bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantifying the contribution of uncertainty sources of artificial neural network models using ANOVA for reservoir power generation
Authors: Jiang Wenhang , Liu Jiufu , Peng Anbang , Liu Guodong , Zhang Rong 
Published: December 2022

AbstractThere are many sources of uncertainty in reservoir operation. The presence of these uncertainties might lead to operation risks, which directly affect the comprehensive benefit of reservoirs. This study developed a simple framework to quantify the uncertainty contribution arising from the inputs, model structures, model parameters, and their interaction in the reservoirs. We established a deterministic reservoir operations model with the intention of maximizing power generation, and the scheduling results with the inputs and optimal output datasets were used for data-driven models – artificial neural networks (ANNs). The time period, inflow, storage, and inflow in the last period were chosen as input, integrating with ANN models of different structures and parameters, to produce an ensemble of 10-day forecasts of power generation. The analysis of variance (ANOVA) method was applied to quantify the contribution of the uncertainty sources. The results demonstrated that the inputs were the predominating source of uncertainty in the reservoir operation, especially from May to October. In addition, the uncertainty caused by the interactions between the three sources of uncertainty was more considerable than that of the model structure or parameter in November–April, and the uncertainty contributions of the model structure or parameter were relatively marginal.
Desalination of saline fields by soil leaching in the Karkhehnur Watershed, Iran
Authors: Shariati Behruzi Hamid , Najafi Payam , Chavoshi Elham , Honarjoo Naser 
Published: December 2022

Abstract
Since large parts of agricultural fields are saline or subjected to salinity stress, practical and efficient methods may be used for recycling fields, worldwide. The effects of the type and amount of soil leaching on the quality of saline fields, in different parts of the world have yet to be investigated. The objectives were to investigate: (1) the optimum depth of water required to decrease soil salinity of saline fields to the levels, suitable for crop production in the Karkhehnur Watershed, Khuzestan province, Iran, and (2) the most suitable method of soil surface leaching. Four different regions were selected for the experiment, and a wide range of soil-related parameters as well as water properties was determined. Soil leaching was conducted by surface continuous irrigation (three regions), and surface alternative irrigation (one region). The depths of soil leaching were equal to 0–25, 25–50, 50–75, 75–100, 100–125, and 125–150 cm. The class of salinity was changed to S2 (EC = 24 dS/m) from an initial class of S4 (EC = 87 dS/m) using a water depth of 25–125 cm in different experimental regions. If soil is highly saline, continuous irrigation may be a more effective method, however, under less stressful conditions, alternative irrigation can also be recommendable.
Analysis of the spatial and temporal evolution of water and soil resource carrying capacity in arid region of northwest China
Authors: Xu Cundong , Wang Xin , Liu Zijin , Hu Xiaomeng , Tian Junjiao , Zhao Zhihong , Ren Zihao 
Published: December 2022

AbstractThe spatial and temporal evolution process of the water and soil resource carrying capacity in artificial oases in the arid zone of China was accurately revealed. This study constructs a water and soil resource analysis system based on system dynamics. It integrates cloud theory and hierarchical analysis to analyze the evolutional trend of the water and soil resource carrying capacity in irrigation areas. The spatial analysis technique was used to obtain a raster map of the spatial and temporal characteristics of the influencing factors, and analyze the evolutionary characteristics of the water and soil resources carrying capacity by integrating multi-source data. The results showed that: (1) the evaluation clouds of water and soil resources carrying capacity in 2002, 2010, and 2018 were (0.5034, 0.0236, 0.0071), (0.5586, 00218, 0.0062), and (0.5989, 0.0249, 0.0061), respectively. This showed that the carrying capacity of water and soil resources was transitioning from ‘critical bearing’ to ‘good bearing’, but the evolution rate was gradually decreasing; (2) from 2002 to 2018, the size of the ‘good bearing’ area increased by 8.38%, while the size of the ‘severe bearing’ area decreased by 6.4%; (3) the degree of dramatic evolution of the carrying capacity of water and soil resources is: continuous change &gt; pre-change &gt; post-change &gt; continuous stable &gt; repeated change; (4) the serious carrying capacity area shows a spatial pattern of decreasing in an arc from the town to the surrounding areas. The results showed that water and soil resource-carrying capacity of the irrigation area shows a healthy and continuous spatial and temporal evolution trend.
Optimal allocation of irrigation water in a single-reservoir and a single-pumping-station system under deficit irrigation conditions
Authors: Wei Cong , Cheng Jilin 
Published: December 2022

Abstract
Aiming at the optimal allocation of irrigation water in a multi-water source project in a water resource shortage area, this study developed a water resource joint scheduling optimization model for the reservoir and the pumping station under deficit irrigation conditions. In the model, the maximum annual yield of the irrigation area was the objective function; the water supply, water spill of the reservoir and replenishment water of the pump station at each stage were the decision variables; and the total annual water supply of the system, the reservoir operation criteria, the water rights of the pumping station, and the water demand of the crop during the entire growth period were the constraint conditions. According to the characteristics of the model, a large system decomposition aggregation dynamic programming (DADP) method is proposed to transform the N + 1 dimensional dynamic programming problem into a N + 1 one-dimensional dynamic programming problem for solution. In addition, this study also uses the real-coded genetic algorithm (RGA) and DADP to compare the algorithms, and discusses the performance of the two algorithms from the optimization of the algorithm and the applicability of the algorithm.
Bioaugmentation enhance the bioremediation of marine crude oil pollution: Microbial communities and metabolic pathways
Authors: Gao Yu , Cai Mengmeng , Shi Ke , Sun Rui , Liu Suxiang , Li Qintong , Wang Xiaoyan , Hua Wenxin , Qiao Yanlu , Xue Jianliang , Xiao Xinfeng 
Published: December 2022

Abstract
Bioaugmentation is an effective strategy used to speed up the bioremediation of marine oil spills. In the present study, a highly efficient petroleum degrading bacterium (Pseudomonas aeruginosa ZS1) was applied to the bioremediation of simulated crude oil pollution in different sampling sites in the South China Sea. The metabolic pathways of ZS1 to degrade crude oil, the temporal dynamics of the microbial community response to crude oil contamination, and the biofortification process were investigated. The results showed that the abundance and diversity of the microbial community decreased sharply after the occurrence of crude oil contamination. The best degradation rate of crude oil, which was achieved in the samples from the sampling site N3 after the addition of ZS1 bacteria, was 50.94% at 50 days. C13 alkanes were totally oxidized by ZS1 in the 50 days. The degradation rate of solid n-alkanes (C18–C20) was about 70%. Based on the whole genome sequencing and the metabolites analysis of ZS1, we found that ZS1 degraded n-alkanes through the terminal oxidation pathway and aromatic compounds through the catechol pathway. This study provides data support for further research on biodegradation pathways of crude oil and contributes to the subsequent development of more reasonable bioremediation strategies.
Effect of Aging on Deferasirox Therapy in Transfusion-dependent Patients. A Prospective-
Retrospective, Cohort-study
Authors: Marini Valeria , Pinto Valeria Maria , Stella Manuela , Fucile Carmen , Lantieri Francesca , Luci Giacomo , Gianesin Barbara , Bacigalupo Lorenzo , Forni Gian Luca , Mattioli Francesca 
Published: December 2022

Background:
Iron-chelation therapy is life-saving in patients on a chronic transfusion regimen as it reduces organ damage related to iron deposition in the tissues. Deferasirox, an iron-chelator, is characterized by pharmacokinetics variability, and some patients may discontinue the treatment due to toxicities.

Objective:
Understanding whether deferasirox plasma levels are related to patients' specific characteristics could help optimize DFX dosage.

Methods:
We analyzed deferasirox plasma concentration in 57 transfusion-dependent anemic patients using the HPLC method in this prospective-retrospective cohort study. All outpatients (3 to 98 years) were treated with deferasirox (film-coated tablet) for at least one year (median dose, 16.5 mg/Kg once a day). Deferasirox plasma concentration was normalized for dose/Kg (C/dose) and corrected with a linear regression model that relates C/dose and the time of blood sampling (Cref/dose).

Results:
No significant differences in Cref/dose were found between males and females, either between different types of hemoglobinopathies or depending on the presence of the UGT1A1*28 polymorphism. Cref/dose has a positive and significant correlation with age, creatinine, and direct bilirubin. Cref/dose, instead, has a negative and significant correlation with Liver Iron Concentration (LIC), ferritin, and eGFR. Cref/dose was significantly different between three age categories <18yrs, 18-50yrs, and >50yrs, with Cref/dose median values of 1.0, 1.2, and 1.5, respectively.

Conclusion:
The study evidenced that to ensure the efficacy of deferasirox in terms of control over LIC and, at the same time, a lesser influence on renal function, the dose of the drug to be administered to an elderly patient could be reduced.
The Role of Genetics and Synergistic Effect of Targeting Common Genetic
Mutations in Acute Lymphoblastic Leukemia (ALL)
Authors: Pilehvari Niloofar , Katoueezadeh Maryam , Hassanshahi Gholamhossein , Torabizadeh Seyedeh Atekeh , Torabizadeh Seyed Mohammad 
Published: December 2022

Abstract:
Increasing concern regarding non-treatment and relapse in Acute Lymphoblastic Leukemia
(ALL) among children and adults has attracted the attention of researchers to investigate
the genetic factors of ALL and discover new treatments with a better prognosis. Nevertheless, the
survival rate in children is more than in adults; therefore, it is necessary to find new potential molecular
targets with better therapeutic results. Genomic analysis has enabled the detection of different
genetic defects that are serious for driving leukemogenesis. The study of genetic translocation
provides a better understanding of the function of genes involved in disease progression. This
paper presents an overview of the main genetic translocations and dysregulations in the signaling
pathways of ALL. We also report the inhibitors of these main translocations and evaluate the synergistic
effect of chemical inhibitors and gamma-ray irradiation on ALL.
Role of the Clinical Data Managers During the COVID-19 Pandemic: An
Overview
Authors: Sajja Rishitha 
Published: December 2022

Background:
The COVID-19 pandemic has significantly changed the implementation of clinical trials. A large focus has been directed on clinical trial design, timeline, and best practices. It has led clinical trial study teams to update the existing processes and perform a risk assessment to mitigate the impact of the COVID-19 pandemic according to ICH-GCP (Good Clinical Practice) requirements. Data management plays a crucial role in understanding the study team's needs and developing innovative solutions. The Clinical Data Manager (CDM) is a core clinical trial Study Team member, responsible for promptly collecting, managing, and delivering complete, high-quality data.

Objective:
The COVID-19 pandemic required the Clinical Data Manager(CDM) to respond to changing needs by adapting data collection tools, data review strategies, and data management processes to answer new questions and address new challenges. CDMs became responsible for identifying how the COVID-19 pandemic impacted current data management processes and documentation and implementing changes to reflect new ways of working. The present article reviews the impact of the COVID-19 pandemic on clinical trials and the solutions adopted by the Clinical Data manager.

Conclusion:
The collection of COVID-19-related data points provides a better understanding of patient safety during the pandemic and proactively fulfills the growing regulatory interests. Strategies and innovative solutions adopted by the Clinical Data Manager serve as guidance for the clinical research team during the crisis to make the trials more robust and patient-centered.
Heat Stress Nephropathy: What Have We Learned?
Authors: Singh Gurfateh , Jaswal Priya , Basu Jhilli , Kaur Devinder 
Published: December 2022

Abstract:
The unbearable heat waves that we are experiencing these days around the world are the
result of increasing global warming, leading to heat stress and a constant health issue for the existing
population. The thermoregulatory dysfunction of the human body due to climatological changes might
result in fluid and electrolyte imbalance and transforms the human body from a normal physiological
condition to a distorted pathological state. Subsequently, at one point in time, the human body may fail
to handle its normal thermoregulatory function in the form of sudden unconsciousness and health defects.
There might be associated dehydration that imposes renal damage, even to the extent to cause
acute kidney injury (AKI), followed by chronic kidney disease (CKD). Thus, we cannot deny CKD as
a major cause of death, mainly in patients having long-standing medical issues such as cardiac dysfunction,
hypertension, diabetes, and obesity, heat stress nephropathy (HSN) might therefore become
a major health problem. There is always a hopeful way in our hands, fortunately, which is of course
prevention, that comes through government policies and human awareness. The present review brings
out light on the alarming resultant facts of heat stress, dehydration, its pathology, molecular derangements,
and recommendations for the prevention of heat stress nephropathy.
Changes in Households’ Welfare and Consumption Patterns among Jenitri (Elaeocarpus ganitrus) Farmers in Kebumen Regency - Central Java
Authors: Marini Tri , Nurhadi Nurhadi , Yuhastina Yuhastina 
Published: December 2022

This research aims at analyzing changes on the welfare level and consumption patterns among Jenitri (Elaeocarpus ganitrus) farmers in Pujotirto, Karangsambung, Kebumen regency of Centra Java- Indonesia. Using mix-method, this research combined quantitative method and that of qualitative. Quantitative data was collected by a survey involving 20 respondents which were selected purposively. Qualitative data was collected by a series of in-depth interviews with farmers and traders of jenitri. Quantitative data was analyzed descriptively. Interview data was transcripted and analyzed by using domain analysis technique. The research resulted in following conclusions: (1) the cultivation of jenitri has brought about significant changes in farmers’ welfare; (2) the raised welfare level affects the pattern of household’s consumption; (3) prior to cultivating jenitri, farmers’ household tend to be subsistence-oriented; (4) now that they cultivate jenitri, they are driven to meet secondary and tertiary needs, such as motorcycles and jewelries.
NEVİN ÇOKAY ESERLERİNİN SANAT VE İLETİŞİM BAĞLAMINDA İNCELENMESİ
Authors: YAYAN Gonca , IŞIK Derya 
Published: December 2022

Geçmişten günümüze kadar insanoğlunun inanç, istek ve duygularını ifade edebilmek arzusu ile toplumlar arasında birbiriyle kültürel açıdan etkileşim ve iletişimde bulunarak kendine özgü bir sanat anlayışını ortaya çıkarmıştır. Toplumlardaki bu sanat anlayışı ile üretilen sanat eserleri de insanlar arasında önemli bir iletişim aracı vazifesini görmüştür. Bu sayede iletişim aracı olarak sanat, insan yaşantısıyla iç içe olan, toplumsal değer, yargı ve ideallerin belirlenmesinde, hayata geçirilmesinde önemli özelliklerini bünyesinde barındırmıştır. “Genel olarak sanat, insanların doğa karşısındaki duygu ve düşüncelerini çizgi, renk, biçim, ses ve ritim gibi araçlarla güzel ve etkili bir biçimde ve kendi, kişisel üsluplarıyla ifade etme çabasından doğan faaliyetlerin bütünüdür.”
Geçmişten günümüze kadar farklı biçimlerde sanatın içinde yer alan iletişim kavramı insanlık tarihi boyunca daima mesaj verici bir niteliğe sahip olmuştur. Bu kavramlardan sembol, imge, çizgi, renk, şekil ve benzeri unsurlarla resim, müzik, heykel gibi sanat dallarında insanlara mesajlar verilmesi amaçlanmıştır. İnsanlar, bu sanat dallarındaki eserlerde verilen mesajlarla hayalleri, duyguları ve düşünceleri arasında bağlantılar kurmuştur. Bu bağlamda, günümüz Türk resim sanatçılarından Nevin Çokay, insanlara anlatmak istedikleriyle eserlerinde kullandığı renk, biçim, imge ve sembollerden yola çıkarak bir iletişim dili oluşturmuştur. Seçtiği konularla eserlerinde toplumsal olayları kendi penceresinden bizlere tercüme etmeye çalışmıştır. Bu araştırma nitel araştırma yöntemlerinden doküman analizi yöntemi ile yapılmıştır.
Phytochemical Screening, GCMS and FTIR Profile of Bioactive Compounds in Solanum lycopersicum Wild Fruits collected from Palani Hill Ranges of the Western Ghats
Authors: Ramya S. , Chandran M. , King Immanuel J. , Jayakumararaj R. , Loganathan T. , Pandiarajan G. , Kaliraj P. , Grace Lydial Pushpalatha G , Abraham G.C. , Vijaya V. , Aruna Devaraj , Sutha S. , Dhakar Ram Chand 
Published: December 2022

Tomatoes are consumed worldwide as fresh vegetables because of their high contents of essential nutrients and antioxidant-rich phytochemicals. Tomatoes contain minerals, vitamins, proteins, essential amino acids (Leucine, Threonine, Valine, Histidine, Lysine, Arginine), monounsaturated fatty acids (Linoleic and Linolenic Acids), Carotenoids (Lycopene and β-Carotenoids) and Phytosterols (β-Sitosterol, Campesterol and Stigmasterol). GCMS analysis revealed the presence of 3-methylheptane, Ethylcyclohexane, 2-Methyl-4,6-octadiyn-3-one, 5,6-Dimethylundecane, (3E)3-Hexen-2-one, 2,2-Dimethylbutane, 1,2-Diphenyl-1-butanone, Isopropylbenzene (2-phenylpropane), 3,5-Dimethyloctane, 2-Phenyl-3-buten-1-ol, 2,4,4-Trimethylhexane, Benzoylcarboxaldehyde (Phenylglyoxal), Cis-3-Methyl-Endo-Tricyclo [5.2.1.0(2.6)] Decane, 2,4-Dimethylhexan-3-One, Benzene acetic acid,2-phenylethyl ester, Cyclopentacycloheptene, 2,3-Heptanedione, 1,6-Methano[10] annulene, 1-Naphthaleneacetic acid, methyl ester, N,N-Dimethylmethanesulfonamide, Methyl tridecanoate, Cis 9-Octadecanoic acid, Methyl 15-methylheptadecanoate, 9-Octadecenoic acid, Methyl (Z)-octadec-9-enoate, (Z)-octadec-9-enamide, Methyl 2-ethyl-2-methylicosanoate, 1,2,3,4,4a,5,6,7,8,9,10,11,12,12a-tetradecahydrobenzo [10] annulene Caffeic acid, Catechin, Chlorogenic acid, Chrysin, Cinnamic acid, Epicatechin, Ferulic acid, Kaempferol, Luteolin, Lycopene, Naringenin, P-coumaric acid, Phloretic acid, Quercetin, Resveratrol, Rutin, Sinapic acid, Vanillic acid. Lycopene, the main dietary carotenoid in tomato and tomato-based food products and lycopene consumption by humans has been reported to protect against Cancer, Cardiovascular Diseases, Cognitive function and Osteoporosis. Among phenolic compounds present in tomato, Quercetin, Kaempferol, Naringenin, Caffeic Acid and Lutein are the most common. These compounds have significant antioxidant properties and are effective in protecting human body against oxidative stress-related diseases.
Keywords: Solanum lycopersicum; Phytochemical Screening; GCMS; FTIR
Antimicrobial Properties and Characterization of Secondary Metabolites Obtained from Curvularia lunata, an Endophyte of Azadirachta indica
Authors: Chukwuemerie Ogechukwu L. , Bunu Samuel J. , Iloh Ezinne S. , Onwuzuluigbo Chukwunonso C. , Onyegbule Felix A. , Okoye Festus B. C. 
Published: December 2022

Background: Endophyte phytochemicals have piqued interest in drug development programs due to their enormous potential for assisting in the discovery of novel biologically active compounds. Aim and objectives: The study was aimed to isolate, evaluate the antimicrobial properties and characterize the secondary metabolites of Curvularia lunata endophyte isolated from A. indica. Method: C. lunata isolated from A. indica leaves using standard extraction protocols were screened for their potential antimicrobial activities using agar diffusion well method. HPLC-DAD, GC-FID, GC-MS, and FTIR techniques were used to characterize secondary metabolites. Results: At 1 mg/mL, growth inhibition of bacteria by the extracts of C. lunata were observed with Pseudomonas aeruginosa, Escherichia coli, Bacillus subtilis, and Candida albicans with zones of inhibition diameters of 6, 5, 4, and 4 mm respectively. The vacuum liquid chromatography sub-fraction of the extract showed the best antimicrobial activity. HPLC-DAD analysis revealed the presence of 2-carboxymethyl-3-n-hexylmaleic acid anhydride and aspernigin A. GC-FID analysis showed remarkably high concentrations of flavonones and catechins. The results of GC-MS analysis also showed the presence of hexadecanoic acid, and 1,6-Anhydro-beta-D-glucopyranose. FTIR results established the presence of functional groups like carboxylic acids, which may be associated with some of the detected compounds. Conclusion: C. lunata (OM337582) extract of A. indica have potent antimicrobial activity which could be related to a high content of flavonoids and alkaloids.
Keywords: Antimicrobial, Azadirachta indica, HPLC-DAD, Chromatography, Curvularia lunata.
ADMETox-informatics of Plant Derived Octadecanoic Acid (Stearic Acid) from Ethyl Acetate Fraction of Moringa oleifera Leaf Extract as a Natural Lead for Next Generation Drug Design, Development and Therapeutics
Authors: Murugan M. , Kalaimathi R.V. , Krishnaveni K. , Basha A.N. , Gilles A Pallan. , Kandeepan C. , Senthilkumar N. , Mathialagan B. , Ramya S. , Jayakumararaj R. , Loganathan T. , Pandiarajan G. , Kaliraj P. , Sutha S. , Kandavel D. , Grace Lydial Pushpalatha G , Abraham GC. , Dhakar Ram Chand 
Published: December 2022

In-silico Computer-Aided Drug Design (CADD) significantly relies on cybernetic screening of Plant Based Natural Products (PBNPs) as a prime source of bioactive compounds/ drug leads due to their unique chemical structural scaffolds and distinct functional characteristic features amenable to drug design and development. In the Post-COVID-Era a large number of publications have focused on PBNPs. Moreover, PBNPs still remain as an ideal source of novel therapeutic agents of GRAS standard. However, a well-structured, in-depth ADME/Tox profile with deeper dimensions of PBNPs has been lacking for many of natural pharma lead molecules that hamper successful exploitation of PBNPs. In the present study, ADMET-informatics of Octadecanoic Acid (Stearic Acid - SA) from ethyl acetate fraction of Moringa oleifera leaves has been envisaged to predict ADMET and pharmacokinetics (DMPK) outcomes. This work contributes to the deeper understanding of SA as major source of drug lead from Moringa oleifera with immense therapeutic potential. The data generated herein could be useful for the development of SA as plant based natural product lead (PBNPL) for drug development programs.
Keywords: Moringa oleifera; Bioactive Substances; Octadecanoic Acid; Stearic Acid; ADME/Tox; Natural Product Based Drug Lead; PBNPs