bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of aging on neutrophil functions and the contribution to periodontitis
Authors: Wang Zi , Saxena Anish , Yan Wenbo , Uriarte Silvia M. , Siqueira Rafael , Li Xin
Published: January 2025

The increasing aging population and aging-associated diseases have become a global issue for decades. People over 65 show an increased prevalence and greater severity of periodontitis, which poses threats to overall health. Studies have demonstrated a significant association between aging and the dysfunction of neutrophils, critical cells in the early stages of periodontitis, and their crosstalk with macrophages and T and B lymphocytes to establish the periodontal lesion. Neutrophils differentiate and mature in the bone marrow before entering the circulation; during an infection, they are recruited to infected tissues guided by the signal from chemokines and cytokines to eliminate invading pathogens. Neutrophils are crucial in maintaining a balanced response between host and microbes to prevent periodontal diseases in periodontal tissues. The impacts of aging on neutrophils’ chemotaxis, anti-microbial function, cell activation, and lifespan result in impaired neutrophil functions and excessive neutrophil activation, which could influence periodontitis course. We summarize the roles of neutrophils in periodontal diseases and the aging-related impacts on neutrophil functional responses. We also explore the underlying mechanisms that can contribute to periodontitis manifestation in aging. This review could help us better understand the pathogenesis of periodontitis, which could offer novel therapeutic targets for periodontitis.
Ultra-sensitive fluorescence-activated droplet single-cell sorting based on Tetramer-HCR-EvaGreen amplification
Authors: Chen Long , Xu Yi , Zhou Lele , Ma Ding , Zhang Rong , Liu Yifan , Mi Xianqiang
Published: January 2025

The current single-cell analysis technologies such as fluorescence-activated cell sorting (FACS) and fluorescence-activated droplet sorting (FADS) could decipher the cellular heterogeneity but were constrained by low sorting performance and cell viability. Here, an ultra-sensitive single-cell sorting platform has been developed by integrating the FADS technology with Tetramer-HCR-EvaGreen (THE) fluorescence signal amplification. The THE system produced much higher fluorescence signal than that of the single Tetramer or Tetramer-HCR signal amplification. Upon application to target MCF-7 cells, the platform exhibited high efficacy and selectivity while maintaining more than 95% cell viability. The THE-FADS achieved sorting efficiencies of 55.5% and 50.3% with purities of 91% and 85% for MCF-7 cells in PBS solutions and simulated serum samples, respectively. The sorted MCF-7 cells showed similar proliferation together with CK19 and EGFR mRNA expression compared with the control cells. The established THE-FADS showed the promising prospects to cellular heterogeneity understanding and personalized medicine.
GILT stabilizes cofilin to promote the metastasis of prostate cancer
Authors: Han Dunsheng , Wu Zhiming , Zhang Cong , Wei Ziwei , Chao Fan , Xie Xuefeng , Liu Jinke , Song Yufeng , Song Xiaoming , Shao Dingchang , Wang Shiyu , Xu Guoxiong , Chen Gang
Published: January 2025

Gamma-interferon-induced lysosomal thiol reductase (GILT), known for catalyzing disulfide bond reduction, is involved in various physiological processes. While the involvement of GILT in the development of various tumors has been demonstrated, the mechanisms underlying its regulation in prostate cancer (PCa) are not fully understood. In the present study, we confirmed that GILT was significantly upregulated in PCa and facilitated tumor metastasis. Mechanistically, GILT stabilized the cofilin protein by competitively binding to cofilin with Src family tyrosine kinase (SRC), inhibiting SRC-mediated tyrosine phosphorylation of cofilin, thereby suppressing the ubiquitination pathway degradation of cofilin. GILT overexpression stabilized and increased the protein level of cofilin in PCa cells and promoted the metastasis of PCa cells by accelerating actin dynamics through cofilin-mediated actin severing. Our findings reveal a novel mechanism of GILT in PCa and provide a new potential target for the diagnosis and treatment of PCa patients.
Polar mesospheric ozone loss initiates downward coupling of solar signal in the Northern Hemisphere
Authors: Seppälä Annika , Kalakoski Niilo , Verronen Pekka T. , Marsh Daniel R. , Karpechko Alexey Yu. , Szelag Monika E.
Published: January 2025

Solar driven energetic particle precipitation (EPP) is an important factor in polar atmospheric ozone balance and has been linked to ground-level regional climate variability. However, the linking mechanism has remained ambiguous. The observed and simulated ground-level changes start well before the processes from the main candidate, the so-called EPP-indirect effect, would start. Here we show that initial reduction of polar mesospheric ozone and the resulting change in atmospheric heating rapidly couples to dynamics, transferring the signal downwards, shifting the tropospheric jet polewards. This pathway is not constrained to the polar vortex. Rather, a subtropical route initiated by a changing wind shear plays a key role. Our results show that the signal propagates downwards in timescales consistent with observed tropospheric level climatic changes linked to EPP. This pathway, from mesospheric ozone to regional climate, is independent of the EPP-indirect effect, and solves the long-standing mechanism problem for EPP effects on climate.
Nanopore sequencing reveals that DNA replication compartmentalisation dictates genome stability and instability in Trypanosoma brucei
Authors: Krasiļņikova Marija , Marques Catarina A. , Briggs Emma M. , Lapsley Craig , Hamilton Graham , Beraldi Dario , Crouch Kathryn , McCulloch Richard
Published: January 2025

The Trypanosoma brucei genome is structurally complex. Eleven megabase-sized chromosomes each comprise a transcribed core flanked by silent subtelomeres, housing thousands of Variant Surface Glycoprotein (VSG) genes. Additionally, hundreds of sub-megabase chromosomes contain 177 bp repeats of unknown function, and VSG transcription sites localise to many telomeres. DNA replication dynamics have only been described in the megabase chromosome cores, and in the single active VSG transcription site. Using a Nanopore genome assembly, we show that megabase chromosome subtelomeres display a paucity of replication initiation events relative to the core, correlating with increased instability. In addition, replication of the active VSG transcription site is shown to originate from the telomere, likely causing targeted VSG recombination. Lastly, we provide evidence that the 177 bp repeats act as conserved DNA replication origins, explaining submegabase chromosome stability. Compartmentalized DNA replication therefore explains how T. brucei balances stable genome transmission with localised instability driving immune evasion.
A CD26+ tendon stem progenitor cell population contributes to tendon repair and heterotopic ossification
Authors: Chen Siwen , Lin Yingxin , Yang Hao , Li Zihao , Li Sifang , Chen Dongying , Hao Wenjun , Zhang Shuai , Chao Hua , Zhang Jingyu , Wang Jianru , Li Zemin , Li Xiang , Zhan Zhongping , Liu Hui
Published: January 2025

Inadequate tendon healing and heterotopic bone formation result in substantial pain and disability, yet the specific cells responsible for tendon healing remain uncertain. Here we identify a CD26+ tendon stem/progenitor cells residing in peritendon, which constitutes a primitive stem cell population with self-renewal and multipotent differentiation potentials. CD26+ tendon stem/progenitor cells migrate into the tendon midsubstance and differentiation into tenocytes during tendon healing, while ablation of these cells led to insufficient tendon healing. Additionally, CD26+ tendon stem/progenitor cells contribute to heterotopic ossification and Tenascin-C-Hippo signaling is involved in this process. Targeting Tenascin-C significantly suppresses chondrogenesis of CD26+ tendon stem/progenitor cells and subsequent heterotopic ossification. Our findings provide insights into the identification of tendon stem/progenitor cells and illustrate the essential role of CD26+ tendon stem/progenitor cells in tendon healing and heterotopic bone formation.
A human oral commensal-mediated protection against Sjögren’s syndrome with maintenance of T cell immune homeostasis and improved oral microbiota
Authors: Tseng Yu-Chao , Liao Kai-Sheng , Lin Wei-ting , Li Chin , Chang Chia-Bin , Hsu Jie-Wei , Chan Chin-Pui , Chen Chun-Ming , Wang Hon-Pin , Chien Hsiu-Chuan , Wang Jann-Tay , Hsieh Song-Chou , Wu Shu-Fen
Published: January 2025

Sjögren’s syndrome (SS) is a prevalent systemic autoimmune disease with substantial impacts on women’s health worldwide. Although oral Haemophilus parainfluenzae is reduced in SS, its significance remains unclear. This study aimed to elucidate the pathophysiological role of H. parainfluenzae in SS. Reduced salivary H. parainfluenzae levels in SS patients were confirmed through quantitative PCR. Oral H. parainfluenzae inoculation in NOD mice alleviated focal sialadenitis, improved salivary function, and reduced IFN-γ+CD3+ and IFN-γ+CD8+ T cells in salivary gland-draining lymph nodes, maintaining immune homeostasis against a biased type 1 response. Inoculation also enhanced salivary microbiota diversity, balanced the Firmicutes-to-Proteobacteria ratio, and reduced the overwhelming presence of Pseudomonas mendocina. In vitro, H. parainfluenzae-preconditioned A253 cells limited CD8 T cell expansion with reduced IFN-γ production. These findings suggest that H. parainfluenzae improves oral microbial diversity, promotes homeostatic T-cell immunity, and protects against SS, supporting its potential as a next-generation probiotic.
RED light promotes flavonoid and phenolic accumulation in Cichorium spp. callus culture as anti-candida agent
Authors: Abdelhamid Sayeda Abdelrazek , Marzouk Alaa I. , Asker Mohsen S. , El Shabrawi Hattem M.
Published: January 2025

Chicory species, particularly Cichorium endive Supp. Pumillum, also, known as Egyptian chicory, are globally recognized for their rich content of bioactive secondary metabolites such as flavonoids and phenolics. These metabolites are highly valued for their pharmaceutical, dietary, and commercial applications. Light exposure, particularly through red and blue wavelengths, is a potent natural elicitor that influences the biosynthesis of secondary metabolites and impacts plant morphology. This study investigates the effects of red and blue LED light exposure on the callus culture of Egyptian chicory (Cichorium endive Supp. Pumillum), with the aim of enhancing flavonoid accumulation for potential use as an anti-Candida agent. Callus cultures of Cichorium intybus, Cichorium endive Supp. Pumillum, and Taraxacum officinale (Italian chicory) were grown on MS media supplemented with 4 mg/L 2iP and 0.5 mg/L NAA for 4 weeks. The cultures were then exposed to 12 days of red and blue LED light. After extraction using liquid nitrogen and methanol, the resulting callus extracts were tested against Candida albicans NRRL477 at various concentrations (1/8, 1/4, and 1/2 MIC) for 20 to 120 min. The antifungal activity was assessed by determining the effects on acid-soluble phosphorus, total lipids, and soluble proteins in the Candida cells. Our results demonstrate that the red LED light-exposed Cichorium endive Supp. Pumillum callus extract exhibited the most potent antifungal activity, significantly inhibiting the growth of Candida species compared to blue light and control treatments. Notably, the red light-treated callus culture accumulated higher concentrations of flavonoids and phenolic compounds, which contributed to its effectiveness as an anti-Candida agent. These findings suggest that LED red light elicitation is an effective method for enhancing the production of bioactive compounds in Egyptian chicory, offering potential for its use in natural antifungal therapies. Future research will explore the mechanistic pathways of flavonoid accumulation under different light conditions and investigate the broader applications of this elicitation technique for other medicinal plants.
Treatment of patients with tumor/treatment-related hypothalamic obesity in the first two years following surgical treatment or radiotherapy
Authors: Müller Hermann L. , Witte Julian , Surmann Bastian , Batram Manuel , Braegelmann Kylie , Flume Mathias , Beckhaus Julia , Touchot Nicolas , Friedrich Carsten
Published: January 2025

Survivors of sellar/suprasellar tumors involving hypothalamic structures face a risk of impaired quality of life, including tumor- and/or treatment-related hypothalamic obesity (TTR-HO) defined as abnormal weight gain resulting in severe persistent obesity due to physical, tumor- and/or treatment related damage of the hypothalamus. We analyze German claims data to better understand treatment pathways for patients living TTR-HO during the two years following the index surgical treatment. A database algorithm identified patients with TTR-HO in a representative German payer claims database between 2010 and 2021 (n = 5.42 million patients). Claims from 37 patients with TTR-HO were analyzed on a quarterly basis over 2 years. The analysis considered inpatient, outpatient, and prescription data. In the follow-up period, patients with TTR-HO are hospitalized 3.68 times on average; 37% of hospitalizations in year 1 and 31% in year 2 are due to TTR-HO. On average, patients see a general practitioner 12.27 times and various specialists 20.45 times. The need for complex neuroendocrine therapy develops quickly, with most patients having 2–3 neuroendocrine prescriptions in any given quarter. The management of patients with TTR-HO requires frequent inpatient and outpatient visits for tumor follow-up and management of incident comorbidities, and most patients with TTR-HO require intense polytherapy.
Artemisia capillaris with two novel active compounds, Kawarayomogin I and II, inhibits HYBID (KIAA1199) expression as well as hyaluronic acid degradation
Authors: Biswas Kazal Boron , Kawai Yuka , Nakagawa Satoshi , Kanai Kyoko , Kojima Hiroyuki , Masutani Teruaki , Oyama Masayoshi , Iddamalgoda Arunasiri , Sakamoto Kotaro
Published: January 2025

Hyaluronic acid (HA) is an important component of the skin’s extracellular matrix, and its degradation leads to wrinkles. Hyaluronan-binding protein involved in hyaluronan depolymerization (HYBID) is the main factor responsible for HA degradation in dermis. This study aimed to identify natural plant materials that can effectively suppress HYBID expression and protect HA from degradation. Screening of various plant extracts was performed for the inhibition of histamine-induced mRNA expression of HYBID in normal human dermal fibroblasts (NHDF). The molecular size distribution of HA was evaluated by incubating fluorescein isothiocyanate (FITC)-labeled large HA (1200–1600 kDa) in NHDF for certain time followed by measuring different sizes of FITC-labeled HA in the cultured medium by HPLC. Among 380 plant extracts, we found that Artemisia capillaris flower extract (ACFE) was the most effective agent in both suppressing HYBID expression as well as protecting large HA from degradation. Subsequent mechanism elucidation studies showed that ACFE epigenetically regulates the expression of HYBID by modulating the expression of a specific miRNA, miR-486-5p, which is known to directly target and inhibit HYBID expression. Our active compound search identified 1-caffeoyl-3-hydroxybutane and 3-caffeoyl-1-hydroxybutane in ACFE as new compounds, which we named Kawarayomogin I and Kawarayomogin II, respectively. This is the first report to show that Artemisia capillaris with two novel active compounds inhibits HYBID expression as well as hyaluronic acid degradation, and therefore, could be used as possible agent for cosmeceutical potential.
Direct observation of small molecule activator binding to single PR65 protein
Authors: Yang-Schulz Annie , Zacharopoulou Maria , Yilmaz Sema Zeynep , Banerjee Anupam , Saha Satyaki , Nietlispach Daniel , Ohlmeyer Michael , Gur Mert , Itzhaki Laura S. , Bahar Ivet , Gordon Reuven
Published: January 2025

The reactivation of heterotrimeric protein phosphatase 2A (PP2A) through small molecule activators is of interest to therapeutic intervention due to its dysregulation, which is linked to chronic conditions. This study focuses on the PP2A scaffold subunit PR65 and a small molecule activator, ATUX-8385, designed to bind directly to this subunit. Using a label-free single-molecule approach with nanoaperture optical tweezers (NOT), we quantify its binding, obtaining a dissociation constant of 13.6 ± 2.5 μM, consistent with ensemble fluorescence anisotropy results but challenging to achieve with other methods due to low affinity. Single-molecule NOT measurements reveal that binding increases optical scattering, indicating PR65 elongation. This interpretation is supported by all-atom molecular dynamics simulations showing PR65 adopts more extended conformations upon binding. This work highlights NOT’s utility in quantifying binding kinetics and structural impact, offering insights valuable for drug discovery.
Precise and controllable synthesis of ultra-stable gold nanoparticles based on polymer templates for miRNA detection
Authors: Xiang Longwei , Li Tong , Fang Guanhe , Shi Zongwei , Luo Zhimin , Meng Meng , Wu Ruiying , Xing Yumeng , Li Huixin , Tu Zhaoyuan , Feng Haoming , Zhang Chi , Yu Qiong , Hao Kai , Tian Huayu
Published: January 2025

Preparation of size-controllable, ultra-stable gold nanoparticles based on a single-molecule micelle polymer template, and application in precise miRNA detection.
The CuB site in particulate methane monooxygenase may be used to produce hydrogen peroxide
Authors: Lundgren Kristoffer J. M. , Cao Lili , Torbjörnsson Magne , Hedegård Erik D. , Ryde Ulf
Published: January 2025

We have studied possible reactions of the CuB site in pMMO with QM/MM methods, comparing it to the active site in LPMO. It seems to be poised more to the formation of H2O2 than the oxidation of CH4.
Nano-scaled advanced materials for antimicrobial applications – mechanistic insight, functional performance measures, and potential towards sustainability and circularity
Authors: Punz Benjamin , Christ Constantin , Waldl Alrun , Li Su , Liu Yingnan , Johnson Litty , Auer Vanessa , Cardozo Olavo , Farias Patricia M. A. , Andrade Arnaldo C. D. S. , Stingl Andreas , Wang Guocheng , Li Yang , Himly Martin
Published: January 2025

An overview on physicochemical properties, functional performance and mechanisms of antipathogenic action of nano-scaled advanced materials that covers novel assays and means to optimize their sustainability and circularity profile.
Observation of Griffiths-like phase and magnetocaloric effect in disordered Y2CoCrO6 double perovskite
Authors: Islam M. A. , Tarek Mohasin , Rashid Rimi , Bally M. A. A. , Ara Ferdous , Basith M. A.
Published: January 2025

The Griffiths-like phase in Y2CoCrO6 with TG = 145 K and TC = 50 K, alongside a notable magnetocaloric effect, demonstrating its potential for efficient magnetic refrigeration at low temperatures.
Ethanol-induced ammonium polyphosphate–silver gel paint: breaking the trade-off between conductivity, flame retardancy and adhesion in single-layer functional coatings
Authors: Wang Zilong , Wu Wanze , Gong Xiao
Published: January 2025

An ethanol-induced ammonium polyphosphate–silver (APP–Ag) gel paint is reported, which possesses excellent conductivity, flame retardancy and adhesion.
An Al(iii) and Hg(ii) selective optical and fluorometric chemosensor and its application in prawn, pharmaceutical drug, and in vitro cell imaging
Authors: Das Manik , Biswas Raju , Laha Soumik , Samanta Bidhan Chandra , Choudhuri Indranil , Bhattacharyya Nandan , Maity Tithi
Published: January 2025

Easy and selective detection of Hg(ii) and Al(iii) by a rhodamine-based chemosensor: extension to biosensing applications.
Protein–surface interactions in nano-scale biosensors for IL-6 detection using functional monolayers
Authors: Giberti Serena , Dutta Sutapa , Corni Stefano , Frasconi Marco , Brancolini Giorgia
Published: January 2025

A multiscale computational approach is employed to investigate the interaction dynamics between Interleukin-6, a key cancer biomarker, and alkyl-functionalized surfaces, with results benchmarked against SPR experiments to provide critical insights for guiding biosensor design.
Recent advances in multimodal mechanoluminescent sensors enabled by nanostructure design
Authors: Wang Zihao , Hu Jiaman , Yang Minglin , Liu Jize , Zhang Xinxing
Published: January 2025

Multifunctional coupling and signal decoupling achieved through nanostructure and supramolecule design, enable multimodal mechanoluminescent materials to play an increasingly important role in interdisciplinary applications and cutting-edge fields.
Germanium nanocrystal non-volatile memory devices: fabrication, charge storage mechanism and characterization
Authors: Chim Wai Kin
Published: January 2025

The charge storage mechanism of Ge nanocrystals is associated with the reduction, by hydrogen species, of Si–O–Ge bonds, which are located at the outer surface of the Ge nanocrystals where the Ge atoms form bonds with the silicon oxide matrix.
From 0D to 2D: microwave-assisted synthesis of electrically conductive metal–organic frameworks with controlled morphologies
Authors: Fang Xiaoyu , Choi Ji Yong , Lu Chenwei , Reichert Elizabeth , Pham Hoai T. B. , Park Jihye
Published: January 2025

We present a microwave-assisted strategy for synthesizing conductive metal–organic frameworks with tunable morphologies, highlighting their morphology-dependent conductivity and capacitance.
Inhibiting homogeneous catalysis of cobalt ions towards stable battery cycling of LiCoO2 at 4.6 V
Authors: Sun Chao , Zhao Bing , Wen Qing , Chen Xiang-tao , Hong Ning-yun , Zeng Jin-bo , Zhang Jia-feng , Li Ling-jun , Wang Jie-xi , Zhang Xia-hui , Zheng Jun-chao
Published: January 2025

ATMP inhibits the homogeneous catalytic oxidation of Co ions by chelation coordination, preventing the decomposition of the electrolyte. Meanwhile, it can form a stable CEI film at the interface, slowing down the side reactions.
The effect of chimney entrance slope and constricted section on the performance of solar chimney power plants: A CFD approach
Authors: Kaplan Mahmut
Published: January 2025

The depletion of hydrocarbon resources and climate change are major global issues which need to be solved urgently. Sun is a clean, inexhaustible, sustainable energy source which has the capacity to meet the future energy demands. Solar chimney power plants (SCPPs) with a simple design are competent to generate large-scale electricity. Primary components of SCPP are the chimney, turbine, and collector. In this work, impact of the chimney entrance slope and narrowed section on performance of SCPP is scrutinized. A computational fluid dynamics model (CFD) is constructed based on Manzanares plant with a chimney height (H) of 194.6 m via ANSYS FLUENT. The novel configurations are generated by changing the chimney inlet slope, θ (45°-85°) and radius of the constricted section with a fixed height (H/28). The findings demonstrate that a decrease in the slope with the constricted section improves the velocity, power and turbine pressure drop. The highest velocity of 17.9 m/s is gained for the configuration with θ = 85° compared to that of 14.3 m/s obtained for the base (θ = 45°) at 1000 W/m2. This configuration enhances power output to 60.4 kW with a rise of 31.3% in comparison to the base case at 1000 W/m2.
Advanced Algorithmic Model for Real-Time Multi-Level Crop Disease Detection Using Neural Architecture Search
Authors: Slimani Hicham , El Mhamdi Jamal , Jilbab Abdelilah
Published: January 2025

Efficient crop disease management shows great promise in optimizing the agricultural industry. Accurate identification of infection levels is crucial for implementing effective and efficient disease treatments. However, accurately identifying and locating crop diseases in complex, unstructured field environments remain challenging. This necessitates the utilization of large volumes of annotated data. This research paper comprehensively evaluates deep transfer learning techniques for identifying the degree of rust disease infection in Vicia faba L. production systems. We curate a vast dataset comprising images captured under natural lighting conditions and at different growth stages of the crop under study. We propose a deep learning model based on Neural Architecture Search (NAS) specifically designed for early detection and accurate classification of disease levels in crops. We compare the performance of our proposed model with nine other deep learning models using transfer learning. Remarkably, transfer learning based on the NAS method achieves high classification accuracy, consistently exceeding 90.84% F1 scores. Moreover, all models exhibit short training times, requiring less than 3 hours. Among the evaluated models, our NAS-based model emerges as the top performer, highlighting the importance and effectiveness of this method in developing state-of-the-art models. It achieves a mean average precision of 94.10% and an impressive overall recall of 96.96%. These results significantly contribute to developing robust and accurate disease management strategies, paving the way for improved agricultural practices and increased crop yields. Our approach enables early disease detection and precise classification, leveraging deep transfer learning and facilitating timely interventions and optimized treatments. With the help of this study, we can now better utilize cuttingedge agricultural technology, paving the way for sustainable crop production in the future.
Smart manufacturing paradigms in the context of industry 4.0: Bibliometric analysis
Authors: El Assad Nouhaila , Dachry Abdelmounaime , Fouraiji Hicham , Dachry Wafaa , Messaoudi Najat
Published: January 2025

Following each industrial revolution, spanning from Industry 1.0 to Industry 4.0, a distinct manufacturing paradigm has consistently emerged. In the current manufacturing environment and consumer-driven markets, Mass Customization and Mass Personalization are the newer smart manufacturing paradigms. Those novel approaches are designed to offer customers personalized products and services, all while preserving the efficiency of Mass Production. Within this framework, a bibliometric analysis was conducted in order to review and analyse the existing literature. The main findings reveal numerous parallels and differences between Mass Customization and Mass Personalization, especially in aspects such as scope, customer involvement, product variety and flexibility. Simultaneously, there are various limitations revolving around data availability and product uncertainty. Those smart manufacturing paradigms are studied within the context of Industry 4.0, and thus our study also focus on the impact and challenges of this fourth industrial revolution on Mass Customization and Mass Personalization.
Space Optimization for Raw Material Transportation: Reducing Environmental Impact
Authors: Taraa Chaymae , Ezzine Latifa , Dadda Afaf , Elallouli Ikram , Ayyadi Aya , Elmoussami Haj
Published: January 2025

In today’s industrial landscape, adhering to lean manufacturing principles and achieving operational excellence is increasingly vital due to rising competition. Eliminating waste, or Muda is essential for attaining a high level of lean manufacturing. One significant area for improvement is space optimization, which can be applied to production areas and logistic warehouses on a macroeconomic scale, or to trucks and pallets on a microeconomic scale. This study focuses on optimising truck space for the transportation of raw materials. An in-depth analysis of heuristics and metaheuristics methods was conducted to select the most suitable approach for this context. The chosen metaheuristic was then tailored in terms of parameters and design for this specific application. Simulation results indicate the optimal number of trucks required to meet demand and provide a 3D layout for storing raw material-filled boxes on pallets and pallets in trucks. The proposed solution is versatile and can be adapted for various storage optimization challenges within a given space.
Analysis of the effects of electromobility and renewable energy integration on grid power quality
Authors: Akintayo Oluwakemi K. , Longe Omowunmi M. , Oni Oluwafemi E.
Published: January 2025

In this work, the effects of renewable energy and electromobility integration into the power distribution network were analyzed. The energy systems (renewable energy sources and electromobility source systems) were modelled in a MATLAB/SIMULINK® environment. The modelled electric vehicle was simulated, and the total harmonic distortion (THD) was obtained before incorporating a passive electronic filter to lessen the effect of electric vehicle (EV) integration on the distribution network. Similarly, renewable energy sources (solar photovoltaic and wind) were integrated into the electromobility model, and their effects on the THD value were determined. It was discovered that the total harmonic distortion was within the acceptable International Electrotechnical Commission (IEC) standard of 5% when the electromobility source had a passive filter incorporated. It was discovered that the filter reduces the THD value from 195% to 0.03% both in Vehicle-to-Grid and Grid-to-Vehicle modes. Thus, filters should be incorporated into EVs to minimize the effect of their integration into the distribution network. This research work is unique because it combines the effects of electromobility (electric vehicle) load, renewable energy sources and passive filters on harmonics.
From Values to Climate Action: The Impact of Green Self-Efficacy on Pro-Environmental Behaviour in Greater Jakarta’s Higher Education Zillenials (SDG 13 View)
Authors: Grace Herlina Maria , Iskandar Karto , Dewi Dewi
Published: January 2025

This study examines the relationship between Generation Z’s environmental values in Greater Jakarta and their pro-environmental behavior, focusing on the mediating role of green self-efficacy. Using a cross-sectional survey of 200 university students, we employed Partial Least Squares Structural Equation Modeling to analyze the data. The findings reveal significant paths from environmental values to both green self-efficacy and pro-environmental behavior, highlighting green selfefficacy as a crucial mediator in translating environmental values into actual pro-environmental actions. The study underscores the importance of fostering environmental values and green self-efficacy to promote sustainable practices among young people. Practical implications include the development of educational curricula and community workshops aimed at enhancing green self-efficacy, as well as the formulation of public policies and corporate strategies that reflect environmental values and encourage community-led environmental initiatives. However, the study has limitations, primarily due to its focus on a specific demographic in Greater Jakarta, suggesting the need for further research across diverse regions and populations. Overall, these findings aim to inform strategies that advance sustainability and contribute to the goals outlined in SDG 13: Climate Action for policymakers, educators, and businesses.
The Influence of the Laser Power on the Manufacturing Quality Specific to Automotive Parts
Authors: Dumitrascu Dorin-Ion , Rusu Alexandru-Nicolae , Dumitrascu Adela-Eliza
Published: January 2025

The aim of this paper is to analyze the influence of laser power on the micro-perforation process of automotive parts. From a statistical point of view, the Anderson-Darling normality test was applied to validate the data distribution. With a 95% confidence interval, the goodness-of-fit is justified by the Anderson-Darling statistics (A-Squared = 0.14, P-Value = 0.963), indicating that the data are homogeneous. The summary report revealed that the mean laser power is 0.342 W, with confidence intervals ranging from 0.271 W to 0.413 W, and a standard deviation of 0.116 W, with confidence intervals between 0.083 W and 0.193 W. Furthermore, the analysis showed low variance, a skewness of 0.171 W, and a kurtosis of - 0.566 W. In conclusion, the study highlights the importance of precise control over laser power in the micro-perforation process, providing valuable insights for industrial applications aimed at improving the quality of automotive parts.
Molecular study and analysis of organic compounds for high-performance solar cell applications
Authors: El Mhamedi Imane , El Malki Zakaria
Published: January 2025

In this study, we used time-dependent density functional theory DFT/TD-DFT methods in its B3LYP/6-311G(d,p) formalism to model and analyze various properties of conjugated organic compounds. More specifically, the targeted systems consist of a D donor unit (carbazole), an A acceptor unit (benzothiadiazole) and various donor motifs. Quantum simulation via DFT/TD-DFT has enabled us to assess their fundamental electronic structures, boundary energy levels and optical absorption properties.Using AMPS1D software, we carried out an in-depth analysis of the photovoltaic properties of six compounds associated with the PCBM acceptor. These compounds were classified into two distinct categories. In the initial section, we evaluated the energy conversion efficiency of compounds, with performances between 7% to 11%. The second section presented the addition of a PEDOT layer between the active layer and the anode, which significantly improved photovoltaic performance, reaching a maximum efficiency of 15%. These results underline the positive impact of PEDOT addition on photovoltaic conversion and its potential for organic solar cells. In conclusion, our results indicate that these compounds represent promising candidates for future applications.
Various Techniques for Charging Lithium-Ion Batteries in Electric Vehicles Using Wireless Power Transfer Chargers
Authors: El Ancary Marouane , Lassioui Abdellah , El Fadil Hassan , Hasni Anwar , El Asri Yassine , Yahya Abdelhafid
Published: January 2025

Precise voltage and current regulation is essential to ensure the required power output and maximum efficiency in charging stations, particularly those utilizing Wireless Power Transfer (WPT) systems. Effective regulation techniques are necessary to manage voltage and current in Battery Electric Vehicles (BEVs) operating under various charging modes. This study outlines the controller design for different methods for charging lithium-ion batteries in a WPT charger. Initially, the fundamental concepts of WPT systems and their equivalent circuit are introduced. Subsequently, the control strategy for current regulation is detailed for the Constant Current (CC) mode, the Multi-stage Current Method (MCM), and the Pulse Charging Method (PCM). Finally, the resilience and validity of this innovative approach to controlling various techniques for charging lithium-ion batteries are demonstrated through simulations.
Advanced Pedestrian Distance Estimation for ADAS with Canny Edge Detection and Stereo Vision
Authors: Rachidi Oumayma , Ed-Dahmani Chafik , Bououlid Idrissi Badr
Published: January 2025

Pedestrian detection is a vital aspect of Advanced Driver Assistance Systems (ADAS), crucial for ensuring driving safety and minimizing collision risks. While detecting pedestrians is important, it must be paired with precise distance estimation to create a robust safety solution. Stereovision cameras are well-regarded for their effectiveness and affordability in measuring depth through disparity between two images. Despite this, research on pedestrian distance estimation using only stereovision remains sparse, with many studies relying on computationally heavy dense depth maps. This paper proposes an innovative method for computing object-level disparity specifically for pedestrian detection using stereo cameras. The approach integrates Canny edge detection with ORB (Oriented FAST and Rotated BRIEF) feature matching to efficiently identify and track keypoints within pedestrian bounding boxes. This method not only improves the accuracy of distance estimation but also reduces computational demands, making it suitable for real-time applications. The approach was thoroughly tested on a Raspberry Pi 4, a resource-constrained device, and achieved promising results, demonstrating its potential for practical use in ADAS.
Comparison of mechanical and thermal characteristics of PVC and recycled PVC used in window frames
Authors: Sebbar El Hassan , Ait Khouya Oumaima , Laaroussi Najma , Alanssari Nasser , Ait Msaad Abdelouahad
Published: January 2025

Improving the energy efficiency of buildings is a major challenge for reducing energy consumption and mitigating environmental impact. As key elements of building envelopes, windows play a crucial role in thermal management, capturing natural light and maintaining interior comfort. However, they also contribute significantly to heat loss from buildings. This article focuses on recent advances in the field of windows, with particular emphasis on the mechanical and thermal characterization of PVC and recycled PVC profiles. The results obtained show that PVC and recycled PVC profiles offer notable mechanical strength and good heat resistance, as evidenced by a softening temperature of 80.55°C and heat reversion percentages in line with standards. Recycled PVC boasts superior dimensional stability with a thermal reversion of 0.5%, suggesting robust performance even in environments subject to temperature fluctuations. However, to achieve optimum performance, particularly in terms of mechanical strength, it is essential to further optimize the formulation and production process, especially for recycled PVC.
High-Gain Observer in Fuel Cell and Cascaded DC-DC Boost Converter System
Authors: Nady Soukaina , El Fadil Hassan , Lassioui Abdellah , El Asri Yassine , Hasni Anwar
Published: January 2025

In this study, we propose using a high-gain observer (HGO) in fuel cell systems and the FC-cascade boost converter to achieve precise state estimation and improve control accuracy. The HGO offers significant advantages, including robustness to disturbances, simplicity of design, and reduced dependency on costly sensors, thereby enhancing system performance and reducing operational costs. Our results demonstrate the superior accuracy and reliability of this approach, confirming its potential as a promising solution for fuel cell applications.
Techno-Economic Analysis of Power to Ammonia Production
Authors: Djire All-Fousseni , Bazzi Ahmed , El Hafdaoui Hamza , Khallaayoun Ahmed , Lghoul Rachid
Published: January 2025

This study introduces a novel methodology for conducting a techno-economic analysis of green ammonia production using mathematical models that meticulously parameterize plant units and technical specifications. The approach involves two key steps: first, identifying and modeling the essential components of green ammonia production, such as electrolyzers, ammonia synthesis units, and plant configurations; second, developing a non-linear optimization model to minimize the levelized cost of ammonia, payback period, internal rate of return, and return on investment. The model also incorporates constraints like maintaining minimum plant unit loads and optimizing electricity costs. By leveraging renewable energy through power purchase agreements, the study ensures a stable energy supply and carbon neutrality across the ammonia value chain. Two scenarios are examined: one with a user-defined electrolyzer configuration and another with an optimized configuration. In the latter, electricity consumption drops to 10 MWh per ton of ammonia produced, saving 60 GWh of energy annually, along with reductions in capital costs by 53% and operating costs by 10% compared to the first scenario.
Robust MPPT Control of PMSG Wind Turbines Using Sliding Mode Control
Authors: Gezzaz Driss , Miqoi Sabah , El Ougli Abdelghani
Published: January 2025

Wind energy is becoming an increasingly promising technology and a more significant player in energy production. However, due to the nonlinear nature of the system and the impact of external conditions, an effective control strategy is crucial. In this paper, we employ Sliding Mode Control as a Maximum Power Point Tracker (MPPT) on a Buck-Boost converter to connect the DC load to the wind turbine generator. All system components are modeled and simulated using MATLAB/Simulink, and the results demonstrate the promising potential of the SMC method.
A comprehensive review on Washingtonia plant biomass fiber in insulating materials
Authors: Elmoudnia Hicham , Faria Paulina , Jalal Rachid , Waqif Mohamed , Saâdi Latifa
Published: January 2025

The primary causes of global warming include human activities such as burning fossil fuels, deforestation, and certain agricultural practices that release greenhouse gases. To address this issue, a shift towards clean energy sources, improved energy efficiency, and sustainable land use practices is necessary. Natural fiber insulation offers several benefits, including superior thermal and acoustic performance, fire resistance, and ease of installation, making it a sustainable and environmentally responsible alternative to conventional insulation materials. The use of natural fiber insulation, such as Washingtonia plant, has gained traction in sustainable building practices. Nonetheless, few researches have looked into Washingtonia plants as potential insulators. This review highlights the physical, thermal, and mechanical properties of insulating materials based on Washingtonia plant fibres, as well as their application.
Methods for state of health estimation for lithium-ion batteries: An essential review
Authors: Rhdifa Houda , Ammar Abderazzak , Bouattane Omar
Published: January 2025

Electric vehicles (EVs) are a practical and suitable choice for reducing the pollution rate caused by combustible engines of conventional cars. The lithium-ion batteries (LIB) serve as a support for energy storage in EVs owing to their benefits and advantages. To ensure their optimal performance and working under safe conditions the state of health SOH of battery has to be accurately estimated. In this paper, the main estimation techniques, namely, model-based, and data-driven approaches are explained with a brief look at their several stages. Thus, two examples are presented for each method: neural networks (NN) and support vector machines (SVM) for data-driven, the combination of variable forgetting factor recursive least squares (VFF-RLS) with adaptive unscented Kalman filter (AUKF) and particle swarm optimization (PSO), genetic algorithm (GA), particle filter (PF), recursive least squares (RLS) for model-based method to show how each method is applied. Finally, a list of advantages and drawbacks of some parameter identification and SOH estimation methods is prepared, and then some other related works are referred to.
Methodical Approach to Selecting the Appropriate Distribution for Reliability Analysis: Automotive Application
Authors: Bella Naoufal , Salhi Nohaila , Lagrat Ismail
Published: January 2025

In this study, we propose a methodical approach to selecting an appropriate statistical distribution for reliability analysis. In this approach, we have defined a methodology for testing reliability distributions based on the Kolmogorov Smirnov K-S test for MTBF Data collected from Self-Diagnostic of a sample of 50 critical components part of a complex automotive system. Finally, we proposed two solutions: the first involves migrating from one distribution to another according to the intervals, and the second allows for the selection of the distribution that is representative over a maximum number of intervals. These strategies were developed from the analysis of results after application of the K-S test on the distributions tested. This approach will contribute. to the reliability analysis of complex systems. As a result, in improving the models used to analyze complex systems behavioral analogies such as Petri nets or Markov chains.
Adaptive threshold scheme for fault detection for positive switched systems with parametric uncertainty
Authors: Kenza Telbissi
Published: January 2025

This paper addresses the challenge of designing a fault detection observer for actuators and sensors in a particular class of positive switched systems, using the average dwell time method. The proposed approach involves the concurrent generation of residuals and a dynamic threshold, enhancing the precision and efficiency of fault detection. Additionally, our work introduces an innovative method for fault detection with parametric uncertainties, outlining sufficient conditions for designing the observer using Linear Programs (LP). The effectiveness of the proposed approach is validated through a numerical simulation.
A Monte Carlo simulation study of the impact of increasing the axial field of view on PET scanner sensitivity with various scintillating crystals
Authors: El Ouaridi Abdallah , Ait Elcadi Zakaria , Mkimel Mounir , Bougteb Mustapha , El Baydaoui Redouane
Published: January 2025

This study addresses sensitivity performance, a pivotal parameter of Positron Emission Tomography (PET) imaging, which measures the system’s ability to detect and precisely measure radiotracer signals. It primarily depends on the scintillation material and the system’s axial field of view (AFOV). Enhancing this performance can significantly increase overall system performance and clinical practice. This research evaluates the sensitivity of a simulated PET model based on different scintillation materials and extended AFOV values, following the NEMA NU 2-2018 protocol. A standard PET system model with an AFOV of 15.9 cm was developed using the GATE Monte Carlo simulation toolkit (v9.2), along with detailed modelling of the NEMA NU 2-2018 sensitivity phantom. Simulations examined six scintillation materials (BGO, GSO, LSO, LYSO, LuAP, and NaI) across AFOV sizes from 15.9 cm to 79.5 cm. Results showed a substantial increase in sensitivity with AFOV extension, following a quadratic relationship. BGO, LuAP, and LSO crystals demonstrated notable performance enhancements, while LYSO showed acceptable results. This study underscores the potential of AFOV extension and high-performance scintillation crystals to enhance sensitivity in PET scanners, thereby improving imaging quality and potentially advancing clinical practice.
Conventional Control Strategies in Building Energy Management
Authors: Mahrouch Habiba , Haidi Touria , Derri Mounir , Hbiak Ishak , Mellouli El Mehdi , Mbarki Fatima Ezzahra
Published: January 2025

Building energy management is a critical component of global efforts to address climate change and environmental sustainability. Buildings account for a significant portion of worldwide energy consumption, making effective energy management in this sector crucial for reducing electricity costs and mitigating greenhouse gas emissions. This review article provides a comprehensive overview of conventional control methods used in building energy management, drawing from the latest research published in international journals and conferences. The review critically examines various control strategies, including hierarchical control. It highlights the key features, configurations, advantages, and limitations of these different approaches. The article also identifies the main challenges and research gaps in existing building energy control methods. These include the efficient control of complex, non-linear, and uncertain building systems. To address these issues, the review explores future research directions focused on developing adaptive, robust, and non-linear control techniques. The guidelines and control strategies discussed in this work aim to support the achievement of sustainable development goals through the optimization of energy management in buildings. By presenting the state-of-the-art in this field, the review provides valuable insights to researchers, building managers, and policymakers working towards a more energy-efficient and environmentally-sustainable built environment.