bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conditioning two diffusion processes with respect to their first-encounter properties
Authors: Mazzolo Alain , Monthus Cécile 
Published: June 2022

Abstract
We consider two independent identical diffusion processes that annihilate upon meeting in order to study their conditioning with respect to their first-encounter properties. For the case of finite horizon T < +∞, the maximum conditioning consists in imposing the probability P*(x, y, T) that the two particles are surviving at positions x and y at time T, as well as the probability γ*(z, t) of annihilation at position z at the intermediate times t ∈ [0, T]. The adaptation to various conditioning constraints that are less-detailed than these full distributions is analyzed via the optimization of the appropriate relative entropy with respect to the unconditioned processes. For the case of infinite horizon T = +∞, the maximum conditioning consists in imposing the first-encounter probability γ*(z, t) at position z at all finite times

t
∈

0
,
+
∞

, whose normalization [1 − S*(∞)] determines the conditioned probability S*(∞) ∈ [0, 1] of forever-survival. This general framework is then applied to the explicit cases where the unconditioned processes are respectively two Brownian motions, two Ornstein–Uhlenbeck processes, or two tanh-drift processes, in order to generate stochastic trajectories satisfying various types of conditioning constraints. Finally, the link with the stochastic control theory is described via the optimization of the dynamical large deviations at level 2.5 in the presence of the conditioning constraints that one wishes to impose.
Life Cycle Cost Analysis of Local Rice Production in Bangka Regency, Indonesia
Authors: Supriyanto  , Solahudin Mohamad , Aprilia Dea 
Published: June 2022

Abstract
Rice is the main staple food for Indonesian people and produced in every Island in Indonesia. Rice production are consisting of several activities such as: cultivation by farmers, processed in milling factory, post-harvest, and selling to the customers. Cost calculation for overall production process are important for cost evaluation in every rice production. The aim of this research was to use life cycle cost analysis for rice production scenario for two cultivars (Mapan 05 and Inpari 32) in Bangka Regency, Indonesia. Life cycle cost scenario was used in this research was 240 scenarios with three main production scenario such as: production with mechanization, production with semi-mechanization, and production with manual (local technology). Rice Production stages was set as system boundary that consist of (1) land preparation, (2) cultivation, and (3) post-harvest to produce white rice. The result of this study was the lowest LCC was IDR 5,765.72 kg-1 and IDR 6,237.97 kg-1 for Mapan 05 and Inpari 32 cultivars.
Utilization of anaerobically digested dairy manure wastewater for Spirulina maxima cultivation
Authors: Rahman D Y , Hidhayati N , Apriastini M , Taufikurahman  
Published: June 2022

Abstract
Microalgae have attracted the attention of scientists as microalgae have been considered as having higher productivities than terrestrial plants. Microalgae can be used to produce several valuable commodities such as bioenergy, feed, and food. Combining the growth medium with wastewater can enhance the economic feasibility of microalgae-based products. In this research, Spirulina maxima were cultivated using bioslurry from anaerobically digested dairy manure wastewater (ADDMW) at concentrations 0, 50, and 100 %. The growth curve was monitored by measuring the dry weight of microalgae every three days. The results showed that the S. maxima growth in ADDMW showed no difference from S. maxima growth in Zarrouk medium (2.090 g L-1 and 1.933 g L-1, respectively). Phycocyanin, one of the primary pigments of S. maxima, was determined to evaluate the effect of wastewater medium on phycocyanin production. The phycocyanin content of S. maxima in 0, 50, and 100 % wastewater showed no difference (58.67, 56.51, and 54.67 mg L-1 culture, respectively). This study provides an insight into the potential use of ADDMW as a substitute of growth medium of S. maxima as it supported the growth and phycocyanin production, with the result similar to when using the commercial medium.
UV spectral analysis coupled with PCA-LDA to classify organic and conventional Lampung robusta coffee from different origins
Authors: Yulia M , Suhandy D 
Published: June 2022

Abstract
This current research presents a simple analytical method for classifying organic and conventional coffee samples from different origins. UV pre-processed spectral data in the range of 250-400 nm was used to discriminate between organic Lampung robusta coffee from Lampung Barat (n=50) and two conventional Lampung robusta coffees from Lampung Barat (n=50) and Tanggamus (n=50). Ground roasted coffee samples with 50 mesh were used for samples. UV-vis spectrometer was utilized to acquire UV spectral data from an aqueous coffee sample. A chemometric method based on PCA and PCA-LDA algorithm was used to classify the samples. The PCA result shows all organic coffee samples were clustered on the negative of PC1 while all conventional coffee samples were on the positive of PC1. The conventional coffee samples from Lampung Barat and Tanggamus were grouped in different clusters according to their origin. The PCA-LDA resulted in a 100% accuracy in classification both for calibration and prediction. This method is a promising approach for organic Lampung robusta authentication with a relatively low-cost spectrometer and simple sample preparation.
Using sentinel and comparing two classification algorithms for land cover mapping in the area dominated by small scale heterogeneous agricultural land
Authors: Rahayu Chairiyah Umi , Indarto Indarto , Cahyono Bowo Eko 
Published: June 2022

Abstract
Sentinel images are widely used for monitoring and mapping our environment phenomenon. The imagery applies in land-use and land cover mapping using pixel-based classification, image segmentation, or other image interpretation algorithms. One type of algorithm may be more suitable for a specific area, depending on many factors. This study aims to analyse and compare two classification algorithms for land cover (LC) mapping in the region characterised by a small scale type of agricultural land occupation. The primary input for this study is the Sentinel 2A image. Two well-known pixel-based classification algorithms, i.e., Maximum Likelihood classifier (MLC) and ECHO (Extraction and Classification of Homogeneous Objects), are used and are compared. The study covers an area of 3320.3 km2. The classification result produces nine (9) land cover classes, i.e., (1) pavement or urban area, (2) heterogeneous agricultural land, (3) irrigated paddy, (4) open water body, (5) dense vegetation or forest, (6) sparse vegetation or plantation, (7) shrubland or dry-land, (8) wetlands, and (9) sand-clay-rock. Classification using MLC and ECHO produced kappa and overall accuracies of more than 90%. In general, both algorithms can produce a relatively similar area extend for each class. However, two classes, i.e., (2) heterogeneous agricultural land and (6) sparse vegetation, are still tricky to distinguish.
Abnormal Shapes Identification of Gedong Mango Using Dimensionless Shape Factors in Image Processing
Authors: Ahmad U , Rosyid Muadz A. , Mardison  
Published: June 2022

Abstract
In addition to size, export quality requirements for gedong mango among others are clean surface, free of damaged mechanically or biologically, free from pests and diseases, and normal fruit shape. The abnormal fruit shape in mangoes is known as sitting mango, which is not easy to roll over when pushed because the fruit surface is flat on certain sides. Several dimensionless shape factors can be used to identify the shape of an object through image processing. Some shape factors that are often used to identify shapes of object in image processing include roundness, roundness ratio, sphericity, axial ratio, inequality degree of projected area and spherical disproportion. This study aims to identify the shape of the fruit using several dimensionless shape factors and determine the shape factors that can be used to distinguish normal and abnormal fruit shapes for gedong mangoes. The results showed that abnormal and normal mango gedong fruit shapes could be distinguished by image processing using the roundness, sphericity, and spherical disproportion form factors in certain deviant shapes but not for all samples.
Mapping and Assessing Black Pepper Growth using Time Series and Ground Data: A Case Study for Small Scale Cultivation in Bintulu, Sarawak
Authors: Zainol W N Z , Kamsan S Z L , Che’Ya N N 
Published: June 2022

Abstract
Mapping of crop cultivation using remote sensing immensely facilitate crop management and prediction. The capability to provide informative data enables users to monitor and manage their crops with optimum expenditure. Hence, this study was purposed on black pepper farm to establish an informative map of black pepper farm (SF, TF) in Sungai Plan, Bintulu, Sarawak using Landsat 8 OLI time series and ground truth data. Images from Landsat 8 OLI were retrieved and images were classified using Support Vector Machine (SVM). Extraction of farmland elevations was produced using black pepper points collected and processed through ArcGIS 10.4 software. Black pepper growth was measured through the percentage of height and DBH developed throughout this study. It was identified in this study that; (1) mapping black pepper farm using Landsat 8 OLI and SVM provides overall accuracy >70% and Kappa Coefficient >60% and, (2) the optimum black pepper growth was observed at elevation range between 39m - 50m. This study demonstrated that detailed information on geography and black pepper growth can enhance black pepper productivity and management.
Characterization of The Yield and Quality of Patchouli Oil Based on The Size of Chopping and Drying Type
Authors: Lubis A , Mandang T , Hermawan W , Sutrisno  
Published: June 2022

Abstract
One of the factors that affect the low yield and quality of patchouli oil is the way of handling raw materials. The purpose of this study was to examine the effect of drying type and chopping size on the yield and quality of patchouli oil. The method used in this research was experimental with descriptive analysis using two factors, namely the chopping size and the drying type. The results showed that the difference in the size of the chopped and the type of drying had a significant effect on the yield of patchouli oil, while the quality had an effect and no effect. Based on the analysis of the yield and quality of patchouli oil, the best treatment obtained in this study was the condition of chopping size 7 cm followed by drying (R1P1). The yield value of patchouli oil obtained in the R1P1 treatment is the highest yield of 2.55 % with yellow oil, specific gravity 0.973 g/g, solubility in alcohol 1:1, ester number 8.48 ml/g, refractive index 1.508°, patchouli alcohol 31.31 % are in accordance with SNI standards while the optical rotation -44.50°, and the acid number of 23.9 ml/g are not according to the SNI standard.
MPZL1 upregulation promotes tumor metastasis and correlates with unfavorable prognosis in non-small cell lung cancer
Authors: Feng Jian , Ouyang Huiling , Wang Jing , Pan Deshen , Sheng Luoyan , Xu Chaoliang , Lin Weihong , Hu Dingzhong , Chang Cheng , Jia Deshui 
Published: June 2022

Abstract
Non-small cell lung cancer (NSCLC), accounting for 85% of all lung cancer, is one of the leading causes of cancer-related death worldwide. Previously, we demonstrated that MPZL1 gene amplification promotes liver cancer metastasis through activating Src/Cortactin pathway. However, the clinical relevance and biological roles of the MPZL1 gene in lung cancer are still unknown. Here, we found that MPZL1 expression upregulates in human NSCLC, which is partly due to the copy number amplification of this gene. Next, we observed that high MPZL1 expression correlates with unfavorable prognosis of NSCLC patients. We further demonstrated that ectopic MPZL1 overexpression promotes in vitro migratory but not proliferation and colony formation abilities of both H1299 and H460 cells. Consistently, we found that MPZL1 knockdown impairs the migratory abilities of A549 and H1775 cells. Moreover, we found that MPZL1 knockdown inhibits in vivo metastatic but not tumor growth abilities of the A549 cells. Additionally, a total of 297 differentially expressed genes (DEGs) were identified by RNA sequencing in A549 cells upon MPZL1 knockdown. By integrative analysis of DEGs regulated by MPZL1 in A549 cells and human NSCLC tissues, we revealed that COL11A1 is the potential effector gene that positively regulated by MPZL1 and correlates with poor prognosis of NSCLC patients. In conclusion, our work indicates that one of the mechanisms by which MPZL1 promotes NSCLC metastasis is through upregulating the COL11A1, and MPZL1 can be used as a biomarker to predict the prognosis of NSCLC patients.
Elucidation of the genetic causes of bicuspid aortic valve disease
Authors: Gehlen Jan , Stundl Anja , Debiec Radoslaw , Fontana Federica , Krane Markus , Sharipova Dinara , Nelson Christopher P , Al-Kassou Baravan , Giel Ann-Sophie , Sinning Jan-Malte , Bruenger Christopher M H , Zelck Carolin F , Koebbe Laura L , Braund Peter S , Webb Thomas R , Hetherington Simon , Ensminger Stephan , Fujita Buntaro , Mohamed Salah A , Shrestha Malakh , Krueger Heike , Siepe Matthias , Kari Fabian Alexander , Nordbeck Peter , Buravezky Larissa , Kelm Malte , Veulemans Verena , Adam Matti , Baldus Stephan , Laugwitz Karl-Ludwig , Haas Yannick , Karck Matthias , Mehlhorn Uwe , Conzelmann Lars Oliver , Breitenbach Ingo , Lebherz Corinna , Urbanski Paul , Kim Won-Keun , Kandels Joscha , Ellinghaus David , Nowak-Goettl Ulrike , Hoffmann Per , Wirth Felix , Doppler Stefanie , Lahm Harald , Dreßen Martina , von Scheidt Moritz , Knoll Katharina , Kessler Thorsten , Hengstenberg Christian , Schunkert Heribert , Nickenig Georg , Nöthen Markus M , Bolger Aidan P , Abdelilah-Seyfried Salim , Samani Nilesh J , Erdmann Jeanette , Trenkwalder Teresa , Schumacher Johannes 
Published: June 2022

Abstract

Aims
The present study aims to characterize the genetic risk architecture of bicuspid aortic valve (BAV) disease, the most common congenital heart defect.

Methods and results
We carried out a genome-wide association study (GWAS) including 2236 BAV patients and 11 604 controls. This led to the identification of a new risk locus for BAV on chromosome 3q29. The single nucleotide polymorphism rs2550262 was genome-wide significant BAV associated (P = 3.49 × 10−08) and was replicated in an independent case–control sample. The risk locus encodes a deleterious missense variant in MUC4 (p.Ala4821Ser), a gene that is involved in epithelial-to-mesenchymal transformation. Mechanistical studies in zebrafish revealed that loss of Muc4 led to a delay in cardiac valvular development suggesting that loss of MUC4 may also play a role in aortic valve malformation. The GWAS also confirmed previously reported BAV risk loci at PALMD (P = 3.97 × 10−16), GATA4 (P = 1.61 × 10−09), and TEX41 (P = 7.68 × 10−04). In addition, the genetic BAV architecture was examined beyond the single-marker level revealing that a substantial fraction of BAV heritability is polygenic and ∼20% of the observed heritability can be explained by our GWAS data. Furthermore, we used the largest human single-cell atlas for foetal gene expression and show that the transcriptome profile in endothelial cells is a major source contributing to BAV pathology.

Conclusion
Our study provides a deeper understanding of the genetic risk architecture of BAV formation on the single marker and polygenic level.
Implantable defibrillators in primary prevention of genetic arrhythmias. A shocking choice?
Authors: Corrado Domenico , Link Mark S , Schwartz Peter J 
Published: June 2022

Abstract
Many previously unexplained life-threatening ventricular arrhythmias and sudden cardiac deaths (SCDs) in young individuals are now recognized to be genetic in nature and are ascribed to a growing number of distinct inherited arrhythmogenic diseases. These include hypertrophic cardiomyopathy, arrhythmogenic cardiomyopathy, long QT syndrome, Brugada syndrome, catecholaminergic polymorphic ventricular tachycardia (VT), and short QT syndrome. Because of their lower frequency compared to coronary disease, risk factors for SCD are not very precise in patients with inherited arrhythmogenic diseases. As randomized studies are generally non-feasible and may even be ethically unjustifiable, especially in the presence of effective therapies, the risk assessment of malignant arrhythmic events such as SCD, cardiac arrest due to ventricular fibrillation (VF), appropriate implantable cardioverter defibrillator (ICD) interventions, or ICD therapy on fast VT/VF to guide ICD implantation is based on observational data and expert consensus. In this document, we review risk factors for SCD and indications for ICD implantation and additional therapies. What emerges is that, allowing for some important differences between cardiomyopathies and channelopathies, there is a growing and disquieting trend to create, and then use, semi-automated systems (risk scores, risk calculators, and, to some extent, even guidelines) which then dictate therapeutic choices. Their common denominator is a tendency to favour ICD implantation, sometime with reason, sometime without it. This contrasts with the time-honoured approach of selecting, among the available therapies, the best option (ICDs included) based on the clinical judgement for the specific patient and after having assessed the protection provided by optimal medical treatment.
Serine biosynthesis as a novel therapeutic target for dilated cardiomyopathy
Authors: Perea-Gil Isaac , Seeger Timon , Bruyneel Arne A N , Termglinchan Vittavat , Monte Emma , Lim Esther W , Vadgama Nirmal , Furihata Takaaki , Gavidia Alexandra A , Arthur Ataam Jennifer , Bharucha Nike , Martinez-Amador Noel , Ameen Mohamed , Nair Pooja , Serrano Ricardo , Kaur Balpreet , Feyen Dries A M , Diecke Sebastian , Snyder Michael P , Metallo Christian M , Mercola Mark , Karakikes Ioannis 
Published: June 2022

Abstract

Aims
Genetic dilated cardiomyopathy (DCM) is a leading cause of heart failure. Despite significant progress in understanding the genetic aetiologies of DCM, the molecular mechanisms underlying the pathogenesis of familial DCM remain unknown, translating to a lack of disease-specific therapies. The discovery of novel targets for the treatment of DCM was sought using phenotypic sceening assays in induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) that recapitulate the disease phenotypes in vitro.

Methods and results
Using patient-specific iPSCs carrying a pathogenic TNNT2 gene mutation (p.R183W) and CRISPR-based genome editing, a faithful DCM model in vitro was developed. An unbiased phenotypic screening in TNNT2 mutant iPSC-derived cardiomyocytes (iPSC-CMs) with small molecule kinase inhibitors (SMKIs) was performed to identify novel therapeutic targets. Two SMKIs, Gö 6976 and SB 203580, were discovered whose combinatorial treatment rescued contractile dysfunction in DCM iPSC-CMs carrying gene mutations of various ontologies (TNNT2, TTN, LMNA, PLN, TPM1, LAMA2). The combinatorial SMKI treatment upregulated the expression of genes that encode serine, glycine, and one-carbon metabolism enzymes and significantly increased the intracellular levels of glucose-derived serine and glycine in DCM iPSC-CMs. Furthermore, the treatment rescued the mitochondrial respiration defects and increased the levels of the tricarboxylic acid cycle metabolites and ATP in DCM iPSC-CMs. Finally, the rescue of the DCM phenotypes was mediated by the activating transcription factor 4 (ATF4) and its downstream effector genes, phosphoglycerate dehydrogenase (PHGDH), which encodes a critical enzyme of the serine biosynthesis pathway, and Tribbles 3 (TRIB3), a pseudokinase with pleiotropic cellular functions.

Conclusions
A phenotypic screening platform using DCM iPSC-CMs was established for therapeutic target discovery. A combination of SMKIs ameliorated contractile and metabolic dysfunction in DCM iPSC-CMs mediated via the ATF4-dependent serine biosynthesis pathway. Together, these findings suggest that modulation of serine biosynthesis signalling may represent a novel genotype-agnostic therapeutic strategy for genetic DCM.
Efficacy and safety of a novel cryoballoon ablation system: multicentre comparison of 1-year outcome
Authors: Knecht Sven , Sticherling Christian , Roten Laurent , Badertscher Patrick , Krisai Philipp , Chollet Laurève , Küffer Thomas , Spies Florian , Völlmin Gian , Madaffari Antonio , Mühl Aline , Baldinger Samuel H , Servatius Helge , Tanner Hildegard , Osswald Stefan , Reichlin Tobias , Kühne Michael 
Published: June 2022

Abstract

Aims
The aim of the study was to compare the 1-year efficacy and safety of a novel cryoballoon (NCB) ablation system (POLARx; Boston Scientific) for pulmonary vein isolation (PVI) compared with the standard cryoballoon (SCB) system (Arctic Front, Medtronic).

Methods and results
Consecutive patients with atrial fibrillation (AF) undergoing PVI using the NCB and the SCB at two centres were included. We report 1-year efficacy after 12 months, short-term safety and hospitalizations within the blanking period, and predictors for AF recurrence. In case of repeat procedures, pulmonary vein (PV) reconnection patterns were characterized. Eighty patients (age 66 ± 10 years, ejection fraction 57 ± 10%, left atrial volume index 39 ± 13 mL/m2, paroxysmal AF in 64%) were studied. After a single procedure and a follow-up of 12 months, 68% in the NCB group and 70% in the SCB group showed no recurrence of AF/atrial tachycardias (P = 0.422). One patient in the NCB group suffered a periprocedural stroke with full recovery. There were no differences regarding hospitalizations during follow-up between the groups. PV reconnection observed during 12 repeat procedures (4 NCB, 8 SCB) pattern was comparable between the groups with more reconnections in the right-sided compared with the left-sided PVs.

Conclusion
In this multicentre study comparing two currently available cryoballoon ablation systems for PVI, no differences were observed in the efficacy and safety during a follow-up of 12 months.
Co-production of knowledge and strategies to support climate resilient fisheries
Authors: Mills Katherine E , Armitage Derek , Eurich Jacob G , Kleisner Kristin M , Pecl Gretta T , Tokunaga Kanae 
Published: June 2022

AbstractKnowledge co-production offers a promising approach to design effective and equitable pathways to reach development goals. Fisheries Strategies for Changing Oceans and Resilient Ecosystems by 2030 (FishSCORE), a United Nations Ocean Decade programme, will co-produce knowledge that advances solutions for climate resilient fisheries through networks and partnerships that include scientists, stakeholders, practitioners, managers, and policy experts. FishSCORE will establish (1) a global network that will develop broadly relevant information and tools to assess and operationalize climate resilience in marine fisheries and (2) local and regional partnerships that will apply those tools to identify and forward context-specific resilience strategies. FishSCORE's activities will be guided by a set of core principles that include commitments to inclusivity, equity, co-leadership, co-ownership, and reciprocity. FishSCORE will focus on identifying solutions for climate resilient fisheries, and it will also advance goals associated with capacity, power, and agency that will support iterative, pluralistic approaches to decision-making in fisheries experiencing ongoing climate-driven changes. This process of co-producing knowledge and strategies requires considerable investments of time from all partners, which is well aligned with the Ocean Decade. However, secure funding must be prioritized to support and implement co-production activities over this long time horizon.