Research Outcomes Research Articles

Impact of androgenic anabolic steroid use on cardiovascular and mental health in Danish recreational athletes: protocol for a nationwide cross-sectional cohort study as a part of the Fitness Doping in Denmark (FIDO-DK) study

IntroductionThe use of androgenic anabolic steroids (AASs) among recreational athletes is steadily increasing. However, knowledge regarding the potentially harmful effects of AAS primarily originates from case reports and small observational...

Competing risks and multivariate outcomes in epidemiological and clinical trial research.

Data analysis methods for the study of treatments or exposures in relation to a clinical outcome in the presence of competing risks have a long history, often with inference targets that are hypothetical, thereby requiring strong assumptions for identifiability with available data. Here data analysis methods are considered that are based on single and higher dimensional marginal hazard rates, quantities that are identifiable under standard independent censoring assumptions. These lead naturally to joint survival function estimators for outcomes of interest, including competing risk outcomes, and provide the basis for addressing a variety of data analysis questions. These methods will be illustrated using simulations and Women's Health Initiative cohort and clinical trial data sets, and additional research needs will be described.

Audio-as-Data Tools: Replicating Computational Data Processing

The rise of audio-as-data in social science research accentuates a fundamental challenge: establishing reproducible and reliable methodologies to guide this emerging area of study. In this study, we focus on the reproducibility of audio-as-data preparation methods in computational communication research and evaluate the accuracy of popular audio-as-data tools. We analyze automated transcription and computational phonology tools applied to 200 episodes of conservative talk shows hosted by Rush Limbaugh and Alex Jones. Our findings reveal that the tools we tested are highly accurate. However, despite different transcription and audio signal processing tools yield similar results, subtle yet significant variations could impact the findings’ reproducibility. Specifically, we find that discrepancies in automated transcriptions and auditory features such as pitch and intensity underscore the need for meticulous reproduction of data preparation procedures. These insights into the variability introduced by different tools stress the importance of detailed methodological reporting and consistent processing techniques to ensure the replicability of research outcomes. Our study contributes to the broader discourse on replicability and reproducibility by highlighting the nuances of audio data preparation and advocating for more transparent and standardized practices in this area.

Investigating radiative heat transfer, varied wall thickness, and slip effects on Casson nanofluid flow over a stretched sheet with heat source

ABSTRACT Understanding the intricate interplay between variable fluid properties such as slip and thermal conductivity when flowing over porous surfaces is of utmost importance for a wide range of engineering applications. This investigation delves into this uncharted territory, connecting the analytical capabilities of HAM (Homotopy Analysis Method) to reveal captivating insights into the impact of these variables on the dynamics of Casson nanofluid flow. Besides, we documented the flow aspects which include thermal radiation, heat source, variable wall thickness and chemical reaction. We alter the partial differential flow-related conditions into nonlinear ordinary ones employing the similarity transformation approach. Then, using a popular semi-analytical technique known as the Homotopy Analysis Method (HAM), we were able to untangle them. This method yields to power series solutions to nonlinear differential equations. To illustrate the impact of the velocity, temperature and concentration profiles, parametric research has been done using tables and diagrams. In the limiting sense, the numerical results of our methodology are in great association with the outcomes of previous research. Finally, it is noted that higher values of the velocity slip parameter cause an enhancement in fluid velocity, while escalating values of the thermal slip parameter cause a decline in temperature distribution.

Trade-off analysis between gm/ID and fT of GNR-FETs with single-gate and double-gate device structure

This study examines the operational parameters of field-effect transistors (FETs) using single-gate (SG) and double-gate (DG) graphene nanoribbons (GNRs) within the analog/RF domain. A detailed exploration is conducted through an atomistic pz orbital model, derived from the Hamiltonian of graphene nanoribbons, employing the nonequilibrium Green’s function formalism (NEGF) for analysis. The atomic characteristics of the GNRFETs channel are accurately described by utilizing a tight-binding Hamiltonian with an atomistic pz orbital basis set. The primary focus of the analysis revolves around essential analog/RF parameters such as transconductance, transconductance generation factor (TGF), output resistance, early voltage, intrinsic gain, gate capacitance, cut-off frequency, and transit time. Furthermore, the study assesses the gain frequency product (GFP), transfer frequency product (TFP), and gain transfer frequency product (GTFP) to evaluate the balance between transistor efficiency, gain, and cut-off frequency. The research outcomes indicate that double-gate GNRFETs exhibit superior analog/RF performance in comparison to their single-gate counterparts. However, both types of devices demonstrate cut-off frequencies in the gigahertz range. The extensive data presented in this study provides valuable insights into the characteristics of SG and DG GNRFETs, particularly in terms of the figure-of-merit (FoM) for analog/RF performance, offering a comprehensive analysis of the trade-offs in analog applications. In addition, the analysis has been extended be performing a high-performance hybrid 6T static random-access memory (SRAM) to get the impact in their circuit level variation as well as improvement in their circuit performance.

A Bayesian approach for exploring person × environment interaction within the environmental sensitivity meta-framework.

For investigating the individual-environment interplay and individual differences in response to environmental exposures as captured by models of environmental sensitivity including Diathesis-stress, Differential Susceptibility, and Vantage Sensitivity, over the last few years, a series of statistical guidelines have been proposed. However, available solutions suffer of computational problems especially relevant when sample size is not sufficiently large, a common condition in observational and clinical studies. In the current contribution, we propose a Bayesian solution for estimating interaction parameters via Monte Carlo Markov Chains (MCMC), adapting Widaman etal. (Psychological Methods, 17, 2012, 615) Nonlinear Least Squares (NLS) approach. Findings from an applied exemplification and a simulation study showed that with relatively big samples both MCMC and NLS estimates converged on the same results. Conversely, MCMC clearly outperformed NLS, resolving estimation problems and providing more accurate estimates, particularly with small samples and greater residual variance. As the body of research exploring the interplay between individual and environmental variables grows, enabling predictions regarding the form of interaction and the extent of effects, the Bayesian approach could emerge as a feasible and readily applicable solution to numerous computational challenges inherent in existing frequentist methods. This approach holds promise for enhancing the trustworthiness of research outcomes, thereby impacting clinical and applied understanding.

The Africa non-communicable diseases (NCD) Open Lab: Impact of a portfolio of clinical studies to deepen the understanding of NCDs in sub-Saharan Africa.

Clinical research in sub-Saharan Africa (SSA) has often focussed on communicable diseases. However, with the increasing burden of non-communicable diseases (NCDs), there is a need for Africa-specific NCD research. GSK established the Africa NCD Open Lab in 2014. Three calls for proposals were advertised through various media channels. An external independent scientific advisory board, predominantly representing African scientists and NCD experts, reviewed and selected projects to receive funding. An additional programme in the Africa NCD Open Lab was designed to build statistical capability by supporting training initiatives. We assessed the impact of the Africa NCD Open Lab in three ways: scientific quality with impact; research training and professional development; and research environments. We captured metrics through regular reports/interactions with researchers; via a final report; and through exit interviews with principal investigators. Twenty projects in 11 African countries were funded; reports from 18 completed projects are available (data capture is ongoing). Overall, 139 articles have been published in peer-reviewed journals and other data have been presented at conferences and other forums. Most completed projects led to positive outcomes, such as further research, informing policy, or positively impacting clinical care, including three projects that saw changes to regional or national practice guidelines: the CREOLE study in Nigeria; the African Severe Asthma Program in Uganda; and the African Prospective Study on the Early Detection and Identification of Cardiovascular Disease and Hypertension in South Africa. Participation in the Africa NCD Open Lab led to the award of 34 grants related to or influenced by increased research capacity or experience. Significant professional development related to the projects also occurred with higher-level degrees being awarded, including 30 MScs, 30 PhDs, and nine postdoctoral fellowships. Through these projects, research capacity was strengthened across the region by equipping core research facilities, training research staff, strengthening research support services, and supporting the expansion of investigator networks. The completed Africa NCD Open Lab projects demonstrate high-quality research outcomes addressing important health challenges with potential benefits to African populations. Based on the success of the Africa NCD Open Lab, additional funding has been secured to extend the Open Lab initiative.

Abstract PO5-11-12: The use of wearable sensors and patient-reported outcomes in breast cancer research: A literature survey

Abstract Background: Clinical outcome assessments (COAs) related to physical activity, sleep, and functional mobility (gait and balance) are common in breast cancer research as they provide insight into treatment effects and overall quality of life. Wearable sensors offer utility in supplementing traditional COAs by providing objective data by passive, continuous measurement, thereby gaining unique insight on functioning while reducing patient burden. However, a comprehensive understanding of how wearables are being used in breast cancer research and how they correlate with subjective measurement of functioning is lacking. Our aim was to identify how wearable sensors and patient-reported outcomes (PROs) are being utilized in breast cancer research, the common areas of overlap, as well as areas in which expanded use of wearable sensors may be beneficial in clinical breast cancer research. Methods: We conducted a non-systematic survey of breast cancer literature using electronic databases (PubMed, Web of Science, Elsevier and Clinicaltrials.gov) to identify oncology trials using both wearable sensors and PROs. Details such as PROs used, types of sensors used, and the data collected from these were extracted and summarized. There were no restrictions placed on the date and year of publication. Results: A total of 15 breast cancer studies, which used both wearable sensors and PROs to measure patient outcomes, were included in analysis. Accelerometers were implemented most frequently in the studies analyzed (73%) followed by pedometers (40%). The most common outcomes measured using wearable sensors were physical activity (47%) and sleep (47%), with only 1 study (7%) measuring functional mobility(gait and balance). The most common outcomes measured using PROs were sleep (47%), followed by quality of life (40%), physical activity (33%), and “other” parameters (40%; e.g., mood, fatigue, pain). Correlation between PRO and sensor metrics were sparce (20%), yet sensor measures of physical activity, sleep, and gait/balance correlated respectively with PROs of activity, sleep, and quality of life. Conclusions: Sleep, quality of life, and physical activity were the most common outcomes measured by PROs, while physical activity and sleep were the most common outcomes captured using wearable sensors. These results suggest there is alignment in outcomes gathered from wearable sensors and PROs, however additional insight may be gained by incorporating wearable sensors for assessment of functional mobility (e.g. walk or balance tests) as these areas are known to impact quality of life in cancer patients and cancer survivors. Further, few studies analyzed correlations between the two measurement systems, suggesting a greater need in understanding how objective measures via wearable sensors and subjective measurements relate. Citation Format: Kelly Dumais, Adam Jagodinsky, Saima Khakwani, Rebecca Bonaker, Bryan McDowell, Kristen Sowalsky. The use of wearable sensors and patient-reported outcomes in breast cancer research: A literature survey [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-11-12.

Exploring Cultural Competence, Inclusivity, and Diversity in Ketamine Assisted Psychotherapy: A Phenomenological Study

ABSTRACT Black, Indigenous, and People of Color (BIPOC), and other minoritized populations are insufficiently represented in research on therapeutic psychedelics. This research was a phenomenological qualitative exploration of a culturally diverse (Hispanic, African American, Asian, Native American, biracial, or LGBTQIA+) and low-income sample of 15 individuals receiving ketamine-assisted psychotherapy (KAP) at a sliding-scale fee community clinic. Participants were interviewed after a ketamine session, after a ketamine integration session, and one month later. The interviews inquired about mental and emotional state prior to treatment and the treatment context (traditionally called set and setting), preparation for treatment, experiences during the ketamine and integration sessions, barriers to treatment, perceived stigma if any, reflections on KAPs’ impact, and relevance of culture to the treatment. The current analysis, which focuses on participant comments related to diversity, equity, and inclusion that are uniquely relevant to this sample and the research goals, yielded four major themes: Insufficient Financial Resources, Race, Ethnicity, and LGBTQIA+, Stigma, and Culture and Ritual. Themes and subthemes are presented accompanied by representative quotes. Results demonstrate the high salience of culture in the KAP experience and the need to incorporate issues of race, culture, stigma, ritual, and socioeconomic status into treatment planning and outcome research.

Precision Medicine in Congenital Heart Disease, Rheumatic Heart Disease, and Kawasaki Disease of Children: An Overview of Literature

Congenital heart disease and common acquired heart diseases like Kawasaki disease and rheumatic heart disease are prevalent cardiovascular conditions in children worldwide. Despite the availability of treatment options, they continue to be significant contributors to morbidity and mortality. Advancements in early diagnosis, improvements in treatment approaches, and overcoming resistance to available treatments are crucial to reduce morbidity. Researchers have turned to precision medicine to tackle these challenges. We aimed to analyze the existing literature concerning the utilization of precision medicine in congenital heart disease, rheumatic heart disease, and Kawasaki disease. The emphasis is placed on comprehending the key themes explored in these studies and evaluating the present state of their clinical integration. The central theme of most studies revolves around the examination of genetic factors. Despite promising research outcomes, limitations in these studies indicate that the clinical implementation of precision medicine in these conditions remains a distant prospect, necessitating additional exploration and attention to confounding factors.

Risk-based life cycle cost–benefit analysis for progressive collapse design of RC frame structures

Progressive structural collapse is a typical low-probability high-consequence event. Progressive collapse design can effectively improve the robustness of structures against accidental local damage and reduce the probability of collapse. However, progressive collapse design also increases the construction cost of buildings. Hence, it is necessary to conduct cost-benefit analyses for the progressive collapse design of building structures. This study first designs a reinforced concrete (RC) frame based on a progressive collapse design program that simultaneously optimizes material consumption and structural resistance. Then, the structural failure probability is quantified using an alternative path (AP) method-based fragility analysis that considers the structural uncertainties. Based on this, the life cycle costs and benefits of the structure designed with different design load factors are investigated. A four-story RC frame is used as an example. By considering the time value of money and threat probability, the break-even points and optimized design load factors for the progressive collapse design of the RC frame are analyzed. These research outcomes can help promote progressive collapse design in engineering practice and provide references for proposing scientific and reasonable design load factors.

Which battering interventions work? An updated Meta-analytic review of intimate partner violence treatment outcome research

Which battering interventions work? An updated Meta-analytic review of intimate partner violence treatment outcome research

Effects of carbon emission trading system on corporate green total factor productivity: Does environmental regulation play a role of green blessing?

Extant studies focus on the impact of environmental regulation on regional economic growth or environmental pollution, and a lot of research outcomes have been made. However, from the perspective of corporate green sustainable development, the question of whether carbon emission trading represents a “green blessing” remains unclear. To address this issue, we employ a staggered difference-in-differences model to investigate the effects and mechanisms of the carbon emissions trading pilot policy (CETPP) on the green total factor productivity (GTFP) of listed manufacturing companies in China. Our results demonstrate that: a) CETPP can effectively promote corporate GTFP, and the robustness of this result is verified through a series of checks; b) the mediating role of environmental, social, and governance (ESG) performance is critical in the relationship between CETPP and corporate GTFP, with environmental and governance performance serving as two key transmission channels; and c) CEO green experience and public environmental concern both play the moderating roles on the relationship between CETPP and GTFP; d) CETPP has a stronger positive impact on GTFP of private enterprises and enterprises in the maturity life cycle; and e) CETPP has a spatial spillover effect on GTFP, and the effect will decay as spatial distance increases. Our study offers both theoretical and practical implications for enterprises to achieve their green economic development objectives, so as to promote China's high-quality development.

Biography of Pandit Divi Gopalacharlu: A revolutionary reformer of Ayurveda in preindependent India

Abstract Pandit Divi Gopalacharlu was a legendary Ayurvedic physician who provided valuable service to Ayurveda and made a remarkable contribution to the upliftment of Ayurveda. His primary education and Sanskrit studies were held in Machalipatnam, and he completed his studies at Mahant school in Tirupati and was conferred with the title “Acharya.” He completed his Ayurveda education at Maharajah’s Ayurveda Oriental School in Mysore. The British Government recruited him as a special plague officer in 1895. He succeeded in curing and controlling the disease. His services were applauded across India for his exceptional contribution and successful management of an emergency epidemiological condition through Ayurveda. Later, he worked as Chief Physician at a free dispensary hospital of Kanyaka Parameswari Devasthanam and Charities. He established the Ashramam of Ayurveda. He started teaching Ayurveda in Telugu and tried to create awareness among people about Ayurveda. He started Ayurvedashrama Granthamala and published nearly 20 Ayurvedic texts. He wrote translations and commentaries in Telugu for the classical Ayurvedic texts. He also started a journal, Dhanvantari, to publish various research outcomes of Ayurveda. He deciphered many inscriptions that had medical importance. He was honored with many awards and worked as the president of many committees. Through Kanyaka Parameswari Devasthanam and Charities, he started a free hospital and Ayurveda college. He established Madras Ayurveda Laboratory and started manufacturing and supplying Ayurvedic medicines all over India. He prepared hundreds of medicines and set standards for the preparations. This article covers his contributions and scholarliness in detail.

Housing-industry transformation development and rural revitalization path based on complex adaptive system in Three Gorges Reservoir Area of China

The core of dual circulation in the Three Gorges Reservoir Area (TGRA) and the greening Yangtze River is sustainable development. Reservoir housing-industry coordinate sustainable is extremely important to ensuring a more sustainable TGRA. Here, we investigate the overall characteristics of housing-industry transformation development and rural revitalization path in the TGRA at microscopic perspective. Taking Wutu village (WTV), a historical and cultural rural in the TGRA, as case study area, we also analyze the evolution, stage characteristics, and trends of housing-industry system (HIS) using theoretical analysis and empirical research from the perspective of spatio-temporal-development and complex adaptability system model. The findings reveal that: (1) In the traditional housing-industry separation stage(1978–1998), the development of villagers' self-organization and the positive and correct leadership of the village party branch are the dominant forces for the evolution of HIS in WTV. The adaptive behavior of the main body and the strength of the housing-industry effect are limited, and the evolution of the HIS is in the accumulation stage of quantitative change. (2) In the stage of cooperative transformation of housing-industry (1999–2018), the positive and correct leadership of the village party branch is the dominant force of the evolution of HIS in WTV, and the government's policy support is the main force of the evolution of HIS in WTV. (3) In the stage of modern housing-industry integration (2019 to present), the interaction of multiple subjects is the dominant force in the evolution of HIS in WTV. Multiple entities further adapt to various changes in the external environment, and the system structure and level have taken a qualitative leap. Overall, the evolution of HIS in WTV is a dynamic and continuous process. Based on the evolution stage and driving mechanism of HIS, it is necessary to improve the self-organization and adaptive response and ability of the complex adaptive system in WTV, adapt to the general law of system evolution, and effectively regulate the transformation and upgrading of HIS in WTV. Our research outcomes offer valuable insights for fostering rural transformation, enhancing the housing-industry environment, and ultimately propelling the TGRA towards a more sustainable and prosperous future.

A feasibility and pilot study of a “lifelong learning” intervention for people with dementia

BackgroundDeveloping evidence for the use of psychosocial interventions for people with dementia is a research priority. This pilot study aimed to provide variability estimates for a set of outcome measures that would inform the development of a more extensive controlled study. The larger study will seek to explore the effect of attending a lifelong learning intervention for people with dementia compared to receiving treatment as usual. This pilot and feasibility stage also analysed how data collectors and researchers evaluated the use of the outcome measures in a sample of people with mild to moderate dementia.MethodsBefore initiating the pilot study, a participant consultation was conducted with people with dementia, who attend a lifelong learning service known as a dementia school, and their teachers. From this consultation, the research outcomes identified were the mini-mental state examination (MMSE), Quality-of-Life Alzheimer’s Disease (QoL-AD), General Self-Efficacy Scale (GSE), Rosenberg self-esteem scale, and the Friendship scale. The following study was divided into two steps. In step 1, participants were people with dementia attending a dementia school (intervention group) or usual services (control group). The participants were tested at baseline and at a 6-month follow-up. Data were collected between November 2018 and July 2019. In step 2, feasibility and acceptability issues with the recruitment of participants, data collection process, and outcome measures, identified in step 1, were evaluated through a data collector focus group.ResultsFifty-five people with dementia were included in the analysis. Step 1 provided estimates of changes from baseline to follow-up, and ancillary standard deviations were supplied for all outcome measures. Step 2 provided reflections on the feasibility and acceptability of the intervention, data collection, and outcome measures. This included views on how people with dementia experience participating in a test situation.ConclusionsThis study provided estimates of change and variability in the outcome measures. Additionally, issues regarding data collection were identified and should be addressed in future studies. The project demonstrated how to support people with dementia to participate in research that is meaningful to them.Trial registrationAccording to national legislation, registration with a database of clinical studies was optional, as the study evaluated existing activities rather than a clinical intervention.

Pre-service Teachers' Perspectives on the Integration of Technology in Future Education: Between English Education and Ethics Education Majors

The current study aimed to investigate the perceptions of pre-service teachers regarding the integration of advanced technologies into future education and to examine whether these perceptions differ significantly based on the pre-service teachers' academic majors. The participants consisted of 110 pre-service teachers majoring in Ethics education and English education at a university in Korea's Gyeongsang Province. A questionnaire comprising 59 items was administered, addressing aspects such as interest in the utilization of advanced technologies, resistance to their use, concerns about their application, and expectations for the future of education over the next decade. Statistical analyses, including a paired t-test, an independent <i>t</i>-test, frequency analysis, and analysis of variance, were employed to examine differences based on variables of gender and major. </br>The study revealed statistically significant disparities in the perceptions of pre-service teachers from distinct majors, particularly between English education majors and ethics education majors, concerning the incorporation of advanced technologies in education. English education majors demonstrated notably high awareness, particularly in the domain of neural machine translation. Conversely, ethics education majors demonstrated a lower inclination to embrace the use of advanced technologies in their instructional practices. Additionally, ethics education majors expressed the belief that the role of teachers would become more pivotal in classes integrating these technologies. Considering these research outcomes, it becomes evident that future education for pre-service teachers should underscore comprehensive training in both digital technology education and the development of competencies in areas where artificial intelligence cannot replace the role of educators.

Capital Structure, Corporate Governance and Profitability of Listed Industrial Goods Firms in Nigeria

Nowadays, industrial goods firms have experienced draught in debt financing due to the lending preference of financial institutions to firms in the oil and gas sector, corporate failures and financial scandals as well as the overstatements of accounts of some firms in and outside Nigeria blamed to be as a result of account improprieties and ineffective board of directors also Issues of the mixed outcome of previous researches; thus, necessitating and justifying the need for undergoing more investigations into the subject area. The objective of this study is to determine the overall effect of capital structure and corporate governance on profitability with the influence of firm size of the sampled industrial goods firms. The study used multiple regressions as a tool for analysis. The population of the study includes the thirteen (13) industrial goods firms listed by the Nigerian Stock Exchange as of 31st December 2022 out of which ten (10) are considered as sample size. The study employed panel data analysis by using random-effect estimation model as alternatively considered more appropriate. Secondary data explored from the annual reports and accounts of the sampled firms for the period of ten (10) years from 2013 to 2022 were analyzed. The results revealed that Leverage, board size and firm size are negatively significant at 1% level of significance. While board composition is positively significant at 5% level of significance to the profitability of the sampled firms. In view of the findings, it is recommended that the financial managers/ management of the industrial goods firms should have more independent directors of its board size to enhance proper control over the activities of the managers through which profit level would be increased. It is therefore recommended to conduct careful evaluation and take into consideration on leverage, board size and firm size that influence the profitability of their firms before making major business decisions as this will go a long way in improving their profitability.

Extent, transparency and impact of industry funding for pelvic mesh research: a review of the literature

BackgroundConflicts of interest inherent in industry funding can bias medical research methods, outcomes, reporting and clinical applications. This study explored the extent of funding provided to American physician researchers studying surgical mesh used to treat uterine prolapse or stress urinary incontinence, and whether that funding was declared by researchers or influenced the ethical integrity of resulting publications in peer reviewed journals.MethodsPublications identified via a Pubmed search (2014–2021) of the terms mesh and pelvic organ prolapse or stress urinary incontinence and with at least one US physician author were reviewed. Using the CMS Open Payments database industry funding received by those MDs in the year before, of and after publication was recorded, as were each study’s declarations of funding and 14 quality measures.ResultsFifty-three of the 56 studies reviewed had at least one American MD author who received industry funding in the year of, or one year before or after publication. For 47 articles this funding was not declared. Of 247 physician authors, 60% received > $100 while 13% received $100,000-$1,000,000 of which approximately 60% was undeclared. While 57% of the studies reviewed explicitly concluded that mesh was safe, only 39% of outcomes supported this. Neither the quality indicator of follow-up duration nor overall statements as to mesh safety varied with declaration status.ConclusionsJournal editors’ guidelines re declaring conflicts of interest are not being followed. Financial involvement of industry in mesh research is extensive, often undeclared, and may shape the quality of, and conclusions drawn, resulting in overstated benefit and overuse of pelvic mesh in clinical practice.

Harnessing earthquake generated glass and plastic waste for sustainable construction

On February 6, 2023 Türkiye witnessed two massive earthquakes of magnitudes 7.6 and 7.8 centred near Gaziantep Province. The aftermaths of the earthquakes were devastating. Thousands of people were dead under the rubble of collapsed buildings and millions displaced. The challenge was the disposal of tons of debris generated due to the destruction of structures and roads, and the construction of new buildings for relocation of displaced people. Not only being uneconomical, the disposal and new construction also became a major environmental concern. A solution to this problem lies in the constructive disposal of earthquake wastes i.e., the utilization of waste materials from debris generated after an earthquake in order to ensure its proper and beneficial disposition. The article provides a two problems one solution technique in this regard. Research techniques and outcomes of modification of glass and plastic waste in the industries for the manufacture of good quality construction materials and the subsequent use of these materials in construction are reviewed. Further analysis is carried out to determine whether the application of this knowledge in practical field ensures that both environmental and economical requirements are met.