Miracle-dz/UniFAR-FTUs huggingface dataset:
Heterogeneity of delusional syndromes: diagnostic criteria and course prognosis.

In addition to genetic findings and treatment response, the course prognosis is also meant to be a possible validating criterion for diagnosis and diagnostic systems. In our study we used the polydiagnostic approach (i.e. the simultaneous application of various criteria for diagnosing a given disorder to one and the same population) to test the ability of several diagnostic systems to create homogeneous groups regarding the course (episodic/chronic). We applied Schneider's FRS, ICD-9, DSM-III, Spitzer's RDC and the Vienna Research Criteria to 90 patients with the diagnosis of delusional syndrome (aside from any nosological classification), who underwent 6-9 years of follow-up. At the index examination, schizophrenia was most frequently diagnosed with Schneider's FRS, which apparently encompasses a very heterogeneous group of patients regarding psychopathology and course. Diagnostic systems which allowed the diagnosis of affective disorders despite the presence of mood-incongruent delusional symptomatology (DSM-III, RDC, Vienna Criteria) or offered the diagnosis of schizoaffective disorder (DSM-III, RDC) succeeded in separating subgroups with an episodic course on a statistically significant level. In ICD-9 this significance appeared only after exclusion of the schizoaffective cases from the group of schizophrenias. Our data thus uphold the old rule of thumb that affective symptomatology apparently has a very high prognostic value regarding the course of the illness and is in this respect superior to productive symptomatology (such as delusions and hallucinations), still taken to be pathognomonic for schizophrenia by some of the diagnostic criteria under study. This aspect warrants further investigation and should be taken into account in the development and improvement of diagnostic manuals (e.g. ICD-10, DSM-IV).
Improving the governance of patient safety in emergency care: a systematic review of interventions

Objectives To systematically review interventions that aim to improve the governance of patient safety within emergency care on effectiveness, reliability, validity and feasibility. Design A systematic review of the literature. Methods PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Database of Systematic Reviews and PsychInfo were searched for studies published between January 1990 and July 2014. We included studies evaluating interventions relevant for higher management to oversee and manage patient safety, in prehospital emergency medical service (EMS) organisations and hospital-based emergency departments (EDs). Two reviewers independently selected candidate studies, extracted data and assessed study quality. Studies were categorised according to study quality, setting, sample, intervention characteristics and findings. Results Of the 18 included studies, 13 (72%) were non-experimental. Nine studies (50%) reported data on the reliability and/or validity of the intervention. Eight studies (44%) reported on the feasibility of the intervention. Only 4 studies (22%) reported statistically significant effects. The use of a simulation-based training programme and well-designed incident reporting systems led to a statistically significant improvement of safety knowledge and attitudes by ED staff and an increase of incident reports within EDs, respectively. Conclusions Characteristics of the interventions included in this review (eg, anonymous incident reporting and validation of incident reports by an independent party) could provide useful input for the design of an effective tool to govern patient safety in EMS organisations and EDs. However, executives cannot rely on a robust set of evidence-based and feasible tools to govern patient safety within their emergency care organisation and in the chain of emergency care. Established strategies from other high-risk sectors need to be evaluated in emergency care settings, using an experimental design with valid outcome measures to strengthen the evidence base.
p90Rsk is not involved in cytostatic factor arrest in mouse oocytes

Vertebrate oocytes arrest in metaphase of the second meiotic division (MII), where they maintain a high cdc2/cyclin B activity and a stable, bipolar spindle because of cytostatic factor (CSF) activity. The Mos–MAPK pathway is essential for establishing CSF. Indeed, oocytes from the mos−/− strain do not arrest in MII and activate without fertilization, as do Xenopus laevis oocytes injected with morpholino oligonucleotides directed against Mos. In Xenopus oocytes, p90Rsk (ribosomal S6 kinase), a MAPK substrate, is the main mediator of CSF activity. We show here that this is not the case in mouse oocytes. The injection of constitutively active mutant forms of Rsk1 and Rsk2 does not induce a cell cycle arrest in two-cell mouse embryos. Moreover, these two mutant forms do not restore MII arrest after their injection into mos−/− oocytes. Eventually, oocytes from the triple Rsk (1, 2, 3) knockout present a normal CSF arrest. We demonstrate that p90Rsk is not involved in the MII arrest of mouse oocytes.
Comparison of Fatty Acid and Gene Profiles in Skeletal Muscle in Normal and Obese C57BL/6J Mice before and after Blunt Muscle Injury

Injury and obesity are two major health burdens affecting millions of people worldwide. Obesity is recognized as a state of chronic inflammation accompanied by various co-morbidities like T2D or cardiovascular diseases. There is increasing evidence that obesity impairs muscle regeneration, which is mainly due to chronic inflammation and to excessive accumulation of lipids in adipose and non-adipose tissue. To compare fatty acid profiles and changes in gene expression at different time points after muscle injury, we used an established drop tower-based model with a defined force input to damage the extensor iliotibialis anticus on the left hind limb of female C57BL/6J mice of normal weight and obese mice. Although most changes in fatty acid content in muscle tissue are diet related, levels of eicosaenoic (normal weight) and DHG-linolenic acid (obese) in the phospholipid and docosahexaenoic acid (normal weight) in the triglyceride fraction are altered after injury. Furthermore, changes in gene transcription were detected in 3829 genes in muscles of normal weight mice, whereas only 287 genes were altered in muscles of obese mice after trauma. Alterations were found within several pathways, among them notch-signaling, insulin-signaling, sonic hedgehog-signaling, apoptosis related pathways, fat metabolism related cholesterol homeostasis, fatty acid biosynthetic process, fatty acid elongation, and acyl-CoA metabolic process. We could show that genes involved in fat metabolism are affected 3 days after trauma induction mostly in normal weight but not in obese mice. The strongest effects were observed in normal weight mice for Alox5ap, the activating protein for leukotriene synthesis, and Apobec1, an enzyme substantial for LDL synthesis. In summary, we show that obesity changes the fat content of skeletal muscle and generally shows a negative impact upon blunt muscle injury on various cellular processes, among them fatty acid related metabolism, notch-, insulin-, sonic hedgehog-signaling, and apoptosis.
A Study of Out of School Children Problem in Rajasthan using K-means clustering with Genetic Algorithm

Clustering technique has been broadly used in numerous disciplines, such as science, statistic, software engineering and other social sciences in order to identify natural groups in large amounts of data. K-means is one of the most generally used partitioning clustering algorithms that tries to locate a user specific number of clusters (k), which are represented by their centroids, by minimizing the square error function. There are two straightforward approaches to cluster center initialization i.e. either to choose the initial values arbitrarily or else to choose the first k samples of the data points. Both approaches cause the algorithm to converge to sub optimal solutions. In contrast Genetic algorithm is one of the most frequently used transformative calculations which perform worldwide research to discover the result to a clustering issue. The algorithm normally begins with an arrangement of haphazardly developed individuals called the populace and design consecutive, new eras of the populace by genetic operations for example population selection, fitness function, crossover and mutation. This paper compares K-means and genetic algorithm based data clustering. A new algorithm is proposed known as genetic algorithm K-means (GAKM). Comparison was done of the basis of external, internal and time complexity.
Evaluation Methods of Antimicrobial Activity of Plastics

There are several methods to evaluate the antimicrobial efficiency of the plastics. In recent work we intended to collect these methods together and compare. There are some methods, which are basically used in the microbial practice for testing antibiotics, and give a good ground for testing other materials. Some other simple methods exist, which can also be used, so the contact between the sample and the inoculums can be solved in many ways.
Quantum variational autoencoder

Variational autoencoders (VAEs) are powerful generative models with the salient ability to perform inference. Here, we introduce a quantum variational autoencoder (QVAE): a VAE whose latent generative process is implemented as a quantum Boltzmann machine (QBM). We show that our model can be trained end-to-end by maximizing a well-defined loss-function: a ‘quantum’ lower-bound to a variational approximation of the log-likelihood. We use quantum Monte Carlo (QMC) simulations to train and evaluate the performance of QVAEs. To achieve the best performance, we first create a VAE platform with discrete latent space generated by a restricted Boltzmann machine. Our model achieves state-of-the-art performance on the MNIST dataset when compared against similar approaches that only involve discrete variables in the generative process. We consider QVAEs with a smaller number of latent units to be able to perform QMC simulations, which are computationally expensive. We show that QVAEs can be trained effectively in regimes where quantum effects are relevant despite training via the quantum bound. Our findings open the way to the use of quantum computers to train QVAEs to achieve competitive performance for generative models. Placing a QBM in the latent space of a VAE leverages the full potential of current and next-generation quantum computers as sampling devices.
The Novel Aminomethylcycline Omadacycline Has High Specificity for the Primary Tetracycline-Binding Site on the Bacterial Ribosome

Omadacycline is an aminomethylcycline antibiotic with potent activity against many Gram-positive and Gram-negative pathogens, including strains carrying the major efflux and ribosome protection resistance determinants. This makes it a promising candidate for therapy of severe infectious diseases. Omadacycline inhibits bacterial protein biosynthesis and competes with tetracycline for binding to the ribosome. Its interactions with the 70S ribosome were, therefore, analyzed in great detail and compared with tigecycline and tetracycline. All three antibiotics are inhibited by mutations in the 16S rRNA that mediate resistance to tetracycline in Brachyspira hyodysenteriae, Helicobacter pylori, Mycoplasma hominis, and Propionibacterium acnes. Chemical probing with dimethyl sulfate and Fenton cleavage with iron(II)-complexes of the tetracycline derivatives revealed that each antibiotic interacts in an idiosyncratic manner with the ribosome. X-ray crystallography had previously revealed one primary binding site for tetracycline on the ribosome and up to five secondary sites. All tetracyclines analyzed here interact with the primary site and tetracycline also with two secondary sites. In addition, each derivative displays a unique set of non-specific interactions with the 16S rRNA.
Activation in the angular gyrus and in the pSTS is modulated by face primes during voice recognition

The aim of the present study was to better understand the interaction of face and voice processing when identifying people. In a S1‐S2 crossmodal priming fMRI experiment, the target (S2) was a disyllabic voice stimulus, whereas the modality of the prime (S1) was manipulated blockwise and consisted of the silent video of a speaking face in the crossmodal condition or of a voice stimulus in the unimodal condition. Primes and targets were from the same speaker (person‐congruent) or from two different speakers (person‐incongruent). Participants had to classify the S2 as either an old or a young person. Response times were shorter after a congruent than after an incongruent face prime. The right posterior superior temporal sulcus (pSTS) and the right angular gyrus showed a significant person identity effect (person‐incongruent > person‐congruent) in the crossmodal condition but not in the unimodal condition. In the unimodal condition, a person identity effect was observed in the bilateral inferior frontal gyrus. Our data suggest that both the priming with a voice and with a face result in a preactivated voice representation of the respective person, which eventually facilitates (person‐congruent trials) or hampers (person‐incongruent trials) the processing of the identity of a subsequent voice. This process involves activation in the right pSTS and in the right angular gyrus for voices primed by faces, but not for voices primed by voices. Hum Brain Mapp 38:2553–2565, 2017. © 2017 Wiley Periodicals, Inc.
Gestational Exposure to the Synthetic Cathinone Methylenedioxypyrovalerone Results in Reduced Maternal Care and Behavioral Alterations in Mouse Pups

The member of synthetic cathinone family, methylenedioxypyrovalerone (MDPV), is a frequently used psychoactive drug of abuse. The objective of our study was to determine the effect of MDPV (administered from the 8th to the 14th day of gestation) on the behavior of neonatal and adolescent mice, as well as its effect on maternal care. We measured maternal care (pup retrieval test, nest building), locomotor activity (open field test), and motor coordination (grip strength test) of dams, whereas on pups we examined locomotor activity at postnatal day 7 and day 21 (open field test) and motor coordination on day 21 (grip strength test). On fresh-frozen brain samples of the dams we examined the expression of two important peptides implicated in the regulation of maternal behavior and lactation: tuberoinfundibular peptide 39 (TIP39) mRNA in the thalamic posterior intralaminar complex, and amylin mRNA in the medial preoptic nucleus. We detected decreased birth rate and survival of offspring, and reduced maternal care in the drug-treated animals, whereas there was no difference between the motility of treated and control mothers. Locomotor activity of the pups was increased in the MDPV treated group both at 7 and 21 days of age, while motor coordination was unaffected by MDPV treatment. TIP39 and amylin were detected in their typical location but failed to show a significant difference of expression between the drug-treated and control groups. The results suggest that chronic systemic administration of the cathinone agent MDPV to pregnant mice can reduce birth rate and maternal care, and it also enhances motility (without impairment of motor coordination) of the offspring.
Design and validation of the first cell‐impermeant melatonin receptor agonist

The paradigm that GPCRs are able to prolong or initiate cellular signalling through intracellular receptors recently emerged. Melatonin binds to G protein‐coupled MT1 and MT2 receptors. In contrast to most other hormones targeting GPCRs, melatonin and its synthetic analogues are amphiphilic molecules easily penetrating into cells, but the existence of intracellular receptors is still unclear mainly due to a lack of appropriate tools.
Visceral Inflammation and Immune Activation Stress the Brain

Stress refers to a dynamic process in which the homeostasis of an organism is challenged, the outcome depending on the type, severity, and duration of stressors involved, the stress responses triggered, and the stress resilience of the organism. Importantly, the relationship between stress and the immune system is bidirectional, as not only stressors have an impact on immune function, but alterations in immune function themselves can elicit stress responses. Such bidirectional interactions have been prominently identified to occur in the gastrointestinal tract in which there is a close cross-talk between the gut microbiota and the local immune system, governed by the permeability of the intestinal mucosa. External stressors disturb the homeostasis between microbiota and gut, these disturbances being signaled to the brain via multiple communication pathways constituting the gut–brain axis, ultimately eliciting stress responses and perturbations of brain function. In view of these relationships, the present article sets out to highlight some of the interactions between peripheral immune activation, especially in the visceral system, and brain function, behavior, and stress coping. These issues are exemplified by the way through which the intestinal microbiota as well as microbe-associated molecular patterns including lipopolysaccharide communicate with the immune system and brain, and the mechanisms whereby overt inflammation in the GI tract impacts on emotional-affective behavior, pain sensitivity, and stress coping. The interactions between the peripheral immune system and the brain take place along the gut–brain axis, the major communication pathways of which comprise microbial metabolites, gut hormones, immune mediators, and sensory neurons. Through these signaling systems, several transmitter and neuropeptide systems within the brain are altered under conditions of peripheral immune stress, enabling adaptive processes related to stress coping and resilience to take place. These aspects of the impact of immune stress on molecular and behavioral processes in the brain have a bearing on several disturbances of mental health and highlight novel opportunities of therapeutic intervention.
Social Validation Influences Individuals’ Judgments about Ownership

In all domains, from informal to formal, there are conflicts about property and ownership which resolution demands consideration of alleged claims from more than one party. In this work we asked adults (N = 359) to judge cases in which a character held a property claim over an item, but is challenged by a second character who holds a different, subsequent claim over it. The specific goal of this work is to investigate how the resolution of such conflicts depends on the social endorsement of ownership claims. To achieve this aim, we designed variations of conflictive situations over property in which we manipulated details regarding the knowledge of the second agent of other third-parties about the first agent’s actions. In essence, our questions were: if an agent claims ownership of something which has a previous property claim on (1) does it matter whether said agent knew of the first’s agent actions or not? And (2) does it matter whether third parties were aware or notified of the first one’s claim? The results confirm that adults resolve the settling of property rights based not only on the nature of ownership claims but also on the social acknowledgment of such claims, in accordance with what is stipulated in legal systems worldwide. Participants considered the second character in the stories to hold a lesser right over the object under dispute when she knew of the first character’s claim. Participants also considered that the first character’s claim was reinforced when there were witnesses for her actions, but not when third parties were merely communicated of such actions. This is the first study to our knowledge that studies how social validation of ownership claims drives adults’ judgments on property claims.
All-Direction Random Routing for Source-Location Privacy Protecting against Parasitic Sensor Networks

Wireless sensor networks are deployed to monitor the surrounding physical environments and they also act as the physical environments of parasitic sensor networks, whose purpose is analyzing the contextual privacy and obtaining valuable information from the original wireless sensor networks. Recently, contextual privacy issues associated with wireless communication in open spaces have not been thoroughly addressed and one of the most important challenges is protecting the source locations of the valuable packages. In this paper, we design an all-direction random routing algorithm (ARR) for source-location protecting against parasitic sensor networks. For each package, the routing process of ARR is divided into three stages, i.e., selecting a proper agent node, delivering the package to the agent node from the source node, and sending it to the final destination from the agent node. In ARR, the agent nodes are randomly chosen in all directions by the source nodes using only local decisions, rather than knowing the whole topology of the networks. ARR can control the distributions of the routing paths in a very flexible way and it can guarantee that the routing paths with the same source and destination are totally different from each other. Therefore, it is extremely difficult for the parasitic sensor nodes to trace the packages back to the source nodes. Simulation results illustrate that ARR perfectly confuses the parasitic nodes and obviously outperforms traditional routing-based schemes in protecting source-location privacy, with a marginal increase in the communication overhead and energy consumption. In addition, ARR also requires much less energy than the cloud-based source-location privacy protection schemes.
Toughening structural adhesives via nano- and micro-phase inclusions

It has been clearly demonstrated that the addition of low concentrations of nanosilica particles to a typical rubber-toughened adhesive, based upon a two-part epoxy formulation, leads to very significant increases in the toughness of the adhesive and also to increases in the glass transition temperature and the single-lap shear strength. The nano-SiO 2 particles have an average particle diameter of 20 nm and are very well dispersed in the epoxy adhesive, and only a concentration of about 1% to 8% by mass of such nanoparticles are needed to achieve significant improvements in the mechanical and thermal performance of the rubber-toughened two-part epoxy adhesive.
A typology of psychiatric reactions to motor vehicle accidents.

Perhaps owing to their commonness, nonserious motor vehicle accidents, i.e. those not resulting in death or major bodily injury, have received scant systematic study in the psychiatric literature. However, patients presenting with lingering psychiatric distress following such accidents are seen commonly in practice. The authors reviewed the patterns of presentation and background circumstances in a series of 55 such cases, presenting at varying periods of time after the incident. They found such patients to cluster into four distinct groups. The most common presentation was that of a depressive syndrome, outnumbering those with features of posttraumatic stress disorder by 3:1.