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Jamil,M. Rha,Eui-Shik 한국자원식물학회 2004 Plant Resources Vol.7 No.3
This study was carried out to investigate seed germination and seedling of cabbage and sugar beet in four treatments of salinity including 0 (control), 0.5, 1.0 and 1.5% NaCl. The results showed that different treatments of salinity had considerable effects on the germination and root and shoot length of cabbage and sugar beet. Percent of germination in both species showed significant decrease with increasing salinity up to 1.5% NaCl. This decrease was more evident in cabbage when compared to sugar beet. The required time for germination increased with high levels of salinity. The seedling growth of both species were inhibited by all salinity levels. Particularly at 1.0 and 1.5% NaCl, no measurable length was observed in cabbage and sugar beet. At 0.5% NaCl root growth of both plant species was more affected as compared to shoot growth by salinity.
Quarriable Knowledge Creation Framework from Unstructured Scientific Documents
Jamil Hussain,Muhammad Afzal,Maqbool Hussain,Sungyoung Lee 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.11
Knowledge graphs (KGs) play a pivotal role in modern applications such as decision-making systems, question answering systems, and searching and retrieval systems. However, the automatic construction of a knowledge graph from unstructured text is a challenging task. Moreover, traditional dictionary-, rule-based and supervised machine learning approaches are not reasonably practical due to their dependency on human-expert annotated resources. It is especially true when a knowledge graph is generated from domain-specific information, updated frequently, such as COVID-19 related information resources. This paper uses a pre-trained embedding model (BERT) to create word vectors from COVID-19 research articles. The proposed model is employed at two levels: entity extraction from the text and querying the knowledge stored in KG.
Jamil Jannati,Amin Yazdaninejadi,Vahid Talavat 한국전기전자재료학회 2017 Transactions on Electrical and Electronic Material Vol.18 No.2
The increased diversity of different types of energy sources requires moving towards smart distribution networks. This paper proposes a probabilistic DG (distributed generation) units planning model to determine technologytype, capacity and location of DG units while simultaneously allocating ESS (energy storage systems) based on predeterminedcapacities. This problem is studied in a wind integrated power system considering loads, prices and windpower generation uncertainties. A suitable method for DG unit planning will reduce costs and improve reliabilityconcerns. Objective function is a cost function that minimizes DG investment and operational cost, purchased energycosts from upstream networks, the defined cost to reliability index, energy losses and the investment and degradationcosts of ESS. Electrical load is a time variable and the model simulates a typical radial network successfully. Theproposed model was solved using the DICOPT solver under GAMS optimization software.
A 10-year overview of chronic orofacial pain in patients at an oral medicine center in Iran
Jamile Bigom Taheri,Fahimeh Anbari,Sahba Khosousi Sani,Seyed Mohammad Mirmoezi,Hamid Reza Khalighi 대한치과마취과학회 2022 Journal of Dental Anesthesia and Pain Medicine Vol.22 No.4
Background: Orofacial pain is defined as pain felt in the soft or hard tissues of the head, face, mouth, and neck. Chronic orofacial pain is often challenging to diagnose and difficult to treat. Due to the lack of available information about the prevalence and clinical form of orofacial pain, this study aimed to evaluate the characteristics of chronic orofacial pain in patients presenting at the Department of Oral Medicine of Shahid Beheshti Dental School between 2012 and 2022. Methods: In this retrospective study, we evaluated the files of 121 patients at the Department of Oral and Maxillofacial Diseases of Shahid Beheshti Dental School, which were completed during 2012–2022. We extracted the required information from these files. Results: In total, 121 files were included in the study (30 male, 91 female). The mean age of the patients was 43.68 ± 16.79 years. The most common diagnosis in patients with chronic orofacial pain was temporomandibular disorders (TMD) (55.3%). Among pain-related factors, psychological factors showed the highest frequency (30.5%). Opening and closing (43.8%) had the highest frequency among factors that increased pain, and the rest (6.6%) had the highest frequency among the factors that reduced pain. Most patients experienced unilateral pain over the masseter area. Most patients reported their pain intensity to be greater than 7 in the verbal analog scale (VAS). The most common symptom associated with pain was joint noise (37.1%). Conclusion: A ten-year retrospective evaluation of patient files showed that more than half of the patients with chronic orofacial pain had TMD.
Jeans-Alfvén instability in quantum dusty magnetoplasmas
Jamil, M.,Rasheed, A.,Amir, M.,Abbas, G.,Jung, Young-Dae Cambridge University Press 2017 Journal of plasma physics Vol.83 No.-
<P>The Jeans instability is examined in quantum dusty magnetoplasmas due to low-frequency magnetosonic perturbations. The fluid model consisting of the momentum balance equation for quantum plasmas, Poisson’s equation for the gravitational potential and Maxwell’s equations for electromagnetic magnetosonic perturbations is solved. The numerical analysis elaborates the significant contribution of magnetic field, electron number density and variable dust mass to the Jeans instability.</P>
Jamil Ur Rahman,Ali Hussain,Adnan Maqbool,Rizwan Ahmed Malik,김민수,김명호 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.66 No.7
In this work, lead-free 0.945B0.5N0.5TiO3-0.055BaZrO3 (BNT-BZ) ceramics were synthesized byusing conventional solid-state reaction method and the effect of different sintering temperatures(1145 − 1200◦C) on its structure and electromechanical properties were investigated. XRD patternsrevealed single a phase-perovskite structure for all samples sintered at different temperatures. An optimum sintering temperature enhanced densification, promoted grain growth, and improvethe dielectric and piezoelectric properties. However, at low (1145◦C) and high (1200◦C) sinteringtemperatures, the BNT-BZ ceramics showed inferior electromechanical properties. BNT-BZ ceramicssintered at an optimum temperature (1175◦C) showed an enhanced strain (0.39%) responseat an applied electric field of 7 kV/mm with a high dynamic piezoelectric coefficient (d∗33 = 557pm/V). These results can be attributed to the high density of the BNT-BZ ceramics sintered at1175◦C.