SGLT-2 Inhibitors in Heart Failure: A Review of Current Evidence

Talha Khawaja M.,Anker Stefan D.,Butler Javed 대한심부전학회 2023 International Journal of Heart Failure Vol.5 No.2

Sodium-glucose co-transporter 2 (SGLT-2) inhibitors are the latest addition to guideline-directed medical therapy in heart failure (HF) with reduced ejection fraction with recent trials suggesting a significant reduction in adverse cardiovascular outcomes in patients with HF with mildly reduced and preserved ejection fraction. SGLT-2 inhibitors have evolved as metabolic drugs due to their multi-system effects and are indicated for the management of HF across the ejection fraction spectrum, type 2 diabetes, and chronic kidney disease. There is ongoing research to explore the mechanistic effects of SGLT-2 inhibitors in HF and to evaluate their use in worsening HF and after myocardial infarction. This review focuses on the evidence for SGLT-2 inhibitors from type 2 diabetes cardiovascular outcome and primary HF trials and discusses ongoing research related to their use in cardiovascular disease.

Fuzzy Logic Based Energy Management For Wind Turbine, Photo Voltaic And Diesel Hybrid System

Talha, Muhammad,Asghar, Furqan,Kim, Sung Ho Korean Institute of Intelligent Systems 2016 한국지능시스템학회논문지 Vol.26 No.5

Rapid population growth with high living standards and high electronics use for personal comfort has raised the electricity demand exponentially. To fulfill this elevated demand, conventional energy sources are shifting towards low production cost and long term usable alternative energy sources. Hybrid renewable energy systems (HRES) are becoming popular as stand-alone power systems for providing electricity in remote areas due to advancement in renewable energy technologies and subsequent rise in prices of petroleum products. Wind and solar power are considered feasible replacement to fossil fuels as the prediction of the fuel shortage in the near future, forced all operators involved in energy production to explore this new and clean source of power. Presented paper proposes fuzzy logic based Energy Management System (EMS) for Wind Turbine (WT), Photo Voltaic (PV) and Diesel Generator (DG) hybrid micro-grid configuration. Battery backup system is introduced for worst environmental conditions or high load demands. Dump load along with dump load controller is implemented for over voltage and over speed protection. Fuzzy logic based supervisory control system performs the power flow control between different scenarios such as battery charging, battery backup, dump load activation and DG backup in most intellectual way.

A Deep Learning Based Approach for Strawberry Yield Prediction via Semantic Graphics

Talha Ilyas,Hyongsuk Kim 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

In Korea, strawberry producers lack efficient and precise yield forecasts, which would allow them to deploy optimal manpower, equipment, and other resources for harvesting, shipping, and marketing. Reliable estimation of the quantity of strawberry fruit with respect to their ripeness level is critical for forecasting the upcoming strawberry production. Typically, the quantity and ripeness of fruits are estimated manually, which is labor-intensive and time-consuming. In this case, automated yield prediction based on robotic agriculture is a realistic option. We provide in this study an automated strawberry fruit recognition and counting system for accurate and reliable yield prediction. This paper proposes a unique neural network training approach for strawberry fruit counting and ripeness detection that combines semantic graphics for data annotation with a fully convolutional neural network (FCN). Semantic graphics, the suggested data annotation approach, is straightforward to apply, and the desired targets can be quickly tagged with little effort. Moreover, the proposed FCN is an enhanced encoder-decoder network designed specifically for efficient learning of semantic graphics. Quantitative analysis of proposed algorithm showed 4.47% increase in detection accuracy over prior techniques while running at higher frames per second.

Generic Intent-based Networking Platform for E2E Network Slice Orchestration & Lifecycle Management

Talha Ahmed Khan,Khizar Abbass,Adeel Rafique,Afaq Muhammad,Wang-Cheol Song 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09

5G claims the service provisioning for a variety of new applications increasing orchestration complexity. Additionally, many different orchestrators and platforms have been developed over recent years to handle and control the network infrastructures. However, each of the orchestration platforms requires different expertise for handling them. The diversity and dynamicity in terms of requirements made it very complex for the operators to handle runtime operations. As with the increasing number of devices, the amount of traffic streamed over network deviates drastically making it impossible for network operators to handle the network operations manually. Hence automated platforms are a dire need, this work proposed a generic intent-based system that can automatically orchestrate and manage network lifecycle over multiple domains, sites and orchestrators. This system will include the orchestration over multiple domains access, transport and core and it also includes the use of Machine Learning for prediction of resource status for proactive decision making to manage the slice lifecycle automatically.

Tumor Detection via Breast Histology Images

Talha Ilyas,Hyongsuk Kim 제어로봇시스템학회 2021 제어로봇시스템학회 각 지부별 자료집 Vol.2021 No.12

Biopsied tissue detection and classification within Breast Histopathology Images is a fundamental prerequisite to estimate the aggressiveness of breast cancer. The development and fully automated pipelines for tissue detection and classification enables the analysis of thousands of tissues within a whole slide histology image, which opens possibilities for analysis and prognosis of breast tumor. There are multiple annotated histology datasets available for evaluating the performance of machine learning models. The number of samples in these datasets is quite limited and usually the annotations provided are in the form of pair of points which points to the center of different types of cells. Most of the works in this field approach this problem by cropping a patch of the WSI usually 50x50 pixels (centered at given point), and then classify these patches with a simple classifier CNN. In this work we propose a method of converting the provided annotations (center points) into bounding box annotations. Then we use Faster-RCNN to detect and classify different types of cells in the WSI in a fully automated pipeline. We also propose data augmentation technique to increase the dataset size for Breast Histology images. Our proposed approach showed an average precision of 70.34% for classification and detection of tumor tissues.

IBN-based: AI-driven Multi-Domain e2e Network Orchestration Approach

Talha Ahmed Khan,AFAQ MUHAMMAD,기자르 아바쓰,송왕철 한국통신학회 2020 KNOM Review Vol.23 No.2

Networks are growing faster than ever before causing a multi-domain complexity. The diversity, variety and dynamic nature of network traffic and services require enhanced orchestration and management approaches. While many standard orchestrators and network operators are resulting in an increase of complexity for handling E2E slice orchestration. Besides, there are multiple domains involved in E2E slice orchestration including access, edge, transport and core network each having their specific challenges. Hence, handling of multi-domain, multi-platform and multi-operator based networking environments manually requires specified experts and using this approach it is impossible to handle the dynamic changes in the network at runtime. Also, the manual approaches towards handling such complexity is always error-prone and tedious. Hence, this work proposes an automated and abstracted solution for handling E2E slice orchestration using an intent-based approach. It abstracts the domains from the operators and enable them to provide their orchestration intention in the form of high-level intents. Besides, it actively monitors the orchestrated resources and based on current monitoring stats using the machine learning it predicts future utilization of resources for updating the system states. Resulting in a closed-loop automated E2E network orchestration and management system.

Generic Blockchain based Policy and Configuration Framework for Next-Generation Networks

Talha Ahmed Khan(탈하 아흐메드 칸),Javier Diaz Rivera(하비에르 디아즈 리베라),Asif Mehmood(아시프 메흐무드),Wang-Cheol Song(송왕철) 한국통신학회 2019 한국통신학회 학술대회논문집 Vol.2019 No.6

Generic Intent-Based Networking approach for end-to-end Slice Orchestration and Lifecycle Management

Talha Ahmed Khan,Muhammad Afaq,Khizar Abbas,Adeel Rafiq,Asif Mehmood,Wang-Cheol Song 한국통신학회 2020 한국통신학회 학술대회논문집 Vol.2020 No.2

A Relationship of Sex Hormone Levels and Erectile Dysfunction: Which Tests Should Be Done Routinely?

Talha M?ezzino?lu,Bilal G?m??,G?khan Temelta?,Zeki Arı,Co?kun B?y?ksu 연세대학교의과대학 2007 Yonsei medical journal Vol.48 No.6

Purpose: In this study, the relationship between sex hormone levels and erectile dysfunction (ED), as well as the necessity of routinely measuring sex hormone levels were evaluated. Materials and Methods: This study included one hundred patients admitted to a urology clinic for sexual dysfunction. To determine the hormone levels, following the history (included IIEF-5 score) and physical examination, triple blood samples were collected at intervals of 15 minutes between 08:00 and 10:00 am. Total and free testosterone, prolactin, follicle stimulating hormone and luteinizing hormone levels were studied. Results: Mean age was 43 (23-80) years. IIEF-5 score was less than 21 [9.8-4.3 (3-19)] in all study groups. There was a statistically significant correlation between tT and FSH, as well as between LH and FSH in Pearson (r =-0.513, p<0.001, respectively) and also in Spearman tests (r=-0.224, p=0.042 and r=-0.459, p<0.001, respectively). However, there was no correlation between age and serum hormone levels (p>0.05). Of the 100 patients, 18 (18%) had low tT, 77 (77%) had normal and 5 (5%) had high tT levels. No statistically significant correlation was found between decreased libido and tT levels (p>0.05). Twelve (66.6%) of the 18 patients with low tT had normal libido. Conclusion: Analyzing the medical history in detail and performing a thorough physical examination can reduce the need for excessive studies and consultations, and enables patients to save time and costs.

The effects of flavanoid on the treatment of hepatopulmonary syndrome

Talha Atalay,Murat Cakir,Ahmet Tekin,Tevfik Kucukkartallar,Suleyman Kargin,Adil Kartal,Adnan Kaynak 대한외과학회 2013 Annals of Surgical Treatment and Research(ASRT) Vol.85 No.5

Purpose: Hepatopulmonary syndrome is an arterial oxygenation disorder brought about by advanced liver failure and pulmonary vascular dilatations. The reason why hypoxia develops in hepatopulmonary syndrome depends on the broadening of perialveolar capillary veins. Our study aims to investigate the effects of Flavanoid on hepatopulmonary syndrome through its inhibition of nitric oxide. Methods: Three groups, each having 8 rats, were formed within the scope of our study. Group I (the control group) only received laparatomy, group II received choledoch ligation, and group III was administered Flavanoid (90% flavonoid diosmin, 10% flavonoid hesperidin) following choledoch ligation. The rats were administered Flavanoid at week two following choledoch ligation. The rats’ livers and lungs were examined histopathologically following a five-week follow-up and the perialveolar vein diameters were measured. Arterial blood gases and biochemical parameters were evaluated. Results: It was seen that fibrosis and oxidative damage in the liver with obstructive jaundice as well as hypoxia with pulmonary perialveolar vein sizes were significantly lower than the other group with cirrhosis formed through the administration of Flavanoid. Conclusion: We have concluded that Flavanoid administration might be useful in the treatment of hypoxia in hepatopulmonary syndrome and the delay of cirrhosis contraction.