Synthesis and applications of nanoparticles: State of the Art and Future Perspective

2021 ◽  
Vol 11 ◽  
Author(s):  
Smriti Shukla ◽  
Mitali Sharma ◽  
Sapna Yadav ◽  
Avinash Raghupathy ◽  
Kartikeya Shukla ◽  
...  
Keyword(s):  
Water Quality ◽  
Human Health ◽  
State Of The Art ◽  
Crop Plants ◽  
The Other ◽  
Future Perspective ◽  
Different Types ◽  
Different Doses ◽  
Soil And Water

: Nanoparticles are being extensively studied these days to grab more knowledge on how they can be used in various fields to increase the yields and hence be beneficial for biotic components of the ecosystem. Chemicals being used in agriculture have caused a lot of damage to the soil and water quality along with the crop plants, ultimately affecting human health severely. Better alternatives are thus required to get higher yields with a better quality of crop plants that enhance human health. A variety of nanoparticles exists in nature, while others have been manufactured accidentally or engineered purposefully. These can play many beneficial roles in the crop plants, increasing the yield of crops and quality of the grains. They can be applied at various stages and in different doses. The effect they exhibit would be dependent on many factors. Different nanoparticles have diverse effects on different plants. Some nanoparticles may be beneficial to one species of crop plant and disadvantageous to the other one. Therefore, an elaborative study is required on all the types of nanoparticles exhibiting their advantageous and disadvantageous impacts on different species of crop plants for the dose and stage in which they have been applied. This review explains the different types of nanoparticles categorized based on their manufacture and the different effects they cause in different plant species. More research and knowledge is yet to be obtained before using nanoparticles in crop plants since the way they affect human health is a serious matter of concern.

Comparative Surface Imaging Study of Multifocal Diffractive Intraocular Lenses

2021 ◽  
Author(s):  
Hyeck Soo Son ◽  
Jung Min Lee ◽  
Ramin Khoramnia ◽  
Chul Young Choi
Keyword(s):  
Imaging Study ◽  
The Other ◽  
Intraocular Lenses ◽  
Optical Surface ◽  
Diffractive Optic ◽  
Atomic Force ◽  
Acceptable Range ◽  
Different Types ◽  
Concentric Pattern

Abstract Purpose To analyse and compare the surface topography and roughness of three different types of diffractive multifocal IOLs. Methods Using scanning electron microscope (SEM, Inspect F, 5.0 KV, maximum magnification up to 20,000) and atomic force microscope (AFM, Park Systems, XE-100, non-contact, area profile comparison, 10 × 10 µm, 40 × 40 µm), the surface quality of the following diffractive IOLs was studied: the AcrySof IQ PanOptix (Alcon, USA), the AT LARA 829MP (Carl Zeiss Meditec, Germany), and Tecnis Symfony (Johnson&Johnson Vision, USA). The measurements were made over three representative areas (central non-diffractive optic, central diffractive optic, and diffractive step) of each IOL. Roughness profile in terms of mean arithmetic roughness (Ra) and root-mean-squared roughness (Rq) values were obtained and compared statistically. Results In SEM examination, all IOLs showed a smooth optical surface without any irregularities at low magnification. At higher magnification, Tecnis Symfony showed unique highly regular, concentric, and lineate structures in the diffractive optic area which could not be seen in the other studied diffractive IOLs. The differences in the measured Ra and Rq values of the Tecnis Symfony were statistically significant compared to the other models (p < 0.05). Conclusion Various different topographical traits were observed in three diffractive multifocal IOLs. The Ra values of all studied IOLs were within an acceptable range. Tecnis Symfony showed statistically significant higher surface Ra values at both central diffractive optic and diffractive step areas. Furthermore, compared to its counterparts, Tecnis Symfony demonstrated highly ordered, concentric pattern in its diffractive surfaces.

Multisensor systems based on phthalocyanines for monitoring the quality of grapes

2016 ◽  
Vol 20 (08n11) ◽  
pp. 889-894 ◽  
Author(s):  
Maria Luz Rodriguez-Mendez ◽  
Celia García-Hernandez ◽  
Cristina Medina-Plaza ◽  
Cristina García-Cabezón ◽  
Jose Antonio de Saja
Keyword(s):  
State Of The Art ◽  
Layer By Layer ◽  
Carbon Paste ◽  
Electron Mediator ◽  
Multisensor Systems ◽  
Langmuir Blodgett ◽  
Different Types ◽  
Production Stages ◽  
Nanostructured Sensors

Arrays of phthalocyanine-based sensors with complementary activity have been used to develop voltammetric electronic tongues. Such systems have demonstrated to be useful in enology for the evaluation of quality of wines in different production stages, from grapes to bottles. In this paper, the state of the art of multisensor systems based on phthalocyanines dedicated to the analysis of musts (juices obtained from crushed grapes) is described. Such multisensor systems cover different types of sensors from simple Carbon Paste Electrodes, to sophiticated nanostructured sensors, including Langmuir–Blodgett or Layer by Layer thin films and biomimetic biosensors where phthalocyanines play a crucial role as electron mediator between enzymes and electrodes. In all cases, multisensor systems based on phthalocyanines have been able to discriminate musts prepared from different varieties of grapes. The performance of these systems can be improved by combining non-specific sensors with biosensors containing enzymes selective to phenols. In this case, excellent relationships have been found between the responses provided by the array and the content in phenols and acids provided by traditional chemical analysis.

Data science in economics: comprehensive review of advanced machine learning and deep learning methods

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Prediction Accuracy ◽  
Data Science ◽  
State Of The Art ◽  
Hybrid Models ◽  
The Other ◽  
Learning Models ◽  
Comprehensive Review

Abstract This paper provides the state of the art of data science in economics. Through a novel taxonomy of applications and methods advances in data science are investigated. The data science advances are investigated in three individual classes of deep learning models, ensemble models, and hybrid models. Application domains include stock market, marketing, E-commerce, corporate banking, and cryptocurrency. Prisma method, a systematic literature review methodology is used to ensure the quality of the survey. The findings revealed that the trends are on advancement of hybrid models as more than 51% of the reviewed articles applied hybrid model. On the other hand, it is found that based on the RMSE accuracy metric, hybrid models had higher prediction accuracy than other algorithms. While it is expected the trends go toward the advancements of deep learning models.

scholarly journals Assessment of soil and water quality of Barapukuria coal mining site, Dinajpur, Bangladesh

2016 ◽  
Vol 27 (1) ◽  
pp. 63-73
Author(s):  
Rowshon Shad Fardushe ◽  
Md Mahbubul Hoque ◽  
Shimul Roy
Keyword(s):  
Water Quality ◽  
Agricultural Land ◽  
Drainage Water ◽  
Quality Parameters ◽  
Color Temperature ◽  
Mining Site ◽  
The Status ◽  
Land Water ◽  
Soil And Water

From the field observation it is apparent that the color of coal leached drainage water and the agricultural land water are blackish and slightly blackish respectively, which pollutes surface water and the agricultural land. The study showed the present status of the water quality through analyzing different parameters including color, temperature, pH, EC, DO, TDS, BOD, COD, Cl-, Cu, Zn and Fe as well as the status of soil quality where pH, OC, PO4 -, Cu, Cr and Zn were analyzed. All the water quality parameters (e.g. temperature, pH, EC, TDS, DO, and BOD) were within normal levels but the value of COD was higher, which affects the aquatic environment. The concentration of heavy metals in water varied with Zn > Cu > Cr and in soil the concentration varied with Cu > Cr > Zn.Bangladesh J. Sci. Res. 27(1): 63-73, June-2014

Interactions Between Food and Gut Microbiota: Impact on Human Health

2019 ◽  
Vol 10 (1) ◽  
pp. 389-408 ◽  
Author(s):  
Yanbei Wu ◽  
Jiawei Wan ◽  
Uyory Choe ◽  
Quynhchi Pham ◽  
Norberta W. Schoene ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Health Outcomes ◽  
Human Health ◽  
State Of The Art ◽  
Current Knowledge ◽  
The Other ◽  
Bioactive Components ◽  
Food Components ◽  
The Relationship

Understanding the relationship between food and the gut microbiota, their interactions, and how each modulates the other is critical for successful promotion of human health. This review seeks to summarize ( a) the current knowledge on the effects of food and food components on gut microbiota and ( b) the association between gut microbiota, consumption of food, and food bioactive components and the resulting beneficial health outcomes. Our goal is to provide state-of-the-art information on food and gut microbiota interactions and to stimulate discussions and research approaches that will move the field forward.

scholarly journals Gender differences in the associations between childhood trauma and parental bonding in panic disorder

2009 ◽  
Vol 31 (4) ◽  
pp. 314-321 ◽  
Author(s):  
Ana Carolina Gaspar Seganfredo ◽  
Mariana Torres ◽  
Giovanni Abrahão Salum ◽  
Carolina Blaya ◽  
Jandira Acosta ◽  
...  
Keyword(s):  
Panic Disorder ◽  
Childhood Trauma ◽  
Emotional Abuse ◽  
Parental Bonding ◽  
The Other ◽  
Childhood Trauma Questionnaire ◽  
Parental Bonding Instrument ◽  
Different Types ◽  
Highly Correlated

OBJECTIVE: The aim of this study is to evaluate the association between childhood trauma and the quality of parental bonding in panic disorder compared to non-clinical controls. METHOD: 123 patients and 123 paired controls were evaluated with the Mini International Neuropsychiatric Interview, the Childhood Trauma Questionnaire and the Parental Bonding Instrument. RESULTS: The Parental Bonding Instrument and the Childhood Trauma Questionnaire were highly correlated. Panic disorder patients presented higher rates of emotional abuse (OR = 2.54, p = 0.001), mother overprotection (OR = 1.98, p = 0.024) and father overprotection (OR = 1.84, p = 0.041) as compared to controls. Among men with panic disorder, only mother overprotection remained independently associated with panic disorder (OR = 3.28, p = 0.032). On the other hand, higher father overprotection (OR = 2.2, p = 0.017) and less father warmth (OR = 0.48, p = 0.039) were independently associated with panic disorder among female patients. CONCLUSION: Higher rates of different types of trauma, especially emotional abuse, are described in panic disorder patients as compared to controls. The differences regarding gender and parental bonding could be explained in the light of the psychodynamic theory.

scholarly journals Emotional Imbalance and Human Ailments

2020 ◽  
Vol 8 (5) ◽  
pp. 307-309
Keyword(s):  
Physical Health ◽  
Human Health ◽  
Negative Emotions ◽  
Physical Activities ◽  
The Other ◽  
Other Hand ◽  
Anxiety Depression ◽  
The Impact ◽  
Mental And Physical Health

Man is made by cells and their life is made by emotions, which in turn determine their health and wealth. Our emotions and feelings direct our physical activities. What we think inside comes outside. What we see outside came from human mind1 . Our thoughts and the emotions are the input and the deeds and the actions are the outcomes. In fact, our emotions and thoughts are our life. As the quality of inputs determine the output. The nature of our emotions and thoughts determine the nature of our life. If the emotions and thoughts are positive then our life will be positive.1 that means we will be happy and healthy. On the other hand, if our thoughts are negative, we will be negative, that is our life will be unhappy and unhealthy. It is believed that, negative emotions such as anger, anxiety, worry, depression and jealous influence our mental and physical health negatively. Therefore the researchers made an attempt in this study to find out the impact of emotions on human health. Thus, the study concludes that the negative emotions such as anger, anxiety, depression, fear and worry and disease are associated. But this may or may not be generalized as it is pertaining to a particular group of people belong to a particular center and a particular area, however it may be a valuable model for a macro study.

scholarly journals Analyses of Water Quality Status Based Domestic Waste Parameters By Using Pollutant Index Method At Tabuk River Barito Selatan Central Kalimantan Province

2018 ◽  
Vol 4 (1) ◽  
pp. 25-29
Author(s):  
Nora Forina ◽  
Emmy Sri Mahreda ◽  
Mijani Rahman ◽  
Mahmud Mahmud
Keyword(s):  
Water Quality ◽  
Human Health ◽  
Pollution Index ◽  
Faecal Coliform ◽  
Domestic Waste ◽  
Index Method ◽  
Central Kalimantan ◽  
Quality Of Water ◽  
Pollution Impact

The study aims to analyze the quality of water at Tabuk River Status by using pollution index method and domestic waste pollution impact to human health. The experiment was conducted in Tabuk River at Barito Selatan Regency Central Kalimantan Province. The samples of water with physical, chemical and biological parameters were taken at 3 points in the morning in the withdraw and flood.  After wards, they were compared with the standard quality of water class II based on Government Regulation Number 82 of 2001 and domestic waste pollution impact to human health description. The results of study revealed that the water quality  of Tabuk River exceeding criteria based on BOD at 48 mg/L in the withdraw  and 22,52 mg/L in the flood, COD at 61,4 mg/L in the withdraw and 47,47 mg/L in the flood, TSS at 338,3 mg/L in the withdraw and 157,4 mg/L in the flood and Faecal Coliform at ≥ 1898 MPN. Whereas based on the index value of pollutants, Tabuk River by the light polluted status of 3,33-3,97, except downstream of withdrawing is medium (pollution index 5,2).  The domestic waste pollution negative impact to human health. Increased faecal coliform in Tabuk River at ≥1898 jml/100 mL (MPN) and 58,33% society coastal river area have diarrhea and itch.

scholarly journals Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Prediction Accuracy ◽  
Data Science ◽  
State Of The Art ◽  
Hybrid Models ◽  
The Other ◽  
Learning Models ◽  
Comprehensive Review

This paper provides the state of the art of data science in economics. Through a novel taxonomy of applications and methods advances in data science are investigated. The data science advances are investigated in three individual classes of deep learning models, ensemble models, and hybrid models. Application domains include stock market, marketing, E-commerce, corporate banking, and cryptocurrency. Prisma method, a systematic literature review methodology is used to ensure the quality of the survey. The findings revealed that the trends are on advancement of hybrid models as more than 51% of the reviewed articles applied hybrid model. On the other hand, it is found that based on the RMSE accuracy metric, hybrid models had higher prediction accuracy than other algorithms. While it is expected the trends go toward the advancements of deep learning models.

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