Short communication: Leaf architecture of 35 species of Dipterocarpaceae cultivated in Forest Area with Special Purposes in Carita, Banten, Indonesia

MeinataA, Na’iem M, Adriyanti DT, Syahbudin A. 2021. Short communication: Leaf architecture of 35 species of Dipterocarpaceae cultivated in Forest Area with Special Purposes in Carita, Banten, Indonesia. Biodiversitas 22: 2952-2960. Dipterocarpaceae is a major commercial timber characterized by high unbranched bole, paired stipules, and winged fruit. The identification process in the family becomes problematic, in cases where the generative organ is absent. Therefore, a new approach needs to be established to address any misidentification leading to improper utilization. This study aims to determine the leaf architecture in 35 species of Dipterocarpaceae cultivated in Forest Area with Special Purposes (KHDTK) Carita, Banten, Indonesia. The ten leaf samples collected were the third and fourth leaves from terminal shoots of a single tree of each species. Subsequently, the data were observed and measured based on the 17 morphological characters. Each character was then scored and analyzed using multivariate analyses cluster to determine the relationship between species. Dipterocarpaceae generally has pinnate leaf category, geniculate petiole, and entire margin. Furthermore, the phenon line in the dendrogram is cut at 0.695 similarity level to establish meaningful interpretation. The 35 species observed were grouped into 4 major clusters. Small leaf group, inconsistent tertiary vein pattern group, symmetrical leaves with cordate base leaf group, and other groups that do not resemble mentioned characters. The key determination comprised 34 couplets with three characters repeated due to limited descriptors.

POS1409 AUTOMATED DETECTION OF SCLERODERMIFORM PATTERNS USING CAPILLARY.IO

Background:A nailfold capillaroscopy procedure is a non-invasive, low-cost, and well-established examination that can be used to diagnose several rheumatic autoimmune diseases and support the necessary follow-up of patients. While the clinical implications of the technique are known, a rigorous and in-depth examination of nailfold capillaries remains as one of the major challenges to produce new advances in research and diagnosis, due to practical limitations for analysing the whole nailfold area of each patient. The difference between the different patterns established by Maricq and Cutolo makes it possible to predict the evolution that the patient will present. We introduce Capillary.io, an automatic image reading system able to recognize capillaries in images obtained with any microscope, generate automatic measurements of each capillary and take advantage of this information to report capillary morphology and patterns.Objectives:to determine the ability to detect active and early scerodermiform patterns of Capillary.io.Methods:Forty-nine complete capillaroscopies, reported by expert capillaroscopists according to the different patterns manually (gold standard), were compared with the pattern detection capability of Capillary.io. A scoring system based on the algorithm of the Spanish Capillaroscopy Study Group (GREC) was performed and interpreted by capillary.io for the global interpretation of each of the capillaroscopies analyzed.Results:Overall, 37 of the 49 capillaroscopies reported agreed with the diagnosed pattern (75.51%). Separately, the early pattern presented a concordance of 77.27% and the active pattern of 74.07%. In reference to the findings detected by the Capillary.io system, the mean overall density was 5.01 capillaries/mm in the group with the active pattern compared to 6.46 capillaries/mm in the early pattern. The density of dilations and megacapillaries was 2.81/mm and 1.21/mm in the active pattern group versus 4.69/mm and 0.4/mm in the early pattern group. Global diameters were greater in the active pattern group with an apical mean of 37.3 μm compared to 28.5 μm in the early pattern subgroup.Conclusion:Capillary.io is a simple, easy-to-learn web system for interpreting capillaroscopic images of nail folds. It can be a very useful tool to standardize the interpretation of capillaroscopic images, not only individually for each capillary, but also jointly through the detection of different patterns.References:[1]Chen K, Wang J, Pang J, Cao Y, Xiong Y, Li X, et al. MMDetection: Open MMLab Detection Toolbox and Benchmark. arXiv preprint arXiv:190607155 2019;.[2]Cutolo M, Pizzorni C, Sulli A. Nailfold videocapillaroscopy assessment of microvascular damage in systemic sclerosis - Reply. The Journal of Rheumatology 2000 11;27:2722–2723.[3]Cutolo M, Trombetta AC, Melsens K, Pizzorni C, Sulli A, Ruaro B, et al. Automated assessment of absolute nailfold capillary number on videocapillaroscopic images: Proof of principle and validation in systemic sclerosis. Microcirculation 2018 May;25(4):e12447.[4]Smith V, Vanhaecke A, Herrick AL, Distler O, Guerra MG, Denton CP, et al. Fast track algorithm: How to differentiate a “scleroderma pattern” from a “non-scleroderma pattern”. Autoimmu- nity Reviews 2019 nov;18(11):102394.[5]Tavakol ME, Fatemi A, Karbalaie A, Emrani Z, Erlandsson BE. Nailfold Capillaroscopy in Rheumatic Diseases: Which Parameters Should Be Evaluated? BioMed Research International 2015;2015:1–17.Disclosure of Interests:Eduardo Ramos Shareholder of: Co-founder and shareholder of Capillary.io, Alfredo Guillén-Del-Castillo: None declared, Carmen Pilar Simeón-Aznar: None declared, Borja Gracia Tello Shareholder of: Co-founder and shareholder of Capillary.io, Vicent Fonollosa Pla: None declared, Albert Selva-O’Callaghan: None declared, Luis Sáez-Comet: None declared, Elena Martínez Robles: None declared, Juan José Rios: None declared, Gerard Espinosa: None declared, Jose Antonio Todolí Parra: None declared, Jose Luis Callejas-Rubio: None declared, Norberto Ortego: None declared, Begoña Marí-Alfonso: None declared, Mayka Freire: None declared, Patricia Fanlo: None declared

A photogrammetric and cephalometric evaluation of facial symmetry and smile in relation to attractiveness.

Introduction: Human find symmetrical face more attractive than are asymmetrical faces. The smile is one of the most important facial expressions and is essential in expressing friendliness, agreement, and appreciation. The aim of the present study was to evaluate the relationship between smile and symmetry in attributing to attractiveness. Materials & Method: The study was conducted in the Department Of Orthodontics and Dentofacial Orthopedics, on 150 samples. 150 good quality radiographs and photographs of the patients were obtained. The subjects were divided into three groups: Group I – Horizontal growth pattern Group II – Average growth pattern Group III – Vertical growth pattern. The frontal facial photograph and PA cephalometric radiograph were used to assess the facial symmetry. Posed smile photograph and Lateral cephalometric radiograph were used to assess the smile. Digimizer Image Analyzer (bvba software) were used for the analysis. The ratings were given by the expert panellist based on attractiveness Results: In the present study, Left facial symmetry parameters is marginally higher than right side in cephalometric analysis and converse for photographic analysis, right facial symmetry parameters is marginally higher than left side but this is not statistically significant. There are no statistically significant difference among the groups for smile -photographic parameters and lateral cephalometric smile parameters. There is statistically significant difference among the groups for Visual Analog Scale readings for attractiveness given by orthodontist, general dentist and layperson for frontal profile for the subjects of three study groups. Conclusion: The study revealed that in cephalometric analysis, left hemiface is wider than right hemiface while in photographic analysis, right hemiface is wider than left hemiface. Vertical grower shows maximum upper incisor exposure and upper and lower vermilion lip thickness. On the contrary full smile length was minimum in vertical grower. The most favored profile by VAS was horizontal growth pattern.

The Relationship between Abnormal Circadian Blood Pressure Rhythm and Risk of Readmission in Patients with Heart Failure with Preserved Ejection Fraction

Objective: Abnormal circadian blood pressure rhythm has been revealed to be associated with hypertensive targetorgan damage and cardiovascular events, but its association with readmission risk in patients with heart failure with preserved ejection fraction (HFpEF) remains unknown. We conducted a retrospective study to explore the relationship between circadian blood pressure rhythm and readmission risk in HFpEF patients.Methods: We retrospectively collected baseline and follow-up data on HFpEF patients who underwent ambulatory blood pressure monitoring (ABPM) from May 2015 to October 2019. Patient circadian blood pressure rhythms defined by ABPM were grouped as dipper, nondipper, or riser patterns. Univariate and multivariate linear regression analyses were performed to assess the association between circadian blood pressure rhythm and readmission risk.Results: A total of 122 patients were enrolled in this study. The mean age and ejection fraction were 69.87 years and61.44%, respectively, with mean the N-terminal pro-B-type natriuretic peptide (NT-proBNP) level being 1048.15 pg/mL.There were significant differences in the 24-hour systolic blood pressure (SBP), sleep SBP, and sleep diastolic blood pressure (DBP) among the three groups, where the 24-hour SBP, sleep SBP, and sleep DBP in the riser pattern group were markedly higher than in the dipper pattern group. Notably, serum NT-proBNP levels, the proportion of patients readmitted for heart failure and the mean number of admissions differed markedly among three groups. Instructively, multivariate linear regression analysis showed that the riser pattern was a significant and independent risk factor for increased serum NT-proBNP level (β = 929.16, 95% confidence interval 178.79–1679.53, P = 0.016). In multivariatelogistic regression analysis, the riser pattern was demonstrated to be a significant risk factor for readmission (odds ratio11.23, 95% confidence interval 2.01–62.67, P = 0.006) in HFpEF patients.Conclusion: The riser blood pressure pattern is a potential risk factor for elevated serum NT-proBNP level and readmissionin HFpEF patients.

Defining the Prevalence and Predictors of Restrictive and Obstructive Airway Pattern in a Non-Selected Malaysian Population

The incidence of chronic obstructive pulmonary disease (COPD) in Malaysia appear to be increasing. To date, there are no local studies describing restrictive and obstructive airflow limitation patterns using spirometry. We conducted a crosssectional study to determine the prevalence and predictors of airflow limitation symptoms by screening for COPD symptoms with the COPD Population Screener (COPD-PS) questionnaire and determined the airflow limitation using the new hand-held device, AirSmart®. We recruited 265 subjects. Eleven percent had restrictive pattern and 16% had obstructive pattern. Twenty percent of subjects had COPD-PS score of more than five. In the obstructive pattern group, 74% were active or ex-smokers (p=0.03, p<0.01), whilst those with restrictive pattern were more likely to be heavier with a body mass index (BMI) of more than 23 (OR 2.52, 95% CI: 1.02-5.62) (p<0.01). There was a negative correlation between forced vital capacity and BMI (r=-0.5813, p<0.001). We found a high prevalence restrictive pattern of airflow limitation using the new AirSmart® Spirometer. There appeared to be a large proportion of undiagnosed obstructive airway diseases and higher BMI could be the causes of limitation of airflow in our subjects.

Long Short-Term Memory Network-Based Normal Pattern Group for Fault Detection of Three-Shaft Marine Gas Turbine

Fault detection and diagnosis can improve safety and reliability of gas turbines. Current studies on gas turbine fault detection and diagnosis mainly focus on the case of abundant fault samples. However, fault data are rare or even unavailable for gas turbines, especially newly-run gas turbines. Aiming to realize fault detection with only normal data, this paper proposes the concept of normal pattern group. A group of long-short term memory (LSTM) networks are first used for characterizing the mapping relationships among measurable parameters of healthy three-shaft gas turbines. Experiments show that the proposed method can detect all 13 common gas path faults of three-shaft gas turbines sensitively while remaining low false alarm rate. Comparison experiment with single normal pattern model verifies the necessaries and superiorities of using normal pattern group. Meanwhile, comparison between LSTM network and other methods including support vector regression, single-layer feedforward neural network, extreme learning machine and Elman recurrent neural network verifies the superiorities of LSTM network in fault detection. Furthermore, comparison experiment with four common one-class classifiers further verifies the superiorities of the proposed method. This also indicates the superiorities of data-driven methods and gas turbine principle fusion to some extent.

Compressive Capacity of Triangular Screw Piles Group Embedded in Soft Clay

Screw piles are used in different projects such as underpinning, lateral support of retaining wall, foundation of tower and under pipeline. In recent years, the use of screw piles became wide in all world as a result of low cost, ease of installation and need simple machines to construct. A laboratory study of triangle pattern of screw piles group embedded in soft clay and extended to sand soil layer is carried out. Different parameters are investigated such as spacing between piles, number of helix plates and slenderness ratios L/ D. The results of this study showed that the efficiency of screw piles group increases when group extended to sandy layer. Also, a study showed that the compressive capacity of triangular pattern group decreases with increase spacing between piles for group of single and double helix plates. The percent’s of reduction are (61, 22, 15) % and (56, 25, 29) % for single and double helix group respectively

Efficacy of Intravitreal Dexamethasone Implant in Different Patterns of Diabetic Macular Edema

Purpose: Different patterns of diabetic macular edema (DME) suggest different pathogenesis and drug response. We evaluated the outcomes after intravitreal dexamethasone (DEX) implant for DME with or without serous retinal detachment (SRD). Methods: In this retrospective study, 22 naïve patients (23 eyes) with DME who underwent a single DEX implant were evaluated. Based on the optical coherence tomographic pattern of DME, 12 eyes had a cystoid macular edema pattern (Group 1) and 11 eyes had an SRD pattern (Group 2). The best-corrected visual acuity (BCVA), central retinal thickness (СRТ), central retinal volume (CRV), SRD height (SRDh), and intraocular pressure (IOP) were recorded before and at two and four months after the treatment. Results: There were no significant differences between the groups regarding demographic, clinical data and outcomes at baseline. In Group 1, the CRT and CRV significantly decreased at two months (P = 0.002 and P = 0.01, respectively), while the BCVA significantly improved at four months (P = 0.03). In Group 2, the CRT and CRV significantly improved (P < 0.01 and P ≤ 0.01, respectively) during the follow-up period. At four months, both groups showed a recurrence of DME, Group 1 in particular (two-month CRT reduction, –149 ± 127 μm vs four-month CRT reduction, –72 ± 174 μm; P = 0.04). The mean reduction in CRV was significantly different at four months (Group 1, –0.49 ± 1.7 mm3 vs Group 2, –1.3 ± 1.3 mm3; P = 0.04). In Group 2, the SRDh significantly decreased at two (P = 0.01) and four months (P = 0.01). Four cases with elevated IOP were managed. Conclusion: DEX implants were found to be effective in different patterns of DME. The SRD pattern may predict a longer-lasting morphologic efficacy.

The Gold Standard of Thyroid Nodule Examination? Prospective Validation of the ACR TI-RADS in a Secondary Referral Center

The aim of this prospective study was the validation of the risk stratification of thyroid nodules using ultrasonography with the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) and partly in comparison to American Thyroid Association (ATA) guidelines in a secondary referral center. Fine needle aspiration biopsy (FNA) (n=605) and histological examinations (n=63) were the reference standards for the statistical analysis. ACR TI-RADS cut-off value: TR4 with sensitivity 85.7 %, specificity 54.1 %, PPV 58.5 %, accuracy 67.7 % (AUC 0.738; p<0.001). ATA cut-off value: “high suspicion” with sensitivity 80 %, specificity 83.3 %, PPV 80 %, accuracy 81.8 % (AUC 0.800; p=0.0025). 18.4 % nodules (3 malignant) could not be assigned to a proper ATA US pattern group (p<0.0001). Both ACR TI-RADS and ATA have allowed fair selection of nodules requiring FNA with superiority of ACR TI-RADS according to classification of all thyroid nodules to the proper group. According to ACR TI-RADS almost one third of the patients were incorrectly classified with 17.9 % missed thyroid carcinomas, exclusively micropapillary carcinomas, even though, the amount of FNA would be reduced to 48 %.