bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH STRATEGI PEMASARAN DAN MEDIA SOSIAL TERHADAP PERILAKU KONSUMEN CAFE MALAM
Authors: Fahlevi Muhammad Riza , Achmad Bachrudin Ali , Rahmawati Emy
Published: July 2021

A good and right relationship marketing strategy and social media will lead to good consumer behavior as well. This study aims to examine the effect of marketing strategy (X1) and social media (Instagram) (X2) on consumer behavior (Y) café Malam Banjarmasin. This research is a descriptive study, with a sample of 100 at café Malam Banjarmasin consumers. The data collection used a questionnaire, while the data analysis used multiple linear regression. The variables studied were Likert scale. The questionnaire was tested by validity and reliability tests. Data processing using SPSS version 25.0.The t test results on consumer behavior are valid because r > 0.3 and the reliability test shows reliable because alpha cronbach > 0.6. The normality test is obtained 0.05 and it is said that the data is normally distributed and on the normal line of the plot, you can see that the points from the graph spread around the diagonal line and follow the diagonal line. The more the marketing strategy variable (X1) increases, the consumer behavior (Y) increases, while the marketing strategy variable (X1) decreases, the consumer behavior decreases(Y). The conclusion of this study is that there is a marketing strategy and social media that affect consumer behavior by 57%.Keywords: Marketing strategy, social media, consumer behavior.
PENGARUH TOTAL ASSET TURN OVER TERHADAP RETURN ON EQUITY, RETURN ON ASSET DAN PRICE TO BOOK VALUE PADA PERUSAHAAN PERTAMBANGAN BATUBARA YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2013-2019
Authors: Sumarsidi Wahyu , Suyatno Suyatno , Hairudinor Hairudinor
Published: July 2021

The aim of this research is to analysis the effects of total asset turnover ratio on return equity ratio, return on asset, and price to book value. This research is an explanatory-causality which tests and analysis 6 direct effects and 3 mediation effects. Target population of this research is the 25 coal mining firms that listed in Indonesian Stock Exchange at the years 2013-2019, and the sample size are 105 time series data of the 15 firms selected with purposeve sampling those can compute to observed variables include in the research model.The research findings demonstrate that the 5 positive significance direct-effect, excepted the return on equity have negative insignificance effect toward price to book value. The 3 mediations significance effect that are (1) return on equity at the effect of the total asset turnover toward return on asset, (2) return on asset at the effect of the return on equity toward price to book value, and (3) multi-phase of the return on equity and return on asset at the effect of the total asset turnover toward price to book value.Keywords: Total Asset Turnover, Return On Equity, Return On Asset, Price To Book Value, and Coal Mining Firms.
The Potential of Constructed Wetlands for Liquid Waste Management in Small and Medium-Scale Tannery: A Literature Review
Authors: Purba Febriani
Published: July 2021

The leather tanning industry or tannery, mainly in the small and medium scale (SMEs), is not environmentally friendly. Limited capitals drive the SMEs-scale tanneries to dispose of liquid waste directly into water bodies without proper treatment.  It might cause serious environmental problems due to the high content of COD, BOD, chromium, and dyes.  Treatment of liquid waste using constructed wetlands has been widely used because it is efficient, cheap, and powerful. This review discusses the latest studies in the wastewater treatment of tanneries using phytoremediation techniques and constructed wetlands and their potential applications in the SMEs tanneries.
The Effect of Organic Fertilizer and Liquid Complementary Fertilizer on The Seed Growing Medium from Topsoil
Authors: Wahyudi Fazlul , Priatmadi Bambang J. , Purnomo Joko
Published: July 2021

In coal mine reclamation activities, topsoil is generally used as the top layer on the reclamation land surface and the primary material in the growing medium for reclamation plant seeds due to its abundant availability. Topsoil generally has a low fertility rate because the soil layers between horizons have been mixed. Improvement of topsoil quality can be performed by adding organic fertilizers. This study aimed to identify the effect of organic fertilizers, liquid complementary fertilizers (LCF), and their interactions on selected soil's chemical properties from the topsoil used as a seed growing medium. This study used a factorial completely randomized design (CRD) with two factors, consisting of organic fertilizer factors (guano phosphate, Subur Ijo, vermicompost) and LCF factors (IMO, liquid smoke, Vermiwash). The results showed that the independent treatment of organic fertilizers and LCF had a very significant effect on pH. The independent treatment of organic fertilizers had a very significant effect on organic C and Total K. Meanwhile, the interaction between the two treatments had a very significant effect on the Total N and Total P of the growing media. The addition of organic fertilizers and LCF can improve topsoil quality to be used as a medium for growing media.
THEORETICAL ISSUES ON ENVIRONMENTAL ACCOUNTING INFORMATION SYSTEMS IN HOSPITALITY EDUCATION
Authors: Tahinakis Panayiotis , Mylonakis John , Protogeros Nicolaos
Published: July 2021

In a competitive environment the application of Information Technology Systems by tourism companies can increase future prosperity and financial growth. The purpose of this paper is to measure the natural assets and to calculate the environmental benefits, as well as, the associated costs, so as to include all the above in the financial statements (balance sheet and profit & loss account). It is crucial to point out that the installation of a Green Accounting Information System requires evaluation of human assets (students and professors), availability of space, value the benefits, as well as, estimate the necessary installation costs. Literature suggests that although many information systems of environmental management have been developed, no significant progress was made on the growth of green accounting information systems due to the inherent difficulty for the monetary expression of environmental accumulated costs and related natural resources.
EVALUATION OF THE QUALITY OF THE TOURIST SERVICE OFFERED TO FOREIGN TOURISTS IN THE CITY OF CARTAGENA DE INDIAS, COLOMBIA
Authors: Vergara-Schmalbach Juan Carlos , Maza-Avila Francisco Javier , Martinez-Nagle Orlando , Girado-Guzmán Carlos Andrés
Published: July 2021

Purpose – The objective of this article is to evaluate the quality of tourism services in the city of Cartagena de Indias, Colombia, from the perspective of foreign tourists arriving there, and to identify the elements that have the greatest influence on satisfaction and future behaviour, the latter expressed in the desire to return to enjoy the destination and/or recommend the city to third parties. Design – The paper proposes a Formative Type Model, where observable variables affect latent or structural variables. Five factors have been considered in this valuation: Tangibility, Reliability, Responsiveness, Security and Empathy. Methodology – The multivariate Partial Least Squares Regression technique is used, belonging to the set of methods of Structural Equation Systems. 390 surveys were applied to Spanish, English, and Italian-speaking international tourists, with a confidence level of 95% and a margin of error of 5%, assuming an infinite population. Findings – The results show that international tourists intend to return to the destination and overall satisfaction was positive. Originality – The results of this study contribute to the scientific literature on new methods for evaluating the quality of tourism services, using analysis techniques that place the customer at the center of decision-making.
An Unnatural Amino Acid-Regulated Growth Controller Based on Informational Disturbance
Authors: Kato Yusuke
Published: July 2021

We designed a novel growth controller regulated by feeding of an unnatural amino acid, Nε-benzyloxycarbonyl-L-lysine (ZK), using a specific incorporation system at a sense codon. This system is constructed by a pair of modified pyrrolisyl-tRNA synthetase (PylRS) and its cognate tRNA (tRNApyl). Although ZK is non-toxic for normal organisms, the growth of Escherichia coli carrying the ZK incorporation system was inhibited in a ZK concentration-dependent manner without causing rapid bacterial death, presumably due to generation of non-functional or toxic proteins. The extent of growth inhibition strongly depended on the anticodon sequence of the tRNApyl gene. Taking advantage of the low selectivity of PylRS for tRNApyl anticodons, we experimentally determined the most effective anticodon sequence among all 64 nucleotide sequences in the anticodon region of tRNApyl gene. The results suggest that the ZK-regulated growth controller is a simple, target-specific, environmental noise-resistant and titratable system. This technique may be applicable to a wide variety of organisms because the growth inhibitory effects are caused by “informational disturbance”, in which the highly conserved system for transmission of information from DNA to proteins is perturbed.
Seasonal Spatial and Temporal Distribution of Chlorophyll-a Concentration over Kuwait and the Arabian Gulf using Satellite and In-Situ Data
Authors: Albanai Jasem A.
Published: July 2021

The concentration of chlorophyll-a (chlor-a) is an important indicator of marine water quality, as it is considered an indicator of the phytoplankton density in a specific area. Remote sensing techniques have been developed to measure the near-surface concentration of chlor-a in water across the correlation between spectral bands and in situ data. This algorithm applies to sensors of varying spatial, temporal and spectral resolutions. However, in this study, chlor-a level 2 and 3 products of SNPP – VIIRS spectrometer (Equation OC3) of NASA OceanColor suite was relied upon to study the spatial and temporal distribution of chlor-a concentration in the Arabian Gulf (also known as the Persian Gulf) and the State of Kuwait’s water (located to the north-eastern part of the Arabian Gulf) from 2012 to 2019. Ground truthing points (n = 192) matched to the level 2 products have been used to build an empirical model and cross-validate it. The correlation was positive where was 0.79 and the validation RMSE was = ± 0.64 mg/m-3. The derived algorithm was then applied to chlor-a level 3 seasonal products. Additionally, the chlor-a concentration values of Kuwaiti waters have been enhanced using the IDW algorithm to increase the spatial resolution, as it is considered as a small area compared to the spatial resolution of level 3 chlor-a products. The model derived from IDW was tested using the Mann Whitney test (Sig = 0.948 p > 0.01). However, the result showed that the chlor-a concentration is higher in Kuwait Bay compared to Kuwaiti water, and it is higher in Kuwaiti water compared to the Arabian Gulf. The coasts have higher concentrations too, when compared to the open water. Generally, the chlor-a increases in winter and makes a semi-regular cycle during the years of study; this cycle is more regular in the Gulf’s waters than in Kuwait’s.
PENGABDIAN KKM DI DESA TURUS KECAMATAN WALANTAKA KOTA SERANG DALAM MENGHADAPI PANDEMI COVID-19 AGAR TETAP PRODUKTIF
Authors: Utami Indri Sari , Aditya Raka , Aryani Novita Sri , Putri Renny Monica , Amelia Nanda , Septiani Tasyia Aji , Syifaurrohmah  , Widiana Siti , Amelyani Yuni
Published: July 2021

Abstract

During the Covid-19 pandemic there were still many people who ignored health protocols and also many were affected by the economy. Therefore, the student work study (KKM) of Sultan Ageng Tirtayasa University is to provide education to the public to be alert, alert and resilient to face the covid-19 outbreak. The population of activities in Turus village is all residents because the intended target is that all residents can carry out health protocols, and those who are productive can create jobs, and those who are still in school can learn well even at home. The method of implementing this KKM is a program oriented towards community assistance in the economic field, exploring local potential, a combination of online media in preparing human resource potential. Some of the results achieved in this service are the understanding of residents about covid-19, how to prevent and make their own personal protective equipment in the form of masks without sewing machines and hand sanitizers, also providing online tutoring for students, and socializing training on making aquaponics for fish and plant cultivation and help create an online media shop to promote citizen entrepreneurship.

 

Abstrak

Di masa pandemi covid-19 ini masih banyak masyarakat yang mengabaikan protokol kesehatan dan juga banyak yang terdampak perekonomiannya. Oleh karena itu kuliah kerja mahasiswa (KKM) Universitas sultan ageng Tirtayasa adalah memberikan edukasi kepada masyarakat untuk siaga, sigap dan Tangguh menghadapi bencana wabah covid-19. Populasi kegiatan di desa Turus adalah seluruh warga karena sasaran yang dituju adalah seluruh warga dapat menjalankan protokol kesehatan, dan untuk yang produktif dapat membuat lapangan pekerjaan, serta yang masih bersekolah dapat belajar dengan baik meskipun dirumah. Metode pelaksanaan KKM ini yakni program berorientasi kepada pendampingan masyarakat dalam bidang ekonomi, menggali potensi lokal, kombinasi media daring dalam mempersiapkan potensi sumber daya manusia. Beberapa hasil yang dicapai dalam pengabdian ini adalah pemahaman warga mengenai covid-19, cara mencegah hingga membuat sendiri alat pelindung diri berupa masker tanpa mesin jahit dan hand sanitizer, juga memberikan bimbingan belajar online bagi siswa, dan mensosialisasikan pelatihan pembuatan akuaponik budidaya ikan dan tanaman serta membantu membuatkan media online shop untuk mempromosikan wirausaha warga.
AVENIDA DAS FLORES: UM ESTUDO SOBRE AS RUAS DE ESPECIALIDADES NA ÁREA DE SAÚDE EM CUIABÁ – MT
Authors: De Miranda Soares Silva Gabriel , Regina Romancini Sônia
Published: July 2021

A formação das ruas de especialidades em Cuiabá está aliada às transformações socioespaciais que ocorrem na cidade nas últimas décadas. A concentração de produtos e serviços inicia no fim do século XX, e permanece até os dias atuais. Assim, o objetivo deste trabalho é evidenciar o processo de (re)estruturação urbana na cidade de Cuiabá, apontando o surgimento de ruas e avenidas que concentram serviços específicos na área da Saúde. Dentre os procedimentos metodológicos, utilizamos um levantamento bibliográfico e documental, além de atividades de campo, onde se constata a intensa dinâmica de uso do solo na Avenida das Flores, que é caracterizada pela oferta de serviços na área de saúde, que atendem a Cuiabá e municípios que compõem a Região Metropolitana do Vale do Rio Cuiabá.
Deep Reinforcement Learning for Generalizable Field Development Optimization
Authors: He Jincong , Tang Meng , Hu Chaoshun , Tanaka Shusei , Wang Kainan , Wen Xian-Huan , Nasir Yusuf
Published: July 2021

The optimization of field development plans (FDPs), which includes optimizing well counts, well locations, and the drilling sequence is crucial in reservoir management because it has a strong impact on the economics of the project. Traditional optimization studies are scenario specific, and their solutions do not generalize to new scenarios (e.g., new earth model, new price assumption) that were not seen before. In this paper, we develop an artificial intelligence (AI) using deep reinforcement learning (DRL) to address the generalizable field development optimization problem, in which the AI could provide optimized FDPs in seconds for new scenarios within the range of applicability.

In the proposed approach, the problem of field development optimization is formulated as a Markov decision process (MDP) in terms of states, actions, environment, and rewards. The policy function, which is a function that maps the current reservoir state to optimal action at the next step, is represented by a deep convolution neural network (CNN). This policy network is trained using DRL on simulation runs of a large number of different scenarios generated to cover a “range of applicability.” Once trained, the DRL AI can be applied to obtain optimized FDPs for new scenarios at a minimum computational cost.

While the proposed methodology is general, in this paper, we applied it to develop a DRL AI that can provide optimized FDPs for greenfield primary depletion problems with vertical wells. This AI is trained on more than 3×106 scenarios with different geological structures, rock and fluid properties, operational constraints, and economic conditions, and thus has a wide range of applicability. After it is trained, the DRL AI yields optimized FDPs for new scenarios within seconds. The solutions from the DRL AI suggest that starting with no reservoir engineering knowledge, the DRL AI has developed the intelligence to place wells at “sweet spots,” maintain proper well spacing and well count, and drill early. In a blind test, it is demonstrated that the solution from the DRL AI outperforms that from the reference agent, which is an optimized pattern drilling strategy almost 100% of the time. The DRL AI is being applied to a real field and preliminary results are promising.

Because the DRL AI optimizes a policy rather than a plan for one particular scenario, it can be applied to obtain optimized development plans for different scenarios at a very low computational cost. This is fundamentally different from traditional optimization methods, which not only require thousands of runs for one scenario but also lack the ability to generalize to new scenarios.

NOTE: This paper is also published as part of the 2021 SPE Reservoir Simulation Conference Special Issue.
A Comparative study to evaluate the efficacy of Supervised Exercise Program and Cyriax Physiotherapy on pain and function in Lateral Epicondylitis
Authors: Kalaskar Gouri , Sinha R. K. , Phansopkar Pratik
Published: July 2021

Background: A typical musculotendinous degenerative condition of the extensors cause at the humerus lateral epicondyle is known as Lateral epicondylitis. Various treatment methods are used in treating lateral epicondylitis. Methods: Thirty Participants with Lateral Epicondylitis shall be recruited in a comparative experimental study. Subjects will be randomized to either (1) Supervised Exercise Programme group, or (2) Cyriax Physiotherapy group. Over a 4-week time period, a 3 times in week for the total of 12 sessions, immediately following baseline assessment and randomization, subjects in both groups will receive Extensor Carpi Radialis Brevis muscle’s static stretching along with the wrist extensor’s eccentric strengthening and Ultrasound and transverse deep friction massage for 10 min with Mill’s manipulation and Ultrasound respectively. Discussion: Effectiveness of the interventions on the pain and the functional improvement will be assessed by visual analogue scale and the Tennis Elbow Function Scale respectively.
Limited Evidence For Indicator Species of High Floristic Quality Wetlands In The US Southern Plains
Authors: Fouts Tommi S. , Jog Suneeti K. , Bried Jason T.
Published: July 2021

Floristic Quality Assessment requires compiling a full list of vascular plant species for the wetland. Practitioners may lack the time and taxonomic skills for full-community vegetation surveys, especially when wetlands are large and complex. In this paper we broadly ask whether floristic quality indicator species may exist for wetlands, specifically evaluating indicator species potential for high floristic quality wetlands in the US southern plains region. Indicators were identified for a broader context (wetlands in Oklahoma prairie ecoregions) and narrower context (depressional wetlands in the northern Central Great Plains ecoregion of Oklahoma) based on indicator value, indicator validity, hydrophytic status, and ecological conservatism. No candidate indicators satisfied all criteria for high floristic quality. Indicator values improved with increasing spatial-environmental context, but many candidates occurred too frequently in non-high quality sites or too infrequently in high quality sites, relative to predicted rates. The best performing indicator (Eleocharis compressa) lacked validity in the broader context and showed high false-positive rates in the narrower context. Combining E. compressa with select other candidates (Amorpha fruticosa, Juncus torreyi, Leersia oryzoides, Schoenoplectus pungens) may compensate for weaknesses but the combinations may rarely be found across the region. Overall, these results do not support relying on indicator species to rapidly identify or verify high floristic quality wetlands in the US southern plains. We recommend similar studies in other regions and testing other quality levels (low, moderate) before broadly concluding that floristic quality indicator species do not exist for wetlands.
Mid-Infrared Polarization Beam Splitter based on Square/circular Hybrid Air Holes with Wide Bandwidth and Ultrashort Length
Authors: Zheng Guangming
Published: July 2021

A novel mid-infrared polarization beam splitter (PBS) based on GaS is proposed. The high birefringence is achieved by using the cladding structure of alternating arrangement of square and circular air holes as well as introducing double elliptical air holes. The finite element method (FEM) is utilized to investigate the mode coupling characteristics in the proposed PBS. The results show that the highest extinction ratio of 115 dB and shortest length of only 40 µm can be realized at a wavelength of 4 µm. A wide bandwidth of 200 nm ranging from 3.9µm to 4.1µm is obtained.
Detection of Hypermethylation BRCA1/2 Gene Promotor in Breast Tumors Among Moroccan Women
Authors: Saif Imane , Bouziyane Amal , Benhessou Mustapha , karroumi Mohamed El , Ennaji Moulay Mustapha
Published: July 2021

Background: The promoter region is a key element of gene expression regulation. In mammals, most of the genes present, at the level of their promoter, a large number of islands CpG. Age is seen as another factor promoting breast cell cancer and the tumor stage. Aim: this study aimed to explore the hypermethylation of the BRCA1/2 promoter gene in breast cancer women and correlation with age and tumor stage.Materials and methods: fifty biopsies were derived from Moroccan women treated for breast carcinoma, the DNA extracted was treated by bisulphite and the targeted BRCA1/2 Amplicons were amplified by specific methylation primers (MSP). Results: the result shows that 62% of the samples were BRCA1 methylated in addition and negative result for BRCA2, these positive epigenetic factor were remarkable in women over 47 years and at the stage of malignant tumor.Conclusion: these results show that half of the methylated samples are positive and the majority are over 47 years old, and confirms the impact of age on methylation and might be other factor of breast cancer development.
The Effect of Fractional Damping and Time-delayed Feedback on the Stochastic Resonance of Asymmetric SD Oscillator
Authors: Wang Qiubao , Wu Hao , Yang Yuejuan
Published: July 2021

This paper proposes the stiffness nonlinearities and asymmetric SD (smooth and discontinuous) oscillators under time-delay feedback control with a fractional damping. With the effect of displacement and velocity feedback, the oscillator is adjusted to the desired vibration state and then the stochastic resonance (SR) is achieved. This article discusses the contribution of various system parameters and time-delay feedback to SR, especially which induced by fractional damping. It should be noted that this paper provides effective guidance for fault diagnosis and weak signal detection, energy harvesting, vibration isolation and vibration reduction.
Atherosclerosis Amelioration by Allicin in Raw Garlic through Gut Microbiota and Trimethylamine-N-Oxide Modulation
Authors: Sheen Lee-Yan , Panyod Suraphan , Wu Wei-Kai , Chen Pei-Chen , Chong Kent-Vui , Yang Yu-Tang , Chuang Hsiao-Li , Chen Chieh-Chang , Chen Rou-An , Liu Po-Yu , Chung Ching-Hu , Huang Huai-Syuan , Lin Angela Yu-Chen , Shen Ting-Chin David , Yang Kai-Chien , Huang Tur-Fu , Hsu Cheng-Chih , Ho Chi-Tang , Kao Hsien-Li , Orekhov Alexander , Wu Ming-Shiang
Published: July 2021

Cardiovascular disease (CVD) is strongly associated with the gut microbiota and its metabolites, including trimethylamine-N-oxide (TMAO) formed from ʟ-carnitine. Raw garlic juice, with allicin as its primary compound, has been shown to powerfully impact the gut microbiota. This study validated the benefits of raw garlic juice against CVD risk via modulation of the gut microbiota and its metabolites. Allicin supplementation significantly decreased serum TMAO in ʟ-carnitine-fed C57BL/6J mice. It also reduced aortic lesions and altered the fecal microbiota in carnitine-induced, atherosclerosis-prone, apolipoprotein E-deficient mice. In human subjects exhibiting high TMAO production, raw garlic juice intake for a week reduced TMAO formation, improved gut microbial diversity, and increased the relative abundances of beneficial bacteria. In in vitro study, raw garlic juice inhibited γ-butyrobetaine (γBB) and trimethylamine (TMA) production by the gut microbiota. Thus, raw garlic juice can potentially prevent cardiovascular disease by decreasing TMAO production through gut microbiota modulation.
Can Electric Fields Drive Chemistry for an Aqueous Microdroplet?
Authors: Hao Hongxia , Leven Itai , Head-Gordon Teresa
Published: July 2021

Reaction rates of common organic reactions have been reported to increase by one to six orders of magnitude in aqueous microdroplets compared to bulk solution, but the reasons for the rate acceleration are poorly understood. We investigate the role of electric fields at water droplet surfaces that might explain the promotion of unusual reactive chemistry, along with changes in electric field profiles as a function of excess charge to model the electrospray fragmentation process. We find that electric field alignments along free O-H bonds at the surface yield field strength distributions that are ~30 MV/cm larger on average than that found for O-H bonds in the interior of the water droplet, consistent with greater surface reactivity. We emphasize the importance of both nuclear and electronic effects at the surface, and the non-linear coupling of intramolecular solute polarization with intermolecular solvent modes, as a necessary feature for predicting the higher field strengths at water droplet surfaces.
Nexus Among Energy Consumption Structure, Energy Intensity, Population Density, Urbanization And Carbon Intensity: A Heterogeneous Panel Evidence Considering Differences In Electrification Rates
Authors: Sun Jingqi , Guo Xiaohui , Wang Yuan , Shi Jing , Zhou Yiquan , Shen Boyang
Published: July 2021

In this paper, the clustering method is used to divide the 30 provinces of the country into high, medium and low electrification rates according to the electrification rate from 2000 to 2017. The heterogeneous panel technology is used to analyze the relationship of energy consumption structure, energy intensity, population density, urbanization rate and carbon intensity. According to Cross-sectional dependence(CD) test and cross-section Im-Pesaran-Shin (CIPS) test results, the data of each panel are not in the form of same order single integer, so α convergence analysis, β absolute convergence, and β conditional convergence analysis are required. The results show that the carbon intensity of the four panels shows an α convergence; the β absolute convergence shows there is a “catch-up effect”; β conditional convergence indicates that the carbon intensity approaches their respective steady state levels; there is a long-term equilibrium relationship of energy consumption structure, energy intensity, population density and carbon intensity in all panels, but the urbanization rate has a significant impact on carbon intensity only in areas with high electrification rates. Finally, based on the results of empirical research, policy recommendations for reducing the carbon intensity in different regions are proposed.
Relation Between The Roughness, Linear Entropy and Visibility of A Quantum State, The Jaynes-Cummings Model.
Authors: de Oliveira Adélcio Carlos , Reis Mauricio
Published: July 2021

In this work, an analysis of the Jaynes-Cummings Model is conducted in the parameter spaces, composed of Roughness, Concurrence/Linear Entropy and Visibility. The analysis was carried out without including the effects of the environment and with the inclusion of a dispersive environment. As Roughness measures the state’s degree of non-classicality, its inclusion in the analysis allows to identify points in the dynamics that are not usually perceived by traditional analysis. It is observed that the parameter space is almost completely occupied when the dispersive term is small, and is concentrated in the region of less roughness and less purity as the dispersive coefficient is increased.
Molecular Characterization And Ecotoxicological Evaluation of The Natural Dye Madder And Its Chlorinated Products
Authors: Freeman Harold S. , Santos Tuane C. dos , Chen Yufei , Vendemiatti Josiane A.S. , de Oliveira Adria C. , Vacchi Francine I. , Vinueza Nelson R. , Umbuzeiro Gisela A.
Published: July 2021

There has been increased interest in the use of natural dyes for textile coloration as alternatives to synthetic dyes, due to the general belief that natural dyes are more environmentally friendly. However, natural dyes have poor affinity for textiles, which can lead to high dye levels in the resultant wastewater. While chlorine treatment has proven to be effective for dye wastewater disinfection and decolorization, this process can also lead to the formation of more toxic degradation products for certain synthetic dyes. On the other hand, little information is available regarding the ecotoxicity of natural dyes and their chlorination products. To advance knowledge in this area, madder was selected due to its historical importance and wide application in the textile industry. Specifically, we sought to characterize the chlorine-induced degradation products of an aqueous madder solution and to assess their ecotoxicity. The main component of the present madder sample was Alizarin (89.8%). Chlorination led to complete decolorization, and 2-hydroxynaphthalene-1,4-dione and phthalic anhydride were identified as key degradation products. Chlorination of madder decreased toxicity to Daphnia similis (microcrustacean) 10-fold and removed the toxicity to Raphidocellis subcapitata (algae), when compared to the parent dye.
Environmental Monitoring and Potential Health Risk Assessment from Pymetrozine Exposure among Communities in Typical Rice–Growing Areas of China
Authors: Tudi Muyesaier , RUAN Huada Daniel , Tong Shuangmei , wang li , Atabila Albert , Sadler Ross , Connell Des , Phung Dung Tri
Published: July 2021

Pymetrozine is one of the most common insecticides used in China. This study was conducted to analyse Pymetrozine’s potential exposures through various environmental routes beyond the treatment area. The aim was to estimate the potential health risk for communities due to non-dietary exposure to Pymetrozine in soil and paddy water. Data on registration of pesticides in China, government reports, questionnaires, interviews, literature reviews as well as toxicological health investigations were evaluated to determine the hazard and dose-response characteristics of Pymetrozine. These were based on the US EPA exposure and human health risk assessment methods using exposure from soil and paddy water samples collected between 10 to 20 meters around the resident’s location.The potential exposures from dermal contact through soil and paddy water were estimated. The potential cancer risk from the following routes was evaluated: the ingestion through soil; dermal contact exposure through soil; dermal contact exposure through paddy water; and the potential total cancer risk for residents was less than 1*10− 6. These were within the acceptable risk levels. The potential hazard quotient (HQ) from acute and lifetime exposure by dermal contact through paddy water and soil; acute and lifetime exposure by soil ingestion for residents were less than 1, indicating an acceptable risk level, thus both potential cancer risk and hazard quotient (HQ) were relatively low. Potential human health risk assessment of Pymetrozine in soil and paddy water suggested that negligible cancer risk and non-cancer risk based on ingestion and dermal contact are the main potential routes of exposure to residents.
WITHDRAWN: A Hybrid Methodology for Flower Images Segmentation & Recognition with extended Deep-Convolution Neural Network (CNN)
Authors: Rathore Neeraj Kumar , Jaiswal Varshali , Sharma Varsha , Varma Sunita
Published: July 2021

Deep-Convolution Neural Network (CNN) is the branch of computer science. Deep Learning CNN is a methodology that teaches computer systems to do what comes naturally to humans. It is a method that learns by example and experience. This is a heuristic-based method to solve computationally exhaustive problems that are not resolved in a polynomial computation time like NP-Hard problems. The purpose of this research is to develop a hybrid methodology for the detection and segmentation of flower images that utilize the extension of the deep CNN. The plant, leaf, and flower image detection are the most challenging issues due to a wide variety of classes, based on their amount of texture, color distinctiveness, shape distinctiveness, and different size. The proposed methodology is implemented in Matlab with deep learning Tool Box and the dataset of flower image is taken from Kaggle with five different classes like daisy, dandelion, rose, tulip, and sunflower. This methodology takes an input of different flower images from data sets, then converts it from RGB (Red, Green, Blue) color model to the L*a*b color model. L*a*b has reduced the effort of image segmentation. The flower image segmentation has been performed by the canny edge detection algorithm which provided better results. The implemented extended deep learning convolution neural network can accurately recognize varieties of flower images. The learning accuracy of the proposed hybrid method is up to 98% that is maximizing up to + 1.89% from state of the art.
Isolation and Sequencing of a Single Copy of an Introgressed Chromosome From a Complex Genome for Gene and SNP Identification
Authors: Metcalfe Cushla J , Li Jingchuan , Zheng Bangyou , Stiller Jiri , Healey Adam , Piperidis Nathalie , Aitken Karen S
Published: July 2021

The large complex genomes of many crops constrain the use of new technologies for genome-assisted selection and genetic improvement. One method to simplify a genome is to break it into individual chromosomes by flow cytometry, however, in many crop species most chromosomes cannot be isolated individually. Flow sorting of a single copy of a chromosome has been developed in wheat and here we demonstrate its use to identify markers of interest in an Erianthus/Sacchurum hybrid. Erianthus/Saccharum hybrids are of interest because Erianthus is known to be highly resistant to soil borne diseases which cause extensive sugarcane yield losses in Australia. Sugarcane (Saccharum) cultivars are autopolyploids with a highly complex genome and over 100 chromosomes. Flow cytometry for sugarcane, as in most crops, does not resolve individual chromosomes to a karyotype peak for sorting. To isolate a single chromosome, we used genomic in situ hybridisation (GISH) to identify the flow karyotype region containing the Erianthus chromosomes, flow sorted single chromosomes from this region, PCR screened for the Erianthus chromosomes and sequenced them. One Erianthus chromosome amplified and sequenced well, and from this data we could identify 57 resistant type genes and SNPs in nearly half of these genes. We developed KASP SNP assays and demonstrated that the identified SNP markers segregated as expected in a small introgression population. The pipeline we developed here to flow sort and sequence single chromosomes could be used in any crop with a large complex genome to rapidly discover and develop markers to important loci.
The Additional Value of Lung Cancer Screening Program in Identifying Unrecognized Diseases
Authors: Finamore Panaiotis , Tanese Luigi , Longo Filippo , De Stefano Domenico , Pedone Claudio , Angelici Laura , Agabiti Nera , Cascini Silvia , Davoli Marina , Zobel Bruno Beomonte , Incalzi Raffaele Antonelli , Crucitti Pierfilippo
Published: July 2021

Background: A systematic examination of low-dose CT (LDCT) scan, beside lung nodules, may disclose the presence of undiagnosed diseases, improving the efficacy and the cost/efficacy of these programs. The study was aimed at evaluating the association between LDCT scan findings and non-oncologic and oncologic diseases.Methods: The LDCT scan of participants to the “Un Respiro per la vita”® lung cancer screening program were checked and abnormal findings, beside lung nodules, recorded. First admission to the acute care because of cardiovascular (CD), respiratory (RD) and oncological diseases (OD) in the following three years were retrieved. The association of LDCT scan abnormal findings with CD, RD and OD was assessed through univariable and multivariable logistic regression models.Results: Mean age of 746 participants was 62 years (SD:5), 62% were male. 11 (1.5%) received a diagnosis of lung cancer. 16.1% participants were admitted to the acute care in the following three years: 8.6% for CD, 4.3% for RD and 5.2% for OD. Valve calcification (OR 2.02, p:0.02) and mucus plugs (OR 3.37, p:0.04) were positively associated with CD, while sub-pleural fibrosis had a protective role (OR 0.47, p:0.01). Lung nodules >8 mm (OR 5.54, p:<0.01), tracheal deviation (OR 6.04, p:0.01) and mucus plugs (OR 4.00, p:0.04) were positively associated with OD admissions. Centrilobular emphysema OR for RD admissions was 1.97 (p:0.06).Conclusions: Selected LDCT scan findings are harbingers of undiagnosed CD, RD and OD, even different from lung cancer, whom knowledge might improve the efficacy and cost/efficacy of lung cancer screening programs.
Predicted No-Effect Concentration of Roundup in the Composition with Pharmaceutical Chlorpromazine or Heating Causes Similar Biochemical Disturbances in Bivalve Mollusk Unio Tumidus
Authors: Khoma Vira , Martinyuk Viktoria , Matskiv Tetyana , Gnatyshyna Lesya , Baranovsky Vitaliy , Gladiuk Mykola , Gylytė Brigita , Manusadžianas Levonas , Stoliar Oksana
Published: July 2021

The ability of bioindicators to reflect the specific impacts in complex exposures is unpredicted. This study aimed to track the particular effects of pesticide Roundup (Rn) and antipsychotic drug chlorpromazine (Cpz) on the mussel Unio tumidus at environmentally relevant mixtures. The mussels were treated by Rn (17 µg L−1), Cpz (18 µg L−1), mixture of Rn and Cpz at 18 oC (RnCpz) as well as by Rn at 25 oC (RnT). Digestive glands were examined after 14 days of exposure. The indexes of stress response (total antioxidant capacity, glutathione (GSH&GSSG), metallothioneins (MTSH and Zn-MT), protein carbonyls levels), and markers of metabolic and detoxication (CYP450 related (EROD), Glutathione S-transpherase (GST), cholinesterase, caspase-3, citrate synthase (CS) activities), lysosomal membrane integrity, and Zn level were analyzed. Mostly common responses of mussels were indicated as the increase of oxidative stress, MTSH (except Cpz-group), EROD and CS (except Rn-group) responses. Rn-group indicated almost no-effect or abnormal for expected symptoms effect. However, under the heating Rn caused the decrease of Zn accumulation and loss of lysosomal integrity. Cpz provoked major response diverseness: a decrease in Zn and GST levels and an increase in lysosomal integrity. Thus, complex exposures abolished the individual response traits. Summarising, the application of integrated indices has benefits when evaluating the effects of complex exposures.
Research on building truss design based on particle swarm intelligence optimization algorithm
Authors: Sun Yulong , Li Hongjuan , Shabaz Mohammad , Sharma Amit
Published: July 2021

Optimization methodologies are being utilized in various structural designing practices to solve size, shape and topology optimization problems. A heuristic Particle swarm optimization (HPSO) algorithm was anticipated in this article in order to address the size optimization problem of truss with stress and displacement constraints. This article contributes in improvisation in the truss structure design rationality while reducing the engineering cost by proposing the HPSO approach. Primarily, the basic principle of the original PSO algorithm is presented, then the compression factor is established to improve the PSO algorithm, and a reasonable parameter setting value is presented. To validate the performance of the proposed optimization approach, various experimental illustrations were performed. The results show that the convergence history of experimental illustration 2 and experimental illustration 3 is optimal. The experimental illustration 2 converges after about 150 iterations, however, the experimental illustration 3 is close to the optimal solution after about 500 iterations. Therefore, the PSO algorithm can successfully optimize the size design of truss structures, and the algorithm is also time efficient. The improved PSO algorithm has good convergence and stability, and can effectively optimize the size design of truss structures.
A Bayesian Machine Learning Approach for Spatio-Temporal Prediction of COVID-19 Cases
Authors: Niraula Poshan , Mateu Jorge , Chaudhuri Somnath
Published: July 2021

Modeling the behavior and spread of infectious diseases on space and time is key in devising public policies for preventive measures. This behavior is so complex that there are lots of uncertainties in both the data and in the process itself. We argue here that these uncertainties should be taken into account in the modeling strategy. Machine learning methods, and neural networks, in particular, are useful in modeling this sort of complex problems, although they generally lack of probabilistic interpretations. We thus present here a neural network method embedded in a Bayesian framework for modeling and predicting the number of cases of infectious diseases in areal units. A key feature is that our combined model considers the impact of human movement on the spread of the infectious disease, as an additional random factor to the also considered spatial neighborhood and temporal correlation components. Our model is evaluated over a COVID-19 dataset for 245 health zones of Castilla-Leon (Spain). The results show that a Bayesian model informed by a neural network method is generally able to predict the number of cases of COVID-19 in both space and time, with the human mobility factor having a strong influence on the model.
Crystallization of Bosonic Quantum Hall States
Authors: Mukherjee Biswaroop , Shaffer Airlia , Patel Parth , Yan Zhenjie , Wilson Cedric , Crepel Valentin , Fletcher Richard , Zwierlein Martin
Published: July 2021

The dominance of interactions over kinetic energy lies at the heart of strongly correlated quantum matter, from fractional quantum Hall liquids, to atoms in optical lattices and twisted bilayer graphene. Crystalline phases often compete with correlated quantum liquids, and transitions between them occur when the energy cost of forming a density wave approaches zero. A prime example occurs for electrons in high magnetic fields, where the instability of quantum Hall liquids towards a Wigner crystal is heralded by a roton-like softening of density modulations at the magnetic length. Remarkably, interacting bosons in a gauge field are also expected to form analogous liquid and crystalline states. However, combining interactions with strong synthetic magnetic fields has been a challenge for experiments on bosonic quantum gases. Here, we study the purely interaction-driven dynamics of a Landau gauge Bose-Einstein condensate in and near the lowest Landau level. We observe a spontaneous crystallization driven by condensation of magneto-rotons, excitations visible as density modulations at the magnetic length. Increasing the cloud density smoothly connects this behaviour to a quantum version of the Kelvin-Helmholtz hydrodynamic instability, driven by the sheared internal flow profile of the rapidly rotating condensate. At long times the condensate self-organizes into a persistent array of droplets, separated by vortex streets, which are stabilized by a balance of interactions and effective magnetic forces.
Application of Hydrochemical and Isotopic Data to Determine The Origin and Circulation Conditions of Karst Groundwater in An Alpine and Gorge Region in The Qinghai–Xizang Plateau: A Case Study Of Genie Mountain
Authors: Ma Jianfei , Li Xiangquan , Liu Feng , Fu Changchang , Zhang Chunchao , Bai Zhanxue , Wei Shuaichao
Published: July 2021

Understanding of the recharge origin, runoff channels, and discharge characteristics of karst groundwater is very important for construction of underground projects and identification of water supply targets. Complex structural systems, lithological differences, and extreme heterogeneity of aquifers combine to create a complex karst aquifer structure in alpine and gorge areas; however, because of the topography, direct investigation of aquifer structure is difficult. In this study, field survey, hydrochemical, and isotopic data are analyzed to reveal the development of karst groundwater and to describe the karst water cycle in Genie Mountain, Qinghai–Xizang Plateau. The results show that atmospheric precipitation and melting ice and snow are the groundwater recharge sources, and groundwater circulation is shallow, with groundwater ages generally no more than 60 yr. The groundwater cycle can be divided into three levels: epikarst water circulation; mid to deep karst water circulation; and deep geothermal water circulation. The karst springs located in the outlet of the Huolong gully contain markedly higher levels of Na + and SO 4 2 − than other karst springs because of the leaching effect of groundwater on mirabilite. The presence of evaporites also indicates that the groundwater of Huolong gully is influenced by evaporation. The runoff of thermal springs undergoes deep circulation and is controlled by faults. This water mainly dissolves carbonate rock, with little influence of evaporation. This study shows that hydrochemical and isotopic methods can be used to discriminate different water types, and can be applied to study the characteristics of complex groundwater runoff in alpine and gorge areas.
The Arctic has warmed four times faster than the globe since 1980
Authors: Rantanen Mika , Karpechko Alexey , Lipponen Antti , Nordling Kalle , Hyvärinen Otto , Ruosteenoja Kimmo , Vihma Timo , Laaksonen Ari
Published: July 2021

In recent decades, the warming in the Arctic has been much faster than in the rest of the world, a phenomenon known as Arctic amplification (AA). Numerous studies report that Arctic is warming either twice, more than twice, or even three times as fast as the globe on average. However, the lack of consensus of AA definition precludes its precise quantification. Here we show, by using several observational datasets which cover the Arctic region and adopting a simple definition of AA, that during the last 40 years the Arctic has been warming almost four times faster than the globe as a whole, which is a higher ratio than generally reported in literature. Furthermore, we compared the observed AA ratio to the ratio simulated by state-of-the-art climate models, and show that the models largely underestimate the present AA, a finding that is not very sensitive to the exact definition of AA. The underestimation of AA by climate models most likely results from their inability to realistically simulate feedback mechanisms between sea ice melt and atmospheric temperatures. Our results imply that the underestimated AA leads to biased projections of climate change both in the Arctic and mid-latitudes.