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GEOMETRIC INEQUALITIES FOR WARPED PRODUCTS SUBMANIFOLDS IN GENERALIZED COMPLEX SPACE FORMS
Mohd Aquib,Mohd Aslam,Michel Nguiffo Boyom,Mohammad Hasan Shahid Korean Mathematical Society 2023 대한수학회논문집 Vol.38 No.1
In this article, we derived Chen's inequality for warped product bi-slant submanifolds in generalized complex space forms using semisymmetric metric connections and discuss the equality case of the inequality. Further, we discuss non-existence of such minimal immersion. We also provide various applications of the obtained inequalities.
Fazal Shahid,Mohammad Khursheed Alam,Mohd Fadhli Khamis 대한치과교정학회 2016 대한치과교정학회지 Vol.46 No.3
Objective: The primary aim of the study was to generate new prediction equations for the estimation of maxillary and mandibular canine and premolar widths based on mandibular incisors and first permanent molar widths. Methods: A total of 2,340 calculations (768 based on the sum of mandibular incisor and first permanent molar widths, and 1,572 based on the maxillary and mandibular canine and premolar widths) were performed, and a digital stereomicroscope was used to derive the the digital models and measurements. Mesiodistal widths of maxillary and mandibular teeth were measured via scanned digital models. Results: There was a strong positive correlation between the estimation of maxillary (r = 0.85994, r² = 0.7395) and mandibular (r = 0.8708, r² = 0.7582) canine and premolar widths. The intraclass correlation coefficients were statistically significant, and the coefficients were in the strong correlation range, with an average of 0.9. Linear regression analysis was used to establish prediction equations. Prediction equations were developed to estimate maxillary arches based on Y = 15.746 + 0.602 × sum of mandibular incisors and mandibular first permanent molar widths (sum of mandibular incisors [SMI] + molars), Y = 18.224 + 0.540 × (SMI + molars), and Y = 16.186 + 0.586 × (SMI + molars) for both genders, and to estimate mandibular arches the parameters used were Y = 16.391 + 0.564 × (SMI + molars), Y = 14.444 + 0.609 × (SMI + molars), and Y = 19.915 + 0.481 × (SMI + molars). Conclusions: These formulas will be helpful for orthodontic diagnosis and clinical treatment planning during the mixed dentition stage.
Aquib, Mohd,Shahid, Mohammad Hasan Department of Mathematics 2018 Kyungpook mathematical journal Vol.58 No.1
In this paper, we prove the optimal inequalities for the generalized normalized ${\delta}$-Casorati curvature and the normalized scalar curvature for different submanifolds in generalized (${\kappa},{\mu}$)-space forms. The proof is based on an optimization procedure involving a quadratic polynomial in the components of the second fundamental form. We also characterize the submanifolds on which equalities hold.
A Review On Nigella sativa (Kalonji) Seeds: A Universal Healer
Areefa, Anjum,Mohd, Aslam,Shah, Chaudhary Shahid Cellmed Orthocellular Medicine and Pharmaceutical 2020 셀메드 (CellMed) Vol.10 No.2
Nigella sativa commonly known as Black seed, Black cumin or Kalonji (Family Ranunculaceae) is a widely used for its miraculous healing power. Use of N. sativa seeds and oil has splendid historical past in diverse traditional systems of medicine and food. In Tibb-e-Nabwi (Prophetic Medicine), it is considered as one of the greatest forms of healing medicine. Phytochemically; it contains fixed oil, protein, alkaloids saponin and essential oil. Therapeutic properties of this plant are due to the presence of thymoquinone which is one of major active component and has different beneficial properties. In Unani System of Medicine the diseases are treated with nontoxic herbal drugs. As per Unani classical literature N. sativa perform various pharmacological actions like carminative, anti-inflammatory, analgesic, diuretic, emmenagogue, galactagogue, expectorant etc. Ample of phytochemical, pharmacological and clinical researches has been executed on N. sativa., which may include antidiabetic, anticancer, immunomodulator, analgesic, antimicrobial, anti-inflammatory, bronchodilator, hepato-protective, renal protective, gastro-protective, antioxidant properties, etc. This review is an effort to summarize the literature on scientific researches of pharmacognostical characteristics, chemical composition and pharmacological activities of the kalonji seeds
Majid Jamali Mohd,Bin Zeya Shahid,Ikram Mohsin 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.2
The Indian species of Asecodes Fӧrster (Eulophidae: Entedoninae) are reviewed. Six species are recognized for the genus, of which four species are described as new: A. doganlari Jamali & Zeya, sp. nov., A. massi Jamali & Zeya, sp. nov., A. sela Jamali & Zeya, sp. nov, A. zhui Jamali & Zeya, sp. nov.. One species: A. delucchii (Bouˇcek) is recorded for the first time from the country.
Anticonvulsant potential of callus cultures of Convolvulus microphyllus Sieb.
Ahmad, Sayeed,Zafar, Rasheed-Uz,Shahid, Mohd Kyung Hee Oriental Medicine Research Center 2007 Oriental pharmacy and experimental medicine Vol.7 No.1
Callus cultures of Convolvulus microphyllus Sieb. was induced on Murashige and Skoog's medium supplemented with 2,4-dichloro phenoxy acetic acid, 6-benzyl adenine, indole acetic acid and kinetin (1 ppm each). Methanolic extracts of whole plant, leaf, stem and leaf and stem calli were tested for anticonvulsant activity against standard drug phenytoin using maximal electroshock model on mice. It was observed that the animals treated with methanolic extracts of stem callus, leaf callus and whole plant (200 mg/kg, oral) showed significant protection against tonic convulsions induced by transcorneal electroshock. Anticonvulsant activity of methanolic extract of stem callus was comparable to that of standard drug phenytoin.
Anticonvulsant potential of callus cultures of Convolvulus microphyllus Sieb.
Sayeed Ahmad,Rasheed-uz Zafar,Mohd Shahid 경희대학교 융합한의과학연구소 2007 Oriental Pharmacy and Experimental Medicine Vol.7 No.1
Callus cultures of Convolvulus microphyllus Sieb. was induced on Murashige and Skoog’s medium supplemented with 2,4-dichloro phenoxy acetic acid, 6-benzyl adenine, indole acetic acid and kinetin (1 ppm each). Methanolic extracts of whole plant, leaf, stem and leaf and stem calli were tested for anticonvulsant activity against standard drug phenytoin using maximal electroshock model on mice. It was observed that the animals treated with methanolic extracts of stem callus, leaf callus and whole plant (200 mg/kg, oral) showed significant protection against tonic convulsions induced by transcorneal electroshock. Anticonvulsant activity of methanolic extract of stem callus was comparable to that of standard drug phenytoin.
Zingiber officinale Rosc.: A traditional herb with medicinal properties
Shaikh Imtiyaz,Khaleequr Rahman,Arshiya Sultana,Mohd Tariq,Shahid Shah Chaudhary 셀메드 세포교정의약학회 2013 TANG Vol.3 No.4
Ginger (Zingiber officinale) belonging to the family Zingiberaceae is a perennial herb. It is widely distributed in tropical Asia. In India, it is cultivated mainly in Kerala, Andhra Pradesh, Uttar Pradesh, West Bengal and Maharashtra. It is one of the most common spices, which is in use since centuries for its versatile medicinal actions like antiemetic, stomachic, expectorant, anti-inflammatory, aphrodisiac etc in traditional system of medicine (Unani, Ayurveda, and Chinese medicine). It is useful for the treatment of various gastrointestinal, pulmonary, cardiovascular and sexual disorders. The phytochemical study of ginger showed the presence of many volatile oils and oleo-resins like gingerol, zingerone, zingiberol etc. Numerous experimental and clinical trials have proven ginger for its range of therapeutic activities such as antibacterial, antidiabetic, antiemetic, hypolipidaemic, hepatoprotective etc properties. The present article aims to explore traditional Unani and pharmacological activities of this herb reported till date.
Ayed Ahmad Hamdan Al-Radaideh,Mohd Shafry bin Mohd Rahim,Wad Ghaban,Majdi Bsoul,Shahid Kamal,Naveed Abbas 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.7
Innovation and rapid increased functionality in user friendly smartphones has encouraged shutterbugs to have picturesque image macros while in work environment or during travel. Formal signboards are placed with marketing objectives and are enriched with text for attracting people. Extracting and recognition of the text from natural images is an emerging research issue and needs consideration. When compared to conventional optical character recognition (OCR), the complex background, implicit noise, lighting, and orientation of these scenic text photos make this problem more difficult. Arabic language text scene extraction and recognition adds a number of complications and difficulties. The method described in this paper uses a two-phase methodology to extract Arabic text and word boundaries awareness from scenic images with varying text orientations. The first stage uses a convolution auto-encoder, and the second uses Arabic Character Segmentation (ACS), which is followed by traditional two-layer neural networks for recognition. This study presents the way that how can an Arabic training and synthetic dataset be created for exemplify the superimposed text in different scene images. For this purpose a dataset of size 10K of cropped images has been created in the detection phase wherein Arabic text was found and 127k Arabic character dataset for the recognition phase. The phase-1 labels were generated from an Arabic corpus of quotes and sentences, which consists of 15kquotes and sentences. This study ensures that Arabic Word Awareness Region Detection (AWARD) approach with high flexibility in identifying complex Arabic text scene images, such as texts that are arbitrarily oriented, curved, or deformed, is used to detect these texts. Our research after experimentations shows that the system has a 91.8% word segmentation accuracy and a 94.2% character recognition accuracy. We believe in the future that the researchers will excel in the field of image processing while treating text images to improve or reduce noise by processing scene images in any language by enhancing the functionality of VGG-16 based model using Neural Networks.