bluuebunny/crossref_metadata_2025 huggingface dataset:
Structural strategy for advancing nonlinear optical effects in 1D-[MX2]∞ chains: internal distortion and atomic types
Authors: Zhu Chaoyi
Published: May 2024

The presence of internal distortion and high electronegativity in M elements can greatly enhance the NLO capability of 1D-[MX2]∞ structures.
Open-source 3D printed reactors for reproducible batch and continuous-flow photon-induced chemistry: design and characterization
Authors: Masson Tom M. , Zondag Stefan D. A. , Schuurmans Jasper H. A. , Noël Timothy
Published: May 2024

From screening conditions in batch to scaling up in continuous flow, we offer photochemical systems tailored to your needs. Simply download the files and start printing!
Green and low-cost synthesis of zeolites from kaolin: a promising technology or a delusion?
Authors: Zdretsov Ivan M. , Gerasimov Andrey M.
Published: May 2024

This review demonstrates that kaolin-based synthesis of zeolites is not always as green and low-cost as it may first appear. Here, we discuss both kaolin pretreatment methods and zeolite synthesisper se.
Status of fly ash-derived sustainable nanomaterials for batteries and supercapacitors
Authors: Mushtaq Farwa , Wang Lu , Tu Haifeng , Wang Jian , Wang Yuchen , Sun Ao , Zhu Fengyi , Wang Mingchao , Zhang Yongyi , Liu Meinan
Published: May 2024

The progress in diverse carbon- and silicon-based nanomaterials prepared from various ash types are discussed and their application in supercapacitors and batteries are summarized.
Recycling spent batteries to green innovation: a CuCo-based composite as an electrocatalyst for CO2 reduction
Authors: da Cruz Jean C. , e Silva Ricardo M. , da Silva Gelson T. S. T. , Mascaro Lucia H. , Ribeiro Caue
Published: May 2024

It is proposed to transform electronic waste into electrocatalytic devices, with the aim of producing nanomaterials and reducing the carbon footprint, thus completing a full cycle of recycling and reusing materials.
The spontaneous directional transformations of the layers and chemical bonds: a study combining first-principles calculations and experiments
Authors: Zhang Liang , Xiang Yuan , Fu Xiang , Zeng Xiangyu , Liu Yang , Chen Xuegang , Liu Yulu , Wang Yixiu , Leng Yongsheng , Wang Xiaozhi
Published: May 2024

The spontaneous directional transformations of the layers and chemical bonds in chemical transformation.
Neurogenic and angiogenic poly(N-acryloylglycine)-co-(acrylamide)-co-(N-acryloyl-glutamate) hydrogel: preconditioning effect under oxidative stress and use in neuroregeneration
Authors: Wasnik Kirti , Gupta Prem Shankar , Singh Gurmeet , Maity Somedutta , Patra Sukanya , Pareek Divya , Kumar Sandeep , Rai Vipin , Prakash Ravi , Acharya Arbind , Maiti Pralay , Mukherjee Sudip , Mastai Yitzhak , Paik Pradip
Published: May 2024

[p(NAG-Ac-NAE)] mimic cellular microenviroment by facilitating neuronal stem cell migration towards the injured site via aniogenesis and induce recovery.
Tailoring pyrene excimer luminescence via controlled sulfur oxidation
Authors: Xia Zhou-An , Yao Mingming , Wang Shiyin , Yang Daojie , Wang Ziyuan , Wu Ruiya , Zhang Shi-Tong , Liu Haichao , Yang Bing
Published: May 2024

Manipulation of the oxidation degree of sulfur is carried out to synthesize sulfide-, sulfoxide- and sulfone-substituted pyrenes, fine-tune the electronic effect and stiffness of the molecules, and obtain optimal luminous efficiency of the excimers.
Deciphering intramolecular charge transfer in fluoranthene derivatives
Authors: Debnath Sanchari , Mohanty Aisworika , Naik Praveen , Salzner Ulrike , Dasgupta Jyotishman , Patil Satish
Published: May 2024

We present an intramolecular charge transfer state in fluoranthene derivatives, established using detailed spectroscopic techniques. The present work paves an avenue toward the design of fluoranthene-based chromophores for applications in optoelectronics.
Strategic Ni-doping improved electrocatalytic H2 production by Bi3O4Br in alkaline water
Authors: Pal Manodip , Biswas Rathindranath , Barman Sanmitra , Dutta Arnab
Published: May 2024

A stable, efficient, and low-cost Ni-doped Bi3O4Br electrocatalyst for improved H2 production in alkaline conditions.
Culturally Responsive Literacy Interventions in Speech-Language Pathology: A Scoping Review
Authors: Guiberson Mark
Published: May 2024

Purpose and Method:

In this study, the author employed a positivist perspective and framework, utilizing a scoping methodology to systematically explore the extant research literature in speech-language pathology pertaining to literacy interventions for children from culturally and linguistically diverse (CLD) backgrounds.

Results:

The scoping review encompassed 22 studies selected from a pool of 908 sources, uncovering 34 literacy strategies presented in an evidence map. These strategies, intended for both school-age and preschool children, were implemented across diverse populations, including Indigenous communities, dual language learners, and children with disabilities. The strategies identified offer valuable insights for intervention planning and piloting.

Conclusions:

The review underscores the significance of culturally responsive literacy interventions in fostering inclusive and supportive learning environments for CLD learners. Additionally, two illustrative case studies are presented to exemplify the application of the identified strategies and discussed in the context of implementing Universal Design for Learning principles for all students.

Supplemental Material:

https://doi.org/10.23641/asha.25864624
A chaotic time series combined prediction model for improving trend lagging
Authors: Liu Fang , Zheng Yuanfang , Chen Lizhi , Feng Yongxin
Published: May 2024

Chaotic time series prediction is a prediction method based on chaos theory, and has important theoretical and application value. At present, most prediction methods only pursue digital fitting and do not consider the directional trend. In addition, using the single model will not achieve better prediction results. Therefore, a chaotic time series combined prediction model for improving trend lagging (ITL) is proposed. An improved dual‐stage attention‐based long short‐term memory model with the improved training objective fuction is designed to solve the trend lagging problem. Then, an auto regressive moving average model with the sliding window is established to mine other characteristics of the time series except nonlinear characteristic. Finally, the idea of optimization algorithm is introduced to construct a time series combined prediction model with high accuracy based on the above two models, so as to perform the chaotic time series prediction from multiple perspectives. Multiple datasets are selected as experimental datasets, and the proposed method is compared with common prediction methods. The results show that the proposed method can achieve single‐step prediction with high accuracy and effectively improve the lagging of chaotic time series prediction. This research can provide theoretical support for the complex chaotic time series prediction.
Multi‐view synergistic enhanced fault recording data for transmission line fault classification
Authors: Jia Minghui , Huang Xiaohu , Han Fengjun , Yan Dequan , Wang Wei , Zhu Guochao , Zhang Lin , Pan Chao , Ma Haifeng , Wei Jidong
Published: May 2024

Fault recorded data has been proven to be effective for fault diagnosis of overhead transmission lines. Utilizing deep learning to mine potential fault patterns in fault recording data is an inevitable trend. However, it is usually difficult to obtain massive labeled fault recording data, which results in deep learning‐based fault diagnosis models not being adequately trained. Although data augmentation methods provide ideas for expanding the training data, existing data augmentation algorithms (e.g. random perturbation‐based augmentation) may lead to distortion of multi‐view data, that is, time domain data and frequency domain data of the fault recorded data, which results in the inconsistency of physical properties and statistical distributions of the generated data and the actual recording data, and misguides the training of the models. Hence, this study proposes a transmission line fault classification method via the multi‐view synergistic enhancement of fault recording data. The methodology proposes to start with a synergistic enhancement of multi‐view data such as time and frequency domains of fault recording data, and utilizes contrastive learning to further improve the performance of the fault classification model while ensuring that the generated data is not distorted. Experimental results on three real‐world datasets validate the effectiveness of the proposed method.
The online control method of independent DC microgrid based on virtual hydrogen consumption method
Authors: Wu Yongjun , Zhang Zhiyuan , Li Xiqin , Wang Bin , Zhu Xiaowen , Jing Yuchao , Shi Mengxiang , Liu Chaofan
Published: May 2024

With the development of distributed generation and power electronics technology, DC microgrids have made certain progress with their advantages of simple structure, economic efficiency, and easy control. Considering factors such as the geographical location of some residential areas, microgrids with fuel cells that can operate independently are also receiving increasing attention. In this paper, an online control method named virtual hydrogen consumption is proposed based on an independent DC microgrid which solves the problem of electro‐hydrogen conversion successfully. By solving the overall consumption function, the analytical solution is further obtained to realize the online control. Based on the results of RT‐LAB platform, the proposed method can maintain the output of fuel cell system in its high efficiency range with a lower volatility.
Efficient gridless 2D DOA estimation based on generalized matrix‐form atomic norm minimization
Authors: Gao Silin , Wang Muhan , Zhang Zhe , Zhang Bingchen , Wu Yirong
Published: May 2024

Two‐dimensional (2D) direction‐of‐arrival (DOA) estimation is crucial in array signal processing. Compressed sensing (CS) provides a superior alternative to spatial spectrum estimation algorithms by enabling 2D DOA estimation of correlated sources from single snapshot data. However, the grid mismatch effect inherent in grid‐based CS algorithms impacts estimation accuracy. Despite recent advancements, the state‐of‐the‐art gridless CS algorithm, decoupled atomic norm minimization, is limited to specific 2D array geometries, such as uniform rectangular arrays. This letter presents an efficient gridless 2D DOA estimation algorithm for generalized rectangular arrays, including both uniform and sparse arrays. The proposed algorithm achieves high accuracy through a novel approach called generalized matrix‐form atomic norm minimization and provides a fast solution using the alternating direction method of multipliers. Validation through computer simulations and practical experiments underscores its efficacy.
A chirplet‐based masking algorithm for smeared spectrum jamming suppression and signal separation
Authors: Wang Yifan , Li Yibing , Yu Gang , Geng Xiaoyu , Zhou Zitao
Published: May 2024

Linear frequency modulation (LFM) signal is a common radar signal in modern electronic warfare, and smeared spectrum (SMSP) can generate multiple false targets, causing jamming to radar detection. The authors propose a chirplet‐based masking algorithm that can solve the problem of SMSP jamming suppression and address a more complex problem: the separation of jamming signal and multiple LFM signals from intercepted mixed signal. First, the authors obtain matched chirp rates of the source signals through the changing tendency of the Rényi entropy. Then, the ridge of each source signal is extracted from the high‐resolution chirplet transform result using an image processing‐based algorithm. Finally, the jamming and LFM signals are accurately reconstructed through the time‐frequency mask to achieve separation. Even in the extreme case where multiple source signals with close chirp rates are overlapped, the proposed slope‐matching ridge extraction method and iterative update reconstruction method can still achieve commendable signal separation effects. Extensive experimental results demonstrate that the proposed algorithm performs well under extreme conditions of low signal‐to‐noise ratio, high jamming‐to‐signal ratio, and high sea state.
Enhancing spectrum sensing efficiency in multi‐channel cognitive device‐to‐device networks: Medium Access Control layer strategies and analysis
Authors: Khan Irfan Latif , Iqbal Adeel , Nauman Ali , Jamshed Muhammad Ali , Shakeel Atif , Hussain Riaz , Rashid Adnan , Pecorella Tommaso
Published: May 2024

The detection and characterisation of electromagnetic signals within a specific frequency range, known as spectrum sensing, plays a crucial role in Cognitive Radio Networks (CRNs). The CRNs aim to adapt their communication parameters to the surrounding radio environment, thereby improving the efficiency and utilisation of the available radio spectrum. Spectrum sensing is particularly important in device‐to‐device (D2D) communication when operating independently of the cellular network infrastructure. The Medium Access Control (MAC) protocol coordinates device communication and ensures interference‐free operation of the CRN coexisting with the primary cellular network. A spectrum sensing strategy at the MAC layer for cognitive D2D communication. The strategy focuses on reducing the overall sensing period allocated at the MAC layer by having each Cognitive D2D User (cD2DU) sense a smaller subset of available channels while maintaining the same sensing time for cellular user detection at the physical layer. To achieve this, the concept of concurrent groups of D2D devices is introduced in proximity, which are formed by using unique IDs of cD2DUs during the device discovery stage. Each concurrent group senses a specific portion of the cellular user band in a shorter time, resulting in a reduced overall sensing period. In addition to mitigating traffic congestion through data diversion from the cellular network, the proposed strategy facilitates the concurrent sensing of multiple channels by cD2DUs within the underutilised cellular user band. This leads to extended data transmission periods, increased network throughput, and effective offloading of the cellular network. The effectiveness of the proposed work is evaluated by considering factors, such as network throughput and transmission time. Simulation results confirm the effectiveness of the approach in improving spectrum utilisation and communication efficiency in multi‐channel Cognitive D2D Networks (cD2DNs).
Ammonium sulphate induces dose-dependent ammonium stress in rice seedlings
Authors: Maurya Avani , Chaudhary Tejasvita , Priya Pallavi , Sharma Vishakha , Balyan Garima , Sharma Adwithiya , Kandhol Nidhi , Tripathi Durgesh Kumar
Published: May 2024

Plants require nitrogen (N) in various forms to facilitate essential physiological functions. Nitrate (NO3-) is one of the most readily absorbed N forms by plants and is preferred in well-aerated soils because it can be easily transported within the plant. Ammonium (NH4+), on the other hand, is utilized especially in waterlogged or acidic soils, where it is directly absorbed by the roots and incorporated into amino acids. Urea (CH4N2O) is another significant N source found in many fertilizers; it is transformed into NH4+ and nitrate in the soil through microbial processes. These diverse forms of N are crucial for supporting photosynthesis, protein synthesis, and energy production in plants. The escalating use of ammonium sulphate (NH4)2SO4) as a N source in agriculture prompts a thorough examination of its impact on crop health and productivity. This study aimed to investigate the NH4+ toxicity on rice (Oryza sativa) plants by administering various dosages (0 mM, 5 mM, 7 mM, 10 mM, 12 mM, and 15 mM) and assessing their effects on plant growth parameters, particularly root-shoot lengths, root-shoot fresh biomass along with dry weight. Our research utilized a controlled experimental setup to monitor the growth responses of rice plants to these NH4+ concentrations. Results indicated a clear threshold of tolerance, with adverse effects becoming significant at concentrations starting from 7 mM. At this concentration and higher, there was a noticeable decline in root-shoot lengths, root-shoot biomass and dry biomass, marking the onset of toxicity symptoms in rice plants. These findings suggest a critical need for regulated application of (NH4)2SO4 in rice cultivation to avoid detrimental effects on plant health and yield. The study underscores the importance of establishing safe usage guidelines for (NH4)2SO4 in agriculture, ensuring sustainable farming practices while maintaining crop productivity.
Carbon nitride nano biochar imparts concentration dependent impact on finger millet growth
Authors: Sharma Vishakha , Priya Pallavi , Chaudhary Tejasvita , Maurya Avani , Balyan Garima , Sharma Adwithiya , Kumar Santosh , Kandhol Nidhi , Tripathi Durgesh Kumar
Published: May 2024

Biochar, a sustainable green technology product, is essential for promoting plant development and growth. Nano biochar emerges as a promising solution for environmental sustainability. Despite its potential, the intricate dynamics between plants and nano-biochar, particularly in finger millet (Eleusine coracana), remain largely unexplored, necessitating a deeper understanding of their interaction. This study investigates the effects of carbon nitride (C3N4) nano-biochar, derived from melamine, on finger millet. A screening setup was employed with varied concentrations of C3N4: 0 µM (control), 500 µM, 1000 µM, 1500 µM, and 2000 µM. Morphological parameters of plants includes root-shoot length, fresh and dry weights, were analysed to determine the optimal dosage. Results reveal that the most effective concentration of C3N4 for enhancing finger millet growth was found to be 1000 µM. Beyond this threshold, higher doses proved to be toxic, impeding plant growth and development. This research sheds light on the unexplored relationship between nano-biochar and plant physiology, offering insights crucial for sustainable agricultural practices.
Antifungal activity of essential oil against Botrytis cinerea in Vitis vinífera L
Authors: Maisnam Reshmi , Antuhu Yingmien L. , Muanpuii Christina V.L. , Kumari Asha , Menchero Jorge Rojas Lopez , Coloma Azucena Gonzalez , Andres Marie Fe , Kaushik Nutan
Published: May 2024

Grapes (Vitis vinífera L) is extensively cultivated and widely consumed fruit world wide But it is also very highly susceptible to fungal infections such as B cinérea which increases post-harvest losses, quality deterioration, and making it unsuitable for human consumption. This results in significant economic loss of grapes and impacts grape farmers’ profits. Therefore, there is an urgent need to identify potential methods and approaches to decrease post-harvest losses of grapes caused by B. cinérea. Currently, synthetic fungicides are used to control grape infections which has harmful impact on the environment and human health. Therefore, essential oil from plants sources could be a potential alternative to synthetic fungicides. In this study, antifungal activity of three essential oils was evaluated against B. cinérea using fumigation method. In an in vitro study, the essential oils extracted from Zingiber officinale and Saturaga montana, each at a concentration of 4mg/mL, exhibited complete inhibition (100%) of fungal growth. The physiological study of fruit in term of TSS, pH and weight loss showed that there is slow deterioration of fruit during storage. In-vivo results showed that essential oil from natural source can be potential alternative for synthetic fungicides which is ecofriendly and effective to control diseases and post-harvest losses in grapes.
Impact of bio-fertilizers on growth, yield and quality of Spinach (Spinacia oleraceaL.) in Noida UP.
Authors: Adison Rajkumar , Maisnam Guneshori , Devi Takhellambam Diparani , Kangjam Doreen
Published: May 2024

A field trial was undertaken at Amity University Noida’s experimental farm to investigate the effectiveness of microbial consortia on plant development and yield characteristics of spinach (Spinacia oleracea L.). Azotobacter, poultry manure, vermicompost, and FYM were used in various combinations throughout the treatments. The Desi (indigenous) variety was used in the field investigation. The use of biofertilizers is intended to increase crop yield and soil fertility while minimising environmental damage. The purpose of this study is to investigate the effects of various biofertilizers on the growth and yield of spinach (Spinacia oleracea L.) plants. These fertilisers include vermicompost, farmyard manure, Azotobacter, and poultry manure. The experiment was conducted out under closely monitored settings, with a randomised complete block design and three replications. Growth metrics were examined during the experiment to evaluate the vegetative growth of spinach plants, including plant height, leaf area, leaf length, and number of leaves per plant. The study’s findings demonstrated that the various treatments that were applied had a discernible impact on the growth, production, and economics of spinach. According to early data, the usage of biofertilizers considerably affected the growth and yield of spinach plants when compared to the control group. In comparison to the control, which had plant height (26.4 cm), leaves number (14), length of the leaves (15cm), leaves width (8cm), area of leaf per plant (120 cm2), and yield (4.5 Kg) the combined application of (Azotobacter + farmyard manure + poultry manure) demonstrated the highest performance on plant growth parameters such as height of the plants (35.4cm), leaves number per plant (16.7cm), leaves length (22cm), leaves width (12cm), and leaf area per plant (264 cm2). Furthermore, as seen by higher nutrient levels and organic matter content, the application of biofertilizers significantly improved soil fertility. This research present to the growing body of valuable information on sustainable farming practices by elucidating the efficacy of biofertilizers in enhancing the spinach growth and yield. The findings highlight how important it is to incorporate biofertilizers into agricultural practices to enhance soil health, reduce adverse environmental effects, and ensure the production of food sustainably.
Potential role of post-harvest management in agribusiness
Authors: Aier Jongtosang , Panda Kusuma Kumari , Siddiqui Nahid , Paul Debarati
Published: May 2024

Agriculture plays a key role in deciding the economy of the country and agricultural marketing has become the potential driver of the agricultural sector. Green revolution and succeeding technologies made our farmers to succeed in the production front, but lagging appreciably in terms of price realization owing to their inability to stop post-harvest losses and inaccessibility to efficient and scientific marketing system. Post-harvest management includes storage, packaging, coating, disease management, extended shelf life, maintaining food quality. Foods and other products can be preserved by storage at low temperature, which retards the activities of microorganisms and preserve perishable foods in their natural state. Preservation depends on the storage time required whether short or long-term short and the type of product. A cold storage unit works on two principles: Vapour absorption system (VAS), and Vapour compression system (VCS). Although VAS is a bit costlier, but economical in operation. Food irradiation is another recent food preservation technology to address some of post-harvest losses. Food is exposed to ionizing radiation (i.e. radiowaves, microwaves, UV rays, X-rays, gamma rays etc.). Food irradiation can be applied to specific purposes as quarantine treatment of fruits and vegetables and as a method to ensure hygienic quality of foods. Food processing techniques like grading, sorting and packaging, etc add value and enhances shelf life of food. Agricultural productivity augmentation needs a concurrent development of post-harvest support mechanism and efficient and organized marketing system, which would ensure maximum price rrealization to the farmers.
Evaluation of a new process for extracting essential oil from aromatic, medicinal, and pharmaceutical plants
Authors: El Ahmadi Kawthar , Haboubi Khadija , El Abdouni Aouatif , El Alaoui Hasnae , Dira Imane , El Bastrioui Mohamed , Dimane Fouad , El Hammoudani Yahya
Published: May 2024

The process of supercritical CO2 extraction of aromatic and medicinal plants represents a revolutionary advancement in the field of natural compound extraction. By harnessing the unique properties of carbon dioxide in its supercritical state. This review critically evaluates the supercritical CO2 extraction process for aromatic and medicinal plants, aiming to assess its efficiency, selectivity, and environmental impact thoroughly. By meticulously analysing its potential as an innovative solution in the industry, the study delves into the technique’s capacity to generate high-quality extracts while significantly reducing the ecological footprint associated with traditional extraction methods. Supercritical CO2 extraction represents a substantial advancement in natural compound extraction, offering unparalleled precision and purity. By circumventing the use of harmful solvents commonly employed in conventional methods, it presents a sustainable alternative for the extraction of valuable compounds from aromatic and medicinal plants. This environmentally conscious approach aligns with the growing demand for eco-friendly practices within the industry, providing a promising avenue for sustainable resource utilization. Through a comprehensive examination of its benefits and limitations, this review seeks to contribute to a deeper understanding of supercritical CO2 extraction’s role in shaping the future of the aromatic and medicinal plant sector. By shedding light on its potential applications and implications, this study aims to inform decision-makers and researchers alike about the transformative potential of this innovative extraction technique.
A comparative study of the saproxylic diversity of a natural and a reforested forest in Morocco: Implications for conservation and ecosystem management
Authors: Elaine Imad , Benyahia Yousra , Taheri Ahmed
Published: May 2024

Moroccan forest ecosystems are rich in biodiversity. However, they are threatened by deforestation. To reduce this, the country has adopted plans involving reforestation. This study compares the diversity of saproxylic litter beetles in two forests in the province of El Jadida, Morocco: the natural Haouzia matorral and the reforested Chiadma forest. The Winkler method and Tullgren funnel were used to assess saproxylic beetles, which serve as bioindicators to evaluate the effectiveness of reforestation efforts. A total of 160 specimens were sampled in the natural forest, symmetrically and concentratedly distributed, with 3% being saproxylic. In the natural bushes, anthropogenic activities have caused a low percentage of species richness. Conversely, the reforested forest has a similar abundance and richness, with 85 specimens and 7% saproxylic. However, the distribution of specimens in the reforested forest is less symmetrical and concentrated than in the natural forest. The differences in species richness are attributed to the different systems present at each site. The natural scrub has an endemism rate of 33%, which is higher than that of Chiadma (13%). These results highlight the significance of management, planning, and protection efforts to conserve these natural ecosystems, which are a national heritage.
Ethnobotanical survey of medicinal plants used in cosmetics in Ketama (North of Morocco)
Authors: El-Mernissi Yahya , Zouhri Aziz , Labhar Amina , El-Mernissi Rafik , El menyiy Naoual , Ahari M’hamed , El Barkany Soufian , Salhi Amin , Hajji Lhoussain , Amhamdi Hassan
Published: May 2024

Medicinal plants serve as a significant source of bioactive molecules, with their utilization in the medical realm dating back to ancient times through herbal preparations. In Morocco, the utilization of plants remains integral to traditional medicine. Despite numerous studies documenting indigenous knowledge regarding plant use, scant attention has been given to northern Morocco, particularly the Rif region. This study seeks to enrich and consolidate our understanding of plant utilization in this area. The ethnobotanical investigation was centred on medicinal plants employed in cosmetics within northern Morocco. A questionnaire was disseminated, gathering data encompassing plant names, utilized plant parts, and preparation methods. The study identified 32 plant species utilized in cosmetics, including Cannabis sativa L., Dittrichia viscosa (L.) Greuter, Juglans regia L., and Rubus fruticosus L. Leaves emerged as the most used plant parts, with decoction and infusion being the predominant preparation methods. This survey facilitated a comprehensive examination of ethnobotanical knowledge, shedding light on the primary plants employed in cosmetics. Prudent management of these resources is imperative to prevent future shortages.
Synthesis and Medicinal Applications of Imidazopyridine and Imidazothiazole Derivatives: A Review
Authors: Hamdi Abdeljalil , Elyoussfi Chaimae , Ahari M’hamed , Amhamdi Hassan , Aarab Saida , Salhi Amin , Elyoussfi Abdellah , El aatiaoui Abdelmalik
Published: May 2024

Imidazopyridine and its derivatives are essential heterocycles widely utilized in medicinal chemistry, natural products, and synthetic chemicals. The unique structural characteristics of the imidazopyridine ring facilitate their interaction with various enzymes and receptors through weak interactions, leading to a wide range of biological and pharmacological effects. Many imidazole derivatives are extensively used in clinical practice to treat various diseases, highlighting their significant potential for further research. This review provides a comprehensive synthesis of current research on imidazopyridine or imidazopyridine derivatives in medicinal chemistry, focusing on their roles as anti-inflammatory, anticancer, antiviral, antibacterial, and other therapeutic agents.
Chemical composition, organoleptic, physicochemical, and antibacterial properties of three plants of the lamiaceae family on Escherichia Coli strains
Authors: Jaber Hassna , Fikraoui Nabil , Zaazoui Nouhaila , Bourkhiss Brahim , Ouhssine Mohammed
Published: May 2024

This study aimed to identify biological control methods for contaminated poultry products and the antibiotic resistance associated with the antibiotics used in poultry farming, which are responsible for toxin infections and therapeutic failures in public health. The antibacterial activity of essential oils of Thymus vulgaris, Ocimum basilicum, and Mentha pulegium was tested on 78 strains of Escherichia coli isolated from turkey meat marketed at the point of sale. The essential oils were obtained by hydro-distillation, and their organoleptic quality and physicochemical characteristics were assessed following the standard. Their liquid and mobile appearance characterizes essential oils. The three essential oils studied presented different values for the four physicochemical properties. The antibacterial effect of those essential oils was done on Escherichia coli strains using the direct contact technique on agar. The essential oils showed remarkable antibacterial activities with an inhibition diameter ranging from 10.60 to 21.4 mm compared to the positive control (gentamicin) which is used as a preventive, or curative agent in poultry farming. Moreover, MIC and CMB values are equal, with a CMB/CMI ratio equal to 1, making these essential oils bactericidal. These results lead us to conclude that aromatic and medicinal plant EOs can provide a valid alternative to antibiotic and preservative agents in the fight against toxin infections of foodstuffs of animal origin.
Performance evaluation of Machine Learning algorithms for LULC classification: A case study of Fez-Meknes region
Authors: Khaldi Loubna , Elabed Alae , El Khanchoufi Abdessalam
Published: May 2024

Significant advancements have been made in remote sensing technologies, with increasingly refined applications in creating LULC maps. The integration of Machine Learning-based approaches has been explored to develop LULC maps with varying levels of precision, leveraging diverse satellite imagery. However, the task of producing LULC maps for extensive areas like the Fez-Meknes region, covering an area of approximately 40,075 km2, can be challenging using traditional methodologies. Thus, this study prioritized the major objective of establishing a reference for extracting LULC information. This endeavour involves the comparative assessment of the performance of different LULC classification approaches: Recursive Partitioning (Rpart), k-nearest neighbors (KNN), random forest (RF), Linear Discriminant Analysis (LDA), support vector machine (SVM), and extreme gradient boosting (XGBoost). For map production, remote sensing data and a supervised classification algorithm based on LANDSAT images of the Fez-Meknes region were employed. The accuracy of the generated maps was assessed using overall accuracy and Kappa coefficient. This methodology holds the potential to be replicated in other regions, utilizing a variety of available remote sensing satellite images to generate LULC maps. Essentially, the approach proposed in this study will be a valuable tool for planners, facilitating the acquisition of LULC maps at various time intervals. This will facilitate the classification of land cover types in a faster and more cost-effective manner.
Water stress effect on the quality and quantity of lemongrass essential oils in glass greenhouses: Juvenile and adult stages
Authors: Chetouani Mohammed , Chetouani Meriem , Arabi Mourad , Bidi Hanane , Hassani Yacine
Published: May 2024

The detrimental effects of water stress on the survival and productivity of many medicinal and aromatic crops of pharmacological interest are becoming increasingly important given the socioeconomic issues involved. The scarcity of precipitation and its irregularity endanger the life and productivity of certain medicinal plants of pharmaceutical interest with high economic value. Indeed, the biosynthesis of essential oils is influenced by various environmental factors, namely, an increase in the intensity of water stress. This natural constraint could have a positive impact on the synthesis of essential oils as well as on their chemical composition. In this article, we propose the study of the impact of this abiotic constraint on the quality and quantity of essential oils at the juvenile and adult stages of lemongrass, known for its therapeutic effects, by gas chromatography (GC). This study revealed a reduction in the yield of essential oil from citronella depending on the increase in the intensity of water stress at the juvenile and adult stages, except at the adult stage for severe drying, with a significant increase in the αcitral of 27% for the moderate treatment for adult lemongrass, and the increase in the βcitral increased by 37% for the severe treatment for adult lemongrass compared to the controls.
From Antiquity to the Present: A Perpetually Evolving History of Green Spaces
Authors: Chkird Fadoua , Kouddane Nour-Eddine , Azizi Salah-Eddine , Boukroute Azzouz , Berrichi Abdelbasset
Published: May 2024

The evolution of green spaces throughout history originated in the ancient world and extended through different eras. In this respect, this study aims to explore this historical evolution in detail, focusing on the temporal and geographical setting of the descriptions. This is made possible by a bibliographical search ensuring the fundamental elements and key references for analysing and understanding the changes in this green infrastructure across historical periods, despite the limited availability of information. As a result, ancient gardens were developed as spaces suitable for meditation, establishing the first harmonization between mankind and nature. The analysis continues with a particular focus on Renaissance gardens, marked by innovative aesthetics and a new interest in symmetry and order. The Baroque period is characterized by splendid and spectacular gardens, reflecting the scale of royal castles and palaces. The transition to landscape gardens reveals a more natural, romantic perspective, highlighting the natural perfection of the landscape. The study also looks at contemporary developments, where gardens are becoming multipurpose spaces that integrate ecological, artistic and wellness aspects. The history of green spaces has emerged as a rich and detailed chronicle, illustrating cultural, social and aesthetic developments over the centuries. This chronological journey highlights the influence of artistic perspectives and styles on the design and perception of green spaces, underlining their key role as a representation of the evolution of the human spirit and the human-nature interrelationship.
The intercropping of different varieties of tomato (Solanum Lycopersicum L.) with maize (Zea mays L.) and its role in tolerance to drought and salinity
Authors: Choukri Rana , Faize Mohamed , Rahou Abbderrahmane , Riouchi Ouassila , Ferdouch Mohammed , Makrani Hani , Rodríguez-Concepción Manuel , Skalli Ali , Baghour Mourad
Published: May 2024

Climate change will lead to an increase in the frequency and severity of abiotic stresses, such as drought and salinity, transforming them into major factors of food insecurity. This is of particular concern in arid and semi-arid regions, where soil salinity and water scarcity represent a significant threat to agriculture. This is why exploring agricultural techniques to improve production is essential. Intercropping, a method that has demonstrated its effectiveness against a variety of biotic and abiotic stresses, is of particular interest. In this study, we examined the impact of intercropping three tomato varieties (Jade, Blancato, and Karima) with maize on the resistance of these plants to water and salt stresses. Plant growth parameters such as yield and plant biomass, as well as biochemical parameters such as pH, total proteins, chlorophyll, and water content, were evaluated in these tomato varieties. The results indicate that intercropping had a positive effect on tolerance to abiotic stresses such as drought and salinity by improving physiological and biochemical parameters studied here specially in terms of yield (in terms of yield V. Karima showed the most important results). This paves the way for further research, particularly by geneticists and agronomists seeking to develop varieties adapted to intercropping to ensure the sustainability of this technique.
Adsorption-based removal of amoxicillin from aqueous environments: A mini review
Authors: Fraiha Oumaima , Zaki Najlae , Hadoudi Nouhaila , Salhi Amin , ElYoussfi Abdellah , Amhamdi Hassan , Ahari M’hamed
Published: May 2024

Amoxicillin’s prevalence in aquatic environments, stemming from widespread medical usage, serves as a significant indicator of pharmaceutical contamination. Adsorption stands out as the preferred method for addressing this issue due to its simplicity, efficacy, practicality, and cost-effectiveness. This systematic review delves into peer-reviewed literature on amoxicillin removal through adsorption, drawing from databases like ScienceDirect and Scopus. Researchers have investigated adsorption equilibrium under varied conditions, exploring parameters such as pH, temperature, and adsorbent dosage. The diverse range of observed elimination levels underscores the critical importance of careful adsorbent selection, with capacities spanning from 10 to 1500 mg/g. Pseudo-second-order kinetic models and the Langmuir isotherm model frequently offer suitable descriptions of experimental data. Future research avenues could explore alternative kinetic models to deepen our understanding of amoxicillin adsorption mechanisms and foster the development of innovative adsorbents.
Study the effect of injection pressure of a mixture of diesel fuel and vegetable oil on exhaust emissions of diesel engines by simulation
Authors: Trung Pham Dinh , Nghia Mai Duc , Tuan Ho Duc
Published: May 2024

Biofuels are interested in using alternative fuel in diesel engines because those are friendly to the environment and can be recycled. However, characteristics of chemical and physical differences compared to diesel fuel. While using the fuel injection system of an engine must be adjusted. Computational Fluid Dynamics KIVA-3V software allows simulation of the working cycle of the engine with injection pressure effect. This paper presents the results of a simulation study of B15 biofuel used on the 4CHE Yanmar diesel engine, and the fuel injection pressure was adjusted at 210, 220, 230, and 240 bar within the limits of high-pressure pump adjustment. The results showed that the soot emissions of the engine were lowest at 230 bars.
Effect of exercise intensity on sleep quality among school adolescents in the Provincial Directorate of Meknes-Morocco: Sports and Health
Authors: El Oirdi Hamid , Boujdi Rachid , El Kabbaoui Mohamed , Eloirdi Aziz , Akhittouch Anass , El Kharrim Khadija
Published: May 2024

Physical activity levels and sleep quality are two crucial aspects that can significantly influence overall health. Research has established a significant relationship between these two aspects. A group of 300 high school students (120 boys and 180 girls) enrolled in schools in the province of Meknes during 2021 was randomly selected. A validated self-report questionnaire was used to assess the intensity of physical activity and sleep duration among participants. This study revealed a positive correlation between the intensity of physical activity and sleep duration. An intense physical activity level was significantly positively associated with sleep duration. This study revealed a positive correlation between physical activity levels and sleep duration. These findings suggest that increasing physical activity may improve sleep quality. However, it is important to consider other factors to enhance overall sleep quality.
Addressing climate-induced migration: Challenges and opportunities in EU’s legal and policy framework
Authors: Sri Avani Sathya Karampudi , Aditya R. , Raam G.K. Pranesh , Govindrao Deshpande Ashish
Published: May 2024

Climate change has emerged as one of the most pressing, unresolved concerns in the 21st century, which as of the moment still lacks a definite resolution. Whilst the ecological threats do exist well within the public consciousness, a new foe has been born as the result of the same: the issue of climate-induced migration. The adverse effects of climate change, be it droughts or flooding, have left several communities all over the world scrambling to abandon the very place they call home. The victims are left to embark on a search for safer and more habitable environments to begin their lives anew. This has given rise to an increasing humanitarian crisis, but not due to war, persecution, or political instability; but due to ever-worsening ecological concerns which the entire planet is increasingly reeling from. Valuable support efforts by the international community non-withstanding, these “climate migrants”, still lack the necessary legal status and comprehensive protection within the current legal framework of the European Union (EU). Their efforts to gain asylum are being thwarted by a legal system, which as of now, is woefully under-equipped to handle the same. The study attempts to expand the conversation in this regard, by conducting doctrinal research on the present gaps in the existing international and new EU legal frameworks related to asylum and refugees. With the help of case studies in the Asia-Pacific region, the paper critically assesses the same, contributing valuable insights to the ongoing discourse on climate-induced migration and advocating for a more inclusive and adaptive legal framework to ensure the protection of the rights of climate migrants.
Replacing fly ash with a natural pozzolan in normal strength concrete and ultra-high performance concrete
Authors: Mousavinezhad Seyedsaleh , Newtson Craig M.
Published: May 2024

Fly ash is a widely-used supplementary cementitious material (SCM) in concrete. Common reasons for using fly ash in normal strength concrete (NSC) are to reduce cement consumption and mitigate alkali-silica reaction. Additionally, fly ash is being used in ultra-high performance concrete (UHPC) to reduce use of silica fume which is more expensive than fly ash. Fly ash and silica fume are important SCMs in UHPC that provide a dense microstructure, improving UHPC strength and durability. However, fly ash is becoming less available because the energy industry has been investing in renewable energy production and removing coal burning power plants from operation. Therefore, there is a need to identify sustainable SCMs to replace fly ash in NSC and UHPC mixtures. Natural pozzolans are a diverse class of siliceous or siliceous and aluminous materials that can form compounds possessing cementitious properties in the presence of water. Since natural pozzolans are easily mined, they are usually considered to be more sustainable than Portland cement and nearly as sustainable as other SCMs such as fly ash and silica fume. This experimental study evaluated the effects of a natural pozzolan (pumicite) as a potential replacement for fly ash that can produce comparable rheological and mechanical properties in NSC and UHPC mixtures. Results indicated that workability of both NSC and UHPC mixtures containing pumicite was consistent enough to achieve the targeted workability in just a few trials. Additionally, NSC mixtures with 30% pumicite had comparable compressive strength compared to NSC mixtures with 30% fly ash. Modulus of rupture (MOR) for NSC mixtures containing 30% pumicite (greater than 4.10 MPa) exceeded the MOR for specimens containing 30% fly ash. For UHPC mixtures, results showed that up to 75% of the fly ash in the control mixture could be replaced with pumicite while still producing acceptable compressive and flexural strengths. Based on these results, it appears that pumicite can be a reliable alternative for fly ash in NSC and UHPC mixtures in terms of rheological and mechanical properties.
Influence of fines less than 0.125 mm on abrasion resistance of concrete
Authors: Juradin Sandra , Babić Marija
Published: May 2024

Abrasion resistance is very important in concrete intended for making roads, canals, floors or pavements and it can be defined as the ability of a surface to resist wear due to rubbing. It is tested by grinding the specimen according to the standard procedure and the measurements are done through volumetric loss of the specimen. Abrasion resistance is influenced by many factors such as the type of aggregate, placement, concrete composition, etc. It is desirable that the concrete contains less cement matrix and that this cement matrix achieves as much strength as possible. Cement matrix achieves the highest strength if it consists of a binder without or with small amount of very fine aggregate particles. The purpose of this paper is to examine the influence of these particles on abrasion resistance and compressive strength of concrete. Six concrete mixes were made, which differ in the granulometric composition of the aggregates and the origin of the aggregates. Same type and quantity of the cement and superplasticizer were used in all mixtures with the same water/cement ratio. The workability of the concrete was tested using the slump method. The ultrasound pulse velocity (UPV), density, dynamic modulus of elasticity, compressive strength and abrasion resistance were tested after 28 days of specimens curing. The measured UPV are within the limits of 3989.36 to 4128.44 m/s, which indicates a good quality of concrete. Compressive strengths ranging from 61.6 to 95.6 MPa were achieved. Abrasion resistance was determined by the loss of volume of the specimen in cm3 in an area of 50 cm2, and values from 21.6 to 27.3 cm3/50 cm2 were measured. According to the test results, no harmful effect of very fine aggregate particles on the abrasion resistance of concrete was observed in this investigation. Also, the positive effect of quartz sand on abrasion resistance was confirmed.