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Article ; Online: An Integrated Approach to Dairy Farming

Pandey Dev Ras / Mishra Nidhi

BIO Web of Conferences, Vol 82, p

AI and IoT-Enabled Monitoring of Cows and Crops via a Mobile Application

2024 Volume 05020

Abstract: The globalized and fiercely competitive nature of the international market has expanded the range of demands across all sectors of the agri-food business. The dairy business needs to adjust to the prevailing market conditions by enhancing resource ... ...

Abstract	The globalized and fiercely competitive nature of the international market has expanded the range of demands across all sectors of the agri-food business. The dairy business needs to adjust to the prevailing market conditions by enhancing resource efficiency, adopting environmentally sustainable practices, promoting transparency, and ensuring security. The Internet of Things (IoT), Edge Computing (EC), and deep learning play pivotal roles in facilitating these advancements as they enable the digitization of various components within the value chain. Solutions that depend on human observation via visual inspections are susceptible to delayed detection and potential human mistakes and need more scalability. The growing herd numbers raise a significant worry due to the potential negative impact on cow health and welfare, particularly about extended or undiscovered lameness. This condition has severe consequences for cows, eventually leading to a decline in milk output on the farm. To address this issue, an Integrated Approach to Dairy Farming (IA-DF) has been developed, which utilizes sophisticated Artificial Intelligence (AI) and data analytics methodologies using mobile applications to continuously monitor livestock and promptly detect instances of lameness in cattle. Initially, the VGG16 model, pre-trained on the ImageNet dataset, was used as the underlying architecture to extract the sequence of feature vectors associated with each video. This approach was adopted to circumvent the limitations of conventional feature engineering methods, which tend to be both time-consuming and labor-intensive with deep learning-based classification algorithms. IA-DF can extract semantic details from historical data in both forward and backward directions, hence enabling precise identification of fundamental behaviors shown by dairy cows.
Keywords	Microbiology ; QR1-502 ; Physiology ; QP1-981 ; Zoology ; QL1-991
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: IoT Integration for Enhanced Turmeric Cultivation

Pandey Dev Ras / Mishra Nidhi

BIO Web of Conferences, Vol 82, p

A Case Study in Smart Agriculture

2024 Volume 05008

Abstract: The agricultural sector serves as a fundamental cornerstone of the economies of numerous countries, necessitating technological advancements despite limited financial resources. The Internet of Things (IoT) presents a novel aspect within the field of ... ...

Abstract	The agricultural sector serves as a fundamental cornerstone of the economies of numerous countries, necessitating technological advancements despite limited financial resources. The Internet of Things (IoT) presents a novel aspect within the field of soil health monitoring, which has significant implications for advancing smart agriculture and farming practices. Integrating conventional agricultural practices with cutting-edge technologies, such as the IoT and Wireless Sensor Networks (WSN), can foster Smart Agriculture (SA). This paper presents IoT Integration for Enhanced Turmeric Cultivation (IoT-ETmC) in the context of SA. The TurmFox IoT and Edge-to-Cloud (ETC) technology can analyze gathered data and send it to the user through internet connectivity. The work involves the implementation of TurmFox in experiments focused on turmeric cultivation. The results demonstrate a notable improvement in the quality of turmeric as a direct outcome of this intervention. The curcumin levels in the given product are notably higher, ranging from 4450 to 5450 mg per 120g. This paper also aims to demonstrate the intuitive configuration of sensor-to-actuator connections for implementing desired SA. The real-time data obtained from Turmfox provides information on the pH values, moisture levels, and temperature, allowing for observing dynamic variations in environmental conditions within the specified period. The pH level was 6.5 at 09:00, with a moisture content of 51 g/m3 and a temperature of 293 K.
Keywords	Microbiology ; QR1-502 ; Physiology ; QP1-981 ; Zoology ; QL1-991
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Correction to "In Silico Prediction of Fraction Unbound in Human Plasma from Chemical Fingerprint Using Automated Machine Learning".

Mulpuru, Viswajit / Mishra, Nidhi

ACS omega

2023 Volume 8, Issue 49, Page(s) 47313–47314

Abstract: This corrects the article DOI: 10.1021/acsomega.0c05846.]. ...

Abstract	[This corrects the article DOI: 10.1021/acsomega.0c05846.].
Language	English
Publishing date	2023-11-28
Publishing country	United States
Document type	Published Erratum
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.3c08515
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Bacterial worth in genotoxicity assessment studies.

Mishra, Nidhi / Srivastava, Rashmi

Journal of microbiological methods

2023 Volume 215, Page(s) 106860

Abstract: Bacterial-based genotoxicity test systems play a significant role in the detection and evaluation of genotoxicity in vitro and have gained importance due to attributes like wide applicability, speed, high sensitivity, good reproducibility, and simplicity. ...

Abstract	Bacterial-based genotoxicity test systems play a significant role in the detection and evaluation of genotoxicity in vitro and have gained importance due to attributes like wide applicability, speed, high sensitivity, good reproducibility, and simplicity. The Salmonella microsomal mutagenicity assay was created by Ames and colleagues at the beginning of the 1970s, and it was based on the fundamental notion that in auxotrophic bacterial strains with inhibited growth, a mutant gene would revert to its original state on exposure to genotoxicants. This is the most successful and widely used in vitro genotoxicity test. Later, a number of additional test systems that incorporated DNA repair mechanisms including the bacterial SOS response were created. Genetic engineering has further provided significant advancement in these test systems with the development of highly sophisticated bacterial tester strains with significantly increased sensitivity to evaluate the chemical nature of hazardous substances and pollutants. These bacterial bioassays render an opportunity to detect the defined effects of compounds at the molecular level. In this review, all the aspects related to the bacterial system in genotoxicity assessment have been summarized and their role is elaborated concerning real-time requirements and future perspectives.
MeSH term(s)	Reproducibility of Results ; DNA Damage ; Mutagenicity Tests ; Bacteria/genetics ; Mutagenesis
Language	English
Publishing date	2023-11-24
Publishing country	Netherlands
Document type	Journal Article ; Review
ZDB-ID	604916-3
ISSN	1872-8359 ; 0167-7012
ISSN (online)	1872-8359
ISSN	0167-7012
DOI	10.1016/j.mimet.2023.106860
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Article ; Online: Antimicrobial Peptides from Human Microbiome Against Multidrug Efflux Pump of Pseudomonas aeruginosa: a Computational Study.

Mulpuru, Viswajit / Mishra, Nidhi

Probiotics and antimicrobial proteins

2022 Volume 14, Issue 1, Page(s) 180–188

Abstract: The excess use of antibiotics has led to the evolution of multidrug-resistant pathogenic strains causing worldwide havoc. These multidrug-resistant strains require potent inhibitors. Pseudomonas aeruginosa is a lead cause of nosocomial infections and ... ...

Abstract	The excess use of antibiotics has led to the evolution of multidrug-resistant pathogenic strains causing worldwide havoc. These multidrug-resistant strains require potent inhibitors. Pseudomonas aeruginosa is a lead cause of nosocomial infections and also feature in the critical priority list of the world health organization (WHO) for the development of new antibiotics against their antimicrobial resistance. Antimicrobial peptides (AMPs) found in almost every life form from microorganisms to humans are known to defend their hosts against various pathogens. Owing to the diversity of the human microbiome, in this study, we have identified the cell-penetrating AMPs from the human microbiome and studied their inhibitory activity against the outer membrane protein OprM of the MexAB-OprM, a constitutively expressed multidrug efflux pump of the Ps. aeruginosa. Screening of the AMPs from the human microbiome resulted in the identification of 147 cell-penetrating AMPs (CPAMPs). The virtual screening of these CPAMPs against the OprM protein showed significant inhibitory results with the top docked AMP showing binding affinity exceeding -30 kcal/mol. The molecular dynamic simulation determined the interaction stabilities between the AMPs and the OprM at the binding site. Further, the residue interaction networks (RINs) are analyses to identify the inhibitory patterns. Later, these patterns were confirmed by MM-PBSA analysis suggesting that the AMPs are majorly stabilized by electrostatic interactions at the binding site. Thus, the high binding affinity and insights from the molecular interaction signify that the identified CPAMPs from the human microbiome can be further explored as inhibitory agents against multidrug-resistant Ps. aeruginosa.
MeSH term(s)	Anti-Bacterial Agents/metabolism ; Anti-Bacterial Agents/pharmacology ; Antimicrobial Peptides ; Bacterial Outer Membrane Proteins/metabolism ; Humans ; Membrane Transport Proteins/metabolism ; Microbial Sensitivity Tests ; Microbiota ; Pseudomonas aeruginosa/metabolism
Chemical Substances	Anti-Bacterial Agents ; Antimicrobial Peptides ; Bacterial Outer Membrane Proteins ; Membrane Transport Proteins
Language	English
Publishing date	2022-01-17
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2487792-X
ISSN	1867-1314 ; 1867-1306
ISSN (online)	1867-1314
ISSN	1867-1306
DOI	10.1007/s12602-022-09910-y
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Article ; Online: Coumarin-based combined computational study to design novel drugs against Candida albicans.

Maurya, Akhilesh Kumar / Mishra, Nidhi

Journal of microbiology (Seoul, Korea)

2022 Volume 60, Issue 12, Page(s) 1201–1207

Abstract: Candida species cause the most prevalent fungal illness, candidiasis. Candida albicans is known to cause bloodstream infections. This species is a commensal bacterium, but it can cause hospital-acquired diseases, particularly in COVID-19 patients with ... ...

Abstract	Candida species cause the most prevalent fungal illness, candidiasis. Candida albicans is known to cause bloodstream infections. This species is a commensal bacterium, but it can cause hospital-acquired diseases, particularly in COVID-19 patients with impaired immune systems. Candida infections have increased in patients with acute respiratory distress syndrome. Coumarins are both naturally occurring and synthetically produced. In this study, the biological activity of 40 coumarin derivatives was used to create a three-dimensional quantitative structure activity relationship (3D-QSAR) model. The training and test minimum inhibitory concentration values of C. albicans active compounds were split, and a regression model based on statistical data was established. This model served as a foundation for the creation of coumarin derivative QSARs. This is a unique way to create new therapeutic compounds for various ailments. We constructed novel structural coumarin derivatives using the derived QSAR model, and the models were confirmed using molecular docking and molecular dynamics simulation.
MeSH term(s)	Humans ; Candida albicans ; Molecular Docking Simulation ; COVID-19 ; Coumarins/pharmacology ; Coumarins/chemistry ; Quantitative Structure-Activity Relationship ; Candidiasis ; Antifungal Agents/pharmacology ; Antifungal Agents/chemistry
Chemical Substances	Coumarins ; Antifungal Agents
Language	English
Publishing date	2022-11-10
Publishing country	Korea (South)
Document type	Journal Article
ZDB-ID	2012399-1
ISSN	1976-3794 ; 1225-8873
ISSN (online)	1976-3794
ISSN	1225-8873
DOI	10.1007/s12275-022-2279-5
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Article ; Online: Bone marrow sea-blue histiocytes in a case of ITP.

Mishra, Nidhi S

Indian journal of pathology & microbiology

2019 Volume 62, Issue 2, Page(s) 343–344

MeSH term(s)	Adult ; Bone Marrow/pathology ; Cytological Techniques ; Female ; Histiocytes/pathology ; Humans ; Microscopy ; Purpura, Thrombocytopenic, Idiopathic/diagnosis ; Purpura, Thrombocytopenic, Idiopathic/pathology
Language	English
Publishing date	2019-04-10
Publishing country	India
Document type	Case Reports ; Journal Article
ZDB-ID	197621-7
ISSN	0974-5130 ; 0377-4929
ISSN (online)	0974-5130
ISSN	0377-4929
DOI	10.4103/IJPM.IJPM_496_18
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Article: Antimicrobial Peptides from Human Microbiome Against Multidrug Efflux Pump of Pseudomonas aeruginosa: a Computational Study

Mulpuru, Viswajit / Mishra, Nidhi

Probiotics and antimicrobial proteins. 2022 Feb., v. 14, no. 1

2022

Abstract	The excess use of antibiotics has led to the evolution of multidrug-resistant pathogenic strains causing worldwide havoc. These multidrug-resistant strains require potent inhibitors. Pseudomonas aeruginosa is a lead cause of nosocomial infections and also feature in the critical priority list of the world health organization (WHO) for the development of new antibiotics against their antimicrobial resistance. Antimicrobial peptides (AMPs) found in almost every life form from microorganisms to humans are known to defend their hosts against various pathogens. Owing to the diversity of the human microbiome, in this study, we have identified the cell-penetrating AMPs from the human microbiome and studied their inhibitory activity against the outer membrane protein OprM of the MexAB–OprM, a constitutively expressed multidrug efflux pump of the Ps. aeruginosa. Screening of the AMPs from the human microbiome resulted in the identification of 147 cell-penetrating AMPs (CPAMPs). The virtual screening of these CPAMPs against the OprM protein showed significant inhibitory results with the top docked AMP showing binding affinity exceeding −30 kcal/mol. The molecular dynamic simulation determined the interaction stabilities between the AMPs and the OprM at the binding site. Further, the residue interaction networks (RINs) are analyses to identify the inhibitory patterns. Later, these patterns were confirmed by MM-PBSA analysis suggesting that the AMPs are majorly stabilized by electrostatic interactions at the binding site. Thus, the high binding affinity and insights from the molecular interaction signify that the identified CPAMPs from the human microbiome can be further explored as inhibitory agents against multidrug-resistant Ps. aeruginosa.
Keywords	Pseudomonas aeruginosa ; World Health Organization ; antibiotic resistance ; antimicrobial peptides ; cross infection ; evolution ; humans ; lead ; microbiome ; multiple drug resistance ; outer membrane proteins ; probiotics ; transporters
Language	English
Dates of publication	2022-02
Size	p. 180-188.
Publishing place	Springer US
Document type	Article
ZDB-ID	2487792-X
ISSN	1867-1314 ; 1867-1306
ISSN (online)	1867-1314
ISSN	1867-1306
DOI	10.1007/s12602-022-09910-y
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Coumarin-based combined computational study to design novel drugs against Candida albicans

Maurya, Akhilesh Kumar / Mishra, Nidhi

J Microbiol.. 2022 Dec., v. 60, no. 12 p.1201-1207

2022

Abstract	Candida species cause the most prevalent fungal illness, candidiasis. Candida albicans is known to cause bloodstream infections. This species is a commensal bacterium, but it can cause hospital-acquired diseases, particularly in COVID-19 patients with impaired immune systems. Candida infections have increased in patients with acute respiratory distress syndrome. Coumarins are both naturally occurring and synthetically produced. In this study, the biological activity of 40 coumarin derivatives was used to create a three-dimensional quantitative structure activity relationship (3D-QSAR) model. The training and test minimum inhibitory concentration values of C. albicans active compounds were split, and a regression model based on statistical data was established. This model served as a foundation for the creation of coumarin derivative QSARs. This is a unique way to create new therapeutic compounds for various ailments. We constructed novel structural coumarin derivatives using the derived QSAR model, and the models were confirmed using molecular docking and molecular dynamics simulation.
Keywords	COVID-19 infection ; Candida albicans ; acute respiratory distress syndrome ; bacteria ; bioactive properties ; blood flow ; candidiasis ; coumarin ; fungi ; minimum inhibitory concentration ; models ; molecular dynamics ; quantitative structure-activity relationships ; regression analysis ; therapeutics
Language	English
Dates of publication	2022-12
Size	p. 1201-1207.
Publishing place	The Microbiological Society of Korea
Document type	Article ; Online
ZDB-ID	2012399-1
ISSN	1976-3794 ; 1225-8873
ISSN (online)	1976-3794
ISSN	1225-8873
DOI	10.1007/s12275-022-2279-5
Database	NAL-Catalogue (AGRICOLA)

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Article: Mindfulness and Subjective Well-Being of Indian University Students: Role of Resilience during COVID-19 Pandemic.

Bharti, Teena / Mishra, Nidhi / Ojha, Satish Chandra

Behavioral sciences (Basel, Switzerland)

2023 Volume 13, Issue 5

Abstract: The coronavirus (COVID-19) pandemic is presently a global health issue that negatively affects the mental health and well-being of students globally. The latest investigations have recognized the role of mindfulness in individual subjective well-being. ... ...

Abstract	The coronavirus (COVID-19) pandemic is presently a global health issue that negatively affects the mental health and well-being of students globally. The latest investigations have recognized the role of mindfulness in individual subjective well-being. This study explores the mediating role of resilience in the overall relationship between mindfulness and subjective well-being among Indian university students during the COVID-19 pandemic. The data was collected between 10 August 2020 to 24 October 2020 via a self-administered questionnaire from 589 university students in India. Results revealed that resilience has a partial mediating role between mindfulness and subjective well-being. The results substantiate that resilience has an important role in mindfulness, exercising its advantageous effects on mental health of the students in higher education institutions. This research adds to the knowledge base of mindfulness and subjective well-being of university students, especially in contingent times. Lastly, the study contributes to the existing mindfulness theory.
Language	English
Publishing date	2023-04-24
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2651997-5
ISSN	2076-328X
ISSN	2076-328X
DOI	10.3390/bs13050353
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