Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of Plant Growth and Development: A Review From a Chromatin Remodeling Perspective

In eukaryotes, genetic material is packaged into a dynamic but stable nucleoprotein structure called chromatin. Post-translational modification of chromatin domains affects the expression of underlying genes and subsequently the identity of cells by conveying epigenetic information from mother to daughter cells. SWI/SNF chromatin remodelers are ATP-dependent complexes that modulate core histone protein polypeptides, incorporate variant histone species and modify nucleotides in DNA strands within the nucleosome. The present review discusses the SWI/SNF chromatin remodeler family, its classification and recent advancements. We also address the involvement of SWI/SNF remodelers in regulating vital plant growth and development processes such as meristem establishment and maintenance, cell differentiation, organ initiation, flower morphogenesis and flowering time regulation. Moreover, the role of chromatin remodelers in key phytohormone signaling pathways is also reviewed. The information provided in this review may prompt further debate and investigations aimed at understanding plant-specific epigenetic regulation mediated by chromatin remodeling under continuously varying plant growth conditions and global climate change.
AA amyloidosis – Benefits and prospects of IL-6 inhibitors

Abstract AA amyloidosis may develop in patients with active chronic inflammation. Serum amyloid A (SAA), the precursor of the AA protein, is strongly amplified in the liver under the stimulation of inflammation-associated cytokines, such as IL-6, TNF, and IL-1. Sustained inflammation, aging, and polymorphisms in the SAA1.3 genotype are dependent risk factors for the formation of AA amyloidosis. The most rational treatment strategy for AA amyloidosis is to inhibit the production of SAA. Treatments for AA amyloidosis involving biologics have recently been emphasized. TNF inhibitors and abatacept reduce SAA levels; however, complete normalization is not always achieved. IL-6 inhibitors may normalize SAA levels in most patients in whom a sufficient concentration of medication is maintained in the blood. Therefore, treatments with IL-6 inhibitors represent an excellent therapeutic strategy for AA amyloidosis and have been verified by recent studies.
Protein Hydrolysate Stimulates Growth in Tomato Coupled With N-Dependent Gene Expression Involved in N Assimilation

Plant-derived protein hydrolysates (PHs) have received increased attention in the last decade because of their potential to improve yield, nutritional quality as well as tolerance to abiotic stressors. The current study investigated the effects and the molecular mechanisms of a legume-derived PH under optimal and sub-optimal nitrogen (N) concentrations (112 and 7 mg L−1, respectively) in tomato (Solanum lycopersicum L.). Growth and mineral composition of tomato plants treated with PHs by foliar spray or substrate drench were compared to untreated plants. In addition, the expression was determined of genes encoding ammonium and nitrate transporters and seven enzymes involved in N metabolism: nitrate reductase (NR), nitrite reductase (NiR), glutamine synthetase 1 (GS1), glutamine synthetase 2 (GS2), ferredoxin-dependent glutamate synthase (GLT), NADH-dependent glutamate synthase (GLS), and glutamate dehydrogenase (GDH). The root and total plant dry weight, SPAD index and leaf nitrogen content were higher by 21, 17, 7, and 6%, respectively, in plants treated by a substrate drench in comparison to untreated tomato plants, whereas foliar application of PH gave intermediate values. PH-treated plants grown with lower N availability showed reduced expression of NR and NiR as well as of nitrate and ammonium transporter transcripts in both leaf and root tissues in comparison with untreated plants; this was especially pronounced after application of PH by substrate drench. Conversely, the transcript level of an amino acid transporter gene was up-regulated in comparison with untreated plants. At high N regime, the transcript levels of the ammonium and amino acid transporters and also NR, NiR, and GLT were significantly up-regulated in root after PH foliar and substrate drench applications compared with untreated plants. An up-regulation was also observed for GS1, GS2, and GDH transcripts in leaf after substrate drench. These results highlighted the potential benefits of using legume PH in vegetable production systems to increase growth and N-nutritional status of plants.
Acculturative Stress, Social Problem Solving, and Depressive Symptoms among Korean American Immigrants

The present study examined the relationship among acculturative stress, social problem solving, and depressive symptoms among 107 Korean American immigrants. Hierarchical regression analysis showed that acculturative stress significantly predicted depressive symptoms controlling for different domains of acculturation. With regard to the role of social problem solving, among the five dimensions of social problem solving (i.e., positive problem orientation, negative problem orientation, rational problem solving, impulsive/careless style, and avoidant style), negative problem orientation and impulsive/careless style significantly predicted depressive symptoms. Avoidant style significantly interacted with acculturative stress, indicating that avoidant style is associated with depressive symptoms when acculturative stress is high. The study underscores the impact of culture as well as severity of stress on the relationship among acculturative stress, coping, and depressive symptoms among Korean American immigrants.
Android Malware Detector Exploiting Convolutional Neural Network and Adaptive Classifier Selection

Convolutional Neural Network (CNN) has achieved success in Android malware detection and many other fields. However, the empirical evaluation of previous studies have shown that no single machine learning classifier is capable to provide the best accuracy in any context. In this paper, a new method for Android malware detection is proposed, we replace the single machine learning classifier in CNN with Adaptive Selection of Classifiers (ASC) to improve the performance of malware classification. We test our method on 1746 apk samples with 1000 malware, the result shows the accuracy of our approach performs 4.27% better than the state-of–art CNN model used in the current research.
The Probabilistic Genotyping Software STRmix: Utility and Evidence for its Validity

Forensic DNA interpretation is transitioning from manual interpretation based usually on binary decision‐making toward computer‐based systems that model the probability of the profile given different explanations for it, termed probabilistic genotyping (PG). Decision‐making by laboratories to implement probability‐based interpretation should be based on scientific principles for validity and information that supports its utility, such as criteria to support admissibility. The principles behind STRmix™ are outlined in this study and include standard mathematics and modeling of peak heights and variability in those heights. All PG methods generate a likelihood ratio (LR) and require the formulation of propositions. Principles underpinning formulations of propositions include the identification of reasonably assumed contributors. Substantial data have been produced that support precision, error rate, and reliability of PG, and in particular, STRmix™. A current issue is access to the code and quality processes used while coding. There are substantial data that describe the performance, strengths, and limitations of STRmix™, one of the available PG software.
Incidence of cervical intraepithelial neoplasia in women infected with human immunodeficiency virus (HIV) with no evidence of disease at baseline: Results of a prospective cohort study with up to 6.4 years of follow‐up from India

We report the incidence of cervical intraepithelial neoplasia (CIN) among HIV‐infected women who did not have any colposcopic or histopathological evidence of CIN at baseline. Of the 1,023 women without any CIN at baseline, 855 (83.6%) have been followed up to a maximum of 6.4 years contributing 2,875 person years of observation (PYO). Among these 855 women, 54 cases of any CIN were observed resulting in incidence rate of any CIN of 1.9 per 100 PYO. The median time for follow‐up for women with any CIN was 3.0 (IQR 1.6–3.7) years. The cumulative incidence rate per 100 PYO of CIN 2 or worse lesion in women with HPV‐18 infection at baseline was 13.3% (95% CI 5.1–26.8); in women with HPV‐16 infection was 10.8% (95% CI 4.4–20.9); in women with HPV‐31 infection was 4.2% (95% CI 0.9–11.7); and in women with other high‐risk HPV infections was 5.4% (95% CI 2.6–9.7). HPV‐18 infection at baseline contributed highest frequency of incident CIN 2 or worse lesions followed by HPV‐16 infection; however, other high‐risk HPV types were also responsible for substantial number of incident CIN. The elevated risk of CIN2+ disease in the study cohort was non‐significant in women with CD4 count <200, possibly because of the small number of cases. Our results emphasize the need for regular cervical cancer screening of HIV‐infected women and urgent implementation of cervical cancer screening services in HIV programs in India and other low and middle‐income countries.
Application of liquisolid technology for promoting the renoprotective efficacy of walnut extracts in chronic renal failure rat model

Abstract Chronic renal failure (CRF) is among the major health problems that could lead to increased morbidity and mortality among population. ‘Nutraceuticals’ is an emerging field for natural agents from plant foods that could reduce the progression of such disease. Many newly developed drugs are having bioavailability problems owing to their water insolubility. Liquisolid technique is one of the promising technological approaches to increase solubility and hence, drug absorption. The aim of the present research is to prepare and evaluate the renoprotective effect of the walnut extracts liquisolid formulations in CRF rat model. Saturation solubility study claimed PEG 400 and Tween 20 as good solubilizers for walnut extracts, thus chosen for preparation. The angle of slide was determined for the carrier; microcrystalline cellulose and coating material; silicon dioxide and liquid load factor was evaluated. Eight liquisolid systems were prepared employing 25% and 50% of liquid medication. Their flow and compressibility parameters showed good properties. Dissolution study was more in favor of formulations prepared using PEG 400. Of these, formulation F8 comprising carrier/coat ratio (10:1) and 50% liquid medication, showing superior dissolution properties was selected to perform stability and in-vivo evaluations. Two CRF induced rat groups received F8 at two oral doses (50 and 100 mg/kg). Biochemical and nutritional parameters were compared with both normal and CRF control rats. Results showed improvement of renal function, oxidative stress, antioxidant and inflammatory biomarkers as well as increased appetite and body weight gain on administration of both doses of walnut liquisolid formulation, F8.
The impact of nuts consumption on glucose/insulin homeostasis and inflammation markers mediated by adiposity factors among American adults

Background Inconclusive results have been published regarding the impact of nut consumption on glucose/insulin homeostasis and inflammatory factors. Furthermore, it remains unanswered whether adiposity factors could mediate the association between nut consumption, glucose/insulin homeostasis and inflammatory markers; this is what the current study aims to investigate. Results From a total of 16,784 individuals, 48.2% participants were men; overall mean age was 47.2 years. Age-, sex-, energy intake and race-adjusted mean of serum C-reactive protein (CRP)(0.49 to 0.26 mg/dl), apolipoprotein-β (apo- β) (95.6 to 90.8 mg/dl), glucose/insulin homeostasis parameters and triglyceride-glucose index (TyG) index (8.32 to 7.95) significantly decreased as the quartile of nut intake increased (all p < 0.001). We found that all evaluated potential mediators had significant and positive associations with markers of glucose/insulin homeostasis or inflammation (all p < 0.001). With regard to BMI, the mediated effects were significant for the associations between nut consumption and CRP, fasting blood glucose, insulin, hemoglobin A1c (HbA1c), triglyceride to high-density lipoprotein (TG:HDL) ratio and TyG index (all p < 0.001). As for WC, it had mediator impact on CRP, fasting blood glucose, HbA1c, TG:HDL ratio and TyG index (all p < 0.001). apVAT played no mediation role for any association (all p > 0.05). Conclusions This is the first study which quantify the role of nut consumption on inflammatory and glucose/insulin homeostasis markers. Nut intake was inversely associated with inflammatory and glucose/insulin homeostasis markers. Certain adiposity indexes (i.e. BMI and WC) mediated these associations. These findings convey an important message for the crucial role of weight management with dietary recommendations. Method We extracted data from the National Health and Nutrition Examination Survey (2005–2010) on nut consumption to evaluate the association between nut intake and markers of glucose/insulin homeostasis and inflammation. We assessed whether this link, if any, is mediated or affected by adiposity factors, including body mass index (BMI), waist circumference (WC, marker of central adiposity), anthropometrically predicted visceral adipose tissue (apVAT), visceral adiposity index (VAI, indicator of adipose distribution) and lipid accumulation product (LPA, novel index of central lipid accumulation). Analysis of co-variance and conceptus causal mediation analysis were conducted based on survey design and sample weights.
Factors that influence functional ability in individuals with spinal cord injury: A cross-sectional, observational study

Background Spinal cord injuries result in devastating impairments that can produce severe functional limitations. However, few documented studies have investigated the levels of function and factors that influence functional ability at discharge from in-patient rehabilitation facilities in Gauteng following such injuries. This necessitated further investigation. Method Fifty participants were recruited for this cross-sectional, observational study. Participants were recruited from one private and one government spinal rehabilitation unit in Gauteng. A custom-developed questionnaire was used to establish the physical and demographic characteristics of the sample, whilst existing classification scales and measures were used to establish the degree of a lesion and a patient’s associated functional ability. Data were analysed using descriptive statistics. Multiple regression analysis was performed to determine factors that influenced the level of functional ability. Results Patients achieved an average functional independence score of 64.6 (± 27.6) at discharge according to the Spinal Cord Independence Measure III. Longer stays at rehabilitation facilities were associated with higher scores, whereas scores decreased with increasing patient age. Pressure sores and spasticity affected scores negatively. The type of funding also influenced patients’ scores, with government funding being associated with the best outcome. Both the degree and the level at which the injury occurred could be considered predictive measures that influenced functional independence scores. Conclusion Most participants were not functionally independent at discharge. Factors such as patient age, length of rehabilitation, presence of pressure sores or spasticity, degree of motor ability and location of the injury should be considered in tailoring rehabilitation therapy.
Twins Switched at Birth: Frequency, Life Histories, Twin Relationships, and Critical Issues/Twin Research Reviews: Classroom Placement; Mirror Syndrome; Unusual Twinning; Parenting Stress/Human Interest: Triplet Film; Educational Achievement; Prison Release; Co-Twin Impersonation; Facial Recognition

Twins switched at birth are a rare subtype of twins who grow up apart. The frequency with which this event occurs, as well as selected life history events, twin relationships, and critical issues generated by the nine recorded cases are reviewed. This is followed by summaries of recent studies addressing classroom placement for twins, mirror syndrome in mothers, unusual twin types, and parenting stress. The article concludes with a review of human interest items from the general media, namely a triplet film, educational achievement, prison release, co-twin impersonation, and facial recognition technology.
Increased stressor‐evoked cardiovascular reactivity is associated with reduced amygdala and hippocampus volume

Abstract Exaggerated cardiovascular reactivity to acute psychological stress is associated with an increased risk of developing cardiovascular disease. The amygdala and hippocampus have been implicated in centrally mediating stressor‐evoked cardiovascular reactivity. However, little is known about the associations of amygdala and hippocampus morphology with stressor‐evoked cardiovascular reactivity. Forty (M age = 19.05, SD = 0.22 years) healthy young women completed two separate testing sessions. Session 1 assessed multiple parameters of cardiovascular physiology at rest and during a validated psychological stress task (Paced Auditory Serial Addition Test), using electrocardiography, Doppler echocardiography, and blood pressure monitoring. In Session 2, 1 year later, structural MRI was conducted. Brain structural volumes were computed using automated segmentation methods. Regression analyses, following Benjamini‐Hochberg correction, showed that greater heart rate and cardiac output reactivity were associated with reduced amygdala and hippocampus gray matter volume. Systolic blood pressure reactivity was associated with reduced hippocampus volume. In contrast, no associations between diastolic blood pressure, mean arterial blood pressure, stroke volume, or total peripheral resistance reactivity with amygdala or hippocampus volumes were apparent. Comparison analyses examining insula volume found no significant associations. Some indicators of greater stressor‐evoked cardiovascular reactivity associate with reduced amygdala and hippocampus gray matter volume, but the mechanisms of this association warrant further study.
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval

We study the fundamental tradeoffs between statistical accuracy and computational tractability in the analysis of high dimensional heterogeneous data. As examples, we study sparse Gaussian mixture model, mixture of sparse linear regressions, and sparse phase retrieval model. For these models, we exploit an oracle-based computational model to establish conjecture-free computationally feasible minimax lower bounds, which quantify the minimum signal strength required for the existence of any algorithm that is both computationally tractable and statistically accurate. Our analysis shows that there exist significant gaps between computationally feasible minimax risks and classical ones. These gaps quantify the statistical price we must pay to achieve computational tractability in the presence of data heterogeneity. Our results cover the problems of detection, estimation, support recovery, and clustering, and moreover, resolve several conjectures of Azizyan et al. (2013, 2015); Verzelen and Arias-Castro (2017); Cai et al. (2016). Interestingly, our results reveal a new but counter-intuitive phenomenon in heterogeneous data analysis that more data might lead to less computation complexity.
The effects of medicinal plants on muscarinic receptors in various types of smooth muscle

Pharmacological agents that can affect muscarinic receptors are commonly used to treat or manage various diseases. Medicinal plants have been used from ancient time to treat cardiovascular, gastrointestinal, respiratory, and urogenital disorders, which may related to their muscarinic receptors effects. Several pharmacological studies revealed the inhibitory or stimulatory effect of some herbal plants on muscarinic receptors.
Enterocolitis due to immune checkpoint inhibitors: a systematic review

Immune checkpoint inhibitors targeting cytotoxic T-lymphocyte-associated protein-4 (CTLA-4) and programmed death-1 (PD-1)/ligand are increasingly used to treat several types of cancer. These drugs enhance antitumour T-cell activity and therefore induce immune-related adverse effects (irAE), of which gastrointestinal (GI) irAE are among the most frequent and severe. This systematic literature review summarises the clinical manifestations, management and pathophysiology of GI irAE due to immune checkpoint inhibitors. GI irAE induced by anti-CTLA-4 are frequent, potentially severe and resemble IBD, whereas those induced by PD-1 blockade seem to be less frequent and clinically more diverse. Baseline symbiotic gut microbiota is associated with an enhanced antitumour response to immune checkpoint inhibitors and an increased susceptibility to developing enterocolitis, in patients treated with anti-CTLA-4. These findings open new perspectives for possible manipulation of the gut microbiota in order to better identify responders to immune checkpoint inhibitors and to increase their efficacy and safety.
LRMM: Learning to Recommend with Missing Modalities

Multimodal learning has shown promising performance in content-based recommendation due to the auxiliary user and item information of multiple modalities such as text and images. However, the problem of incomplete and missing modality is rarely explored and most existing methods fail in learning a recommendation model with missing or corrupted modalities. In this paper, we propose LRMM, a novel framework that mitigates not only the problem of missing modalities but also more generally the cold-start problem of recommender systems. We propose modality dropout (m-drop) and a multimodal sequential autoencoder (m-auto) to learn multimodal representations for complementing and imputing missing modalities. Extensive experiments on real-world Amazon data show that LRMM achieves state-of-the-art performance on rating prediction tasks. More importantly, LRMM is more robust to previous methods in alleviating data-sparsity and the cold-start problem.