Miracle-dz/UniFAR-FTUs huggingface dataset:
The First Sixty Minutes in Preterm Neonates’ Life: Predicted Morbidities and Interventions

The sudden movement of preterm neonates from the warm environment of the womb to the cold one of delivery rooms along with the immature protective mechanisms and biological systems of newborns make them fragile and susceptible to a variety of morbidities. Creating a delivery room with a complete thermoneutral medium (a medium in which oxygen consumption is minimal) is an unattainable target which makes external interventions to achieve infants’ well-being an inevitable issue. During the initial sixty minutes of neonatal life “the golden hour”, how health care providers intervene to prevent these morbidities could affect their short & long-term consequences that range from mild defects up to permanent hearing and vision loss and death [1]. The term “the golden hour” has primarily been introduced to scientific literature by traumatology disciplines referring to the first hour of treatment of traumatized patients [2]. In this review, we have covered multiple aspects of different complications including hypothermia, hypoglycemia, respiratory distress, intraventricular hemorrhage (IVH) and retinopathy of prematurity (ROP). Each one of these morbidities has been discussed separately in terms of its mechanism of detriment, short and long-term complications, potential techniques and medications that could be provided to bypass these complications.
Prevalence and Genotypes of Hepatitis B Virus Infection in Patients Underwent Coronary Angiography and Coronary Artery Bypass Grafting in Mazandaran Heart Center, Sari, Iran

ABSTRACT Background: Hepatitis B virus (HBV) infection is a major global health problem in the worldwide that associated with significant morbidity and mortality in cardiac surgery. The available data on HBV distribution and genotyping of HBV are very heterogeneous. Therefore in this study, we tried to indicate the prevalence of HBV infections in cardiac catheterization patients referred to health centers in the north of Iran and identified the HBV genotypes using polymerase chain reaction (PCR). Methods: In this cross-sectional study, we studied 2650 patients who underwent selective coronary artery angiography and coronary artery bypass grafting in Mazandaran heart center, Sari, Iran from 2011 to 2013. All serum samples were examined to detect HBsAg by ELISA test. HBV-DNA was extracted from HBsAg positive samples using Mini Elute Kit from Qiagen and determined the genotypes of HBV by PCR using the Master Mix kit with Taq-DNA polymerase enzyme and with type of specific primers. All samples were examined in the virology laboratory of Sari Medical School. Results: The mean age of patients was 59.7±10.9 (range, 20 to 81) year that 1590 (60%) patients were male and 1060 (40%) were female. Seventeen cases (0.08 %) were found with hepatitis B virus infection, and the highest rates of infection were reported among those aged 40–60 years old in this study. We found genotype D the predominant type in this study. Conclusion: This study indicates that the prevalence of HBV endemicity in the north of Iran is low and genotype D is the only genotype in patients infected with HBV.
“It’s in the Cards”

In this article, we present the use of illustrated metaphorical cards as a technique to enrich the qualitative narrative interview. We examine the advantages of incorporating a projective tool to assist in constructing and understanding personal narratives of people living with severe mental illness. We interviewed 25 participants—staff and members of a clubhouse in Israel (an international community model of rehabilitation in mental health)—and sought to understand their stories focused on personal and organizational values. The findings revealed that, in most cases, the cards contributed to data collection by enhancing the interviewees’ ability for expression and by facilitating richer, more comprehensive stories and descriptions. This in turn enhanced the researcher’s ability to understand the messages and stories presented. The research conclusions discuss the cards’ potential contribution to improving data collection and analysis. The cards became an additional channel for expressing participants’ experiences, emotions, and unique voice.
Trying to Understand PEG

Parsing Expression Grammar (PEG) encodes a recursive-descent parser with limited backtracking. Its properties are useful in many applications. In its appearance, PEG is almost identical to a grammar in the Extended Backus-Naur Form (EBNF), but may deﬁne a different language. Recent research formulated some conditions under which PEG is equivalent to its interpretation as EBNF. However, PEG has a useful feature, namely syntactic predicate, that is alien to EBNF. The equivalence results apply thus only to PEG without predicates. The paper considers PEG with predicates. Not being able to investigate equivalence, the paper turns to the limited backtracking that is the main source of diﬃculty in understanding PEG. It is shown that the limitation of backtracking has no eﬀect under conditions similar to those for PEG without predicates. There is, in general, no mechanical way to check these conditions, but they can be often checked by inspection. The paper outlines an experimental tool to facilitate such inspection.
Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment

A centralized infrastructure system carries out existing data analytics and decision-making processes from our current highly virtualized platform of wireless networks and the Internet of Things (IoT) applications. There is a high possibility that these existing methods will encounter more challenges and issues in relation to network dynamics, resulting in a high overhead in the network response time, leading to latency and traffic. In order to avoid these problems in the network and achieve an optimum level of resource utilization, a new paradigm called edge computing (EC) is proposed to pave the way for the evolution of new age applications and services. With the integration of EC, the processing capabilities are pushed to the edge of network devices such as smart phones, sensor nodes, wearables, and on-board units, where data analytics and knowledge generation are performed which removes the necessity for a centralized system. Many IoT applications, such as smart cities, the smart grid, smart traffic lights, and smart vehicles, are rapidly upgrading their applications with EC, significantly improving response time as well as conserving network resources. Irrespective of the fact that EC shifts the workload from a centralized cloud to the edge, the analogy between EC and the cloud pertaining to factors such as resource management and computation optimization are still open to research studies. Hence, this paper aims to validate the efficiency and resourcefulness of EC. We extensively survey the edge systems and present a comparative study of cloud computing systems. After analyzing the different network properties in the system, the results show that EC systems perform better than cloud computing systems. Finally, the research challenges in implementing an EC system and future research directions are discussed.
A new predictive control technique for force control of pneumatic actuator plant

A new predictive control technique has been proposed in this article. The proposed strategy is based on the control matrix formulation combined with a tuning technique using model regression. Poor dynamics and high nonlinearities are parts of the difficulties in the control of pneumatic actuator functions, which make the proposed matrix an attractive solution. The proposed regression technique expression of the move suppression λPγ is applied with the proposed matrix to achieve the best result. The performance of the designed controller achieved impressive results for its quick response and accurate behavior of the tracking compared to the conventional method. The developed controller is applied to a pneumatic actuator to optimize the force and to reduce the impact of measurement noise of the system to achieve better and smoother tracking.
Camera model identification with residual neural network

With the development of multimedia, camera model identification from given images has attract large attentions in cyber-forensic area recently. The task has achieved a great improvement due to some deep learning methods, where the features are extracted with the stacked architectures. However, it should be considered that both low-level and highlevel features have contributions to the recognition. In this paper, we investigate the task with another deep learning model, residual neural network (ResNet). Proposed framework has been evaluated on the experiments of brand-attribution, model-attribution and device-attribution. Besides, we also include cell phone model identification in the brand-attribution experiment for the first time. The classification results have demonstrated that the proposed work has the ability of enhancing the identification performances compared with existing methods in each specific task. The proposed work can be considered as an effective approach on image forensics.
Angiotensin 1‐7 inhibits angiotensin II‐stimulated head and neck cancer progression

Angiotensin II (Ang II) is the product of the proteolytic action of angiotensin-converting enzyme (ACE) on the precursor peptide, angiotensin I (Ang I). In addition to its vasoactive properties, Ang II is able to stimulate angiogenesis and act as a mitogen, promoting cellular proliferation. Recently, evidence has emerged that Ang II is also able to promote tumour invasion, a key step in the metastatic cascade, although the mechanisms by which it does so remain largely obscure. Here we show that Ang II is able to promote the invasion and migration of head and neck squamous cell carcinoma (HNSCC) cells both in an autocrine manner and by triggering stromal tumour-paracrine interactions. The effects of Ang II on autocrine and paracrine signalling pathways are mediated by angiotensin receptor 1 (AT1 R) and inhibited by angiotensin 1-7 (Ang 1-7), a peptide produced from Ang II by the action of angiotensin-converting enzyme 2 (ACE2). These data are the first to demonstrate a role for the renin-angiotensin system in oral carcinogenesis and raise the possibility of utilizing AT1 R receptor antagonists and/or Ang 1-7 as novel therapeutic agents for HNSCC.
Cardiac manifestations of Anderson‐Fabry disease in children and adolescents

Aim: Fabry disease (Fabry) is a rare X‐linked disorder caused by a deficiency of the lysosomal enzyme α‐galactosidase A. The progressive accumulation of the major substrate, globotriaosylceramide, leads to renal dysfunction and hypertrophic cardiomyopathy, which are reported to become apparent in the third decade. This study was performed to determine if signs of cardiac manifestations of Fabry are seen in younger Fabry patients.
Analysis of Conservative Surgical Treatment and Prognosis of Microinvasive Squamous Cell Carcinoma of the Cervix Stage IA1: Results of Follow-Up to 20 Years

Objective The aim of this study was to evaluate the prognosis and recurrence of microinvasive squamous cervical (MIC) cancer stage IA1 in women treated conservatively or by hysterectomy, and followed-up to 20 years. Methods It was studied in a cohort of 139 women with MIC, 41 definitively managed by conization and 98 by hysterectomy from January 1994 to December 2003 and followed-up until 2013. The definitive treatment, age, conization technique (loop electrosurgical excision procedure or cold knife conization), cone margin, residual disease in hysterectomy specimen, and the association with recurrence (intraepithelial cervical neoplasia grade 3/intraepithelial vaginal neoplasia grade 3 or worse, and microinvasive or worse) were analyzed. Results There were 2.5 times more conservative treatment in younger women than older (>40 years), and high proportion of residual disease in hysterectomy specimens (67% of intraepithelial cervical neoplasia grade 3 or worse), more common if positive cone margin (74% vs 35%, P < 0.002). There were 2.3% (3/133) recurrences detected as microinvasive or worse, and 6% (8/133) recurrences detected as intraepithelial cervical neoplasia grade 3/intraepithelial vaginal neoplasia grade 3 or worse: 7.3% (3/41) in the conization group and 5.4% (5/92) in the hysterectomy group (P = 0.701). Almost all recurrences (88%, 7/8) were diagnosed until 36 months after treatment, and they were not associated with conization technique. There were no differences in risk of recurrence and overall disease-free survival time related to type of treatment. Conclusions This study demonstrates the good prognosis of MIC, regardless the treatment. When fertility is not a concern, hysterectomy should be considered as definitive treatment to avoid the risk of residual disease. Regular follow-up for a long period should be maintained.
Extending the 'cross-disorder' relevance of executive functions to dimensional neuropsychiatric traits in youth.

BACKGROUND Evidence that different neuropsychiatric conditions share genetic liability has increased interest in phenotypes with 'cross-disorder' relevance, as they may contribute to revised models of psychopathology. Cognition is a promising construct for study; yet, evidence that the same cognitive functions are impaired across different forms of psychopathology comes primarily from separate studies of individual categorical diagnoses versus controls. Given growing support for dimensional models that cut across traditional diagnostic boundaries, we aimed to determine, within a single cohort, whether performance on measures of executive functions (EFs) predicted dimensions of different psychopathological conditions known to share genetic liability. METHODS Data are from 393 participants, ages 8-17, consecutively enrolled in the Longitudinal Study of Genetic Influences on Cognition (LOGIC). This project is conducting deep phenotyping and genomic analyses in youth referred for neuropsychiatric evaluation. Using structural equation modeling, we examined whether EFs predicted variation in core dimensions of the autism spectrum disorder, bipolar illness, and schizophrenia (including social responsiveness, mania/emotion regulation, and positive symptoms of psychosis, respectively). RESULTS We modeled three cognitive factors (working memory, shifting, and executive processing speed) that loaded on a second-order EF factor. The EF factor predicted variation in our three target traits, but not in a negative control (somatization). Moreover, this EF factor was primarily associated with the overlapping (rather than unique) variance across the three outcome measures, suggesting that it related to a general increase in psychopathology symptoms across those dimensions. CONCLUSIONS Findings extend support for the relevance of cognition to neuropsychiatric conditions that share underlying genetic risk. They suggest that higher-order cognition, including EFs, relates to the dimensional spectrum of each of these disorders and not just the clinical diagnoses. Moreover, results have implications for bottom-up models linking genes, cognition, and a general psychopathology liability.
Graphene/Polyaniline Nanofiber Composites as Supercapacitor Electrodes

Chemically modified graphene and polyaniline (PANI) nanofiber composites were prepared by in situ polymerization of aniline monomer in the presence of graphene oxide under acid conditions. The obtained graphene oxide/PANI composites with different mass ratios were reduced to graphene using hydrazine followed by reoxidation and reprotonation of the reduced PANI to give the graphene/PANI nanocomposites. The morphology, composition, and electronic structure of the composites together with pure polyaniline fibers (PANI-F), graphene oxide (GO), and graphene (GR) were characterized using X-ray diffraction (XRD), solid-state 13C NMR, FT-IR, scanning electron microscope (SEM), transmission electron microscope (TEM), thermogravimetric analysis (TGA), and X-ray photoelectron spectroscopy (XPS). It was found that the chemically modified graphene and the PANI nanofibers formed a uniform nanocomposite with the PANI fibers absorbed on the graphene surface and/or filled between the graphene sheets. Such uniform structur.
Urinary Cotinine Level in Indonesian Children Exposed to Domestic Cigarette Smoke

Background: Cotinine is a major metabolite of nicotine, and its urinary level is an indicator of exposure to cigarette smoke. The present study was aimed at identifying the urinary cotinine level in Indonesian children who were exposed and not exposed to domestic cigarette smoke. Methods: The study was a cross-sectional study in elementary school-aged children who had not smoked. The subjects were categorized into an exposed group and unexposed group based on their exposure status. Data were obtained from a questionnaire and random urinary samples measured using enzyme-linked immunosorbent assay. Results: There were a total of 128 subjects, including 64 children in the exposed group and 64 children in the unexposed group. The median level of cotinine in all subjects was 17.95 ng/ml (with a range of 0.1–158.3 ng/ml). The urinary cotinine level in the exposed group was higher than the unexposed group (median: 30.1 ng/ml vs. 8.45 ng/ml; P < 0.000). There was a correlation between urinary cotinine levels in children exposed to cigarette smoke and the number of cigarettes smoked by the smokers at home (P < 0.05). The optimal cut-off points of urinary cotinine levels in children, which was utilized to evaluate cigarette smoke exposure, was 17.95 ng/ml (81% sensitivity; 81% specificity; P < 0.000). Conclusion: The urinary cotinine level in children exposed to cigarette smoke is higher than children who are not exposed to domestic cigarette smoke. The urinary cotinine level can be used as a noninvasive marker to evaluate cigarette smoke exposure in children.
Glutamatergic Modulators in Depression

Learning objective After participating in this activity, learners should be better able to evaluate the evidence supporting the antidepressant effects of glutamatergic modulators. Both preclinical and clinical studies have implicated glutamatergic system dysfunction in the pathophysiology of mood disorders such as bipolar depression and major depressive disorder. In particular, rapid reductions in depressive symptoms have been noted in response to subanesthetic doses of the glutamatergic modulator ketamine in subjects with major depressive disorder or bipolar depression. These results have prompted the repurposing or development of other glutamatergic modulators, both as monotherapy or adjunctive to other therapies. Here, we highlight the evidence supporting the antidepressant effects of various glutamatergic modulators, including (1) broad glutamatergic modulators (ketamine, esketamine, dextromethorphan, dextromethorphan-quinidine [Nuedexta], AVP-786, nitrous oxide [N2O], AZD6765), (2) subunit (NR2B)-specific N-methyl-D-aspartate (NMDA) receptor antagonists (CP-101,606/traxoprodil, MK-0657 [CERC-301]), (3) glycine-site partial agonists (D-cycloserine, GLYX-13, sarcosine, AV-101), and (4) metabotropic glutamate receptor modulators (AZD2066, RO4917523/basimglurant, JNJ40411813/ADX71149, R04995819 [RG1578]).
Nucleosomal signatures impose nucleosome positioning in coding and noncoding sequences in the genome

In the yeast genome, a large proportion of nucleosomes occupy well-defined and stable positions. While the contribution of chromatin remodelers and DNA binding proteins to maintain this organization is well established, the relevance of the DNA sequence to nucleosome positioning in the genome remains controversial. Through quantitative analysis of nucleosome positioning, we show that sequence changes distort the nucleosomal pattern at the level of individual nucleosomes in three species of Schizosaccharomyces and in Saccharomyces cerevisiae. This effect is equally detected in transcribed and nontranscribed regions, suggesting the existence of sequence elements that contribute to positioning. To identify such elements, we incorporated information from nucleosomal signatures into artificial synthetic DNA molecules and found that they generated regular nucleosomal arrays indistinguishable from those of endogenous sequences. Strikingly, this information is species-specific and can be combined with coding information through the use of synonymous codons such that genes from one species can be engineered to adopt the nucleosomal organization of another. These findings open the possibility of designing coding and noncoding DNA molecules capable of directing their own nucleosomal organization.
Antibiogram for Periprosthetic Infections: A Tool for Better Informed Selection of Empiric Antibiotics for Surgical Site Infections

IntroductionPeriprosthetic infection after breast reconstruction is not an uncommon complication, with incidence up to 24%. These infections are often treated empirically without knowing the causative bacteria or its sensitivities to various antibiotics. Even if cultures are obtained, results may not be available for several days. MethodsA retrospective chart review of 553 patients at a single institution between January 2009 and July 2014 was performed, identifying patients who (1) underwent implant-based breast reconstruction and subsequently suffered an infection and (2) had cultures available with sensitivities. We reviewed patient demographics, implant characteristics, prophylactic intravenous antibiotics, oral antibiotic maintenance used, microbiologic details, and outcomes. The goal was to identify the most common causative bacteria, as well as their sensitivities to commonly used antibiotics, to help guide antibiotic decision-making. ResultsOf the 553 patients who underwent implant-based reconstruction, 114 (20.6%) patients suffered periprosthetic infections. Of these patients, 32 (28.1%) patients (56 reconstructions, with 33 tissue expanders and 23 implants) had cultures performed revealing 43 bacterial species, with the most common being Staphylococcus aureus (23.2%) and Pseudomonas aeruginosa (26.8%). Ceftazidime and piperacillin/tazobactam were equally effective covering 100% of Pseudomonas, enteric, and atypical organisms (P = 1), whereas vancomycin covered 100% of gram-positive organisms. Trimethoprim/sulfamethoxazole covered 100% of S. aureus, whereas clindamycin only covered 71% of S. aureus (P = 0.03). Additionally, trimethoprim/sulfamethoxazole was better able to cover atypical and enteric organisms. Ciprofloxacin covered 71% of Pseudomonas compared with 56% for levofloxacin (P = 0.14). Interestingly, cephalexin, a common choice for perioperative prophylaxis, was highly ineffective for gram-positive species in patients who later returned with infections. ConclusionsThis study supports the efficacy of current intravenous antibiotics protocols but questions the efficacy of both clindamycin and levofloxacin in empirically treating periprosthetic infections and cephalexin in providing effective perioperative prophylaxis against skin flora. Because bacterial sensitivities vary by location and patient population, this study encourages other centers to develop their own antibiogram specifically tailored to periprosthetic infections to improve antimicrobial decision making and potentially improve implant salvage.