Miracle-dz/UniFAR-FTUs huggingface dataset:
Cervical Cancer Awareness among Women in Tanzania: An Analysis of Data from the 2011-12 Tanzania HIV and Malaria Indicators Survey

Background Awareness about cervical cancer is a first step in the process of screening and early treatment. The purpose of this study was to provide better understanding of basic knowledge about cervical cancer among women of reproductive age in Tanzania. Method Data were analyzed from the 2011-2012 Tanzania HIV and Malaria Indicators Survey (THMIS) and a sample of 5542 sexually active women from 15 to 49 years of age were included in the analysis. Results Overall knowledge about cervical cancer was high among interviewed women. Only 30.9% of women had never heard about cervical cancer. The predictors of awareness were having secondary or more level of education (AOR = 3.257, 95% CI 2.328–4.557, p < 0.001), residing in urban (AOR = 1.365, 95% CI 1.093–1.705, p < 0.01), being affluent (AOR = 2.685, 95% CI 2.009–3.587, p < 0.001), having one to four children (AOR = 1.36, 95% CI 1.032–1.793), and age of 30–34 years (AOR = 3.15, 95% CI 2.353–4.220, p < 0.001), 35–39 years (AOR = 2.46, 95% CI 1.831–3.308, p < 0.001), and 40–44 years (AOR = 3.46, 95% CI 2.497–4.784, p < 0.001). Conclusion While the cervical cancer landscape in Tanzania has evolved since this survey, coverage has not yet been achieved and access to cervical cancer prevention services for rural women and girls remains a concern. Women who were least likely to be aware of cervical cancer were rural women, less affluent women, those with limited education, and those with limited access to the formal economy. Arguably, these are the women who are most at risk for cervical cancer. To close this gap, Tanzania's ongoing efforts to increase access to high-quality cervical cancer prevention services for all women at risk are commendable.
A lower level of forced expiratory volume in one second predicts the poor prognosis of small cell lung cancer.

Background The impact of impaired pulmonary function on the clinical outcome of small cell lung cancer (SCLC) has not been examined. The objectives of this study were to compare the clinical characteristics and prognosis of SCLC patients with and without impaired pulmonary function and investigate predictors related to the pulmonary function of mortality in SCLC patients. Methods This is a retrospective multicenter study performed between January 2011 and December 2015. In all, 170 SCLC patients that were treated with chemotherapy and/or radiotherapy and had a pulmonary function test (PFT) were enrolled. Patients were divided into the chronic obstructive pulmonary disease (COPD) group and the non-COPD group. The overall survival (OS) was compared and predictors of worse OS were analyzed. Results COPD was present in 54.7% of all SCLC patients. There were no differences in the clinical characteristics and treatment strategies between the COPD and non-COPD groups. OS (log-rank test, P=0.103) was not different between the COPD and non-COPD groups. In a multivariate analysis using a Cox regression model, extensive disease (ED) [hazard ratio (HR) =2.863; 95% CI: 1.787-4.587] and low forced expiratory volume in 1 second (FEV1) <80% (HR =1.854; 95% CI: 1.077-3.192) were independent risk factors for shorter survival. In a subgroup multivariate analysis, a FEV1 less than 80% (HR =5.631; P=0.018) was independently associated with poor OS in patients with ED. Conclusions A low FEV1, not COPD, was a predicting factor for poor treatment outcomes in SCLC patients.
The YABBY Genes of Leaf and Leaf-Like Organ Polarity in Leafless Plant Monotropa hypopitys

Monotropa hypopitys is a mycoheterotrophic, nonphotosynthetic plant acquiring nutrients from the roots of autotrophic trees through mycorrhizal symbiosis, and, similar to other extant plants, forming asymmetrical lateral organs during development. The members of the YABBY family of transcription factors are important players in the establishment of leaf and leaf-like organ polarity in plants. This is the first report on the identification of YABBY genes in a mycoheterotrophic plant devoid of aboveground vegetative organs. Seven M. hypopitys YABBY members were identified and classified into four clades. By structural analysis of putative encoded proteins, we confirmed the presence of YABBY-defining conserved domains and identified novel clade-specific motifs. Transcriptomic and qRT-PCR analyses of different tissues revealed MhyYABBY transcriptional patterns, which were similar to those of orthologous YABBY genes from other angiosperms. These data should contribute to the understanding of the role of the YABBY genes in the regulation of developmental and physiological processes in achlorophyllous leafless plants.
The DNA of Bacteria of the World Ocean and the Earth in Cosmic Dust at the International Space Station

Cosmic dust samples from the surface of the illuminator of the International Space Station (ISS) were collected by a crew member during his spacewalk. The sampler with tampon in a vacuum container was delivered to the Earth. Washouts from the tampon's material and the tampon itself were analyzed for the presence of bacterial DNA by the method of nested PCR with primers specific to DNA of the genus Mycobacteria, DNA of the strains of capsular bacteria Bacillus, and DNA encoding 16S ribosomal RNA. The results of amplification followed by sequencing and phylogenetic analysis indicated the presence of the bacteria of the genus Mycobacteria and the extreme bacterium of the genus Delftia in the samples of cosmic dust. It was shown that the DNA sequence of one of the bacteria of the genus Mycobacteria was genetically similar to that previously observed in superficial micro layer at the Barents and Kara seas' coastal zones. The presence of the wild land and marine bacteria DNA on the ISS suggests their possible transfer from the stratosphere into the ionosphere with the ascending branch of the global electric circuit. Alternatively, the wild land and marine bacteria as well as the ISS bacteria may all have an ultimate space origin.
MAT, a Novel Polyherbal Aphrodisiac Formulation, Enhances Sexual Function and Nrf2/HO-1 Pathway While Reducing Oxidative Damage in Male Rats

Mucuna pruriens, Ashwagandha, and Tribulus terrestris are known as the enhancers for sexual health, functional activities, vitality, and longevity. These herbs had been widely used in the Ayurveda medicine as aphrodisiacs through the ages, and their efficacy was also verified separately in our previous publication. Therefore, the aim of this study was to determine the effects of Mucuna, Ashwagandha, and Tribulus complexes on sexual function in rats. Twenty-eight male rats allocated to four groups as follows: (i) negative control (C); (ii) positive control or sildenafil citrate treated group (5 mg/kg) (S); (iii) MAT1 (combination of 10 mg Mucuna (M) + 10 mg Ashwagandha (A) + 10 mg Tribulus (T)/kg BW); (iv) MAT 2 (20 mg Mucuna + 20 mg Ashwagandha + 20 mg Tribulus/kg BW). There was no significant difference found between the MAT1 and MAT2 groups while they showed significantly increased testosterone, follicle-stimulating hormone (FSH), and luteinizing hormone (LH) levels when compared to the negative control. Significant increases in Nrf2/HO1 levels and decreases in NF-κB were detected in MAT groups similar to the decrease in serum and testis malondialdehyde (MDA) levels as compared to both controls. The sperm motility, count, and rate also significantly improved in both MAT groups, while ALT, AST, creatinine, ALP, and urea levels did not change in any of the groups. Oral consumption of MATs combination in male rats resulted in inhibition of NF-κB and MDA and also increased sex hormones with Nrf2-mediated HO-1 induction. MAT combinations may improve sexual functions by increasing levels of sexual hormones and regulation of NF-κB and Nrf2/HO-1 signaling pathways.
Nutrition and health : from conception to adolescence ’ Symposium II : Infant and childhood nutrition and disease Infant nutrition and allergy

Over the past several decades, the incidence of atopic diseases such as asthma, atopic dermatitis and food allergies has increased dramatically. Although atopic diseases have a clear genetic basis, environmental factors, including early infant nutrition, may have an important influence on their development. Therefore, attempts have been made to reduce the risk of the development of allergy using dietary modifications, mainly focused on longer breast-feeding and delayed introduction or elimination of foods identified as potentially most allergenic. Recently, there is also an increasing interest in the active prevention of atopy using specific dietary components. Many studies have shown that breast-feeding may have the protective effect against future atopic dermatitis and early childhood wheezing. Concerning complementary feeding, there is evidence that the introduction of complementary foods before 4 months of age may increase the risk for atopic dermatitis. However, there is no current convincing evidence that delaying introduction of solids after 6 months of age has a significant protective effect on the development of atopic disease regardless of whether infants are fed cow’s milk protein formula or human subject’s milk, and this includes delaying the introduction of foods that are considered to be highly allergic, such as fish, eggs and foods containing peanut protein. In conclusion, as early nutrition may have profound implications for long-term health and atopy later in life, it presents an opportunity to prevent or delay the onset of atopic diseases.
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

Recent studies have shown that adversarial examples in state-of-the-art image classifiers trained by deep neural networks (DNN) can be easily generated when the target model is transparent to an attacker, known as the white-box setting. However, when attacking a deployed machine learning service, one can only acquire the input-output correspondences of the target model; this is the so-called black-box attack setting. The major drawback of existing black-box attacks is the need for excessive model queries, which may give a false sense of model robustness due to inefficient query designs. To bridge this gap, we propose a generic framework for query-efficient blackbox attacks. Our framework, AutoZOOM, which is short for Autoencoder-based Zeroth Order Optimization Method, has two novel building blocks towards efficient black-box attacks: (i) an adaptive random gradient estimation strategy to balance query counts and distortion, and (ii) an autoencoder that is either trained offline with unlabeled data or a bilinear resizing operation for attack acceleration. Experimental results suggest that, by applying AutoZOOM to a state-of-the-art black-box attack (ZOO), a significant reduction in model queries can be achieved without sacrificing the attack success rate and the visual quality of the resulting adversarial examples. In particular, when compared to the standard ZOO method, AutoZOOM can consistently reduce the mean query counts in finding successful adversarial examples (or reaching the same distortion level) by at least 93% on MNIST, CIFAR-10 and ImageNet datasets, leading to novel insights on adversarial robustness.
Moving osimertinib to first-line: the right "strategy" in the chessboard of epidermal growth factor receptor-mutated non-small cell lung cancer?

In the N Engl J Med , Soria and colleagues have recently reported the results of the phase III randomized FLAURA trial (1), comparing osimertinib with first generation epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) gefitinib or erlotinib in treatment-naive patients with advanced non-small cell lung cancer (NSCLC) and activating EGFR -mutations.
Defatted Kenaf (Hibiscus cannabinus L.) Seed Meal and Its Phenolic-Saponin-Rich Extract Protect Hypercholesterolemic Rats against Oxidative Stress and Systemic Inflammation via Transcriptional Modulation of Hepatic Antioxidant Genes

The present study aimed to investigate the antioxidant and anti-inflammatory properties of defatted kenaf seed meal (DKSM) and its phenolic-saponin-rich extract (PSRE) in hypercholesterolemic rats. Hypercholesterolemia was induced using atherogenic diet feeding, and dietary interventions were conducted by incorporating DKSM (15% and 30%) or PSRE (at 2.3% and 4.6%, resp., equivalent to the total content of DKSM-phenolics and saponins in the DKSM groups) into the atherogenic diets. After ten weeks of intervention, serum total antioxidant capacities of hypercholesterolemic rats were significantly enhanced by DKSM and PSRE supplementation (p < 0.05). Similarly, DKSM and PSRE supplementation upregulated the hepatic mRNA expression of antioxidant genes (Nrf2, Sod1, Sod2, Gsr, and Gpx1) of hypercholesterolemic rats (p < 0.05), except for Gpx1 in the DKSM groups. The levels of circulating oxidized LDL and proinflammatory biomarkers were also markedly suppressed by DKSM and PSRE supplementation (p < 0.05). In aggregate, DKSM and PSRE attenuated the hypercholesterolemia-associated oxidative stress and systemic inflammation in rats, potentially by enhancement of hepatic endogenous antioxidant defense via activation of the Nrf2-ARE pathway, which may be contributed by the rich content of phenolics and saponins in DKSM and PSRE. Hence, DKSM and PSRE are prospective functional food ingredients for the potential mitigation of atherogenic risks in hypercholesterolemic individuals.
Sialic Acid Metabolism: A Key Player in Breast Cancer Metastasis Revealed by Metabolomics

Metastatic breast cancer is currently incurable. It has recently emerged that different metabolic pathways support metastatic breast cancer. To further uncover metabolic pathways enabling breast cancer metastasis, we investigated metabolic differences in mouse tumors of differing metastatic propensities using mass spectrometry-based metabolomics. We found that sialic acid metabolism is upregulated in highly metastatic breast tumors. Knocking out a key gene in sialic acid metabolism, Cmas, inhibits synthesis of the activated form of sialic acid, cytidine monophosphate-sialic acid and decreases the formation of lung metastases in vivo. Thus, the sialic acid pathway may be a new target against metastatic breast cancer.
Production of low cost Bacillus thuringiensis based-biopesticide for management of chickpea pod-borer Helicoverpa armigera (Huebn) in Pakistan

The biopesticide was prepared from locally available low cost ingredients: dried beef blood, molasses and mineral salts (ZnCl2, MgCl2, MnCl2, CaCl2CaCl2, and FeCl3) which were used as medium for the laboratory scale production of Bacillus thuringiensis (B.t.) bio-pesticide by shake flask technique. Indigenous B.t. isolate PA-Sb- 46.3 which produced two crystals—bi-pyramidal and cuboidal was found 73.6 times toxic against H. armigera than reference strain Bacillus thuringiensis var. kurstaki (HD-I-S-1980) used. Medium was fermented for 72 hours at 30℃ ± 2℃ and 160 rpm. 72 h fermented medium showed 95% - 99% sprulation, with spore yield of 3.97 × 109 spores/ml, and LC50 value to 1st instar larvae of H. armigera was 0.53 μg/ml diet. Preservatives and diluents used in the biopesticide were found to be effective to store at room temperature over a period of 30 months. These observations suggested that the biopesticide produced was effective and highly economical for the industrial scale production to manage H. armigera in Pakistan.
Effectiveness and safety of Rituximab in multiple sclerosis: an observational study from Southern Switzerland

Background Despite positive results from phase II and observational studies, Rituximab (RTX) is not currently approved for multiple sclerosis (MS) treatment and can only be used off-label. Objective To characterize MS patients treated with RTX and investigate its effectiveness and safety in a clinical practice setting. Methods Observational analysis of data collected from MS patients at the Neurocenter of Southern Switzerland. Relapses, EDSS worsening, MRI lesion accrual and "evidence of disease activity” (EDA) status were described by Cox regression. RTX and natalizumab treated patients were matched by propensity scores. Results Out of 453 MS patients, 82 were treated with RTX, 43 (52.4%) relapsing-remitting (RRMS) and 39 (47.6%) progressive MS (median age = 48 [40–54] years, females n = 60 [73.2%], EDSS = 4.0 [2.5–6.0], median follow-up = 1.5 [1.0–2.5] years). Three relapses occurred and 59 (75.6%) patients had not EDA at follow-up end. Time to EDA was similar in RTX and natalizumab treated RRMS patients (HR = 1.64, 95%CI = 0.46–5.85, p = 0.44). Twenty-four patients presented non infusion related adverse events (infections), requiring RTX discontinuation in 6 individuals. Conclusion These results provide further evidence for RTX being effective in MS treatment, to a similar extent to natalizumab in RRMS. Clinicians must be vigilant for the potential occurrence of infections.
The effect of communication training using standardized patients on nonverbal behaviors in medical students

Purpose Nonverbal communication (NVC) is important in the patient-physician relationship, but the effect of NVC education is not well kown. In this study, we try to identify if students’ NVC abilities are improved through communication training. Methods First-year medical students conducted medical interviews, which were performed with standardized patients (SPs) before and after communication skill education, and recorded in video. Fifty-one students were enrolled for this study. Two researchers used the NVC checklist, which consists of 12 nonverbal behaviors, to analyze and compare the students’ nonverbal expressions in the interviews recorded before and after the education. Results After the students participated in communication training, open body position and adequate facial expression were increased while unnecessary silence, un-purposive movements, and giggling were decreased. These results can be interpreted as positive effects of the education. However, hand gesture was increased as a negative effect of the education. The total NVC score of the 12 nonverbal behaviors in the NVC checklist improved significantly, rising from 8.56 to 10.03. Conclusion Communication skill education using SPs can improve nonverbal behaviors of medical students, especially facial expression, un-purposive movement, body position, unnecessary silence, and giggle, but not hand gesture. Further research is needed on a variety of teaching methods to improve NVCs.
Synaptic activity induces input‐specific rearrangements in a targeted synaptic protein interaction network

Cells utilize dynamic, network‐level rearrangements in highly interconnected protein interaction networks to transmit and integrate information from distinct signaling inputs. Despite the importance of protein interaction network dynamics, the organizational logic underlying information flow through these networks is not well understood. Previously, we developed the quantitative multiplex co‐immunoprecipitation platform, which allows for the simultaneous and quantitative measurement of the amount of co‐association between large numbers of proteins in shared complexes. Here, we adapt quantitative multiplex co‐immunoprecipitation to define the activity‐dependent dynamics of an 18‐member protein interaction network in order to better understand the underlying principles governing glutamatergic signal transduction. We first establish that immunoprecipitation detected by flow cytometry can detect activity‐dependent changes in two known protein–protein interactions (Homer1‐mGluR5 and PSD‐95‐SynGAP). We next demonstrate that neuronal stimulation elicits a coordinated change in our targeted protein interaction network, characterized by the initial dissociation of Homer1 and SynGAP‐containing complexes followed by increased associations among glutamate receptors and PSD‐95. Finally, we show that stimulation of distinct glutamate receptor types results in different modular sets of protein interaction network rearrangements, and that cells activate both modules in order to integrate complex inputs. This analysis demonstrates that cells respond to distinct types of glutamatergic input by modulating different combinations of protein co‐associations among a targeted network of proteins. Our data support a model of synaptic plasticity in which synaptic stimulation elicits dissociation of pre‐existing multiprotein complexes, opening binding slots in scaffold proteins and allowing for the recruitment of additional glutamatergic receptors.
Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization

Artificial autonomous agents and robots interacting in complex environments are required to continually acquire and fine-tune knowledge over sustained periods of time. The ability to learn from continuous streams of information is referred to as lifelong learning and represents a long-standing challenge for neural network models due to catastrophic forgetting in which novel sensory experience interferes with existing representations and leads to abrupt decreases in the performance on previously acquired knowledge. Computational models of lifelong learning typically alleviate catastrophic forgetting in experimental scenarios with given datasets of static images and limited complexity, thereby differing significantly from the conditions artificial agents are exposed to. In more natural settings, sequential information may become progressively available over time and access to previous experience may be restricted. Therefore, specialized neural network mechanisms are required that adapt to novel sequential experience while preventing disruptive interference with existing representations. In this paper, we propose a dual-memory self-organizing architecture for lifelong learning scenarios. The architecture comprises two growing recurrent networks with the complementary tasks of learning object instances (episodic memory) and categories (semantic memory). Both growing networks can expand in response to novel sensory experience: the episodic memory learns fine-grained spatiotemporal representations of object instances in an unsupervised fashion while the semantic memory uses task-relevant signals to regulate structural plasticity levels and develop more compact representations from episodic experience. For the consolidation of knowledge in the absence of external sensory input, the episodic memory periodically replays trajectories of neural reactivations. We evaluate the proposed model on the CORe50 benchmark dataset for continuous object recognition, showing that we significantly outperform current methods of lifelong learning in three different incremental learning scenarios.