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  1. Article ; Online: Managers' leadership competencies and sustainable development goals in turbulent markets: the enabling role of resource commitment.

    Ahmad, Shahzad / Xin, Chunlin / Ullah, Ehsan / Siyal, Saeed

    Environmental science and pollution research international

    2023  Volume 30, Issue 56, Page(s) 119134–119150

    Abstract: Research on the sustainable development goals (SDGs) has brought attention to the significance of small and medium enterprises (SMEs) due to their substantial contributions to economic growth. However, SMEs still need to develop integrated frameworks to ... ...

    Abstract Research on the sustainable development goals (SDGs) has brought attention to the significance of small and medium enterprises (SMEs) due to their substantial contributions to economic growth. However, SMEs still need to develop integrated frameworks to assess the implications of sustainable operations while managing scarce resources. In this study, we investigate how top managers of SMEs utilize leadership competencies to balance and allocate resources for SDGs in a turbulent environment. To test the model, the analysis was conducted on 254 SMEs operating in an emerging market. The findings indicate that resource commitment plays a partially mediating role between leadership competencies and SDGs, while environmental uncertainty does not moderate the relationship between leadership competencies and resource commitment. These insights suggest that SMEs with competent leaders commit resources to SDGs regardless of environmental conditions. This research recommends that SMEs focus on cultivating competent leaders to navigate resource constraints and contribute to the SDGs in a turbulent environment. Further implications are discussed.
    MeSH term(s) Sustainable Development ; Leadership ; Economic Development ; Uncertainty
    Language English
    Publishing date 2023-11-03
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-30733-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Emergency Cesarean Section in a Dichorionic Diamniotic Twin Pregnancy With Hydrops Fetalis: A Report of a Critical Case.

    Ahmad, Shahzad / Karotkar, Sagar / Meshram, Revat J / Lohiya, Sham / Rawat, Aditi

    Cureus

    2024  Volume 16, Issue 3, Page(s) e56207

    Abstract: This case report describes the emergent scenario of a 41-year-old primipara at 31.2 weeks of gestation, presenting with abdominal and back pain in the context of a dichorionic diamniotic twin pregnancy complicated by hydrops fetalis. The patient, with a ... ...

    Abstract This case report describes the emergent scenario of a 41-year-old primipara at 31.2 weeks of gestation, presenting with abdominal and back pain in the context of a dichorionic diamniotic twin pregnancy complicated by hydrops fetalis. The patient, with a history of hypertension, hyperthyroidism, and a cervical stitch in place, underwent an emergency lower segment cesarean section. The ultrasound revealed an intrauterine left footling in one twin, contributing to the suspected hydrops fetalis. Neonatal complications arose, particularly with Baby B, necessitating immediate resuscitation and intensive care. Successful outcomes were achieved through a well-coordinated multidisciplinary approach involving obstetricians, neonatologists, and anesthesiologists. This case underscores the importance of prompt recognition, timely interventions, and collaborative care in managing complex pregnancies, shedding light on the challenges associated with dichorionic diamniotic twin pregnancies and emphasizing the need for ongoing research to refine perinatal strategies.
    Language English
    Publishing date 2024-03-15
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.56207
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Outcomes of Radioactive Iodine (

    Khan, Muhammad Sajjad Ali / Hussain, Arshad / Ahmad, Shahzad / Shah, Muhammad Harris

    Pakistan journal of medical sciences

    2023  Volume 39, Issue 6, Page(s) 1685–1689

    Abstract: Objective: The present study aimed to assess the thyroid outcomes six-months after radioactive Iodine-131 therapy (RIT) among hyperthyroid patients and identify the factors associated with them.: Methods: This retrospective observational study was ... ...

    Abstract Objective: The present study aimed to assess the thyroid outcomes six-months after radioactive Iodine-131 therapy (RIT) among hyperthyroid patients and identify the factors associated with them.
    Methods: This retrospective observational study was conducted at the department of Nuclear Medicine and Molecular Imaging, Northwest General Hospital & Research Centre during 2013 to 2019. For the study purpose, the thyroid outcomes of 153 hyperthyroid patients were studied retrospectively for six months after RIT. The data was obtained from the medical records. Patient baseline characteristics, clinical features, laboratory investigations, results of thyroid imaging, and therapeutic investigations were acquired and recorded in a structured questionnaire.
    Results: Out of the 153 screened records of hyperthyroid patients, 19.6% became euthyroid, 9.2% remained hyperthyroid, and 25.5% developed hypothyroidism after six months of RIT. The observed remission rate by the end of six months was 80.95%. Three months post-RIT, gender and RAI doses had a significant effect on thyroid function. The frequency of hypothyroidism was higher among those treated with an RAI dose of ≤ 20 mCi (83.0%) than those treated with a higher dose > 20 mCi (17%). Moreover, most patients receiving > 20 mCi radioiodine became euthyroid (64.5%). Similar outcomes were observed after six months of the therapy, except gender was replaced by etiologies of hyperthyroidism (p=0.009).
    Conclusion: Radioactive iodine (131-I) therapy is effective for the treatment of hyperthyroidism. However, the appropriate dose is still debatable, as there was a high incidence of hypothyroidism post-therapy.
    Language English
    Publishing date 2023-10-23
    Publishing country Pakistan
    Document type Journal Article
    ZDB-ID 2032827-8
    ISSN 1681-715X ; 1682-024X ; 1017-4699
    ISSN (online) 1681-715X
    ISSN 1682-024X ; 1017-4699
    DOI 10.12669/pjms.39.6.7567
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Management of Recurrent Laryngeal Nerve Injury During Radiofrequency Ablation of Thyroid Nodules.

    Aljammal, Jules / Hussain, Iram / Ahmad, Shahzad

    AACE clinical case reports

    2022  Volume 8, Issue 2, Page(s) 102

    Language English
    Publishing date 2022-02-17
    Publishing country United States
    Document type Journal Article
    ISSN 2376-0605
    ISSN (online) 2376-0605
    DOI 10.1016/j.aace.2022.02.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network

    Yaqub, Muhammad / Ahmad, Shahzad / Manan, Malik Abdul / Chuhan, Imran Shabir

    2024  

    Abstract: Real-time traffic flow prediction holds significant importance within the domain of Intelligent Transportation Systems (ITS). The task of achieving a balance between prediction precision and computational efficiency presents a significant challenge. In ... ...

    Abstract Real-time traffic flow prediction holds significant importance within the domain of Intelligent Transportation Systems (ITS). The task of achieving a balance between prediction precision and computational efficiency presents a significant challenge. In this article, we present a novel deep-learning method called Federated Learning and Asynchronous Graph Convolutional Network (FLAGCN). Our framework incorporates the principles of asynchronous graph convolutional networks with federated learning to enhance the accuracy and efficiency of real-time traffic flow prediction. The FLAGCN model employs a spatial-temporal graph convolution technique to asynchronously address spatio-temporal dependencies within traffic data effectively. To efficiently handle the computational requirements associated with this deep learning model, this study used a graph federated learning technique known as GraphFL. This approach is designed to facilitate the training process. The experimental results obtained from conducting tests on two distinct traffic datasets demonstrate that the utilization of FLAGCN leads to the optimization of both training and inference durations while maintaining a high level of prediction accuracy. FLAGCN outperforms existing models with significant improvements by achieving up to approximately 6.85% reduction in RMSE, 20.45% reduction in MAPE, compared to the best-performing existing models.

    Comment: 15 pages, 7 Figures, 1 Table
    Keywords Computer Science - Machine Learning ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2024-01-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: EZ-CLIP

    Ahmad, Shahzad / Chanda, Sukalpa / Rawat, Yogesh S

    Efficient Zeroshot Video Action Recognition

    2023  

    Abstract: Recent advancements in large-scale pre-training of visual-language models on paired image-text data have demonstrated impressive generalization capabilities for zero-shot tasks. Building on this success, efforts have been made to adapt these image-based ... ...

    Abstract Recent advancements in large-scale pre-training of visual-language models on paired image-text data have demonstrated impressive generalization capabilities for zero-shot tasks. Building on this success, efforts have been made to adapt these image-based visual-language models, such as CLIP, for videos extending their zero-shot capabilities to the video domain. While these adaptations have shown promising results, they come at a significant computational cost and struggle with effectively modeling the crucial temporal aspects inherent to the video domain. In this study, we present EZ-CLIP, a simple and efficient adaptation of CLIP that addresses these challenges. EZ-CLIP leverages temporal visual prompting for seamless temporal adaptation, requiring no fundamental alterations to the core CLIP architecture while preserving its remarkable generalization abilities. Moreover, we introduce a novel learning objective that guides the temporal visual prompts to focus on capturing motion, thereby enhancing its learning capabilities from video data. We conducted extensive experiments on five different benchmark datasets, thoroughly evaluating EZ-CLIP for zero-shot learning and base-to-novel video action recognition, and also demonstrating its potential for few-shot generalization.Impressively, with a mere 5.2 million learnable parameters (as opposed to the 71.1 million in the prior best model), EZ-CLIP can be efficiently trained on a single GPU, outperforming existing approaches in several evaluations.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 004 ; 006
    Publishing date 2023-12-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: A Fast and Accurate Frequency Tracking Method for Ultrasonic Cutting System via the Synergetic Control of Phase and Current.

    Zhang, Jianfu / Ma, Ke / Wang, Jianjian / Feng, Pingfa / Ahmad, Shahzad

    IEEE transactions on ultrasonics, ferroelectrics, and frequency control

    2022  Volume 69, Issue 2, Page(s) 902–910

    Abstract: Ultrasonic cutting is a superior machining process for brittle materials, owing to its capability to reduce the cutting force and improve the surface quality. To avoid the destructive instability of ultrasonic vibration induced by the cutting force, the ... ...

    Abstract Ultrasonic cutting is a superior machining process for brittle materials, owing to its capability to reduce the cutting force and improve the surface quality. To avoid the destructive instability of ultrasonic vibration induced by the cutting force, the excitation frequency of the ultrasonic system must reliably track its resonance frequency. However, it remains challenging for the conventional frequency tracking methods via one parameter to simultaneously achieve both high response rate and high tracking accuracy. This study proposes that more than one parameter could be coupled to get advantages from each parameter. A frequency tracking method via the synergetic control of circuit phase and current of the ultrasonic system was proposed as an example. This method utilizes the phase to responsively determine the tracking direction and uses the characteristic current as the endpoint frequency to ensure accuracy. Theoretical analyses and numerical simulations were conducted to demonstrate that the proposed method can accurately track the frequency of maximum vibration amplitude with a higher response rate than conventional methods. Moreover, ultrasonic cutting tests were performed on Nomex composites to evaluate the machining performance of the ultrasonic system with the proposed method. The experimental results verify that the proposed frequency tracking method enables the ultrasonic system to reach a stable state with a shorter response time, which is beneficial for the reduction of cutting-induced defects.
    MeSH term(s) Mechanical Phenomena ; Ultrasonic Waves ; Ultrasonics ; Vibration
    Language English
    Publishing date 2022-01-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1525-8955
    ISSN (online) 1525-8955
    DOI 10.1109/TUFFC.2021.3137391
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Radiofrequency Ablation of Parathyroid Adenoma: A Novel Treatment Option for Primary Hyperparathyroidism.

    Hussain, Iram / Ahmad, Shahzad / Aljammal, Jules

    AACE clinical case reports

    2021  Volume 7, Issue 3, Page(s) 195–199

    Abstract: Objective: To present radiofrequency ablation (RFA) of parathyroid adenomas as a safe and effective management strategy for primary hyperparathyroidism in patients who are not eligible for surgery or those who do not want surgery.: Methods: The ... ...

    Abstract Objective: To present radiofrequency ablation (RFA) of parathyroid adenomas as a safe and effective management strategy for primary hyperparathyroidism in patients who are not eligible for surgery or those who do not want surgery.
    Methods: The diagnosis of primary hyperparathyroidism was confirmed by laboratory investigations. A bone density scan showed osteoporosis, which was an indication for the surgical treatment of primary hyperparathyroidism. Ultrasonography of the neck was done to localize the parathyroid adenoma, after which RFA was performed to shrink the adenoma. Laboratory investigations were performed 10 days, 6 months, and 12 months after the procedure. A literature review was also conducted, and other reports of primary hyperparathyroidism cases treated with RFA were identified.
    Results: Biochemical cure of primary hyperparathyroidism was achieved by normalization of calcium levels, resolution of symptoms, elimination of complications, and decrease in the volume of the parathyroid adenoma.
    Conclusion: RFA of parathyroid adenomas is a viable alternative to parathyroidectomy in patients who do not meet the criteria for surgery or do not wish to undergo surgery.
    Language English
    Publishing date 2021-01-13
    Publishing country United States
    Document type Case Reports
    ISSN 2376-0605
    ISSN (online) 2376-0605
    DOI 10.1016/j.aace.2021.01.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Downregulation of ATF-4 Attenuates the Endoplasmic Reticulum Stress-Mediated Neuroinflammation and Cognitive Impairment in Experimentally Induced Alzheimer's Disease Model.

    Goswami, Poonam / Akhter, Juheb / Mangla, Anuradha / Suramya, Suramya / Jindal, Garima / Ahmad, Shahzad / Raisuddin, Sheikh

    Molecular neurobiology

    2023  

    Abstract: Protein aggregation is invariably associated with the inflammation as a factor in Alzheimer's disease (AD). We investigated the interaction between downstream factors of endoplasmic reticulum (ER) stress pathway and inflammation, with implications in ... ...

    Abstract Protein aggregation is invariably associated with the inflammation as a factor in Alzheimer's disease (AD). We investigated the interaction between downstream factors of endoplasmic reticulum (ER) stress pathway and inflammation, with implications in cognitive impairment in AD. Amyloid-β (Aβ)
    Language English
    Publishing date 2023-12-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 645020-9
    ISSN 1559-1182 ; 0893-7648
    ISSN (online) 1559-1182
    ISSN 0893-7648
    DOI 10.1007/s12035-023-03861-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Plasma circulating microRNAs associated with blood-based immune markers: a population-based study.

    Leonard, Samantha / Karabegović, Irma / Ikram, M Arfan / Ahmad, Shahzad / Ghanbari, Mohsen

    Clinical and experimental immunology

    2023  Volume 215, Issue 3, Page(s) 251–260

    Abstract: MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression and different immune-related pathways. There is a great interest in identifying miRNAs involved in immune cell development and function to elucidate the ... ...

    Abstract MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression and different immune-related pathways. There is a great interest in identifying miRNAs involved in immune cell development and function to elucidate the biological mechanisms underlying the immune system, its regulation, and disease. In this study, we aimed to investigate the association of circulating miRNAs with blood cell compositions and blood-based immune markers. Circulating levels of 2083 miRNAs were measured by RNA-sequencing in plasma samples of 1999 participants from the population-based Rotterdam Study collected between 2002 and 2005. Full blood count measurements were performed for absolute granulocyte, platelet, lymphocyte, monocyte, white, and red blood cell counts. Multivariate analyses were performed to test the association of miRNAs with blood cell compositions and immune markers. We evaluated the overlap between predicted target genes of candidate miRNAs associated with immune markers and genes determining the blood immune response markers. First, principal component regression analysis showed that plasma levels of circulating miRNAs were significantly associated with red blood cell, granulocyte, and lymphocyte counts. Second, the cross-sectional analysis identified 210 miRNAs significantly associated (P < 2.82 × 10-5) with neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index. Further genetic look-ups showed that target genes of seven identified miRNAs (miR-1233-3p, miR-149-3p, miR-150-5p, miR-342-3p, miR-34b-3p, miR-4644, and miR-7106-5p) were also previously linked to NLR and PLR markers. Collectively, our study suggests several circulating miRNAs that regulate the innate and adaptive immune systems, providing insight into the pathogenesis of miRNAs in immune-related diseases and paving the way for future clinical applications.
    MeSH term(s) Humans ; Circulating MicroRNA/genetics ; Cross-Sectional Studies ; MicroRNAs/genetics ; Biomarkers ; Blood Platelets
    Chemical Substances Circulating MicroRNA ; MicroRNAs ; Biomarkers ; MIRN149 microRNA, human
    Language English
    Publishing date 2023-11-11
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 218531-3
    ISSN 1365-2249 ; 0009-9104 ; 0964-2536
    ISSN (online) 1365-2249
    ISSN 0009-9104 ; 0964-2536
    DOI 10.1093/cei/uxad126
    Database MEDical Literature Analysis and Retrieval System OnLINE

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