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Article ; Online: Modelling PIP4K2A inhibitory activity of 1,7-naphthyridine analogues using machine learning and molecular docking studies.

Ibrahim, Muktar Musa / Uzairu, Adamu / Ibrahim, Muhammad Tukur / Umar, Abdullahi Bello

RSC advances

2023 Volume 13, Issue 6, Page(s) 3402–3415

Abstract: PIP4K2A is a type II lipid kinase that catalyzed the rate-limiting step of the conversion of phosphatidylinositol-5-phosphate (PI5P) into phosphatidylinositol 4,5-bisphosphate (PI4,5P2). PIP4K2A has been intricately linked to the inhibition of various ... ...

Abstract	PIP4K2A is a type II lipid kinase that catalyzed the rate-limiting step of the conversion of phosphatidylinositol-5-phosphate (PI5P) into phosphatidylinositol 4,5-bisphosphate (PI4,5P2). PIP4K2A has been intricately linked to the inhibition of various types of tumors
Language	English
Publishing date	2023-01-24
Publishing country	England
Document type	Journal Article
ISSN	2046-2069
ISSN (online)	2046-2069
DOI	10.1039/d2ra07382j
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Level of Adoption and Perception of Farmers on Phosphorus Based Fertilizers for Cowpea Production in Katsina State, Nigeria

Hussaini Yusuf Ibrahim / Umar Ibrahim / Abdullahi Abubakar Khidir / Abdullahi Sani

مجلة ديالى للعلوم الزراعية, Vol 15, Iss 2, Pp 34-

2023 Volume 45

Abstract: The study analyzed farmers' level of adoption and perception of phosphorus based fertilizers for cowpea production in Katsina state, Nigeria. A total of 153 cowpea farmers were sampled using a multi-stage sampling technique. Primary data was utilized in ... ...

Abstract	The study analyzed farmers' level of adoption and perception of phosphorus based fertilizers for cowpea production in Katsina state, Nigeria. A total of 153 cowpea farmers were sampled using a multi-stage sampling technique. Primary data was utilized in the study. The data was collected using a structured questionnaire by trained enumerators. Descriptive statistics, Kendalls’ coefficient of concordance and acceptability index were employed for data analysis. The results showed that the mean age for cowpea farmers was 41 years. Distribution of the respondents by gender reveals that 85.6% were males and the remaining 14.4% were females. The result of farmers’ perception of phosphorus-based fertilizer used shows a moderate agreement of 0.30 which indicates different perceptions among respondents. The study further revealed that the acceptability index of 6.54% was very alarming because cowpea farmers committed a small portion of their farmland toward adopting the technology. The level of knowledge of the cowpea farmers on phosphorus based fertilizers was very low, leading to a very low level of acceptance of phosphorus fertilizers in the study area. It was recommended that be made available and affordable to the cowpea farmers as this will increase the rate of technology adoption in the study area.
Keywords	perception ; adoption ; cowpea ; farmers ; phosphorus fertilizers ; Agriculture (General) ; S1-972 ; Forestry ; SD1-669.5 ; Dairying ; SF221-250 ; Dairy processing. Dairy products ; SF250.5-275 ; Veterinary medicine ; SF600-1100 ; Aquaculture. Fisheries. Angling ; SH1-691 ; General Works ; A
Subject code	910
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	University of Diyala
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Assessment of Legibility of Handwritten Prescriptions and Adherence to W.H.O. Prescription Writing Guidelines in Ahmadu Bello University Teaching Hospital Zaria - Kaduna State, Nigeria.

Khalid Abdullahi, Abba / Senire Fatima, Ibrahim / Abdurrahaman, Umar / Isa Sa'adatu, Salihu / Bukhari Hafsat, Abubakar / Abdullahi Abdulrasheed, Haruna / Abubakar, Umar / Dorcas, Igashi / Hameed Kehinde, Sanni / Ibrahim Bashir, Adam / Kabir Musa, Muhammad

Innovations in pharmacy

2023 Volume 14, Issue 1

Abstract: Introduction: ...

Abstract	Introduction:
Language	English
Publishing date	2023-10-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	2689516-X
ISSN	2155-0417 ; 2155-0417
ISSN (online)	2155-0417
ISSN	2155-0417
DOI	10.24926/iip.v14i1.5164
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Article ; Online: Female genital schistosomiasis mimicking an ovarian neoplasm: A case report.

Muhammad, Ibrahim Danladi / Umar, Usman Aliyu / Sabo, Umar Suleiman / Rabiu, Ibrahim / Ahmad, Abdullahi Muhammad / Yusuf, Mustapha Ahmed

Parasitology international

2024 Volume 101, Page(s) 102878

Abstract: Objective: A case description of a rare occurrence of female genital schistosomiasis affecting the upper genital tract that presented with features mimicking an ovarian neoplasm.: Case report: Female genital schistosomiasis is a neglected clinical ... ...

Abstract	Objective: A case description of a rare occurrence of female genital schistosomiasis affecting the upper genital tract that presented with features mimicking an ovarian neoplasm. Case report: Female genital schistosomiasis is a neglected clinical manifestation of the water-born parasitic disease which occurs due to the presence of schistosome eggs in the genitalia of women. A 23-year-old nulliparous woman presented with progressive abdominal distension. An abdominopelvic CT scan revealed a multilobulated right adnexal mass with gross ascites. Diagnosis of schistosomiasis was made by histology of biopsied specimens following laparotomy. Cervical colposcopic findings were consistent with female genital schistosomiasis. She was successfully treated with praziquantel. Conclusion: Female genital schistosomiasis of the upper genital tract can mimic an ovarian malignancy. Hence there is a need for its consideration as a differential diagnosis in patients with non-classical presentations of pelvic tumours in schistosomiasis-endemic areas.
Language	English
Publishing date	2024-03-05
Publishing country	Netherlands
Document type	Case Reports
ZDB-ID	1363151-2
ISSN	1873-0329 ; 1383-5769
ISSN (online)	1873-0329
ISSN	1383-5769
DOI	10.1016/j.parint.2024.102878
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Article ; Online: Classification of H. pylori Infection from Histopathological Images Using Deep Learning.

Ibrahim, Abdullahi Umar / Dirilenoğlu, Fikret / Hacisalihoğlu, Uğuray Payam / Ilhan, Ahmet / Mirzaei, Omid

Journal of imaging informatics in medicine

2024

Abstract: Helicobacter pylori (H. pylori) is a widespread pathogenic bacterium, impacting over 4 billion individuals globally. It is primarily linked to gastric diseases, including gastritis, peptic ulcers, and cancer. The current histopathological method for ... ...

Abstract	Helicobacter pylori (H. pylori) is a widespread pathogenic bacterium, impacting over 4 billion individuals globally. It is primarily linked to gastric diseases, including gastritis, peptic ulcers, and cancer. The current histopathological method for diagnosing H. pylori involves labour-intensive examination of endoscopic biopsies by trained pathologists. However, this process can be time-consuming and may occasionally result in the oversight of small bacterial quantities. Our study explored the potential of five pre-trained models for binary classification of 204 histopathological images, distinguishing between H. pylori-positive and H. pylori-negative cases. These models include EfficientNet-b0, DenseNet-201, ResNet-101, MobileNet-v2, and Xception. To evaluate the models' performance, we conducted a five-fold cross-validation, ensuring the models' reliability across different subsets of the dataset. After extensive evaluation and comparison of the models, ResNet101 emerged as the most promising. It achieved an average accuracy of 0.920, with impressive scores for sensitivity, specificity, positive predictive value, negative predictive value, F1 score, Matthews's correlation coefficient, and Cohen's kappa coefficient. Our study achieved these robust results using a smaller dataset compared to previous studies, highlighting the efficacy of deep learning models even with limited data. These findings underscore the potential of deep learning models, particularly ResNet101, to support pathologists in achieving precise and dependable diagnostic procedures for H. pylori. This is particularly valuable in scenarios where swift and accurate diagnoses are essential.
Language	English
Publishing date	2024-02-08
Publishing country	Switzerland
Document type	Journal Article
ISSN	2948-2933
ISSN (online)	2948-2933
DOI	10.1007/s10278-024-01021-0
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Article ; Online: Utilization of Mobile Reminders in Improving the Completeness and Timeliness of Routine Childhood Immunization in Kano Metropolis, Nigeria: A Randomized Controlled Trial.

Yunusa, Umar / Garba, Saleh Ngaski / MacDonald, Shannon E / Bello, Umar Lawal / Ibrahim, Abdullahi Haruna / Abdulrashid, Idris / Dalhatu, Adamu / Ladan, Muhammad Awwal

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners

2024

Abstract: Introduction: This study examined the effectiveness of mobile phone reminders in improving the completeness and timeliness of childhood immunization.: Method: We conducted a parallel arm cluster randomized controlled trial in four primary health care ...

Abstract	Introduction: This study examined the effectiveness of mobile phone reminders in improving the completeness and timeliness of childhood immunization. Method: We conducted a parallel arm cluster randomized controlled trial in four primary health care facilities in Nigeria. Reminders were sent to eligible participants in the intervention group at specific intervals when their children were scheduled to receive the vaccines administered at the sixth, 10, and 14 weeks after birth. Immunization records of all participants' children were then tracked to assess their immunization status. Results: The immunization status of the intervention (n = 275) and control (n = 261) arms was analyzed. Completeness and timeliness of the vaccine series were significantly higher (p < .001) among children of participants in the intervention (n = 169, 61.5% and n = 138, 50.2%) than those in the control group (n = 35, 13.4% and n = 13, 5%) arm. Discussion: Mobile phone reminders were established to be effective in increasing the completeness and timeliness of childhood immunization.
Language	English
Publishing date	2024-03-28
Publishing country	United States
Document type	Journal Article
ZDB-ID	1036356-7
ISSN	1532-656X ; 0891-5245
ISSN (online)	1532-656X
ISSN	0891-5245
DOI	10.1016/j.pedhc.2024.03.002
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Article ; Online: Computer aided detection of tuberculosis using two classifiers.

Umar Ibrahim, Abdullahi / Al-Turjman, Fadi / Ozsoz, Mehmet / Serte, Sertan

Biomedizinische Technik. Biomedical engineering

2022 Volume 67, Issue 6, Page(s) 513–524

Abstract: Tuberculosis caused by Mycobacterium tuberculosis have been a major challenge for medical and healthcare sectors in many underdeveloped countries with limited diagnosis tools. Tuberculosis can be detected from microscopic slides and chest X-ray but as a ... ...

Abstract	Tuberculosis caused by Mycobacterium tuberculosis have been a major challenge for medical and healthcare sectors in many underdeveloped countries with limited diagnosis tools. Tuberculosis can be detected from microscopic slides and chest X-ray but as a result of the high cases of tuberculosis, this method can be tedious for both microbiologist and Radiologist and can lead to miss-diagnosis. The main objective of this study is to addressed these challenges by employing Computer Aided Detection (CAD) using Artificial Intelligence-driven models which learn features based on convolution and result in an output with high accuracy. In this paper, we described automated discrimination of X-ray and microscopic slide images of tuberculosis into positive and negative cases using pretrained AlexNet Models. The study employed Chest X-ray dataset made available on Kaggle repository and microscopic slide images from both Near East university hospital and Kaggle repository. For classification of tuberculosis and healthy microscopic slide using AlexNet+Softmax, the model achieved accuracy of 98.14%. For classification of tuberculosis and healthy microscopic slide using AlexNet+SVM, the model achieved 98.73% accuracy. For classification of tuberculosis and healthy chest X-ray images using AlexNet+Softmax, the model achieved accuracy of 98.19%. For classification of tuberculosis and healthy chest X-ray images using AlexNet+SVM, the model achieved 98.38% accuracy. The result obtained has shown to outperformed several studies in the current literature. Future studies will attempt to integrate Internet of Medical Things (IoMT) for the design of IoMT/AI-enabled platform for detection of Tuberculosis from both X-ray and Microscopic slide images.
MeSH term(s)	Humans ; Artificial Intelligence ; Deep Learning ; Neural Networks, Computer ; Tuberculosis/diagnosis ; Computers
Language	English
Publishing date	2022-09-26
Publishing country	Germany
Document type	Journal Article
ZDB-ID	120817-2
ISSN	1862-278X ; 0013-5585
ISSN (online)	1862-278X
ISSN	0013-5585
DOI	10.1515/bmt-2021-0310
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Article ; Online: Effects of Malaria Parasites and Its Prevalence in Pregnant Women Attending the Antenatal Clinic

Biliyaminu Ado / Ibrahim Abdullahi Gumel / Bashari Babandi / Zaharaddeen Umar / Umar Usman / Also Sani Hotoro

علوم بهداشتی ایران, Vol 11, Iss 4, Pp 229-

A Study in Gumel General Hospital, Jigawa State, Nigeria

2023 Volume 238

Abstract: Background and Purpose: Malaria is one of the most deadly and life-threatening parasitic infections in the world. Pregnant women and their unborn children are among the most vulnerable people to malaria, which causes maternal anemia and parental ... ...

Abstract	Background and Purpose: Malaria is one of the most deadly and life-threatening parasitic infections in the world. Pregnant women and their unborn children are among the most vulnerable people to malaria, which causes maternal anemia and parental mortality. This research was carried out to investigate the prevalence of malaria parasites in pregnant women attending the Antenatal Clinic, Gumel General Hospital, Jigawa State, Nigeria. Materials and Methods: A total of 100 pregnant women were selected using simple random sampling and examined for malaria infection from July to September 2021. The study questionnaires were administered to the respondents whose blood samples were collected. The outcome variables for this research were malaria infection (assessed using rapid diagnostic tests) and pregnant women with any Plasmodium species. The independent variables include age, social status, number of deliveries, pregnancy trimester, malaria transmission modes, and control measures of the mosquitoes/malaria. The collected data were analyzed using descriptive statistics and the chi-square test. The differences and similarities between study parameters were presented in relevant tables. Results: A total of 64 samples (64%) were infected with Plasmodium falciparum. The samples aged 15-20 years demonstrated the highest prevalence of the infection (71.4%). Social status indicated that homemakers were more infected, with 66.3%. On the number of deliveries, those that delivered three times and above showed the highest prevalence of infection with 72.5%. Finally, those in the third trimester were the most infected, with 62.2%. Conclusion: The current study showed that malaria is prevalent in pregnant women in Gumel. The associated factor with malaria infection comprised forgoing insecticide-treated bed nets, inadequate environmental sanitation, and living near stagnant water. Therefore, the future mothers should be motivated to participate early in focused antenatal care services to protect themselves from the possible harm of ...
Keywords	malaria ; nigeria ; plasmodium falciparum ; pregnant women ; prevalence ; Medicine (General) ; R5-920
Subject code	360
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Mazandaran University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: In silico analysis of noscapine compounds as anti-tumor agents targeting the tubulin receptor.

Nulamuga, Benson / Uzairu, Adamu / Babalola, Ibrahim T / Ibrahim, Muhammad T / Umar, Abdullahi B

Journal of Taibah University Medical Sciences

2022 Volume 18, Issue 1, Page(s) 32–44

Abstract: Objective: This research aims to develop a mathematical model that relates the structural features of noscapine with anti-tumor activity, to explains the mode of binding between noscapine compounds and the target receptor tubulin by docking analysis. By ...

Abstract	Objective: This research aims to develop a mathematical model that relates the structural features of noscapine with anti-tumor activity, to explains the mode of binding between noscapine compounds and the target receptor tubulin by docking analysis. By considering the results of docking analysis and predictions of pharmacokinetic properties/drug likeness, we designed novel noscapine compounds as anti-tumor agents against pancreatic cancer. Methods: We used an Results: A QSAR model with good validations parameters and quality of fit (R Conclusion: The QSAR approach and molecular docking analysis is an important approach for modern drug discovery. Pharmacokinetics studies of the selected novel compounds revealed good drug properties and can be used as candidate compounds for the development of anti-tumor agents for pancreatic cancer.
Language	English
Publishing date	2022-08-14
Publishing country	Saudi Arabia
Document type	Journal Article
ZDB-ID	2817396-X
ISSN	1658-3612 ; 1658-3612
ISSN (online)	1658-3612
ISSN	1658-3612
DOI	10.1016/j.jtumed.2022.07.013
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Article ; Online: Primary mesenteric angiosarcoma in an adult presenting with peritonitis

Bello M Bashir / S P Agbo / M M Umar / Ibrahim Umar Abubakar / Hamza Ibrahim Sani / M Abdullahi / Faruk O Emetuma

Nigerian Journal of Medicine, Vol 32, Iss 1, Pp 98-

A case report and review of literature

2023 Volume 100

Abstract: Primary mesenteric angiosarcoma is a rare soft tissue tumour accounting for 1%–2% of soft tissue tumours. Because of the ubiquity of blood vessels and lymphatics, it can occur anywhere with a poor prognosis. To the best extent of our literature search, ... ...

Abstract	Primary mesenteric angiosarcoma is a rare soft tissue tumour accounting for 1%–2% of soft tissue tumours. Because of the ubiquity of blood vessels and lymphatics, it can occur anywhere with a poor prognosis. To the best extent of our literature search, this type of tumour is sparsely reported in our environment; we hereby report a case of primary mesenteric angiosarcoma in a 32-year-old man who presented with acute abdomen, intraperitoneal haemorrhage, and shock. Abdominal ultrasound revealed intraperitoneal collection, and intraoperative findings revealed haemoperitoneum 1.5l with vascular cystic tumour at the mesentery close to the duodenojejunal junction. Histopathological examination of the resected specimen revealed angiosarcoma. The patient was seen last at follow-up in early 2022.
Keywords	angiosarcoma ; mesentery ; peritonitis ; Medicine ; R
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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