ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
A selective disassembly multi-objective optimization approach for adaptive reuse of building components

Adaptive reuse of buildings plays a key role in the transition from a resource-based economy and towards a Circular Economy (CE) in the construction industry. Adaptive reuse has the potential to maximize the residual utility and value of existing assets through green design methods such as selective disassembly planning. Studies in the field of selective disassembly are scarce and there is no evidence of established methodologies for the optimization of the environmental and financial benefits. A multi-objective analysis is key to obtaining several effective selective disassembly plans for the adaptive reuse of an existing asset through the combination of different deconstruction methods. The analysis is carried out in terms of the physical, environmental, and economic constraints of the deconstruction methods per building component. The Sequential Disassembly Planning for Buildings (SDPB) method is used in order to generate the optimized disassembly plans for retrieving target components. At the end, a weighted multi-objective optimization analysis is incorporated to generate the set of noninferior solutions that minimizes environmental impacts and building cost. The results show that different complete disassembly plans exist for all the possible combinations. The possible combinations are driven by the deconstruction methods per component, as well as the dismantling interdependence. The method described in this study can be used to improve the project outcomes according to specific goals and constraints (e.g. environmental, economic, technical). The results of this study improve the decision-making process for adaptive reuse building projects by adding comprehensive quantitative analysis towards sustainable management and conservation of resources.
Dynamical analysis of coronavirus disease with crowding effect, and vaccination: a study of third strain

Countries affected by the coronavirus epidemic have reported many infected cases and deaths based on world health statistics. The crowding factor, which we named "crowding effects," plays a significant role in spreading the diseases. However, the introduction of vaccines marks a turning point in the rate of spread of coronavirus infections. Modeling both effects is vastly essential as it directly impacts the overall population of the studied region. To determine the peak of the infection curve by considering the third strain, we develop a mathematical model (susceptible-infected-vaccinated-recovered) with reported cases from August 01, 2021, till August 29, 2021. The nonlinear incidence rate with the inclusion of both effects is the best approach to analyze the dynamics. The model's positivity, boundedness, existence, uniqueness, and stability (local and global) are addressed with the help of a reproduction number. In addition, the strength number and second derivative Lyapunov analysis are examined, and the model was found to be asymptotically stable. The suggested parameters efficiently control the active cases of the third strain in Pakistan. It was shown that a systematic vaccination program regulates the infection rate. However, the crowding effect reduces the impact of vaccination. The present results show that the model can be applied to other countries' data to predict the infection rate.
Removal of heavy metals from wastewater using agricultural byproducts

The use of agricultural waste to remove heavy metals from wastewater has attracted much attention due to its economic advantages and high removal efficiency which is attributed to different functional groups. The sorption mechanism of biomass can consist of several steps including chemisorption, complexation, adsorption on surface, diffusion through pores, and ion exchange. Heavy metals were removed in different rates depending on the adsorbent and metal itself. For instance, coconut waste showed adsorption capacities of 263 and 285 mg/g in removing lead and cadmium ions, respectively. Also, black oak bark has adsorbed mercury in an adsorption capacity of 400 mg/g, while wheat brans adsorption capacity for chromium was 310 mg/g. The adsorption capacity is commonly calculated by Lagergren's first-order equation, the Redlich Peterson model, and the Brunauer-Emmett-Teller (BET) model. However, Langmuir and Freundlich models were intensively used to calculate the adsorbed amount by a unit weight of solid sorbents. This review article aims to present the recently available information on utilizing the biomass materials for heavy metals removal. Here, we highlight the increasing use of these materials due to their low cost, regeneration ability, high adsorption efficiency, and small chemical or biological sludge with a possibility of metal recovery.
Distributed energy systems as common goods: Socio-political acceptance of renewables in intelligent microgrids

The future social-technical system (STS) of power supply based on renewables depends heavily upon the rapid emergence of Distributed Energy Systems (DES). The prime object of Social Acceptance processes of renewable energy innovation becomes the issue of how to incorporate DES. The realization of this transformation requires the escape from locked-in hierarchy and standardized design of the centralized grid. This review elaborates the advanced conceptualization of Social Acceptance, particularly its socio-political layer. High diffusion of DES in intelligent microgrids leads to polycentricity replacing hierarchy. Therefore, the main object of 'socio-political acceptance' concerns institutional changes replacing hierarchy by co-production within STSs applying DES. Renewables become 'common goods' in such systems, instead of 'private' or 'public' goods. Systems providing 'common goods' like renewables -that are natural resources-show similarities to socialecological systems, the self-governing entities in common pool resources theory. Application of this institutional theory to co-production in DES leads to the following conclusions on socio-political acceptance. Renewables generation, integration, storage, intelligence and demand response require a shift towards co-producing prosumers. Electricity as an economic good must be redefined from commercial private commodity delivered in a public grid towards a co-produced common good. Essential for common prosumer-based DES is the application of peer-to-peer deliverance (P2P). Policy must avoid to interfere in this and also should remove legal obstructions and transaction costs for P2P and coproduction. As space is the prime scarcity factor for DES, prosumers' communities should also be empowered in co-producing land use decisions for construction of their DES infrastructures.
Comparative study on asphalt pavement rut based on analytical models and test data

Asphalt pavement rut influences the durability of the pavement as well as traffic safety. The influence of a flexible and a semi-rigid base on asphalt pavement rut has not been researched in detail. Using theoretical and experimental research on asphalt pavement rut, the objective of this project is to determine the differences in asphalt pavement rut for different base types and the influence of the base on the pavement's performance. The research details include an analysis of asphalt pavement rut for different base conditions using ABAQUS FEA software, an indoor rut test, and actual engineering data. For rut of asphalt surface and base(Surface and base rut means the total deformation of asphalt surface layer and base.), semi-rigid base asphalt pavement is less than flexible base asphalt pavement, but for rut of surface(Rut of surface means the deformation of asphalt surface), flexible base asphalt pavement is less than semi-rigid base asphalt pavement. This demonstrates a greater durability of asphalt pavement with a flexible base compared to a semi-rigid base. The research results provide reference values for asphalt pavement design and the described applications have economic and social benefits.
Testing for cirrhosis

Cirrhosis can be suspected by a thorough clinical assessment, but compensated liver disease is often asymptomatic. Select investigations are therefore critical for identifying patients with advanced liver disease and cirrhosis Biomarkers and validated serum tests can evaluate liver damage and synthetic function. The ratio of the concentration of aspartate aminotransferase to the platelet count can predict the presence of cirrhosis Non-invasive imaging techniques, from basic ultrasound to elastography, are critical adjuncts to the clinical assessment of cirrhosis. They reduce the need for liver biopsy Careful monitoring, prescribing and appropriate specialist referral are key considerations in cirrhosis management. Early diagnosis can help to improve the outcomes for patients.
A novel energy-economic-environmental multi-criteria decision-making in the optimization of a hybrid renewable system

The development of hybrid renewable systems is an economically competitive solution to reach energy decarbonization and reduction of greenhouse gasses. Based on the literature, energy, economic and environmental indicators were rarely simultaneously employed in the optimization of a hybrid renewable system. In addition, there is no procedures or a set of indicators to be applied uniformly in all applications for the shared analysis. The paper presents a novel energy-economic-environmental multi-criteria decision-making in the optimization of a hybrid renewable system, based on a new set of dimensionless indicators, proposed as a standard for future applications. The procedure compares the entire PV-wind-battery system configuration with the PV-wind, PV-battery and wind-battery system sub-configurations. A width parametric and multi-optimization analysis permit the identification of the most proper nominal powers of each system component. The procedure proposed was applied in a Mediterranean residential building, demonstrating that some system configurations allow complying simultaneously with at least two of the three energy objectives proposed, the cost-optimal level and the maximum reduction of emissions, for specific values of the load. The solar source was the most suitable both from energy, environmental and economic point of view, while the use of the wind source leads to a greater system operating time in the nominal power conditions. The study pointed out and quantified that, for specific loads, PV, wind and battery powers, the development of specific incentives for wind systems and of battery systems with a higher lifespan can help to make the hybrid systems more economically competitive.
Crosschecking teachers' perspectives on learning in a one-to-one environment with their actual classroom behavior - a longitudinal study

One-to-one laptop initiatives have become prevalent in schools aiming to enhance active learning and assist students in developing twenty-first-century skills. This paper reports on a qualitative investigation of teachers in a junior high school in Northern Israel, who were gradually implementing one-to-one computing. The research reported in this paper is based on longitudinal data collected over a five-year period and included all of the teachers who participated in the project. We triangulated teachers' perspectives and actual behavior by employing classroom observations, followed up with semi-structured interviews. This study aims to map teachers' perspectives on changes in teaching in one-to-one computing settings, and the pedagogical strategies that they use in one-to-one classrooms. To explore the depth of change in teaching, teachers' perspectives were mapped based on the SAMR framework, while the TEUCT-TEUIT approach was employed to categorize pedagogical strategies. The findings pointed to several benefits of using a laptop for teaching, as well as classroom management problems and technological problems while teaching. Analysis of the interviews revealed four categories which appeared in the original TEUCT/ TEUCT scales, alongside three additional categories which did not appear in the original scales, and emerged bottom-up from our data. Furthermore, findings indicated that some of the categories originally included in TEUCT, should rather be included in the TEUIT scale. The findings point to a change in teaching strategies, from a more teacher-centered teaching approach to a more student-centered learning approach.
Residential carbon emission embedded in China's inter-provincial population migration

Population migration embodies virtual residential energy consumption and carbon transfer from the origin to the destination. Based on the differences of the per capita levels between the sending-out origins and arriving-in destinations, we develop a model to estimate the inter-spatial transfer flows of residential carbon emissions, broken down by rural-to-urban, rural-to-rural, urban-to-rural and urban-to-urban flows. The net value of transfer-in and transfer-out residential carbon emission contributes to the change of the whole carbon emission. Using the latest census data and energy balance sheet in 2010, China's inter-provincial residential carbon emission flows embedded in the population migration were calculated and visualized. We found that China's non-Hukou migration increased the national total residential carbon emission. The largest transfer flows were mainly from central to eastern China. The northern provinces were also distinct destinations due to the high-carbon energy structure. The regional difference of residential energy consumption structures, the unbalanced regional economic development and origin-to-destination interaction were the main influencing factors. To promote low-carbon and environment-friendly urbanization, the energy optimization policy should be enhanced in the identified regions, especially in the Beijing-Tianjin area.
The impact of foreign direct investment on urban PM2.5 pollution in China

The hypothesis of "Pollution Heaven" or "Pollution Halo" has, for some time, been one of the central issues in environmental economics. There is a controversy in the conclusions with regards to China, it thus needs further empirical testing. Based on 2003 to 2016 statistical data on 285 Chinese cities, this paper uses a dynamic spatial panel model to empirically analyze the impact of foreign direct investment (FDI) on PM2.5 pollution. The results demonstrate that urban PM2.5 pollution shows both significant global spatial autocorrelation and local spatial agglomeration effects. Overall, FDI significantly aggravates China's urban PM2.5 pollution, thus confirming the "Pollution Heaven" hypothesis. This effect, however, depends on the stage of urban economic development. Although FDI has no significant effect on urban PM2.5 pollution in the initial stage of industrialization, it does aggravate urban PM2.5 pollution in the midterm stage. In the later period of industrialization, FDI actually improves urban PM2.5 pollution, but the effect of this improvement is relatively weak. Furthermore, PM2.5 pollution shows significant spatial spillover and dynamic effects. It follows that both joint prevention and control and continuous efforts must be made to control PM2.5 pollution.
Bacterial driver-passenger model in biofilms: a new mechanism in the development of colorectal cancer

Colorectal cancer (CRC) is a heterogeneous disease of the intestinal epithelium and ranks the third largest diagnosed malignancy in the world. Many studies have shown that the high risk of CRC is believed to be related to the formation of biofilms. To prove causation, it will be significant to decipher which specific bacteria in biofilms initiate and maintain CRC and fully describe their underlying mechanisms. Here we introduce a bacterial driver-passenger model. This model added a novel and compelling angle to the role of microorganisms, putting more emphasis on the transformation of bacterial composition in biofilms which play different roles in the development of CRC. In this model, bacterial drivers can initiate the formation of CRC through genotoxicity, while bacterial passengers maintain the CRC process through metabolites. On the basis of these pathogens, we further turned our attention to strategies that can inhibit and eradicate these pathogenic biofilms, with the aim of finding new ways to hinder colorectal carcinogenesis.
Effect of horticultural therapy on mental health: A meta-analysis of randomized controlled trials

WHAT IS KNOWN ON THE SUBJECT?: Mental health assessment is a common topic in horticultural therapy (HT). Some study findings were contrary to positive findings, although several studies have explored the effect of HT on mental health and reported positive results. There is weak evidence in the benefits of HT based on evidence-based medicine. Stronger evidence of the link between HT and mental health will help in policy making by health policy makers and governments. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: The purpose of this meta-analysis of randomized controlled trials (RCTs) was to explore the effect of HT on mental health. This study is the first meta-analysis of RCTs to provide critical evidence that HT has a positive effect on mental health. The effect size of HT on mental health was medium (0.55). The included studies had no negative effects on mental health. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: HT should be considered a useful therapy to be integrated in healthcare settings by horticultural therapists to improve mental health. In the HT program, indoor and outdoor plant activities, plant-related arts, crafts and other activities were common interventions to improve specific mental health problems through at least eight sessions. ABSTRACT: Introduction HT has been widely used to promote mental health. However, heterogeneity and sample size issues of randomized controlled trials made it challenging to illustrate effect sizes across the evidence. Aim The purpose of this meta-analysis was to explore the effect of HT on mental health. Methods We used the PRISMA framework. A keyword search of Web of Science, PubMed, ProQuest and Cochrane was performed. The inclusion criteria were HT with RCTs and mental health assessments. A random-effects model was used to perform the meta-analysis. Results A total of 1,056 records were searched, and 18 eligible studies were extracted. The included RCTs had no statistical heterogeneity and publication bias. The meta-analysis showed that the HT experimental groups had a significant and positive impact on mental health compared with the control groups (effect size = 0.55). Discussion HT should be considered for enhancing mental health. The included studies had no negative outcomes and the most common HT intervention was at least eight sessions. Therefore, HT should be considered to enhance mental health. However, the concealed allocation and blinding processes should be improved in future studies. Implications for Practice: This study recommends that HT should be integrated into healthcare settings to improve mental health.
Strengthening Communities: A Qualitative Assessment of Opportunities for the Prevention of Adverse Childhood Experiences in the Wake of the Opioid Crisis

The opioid crisis is a significant challenge for health and human service systems that serve children, youth, and families across the United States. Between 2000 and 2017, the number of foster care entries, a type of adverse childhood experience (ACE), attributable to parental drug use increased by 147%. Nevertheless, there is variation in the burden of opioid overdose and foster care rates across the U.S., suggesting community supports and systems to support families affected by substance use also vary. This qualitative study sampled communities experiencing high and low rates of overdose mortality and foster care entries (i.e., a qualitative comparison group) to better understand what might protect some counties from high overdose mortality and foster care entries. The sample included six counties from three states that were selected based on their rates of opioid overdose mortality and foster care entries. Using purposive sampling within counties, interview and discussion group participants included multi-sector community partners, parents whose children had been removed due to parental substance use, and caregivers caring for children who had been removed from their homes. Across all counties, prevention was not front-of-mind. Yet, participants from communities experiencing high rates of overdose mortality and foster care entries identified several factors that might help lessen exposure to substance use and ACEs including more community-based prevention services for children and youth. Both parents and caregivers across all communities also described the need for additional supports and services. Participants also described the impact of COVID-19 on services, including greater utilization of mental health and substance use treatment services and the challenges with engaging children and youth on virtual platforms. The implications for prevention are discussed, including the need to encourage primary prevention programs in communities.
Clay-polymer nanocomposites: Progress and challenges for use in sustainable water treatment

Contaminant removal from water involves various technologies among which adsorption is considered to be simple, effective, economical, and sustainable. In recent years, nanocomposites prepared by combining clay minerals and polymers have emerged as a novel technology for cleaning contaminated water. Here, we provide an overview of various types of clay-polymer nanocomposites focusing on their synthesis processes, characteristics, and possible applications in water treatment. By evaluating various mechanisms and factors involved in the decontamination processes, we demonstrate that the nanocomposites can overcome the limitations of individual polymer and clay components such as poor specificity, pH dependence, particle size sensitivity, and low water wettability. We also discuss different regeneration and wastewater treatment options (e.g., membrane, coagulant, and barrier/columns) using clay-polymer nanocomposites. Finally, we provide an economic analysis of the use of these adsorbents and suggest future research directions.
A Comparison of Effectiveness of Thai Traditional Massage and Tamsulosin in Lower Urinary Tract Symptoms: A Randomized Controlled Trial

The prospective clinical, non-inferiority study aimed to investigate the effectiveness of Thai traditional massage on lower urinary tract symptoms (LUTS) compared with Tamsulosin in Thai men. It was conducted on men aged 50 to 75 years old with LUTS (N = 45). Participants were blocked four randomly assigned into 2 groups. The control group (n = 25) was received 0.4 mg Tamsulosin daily and the study group (n = 20) was given Thai traditional massage for 4 weeks. The efficacy evaluation was performed by the International Prostate Symptoms Score (IPSS), a Thai version of the World Health Organization Quality of Life Questionnaire (WHO-QoL Brief), Uroflowmetry, and Post-void residual urine (PVR) at baseline and end of study. The background characteristics of participants were not significantly different between groups. Both interventions relieved LUTS in the total IPSS and the quality of life score associated with urination were decreased, described as symptoms and quality of life due to urination improvement after 4 weeks of intervention. Interestingly, the Thai traditional massage has significant improvement in total IPSS and voiding score (p < .05). Additionally, the time to peak flow rate, peak flow rate (Qmax), average flow rate (Qave) and voided volume of both interventions were improved with no statistical significance. PVR was decreased in both interventions. The WHO-QoL brief score was improved the total score. There was no significant difference in terms of uroflowmetry, PVR, and WHO-QoL brief scores compared between groups. The result suggests that Thai traditional massage has the potential to be an alternative treatment for LUTS.