Properties of resin impregnated oil palm wood (Elaeis Guineensis Jack)

Oil palm wood (OPW) was treated with medium-molecular weight PF resin (mmw-PF) through a modified impregnation-compression method. The method consists of four steps, namely, drying, impregnation, heating, and hot pressing densification. The objective of the study was to optimize the impregnation variables. The overall density of the OPW increased, whereas the density gradient between the two OPW structural elements (namely, parenchyma tissues and vascular bundles) decreased. The weight percent gain (WPG) significantly increased even with a very short impregnation period (i.e. 1 hour). Young`s Modulus of the compression parallel to the grain increased by 15 times (from 170 to 2600 MPa) and the shear strength increased by 7 times (from 1.9 to 13 MPa). The strength of the samples was increased exponentially against density increment. The treatment also made the two OPW structural elements to be strongly bonded that helped in enhancing the durability and machining characteristics of the material

Histonedeacetylase 1 mRNA has elevated expression in clinical specimen of bladder cancer

OBJECTIVE: HDACs are among transcriptional regulatory elements that regulate key features of proliferation and differentiation in all cell types including cancerous. They may also interfere in such stages of cancer development as migration, invasion, multi-drug resistance and angiogenesis. Proven information about HDAC1 role in development of bladder cancer is limited only to cell lines in vitro. The lack of a comprehensive clinical in vivo study led us to evaluate HDAC1 expression in human clinical specimens. METHODS: We analyzed a large group of bladder cancer patients. The presence of hHDAC1 mRNAs were tracked using specific HDAC1 primers in cancer samples and the quantity of HDAC1 transcripts were quantified using real time qPCR method and was compared to those of normal bladder samples from healthy patients. RESULTS: HDAC1 mRNA expression was significantly elevated in Bladder cancer specimens. To our knowledge, this result is the first, showing an elevation in vivo in HDAC1 mRNA levels in clinically cancerous tissue of patients with bladder cancer. CONCLUSIONS: We conclude that hHDAC1 overexpression might be implicated in bladder cancer tumorigenesis and that the over-expressed HDAC1 mRNA might be a potential diagnostic marker and, a target for treatment of bladder cancer using HDACi-drugs in future

Histonedeacetylase 1 mRNA has elevated expression in clinical specimen of bladder cancer

OBJECTIVE: HDACs are among transcriptional regulatory elements that regulate key features of proliferation and differentiation in all cell types including cancerous. They may also interfere in such stages of cancer development as migration, invasion, multi-drug resistance and angiogenesis. Proven information about HDAC1 role in development of bladder cancer is limited only to cell lines in vitro. The lack of a comprehensive clinical in vivo study led us to evaluate HDAC1 expression in human clinical specimens. METHODS: We analyzed a large group of bladder cancer patients. The presence of hHDAC1 mRNAs were tracked using specific HDAC1 primers in cancer samples and the quantity of HDAC1 transcripts were quantified using real time qPCR method and was compared to those of normal bladder samples from healthy patients. RESULTS: HDAC1 mRNA expression was significantly elevated in Bladder cancer specimens. To our knowledge, this result is the first, showing an elevation in vivo in HDAC1 mRNA levels in clinically cancerous tissue of patients with bladder cancer. CONCLUSIONS: We conclude that hHDAC1 overexpression might be implicated in bladder cancer tumorigenesis and that the over-expressed HDAC1 mRNA might be a potential diagnostic marker and, a target for treatment of bladder cancer using HDACi-drugs in future

Relationship of Genotype, Phenotype, and Treatment in Dopa-Responsive Dystonia: MDSGene Review

Background Pathogenic variants in 5 genes (GCH1, TH, PTS, SPR, and QDPR), involved in dopamine/tetrahydrobiopterin biosynthesis or recycling, have been linked to Dopa-responsive dystonia (DRD). Diagnosis and treatment are often delayed due to high between- and within-group variability. Objectives Comprehensively analyzed individual genotype, phenotype, treatment response, and biochemistry information. Methods 734 DRD patients and 151 asymptomatic GCH1 mutation carriers were included using an MDSGene systematic literature review and an automated classification approach to distinguish between different forms of monogenic DRDs. Results Whereas dystonia, L-Dopa responsiveness, early age at onset, and diurnal fluctuations were identified as red flags, parkinsonism without dystonia was rarely reported (11%) and combined with dystonia in only 18% of patients. While sex was equally distributed in autosomal recessive DRD, there was female predominance in autosomal dominant DYT/PARK-GCH1 patients accompanied by a lower median age at onset and more dystonia in females compared to males. Accordingly, the majority of asymptomatic heterozygous GCH1 mutation carriers (>8 years of age) were males. Multiple other subgroup-specific characteristics were identified, showing high accuracy in the automated classification approach: Seizures and microcephaly were mostly seen in DYT/PARK-PTS, autonomic symptoms appeared commonly in DYT/PARK-TH and DYT/PARK-PTS, and sleep disorders and oculogyric crises in DYT/PARK-SPR. Biochemically, homovanillic acid and 5-hydroxyindoleacetic acid in CSF were reduced in most DRDs, but neopterin and biopterin were increased only in DYT/PARK-PTS and DYT/PARK-SPR. Hyperphenylalaninemia was seen in DYT/PARK-PTS, DYT/PARK-QDPR, and rarely reported in autosomal recessive DYT/PARK-GCH1. Conclusions Our indicators will help to specify diagnosis and accelerate start of treatment. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Societ

A Self-Reference False Memory Effect in the DRM Paradigm: Evidence from Eastern and Western Samples

It is well established that processing information in relation to oneself (i.e., selfreferencing) leads to better memory for that information than processing that same information in relation to others (i.e., other-referencing). However, it is unknown whether self-referencing also leads to more false memories than other-referencing. In the current two experiments with European and East Asian samples, we presented participants the Deese-Roediger/McDermott (DRM) lists together with their own name or other people’s name (i.e., “Trump” in Experiment 1 and “Li Ming” in Experiment 2). We found consistent results across the two experiments; that is, in the self-reference condition, participants had higher true and false memory rates compared to those in the other-reference condition. Moreover, we found that selfreferencing did not exhibit superior mnemonic advantage in terms of net accuracy compared to other-referencing and neutral conditions. These findings are discussed in terms of theoretical frameworks such as spreading activation theories and the fuzzytrace theory. We propose that our results reflect the adaptive nature of memory in the sense that cognitive processes that increase mnemonic efficiency may also increase susceptibility to associative false memories

A wavelet optimization approach for ECG signal classification

Wavelets have proved particularly effective for extracting discriminative features in ECG signal classification. In this paper, we show that wavelet performances in terms of classification accuracy can be pushed further by customizing them for the considered classification task. A novel approach for generating the wavelet that best represents the ECG beats in terms of discrimination capability is proposed. It makes use of the polyphase representation of the wavelet filter bank and formulates the design problem within a particle swarm optimization (PSO) framework. Experimental results conducted on the benchmark MIT/BIH arrhythmia database with the state-of-the-art support vector machine (SVM) classifier confirm the superiority in terms of classification accuracy and stability of the proposed method over standard wavelets (i.e., Daubechies and Symlet wavelets