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  1. Article: V-NOTES Hysterectomy: Surgery in 10 Steps.

    Futcher, Francoise / George, Pascale / Habib, Nassir

    Gynecology and minimally invasive therapy

    2024  Volume 13, Issue 1, Page(s) 60–61

    Language English
    Publishing date 2024-02-23
    Publishing country India
    Document type Journal Article
    ZDB-ID 2696587-2
    ISSN 2213-3070
    ISSN 2213-3070
    DOI 10.4103/gmit.gmit_47_23
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  2. Article: Eco-Transformation of construction: Harnessing machine learning and SHAP for crumb rubber concrete sustainability.

    Habib, Nudrat / Saqib, Muhammad / Najeh, Taoufik / Gamil, Yaser

    Heliyon

    2024  Volume 10, Issue 5, Page(s) e26927

    Abstract: Researchers have focused their efforts on investigating the integration of crumb rubber as a substitute for conventional aggregates and cement in concrete. Nevertheless, the manufacture of crumb rubber concrete (CRC) has been linked to the release of ... ...

    Abstract Researchers have focused their efforts on investigating the integration of crumb rubber as a substitute for conventional aggregates and cement in concrete. Nevertheless, the manufacture of crumb rubber concrete (CRC) has been linked to the release of noxious pollutants, hence presenting potential environmental hazards. Rather than developing novel CRC formulations, the primary objective of this work is to construct an extensive database by leveraging prior research efforts. The study places particular emphasis on two crucial concrete properties: compressive strength (f
    Language English
    Publishing date 2024-02-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e26927
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A mathematical model to guide the re-opening of economies during the COVID-19 pandemic

    Habib, Noorbhai

    2020  

    Abstract: Abstract: ... Despite rigorous global containment and quarantine efforts, the incidence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as COVID-19, continues to surge, with more than 12 million laboratory-confirmed cases and ... ...

    Abstract Abstract:

    Despite rigorous global containment and quarantine efforts, the incidence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as COVID-19, continues to surge, with more than 12 million laboratory-confirmed cases and over 500,000 deaths worldwide (as of 11 July 2020). Aside from the continued surge in cases and the imperatives of public health concern and saving lives, economic devastation is also mounting with a global depression now seeming inevitable. There is limited attention directed towards people who have recovered from the virus and whether this metric can be useful in guiding when the economy can be re-opened. In this paper, a simpler model is presented in order to guide various countries on the (possible) reopening of the economy (or re-opening in stages/phases) alongside risk categories and ratios. Factors that need to be considered when applying the model include the healthcare capacity in terms of the number of hospitals, beds and healthcare workers that are available to capacitate this virus. In addition, population size, physical distancing measures, socio-economic disparities, lockdown regulations in each country, and more importantly the amount and accuracy of testing conducted, is also imperative to consider. Decisions adopted by leaders around the world have the most difficult decision to make (yet), and have to weigh up on what really matters; health or wealth. It is suggested that this model be applied in a number of states/counties and countries in order to gauge the risk of their location being re-opened, by observing their total number of recoveries in proximity to total number of cases.
    Keywords Coronavirus ; Lockdown ; Model ; covid19
    Subject code 910
    Language English
    Publishing country za
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Evaluation of Rate Coefficients in the Gas Phase Using Machine-Learned Potentials.

    Martí, Carles / Devereux, Christian / Najm, Habib N / Zádor, Judit

    The journal of physical chemistry. A

    2024  Volume 128, Issue 10, Page(s) 1958–1971

    Abstract: We assess the capability of machine-learned potentials to compute rate coefficients by training a neural network (NN) model and applying it to describe the chemical landscape on the ... ...

    Abstract We assess the capability of machine-learned potentials to compute rate coefficients by training a neural network (NN) model and applying it to describe the chemical landscape on the C
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5215
    ISSN (online) 1520-5215
    DOI 10.1021/acs.jpca.3c07872
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Pregnancy after laparoscopic hysteropexy: Is there a prolapse recurrence?

    Futcher, Françoise / Habib, Nassir / Deshaies, Anne / Botchorishvili, Revaz

    Journal of gynecology obstetrics and human reproduction

    2023  Volume 52, Issue 9, Page(s) 102661

    Abstract: Laparoscopic hysteropexy is a surgery of choice for woman with pelvic organ prolapse wishing to retain fertility. There are few cases of pregnancies after this surgery as standard practice recommends to fulfil their family project before undergoing ... ...

    Abstract Laparoscopic hysteropexy is a surgery of choice for woman with pelvic organ prolapse wishing to retain fertility. There are few cases of pregnancies after this surgery as standard practice recommends to fulfil their family project before undergoing laparoscopic prolapse surgery. Our operative technique involves the use of 2 polypropylene meshes, one placed anteriorly and one posteriorly, they are attached to the cervix and together through the cervix. There is no compression on the uterine arteries as we do not encircle the cervix and there is no concern on blood flow to the uterus. The patient had a gestational diabetes with an oversize baby in breech position. A caesarean section was planned due to the babies' position and weight. The patient delivered a healthy baby and 10 months after the surgery the patient did not have recurrence of pelvic organ prolapse.
    MeSH term(s) Pregnancy ; Humans ; Female ; Uterine Prolapse/surgery ; Cesarean Section ; Uterus/surgery ; Laparoscopy/methods ; Pelvic Organ Prolapse/surgery
    Language English
    Publishing date 2023-08-29
    Publishing country France
    Document type Case Reports
    ISSN 2468-7847
    ISSN (online) 2468-7847
    DOI 10.1016/j.jogoh.2023.102661
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The influence and impact of livelihood capitals on livelihood diversification strategies in developing countries: a systematic literature review.

    Habib, Nusrat / Ariyawardana, Anoma / Aziz, Ammar Abdul

    Environmental science and pollution research international

    2023  Volume 30, Issue 27, Page(s) 69882–69898

    Abstract: Livelihood diversification is an essential strategy for managing economic and environmental shocks and reducing rural poverty in developing countries. This article presents a comprehensive two-part literature review on livelihood capital and livelihood ... ...

    Abstract Livelihood diversification is an essential strategy for managing economic and environmental shocks and reducing rural poverty in developing countries. This article presents a comprehensive two-part literature review on livelihood capital and livelihood diversification strategies. Firstly, it identifies the role of livelihood capital in determining livelihood diversification strategies, and secondly, it assesses the role of livelihood diversification strategies in reducing rural poverty in developing countries. Evidence suggests that human, natural, and financial capitals are the primary determining assets of livelihood diversification strategies. However, the role of social and physical capital with livelihood diversification has not widely been studied. Education, farming experience, family size, land holding size, access to formal credit, access to market, and membership in village organizations were the major influencing factors in the adoption process of livelihood diversification strategies. The contribution of livelihood diversification in poverty reduction (SDG-1) was realized through improved food security and nutrition, increased income level, sustainability of crop production, and mitigating climatic vulnerabilities. This study suggests enhanced livelihood diversification through improved access to and availability of livelihood assets is vital in reducing rural poverty in developing countries.
    MeSH term(s) Humans ; Developing Countries ; Farms ; Agriculture ; Poverty ; Family Characteristics ; Rural Population
    Language English
    Publishing date 2023-05-17
    Publishing country Germany
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-27638-2
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    In stock of ZB MED Bonn / Germany

    Z 5915: Show issues

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  7. Article ; Online: Determinants of livelihood diversification in rural rain-fed region of Pakistan: evidence from fractional multinomial logit (FMLOGIT) estimation

    Habib, Nusrat / Rankin, Peter / Alauddin, Mohammad / Cramb, Rob

    Environ Sci Pollut Res. 2023 Jan., v. 30, no. 5 p.13185-13196

    2023  

    Abstract: Sustainable livelihoods in less developed countries are threatened by human, natural, physical, social and financial factors. Pakistan is also facing severe negative impacts of these factors in the form of climate shocks, market imperfections and ... ...

    Abstract Sustainable livelihoods in less developed countries are threatened by human, natural, physical, social and financial factors. Pakistan is also facing severe negative impacts of these factors in the form of climate shocks, market imperfections and insufficient formal credit availability on rural livelihoods. This study explores rural Pakistani’s adaptation to these threats by diversifying income sources and explores the determining factors for adopting specific livelihood diversification strategies. The study is based on a quantitative survey of 295 households in three districts of rain-fed rural regions of Pakistan’s Punjab with differing annual rainfall. Results showed that households mitigated against threats to their livelihood by having a diversity of income sources (Simpson Diversity Index = 0.61). Moreover, fractional multinomial regression modelling revealed that greater education was associated with a more diversified livelihood strategy, where income was predominantly derived from off-farm and non-farm livelihood activities. On the other hand, households with older members, more livestock and larger farm size focused their livelihoods on their own farms, or primarily diversified into an off-farm strategy by working on other farms. These findings underscore the importance of improved access to education and infrastructure for livelihood diversification. A policy that focuses on reducing low literacy rates in rural Pakistan may also provide new avenues of livelihood diversifications with enhancement of rural literacy rate to mitigate the risks associated with livelihood strategies of smallholders.
    Keywords climate ; credit ; farm size ; humans ; income ; infrastructure ; issues and policy ; literacy ; livelihood ; livestock ; markets ; rain ; surveys ; Pakistan
    Language English
    Dates of publication 2023-01
    Size p. 13185-13196.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-23040-6
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

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  8. Book ; Online: Instruction Makes a Difference

    Adewumi, Tosin / Habib, Nudrat / Alkhaled, Lama / Barney, Elisa

    2024  

    Abstract: We introduce Instruction Document Visual Question Answering (iDocVQA) dataset and Large Language Document (LLaDoc) model, for training Language-Vision (LV) models for document analysis and predictions on document images, respectively. Usually, deep ... ...

    Abstract We introduce Instruction Document Visual Question Answering (iDocVQA) dataset and Large Language Document (LLaDoc) model, for training Language-Vision (LV) models for document analysis and predictions on document images, respectively. Usually, deep neural networks for the DocVQA task are trained on datasets lacking instructions. We show that using instruction-following datasets improves performance. We compare performance across document-related datasets using the recent state-of-the-art (SotA) Large Language and Vision Assistant (LLaVA)1.5 as the base model. We also evaluate the performance of the derived models for object hallucination using the Polling-based Object Probing Evaluation (POPE) dataset. The results show that instruction-tuning performance ranges from 11X to 32X of zero-shot performance and from 0.1% to 4.2% over non-instruction (traditional task) finetuning. Despite the gains, these still fall short of human performance (94.36%), implying there's much room for improvement.

    Comment: 14 pages, 8 figures
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Computation and Language
    Subject code 004
    Publishing date 2024-02-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Diagnosis of corona diseases from associated genes and X-ray images using machine learning algorithms and deep CNN.

    Habib, Nahida / Rahman, Mohammad Motiur

    Informatics in medicine unlocked

    2021  Volume 24, Page(s) 100621

    Abstract: Novel Coronavirus with its highly transmittable characteristics is rapidly spreading, endangering millions of human lives and the global economy. To expel the chain of alteration and subversive expansion, early and effective diagnosis of infected ... ...

    Abstract Novel Coronavirus with its highly transmittable characteristics is rapidly spreading, endangering millions of human lives and the global economy. To expel the chain of alteration and subversive expansion, early and effective diagnosis of infected patients is immensely important. Unfortunately, there is a lack of testing equipment in many countries as compared with the number of infected patients. It would be desirable to have a swift diagnosis with identification of COVID-19 from disease genes or from CT or X-Ray images. COVID-19 causes flus, cough, pneumonia, and lung infection in patients, wherein massive alveolar damage and progressive respiratory failure can lead to death. This paper proposes two different detection methods - the first is a Gene-based screening method to detect Corona diseases (Middle East respiratory syndrome-related coronavirus, Severe acute respiratory syndrome coronavirus 2, and Human coronavirus HKU1) and differentiate it from Pneumonia. This novel approach to healthcare utilizes disease genes to build functional semantic similarity among genes. Different machine learning algorithms - eXtreme Gradient Boosting, Naïve Bayes, Regularized Random Forest, Random Forest Rule-Based Model, Random Ferns, C5.0 and Multi-Layer Perceptron, are trained and tested on the semantic similarities to classify Corona and Pneumonia diseases. The best performing models are then ensembled, yielding an accuracy of nearly 93%. The second diagnosis technique proposed herein is an automated COVID-19 diagnostic method which uses chest X-ray images to classify Normal versus COVID-19 and Pneumonia versus COVID-19 images using the deep-CNN technique, achieving 99.87% and 99.48% test accuracy. Thus, this research can be an assistance for providing better treatment against COVID-19.
    Language English
    Publishing date 2021-05-28
    Publishing country England
    Document type Journal Article
    ISSN 2352-9148
    ISSN 2352-9148
    DOI 10.1016/j.imu.2021.100621
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: HPLC Quantification of Thymoquinone Extracted from

    Habib, Nida / Choudhry, Shahnaz

    Evidence-based complementary and alternative medicine : eCAM

    2021  Volume 2021, Page(s) 6645680

    Abstract: The medicinal importance ... ...

    Abstract The medicinal importance of
    Language English
    Publishing date 2021-04-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2171158-6
    ISSN 1741-4288 ; 1741-427X
    ISSN (online) 1741-4288
    ISSN 1741-427X
    DOI 10.1155/2021/6645680
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5995: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
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