http://hdl.handle.net/20.500.12323/606 Wed, 26 Aug 2026 01:26:14 GMT 2026-08-26T01:26:14Z http://hdl.handle.net/20.500.12323/8347 Title: Twitter Social Network Data Mining in Healthcare Authors: Huseynova, Humay Abstract: Social media offers a wide range of opportunities to share information. In recent years transparency and open sharing via social media have significantly increased, hence, social media and healthcare became of interest among researchers, physicians, and doctors. Twitter is playing a significant role among other social media types because of its usability, so we can say that its use in healthcare is undeniable. It means that it is possible to see how much Twitter is capable to make sense in solving health problems. The main purpose of my research is to analyze in what capacity twitter is useful for healthcare, diseases, and treatments by using needed twitter data. I am going to use twitter mining techniques with simple Python codes to analyze tweets, to study the nature of sharing public health information on Twitter and to make a prediction for Azerbaijan environment by getting a reasonable conclusion. Description: School of Science and Engineering Major: 266147 - Software of Computer Systems and Networks Supervisor: Dr. Mahammad Sharifov Advisor: Behnam Kiani Tue, 01 Jan 2019 00:00:00 GMT http://hdl.handle.net/20.500.12323/8347 2019-01-01T00:00:00Z http://hdl.handle.net/20.500.12323/8133 Title: Enhanced piezoelectric performance of multilayered piezoelectric nanogenerator based on the PVDF/PZT/graphene Electrospun for IoT-based remote monitoring Authors: Karakulak, Ertugrul; Paralı, Levent; Koç, Muhterem; Tatardar, Farida; Sarı, Ali; Mevsim, Ersoy; Fataliyeva, Valida Abstract: This research focused on improving the performance of piezoelectric nanogenerators by utilizing a piezoelectric nanogenerator (PNG) design that combines stacked piezoelectric electrospun nanofibers with conductive layers placed between them. A polyvinylidene fluoride (PVDF)/lead zirconate titanate (PZT)/unmodified graphene nanoplatelet (GNP) based multilayered structure (MLS) was produced as a parallel connection using a layer-bylayer assembly technique. At a vibrational frequency of 20 Hz, under a resistance load of 50 kΩ, the four-layered PNG reached an open-circuit voltage of 0.18 V(VRMS), a maximum electrical power of 0.166 µW (PRMS) by drawing a current of 1.82 µA (IRMS). The four-layered PNG, which exhibits high capacitance and low impedance characteristics, has increased the full charging voltage (3.96 V) to 80% compared to a single-layered PNG (2.2 V). Furthermore, the electrical power obtained from the four-layered PNG was approximately 4.38 times higher than the single-layered one. The resulting multilayered PNG (M-PNG) can be utilized effectively in self-powered wireless e-health systems for detecting human movement. Wed, 15 Oct 2025 00:00:00 GMT http://hdl.handle.net/20.500.12323/8133 2025-10-15T00:00:00Z http://hdl.handle.net/20.500.12323/7960 Title: Allelic diversity of Azerbaijani bread wheat (Triticum aestivum L.) by SSR markers Authors: Ojaghi, Javid; Nuriyeva, Sevinj; Salayeva, Samira; Eldarov, Mahammad; Akparov, Zeynal Abstract: The objectives of this research entailed studying genetic variation in 50 Azerbaijani wheat accessions from 6 different botanical varieties using simple sequence repeat (SSR) markers. On the basis of the seven SSR primers used in this work, 42 different alleles were observed among the wheat accessions studied with an average of six alleles per locus. Polymorphism information content (PIC) ranged from 0.428 to 0.772, revealing the existence of rich genetic diversity in Azerbaijani wheat accessions. The highest PIC values were calculated with the Xgwm190, Xgwm337, and Xgwm261 SSR primers with a mean value of 0.561. Cluster analysis representing the Nei genetic distance index among all samples divided the genotypes into nine separate groups. The ninth cluster included 12 genotypes, accounting for 24% of all genotypes analyzed. This group also included var. erythrospermum 3 and var. erythroleucon 9, which could not be distinguished based on the seven microsatellite markers; this may be due to their sharing of a similar genetic background. Samples of var. milturum botanical varieties were located at notable genetic distances from the other studied samples. These findings clearly indicate that SSR analysis can be used as a powerful tool for estimating the genotypic similarities, genetic diversity, and fingerprinting of Azerbaijani local wheat varieties. Mon, 21 Apr 2025 00:00:00 GMT http://hdl.handle.net/20.500.12323/7960 2025-04-21T00:00:00Z http://hdl.handle.net/20.500.12323/7415 Title: Exploring non-perturbative corrections in thermodynamics of static dirty black holes Authors: Soroushfar, Saheb; Pourhassan, Behnam; Sakallı, İzzet Abstract: This research delves into an extensive exploration of the thermodynamic characteristics exhibited by a contaminated black hole subject to a uniform electric field, within the theoretical framework of the Einstein-Nonlinear Electrodynamics (ENE)-dilaton theory. The investigation encompasses a thorough analysis of diverse thermodynamic facets, encompassing heat capacity, Helmholtz free energy, and internal energy. Through this comprehensive examination, valuable insights are provided into the distinctive behavior of the black hole when subjected to the influence of the electric field. Moreover, our study embarks on an exploration of the nuanced interplay between quantum effects and the thermodynamic profile, with a particular focus on scrutinizing the quantum-corrected entropy. This approach allows for a deeper understanding of the intricate relationship between quantum mechanics and the thermodynamic attributes exhibited by the system. By doing so, we aim to illuminate the non-perturbative corrections inherent in this intricate system, thereby contributing to a holistic comprehension of the altered thermodynamics characterizing dirty black holes within the confines of the specified theoretical framework. In essence, this research endeavors to uncover the subtleties of the modified thermodynamic landscape governing black holes tainted by external factors, specifically within the context of the ENE-dilaton theory. The outcomes of this study promise to extend our understanding of the intricate interactions within such complex systems, offering valuable insights into the non-perturbative corrections that manifest in their thermodynamic behavior. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.12323/7415 2024-01-01T00:00:00Z