Aplikasi Teknologi Budidaya Kelengkeng Super Sleman Di Padukuhan Gejayan

Longan (Dimocarpus longan L.) is not an indigenous fruit from Indonesia. Thus, the demands for this fruit were supplied by importing them from nearby countries such as Vietnam, Thailand, and China. Longan has been cultivated and developed in Indonesia in order to supply the local needs and to reduce the rapid flows of importing Longan. Recently, a brand new breed of local Longan has been engineered from Sleman District of D.I.Yogyakarta Province, known as Kelengkeng Super Sleman (KSS). The KSS well adapted to medium-high above sea level- terrain, the most typical terrain in Sleman. Some prosperous features of this Longan cultivar were had a short harvesting time (2 years), thicky flesh, low water content, and able to be induced twice per year for flowering (to produce fruits). All of this goodness thus been introduced to rural communities of Padukuhan Gejayan, Desa Condongcatur, Depok, Sleman, D.I.Yogyakarta by a well designed community service programme. The kind of activites that was going on in this programme were workshop, training, and assistance. Workshop was emphasized on the prospectous consequences of planting Longan trees (KSS) for a long term until could be developed into local industrial product (One Village One Product/OVOP concept), basic knowledge on Longan diversity, KSS cultivation technology, basic knowledge on plant physiology, environmental development based on Education for Sustainable Development (EfSD), and potential local market for KSS. Training was mainly focused on KSS seedling production by both apical stem grafting method and medium preparation method, KSS plantation in some villager houses for a pilot project on how to maintain KSS such as health evaluation, health recovery for infested or unhealthy plant, method on lateral branching development, method on hormone-induced flowering, and application of resting period for after-harvesting plant. Assistance has been actively conducted during training to motivates villager to be get involved. Some positive indicators for implementation of this programme are both the great enthusiasm on KSS Longan plantation in communities and “the shifting paradigm” on KSS Longan maintenance for which has been long considered to be both impractical and arduous

1825P Prevalence of cancer among e-cigarette smokers compared to non-smokers: A retrospective cross-sectional survey study of NHANES-CDC

Background: Current e-cigarette use has been rising, assuming as a safe alternative to traditional smoking. Therefore, we aim to evaluate the prevalence of cancer and types of cancers amongst e-cigarette and traditional smokers. Methods: A retrospective cross-sectional survey study was performed using NHANES (National Health And Nutrition Examination Survey) database from 2015 to 2018. History of cancer (MCQ220), type of cancers (MCQ230a), and smoking status (E-cigarette: SMQ900 or SMQ905 and Traditional smoking: SMQ020) were identified. Univariate and multivariable logistic regression analysis was performed to find out prevalence and association between e-cigarette smoking and cancer. We have excluded respondents with dual smoking. Results: Out of 154,856 participants, 7756 (5.01%) were e-cigarette users, 48625 (31.4%) were traditional smokers, 98475 (63.59%) were non-smokers. Females (49 vs 38%), Mexican Americans (20 vs 13%), high annual household income (\u3e$100,000: 23 vs 15%) were having a higher prevalence of e-cigarette smoking in comparison with traditional smoking. (p\u3c0.0001) Prevalence of cancer (any type) was 11.61%. Cancer prevalence was higher amongst traditional smokers in comparison with e-cigarette smokers. (16.77 vs 2.32%; p\u3c0.0001) E-cigarette smokers were younger at the diagnosis of 1st cancer in comparison with traditional smokers. (median: 45 vs 63-years; p\u3c0.0001) Cervical (21.99 vs 2.01%), thyroid (10.64 vs 2.45%), leukemias (8.51 vs 1.08%), and breast (12.06 vs 12.01%) cancers were more prevalent amongst e-cigarette smokers in comparison to traditional smokers. (p\u3c0.0001) In adjusted multivariable regression analysis, e-cigarette smokers [aOR: 1.3 (95%CI: 1.32-1.33); p\u3c0.0001] and traditional smokers [1.6 (1.64-1.65); p\u3c0.0001] were having higher odds of prevalence of cancer in comparison with non-smoker. Conclusions: E-cigarette smokers had an early age of cancer onset and higher odds of cancer prevalence. Females had higher use of e-cigarette and cervical, thyroid, and breast cancers were prevalent amongst e-cigarette users. More prospective studies should be planned to mitigate the risk and before considering e-cigarette as a safe alternative to traditional smoking

Uso de marcadores moleculares para seleção e introdução de novos acessos de moringa.

A Moringa oleifera Lam., pertence à família Moringaceae e foi introduzida no Brasil como planta ornamental por volta de 1950. Atualmente é amplamente cultivada por sua característica de espécie multiuso. O objetivo do presente trabalho foi avaliar a diversidade genética de moringa, oriundas de sementes, para introdução de acessos no Banco Ativo de Germoplasma, implantado pela Embrapa Tabuleiros Costeiros. Foram testados sete primers ISSR, que resultaram em 32 fragmentos polimórficos (100%). A distância genética entre os indivíduos será utilizada para seleção dos que serão inseridos no BAG moringa

Genotype-phenotype correlation and description of two novel mutations in Iranian patients with glycogen storage disease 1b (GSD1b)

Background: Glycogen storage disease (GSD) is a rare inborn error of the synthesis or degradation of glycogen metabolism. GSD1, the most common type of GSD, is categorized into GSD1a and GSD1b which caused by the deficiency of glucose-6-phosphatase (G6PC) and glucose-6-phosphate transporter (SLC37A4), respectively. The high rates of consanguineous marriages in Iran provide a desirable context to facilitate finding the homozygous pathogenic mutations. This study designates to evaluate the clinical and genetic characteristics of patients with GSD1b to assess the possible genotype-phenotype correlation. Results: Autozygosity mapping was performed on nineteen GSD suspected families to suggest the causative loci. The mapping was done using two panels of short tandem repeat (STR) markers linked to the corresponding genes. The patients with autozygous haplotype block for the markers flanking the genes were selected for direct sequencing. Six patients showed autozygosity in the candidate markers for SLC37A4. Three causative variants were detected. The recurrent mutation of c.10421043delCT (p.Leu348Valfs*53) and a novel missense mutation of c.365G > A (p.G122E) in the homozygous state were identified in the SLC37A4. In silico analysis was performed to predict the pathogenicity of the variants. A novel whole SLC37A4 gene deletion using long-range PCR and sequencing was confirmed as well. Severe and moderate neutropenia was observed in patients with frameshift and missense variants, respectively. The sibling with the whole gene deletion has shown both severe neutropenia and leukopenia. Conclusions: The results showed that the hematological findings may have an appropriate correlation with the genotype findings. However, for a definite genotype-phenotype correlation, specifically for the clinical and biochemical phenotype, further studies with larger sample sizes are needed. © 2020 The Author(s)

Type 1 diabetes genetic risk score discriminates between monogenic and Type 1 diabetes in children diagnosed at the age of < 5 years in the Iranian population

This is the final version. Available on open access from Wiley via the DOI in this recordAim To examine the extent to which discriminatory testing using antibodies and Type 1 diabetes genetic risk score, validated in European populations, is applicable in a non‐European population. Methods We recruited 127 unrelated children with diabetes diagnosed between 9 months and 5 years from two centres in Iran. All children underwent targeted next‐generation sequencing of 35 monogenic diabetes genes. We measured three islet autoantibodies (islet antigen 2, glutamic acid decarboxylase and zinc transporter 8) and generated a Type 1 diabetes genetic risk score in all children. Results We identified six children with monogenic diabetes, including four novel mutations: homozygous mutations in WFS1 (n=3), SLC19A2 and SLC29A3, and a heterozygous mutation in GCK. All clinical features were similar in children with monogenic diabetes (n=6) and in the rest of the cohort (n=121). The Type 1 diabetes genetic risk score discriminated children with monogenic from Type 1 diabetes [area under the receiver‐operating characteristic curve 0.90 (95% CI 0.83–0.97)]. All children with monogenic diabetes were autoantibody‐negative. In children with no mutation, 59 were positive to glutamic acid decarboxylase, 39 to islet antigen 2 and 31 to zinc transporter 8. Measuring zinc transporter 8 increased the number of autoantibody‐positive individuals by eight. Conclusions The present study provides the first evidence that Type 1 diabetes genetic risk score can be used to distinguish monogenic from Type 1 diabetes in an Iranian population with a large number of consanguineous unions. This test can be used to identify children with a higher probability of having monogenic diabetes who could then undergo genetic testing. Identification of these individuals would reduce the cost of treatment and improve the management of their clinical course.Wellcome TrustDiabetes U

Maintenance care for treated periodontitis patients

This paper is a review of current literature combined with clinical observations. Well-controlled maintenance care is a key consideration in the long-term prognosis of treated periodontitis patients. Periodic professional tooth cleaning every 3 to 4 months often is recommended. Furthermore, recent studies indicate a potential need for selected retreatment in problem areas, since minute residual accretions may be left behind during active therapy - even with “open” surgery. While efficient plaque control is essential for optimal results during the healing phase of periodontal therapy, periodic prophylaxis may prevent loss of clinical attachment over long periods of time even for patients with less than perfect oral hygiene.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72615/1/j.1600-051X.1987.tb02247.x.pd

Scaling and root planing with and without periodontal flap surgery

. Complete removal of calculus is a primary part of achieving a “biologically acceptable” tooth surface in the treatment of periodontitis. Rabbani et al. reported that a single episode of scaling did not completely remove subgingival calculus and that the deeper the periodontal pocket, the less complete the calculus removal. The purpose of the present study was to evaluate the effectiveness of scaling relative to calculus removal following reflection of a periodontal flap. Each of 21 patients who required multiple extractions had 2 teeth scaled, 2 teeth scaled following the reflection of a periodontal flap, and 2 teeth serve as controls. Local anesthesia was used. Following extraction, the % of subgingival tooth surfaces free of calculus was determined using the method described by Rabbani with a stereomicroscope. Results showed that while scaling only (SO) and scaling with a flap (SF) increased the % of root surface without calculus, scaling following the reflection of a flap aided calculus removal in pockets 4 mm and deeper. Comparison of SO versus SF at various pocket depths for % of tooth surfaces completely free of calculus showed 1 to 3 mm pockets to be 86% versus 86%, 4 to 6 mm pockets to be 43% versus 76% and >6 mm pockets to be 32% versus 50%. The extent of residual calculus was directly related to pocket depth, was greater following scaling only, and was greatest at the CEJ or in association with grooves, fossae or furcations. No differences were noted between anterior and posterior teeth or between different tooth surfaces.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73823/1/j.1600-051X.1986.tb01461.x.pd

A mitochondria-targeted mass spectrometry probe to detect glyoxals: implications for diabetes

The glycation of protein and nucleic acids that occurs as a consequence of hyperglycaemia disrupts cell function and contributes to many pathologies, including those associated with diabetes and aging. Intracellular glycation occurs following the generation of the reactive 1,2-dicarbonyls methylglyoxal and glyoxal and disruption to mitochondrial function is associated with hyperglycemia. However, the contribution of these reactive dicarbonyls to mitochondrial damage in pathology is unclear due to uncertainties about their levels within mitochondria in cells and in vivo. To address this we have developed a mitochondria-targeted reagent (MitoG) designed to assess the levels of mitochondrial dicarbonyls within cells. MitoG comprises a lipophilic triphenylphosphonium cationic function, which directs the molecules to mitochondria within cells and an o-phenylenediamine moiety that reacts with dicarbonyls to give distinctive and stable products. The extent of accumulation of these diagnostic heterocyclic products can be readily and sensitively quantified by liquid chromatography-tandem mass spectrometry (LC-MS/MS), enabling changes to be determined. Using the MitoG-based analysis we assessed the formation of methylglyoxal and glyoxal in response to hyperglycaemia in cells in culture and in the Akita mouse model of diabetes in vivo. These findings indicated that the levels of methylglyoxal and glyoxal within mitochondria increase during hyperglycaemia in both cells and in vivo, suggesting that they can contribute to the pathological mitochondrial dysfunction that occurs in diabetes and aging

A self-adaptive segmentation method for a point cloud

The segmentation of a point cloud is one of the key technologies for three-dimensional reconstruction, and the segmentation from three-dimensional views can facilitate reverse engineering. In this paper, we propose a self-adaptive segmentation algorithm, which can address challenges related to the region-growing algorithm, such as inconsistent or excessive segmentation. Our algorithm consists of two main steps: automatic selection of seed points according to extracted features and segmentation of the points using an improved region-growing algorithm. The benefits of our approach are the ability to select seed points without user intervention and the reduction of the influence of noise. We demonstrate the robustness and effectiveness of our algorithm on different point cloud models and the results show that the segmentation accuracy rate achieves 96%