bluuebunny/crossref_metadata_2025_split huggingface dataset:
Behavioral responses and development of larvae and adult of Cnaphalocrocis medinalis (Guenée) on transgenic Bt rice
Authors: Gothandaraman Rajadurai , Sudhakar D. , Varanavasiappan S. , Balakrishnan N. , Udayasuriyan V. , Natarajan N. 
Published: June 2022

Abstract
Background In general, it was observed that the transgene expression in transgenic plants did not alter the biochemical composition and phenotypes of transformed plants. The oviposition preference of gravid female moths is expected to correlate with the host plant fitness for their offspring development. Since many neonate larvae of lepidopteran species are relatively immobile, female adults must choose a more favorable site for laying eggs to increase the probability of larval survival. With this background, the present investigation was carried out to study the behavior of larvae and adults of leaf folder, Cnaphalocrosis medinalis (Guenee) on transgenic rice lines expressing cry2AX1 gene which were previously generated in our laboratory. Results PCR positive transgenic plants were subjected to quantitative ELISA for their level of expression. The expression level of Cry2AX1 ranged between 18±0.01 to 128±0.06 ng/gram of fresh leaf tissues, while the non-transformed ASD16 did not show any detectable level of expression. Among the transgenic events tested, the maximum expression level (128 ng/g) of Cry protein was observed in GR-ASD16-1-91-1. The results revealed that the adults did not exhibit oviposition preference towards transgenic and non-transgenic plants in choice as well as no choice test as the adults could not differentiate the test and control plants for laying the eggs. However, significant differences in larval survival and adult emergence indicated the deleterious effect of transgenic plants harboring the cry2AX1 gene in both larval and adult development, irrespective of the test condition of choice and no choice. Prolonged settling time and reduced folding length and binds spun by the larvae on transgenic plants lead to the hypothesis that the larvae could not behave normally and make congenial niche as in non-transgenic plants, exposing the larvae to the risk of both biotic and abiotic factors. The larvae fed on transgenic plants could not behave normally as in wild type and exposing their body parts to the risk of both biotic and abiotic factors.ConclusionsIt was concluded that transgenic plants with a moderate level of insect toxicity can also be used in IPM of rice leaf folder by introducing larval parasitoids or predators for effective management of rice leaf folder.
Influence of L-alanine Doping on Zinc (TRIS) Thiourea Sulphate (ZTS) Single Crystals
Authors: Marudhu G. , Baraniraj T. , Venkatesan chithambaram 
Published: June 2022

Abstract
ZTS has been grown using a slow evaporation technique at ambient temperature, and the L-alanine-doped ZTS was likewise prepared. Powder X-ray diffraction (XRD), Fourier Transform Infrared spectroscopy (FTIR) and Vickers’s micro hardness test have all been used to analyse growing crystals. Both pure ZTS and L-Alanine-doped ZTS crystals have an orthorhombic structure. L-alanine doped ZTS had greater second harmonic generation (SHG) conversion efficiency. L-alanine doped ZTS crystals had a higher hardness than a pure ZTS sample. UV spectral analysis indicates that both crystals have excellent UV and visible transmission. Doping with L-alanine resulted in an increase in the melting point of the pure ZTS crystal.
Fe-Mn/UiO-66 catalysts for catalytic wet peroxide oxidation of metronidazole in pharmaceutical wastewater
Authors: Jiang Songshan , Chen Ying , Lyu Yang , Zhang Xu , Liu Xiao , Xu Jing , Xiong Wei , He Bai , Feng Jian , Lian Xin 
Published: June 2022

Abstract
Novel Fe-UiO-66, Mn-UiO-66 and Fe/Mn-UiO-66 catalysts were prepared and applied for the catalytic wet peroxide oxidation (CWPO) of metronidazole in pharmaceutical wastewater. The effects of Fe and Mn loading rate, catalyst dosage, metronidazole concentrations, calcined temperature of Mn-UiO-66 and Fe/Mn ratio on the CWPO of metronidazole wastewater were systematically studied. The Fe-UiO-66 catalysts exhibited good catalytic activity for the CWPO degradation of metronidazole wastewater (XMNZ = 93%, XH2O2 = 78%) compared with Mn-UiO-66 catalysts (XMNZ = 20%, XH2O2 = 30%). The bimetallic Fe/Mn can effectively increase the catalytic activity of Mn-UiO-66 catalysts. The kinetics study indicates that the CWPO process is well fit for the first order reaction with activation energy of 89.37 kJ/mol and 95.08 kJ/mol on the Fe-UiO-66 and 2Fe/Mn-UiO-66 catalysts, respectively. The supported UiO-66 catalyst shows good catalytic activity used for the CWPO of metronidazole in pharmaceutical wastewater which shows potential application in the environmental field.
Climate Change, Food Choices, and the Theory of Behavioral Choice
Authors: Gifford Robert , Lacroix Karine , Asgarizadeh zahra , Anderson Emily Ashford , Milne-Ives Madison , Sugrue Peter 
Published: June 2022

Abstract
Food choices are an important aspect of climate change mitigation. How best to account for them? The dietary change intentions of 454 adults in the United States and Canada were predicted from the theory of planned behavior (TPB) and the recently proposed theory of behavioral choice (TBC), using an online survey. The TBC accounted for a statistically significant greater proportion of variance than the TPB (83 versus 61 percent) in explaining the respondents’ intentions. The strongest TBC predictor of intention was felt obligation, followed by social norms, affect, and habitual behavior. Three interactions among the TBC predictors also contributed, in small but significant ways, in accounting for the food choice intentions. Translational policy implications are discussed.
Structure-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation of EGFR for the clinical treatment of Glioblastoma
Authors: Pande Aditi , Abdalla Mohnad , Madhavi Maddala , Chopra Ishita , Bhrdwaj Anushka , Soni Lovely , Vijayakumar Natchimuthu , Panwar Umesh , Khan Mohd. Aqueel , Prajapati Leena , Gujrati Deepika , Belapurkar Pranoti , Albogami Sarah , Hussain Tajamul , Selvaraj Chandrabose , Nayarisseri Anuraj , Singh Sanjeev Kumar 
Published: June 2022

Abstract
Glioblastoma (GBM) is a WHO Grade IV tumor with poor visibility, a high risk of comorbidity, and limited treatment options. Resurfacing from second-rate glioma was originally classified as either mandatory or optional. Recent interest in personalized medicine has motivated research toward biomarker stratification-based individualized illness therapy. GBM biomarkers have been investigated for their potential utility in prognostic stratification, driving the development of targeted therapy, and customizing therapeutic treatment. Due to the availability of a specific EGFRvIII mutational variation with a clear function in glioma-genesis, recent research suggests that EGFR has the potential to be a prognostic factor in GBM, while others have shown no clinical link between EGFR and survival. The pre-existing pharmaceutical lapatinib (PubChem ID: 208908) with a higher affinity score is used for Structure-based Virtual Screening. As a result, the current study revealed a newly screened chemical (PubChem CID: 59671768) with a higher affinity than the previously known molecule. When the two compounds are compared, the former has the lowest re-rank score. The time-resolved features of a virtually screened chemical and an established compound were investigated using Molecular Dynamics Simulation. Both compounds are equivalent, according to the ADMET study. This report implies that the virtual screened chemical could be a promising Glioblastoma therapy.
Kinetic Studies on Extraction of Oil from a New Feedstock (Chukrasia Tabularis L. Seed) for Biodiesel Production and Optimizing the Process Using a Heterogeneous Catalyst
Authors: Eswaramoorthi Yuvanashree , Pandian Sivakumar , Sahadevan Renganathan 
Published: June 2022

Abstract
In this study, Chukrasia tabularis L. (C. tabularis) seed is identified as a new feedstock for biodiesel production. The seeds are pretreated by autoclave assisted ultrasonic homogenization process (AUH) and an appropriate solvent was chosen to extract the total oil content. The oil extracted from the seed was maximum for n-hexane (32 wt%). Further, the kinetic and thermodynamic studies are performed in batch extraction using n-hexane. The data shows that the extraction follows first order kinetics and further, their rate constants, thermodynamic parameters and activation energy were calculated. Finally, the physiochemical properties of the oil are estimated using standard methods. It is identified that C. tabularis oil has high free fatty acid (FFA). Hence, it requires an acid catalyst to catalyze a single step, both esterification and transesterification simultaneously to produce biodiesel. The heterogeneous acid catalyst (HAC) has numerous advantages compared to a homogeneous catalyst. In this work, HAC is synthesised from a carbon precursor by a chemical reduction and activation process. Moreover, its physiochemical properties are characterised and used to catalyze the biodiesel production process. The optimum oil conversion was 99.2% at 6 wt% catalyst loading, 15:1 methanol to oil molar ratio, 120 min reaction time, 70 ºC reaction temperature and 500 rpm stirring rate. The physiochemical characteristics of biodiesel were determined using standard methods and compared with the ASTM D6751 standard.
The Human Well-being and Environmental Degradation Nexus in Africa
Authors: Aladejare Samson 
Published: June 2022

Abstract
Environmental degradation continues to attract interest from academics, policymakers, and other stakeholders. However, empirical studies have been limited, particularly in the choice of human well-being indicators. Therefore, this study extends the literature by broadening the nexus between human well-being and environmental degradation in 29 African countries from 1970 to 2019. Preliminary tests adaptable to effects of cross-sectional dependency and heterogeneity in panel dataset were adopted, alongside the cross-sectional auto-regressive distributed lag model and the Dumitrescu-Hurlin causality approach. Findings from the study showed that the adopted human well-being indicators such as globalisation, life expectancy and human capital development were environmentally enhancing both in the short and long term. In contrast, growth in income was found to be environmentally degrading in the short and long term. At the same time, urbanisation was only environmentally detrimental in the long term with no significant short-term effect. Natural resource rent which served as a control variable, was environmentally degrading both in the short and long term. Also, a bidirectional association between human well-being and environmental degradation was confirmed. Consequently, this study implies a win-win symbiotic nexus between the environment and human well-being in African countries.
From Measuring User Satisfaction to Improving Quality of Care: Community Verifications and Performance-Based Financing in District Hospitals in Mali
Authors: Zitti Tony , Coulibaly Abdourahmane , Ridde Valéry 
Published: June 2022

Abstract
Context: User satisfaction in health facilities is increasingly taken into account to improve the quality of care. In Mali, performance-based financing (PBF) aims to improve the quality of care by increasing the motivation, responsibility, and accountability of health workers. Community verification (CV) is one of the main functions of the PBF. CV makes it possible to monitor the effectiveness of the services reported by the health facilities and to conduct satisfaction surveys of the users who have received care. This paper aims to analyze the CV process during the implementation of the PBF in the Koulikoro region of Mali.Methods: We adopted a qualitative approach based on a multiple case study design corresponding to the district hospitals (DH) and stakeholder groups. We conducted thirty-nine semi-structured interviews with investigators, patients, and health workers in three of the ten DHs in the Koulikoro region. We designed three interview guides and inductively analyzed our data.Results: The CV process was well perceived and welcomed. However, the vast majority of interviewers reported difficulties locating some patients in the community for several reasons: incorrect spelling of names, illegible cards, lack of telephone contact information and incomplete information on the cards, and cases of homonymity. All of this was due to poor record-keeping at the health facilities. Some investigators fraudulently filled out forms without investigating users in the communities. They justified this by the lack of time available to them to conduct the CV. No feedback on the results of the CV was possible from the health workers.Conclusion: The CV is an essential component of PBF implementation. The validity, reliability, and efficiency of the measurement instruments must be considered in user-satisfaction surveys. In addition, emphasis should be placed on data analysis and the use of CV results.
Determination and Evapotranspiration of different Agro-climatic regions of India by Artificial Neural Network
Authors: Abraham Markutty , Mohan Sankaralingam 
Published: June 2022

Abstract
Climate change has a tremendous effect on the evapotranspiration (ET) process worldwide and the computation of ET for various climatic regions is essential for efficient water management. ET was estimated using Artificial Neural Network models for 10 stations falling under different agro-climatic regions of India. Although the Penman–Monteith ET model has superior predictive ability than the other methods, owing to the need for a large number of climatic variables, it is difficult to use in data-short conditions and it is necessary to determine the most important climatic variables for the agro-climatic regions. Most sensitive climatic variables were identified from the Principal Component Analysis (PCA) for all the stations. Sensitivity analysis showed that the overall average change in ET0 values for 25% change in the climatic variables were 18%, 16%, 14%, 7%, 5%, 4% respectively for Tmax, RHmean, Rn, Wind speed, Tmin and sunshine hours. New ET models were developed for each station, both with all climatic variables and with the important climatic variables identified by PCA, using the ANN model and compared the performance with Penman–Monteith ET estimates. Net radiation, high and low temperatures, usual relative humidity, wind velocity, and the ratio of daily sunshine hours are all input variables to the model, with ET0 values as an output. Several neurons in the hidden layer for each station for the best model performance were found. PCA variables guaranteed the most reliable estimation of potential evapotranspiration (PET) accounting for 98% of the variability. The average values of coefficient of determination (R2), standard error of estimate (SEE), and percentage efficiency (%) were observed as 0.96, 0.24, 94% respectively. There was no significant difference between the ANN model with all climatic variables and with the PCA variables identified indicating that the ANN model with variables resulting from PCA can be preferred for practical applications.
Study of manufacturing defects on compressive deformation of 3D printed polymeric lattices
Authors: Amirpour Maedeh , Battley Mark 
Published: June 2022

Abstract
This paper studies theoretical, numerical and experimental studies on static compression behaviour of Polyamide 12 Body-Centred Cube (BCC) lattices manufactured using the Selective Laser Sintering (SLS) method. In the analytical formulation, the influence of imperfections that happened during 3D printing such as material overlapping in the vicinity of filament joints is considered to provide predictions of mechanical properties of a macro lattice structure. Finite Element (FE) models of the BCC lattices are performed to predict the compressive behaviour and deformation localisation of filaments. In order to determine a material model and input parameters for FE simulation of the lattice cubes, an individual 3D printed filament is subjected to transverse compressive loading utilising a custom-made filament compression rig. Then, true experimental stress and strain data are generated that are imported into an inverse calibration technique using MCalibration software to determine the material parameters for the FE simulation. A series of BCC lattice cubes were printed using the SLS method. Compression experiments were conducted utilising digital image correlation (DIC) techniques in order to determine localisation of deformations and strains and validate the material properties obtained by the analytical modelling and numerical simulations. Good agreements are observed among the analytical, numerical and experimental results. The results show that effect of filament defects should be taken into account to find the accurate responses in analytical model and FE simulation.
Enhanced hemocompatibility of Lysine grafted polyacrylonitrile electrospun nanofiber membranes as a potential bilirubin adsorption in hemoperfusion
Authors: Liu Muhua , Zhang Wen , Li Hao , Zhan Jinjie , Zhao Wenjun , Mei Xi 
Published: June 2022

Abstract
Hyperbilirubinemia is one of most severe clinical diseases, which is caused by the accumulation of unconjugated bilirubin. Electrospun nanofiber membranes used as highly efficient bilirubin adsorbents have been applied to remove the extra bilirubin in hemoperfusion for their high surface area and easy functionalized properties. In this work, Lysine (Lys) grafted polyacrylonitrile (PAN) electrospun nanofiber membranes doped with organic Hectorite (OHec) (Lys-HPAN@OHec) have been fabricated via a series of modified process, including pore forming, alkaline hydrolysis and grafting reaction. The obtained Lys-HPAN@OHec nanofiber membranes have been analyzed in detail and investigated the adsorption capacity for bilirubin. Compared with original PNA membranes, Lys-HPAN@OHec nanofiber membranes show an excellent bilirubin adsorption capacity and more stable rejection rate of bovine serum albumin (BSA). The maximum adsorption capacity of Lys-HPAN@OHec membranes for bilirubin is 64 mg/g, the adsorption process of Lys-HPAN@OHec membranes matched the Langmuir model well. In addition, dynamic adsorption reveals that the adsorption equilibrium time of Lys-HPAN@OHec membranes is about 2 h. Significantly, Lys-HPAN@OHec membranes have excellent biocompatibility and hemocompatibility. This study demonstrates that the novel Lys-HPAN@OHec membranes may provide a new way to treat hyperbilirubinemia.
Machinability analysis and optimisation of EDM in AA6082/ 3 wt. % BN/1wt. % MoS2 hybrid composites using entropy method weights integrated with Complex Proportional Assessment (COPRAS) method
Authors: G karthik pandiyan , D Jafrey Daniel James , Sivalingam Vinothkumar , D Arjun , S Gowtham , P Gokul Kannan , K Bhuvaneshwar , R Ramkumar , Chandran Mohanraj 
Published: June 2022

Abstract
An investigation was made on composites containing AA6082 as matrix and boron nitride/molybdenum disulphide (BN/MoS2) used as reinforcement, which was 3 wt. % of BN and 1% MoS2 hybrid composite materials were fabricated by stir casting methodology. Using electrical discharge machining (EDM) equipment, machinability studies were examined to achieve an optimal condition of process parameters. Taguchi (L27 orthogonal array) based design of experiments was employed for experiments to examine the influence of process parameters like pulse on time (Ton), peak current (IP) and gap voltage (V) on material removal rate (MRR), circularity (CIRC), electrode wear rate (EWR), and cylindricity (CYLD) were investigated. Multi Criteria Decision Making (MCDM) methodology was employed for the process parameters while machining AA6082/ 3 wt. % BN/1% MoS2 hybrid composites. An entropy-based objective weights method was integrated with the complex proportional assessment (COPRAS) approach to assess the most excellent optimal level of process parameters. The entropy (Wj) weights were 0.1285, 0.1002, 0.5707 and 0.2005 for MRR, EWR, CIRC, and CYLD. The optimal conditions are obtained from the COPRAS method of relative significance score, and quantitative utility assessment score in the nineteenth experiment having the 15 A, 50 µs and 30 V with the relative significance score of 0.0735 with a higher quantitative utility score of 100% is achieved. Using an SEM, the machined surface is analysed for the micro-structural examination. At higher peak current (IP), micro-voids and craters with poor surface finish were achieved.
Thermally-stable threshold selector based on CuAg alloy for energy-efficient memory and neuromorphic computing applications
Authors: Zhou Xi , Zhao Liang , Yan Chu , Zhen Weili , Lin Yinyue , Li Le , Du Guanlin , Lu Linfeng , Zhang Shan-Ting , Lu Zhichao , Li Dongdong 
Published: June 2022

Abstract
As a promising candidate for high-density data storage and neuromorphic computing, cross-point memory arrays provide a platform to overcome the von-Neumann bottleneck and accelerate neural network computation. In order to suppress the sneak-path current problem that limits their scalability and read accuracy, a two-terminal selector can be integrated at each cross-point to form the one-selector-one-memristor (1S1R) stack. In this work, we demonstrate a CuAg alloy-based, thermally-stable and electroforming-free selector device with tunable threshold voltage and over 7 orders of magnitude ON/OFF ratio. A vertically-stacked 64 × 64 1S1R cross-point array is further implemented by integrating the selector with SiO2-based memristors. The 1S1R devices exhibit extremely low leakage currents and proper switching characteristics, which are suitable for both storage class memory and synaptic weight storage. Finally, a selector-based leaky-integrate-and-fire neuron is designed and experimentally implemented, which expands the application prospect of CuAg alloy selectors from synapses to neurons.
Pollen Morphological and Molecular identification, and deposition of Ocimum species
Authors: Alex ASHA MONICA.A , S Senthilkumar 
Published: June 2022

Abstract
Ocimum species is an exceptionally exchanged and broadly utilized species of Ayurvedic medication inferable from its colossal helpful potential, which has prompted defilement of the two definitions as well as exchanged crude medications. To fulfill the guideline worldwide market necessities, fast and proficient strategies for confirmation are required which can stay up with the rising interest in the spice. In 2019, four Ocimum species were collected from the Tiruchirappalli districts and identified based on morphological and molecular levels. Pollen morphological studies were carried out using Scanning electron Microscopy. The shape of the studied, plants are prolate, oblate-spherical and percolate Morphological characters are identified based on the physical characters tod the herbarium sheet was submitted in St Joseph’s College. Molecular identification is carried out by PCR with help of three primers rbcL, trnH-psbA, and trnL-F. The conserved region is identified and constructed in a phylogenetic tree based on interspecific and intraspecific molecular markers with help of The Molecular Evolutionary Genetics Analysis (MEGA) software. Finally, sequences are submitted to NCBI and got an accession number from Genbank.