Klitcheng9696

Because of the high dimensionality of neuroimaging data, identifying a statistical test that is both valid and maximally sensitive is an important challenge. Here, we present a combination of two approaches for functional magnetic resonance imaging (fMRI) data analysis that together result in substantial improvements of the sensitivity of cluster-based statistics. The first approach is to create novel cluster definitions that optimize sensitivity to plausible effect patterns. The second is to adopt a new approach to combine test statistics with different sensitivity profiles, which we call the min(p) method. These innovations are made possible by using the randomization inference framework. In this article, we report on a set of simulations and analyses of real task fMRI data that demonstrate (a) that the proposed methods control the false-alarm rate, (b) that the sensitivity profiles of cluster-based test statistics vary depending on the cluster defining thresholds and cluster definitions, and (c) that the min(p) method for combining these test statistics results in a drastic increase of sensitivity (up to fivefold), compared to existing fMRI analysis methods. This increase in sensitivity is not at the expense of the spatial specificity of the inference.

After diagnosis, caregivers of children with cancer, particularly mothers or primary caregivers (PCs), often show elevated depressive symptoms which may negatively impact family functioning. We tested PC and secondary caregiver (SC) depressive symptoms as predictors of family, co-parenting, and marital functioning and whether having a non-depressed SC buffers against potential negative effects of PC depressive symptoms.

Families (N=137) were recruited from two major children's hospitals following a diagnosis of pediatric cancer. Caregivers completed self-report measures of depressive symptoms (Center for Epidemiological Studies-Depression Scale; Depression, Anxiety, and Stress Scale) and marital functioning (Dyadic Adjustment Scale) at 1-month post-diagnosis. A subset of families (n=75) completed videotaped interaction tasks at approximately 3-months post-diagnosis that were coded for family and co-parenting interactions.

Higher PC depressive symptoms at 1-month post-diagnosis was associated with higherctive role for families of children with cancer.Cosmetic dermatology preparations such as bleaching agents are ingredients with skin-related biological activities for increasing and improving skin beauty. The possibility of controlling skin hyperpigmentation disorders is one of the most important research goals in cosmetic preparations. Recently, cosmetics containing herbal and botanical ingredients have attracted many interests for consumers of cosmetic products because these preparations are found safer than other preparations with synthetic components. However, high-quality trial studies in larger samples are needed to confirm safety and clinical efficacy of phytotherapeutic agents with high therapeutic index. Arbutin (p-hydroxyphenyl-β-d-glucopyranoside) is a bioactive hydrophilic polyphenol with two isomers including alpha-arbutin (4-hydroxyphenyl-α-glucopyranoside) and β-arbutin (4-hydroxyphenyl-β-glucopyranoside). It is used as a medicinal plant in phytopharmacy. Studies have shown that alpha-arbutin is 10 times more effective than natural arbutin. A comparison of IC50 values showed that α-arbutin (with concentration 2.0 mM) has a more potent inhibitory activity on human tyrosinase against natural arbutin (with higher concentration than 30 mM). A review of recent studies showed that arbutin could be beneficial in treatment of various diseases such as hyperpigmentation disorders, types of cancers, central nervous system disorders, osteoporosis, diabetes, etc. This study was designed to describe the therapeutic efficiencies of arbutin.Cucurbitacin IIa was first found in plants and it belongs to tetracyclo triterpenoids. It is one of the most important active components in cucurbitaceae plants. Studies have found that cucurbitacin IIa has a variety of pharmacological effects, such as antitumor, antiinflammatory, antibacterial, antihepatitis B virus, inhibition of human immunodeficiency virus replication, and antidepressant effect. However, the underlying mechanisms, intracellular targets, and structure-activity relationships of cucurbitacin IIa remain to be completely elucidated. This review summarizes the current advances concerning the phytochemistry and pharmacology of cucurbitacin IIa. Electronic databases such as PubMed, Web of Science, Google Scholar, Science Direct, and CNKI were used to find relevant information about cucurbitacin IIa using keywords such as "Cucurbitacin IIa," "Pharmacology," and "Phytochemistry." These pharmacological effects involve the actin cytoskeleton aggregation, the regulation of JAK2/STAT3, ERBB-MAPK, CaMKII α/CREB/BDNF signal pathways, as well as the regulation of survivin, caspases, and other cell cycles, apoptosis, autophagy-related cytokines, and kinases. It has high development and use value.Gastrointestinal discomfort (GD), which often includes gastroesophageal reflux disease (GERD), is a common disorder in healthy adults affecting 40% of the worldwide population. The symptoms related to GD can have a negative impact on the quality of life (QoL). Current treatments for GERD are associated with side effects. We conducted a randomized double-blind placebo-controlled trial to assess the effect of a standardized extract of Opuntia ficus-indica L. cladodes and Olea europaea L. leaves on the symptoms and QoL of healthy adults with GD. One hundred healthy participants with GD were enrolled in the study and divided into two groups 60 participants taking verum (400 mg/day) and 40 taking the placebo for 8 weeks. The Gastrointestinal Quality of Life index (GIQLI) and GERD Symptom Assessment Scale (GSAS) questionnaires were administered at the beginning of the study and after 4 and 8 weeks. The group treated with verum experienced a statistically significant improvement of GIQLI and GSAS scores (p  less then  .001). Moreover, the effect size measured revealed a clinical significance. A day-dependent improvement of symptoms was also observed. The standardized extract represents a fast, effective, and well-tolerated treatment for improving symptoms related to GD and GERD.

Data regarding the prevalence of depression and anxiety among cancer patients, especially before cancer diagnosis, remains scarce. This study investigated the prevalence of these conditions and associated drug use among cancer patients pre- and post-diagnosis.

This population-based cohort study using data from Taiwan's National Health Insurance Research Database recruited patients with a registered cancer diagnosis and matched control between January 1, 2000, and December 31, 2011. We compared the prevalence of anxiety and depressive disorders between cancer patients and non-cancer participants during a 2-year period both pre- and post-diagnosis by Pearson's chi-square test. Psychiatric medication use was also examined for the associated mental condition.

We examined participants diagnosed with liver (N=17,154), colorectal (N=30,391), breast (N=40,036), gynecological (N=23,218), and lung (N=15,671) cancer. Before the cancer diagnosis, the prevalence of depression was higher in non-cancer participants thosis, which highlights the importance of the care for both mental and physical conditions in cancer management.Erycibes are members of the Convolvulaceae family, including more than 10 species worldwide that are distributed in tropical Asia. Some Erycibes species have long been used as traditional remedies for rheumatoid arthritis, fever, hepatitis, and liver injury in China and Thailand. A total of 152 compounds from Erycibes plants have been isolated and identified, categorized as flavonoids, coumarins, quinic acid derivatives, lignans, and alkaloids. https://www.selleckchem.com/products/l-dehydroascorbic-acid.html Coumarins are the characteristic and active constituents of this species, including scopoletin and scopolin. Modern pharmacological studies have shown that the extracts and bioactive components of Erycibes plants exhibit several biological activities, including antiinflammatory, analgesic, hepatoprotective, anti-gout, antitumor, antioxidation, and other therapeutic effects. However, in recent years, due to destructive exploitation and utilization, some Erycibes plants' natural resources have become rare or endangered. Developing substitutes is a strategy to alleviate the pressure on those endangered medicinal plant resources. To provide a scientific basis for the development and protection of those threatened Erycibes species, this review summarized the current status of the chemical compositions, pharmacological activities, quality control studies, and the development of substitutes for Erycibes plants. In particular, the rationale for use of Porana sinensis currently on the market is discussed.

What is the central question of this study? In adult rat hearts, exposure to hypobaric hypoxia increases tolerance to hypoxia-reoxygenation, termed endogenous cardioprotection. The mechanism involves the nitric oxide system and modulation of mitochondrial oxygen consumption. What is the cardiac energetic response in prepubertal rats exposed to hypobaric hypoxia? What is the main finding and its importance? Prepubertal rats, unlike adult rats, did not increase tolerance to hypoxia-reoxygenation in response acute exposure to hypobaric hypoxia, which impaired cardiac contractile economy. This finding could be related to a failure to increase nitric oxide synthase expression, hence modulation of mitochondrial oxygen consumption and ATP production.

Studies in our laboratory showed that exposure of rats to hypobaric hypoxia (HH) increased the tolerance of the heart to hypoxia-reoxygenation (H/R), involving mitochondrial and cytosolic nitric oxide synthase (NOS) systems. The objective of the present study was toetabolic pathway, without modification of mitochondrial ATP production and O2 consumption. In this scenario, the treatment was unable to increase tolerance to H/R as observed in adult animals.Deep learning methods hold strong promise for identifying biomarkers for clinical application. However, current approaches for psychiatric classification or prediction do not allow direct interpretation of original features. In the present study, we introduce a sparse deep neural network (DNN) approach to identify sparse and interpretable features for schizophrenia (SZ) case-control classification. An L0 -norm regularization is implemented on the input layer of the network for sparse feature selection, which can later be interpreted based on importance weights. We applied the proposed approach on a large multi-study cohort with gray matter volume (GMV) and single nucleotide polymorphism (SNP) data for SZ classification. A total of 634 individuals served as training samples, and the classification model was evaluated for generalizability on three independent datasets of different scanning protocols (N = 394, 255, and 160, respectively). We examined the classification power of pure GMV features, as well as combined GMV and SNP features. Empirical experiments demonstrated that sparse DNN slightly outperformed independent component analysis + support vector machine (ICA + SVM) framework, and more effectively fused GMV and SNP features for SZ discrimination, with an average error rate of 28.98% on external data. The importance weights suggested that the DNN model prioritized to select frontal and superior temporal gyrus for SZ classification with high sparsity, with parietal regions further included with lower sparsity, echoing previous literature. The results validate the application of the proposed approach to SZ classification, and promise extended utility on other data modalities and traits which ultimately may result in clinically useful tools.