Mature flower buds were collected from twenty species planted on the different roads in the Giza district from May to September 2022 and 2023. The pollen grains were examined carefully and photographed using a 40x10x magnification lens in an OPTICA (B-150D) light microscope fitted with a USB digital video Camera and Computer Software. At least 30 pollen grains/each species were measured and described. Non-catalyzed pollens were sputtered onto Aluminum stubs, coated with 30 nm gold, and examined and photographed using JEOL JSL IT 200 SEM. The morphological characters of the pollen grains were examined. According to the pollen size Acalypha wilkesiana and Tecoma stans were the smallest pollen grains, from 20.0μm to 26.0μm, which facilitate their introduction to the nose causing asthma and rhinitis. Clerodendrum inerme pollen grains have echinate exine surface, which causes allergic symptoms more than the psilate ones. Plumbago capensis has intectate exine with echinate columella causing human disorders. This study demonstrates the critical position of air pollution in this area with the change in the phenological aspects of the plants resulting in producing immature pollen grains in huge amounts, which cause human disorders and pollinosis. Our results showed that the studied species can induce allergy in one way or another if we consider the situation of the studied area, weather pattern, and pollen characteristics.

Aphids are important insect pests and are considered a major threat to various crops. In the laboratory experiment, our objective is to assess the toxicity level of some newer synthetic insecticides, viz. Imidacloprid, Flonicamid, and Spirotetramat against different species of aphids viz. maize leaf aphids (Rhopalosiphum maidis), green peach aphids (Myzus persicae), and mustard aphids (Liphaphis erysimi). The leaf dip bioassay was conducted to evaluate the LC50 and LT50 values. Among these novel molecules, Spirotetramat was the most toxic insecticide against R. maidis and M. persicae, with median lethal concentrations (LC50) of 0.68 and 3.99 ppm, and Flonicamid was the most toxic against L. erysimi with an LC50 value of 5.79 ppm. The median lethal concentrations for the Imidacloprid, Flonicamid, and Spirotetramat are different for each species of aphids. The LT50 values of the given insecticides revealed that the Imidacloprid has the potential for giving effective control of R. maidis, M. persicae, and L. erysimi species, as evidenced by the shorter time required for 50% mortality with LT50 values of 44.53, 49.19 and 44.90 hrs respectively with median lethal concentrations of 4.20, 5.14 and 10.86 ppm. The results indicated variations in toxicity among these different chemicals against different insect species.

The spectrum of the wind speed is expressed as the total wind speed that results from events split up into space, time, or both. It is the relationship shown between the energy or magnitude of any given parameter versus the frequency. In this study, the spectra of the wind speed at the Al-Reem site in Iraq were presented. Since the goal of the current research is to analyze wind speed and direction using the Fast-Fourier-Transform, experimental measurements for the wind speed and wind direction were taken every ten minutes for a year, from December 2014 to December 2015 at heights (10, 30, 50 m). Based on the performance of the Fast-Fourier-Transform, the peak with the highest spectral density, measured at 226,236.282 m/s at the frequency of 2 Hz, was found to be at a height of 50 m throughout the night, while the peak with the lowest height level. The spectral density was 115,863.7 m/s at a frequency of 2 Hz, at a height of (10 m) all into the night. Winds coming from the west and northwest were the most common direction in the region. In the morning, the wind was blowing faster than at night.

This study investigates the relationship between green marketing practices and the sustainability performance of manufacturing firms in emerging markets. A self-administered questionnaire was used to collect data from 270 respondents, and the analysis was conducted using Smart PLS-SEM (version 4). The results demonstrate a significant positive relationship between green internal marketing and the overall sustainability performance of the firms. Specifically, green marketing communication was found to positively influence both environmental and social performance, although it did not have a significant effect on financial performance. Likewise, the adoption of green products substantially improved environmental performance but did not significantly impact financial or social performance. Additionally, the study supports a positive association between green strategy implementation and sustainability performance. These findings underscore the critical role of integrating green marketing practices into sustainability initiatives. The research provides valuable insights for managers and policymakers, emphasizing the need for a holistic approach to green marketing to enhance environmental and social outcomes, even if financial benefits are not immediately apparent. This study contributes to the growing body of knowledge on sustainable business practices and offers practical implications for achieving long-term sustainability in manufacturing firms.

Forward Osmosis is a suitable pretreatment process for reverse osmosis for secondary-treated sewage reuse and secondary-treated industrial effluents. In this study, the FO process is investigated for concentrating synthetic secondary treated tannery effluents using 24 g.L-1 and 38 g.L-1 of NaCl solution as draw solution. Results showed that 38 g.L-1 NaCl solution when used, provided higher flux and lower flux decline ratio as compared to 24 g.L-1 NaCl solution. The solute rejection by FO membrane was more in FO experiments using 38 g.L-1 NaCl solution as DS as compared to 24 g.L-1 NaCl solution. Contact angle, Fourier transform infrared spectroscopy, and scanning electronic microscopy tests on pristine and chemically cleaned membranes indicated the change in membrane structure and the presence of foulants on the membrane surface, indicating insufficient chemical cleaning. Findings signify implications on the concentration of DS and the cleaning method adopted for concentrating treated tannery effluent efficaciously using the FO process.

Landslides are significant natural hazards that cause damage to the environment, life, and properties, mainly in hilly terrain. This research was mostly focused on generating a landslide susceptibility zone map of Papumpare District, Arunachal Pradesh, and classifying the region from high susceptibility to least susceptibility using AHP modeling techniques considering the landslide causative factors. The Analytical Hierarchy Process (AHP) is a multicriteria decision-making model (MCDM) in which each parameter is compared based on its role in triggering a landslide. A total of eight parameters were selected based on the factors that could affect the most, like Slope, Rainfall, Drainage Density, Lineament Density, Geomorphology, Soil, Geology, and Land use/Land cover. These layers were prepared using ArcGIS 10.8 software and ERDAS IMAGINE 2014. Based on the output, the region was classified into five zones of landslide susceptibility classes. Of these, the high-very-high landslides are mostly amassed near the steep and disturbed slopes due to earth-cutting, especially for building or construction of roads. Validation was done using the ROC curve (73.2%) suggesting good performance of the model. The outcome of this work will provide information for proper landslide hazard management and will help in formulating suitable mitigation strategies in the future.

The rapid increase in heavy metal accumulation within soil ecosystems has become a significant concern due to various anthropogenic activities such as industrial processes, agricultural practices, and urbanization. These activities have led to elevated levels of heavy metals like lead, cadmium, mercury, and arsenic in the soil, which, when surpassing permissible limits, pose severe toxicological risks to both human health and plant life. Once heavy metals are introduced into the soil, they can be readily absorbed by plants, subsequently entering the food chain and affecting the metabolic activities of humans and animals consuming these contaminated plants. Although trace amounts of heavy metals are naturally present in the soil, their concentration beyond safe thresholds can lead to deleterious effects, including disruption of enzymatic functions, damage to cellular structures, and interference with essential biological processes. Studies have highlighted that children living in urban and industrial areas are particularly vulnerable to heavy metal exposure, which can result in cognitive impairments, developmental delays, and various other health issues. Furthermore, long-term exposure to these metals can lead to chronic diseases such as cancer, kidney dysfunction, and cardiovascular disorders. Given the escalating threat posed by soil metal contamination, it is imperative to implement stringent management practices aimed at maintaining soil chemistry within safe limits. These practices may include the remediation of contaminated sites, the adoption of sustainable agricultural methods, regular monitoring of soil quality, and the use of phytoremediation techniques to mitigate the impact of heavy metals. Ensuring the safe production of food requires a comprehensive understanding of soil dynamics and the integration of innovative strategies to prevent and control heavy metal pollution. Consequently, addressing this environmental challenge is crucial for safeguarding public health, preserving ecological balance, and promoting sustainable development.

With traditional knowledge passing through generations and habits of indigenous people, the local communities perform a crucial role in managing the environment and development. It should be the Local communities who should be involved in the conservation and management of the wetland resources, however, increasing government controls and prohibitions are harming wetland conservation, which potentially promotes responsible use habits in the region. This literature review investigates the role of traditional knowledge systems (TKS) in wetland conservation, focusing on four key domains: agriculture, fishing practices, stormwater management, and traditional knowledge of wetland plants and produce harvesting. This review methodologically synthesizes current research to provide a thorough understanding of the contribution of traditional knowledge to wetland conservation efforts. It does this by using a total selection of 68 papers within a range of five to ten articles per category. Using the PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methods of literature review as a guide, this study identifies, evaluates, and synthesizes peer-reviewed and localized publications that examine the application of Traditional knowledge systems to various wetland management contexts, drawing from scholarly databases and pertinent literature sources. By delving into diverse disciplines such as environmental engineering, ecology, and environmental science, the review elucidates the multifaceted ways in which indigenous wisdom informs conservation practices, fosters sustainable resource utilization, and enhances community resilience in wetland ecosystems. Moreover, it examines the challenges and opportunities associated with integrating traditional and scientific knowledge paradigms, emphasizing the need for inclusive and participatory approaches to conservation that respect cultural diversity and local knowledge systems. The results of the literature study have been compiled to highlight several traditional systems for wetland conservation. These include traditional stormwater management in wetland watersheds, resource management by local communities, the use of wetland plants in conservation, traditional fishing practices, traditional agricultural practices, and religious and cultural practices. The findings of this review contribute valuable insights to academia, policy development, and on-the-ground conservation efforts, serving as a foundation for future research and practice aimed at promoting the holistic and equitable stewardship of wetland ecosystems. This paper concludes with suggestions on using traditional knowledge systems in the conservation of wetlands in India, along with the different traditional methods that could be part and parcel of the decision-making system in this field. The results of this paper are highly significant, as they demonstrate the integration of traditional knowledge systems as a method for environmental conservation and management, specifically targeting wetland ecosystems and their biota.

Agriculture has been a vital sector for the majority of people, especially in countries like India. However, the increasing need for food production has led to intensive farming practices that have resulted in the deterioration of soil quality. This deterioration in soil quality poses significant challenges to both agricultural productivity and environmental sustainability. To address these challenges, advanced soil nutrient prediction systems that utilize machine learning and deep learning techniques are being developed. These advanced soil nutrient prediction systems utilize various sources of data, such as soil parameters, plant diseases, pests, fertilizer usage, and changes in weather patterns. By mapping and analyzing these data sources, machine learning algorithms can accurately predict the distribution of soil nutrients and other properties essential for precise agricultural practices. A previous study compared machine learning algorithms like SVM and Random Forest with deep learning algorithms CNN and LSTM for predicting crop yields. The most appropriate model is a significant challenge, but several studies have evaluated recommendation system models using deep machine learning techniques. Deep learning models attain accuracy above 90%, while many ML models achieve rates between 90% and 93%. Furthermore, the research seeks to propose specific crop suggestions grounded in soil nutrients for precision agriculture to enhance crop productivity.

This study aims to analyze the Penta helix collaboration model for involving reserve component personnel in disaster resilience in Malang Regency. A qualitative approach was used with an in-depth interview method involving nine informants from various Penta helix actors, namely academia, business, the community, government, and the Media. The main findings indicate that the Penta helix collaboration model has the potential to enhance disaster resilience in Malang Regency. Its strengths lie in inclusive participation, transparency, clear leadership, and the commitment of stakeholders. However, there are still weaknesses, such as a lack of coordination, limited resources, and suboptimal role understanding that hinder the involvement of reserve component personnel. Each actor makes significant contributions: academics provide knowledge, businesses aid in logistics, communities engage in mitigation and emergency response, the government formulates policies, and the media disseminates information. Major challenges include a lack of coordination, limited resources, miscoordination, bureaucracy, insufficient training, and unclear legal frameworks. Improvement efforts include strengthening coordination, increasing resource capacity, clarifying roles, developing guidelines, and enhancing training. In conclusion, the Penta helix collaboration model in Malang Regency has great potential but requires improvements to enhance its effectiveness, providing insights for stakeholders to strengthen disaster resilience in the region.