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IMPLEMENTASI PROBLEM TREE ANALYSIS PANDEMI COVID-19

Mohammad Zulkarnain, Amardeep Kaur Kaur Singh, M Fakhri Kurniawan
2022 Molucca Medica  
Kecepatan transmisi Covid-19 dan tingginya angka kematian akibat Covid-19 menyebabkan dibutuhkannya upaya untuk memutus rantai penularan Covid-19. Salah satu strategi yang dapat digunakan untuk menemukan permasalahan yang menyebabkan cepatnya penularan atau transmisi Covid-19 adalah strategi problem tree analysis. Tujuan kajian pustaka ini adalah untuk menjelaskan strategi problem tree analysis dalam upaya menurunkan angka penyebaran dari Covid-19. Problem Tree Analysis merupakan sebuah metode
more » ... erencanaan berdasarkan kebutuhan. Tiga tahapan dalam proses Problem Tree Analysis ini adalah analisis masalah terkait dengan subjek, analisis tujuan, dan analisis strategi. Hasil utama dari strategi ini berupa diagram berbentuk batang pohon yang mewakili fokus masalah, akar mewakili penyebab masalah dan cabangnya berupa dampak dari masalah tersebut. Menurut Problem Tree Analysis yang telah dirancang dalam penelitian ini, penyebab dari cepatnya penyebaran Covid-19 di Indonesia adalah tingkat kepadatan penduduk yang tinggi, penerapan handhygine yang kurang baik, sanksi bagi pelanggar kebijakan yang belum optimal dan masih banyak aktivitas di luar rumah seperti pasar atau pusat perdagangan. Kesulitan dalam menerapkan PSBB, rendahnya pengetahuan masyarakat akan bahaya Covid-19, pelanggaran pada kebijakan yang ditetapkan pemerintah, sebagian besar masyarakat memiliki ekonomi menengah atau menengah ke bawah diduga merupakan akar dari penyebab masalah cepatnya penyebaran Covid-19 di Indonesia. Diharapkan dengan mengetahui sebab akibat dari cepatnya penyebaran Covid-19 di Indonesia ini dapat membantu untuk menurunkan angka penyebaran dari Covid-19 di Indonesia.
doi:10.30598/molmed.2021.v14.i2.153 fatcat:e52jcu525bh2nlzwx5qz65rasi

Tingles, Tetany, and Electrolyte Derangements

Amardeep Singh, Ramandeep Kaur, Bhagwan Dass, Abutaleb Ejaz
2020 Cureus  
We report a patient who presented with anxiety, hyperventilation, perioral paresthesia, and tingling in the fingers associated with hypomagnesemia, hypocalcemia, and hypokalemia. We discuss the possible mechanistic basis for sequence of events that may have led to this presentation.
doi:10.7759/cureus.7854 pmid:32483505 pmcid:PMC7255070 fatcat:32u7fppxifa5lmggihrkgbail4

Chest Physiotherapy in Acute Muco-obstructive Lung Disease

Ramandeep Kaur, Bhagwan Dass, Abutaleb A Ejaz, Amardeep Singh
2020 Cureus  
Kaur et al. Cureus 12(2): e7056. DOI 10.7759/cureus.7056 2 of 3 Kaur et al. Cureus 12(2): e7056. DOI 10.7759/cureus.7056 3 of 3  ... 
doi:10.7759/cureus.7056 pmid:32219050 pmcid:PMC7086112 fatcat:tex5pd7tmze3tbr2n5mhkhnuv4

Hybrid Approach for Named Entity Recognition

Kanwalpreet SinghBajwa, Amardeep Kaur
2015 International Journal of Computer Applications  
Kamaldeep kaur and Vishal Gupta (2012, June). Name Entity Recognition for Punjabi Language.  ... 
doi:10.5120/20713-3048 fatcat:drjyggezinf3lnwyba4v77vrnm

A Comparative Study of Code Offloading Techniques and Application Partitioning Methods in Mobile Cloud Computing

Amardeep Kaur, Kamaljit Kaur
2016 International Journal of Computer Applications  
Mobile cloud computing allows the execution of computation-intensive applications of mobile devices in computational clouds, and this process of executing in cloud by sending the application VM/Components is called application/code/component offloading. Offloading is an effective method to save the execution time and energy consumption of mobile devices. Thus it extends the battery life of mobile devices. Applications are first partitioned into offloadable and non-offloadable components, which
more » ... re then transferred to remote server for execution. The objective of this paper is to explore the different techniques of offloading and application partitioning methods. These techniques are thoroughly reviewed in this paper. This paper also highlights the comparison of different techniques on the basis of their contribution, merits, demerits and also on the basis of improvement in execution time, energy consumption, communication time.
doi:10.5120/ijca2016910410 fatcat:ug2lplpzwzc5xayoididcl2riq

A Review Paper on Various Task Scheduling Algorithms in Cloud Computing

Ramandeep Kaur, Amardeep Kaur
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Cloud computing is a new topic in the field of information technology, which is developing drastically. Cloud computing delivers an elastic execution environment of resources over the internet. Task scheduling is a challenging issue to gain maximum profit and to efficiently increase working of cloud computing. In this paper we are studying task scheduling algorithms and various issues related to them i.e. how to allocate resources and maximize the profit while guaranteeing quality of service
more » ... S). This paper surveys Particle Swarm Optimization (PSO), Particle Swarm-simulated Annealing (P-S) algorithm and improved PSO. To get maximum benefit from resources, optimized utilization of resources is important and for this scheduling plays an important role.
doi:10.23956/ijarcsse/v7i5/0178 fatcat:yk3em5aybbd6hc4nwemm6pc7gq

Sensors for Structural Health Monitoring in Civil Infrastructure

Yinan Zhang, Lei Yuan, Zhi Zhou, Amardeep Kaur
2018 Journal of Sensors  
doi:10.1155/2018/6023059 fatcat:v7d5pijiarbcrlgnmsqnj3jtmm

An Automated Brain Tumor Detection in MRI using Firefly Optimized Segmentation

Prabhjot Kaur, Amardeep Kaur
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Amardeep Kaur, Assistant Professor, and Punjabi University Regional Centre for IT & Management, Mohali.  ... 
doi:10.23956/ijarcsse.v7i8.72 fatcat:3e2lxadl7nhyzc6rdqrypiskia

Formal Verification of Device Discovery Mechanism using UPPAAL

Shivangi Arry, Amardeep Kaur
2012 International Journal of Computer Applications  
Wireless communication among the mobile devices is the growing area of research. Ad hoc networks are created among them for exchanging information over the small distances. The distance among the devices uniquely determines the topology of these ad hoc networks. Bluetooth is a low-cost and low-power wireless technology used to form short-range wireless ad hoc networks. It is based on frequency hopping technique. In order to guarantee the accurate functioning and to verify the connectivity of
more » ... devices, there are numerous tools and techniques exits. Formal verification is one of the technique used to validate and verify the correctness of any protocol. Using the verification tool UPPAAL a Bluetooth ad hoc system is modeled to formally verify the device discovery mechanism. In the tool, an ad hoc network consisting of Bluetooth transmitter and receiver is designed using frequency hopping technique. The transmitter and receiver verified the properties in the tool. These properties are for checking the connectivity of transmitter and receiver and reception of data among them. The connectivity of transmitter and receiver is confirmed by verifying the receivers reply to the transmitter and data connectivity is verified by checking the energy level of receiver. From the simulation, it is found that the high energy level of receiver depicts the acceptance of data and the zero energy level depicts the non-acceptance of data. These results were verified using the verifier component of the tool and proved to be satisfied.
doi:10.5120/9392-3816 fatcat:me4fuxvuhbao5b5fyd4zhchlwy

Protein and starch characteristics of milled rice from different cultivars affected by transplantation date

Parmeet Kaur, Priyanka Pal, Amardeep Singh Virdi, Amritpal Kaur, Narpinder Singh, Gulshan Mahajan
2016 Journal of food science and technology  
24.5 g of distilled water) was evaluated using dynamic rheometer (Anton PaarRheo Plus/32 model MCR-301) as described earlier (Kaur et al. 2013) .  ... 
doi:10.1007/s13197-016-2293-x pmid:27784913 pmcid:PMC5055883 fatcat:o5efihuhqref3ba64jfkzh6v34

Reaction of active methylene compounds with 4-dimethylaminobenzalaniline and nematicidal activity of the products

Amardeep Kaur, V. K. Kaul, M. R. Manrao
2008 Zenodo  
Department of Chemistry, Department of Plant Pathology, Punjab Agricultural University, Ludhiana-141 004, Punjab, India Manuscript received 7 January 2008, revised 30 June 2008, accepted 16 July 2008 Condensation of active methylene compounds (1-7) with 4-dimethylaminobenzalaniline resulted in the formation of addition-elimination products la-7a respectively. The products were characterized on the basis of elemental analysis, m.m.p. determination and spectral studies and were evaluated for
more » ... nematicidal activity against Ditylenchus myceliophagus and Caenorhabditis elegans by aqueous in vitro screening technique.
doi:10.5281/zenodo.5820533 fatcat:5twhbaan5zhmdk743n24xf32uq

Analysis of Vascular Pattern Recognition Using Neural Network

Navjot Kaur, Amardeep Singh
2015 International Journal of Mathematical Sciences and Computing  
Biometric identification using vein patterns is a recent technique. The vein patterns are unique to each individual even in twins and they don"t change over age except their size. As veins are beneath the skin it is difficult to forge. BOSPHOROUS hand vein database is used in this work. Hand vein images are uploaded first and key points using Scale Invariant Feature Transform (SIFT) are extracted. Then the neural network is used for training these images. Finally neural network is used for
more » ... ng these images to check whether the image used for testing matches with the existing database or not. Results are computed like False Acceptation Rate (FAR), False Rejection Rate (FRR), accuracy and error per bit stream.
doi:10.5815/ijmsc.2015.03.02 fatcat:nqisrrghnngh3jtjasnds6ppgm

PerSort Facilitates Characterization and Elimination of Persister Subpopulation in Mycobacteria

Vivek Srinivas, Mario L. Arrieta-Ortiz, Amardeep Kaur, Eliza J. R. Peterson, Nitin S. Baliga, Charles Langelier
2020 mSystems  
Mycobacterium tuberculosis (MTB) generates phenotypic diversity to persist and survive the harsh conditions encountered during infection. MTB avoids immune effectors and antibacterial killing by entering into distinct physiological states. The surviving cells, persisters, are a major barrier to the timely and relapse-free treatment of tuberculosis (TB). We present for the first time, PerSort, a method to isolate and characterize persisters in the absence of antibiotic or other pressure. We
more » ... strate the value of PerSort to isolate translationally dormant cells that preexisted in small numbers within Mycobacterium species cultures growing under optimal conditions but that dramatically increased in proportion under stress conditions. The translationally dormant subpopulation exhibited multidrug tolerance and regrowth properties consistent with those of persister cells. Furthermore, PerSort enabled single-cell transcriptional profiling that provided evidence that the translationally dormant persisters were generated through a variety of mechanisms, including vapC30, mazF, and relA/spoT overexpression. Finally, we demonstrate that notwithstanding the varied mechanisms by which the persister cells were generated, they converge on a similar low-oxygen metabolic state that was reversed through activation of respiration to rapidly eliminate persisters fostered under host-relevant stress conditions. We conclude that PerSort provides a new tool to study MTB persisters, enabling targeted strategies to improve and shorten the treatment of TB. IMPORTANCE Mycobacterium tuberculosis (MTB) persists and survives antibiotic treatments by generating phenotypically heterogeneous drug-tolerant subpopulations. The surviving cells, persisters, are a major barrier to the relapse-free treatment of tuberculosis (TB), which is already killing >1.8 million people every year and becoming deadlier with the emergence of multidrug-resistant strains. This study describes PerSort, a cell sorting method to isolate and characterize, without antibiotic treatment, translationally dormant persisters that preexist in small numbers within Mycobacterium cultures. Characterization of this subpopulation has discovered multiple mechanisms by which mycobacterial persisters emerge and unveiled the physiological basis for their dormant and multidrug-tolerant physiological state. This analysis has discovered that activating oxygen respiratory physiology using l-cysteine eliminates preexisting persister subpopulations, potentiating rapid antibiotic killing of mycobacteria under host-relevant stress. PerSort serves as a new tool to study MTB persisters for enabling targeted strategies to improve and shorten the treatment of TB.
doi:10.1128/msystems.01127-20 pmid:33262242 fatcat:ne5veyl5knh5restbf2ajt4olu

PAIN AND FUNCTIONAL INDEPENDENCE: IMPACT IN ROAD TRAFFIC ACCIDENTS

Amardeep Kaur, Simran Bhatti, Sandeep Kumar, Smati Sambyal
2017 International Journal of Advanced Research  
Corresponding Author:-Amardeep Kaur.  ... 
doi:10.21474/ijar01/5236 fatcat:nwz764ttpbeyzi24iwnavibu44

A novel algorithm for fast and scalable subspace clustering of high-dimensional data

Amardeep Kaur, Amitava Datta
2015 Journal of Big Data  
Rapid growth of high dimensional datasets in recent years has created an emergent need to extract the knowledge underlying them. Clustering is the process of automatically finding groups of similar data points in the space of the dimensions or attributes of a dataset. Finding clusters in the high dimensional datasets is an important and challenging data mining problem. Data group together differently under different subsets of dimensions, called subspaces. Quite often a dataset can be better
more » ... erstood by clustering it in its subspaces, a process called subspace clustering. But the exponential growth in the number of these subspaces with the dimensionality of data makes the whole process of subspace clustering computationally very expensive. There is a growing demand for efficient and scalable subspace clustering solutions in many Big data application domains like biology, computer vision, astronomy and social networking. Apriori based hierarchical clustering is a promising approach to find all possible higher dimensional subspace clusters from the lower dimensional clusters using a bottom-up process. However, the performance of the existing algorithms based on this approach deteriorates drastically with the increase in the number of dimensions. Most of these algorithms require multiple database scans and generate a large number of redundant subspace clusters, either implicitly or explicitly, during the clustering process. In this paper, we present SUBSCALE, a novel clustering algorithm to find non-trivial subspace clusters with minimal cost and it requires only k database scans for a k-dimensional data set. Our algorithm scales very well with the dimensionality of the dataset and is highly parallelizable. We present the details of the SUBSCALE algorithm and its evaluation in this paper.
doi:10.1186/s40537-015-0027-y fatcat:6horbqe7zvdztbbigtxwiyz2fm
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