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Article: Editorial: Interaction of nano and microplastic with different plant species: concerns and opportunities.

Ahmad, Muhammad Arslan / Adeel, Muhammad / Zain, Muhammad / Javed, Rabia

2024 Volume 15, Page(s) 1378837

Language	English
Publishing date	2024-02-16
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2024.1378837
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Book ; Online: Groundbreaking but not a Universal Solution

Ringler, Claudia / Akbar, Zain Muhammad

Renewable Energy in Irrigation

2023

Abstract: Also published in German: https://www.welthungerhilfe.de/welternaehrung/rubriken/agrar-ernaehrungspolitik/wie-solarstrom-die-bewaesserungslandwirtschaft-veraendert ... Solar pumps instead of fossil fuels improve access to irrigation in remote rural areas. ... ...

Abstract	Also published in German: https://www.welthungerhilfe.de/welternaehrung/rubriken/agrar-ernaehrungspolitik/wie-solarstrom-die-bewaesserungslandwirtschaft-veraendert Solar pumps instead of fossil fuels improve access to irrigation in remote rural areas. But they are also a temptation to consume more groundwater.
Keywords	irrigation ; renewable energy ; solar powered irrigation systems ; rural areas
Language	English
Publishing date	2023-10-24T17:20:49Z
Publishing country	fr
Document type	Book ; Online
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Article ; Online: Machine Learning-Based Fragility Assessment of Reinforced Concrete Buildings.

Rasheed, Abdur / Usman, Muhammad / Zain, Muhammad / Iqbal, Nadeem

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 5504283

Abstract: In the past, large earthquakes caused the collapse of infrastructure and killed thousands of people in Pakistan, a seismically active region. Therefore, the seismic assessment of infrastructure is a dire need that can be done using the fragility analysis. ...

Abstract	In the past, large earthquakes caused the collapse of infrastructure and killed thousands of people in Pakistan, a seismically active region. Therefore, the seismic assessment of infrastructure is a dire need that can be done using the fragility analysis. This study focuses on the fragility analysis of school buildings in Muzaffarabad district, seismic zone-4 of Pakistan. Fragility curves were developed using incremental dynamic analysis (IDA); however, the numerical analysis is computationally time-consuming and expensive. Therefore, soft computing techniques such as Artificial Neural Network (ANN) and Gene Expression Programming (GEP) were employed as alternative methods to establish the fragility curves for the prediction of seismic performance. The optimized ANN model [5-25-1] was used. The feedforward backpropagation network was considered in this study. To achieve a reliable model, 70% of the data was selected for training and 15% for validation and 15% of data was used for testing the model. Similarly, the GEP model was also employed to predict the fragility curves. The results of both ANN and GEP were compared based on the coefficient of determination,
MeSH term(s)	Humans ; Machine Learning ; Neural Networks, Computer ; Pakistan
Language	English
Publishing date	2022-08-25
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/5504283
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Article ; Online: PQRST wave detection on ECG signals.

Madona, Putri / Basti, Rahmat Ilias / Zain, Muhammad Mahrus

Gaceta sanitaria

2021 Volume 35 Suppl 2, Page(s) S364–S369

Abstract: Objective: One way of detecting the heart disease is to determine the presence of abnormalities in PQRST interval on ECG signals. Therefore, it is expected to be used as a preliminary diagnosis of heart health and to prevent or decrease the mortality ... ...

Abstract	Objective: One way of detecting the heart disease is to determine the presence of abnormalities in PQRST interval on ECG signals. Therefore, it is expected to be used as a preliminary diagnosis of heart health and to prevent or decrease the mortality rate due to heart attack. Methods: This paper uses three main processes: data acquisition, signal preprocessing, and feature extraction. The experiment was done to eighteen subjects recorded for 2min in a relaxed condition to obtain P wave points, QRS complexes, and T waves. Result: Based on the data obtained from the 18 subjects, the average accuracy of point P detection is 98.31%, point Q=98.7%, point R=99.12%, point S=86.27%, and point T=97.99%. Conclusion: The extraction of used features proved capable of detecting P waves, QRS complexes, T waves, as well as the amount of heart rate on all subjects.
MeSH term(s)	Algorithms ; Arrhythmias, Cardiac ; Electrocardiography ; Humans ; Signal Processing, Computer-Assisted
Language	English
Publishing date	2021-12-14
Publishing country	Spain
Document type	Journal Article
ZDB-ID	1038713-4
ISSN	1578-1283 ; 0213-9111
ISSN (online)	1578-1283
ISSN	0213-9111
DOI	10.1016/j.gaceta.2021.10.052
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Article ; Online: Learning-based control approaches for service robots on cloth manipulation and dressing assistance: a comprehensive review.

Nocentini, Olivia / Kim, Jaeseok / Bashir, Zain Muhammad / Cavallo, Filippo

Journal of neuroengineering and rehabilitation

2022 Volume 19, Issue 1, Page(s) 117

Abstract: Background: Service robots are defined as reprogrammable, sensor-based mechatronic devices that perform useful services in an autonomous or semi-autonomous way to human activities in an everyday environment. As the number of elderly people grows, ... ...

Abstract	Background: Service robots are defined as reprogrammable, sensor-based mechatronic devices that perform useful services in an autonomous or semi-autonomous way to human activities in an everyday environment. As the number of elderly people grows, service robots, which can operate complex tasks like dressing tasks for disabled people, are being demanded increasingly. Consequently, there is a growing interest in studying dressing tasks, such as putting on a t-shirt, a hat, or shoes. Service robots or robot manipulators have been developed to accomplish these tasks using several control approaches. The robots used in this kind of application are usually bimanual manipulator (i.e. Baxter robot) or single manipulators (i.e. Ur5 robot). These arms are usually used for recognizing clothes and then folding them or putting an item on the arm or on the head of a person. Methods: This work provides a comprehensive review of the most relevant attempts/works of robotic dressing assistance with a focus on the control methodology used for dressing tasks. Three main areas of control methods for dressing tasks are proposed: Supervised Learning (SL), Learning from Demonstration (LfD), and Reinforcement Learning (RL). There are also other methods that cannot be classified into these three areas and hence they have been placed in the other methods section. This research was conducted within three databases: Scopus, Web of Science, and Google Scholar. Accurate exclusion criteria were applied to screen the 2594 articles found (at the end 39 articles were selected). For each work, an evaluation of the model is made. Conclusion: Current research in cloth manipulation and dressing assistance focuses on learning-based robot control approach. Inferring the cloth state is integral to learning the manipulation and current research uses principles of Computer Vision to address the issue. This makes the larger problem of control robot based on learning data-intensive; therefore, a pressing need for standardized datasets representing different cloth shapes, types, materials, and human demonstrations (for LfD) exists. Simultaneously, efficient simulation capabilities, which closely model the deformation of clothes, are required to bridge the reality gap between the real-world and virtual environments for deploying the RL trial and error paradigm. Such powerful simulators are also vital to collect valuable data to train SL and LfD algorithms that will help reduce human workload.
MeSH term(s)	Humans ; Aged ; Robotics ; Disabled Persons ; Algorithms ; Computer Simulation ; Bandages
Language	English
Publishing date	2022-11-03
Publishing country	England
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2164377-5
ISSN	1743-0003 ; 1743-0003
ISSN (online)	1743-0003
ISSN	1743-0003
DOI	10.1186/s12984-022-01078-4
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Article ; Online: Cryptic footprint of thallium in soil-plant systems; A review.

Shakoor, Noman / Tariq, Samama / Adeel, Muhammad / Azeem, Imran / Nadeem, Muhammad / Zain, Muhammad / Li, Yuanbo / Quanlong, Wang / Aslam, Rabia / Rui, Yukui

Chemosphere

2024 Volume 356, Page(s) 141767

Abstract: The current review highlights the complex behavior of thallium (Tl) in soil and plant systems, offering insight into its hazardous characteristics and far-reaching implications. The research investigates the many sources of Tl, from its natural existence ...

Abstract	The current review highlights the complex behavior of thallium (Tl) in soil and plant systems, offering insight into its hazardous characteristics and far-reaching implications. The research investigates the many sources of Tl, from its natural existence in the earth crust to its increased release through anthropogenic activities such as industrial operations and mining. Soil emerges as a significant reservoir of Tl, with diverse physicochemical variables influencing bioavailability and entrance into the food chain, notably in Brassicaceae family members. Additionally, the study highlights a critical knowledge gap concerning Tl influence on legumes (e.g., soybean), underlining the pressing demand for additional studies in this crucial sector. Despite the importance of leguminous crops in the world food supply and soil fertility, the possible impacts of Tl on these crops have received little attention. As we traverse the ecological complexity of Tl, this review advocates the collaborative research efforts to eliminate crucial gaps and provide solutions for reducing Tl detrimental impacts on soil and plant systems. This effort intends to pave the path for sustainable agricultural practices by emphasizing the creation of Tl-tolerant legume varieties and revealing the complicated dynamics of Tl-plant interactions, assuring the long-term durability of our food systems against the danger of Tl toxicity.
Language	English
Publishing date	2024-03-25
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	120089-6
ISSN	1879-1298 ; 0045-6535 ; 0366-7111
ISSN (online)	1879-1298
ISSN	0045-6535 ; 0366-7111
DOI	10.1016/j.chemosphere.2024.141767
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Article ; Online: Comparison Between Two Types Of Matrix Systems For Contact Tightness In Class-Ii Composite Restorations.

Asif, Muhammad / Khattak, Imran / Qureshi, Asim / Zain, Muhammad / Aslam, Naveed / Khan, Muhammad Izaz

Journal of Ayub Medical College, Abbottabad : JAMC

2023 Volume 35, Issue 2, Page(s) 253–258

Abstract: Background: The reconstruction of proximal defects with tight contacts has always been a challenge for dental clinicians, especially with composite material. Recent literature shows that the most frequently used matrix systems for the restoration of ... ...

Abstract	Background: The reconstruction of proximal defects with tight contacts has always been a challenge for dental clinicians, especially with composite material. Recent literature shows that the most frequently used matrix systems for the restoration of proximal cavities are circumferential or sectional matrix band systems. The objective of this study was to compare the contact tightness that is achieved with these two matrix band systems when using composite material. Methods: A total of 30 patients, i.e., 60 cavities were selected in this quasi-experimental study. Patients with two cavities in the posterior teeth were selected. Both the cavities were restored with the circumferential system, i.e., Tofflemire and sectional matrix band system, i.e., Palodent plus on the same appointment. Hence both systems were used in every patient and then contact tightness assess was ed based on an evaluation criterion, i.e., Fédération Dentaire Internationale clinical criteria for evaluation of contact in direct and indirect restorations. To make a comparison between the two systems Chi square test was used and p<0.05. Results: The mean age of the patients in the study was 31 years (SD, 7.59 years) with a range from 18 to 45 years. Most of the contact tightness in the Palodent matrix system was score 1 (n=33, 55%) and score 2 (n=17, 28.3%) while in Tofflemire was score 4 (n=28, 46.7%) and score 5 (n=19, 31.7%). Statistical analysis showed significance (p=.037) between Palodent matrix system contact tightness and Tofflemire. Conclusion: The sectional matrix band system was statistically superior to the circumferential matrix band system in achieving a tighter contact for class II composite restorations.
MeSH term(s)	Humans ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Composite Resins ; Matrix Bands ; Chi-Square Distribution ; Margins of Excision
Chemical Substances	Composite Resins
Language	English
Publishing date	2023-07-09
Publishing country	Pakistan
Document type	Journal Article
ZDB-ID	2192473-9
ISSN	1819-2718 ; 1025-9589
ISSN (online)	1819-2718
ISSN	1025-9589
DOI	10.55519/JAMC-02-11541
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Article: Implementation of machine learning in DNA barcoding for determining the plant family taxonomy.

Riza, Lala Septem / Zain, Muhammad Iqbal / Izzuddin, Ahmad / Prasetyo, Yudi / Hidayat, Topik / Abu Samah, Khyrina Airin Fariza

Heliyon

2023 Volume 9, Issue 10, Page(s) e20161

Abstract: The DNA barcoding approach has been used extensively in taxonomy and phylogenetics. The differences in certain DNA sequences are able to differentiate and help classify organisms into taxa. It has been used in cases of taxonomic disputes where morphology ...

Abstract	The DNA barcoding approach has been used extensively in taxonomy and phylogenetics. The differences in certain DNA sequences are able to differentiate and help classify organisms into taxa. It has been used in cases of taxonomic disputes where morphology by itself is insufficient. This research aimed to utilize hierarchical clustering, an unsupervised machine learning method, to determine and resolve disputes in plant family taxonomy. We take a case study of Leguminosae that historically some classify into three families (Fabaceae, Caesalpiniaceae, and Mimosaceae) but others classify into one family (Leguminosae). This study is divided into several phases, which are: (i) data collection, (ii) data preprocessing, (iii) finding the best distance method, and (iv) determining disputed family. The data used are collected from several sources, including National Center for Biotechnology Information (NCBI), journals, and websites. The data for validation of the methods were collected from NCBI. This was used to determine the best distance method for differentiating families or genera. The data for the case study in the Leguminosae group was collected from journals and a website. From the experiment that we have conducted, we found that the Pearson method is the best distance method to do clustering ITS sequence of plants, both in accuracy and computational cost. We use the Pearson method to determine the disputed family between Leguminosae. We found that the case study of Leguminosae should be grouped into one family based on our research.
Language	English
Publishing date	2023-09-21
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e20161
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Article: Mechanistic Insights and Potential Therapeutic Approaches in PolyQ Diseases via Autophagy.

Jain, Mukul / Patil, Nil / Abdi, Gholamreza / Abbasi Tarighat, Maryam / Mohammed, Arifullah / Ahmad Mohd Zain, Muhammad Rajaei / Goh, Khang Wen

Biomedicines

2023 Volume 11, Issue 1

Abstract: Polyglutamine diseases are a group of congenital neurodegenerative diseases categorized with genomic abnormalities in the expansion of CAG triplet repeats in coding regions of specific disease-related genes. Protein aggregates are the toxic hallmark for ... ...

Abstract	Polyglutamine diseases are a group of congenital neurodegenerative diseases categorized with genomic abnormalities in the expansion of CAG triplet repeats in coding regions of specific disease-related genes. Protein aggregates are the toxic hallmark for polyQ diseases and initiate neuronal death. Autophagy is a catabolic process that aids in the removal of damaged organelles or toxic protein aggregates, a process required to maintain cellular homeostasis that has the potential to fight against neurodegenerative diseases, but this pathway gets affected under diseased conditions, as there is a direct impact on autophagy-related gene expression. The increase in the accumulation of autophagy vesicles reported in neurodegenerative diseases was due to an increase in autophagy or may have been due to a decrease in autophagy flux. These reports suggested that there is a contribution of autophagy in the pathology of diseases and regulation in the process of autophagy. It was demonstrated in various disease models of polyQ diseases that autophagy upregulation by using modulators can enhance the dissolution of toxic aggregates and delay disease progression. In this review, interaction of the autophagy pathway with polyQ diseases was analyzed, and a therapeutic approach with autophagy inducing drugs was established for disease pathogenesis.
Language	English
Publishing date	2023-01-09
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2720867-9
ISSN	2227-9059
ISSN	2227-9059
DOI	10.3390/biomedicines11010162
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Article: Developing a tactical irrigation and nitrogen fertilizer management strategy for winter wheat through drip irrigation.

Zain, Muhammad / Si, Zhuanyun / Ma, Haijiao / Cheng, Minghan / Khan, Adam / Mehmood, Faisal / Duan, Aiwang / Sun, Chengming

Frontiers in plant science

2023 Volume 14, Page(s) 1231294

Abstract: Introduction: Agricultural activities in the North China Plain are often challenged by inadequate irrigation and nutrient supply. Inadequate and improper resource utilization may impose negative impacts on agricultural sustainability. To counteract the ... ...

Abstract	Introduction: Agricultural activities in the North China Plain are often challenged by inadequate irrigation and nutrient supply. Inadequate and improper resource utilization may impose negative impacts on agricultural sustainability. To counteract the negative impacts, a deeper understanding of the different resource management strategies is an essential prerequisite to assess the resource saving potential of crops. Methods: We explored plausible adaptation strategies including drip irrigation lateral spacings of 40 and 80 cm (hereafter referred to as LS Results and discussion: The consecutive 2 years (2017-2018 and 2018-2019) of field study results show that growing winter wheat under LS
Language	English
Publishing date	2023-08-10
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2023.1231294
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