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A Critical Review of Community Resilience Building Framework: Contexts of Climate Change and Disasters in Bangladesh

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Journal of Geoscience and Environment Protection 2024年第9期12卷 315-334页

作者： Abdul alim Shaikh Mousumi Halder Muhammad ramzan ali Ruhul Amin Md Saifur Rahman Md. Kamruzzaman Khulna University Khulna Bangladesh Climate Change Program Christian Commission for Development in Bangladesh (CCDB) Dhaka Bangladesh International Rescue Committee-UK Coxs Bazar Bangladesh Tropical and International Forestry Technical University Dresden Cotta Bau Pienner Strae 7 01737 Tharandt Germany Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh

The concept of community resilience in the contexts of climate change and disasters draws increasing attention and interest from practitioners and researchers in recent development discourse. This paper provides a critical review of six selected frameworks of community resilience building operationalized in Bangladesh over the span of years. In other words, this study aims to contribute to the understanding of resilience through a systematic analysis of the dimensions and indicators of community resilience frameworks. The analysis shows that comprehensive and effective community resilience frameworks should incorporate the missing components linked to fundamental elements of good governance, economic growth, environmental sustainability, social transformation, and capacity development. The paper concludes by highlighting a few other areas of grave concern that need more appropriate attention, considering the severe threats posed by climate change and natural disasters in line with sustainable development goals. Finally, this study recommends further research regarding the effectiveness of these frameworks in different climatic and disaster contexts that can lead the concept into a new dimension of community resilience and sustainability.

关键词： Community Resilience Resilience Building Framework Resilience Indicators Climate Change Disaster Bangladesh

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On the Exact Solution for Axisymmetric Flow and Heat Transfer over a Nonlinear Radially Stretching Sheet

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Chinese Physics Letters 2012年第8期29卷 168-171页

作者： Azeem Shahzad ramzan ali Masood Khan Department of Mathematics Quaid-i-Azam UniversityIslamabad 44000Pakistan

We investigate the boundary-layer flow and heat transfer of a magnetohydrodynamic viscous fluid over a nonlinear radially porous stretching sheet within a porous *** flow is generated due to a nonlinear stretching sheet and influenced by a continuous suction/blowing of the fluid through the porous *** governing momentum and thermal boundary layer equations are converted into ordinary differential equations by appropriate similarity *** exact solution for the velocity and the temperature fields are derived in the form of an incomplete Gamma *** analytic solutions are found by the homotopy analysis *** graphical results for velocity and temperature fields are presented and ***,the numerical values of the skin friction coefficient and the Nusselt number are calculated and discussed.

关键词： function stretching porous

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An Ingenious IoT Based Crop Prediction System Using ML and EL

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Computers, Materials & Continua 2024年第4期79卷 183-199页

作者： Shabana ramzan Yazeed Yasin Ghadi Hanan Aljuaid Aqsa Mahmood Basharat ali Department of Computer Science&IT Government Sadiq CollegeWomen UniversityBahawalpur63100Pakistan Department of Computer Science/Software Engineering Al Ain UniversityAl Ain64141UAE Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)Riyadh11671Saudi Arabia Agronomic Research Station Bahawalpur63100Pakistan

Traditional farming procedures are time-consuming and expensive as based on manual labor. Farmers haveno proper knowledge to select which crop is suitable to grow according to the environmental factors and soilcharacteristics. This is the main reason for the low yield of crops and the economic crisis in the agricultural sectorof the different countries. The use of modern technologies such as the Internet of Things (IoT), machine learning,and ensemble learning can facilitate farmers to observe different factors such as soil electrical conductivity (EC),and environmental factors like temperature to improve crop yield. These parameters play a vital role in suggestinga suitable crop to cope the food scarcity. This paper proposes a systemcomprised of twomodules, first module usesstatic data and the second module takes hybrid data collection (IoT-based real-time data and manual data) withmachine learning and ensemble learning algorithms to suggest the suitable crop in the farm to maximize the *** is used to train the model that predicts the crop. This system proposed an intelligent and low-cost solutionfor the farmers to process the data and predict the suitable *** implemented the proposed system in the *** efficiency and accuracy of the proposed system are confirmed by the generated results to predict the crop.

关键词： Machine learning Internet of Things sensors ensemble learning

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Sino-Pakistani Relations In a Changing World

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Beijing Review 2006年第23期49卷 60-61页

作者： JAMSHED AYAZ KHAN M. ramzan ali former president of the Institute of Regional Studies (IRS) Islamabad a research analyst at the IRS

Pakistan and China share strong common bonds of history, culture and geography Every time we went to China we witnessed a different country, given its sustained development. China is building everywhere, or rather it is rebuilding at an amazing rate that has not been equaled anywhere except perhaps in Europe, rising from the ashes of the Second World War.

关键词： Sino-Pakistani Relations In a Changing World

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A New Multistep Approach to Identify Leaf-Off Poplar Plantations Using Airborne Imagery

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Journal of Geographic Information System 2022年第6期14卷 634-651页

作者： ramzan ali Khorrami Zahra Naeimi Michael Wing Hossein Ahani Sayed M. Bateni Forests and Rangelands Research Department Mazandaran Agricultural and Natural Resources Research and Education Center Agricultural Research Education and Extension Organization (AREEO) Sari Iran Department of Physics University of Tehran Tehran Iran Forest Engineering Resources and Management Oregon State University Corvallis OR USA Ministry of Agriculture Tehran Iran Department of Civil and Environmental Engineering and Water Resources Research Center University of Hawaii at Manoa Honolulu HI USA

Identification of type of leafless trees using both fall imagery and field-based surveys is a global concern in the forest science community. Few studies were devoted to separate leafless trees from others in the growth season using remote sensing imagery. But this study was the first attempt to identify the type of leafless tree in the fall imagery. We investigated the potential of the Simple Linear Iterative Clustering (SLIC) and k-mean segmentation techniques, and texture and color image analyses to identify leafless poplar trees using imagery collected in a leaf-off season. For the first time in this study, the star shaped feature identifier was found through a binary image that was successful in identifying leaf-off poplar plantations. Optimal threshold values of Normalized Difference Vegetation Index (NDVI) and Normalized Green Index (NGI) indices were able to differentiate highly vegetated land, green farms, and gardens from the grasses that sometimes grow between poplar plantation lines. A Coefficient of Variation (CV) of red color intensity and histogram of value were also successful in separating bare soil and other land cover types. Imagery was processed and analyzed in a Matlab software. In this study, leafless poplar plantation was identified with a user accuracy of 84% and the overall accuracy was obtained 81.3%. This method provides a framework for identification of leafless poplar trees that may be beneficial for distinguishing other types of leafless trees.

关键词： Leafless Poplar Plantations Fall Ultracam Imagery Star Shaped-Feature K-Mean Segmentation Texture and Color Image Analysis

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Drought-responsive genes expressed predominantly in root tissues are enriched with homotypic cis-regulatory clusters in promoters of major cereal crops

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The Crop Journal 2017年第3期5卷 195-206页

作者： Muhammad ramzan Khan Imran Khan Zahra Ibrar Jens Léon ali Ahmed Naz Institute of Crop Science and Resource Conservation(INRES) Department of Crop Genetics and BiotechnologyRheinische Friedrich-Wilhelms University of BonnGermany National Centre for Bioinformatics(NCB) Quaid-i-Azam UniversityIslamabadPakistan National Institute for Genomics and Advanced Biotechnology(NIGAB) National Agricultural Research CentrePark RoadIslamabadPakistan

The root appears to be the most relevant organ for breeding drought stress ***, our knowledge about temporal and spatial regulation of drought-associated genes in the root remains fragmented, especially in crop plants. We performed a meta-analysis of expression divergence of essential drought-inducible genes and analyzed their association with cis-elements in model crops and major cereal crops. Our analysis of42 selected drought-inducible genes revealed that these are expressed primarily in roots,followed by shoot, leaf, and inflorescence tissues, especially in wheat. Quantitative real-time RT-PCR analysis confirmed higher expression of TaDREB2 and TaAQP7 in roots,correlated with extensive rooting and drought-stress tolerance in wheat. A promoter scan up to 2 kb upstream of the translation start site using phylogenetic footprinting revealed708 transcription factor binding sites, including drought response elements(DREs), auxin response elements(Aux REs), MYCREs/MYBREs, ABAREs, and ERD1 in 19 selected ***, these elements were organized into clusters of overlapping transcription factor binding sites known as homotypic clusters(HCTs), which modulate drought physiology in plants. Taken together, these results revealed the expression preeminence of major drought-inducible genes in the root, suggesting its crucial role in drought adaptation. The occurrence of HCTs in drought-inducible genes highlights the putative evolutionary modifications of crop plants in developing drought adaptation. We propose that these DNA motifs can be used as molecular markers for breeding drought-resilient cultivars, particularly in the cereal crops.

关键词： Gene expression Promoter DREB cis-regulatory elements Phylogeny Drought adaptation

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A Transfer Learning Based Approach for COVID-19 Detection Using Inception-v4 Model

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Intelligent Automation & Soft Computing 2023年第2期35卷 1721-1736页

作者： ali Alqahtani Shumaila Akram Muhammad ramzan Fouzia Nawaz Hikmat Ullah Khan Essa Alhashlan Samar MAlqhtani Areeba Waris Zain ali College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Computer Science and Information Technology University of SargodhaSargodha40100Pakistan School of Systems and Technology University of Management and TechnologyLahore54782Pakistan Department of Computer Science COMSATS University IslamabadWah CampusIslamabad47040Pakistan Department of Medical Imaging King Khaled HospitalNajran61441Saudi Arabia Electrical&Electronics Engineering Department Universiti TeknologiPetronas31750Malaysia Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan

Coronavirus(COVID-19 or SARS-CoV-2)is a novel viral infection that started in December 2019 and has erupted rapidly in more than 150 *** rapid spread of COVID-19 has caused a global health emergency and resulted in governments imposing lock-downs to stop its *** is a signiﬁ-cant increase in the number of patients infected,resulting in a lack of test resources and kits in most *** overcome this panicked state of affairs,researchers are looking forward to some effective solutions to overcome this situa-tion:one of the most common and effective methods is to examine the X-radiation(X-rays)and computed tomography(CT)images for detection of ***-ever,this method burdens the radiologist to examine each ***,to reduce the burden on the radiologist,an effective,robust and reliable detection system has been developed,which may assist the radiologist and medical specia-list in effective detecting of *** proposed a deep learning approach that uses readily available chest radio-graphs(chest X-rays)to diagnose COVID-19 *** proposed approach applied transfer learning to the Deep Convolutional Neural Network(DCNN)model,Inception-v4,for the automatic detection of COVID-19 infection from chest X-rays *** dataset used in this study contains 1504 chest X-ray images,504 images of COVID-19 infection,and 1000 normal images obtained from publicly available medical *** results showed that the proposed approach detected COVID-19 infection with an overall accuracy of 99.63%.

关键词： COVID-19 transfer learning deep learning artiﬁcial intelligence chest X-rays machine learning

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Inhibitive efficacy of Nymphoides indica rhizome extract onα-glucosidase, and cross-link formation of advanced glycation end products

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Journal of Traditional Chinese Medicine 2021年第3期41卷 376-380页

作者： Muhammad Hanif Muzammil Ahmad Khan Muhammad ramzan Abdul Rafey ali Zaman Imran Aziz Ama'null'ah Adnan Amin Gomal Centre of Biochemistry and Biotechnology(GCBB) Gomal University D.I.Khan29050Pakistan NPRL Department of PharmacognosyFaculty of PharmacyGomal University D.I.Khan29050Pakistan FVAS Gomal University D.I.Khan29050Pakistan

OBJECTIVE: To investigate the inhibitive efficacy of Nymphoides Indica(L.) Kuntze rhizome extract onα-glucosidase and on cross-link formation of advanced glycation end products(AGEs).METHODS: The plant extracts were prepared by cold maceration and fractionated in solvents of diverse polarity. The in vitro α-glucosidase inhibition assay, fluorescence spectrometry and SDS-PAGE analysis was performed for antiglycation ***: During α-glucosidase inhibition assay significant inhibition by chloroform(0.43 mg/mL)and methanol fractions(0.66 mg/mL) was *** the AGEs inhibition assay, both oxidative(BSA-MGO) and non-oxidative(BSA-glucose)modes were employed. The inhibition of AGEs by total extract was considered moderate(IC_(50)0.10 mg/mL) as a result of non-oxidative mode, whereas in case of oxidative mode(BASA-MGO) no activity was recorded. Among fractions the methanolic fraction presented significant results both in oxidative(IC_(50)0.01 mg/mL) and non-oxidative modes(IC_(50) 0.3 mg/mL). Likewise the ethyl acetate fraction was more active in non-oxidative mode(IC_(50)0.04 mg/mL) compared to oxidative mode(IC_(50)0.32 mg/mL).During assay for inhibition of cross-link formation,the chloroform fraction significantly inhibited cross-link formation in a dose dependent ***: It was finally concluded that N. Indica rhizome extract possesses significant properties that inhibit α-glucosidase, and AGEs cross-link formation.

关键词： Nymphoides Indica alpha-glucosidases glycation end products advanced protein cross links antiglycation

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Antibacterial efficacy of the seed extracts of Melia azedarach against some hospital isolated human pathogenic bacterial strains

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Asian Pacific Journal of Tropical Biomedicine 2011年第6期1卷 452-455页

作者： Abdul Viqar Khan Qamar Uddin Ahmed M ramzan Mir Indu Shukla Athar ali Khan Department of Botany Faculty of Life SciencesAligarh Muslim University Department of Pharmaceutical Chemistry Facully of PharmacyInternational Islamic University Malaysia Department of Microbiology Faculty of Life SciencesAligarh Muslim University

Objective:To investigate the antibacterial potential of the polar and non-polar extracts of the seeds of Melia azedarach(***) L.(Meliaceae) against eighteen hospital isolated human pathogenic bacterial ***:Petrol,benzene,ethyl acetate,methanol,and aqueous extracts at five different concentrations(1,2,5,10 and 15 mg/mL) were *** diffusion method was followed to evaluate the antibacterial ***:All extracts of the seeds demonstrated significant antibacterial activity against tested *** all extracts,ethyl acetate extract revealed the highest inhibition *** present study also favored the traditional uses reported ***:Results of this study strongly confirm that the seed extracts of *** could be effective antibiotics,both in controlling gram-positive and gram-negative human pathogenic infections.

关键词： Melia azedarach Antibacterial efficacy Pathogenic bacteria

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Classification of static spherically symmetric perfect fluid space-times via conformal vector fields in f(T)gravity

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Communications in Theoretical Physics 2022年第12期74卷 108-116页

作者： Fiaz Hussain Murtaza ali Muhammad ramzan Sabiha Qazi Department of Mathematics The Islamia University of BahawalpurPakistan Faculty of Engineering Sciences GIK Institute of Engineering Sciences and TechnologyTopiSwabiKPKPakistan

In this paper,we classify static spherically symmetric(SS)perfect fluid space-times via conformal vector fields(CVFs)in f(T)*** this analysis,we first explore static SS solutions by solving the Einstein field equations in f(T)***,we implement a direct integration technique to classify the resulting *** the classification,there arose 20 *** each case thoroughly,we came to know that in three cases the space-times under consideration admit proper CVFs in f(T)*** one case,the space-time admits proper homothetic vector fields,whereas in the remaining 16 cases either the space-times become conformally flat or they admit Killing vector fields.

关键词： spherically symmetric space-times conformal vector fields f(T)gravity

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