bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH PRODUKSI MINYAK TERHADAP INDEKS PEMBANGUNAN MANUSIA DI NEGARA ANGGOTA OKI
Authors: Putri Winalda Klarista , Auwalin Ilmiawan 
Published: June 2021

ABSTRAKTujuan dari penelitian ini adalah untuk mengetahui terkait pengaruh volume produksi minyak, harga minyak dunia, PDB, inflasi, dan jumlah penduduk terhadap IPM di negara anggota OKI pada tahun 2008-2017. Regresi data panel dengan model fixed effect adalah metode yang digunakan untuk menyelidiki hubungan antara variabel bebas dan variabel terikat sebagian atau seluruhnya di waktu yang sama.. Hasil yang ditemukan menunjukkan bahwa volume produksi minyak dan harga minyak dunia berpengaruh negatif dan signifikan terhadap IPM. PDB menunjukkan pengaruh positif dan signifikan terhadap IPM. Sedangkan, inflasi dan jumlah penduduk berpengaruh positif dan tidak signifikan terhadap IPM. Hasil ini dapat menjadi informasi dan pertimbangan bagi pemerintah serta otoritas terkait dalam pengambilan kebijakan dalam memperbaiki dan meningkatkan pembangunan manusia pada masing-masing Negara-negara anggota OKI. Kata Kunci: Produksi Minyak, Harga Minyak Dunia, Indeks Pembangunan Manusia, Negara Anggota OKI. ABSTRACTThe purpose of this study is to find out what impact of oil production volume , world oil price, GDP, inflation, and population. Panel data regression with Fixed Effect Model is the approach used (FEM) to investigate the relationship between independent variables and the dependent variable in part or all at the same time. The findings show that oil production volume and world oil prices have a negative and signficant impact on HDI. GDP shows a positive and significant impact on HDI. Meanwhile, inflation and population have a positive and insignificant impact on HDI. These results can be used as information and considerations for the government and related authorities in policymaking in improving and increasing human development in each OIC member countries. Keywords: Oil Production, World Oil Price, Human Development Index, OIC Countries.
ANALISA DAMPAK KEPUASAN PELANGGAN DALAM HUBUNGAN ANTARA ORIENTASI PELAYANAN DAN KUALITAS PELAYANAN TERHADAP LOYALITAS PELANGGAN SALON MUSLIMAH
Authors: Jauzi Ibnu , Prasetyo Ari 
Published: June 2021

ABSTRAKLoyalitas pelanggan merupakan hal yang harus diutamakan perusahaan jasa dalam menjalankan bisnisnya. Tanpa adanya pelanggan yang loyal terhadap perusahaan maka sustainbility perusahaan tersebut akan terancam. Penelitian ini bertujuan untuk meneliti dampak orientasi pelayanan dan kualitas pelayanan terhadap loyalitas pelanggan melalui kepuasan pelanggan pada salon muslimah di Kota Kediri. Apakah dalam mencapai loyalitas pelanggan harus melalui kepuasan pelanggan atau tidak. Penelitian ini menggunakan pendekatan kuantitatif dengan metode SEM PLS. Pengujiannya dilakukan menggunakan aplikasi SmartPLS 3.0 dengan kategori responden yaitu pelanggan yang telah merasakan produk salon muslimah di Kota Kediri. Hasil penelitian menunjukkan adanya efek moderasi kepuasan pelanggan dalam hubungan orientasi dan kualitas pelayanan terhadap loyalitas pelanggan.Hal tersebut mengindikasikan bahwa orientasi dan kualitas pelayanan yang dilakukan oleh salon muslimah di Kota Kediri bisa dikategorikan baik sehingga membuat para pelanggannya menjadi loyal.Kata Kunci: Loyalitas Pelanggan, Orientasi Pelayanan, Kualitas Pelayanan, Kepuasan Pelanggan, Salon Muslimah. ABSTRACTCustomer loyalty is something that must be prioritized by service companies in running their business. Without customers who are loyal to the company, the company's sustainability will be threatened. This study aims to examine the impact of service orientation and service quality on customer loyalty through customer satisfaction at Muslimah salons in Kediri. Whether to achieve customer loyalty must go through customer satisfaction or not. This study uses a quantitative approach with the SEM PLS method. The test was carried out using the SmartPLS 3.0 application with the respondent category, namely customers who have experienced Muslim salon products in Kediri. The results showed that there was a moderating effect of customer satisfaction in the relationship between orientation and service quality on customer loyalty. This indicates that the orientation and quality of service carried out by muslimah salons in Kediri City can be categorized as good so that it makes its customers loyal.Keywords: Customer Loyalty, Service Orientation, Service Quality, Customer Satisfaction, Muslimah Salon.
Research On Optimization of Energy Efficient Routing Protocol Based On LEACH
Authors: Sun Haibin , Pan Dijing 
Published: June 2021

Abstract
Aiming at the shortcomings of a typical Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol, which randomly selects cluster heads (CHs) and sends data to the base station (BS) by single-hop, an improved effcient routing protocol, Leach-sub-muti, is proposed. In the process of electing CH, the protocol considers the energy of the node, the distance from the node to the BS, the density around the node, and so on. After the cluster is formed, the backup CHs in the cluster are selected according to the load of the CH nodes. In the data transmission stage, if there is a backup CH in the cluster, the nodes in the cluster send data to the CH firstly, and then when the energy of the CH node is lower than the average energy, the backup CH temporarily acts as the CH to forward data to the BS. This protocol allows normal nodes to forward data to the BS directly. When ordinary nodes forward data to the CH, the data can be forwarded by combining single-hop and multihop. Similarly, the data of the CH is also forwarded to the base station in the same way. MATLAB simulation experiments show that the optimized protocol sends more packets with less energy than the LEACH protocol, reducing the energy loss of nodes, and extending the life cycle of the entire network.
Design of Honeycomb Shaped Spectroscopy based Biosensor for the Detection of Tuberculosis Cells
Authors: Parvin Tarunnum , Zobaer M S , Ahmed Kawsar , Bui Francis Minhthang , Mitu Sumaiya Akhtar , Vigneswaran D , rajan Murugan senthil Mani 
Published: June 2021

Abstract
A novel compact honeycomb spectroscopic-based PCF sensor for the detection of tuberculosis cells is proposed. A circular shape core area and tightly bound hexagonal shape air holes in the cladding area are designed for the suggested structure that exhibits ultra-high sensitivity up to 99.99% and very low loss of order 10-11 dB/m. The optical parameters such as effective area (Aeff), V-parameter or normalized frequency (Veff), spot- size (Weff), numerical aperture, along quality factor of beam have been exhibited and numerically observed. The wavelength operating region is specified as 1.2 μm to 2.5 μm. The guiding properties of this suggested tuberculosis sensor is computed with the full vector finite element method (FV-FEM) in the environment of COMSOL Multiphysics (Version5.3) for the calculation of numerical analysis. Circular shape perfectly matched layer (PML) and hexagonal lattice PCF sensor using silica as a background material is successfully designed to increase the sensitivity response compare to the prior works. Moreover, during the entire operating wavelength presented sensor achieves a single modality. With excellent sensitivity response and very low confinement loss, this proposed sensor doubtfully proves its prominent role to detect tuberculosis cells.
Monovalent Copper and Silver Ions Block DNA Polymerase Chain Reaction
Authors: Moshkovich Lea , Saphier Oshra , Popov Stanislav , Shotland Yoram , Silberstein Eldad , Saphier Magal 
Published: June 2021

Abstract
In the present study we present the dramatic effect that monovalent copper ions (Cu(I))have on the DNA polymerase chain reaction, and the moderate effect which monovalent silver ions (Ag(I)) have on it. Our research utilizes the commercial Polymerase Chain Reaction (PCR) system: in anaerobic conditions, in the presence of less than 0.1 mM of Cu(I) ions or in the presence of less than 10mM of Ag(I) ions, the PCR system was entirely shut down.Under the same conditions, 1 mM of divalent copper ions (Cu(II)) ions shows only a minor effect, while10mM of divalent Ni and Zn ions shows no effect at all.This finding can give some explanation for the strong antimicrobial activity of monovalent copper ions (Cu(I))as well as Ag(I). Although the mechanism of this effect is not yet fully understood, we recently published results showing that under the conditions of acidic pH, an unfavorable carbon source, low molecular oxygen concentration and elevated temperatures, the antibacterial action of Cu(I) ions is boosted, with a 106 bacterial population eliminated in less than 1 min by 0.4mM of Cu(I). Microscopy checking of E.coli morphology and light scattering testes showed mortality of bacteria with almost no lysis. These results suggest that rapid and lethal metabolic damage is the main mechanism of Cu(I)’s antimicrobial effect.
Marketed Surplus and Demand for Improved Groundnut Varieties: Empirical Evidence From Smallholders in Central and Northern Malawi
Authors: Katunga Admire , Zegeye Edilegnaw Wale , Ortmann Gerald 
Published: June 2021

Abstract
The quest to increase marketed surplus prompts farmers to demand high-yielding crop varieties. Understanding the farmers' challenges to increase marketed surplus would contribute to policy intervention measures that increase crop yields. Using an Endogenous Switching Probit regression (ESP) model, the study investigated the effect of marketed surplus on-demand for improved groundnut varieties and determined the factors that affect marketed surplus. The study used data collected from 416 farm households in some selected districts of central and northern Malawi. The ESP estimates showed that marketed surplus had a positive impact on the demand for improved groundnut varieties. The demand for improved groundnut varieties increased by 40% among smallholders with a marketed surplus. Conversely, the demand for improved groundnut varieties among farmers with no marketed surplus declined by 14%. Other findings suggest that increased crop productivity, smallholders' engagement in off-farm economic activities, and enhanced access to market information are critical in increasing marketed surplus. Therefore, policy intervention measures that encounter the farmers' challenges in the output market are critical for the increased marketed surplus to enhance the demand for improved varieties.
Effectively regulating foreign fishing to improve food security and fishery sustainability in Africa
Authors: Ye Yimin , Cochrane Kevern , Ndiaye Papa , Al-Husaini Mohsen 
Published: June 2021

Abstract
Africa is the poorest continent with a burgeoning population and experiencing the most severe food insecurity and overfishing in the world. Searching for sustainable development pathways, we systematically analyzed a comprehensive dataset on fish consumption, international trade, production by local and foreign fleets, and fishery resource status available for the last 70 years. Our findings show that Africa relies on imports to supplement the lowest per capita fish consumption among continents while foreign fleets fish legally or illegally in African waters, annually landing approximately 3.3 million tonnes of fish (equivalent to 48% of the total marine catch reported by African countries) outside Africa in 2017. While restoring overfished stocks, Africa should urgently transform the regulation and use of foreign fishing to satisfy various demands for more fish for African people, better profits and social prospects for the fishery sector, and sustainable fish resources as required by the United Nations Sustainable Development Goals.
Analyzing the Treatment Delivery Accuracy of the uRT Treatment Planning System and uRT-Linac 506C by Use of AAPM TG 119 Test Cases
Authors: Jiang DaZhen , Wang Dajiang , Shen Jiuling , Zhang Jun , Chen Cheng , Bao Zhirong , Zhao Hongli , Chen Ji , Liu Hui , Wang Xiaoyong 
Published: June 2021

Abstract
ObjectiveThe objective of this study was to investigate accuracy of the United Imaging Healthcare's uRT treatment planning system (uRT-TPS), by creating AAPM TG 119 test plans with respectively IMRT and VMAT techniques by homogeneous and heterogeneous phantom. Materials and MethodsThe plans were delivered to the homogeneous and heterogeneous phantom using the United Imaging Healthcare's uRT-Linac 506C. The overall dose calculation accuracy by uRT-TPS with Collapsed Cone Convolution (CC) and Monte Carlo (MC) algorithm was measured and analyzed by creating IMRT and VMAT plans for the 5 test geometries specified in TG 119, by using two kinds of beams FF photon beam and FFF photon beam. The point doses were measured with a Farmer type ion chamber and the fluences were measured with films respectively. Results The result of position accuracy was shown that the worst position accuracy is 0.36 mm and the repeated positioning accuracy of MLC field location was less than 0.25mm. The symmetry deviation of MLC was less than 0.08mm. In this study, the CLs of sMLC, dMLC and VMAT plans with FF photon beams were 2.74%, 2.12%, and 1.36% respectively. As for FFF photon beams, they were 3.76%, 2.14% and 2.90% respectively, whereas the counterpart CL specified in TG119 were 4.5% for the high dose regions and 4.7% for OAR regions. The CLs of Gamma Passing rates for sMLC, dMLC and VMAT plans were 4.59%, 5.35% and 2.15% for FF beam mode, and were 1.82%, 6.12% and 4.82% for FFF beam mode. For the heterogeneous phantom, the maximum deviation is 2.35% for CC and 2.63% for MC algorithm respectively.Conclusion Based on this analysis which were performed in accordance with the TG 119 recommendations, it is evident that the URT treatment planning system and URT-Linac 506C have commissioned IMRT and VMAT techniques with adequate accuracy. and all uRT_TPS treatment plans were recognized as clinically acceptable.
Development and Validation of a Novel Risk Score for Predicting Clinical Deterioration in COVID-19 Patients: The ABCD Risk Score
Authors: Imai Kazuo , Kitagawa Yutaro , Tabata Sakiko , Matsuoka Masaru , Nagura-Ikeda Mayu , Fukada Ai , Miyoshi Kazuyasu , Saito Yoshiro , Tarumoto Norihito , Maeda Takuya 
Published: June 2021

Abstract
IntroductionFor the appropriate allocation of medical resources to at-risk COVID-19 patients, a simple risk scoring model for the risk stratification of clinical deterioration in the early stage of symptom onset would be invaluable. Here, we report the development and validation of such a model for clinical deterioration in COVID-19.MethodsThis multicenter retrospective cohort study conducted in Japan included adult patients (≥18 years old) with confirmed COVID-19 according to molecular diagnostic methods and hospitalized in two hospitals. Patients who did not undergo laboratory tests within 10 days of initial symptom onset and those who were treated with oxygen therapy before hospitalization were excluded. Patients were divided into derivation (n=446) and temporal validation (n=305) datasets based on hospitalization period. The primary outcome was need for oxygen therapy within 14 days of hospitalization.ResultsA novel ABCD Risk Score (range, 0–12) comprising age, body mass index, C-reactive protein, and lactate dehydrogenase levels at admission was developed in the derivation dataset. This risk score showed good discrimination for clinical deterioration (concordance statistics, 0.86; 95% confidence interval [CI]: 0.72–0.90) with good calibration (intercept, 0.01; slope, 0.99) in the temporal validation dataset. Three risk groups were defined: low risk (≤3 points), intermediate risk (4–6 points), and high risk (≥7 points). In the validation dataset, the clinical deterioration rates for these three groups were 7.1% (95% CI: 3.1%–13.6%), 32.9% (95% CI: 22.3%–44.9%), and 73.3% (95% CI: 64.5%–81.0%), respectively. The risk score showed better discrimination and calibration performance than four previously reported risk scoring models.ConclusionOur novel ABCD Risk Score can be used for the risk stratification of clinical deterioration in COVID-19 patients at an early stage of symptom onset.
Novel Findings From Family-based Exome Sequencing for Children With Biliary Atresia
Authors: Tran Kien , Le Vinh , Dao Lan , Nguyen Huyen , Mai Anh , Nguyen Ha , Ngo Minh , Tran Quynh , Nguyen Liem 
Published: June 2021

Abstract
Biliary atresia (BA) is a progressive inflammation and fibrosis of the biliary tree, characterized by the obstruction of bile flow led to liver failure, scarring and cirrhosis. This study aimed to explore the elusive etiology of BA by conducting whole exome sequencing (WES) for 41 children with BA and their parents (35 trios, including one family with two BA diagnosed children and five child-mother cases). We exclusively identified and validated a total of 28 variants (17 X-linked, six de novo and five homozygous) in 25 candidate genes from our BA cohort. These variants were among the 10% most deleterious and having a low minor allele frequency against three employed databases: Kinh Vietnamese (KHV), gnomad and 1000 Genome project. Interestingly, AMER1, INVS and OCRL variants were repeatedly found in unrelated probands, and were firstly reported in a BA cohort. Liver specimens and blood samples showed identical variants, suggesting that somatic mutations were unlikely to occur during the morphogenesis. In agreement with earlier attempts, this study implicated a genetical heterogeneity and non-Mendelian inheritance of BA.
Exploring the Mechanisms Underlying the Therapeutic Effect of Xixin Decoction on Alzheimer's Disease Based on Network Pharmacology and Molecular Docking
Authors: Zhang Zhuo , Xu Jiang-lin , Wei Ming-qing , Li Ting , Shi Jing 
Published: June 2021

Abstract
Background and objective: Alzheimer’s disease (AD) has been a worldwide problem, not only the treatment but also the prevention. As a commonly used Chinese Herbal Formula, Xixin Decoction (XXD) has significant therapeutic effect on AD but without clear mechanism. This study was aimed to predict the main active compounds and targets of XXD in the treatment of AD and to explore the potential mechanism by using network pharmacology and molecular docking. Methods: The compounds of XXD were searched in the TCMSP and the TCMID database, and the active compounds were screened based on the ADME model and SwissADME platform. SwissTargetPrediction platform was used to search for the primary candidate targets of XXD. The common targets related to AD obtained by two databases (GeneCards and DisGeNET) were determined as candidate proteins involved in AD. To acquire the related targets of XXD in the treatment of AD, the target proteins related to AD were intersected with the predicted targets of XXD. Then these overlapping targets were imported into the STRING database to build PPI network including hub targets; Cytoscape 3.7.2 software was used to construct the topology analysis for the herb-compound-target network diagram while one of it’s plug-in called CytoNCA was used to calculate degree value to screen the main active compounds of XXD. GO and KEGG pathway enrichment analyses were conducted to explore the core mechanism of action and biological pathways associated with the decoction via Metascape platform. We used AutoDock Vina and PyMOL 2.4.0 softwares for molecular docking of hub targets and main compounds.Results: We determined 114 active compounds which meet the conditions of ADME screening, 973 drug targets, and 973 disease targets. However, intersection analysis screened out 208 shared targets. PPI network identified 9 hub targets, including TP53, PIK3CA, MAPK1, MAPK3, STAT3, AKT1, etc. The 10 main active compounds play a major role in treatment of AD by XXD. Hub targets were found to be enriched in 10 KEGG pathways, involving the Pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, Alzheimer's disease, Neuroactive ligand-receptor interaction, Dopaminergic synapse, Serotonergic synapse and MAPK signaling pathway. The docking results indicated that the 8 hub targets exhibit good binding activity with the 9 main active compounds of XXD.Conclusions: We found the advantages of multi-compounds-multi-targets-multi-pathways regulation to reveal the mechanism of XXD for treating AD based on network pharmacology and molecular docking. Our study provided a theorical basis for further clinical application and experimental research of XXD for anti-AD in the future.
FIDDLE: Efficient Assembly of Networks That Satisfy Desired Behavior
Authors: Butchy Adam A. , Telmer Cheryl A. , Miskov-Zivanov Natasa 
Published: June 2021

Abstract
Background: Due to the complexity and redundancy of biological systems, computational models are difficult and laborious to create and update. Therefore, machine reading and automated model assembly are of great interest to computational and systems biologists. Here, we describe FIDDLE (Finding Interactions using Diagram Driven modeL Extension), the tool that we built with the goal to automatically assemble or extend models with the knowledge extracted from published literature. The two main methods developed as part of FIDDLE are called Breadth First Addition (BFA) and Depth First Addition (DFA), and they are based on network search algorithms. To assess the advantages and limitations of BFA and DFA, we applied them on Erdös-Rényi random networks (ER) and Barabási-Albert scale-free networks (BA) as models of biological networks. Starting with several different baseline models and different sets of candidate edges, we conducted a comprehensive evaluation of the BFA and DFA algorithms and their ability to either reconstruct a specified network structure or assemble models that reproduce the same behavior as defined golden models.Results: When BFA and DFA are applied to random networks, we are able to show that model extension with BFA is more specific and DFA is a more sensitive approach. When applied to scale-free networks, both BFA and DFA demonstrated very limited success. Conclusion: Results suggest that BFA is a better method for assembling abundant but mixed true and false information, while DFA will better assemble fewer and more truthful interactions. The limited success with scale-free networks suggests a fundamental difficulty with automatically creating biological models due to the inherent redundancy and complexity of biological networks. These methods represent an early attempt and a novel approach to truly autonomous model creation or extension given different types of knowledge. The source code is available at: https://bitbucket.org/biodesignlab/fiddle/.
The endurance of flash-frozen biologics can be improved allowing high-resolution electron microscopy tomography on individual proteins
Authors: Fera Andrea 
Published: June 2021

Abstract
Here surprising results are shown demonstrating a workflow possibly able to exploit the discreet nature of interactions between high-energy electron beams and matter. Isolated protein constructs have been imaged after an original temperature-curing in vacuum, introduced recently for flash-frozen rigid biopolymers, and here applied to flash-frozen oligomers of viral origin. These results, if confirmed, may extend to plastics and bio-oligomers the access to atomic coordinates in one experimental session, when imaged by electron microscopy. Which is the case when imaging semiconductors or other solid materials, provided that the samples are not damaged by the interaction with accelerated electron beams in vacuum. Therefore, potentially, this workflow introduces the possibility of achieving atomic resolution in only one experiment with data only about one individual protein, maybe out of thermodynamic equilibrium. Such data are vital to understand protein-protein interactions. Finally, this workflow offers the possibility, new to cryo-electron microscopy samples, to store a sample indefinitely under liquid nitrogen for imaging the same molecules in more than one experimental session.