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  • 1
    In: Bangabandhu Sheikh Mujib Medical University Journal, Bangladesh Academy of Sciences, Vol. 15, No. 2 ( 2023-01-16), p. 107-109
    Abstract: Lumbar disc herniation resulting in compression and inflammation of nerve roots causes low back pain and radiculopathy. Per-operative use of steroids may help reduce inflammatory reaction and scar formation, causing less postoperative pain. The study aimed to assess the early outcome of radiculopathy with local application of steroids in peri-neural space after lumbar discectomy. This experimental study was carried out in the Department of Neurosurgery of the National Institute of Neuroscience and Hospital (NINS & H), Dhaka from March 2019 to August 2020. A total of 68 patients operated for prolapsed lumbar intervertebral disc (PLID) at L4/L5 and /or L5/S1 levels were divided into two groups. Patients who did not receive steroids (n=34) and those who received steroids (n=34) in peri-neural space were considered group A and group B, respectively. Patients were examined on the 1st, 2nd and 14th postoperative days to measure the pain intensity by the Visual Analogue Scale (VAS). Pre-operatively mean (standard deviation, sd) VAS was 7.41 (1.28) in Group A and 7.91 (0.9) in Group B (p-value 〉 .05). Mean (sd) improvement of pain intensity on day 1, was 58.82 (17.55)% in Group A and 70.59 (12.26)% in Group B from pre-operative VAS. On day 2, 71.69 (12.43)% improvement was seen in Group A and 79.78 (9.74)% in Group B. On day 14, 75.37 (9.96)% improvement was seen in Group A and 83.46 (7.36)% in Group B from pre-operative. The improvements of VAS in all 1st, 2nd and 14th days were statistically significant (p-value 〈 .05) between the two groups. Local application of steroids in peri-neural space found effective in reducing early postoperative radiculopathy following lumbar discectomy. BSMMU J 2022; 15(2): 107-109
    Type of Medium: Online Resource
    ISSN: 2224-7750 , 2074-2908
    Language: Unknown
    Publisher: Bangladesh Academy of Sciences
    Publication Date: 2023
    detail.hit.zdb_id: 2573885-9
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  • 2
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 3
    Online Resource
    Online Resource
    Innovative Research Publication ; 2018
    In:  International Journal of Innovative Research in Computer Science & Technology Vol. 6, No. 4 ( 2018-07), p. 87-90
    In: International Journal of Innovative Research in Computer Science & Technology, Innovative Research Publication, Vol. 6, No. 4 ( 2018-07), p. 87-90
    Type of Medium: Online Resource
    ISSN: 2347-5552
    Uniform Title: Role and Impact of Biomedical Engineering Discipline for Developing Country Perspective
    Language: Unknown
    Publisher: Innovative Research Publication
    Publication Date: 2018
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  • 4
    In: Renewable Energy Focus, Elsevier BV, Vol. 47 ( 2023-12), p. 100491-
    Type of Medium: Online Resource
    ISSN: 1755-0084
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2451929-7
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  • 5
    Online Resource
    Online Resource
    IOS Press ; 2019
    In:  Asian Journal of Water, Environment and Pollution Vol. 16, No. 3 ( 2019-07-19), p. 1-7
    In: Asian Journal of Water, Environment and Pollution, IOS Press, Vol. 16, No. 3 ( 2019-07-19), p. 1-7
    Type of Medium: Online Resource
    ISSN: 0972-9860 , 1875-8568
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2019
    detail.hit.zdb_id: 2167739-6
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  • 6
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2676, No. 1 ( 2022-01), p. 622-636
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2676, No. 1 ( 2022-01), p. 622-636
    Abstract: Single-vehicle crashes have been shown to differ from two-plus vehicle crashes. Several studies have discussed the issues with modeling single-vehicle and two-plus vehicle crashes together. However, none of the empirical studies have attempted to study two-vehicle (2V) and multiple-vehicle (MV), that is, three-plus crash groups, to understand their correlation and influencing factors. This study first investigated whether there is a need to develop separate safety performance functions for 2V and MV crashes, in addition to single-vehicle crashes. Then, the correlation and influencing factors of 2V and MV were evaluated. Three regression models—a correlated bivariate negative binomial regression (BNR) model, an uncorrelated bivariate negative binomial regression (NR) model, and a univariate negative binomial regression (UNR) model, were developed and compared. The analysis was based on the 2011–2015 crashes that occurred on I-4 in Florida. Findings indicated that the BNR model significantly outperformed the NR and the UNR models. The model results suggest that disaggregating 2V and MV crashes while allowing correlation between the groups for the latent effects in the model best describes the data. Traffic volume, posted speed limit, and median type were found significant in contributing to the occurrence of both 2V and MV crashes. Additional contributing factors for 2V crashes included the presence of interchange influence area, and for MV crashes, the presence of a vertical curve and the presence of a horizontal curve. Study findings could assist transportation officials in implementing specific safety countermeasures for road segments identified as hotspots for 2V and MV crashes.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2403378-9
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  • 7
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: Women are moving forward with males across all domains in today’s modern world. However, women are yet to experience the same priority. Public transport (PT) is one of the many areas where they very often encounter challenges. When it comes to regularly using PT, women suffer the most. Even though it is mainly women who are at risk of harassment on PT, policymakers frequently ignore this fact in a male-dominated society. This study’s primary goal is to identify the main factors contributing to women being harassed on PT from a female and male perspective. Additionally, the most vulnerable mode from the viewpoint of harassment and safety measures arising from harassment were examined. This study assessed 1,600 responses from a questionnaire survey with a balanced gender distribution. Results were predicted using the Bayesian belief network (BBN). The study explored the most likely contributing causes to harassment in transportation environments and, notably, the respondents identified a male-dominated culture as the primary source of harassment. Regardless of gender or location, a bus is regarded as the PT mode on which women are most vulnerable. Rail is always preferred over other PT when traveling long distances. In conclusion, several policies have been proposed. The researchers suggest a “5P” policy in light of the respondents’ comments, prior research, and the current environment. A safe, dependable PT system can be ensured by implementing new technologies, updating design, and providing drivers and staff with appropriate training.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
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  • 8
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  Transportation Research Record: Journal of the Transportation Research Board Vol. 2676, No. 9 ( 2022-09), p. 677-692
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications, Vol. 2676, No. 9 ( 2022-09), p. 677-692
    Abstract: The objective of this study was to identify pedestrian crash hotspots and assess the built environment to identify factors that increase the probability of a roadway corridor becoming a hotspot. Therefore, this research attempted to identify the pedestrian hotspots and then answer the question, do locations with a “specific built environment” have a higher probability of becoming a pedestrian crash hotspot? The study used 4 years of pedestrian crash data (2011 to 2014) from Miami-Dade County, one of the top three leading counties in the United States with the highest pedestrian fatalities. Pedestrian crash hotspots were first identified in the ArcGIS environment, integrating spatial analysis. The Bayesian complementary log-log (cloglog) model was then used to develop a hotspot risk prediction model, in which the likelihood of a corridor becoming a hotspot was linked to the built environment, and to demographic and socioeconomic factors. The density of bus stops, shopping centers, healthcare facilities, hotels, alcohol sales establishments, households without vehicles, traffic volume, presence of sidewalks, and presence of medians were found to significantly increase the likelihood of a corridor becoming a pedestrian crash hotspot. The methodological framework and findings of this study could be used while developing site-specific proactive measures to improve pedestrian safety.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2403378-9
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  • 9
    Online Resource
    Online Resource
    SAGE Publications ; 2023
    In:  Transportation Research Record: Journal of the Transportation Research Board
    In: Transportation Research Record: Journal of the Transportation Research Board, SAGE Publications
    Abstract: Pedestrians account for 65% of all traffic fatalities worldwide. A sub-category of pedestrians is vehicle-to-vehicle vendors, who pose a concern in countries with rapid motorization. For example, 70% of traffic fatalities in Nigeria involve general pedestrians and vendors. Previous studies have highlighted vendors’ heterogeneous road crossing and car-following behaviors. Furthermore, they create a nuisance for general pedestrians. This study contrasts the risk perception of vehicle-to-vehicle vendors and general pedestrians and analyzes grouped and ungrouped illegal crossings of vendors. A questionnaire survey was developed, based on a literature review and expert knowledge, to identify variables associated with risk perception. Interviews based on a questionnaire were conducted in various locations in Dhaka, Bangladesh, which collected 1,019 responses containing information on the respondents’ demographic attributes, risk perception, aggressive behavior, near-crash experiences, and accepted yielding distances. Next, ordinal logit/probit and complementary log-log models were employed to analyze the data. The findings revealed that vehicle-to-vehicle vendors had a lower risk perception than general pedestrians. It also indicated that vendors would take a higher risk than general pedestrians. Furthermore, vendors jaywalking alone had a significantly lower perception of risk. Finally, gender, age, education, accepted yielding distance, and aggressive behavior were the most prominent factors affecting vendors’ risk perception. Gradually separating vendors from the traffic system by shifting them to proper street markets could be a critical solution.
    Type of Medium: Online Resource
    ISSN: 0361-1981 , 2169-4052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2403378-9
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  • 10
    In: Sustainability, MDPI AG, Vol. 15, No. 18 ( 2023-09-08), p. 13462-
    Abstract: This study explores the interplay among economic growth, financial globalization, urbanization, fossil fuel consumption, and renewable energy usage and their combined impact on the load capacity factor in Mexico. This research employs the load capacity factor as a unique measure of ecological health, facilitating a comprehensive ecosystem assessment by sequentially evaluating biocapacity and ecological effects. Using time series data spanning from 1971 to 2018, this study employs the Autoregressive Distributed Lag (ARDL) method to analyze both long-term and short-term dynamics and cointegration. The findings reveal that economic growth, fossil fuel usage, and urbanization reduce Mexico’s load capacity factor, thereby diminishing environmental quality. In contrast, the adoption of renewable energy sources and the influence of financial globalization exhibit positive effects on the load capacity factor over the long and short term. These outcomes remain consistent even when compared with alternative estimation techniques, including dynamic ordinary least squares (DOLS), fully modified least squares (FMOLS), and canonical cointegrating regression (CCR). As a priority, Mexican policymakers should accelerate the transition to renewable energy sources, encourage sustainable urban development, and foster a more ecologically conscious economic agenda. Furthermore, promoting greener technologies can enhance the load capacity and mitigate environmental degradation. Ultimately, Mexico can establish an environment conducive to expanding sustainable investments by encouraging cross-border investments, enabling global trade in financial services, and cultivating greater integration of capital and financial markets.
    Type of Medium: Online Resource
    ISSN: 2071-1050
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2518383-7
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