Tracheobronchitis in children with tracheostomy tubes: overview of a challenging problem

2022 ◽  
Author(s):  
Alexander Gipsman ◽  
Moshe Prero ◽  
Philip Toltzis ◽  
Daniel Craven
Keyword(s):  
Challenging Problem ◽  
Tracheostomy Tubes

True Imaginings Integrating Panentheism and A Personal View of God

2019 ◽  
Vol 11 (1) ◽  
pp. 61
Author(s):  
Klaus Müller
Keyword(s):  
Challenging Problem ◽  
Personal View ◽  
Ontological Commitments ◽  
As If

The perhaps most challenging problem for a panentheistic paradigm in Christian god-talk consists in integrating the trait of personhood in the monistic horizon of this approach. A very helpful way to this goal seems to be the concept of imagination. Its logic of an “as if” represents a modified variation of Kant`s idea of the postulates of reason. Reflections of Jürgen Werbick, Douglas Headley, and Volker Gerhardt substantiate the philosophical and theological capabilities of this solution which also include a sensibility for the ontological commitments included in the panentheistic approach.

Segmentation of Touching Hand written Telugu Characters by using Drop Fall Algorithm

2012 ◽  
Vol 3 (2) ◽  
pp. 343-346
Author(s):  
Adabala Venkata Srinivasa Rao ◽  
D R Sandeep ◽  
V B Sandeep ◽  
S Dhanam Jaya
Keyword(s):  
Challenging Problem ◽  
Indian Language ◽  
Segmentation Accuracy ◽  
Selection Of

Recognition of Indian language scripts is a challenging problem. Work for the development of complete OCR systems for Indian language scripts is still in infancy. Complete OCR systems have recently been developed for Devanagri and Bangla scripts. Research in the field of recognition of Telugu script faces major problems mainly related to the touching and overlapping of characters. Segmentation of touching Telugu characters is a difficult task for recognizing individual characters. In this paper, the proposed algorithm is for the segmentation of  touching Hand written Telugu characters. The proposed method using Drop-fall algorithm is based on the moving of a marble on either side of the touching characters for selection of the point from where the cutting of the fused components should take place. This method improvers the segmentation accuracy higher than the existing one.

Detection and localization of helipad in autonomous UAV landing: a coupled visual-inertial approach with artificial intelligence

2020 ◽  
Vol 71 (7) ◽  
pp. 828-839
Author(s):  
Thinh Hoang Dinh ◽  
Hieu Le Thi Hong
Keyword(s):  
Neural Network ◽  
Unmanned Aerial Vehicles ◽  
Fiducial Marker ◽  
Localization Algorithm ◽  
Challenging Problem ◽  
Autonomous Landing ◽  
Aerial Vehicles ◽  
Set Up ◽  
Detection And Localization ◽  
Rotary Wing

Autonomous landing of rotary wing type unmanned aerial vehicles is a challenging problem and key to autonomous aerial fleet operation. We propose a method for localizing the UAV around the helipad, that is to estimate the relative position of the helipad with respect to the UAV. This data is highly desirable to design controllers that have robust and consistent control characteristics and can find applications in search – rescue operations. AI-based neural network is set up for helipad detection, followed by optimization by the localization algorithm. The performance of this approach is compared against fiducial marker approach, demonstrating good consensus between two estimations

Pancytopenia: A Challenging Problem for Treating Physician

2018 ◽  
Vol 2 (01) ◽  
pp. 22-28
Author(s):  
Md. Rezaul Karim Chowdhury ◽  
Amina Begum ◽  
Md. Haroon Ur Rashid ◽  
Md. Kamrul Hasan
Keyword(s):  
Bone Marrow ◽  
Physical Examination ◽  
Blood Smear ◽  
Peripheral Blood Smear ◽  
Bone Marrow Examination ◽  
Challenging Problem ◽  
Trephine Biopsy ◽  
Life Threatening ◽  
Underlying Pathology ◽  
Careful History

Pancytopenia is an important clinico-haematological entity and striking feature of many serious and life-threatening illnesses. Many haematological and non-haematological diseases involve the bone marrow primarily or secondarily and cause pancytopenia. Decrease in haemopoietic cell production, ineffective haemopoiesis and peripheral sequestration or destruction of the cells are the main pathophysiology of pancytopenia. The cause of pancytopenia thus may be lying in the bone marrow or in the periphery or both. Careful history, physical examination, simple blood work, review of the peripheral blood smear, sometimes bone marrow examination and trephine biopsy are required for diagnosis. Treatment and prognosis depend on the severity of pancytopenia and underlying pathology.

A method for autonomous collision-free navigation of a quadrotor UAV in unknown tunnel-like environments

Robotica ◽  
2021 ◽  
pp. 1-27
Author(s):  
Taha Elmokadem ◽  
Andrey V. Savkin
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Autonomous Underwater Vehicles ◽  
Three Dimensional ◽  
Underwater Vehicles ◽  
Practical Implementation ◽  
Challenging Problem ◽  
Quadrotor Uav ◽  
Navigation Algorithm ◽  
Aerial Vehicles ◽  
Quadrotor Uavs

Abstract Unmanned aerial vehicles (UAVs) have become essential tools for exploring, mapping and inspection of unknown three-dimensional (3D) tunnel-like environments which is a very challenging problem. A computationally light navigation algorithm is developed in this paper for quadrotor UAVs to autonomously guide the vehicle through such environments. It uses sensors observations to safely guide the UAV along the tunnel axis while avoiding collisions with its walls. The approach is evaluated using several computer simulations with realistic sensing models and practical implementation with a quadrotor UAV. The proposed method is also applicable to other UAV types and autonomous underwater vehicles.

scholarly journals Computation offloading through mobile vehicles in IoT-edge-cloud network

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Jun Long ◽  
Yueyi Luo ◽  
Xiaoyu Zhu ◽  
Entao Luo ◽  
Mingfeng Huang
Keyword(s):  
Reinforcement Learning ◽  
Energy Consumption ◽  
Low Cost ◽  
Computation Offloading ◽  
Mobile Edge Computing ◽  
Challenging Problem ◽  
Learning Technique ◽  
Cloud Network ◽  
The City ◽  
Task Offloading

AbstractWith the developing of Internet of Things (IoT) and mobile edge computing (MEC), more and more sensing devices are widely deployed in the smart city. These sensing devices generate various kinds of tasks, which need to be sent to cloud to process. Usually, the sensing devices do not equip with wireless modules, because it is neither economical nor energy saving. Thus, it is a challenging problem to find a way to offload tasks for sensing devices. However, many vehicles are moving around the city, which can communicate with sensing devices in an effective and low-cost way. In this paper, we propose a computation offloading scheme through mobile vehicles in IoT-edge-cloud network. The sensing devices generate tasks and transmit the tasks to vehicles, then the vehicles decide to compute the tasks in the local vehicle, MEC server or cloud center. The computation offloading decision is made based on the utility function of the energy consumption and transmission delay, and the deep reinforcement learning technique is adopted to make decisions. Our proposed method can make full use of the existing infrastructures to implement the task offloading of sensing devices, the experimental results show that our proposed solution can achieve the maximum reward and decrease delay.

scholarly journals SAUTE: sequence assembly using target enrichment

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Alexandre Souvorov ◽  
Richa Agarwala
Keyword(s):  
De Bruijn Graph ◽  
Challenging Problem ◽  
Target Enrichment ◽  
Rna Seq ◽  
Sequencing Technology ◽  
Insert Size ◽  
Systematic Biases ◽  
Target Sequences ◽  
Genomic Regions ◽  
Higher Sensitivity

Abstract Background Illumina is the dominant sequencing technology at this time. Short length, short insert size, some systematic biases, and low-level carryover contamination in Illumina reads continue to make assembly of repeated regions a challenging problem. Some applications also require finding multiple well supported variants for assembled regions. Results To facilitate assembly of repeat regions and to report multiple well supported variants when a user can provide target sequences to assist the assembly, we propose SAUTE and SAUTE_PROT assemblers. Both assemblers use de Bruijn graph on reads. Targets can be transcripts or proteins for RNA-seq reads and transcripts, proteins, or genomic regions for genomic reads. Target sequences are nucleotide and protein sequences for SAUTE and SAUTE_PROT, respectively. Conclusions For RNA-seq, comparisons with Trinity, rnaSPAdes, SPAligner, and SPAdes assembly of reads aligned to target proteins by DIAMOND show that SAUTE_PROT finds more coding sequences that translate to benchmark proteins. Using AMRFinderPlus calls, we find SAUTE has higher sensitivity and precision than SPAdes, plasmidSPAdes, SPAligner, and SPAdes assembly of reads aligned to target regions by HISAT2. It also has better sensitivity than SKESA but worse precision.

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