bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Job Crafting on Nurses’ Intent to Stay: A Cross-Sectional Study
Authors: Rodríguez-García Mª Carmen , Ramos-Martínez Ángeles , Cruz-Cobo Celia
Published: November 2024

Background/Objectives: The increasing rates of nurse turnover pose significant challenges to healthcare systems, negatively impacting patient outcomes and increasing operational costs. Despite the recognized importance of retaining nursing staff, factors contributing to turnover intentions, such as job dissatisfaction and burnout, remain inadequately addressed. Developing job crafting skills among nurses can be a proactive strategy to mitigate these issues, leading to a more engaged and committed workforce. The aim of this study was to analyze nurses’ job crafting and its relationship with the intention to stay at their working hospitals or to leave the nursing profession. Methods: A cross-sectional, correlational study was conducted with a sample of 284 registered nurses using a self-reported online questionnaire with the standardized Spanish version of the Job Crafting Scale. Mann–Whitney U and Kruskal–Wallis nonparametric tests were used to determine statistically significant differences between two or more different groups for the job crafting variable, respectively. The Spearman correlation coefficient was calculated to explore the relationships between variables. Results: Mean scores obtained for the Job Crafting Scale indicated that nurses in the study had a high level of job crafting. Nurses with lower scores for the ‘Decreasing hindering job demands’ subscale had a significantly lower intention to stay at their workplace. Greater ‘Decreasing hindering job demands’ scores were significantly associated with a lower intention to leave the nursing profession. Lower nurses’ intention to leave the nursing profession was significantly associated with a greater intention to stay at hospitals. Conclusions: Improving ‘Decreasing hindering job demands’ job crafting skills to “decrease hindering job demands” through workload management, time management training, supportive supervision, resource availability, autonomy encouragement, promotion of team collaboration, and mental health support. It could lead to greater retention of nurses in their workplaces and in the nursing profession. Nursing managers and leaders should consider improving the job crafting skill “Decrease Hindering Job Demands” among nurses as a potential strategy for effective retention of nurses to address the challenges of the global nursing shortage.
Relationship Between Perceived and Received Social Support in Family Caregivers: A Systematic Review with Meta-Analysis
Authors: Gutiérrez-Sánchez Belén , López-Martínez Catalina , da-Silva-Domingues Henrique , del-Pino-Casado Rafael
Published: November 2024

Background: The care of dependent people is eminently family-oriented, and often, there is a high level of dedication to this family care. Constant and continuous care leads to a series of negative psychological consequences. Social support has been related to improved mental health in family caregivers. We found heterogeneous results regarding the relationship between the types of social support received and the perceived level of support. In addition, to our knowledge, no reviews analyse this relationship among family caregivers. Objectives: Therefore, we objective to systematically synthesise the relationships between perceived and received social support in informal caregivers. Methodology: We have carried out a quantitative systematic review with a meta-analysis, registered in PROSPERO (id: CRD42023470047); the systematic search was carried out in the following databases: PubMed, CINAHL, PsycINFO, and Scopus, until November 2023. After the selection and review of the results, twelve studies were obtained, two of which were eliminated due to a high risk of classification bias. Results: Regarding the results, a medium-size positive statistical association was found (r = 0.43). The results were consistent, accurate, and robust. The Trim and Fill test showed a variation of 7%. Subgroup analysis indicated no differences in the age group of the people cared for (adults or children), selection bias, and confounding bias. Conclusions: In conclusions, perceived social support is related to more social support received by family caregivers.
Comparative Pharmacokinetics and Egg Residues of Amoxicillin, Single and in Combination with Bromhexine, in Laying Hens
Authors: Kim Jeong-Won , Jeong Ji-Soo , Kim Jin-Hwa , Kim Chang-Yeop , Chung Eun-Hye , Boo So-Young , Lee Soo-Ha , Ko Je-Won , Kim Tae-Won
Published: November 2024

The need for antibiotics in commercial laying hens is increasing owing to intensive farming systems. Amoxicillin trihydrate (AMX), an aminopenicillin β-lactam antibiotic, exerts broad bactericidal activity. However, its short half-life necessitates frequent administration to ensure efficacy, thus limiting its use. Herein, we investigated the effect of concurrent administration of bromhexine hydrochloride (BRM), a mucolytic agent, on AMX pharmacokinetics, performing a comparative pharmacokinetic analysis of AMX administration alone and in combination with BRM. AMX (50 mg/kg) was administered by oral gavage once daily for three days alone or in combination with 10 mg/kg BRM. Plasma and egg samples were collected to evaluate pharmacokinetic profiles and egg residues. The area under the curve and maximum plasma concentration values were significantly higher in the AMX + BRM group than the AMX only group. However, there were no significant differences in AMX half-life in the elimination phase (T1/2), elimination rate constant (kel), or apparent clearance (CL/F) values. In the egg residue study, the withdrawal period for AMX was 5 days in both groups, with no significant difference when using the maximum residue limit (MRL) of 10 μg/kg. The concentration of BRM in the eggs remained at 100 μg/kg up to the fourth day following drug administration. Conclusion: These results confirmed that BRM co-administration increased systemic exposure to AMX, with a negligible residual impact of amoxicillin in eggs.
Culex quinquefasciatus Density Associated with Socioenvironmental Conditions in a Municipality with Indeterminate Transmission of Lymphatic Filariasis in Northeastern Brazil
Authors: Xavier Amanda , Bonfim Cristine , Cantalice Pablo , Júnior Walter Barbosa , Silva Filipe Santana da , Régis Vítor , Sá André , Medeiros Zulma
Published: November 2024

Lymphatic filariasis (LF) is a neglected tropical disease associated with poverty and poor environmental conditions. With the inclusion of vector control activities in LF surveillance actions, there is a need to develop simple methods to identify areas with higher mosquito density and thus a higher consequent risk of W. bancrofti transmission. An ecological study was conducted in Igarassu, which is in the metropolitan region of Recife, Pernambuco, Brazil. The mosquitoes were captured in 2060 houses distributed across 117 census tracts. The vector density index (VDI), which measures the average number of lymphatic-filariasis-transmitting mosquitoes per number of houses collected in the risk stratum, was constructed. Moreover, the social deprivation indicator (SDI) was constructed and calculated through principal component factor analysis. An average of 242 female C. quinquefasciatus were found in the high-risk stratum, while the average in the low-risk stratum was 108. The overall VDI was 6.8 mosquitoes per household. The VDI for the high-risk stratum was 13.2 mosquitoes per household, while for the low/medium-risk stratum, it was 5.2. This study offers an SDI for the density of C. quinquefasciatus mosquitoes, which can help reduce the costs associated with data collection and allows for identifying priority areas for vector control actions.
Seroprevalence and Risk Factors for Cysticercosis in Mexican Americans in Starr County, Texas
Authors: Duffey Megan M. , O’Connell Elise M. , Jibowu Morgan , Moron Fanny E. , Leining Lauren M. , Tang Nina L. , Hanis Craig L. , Brown Eric L. , Gunter Sarah M.
Published: November 2024

Cysticercosis is a parasitic infection and neglected tropical disease caused by Taenia solium, or the pork tapeworm. Cysticercosis with central nervous system involvement, or neurocysticercosis, is a leading cause of chronic headaches and epilepsy in endemic regions, including Latin America and Asia. In the United States, the epidemiology of cysticercosis has not been well described. We conducted a cross-section serosurvey of Mexican-American adults residing along the Texas–Mexico border (Starr County, Texas) and identified an overall seroprevalence of 7.4% (45/605) for cysticercosis. Brain imaging studies conducted on seropositive study participants identified lesions consistent with calcified neurocysticercosis in 2 of the 45 seropositive individuals. Female sex (p = 0.021), employment in healthcare, caregiving, or social service (p = 0.002), and indoor occupation (p < 0.001) were found to be significantly associated with seropositivity. Further study is needed to evaluate the burden of neurocysticercosis and local transmission risk in this community.
Multidrug Resistance of Gallibacterium anatis Biovar Haemolytica Isolated from the Reproductive Tracts of Laying Hens
Authors: Kursa Olimpia
Published: November 2024

Antimicrobial resistance is recognized worldwide as one of the greatest threats to human and animal health and the environment. To evaluate the resistance rate of Gallibacterium anatis biovar haemolytica, which contributes to bacteremia, oophoritis, ovarian follicle degeneration, salpingitis, decreased egg production, and increased mortality in hens, strains isolated from the reproductive tracts of layers were analyzed. The oviducts were taken from three hens from each of 10 flocks manifesting clinical signs related to laying. Twenty-two isolates of G. anatis biovar haemolytica collected from the three parts of the reproductive system were identified using MALDI-TOF and molecular methods. The biovar’s resistance to 19 antimicrobial substances was assessed using the disk diffusion (n = 8) and broth microdilution (n = 11) methods. The presence of virulence (gtxA, gyrB, and flfA) and antibiotic resistance (blaROB, aphA, tetB, and tetH) genes was examined using PCR. All the isolates were resistant to four or more classes of antibiotics and were considered multidrug-resistant. All such isolates were resistant to tilmicosin, tylosin, and enrofloxacin, 88.2% were to tetracycline, and 82.4% to vancomycin. The gtxA, gyrB, tetB, and tetH genes were demonstrated. Considering the present prevalence of multidrug resistance among G. anatis biovar haemolytica isolates from laying hen reproductive tracts, surveillance in reproductive flocks is warranted.
Optimizing Treatment Outcomes in Crohn’s Disease: A Comprehensive Systematic Review and Meta-Analysis of Regenerative Therapies with Emphasis on Platelet-Rich Plasma
Authors: Mazzaro Marcia Carolina , de Paula Ana Emília Carvalho , Pascoal Livia Bitencourt , Genaro Livia Moreira , Pereira Isabela Machado , Rodrigues Bruno Lima , Oliveira Priscilla de Sene Portel , Leal Raquel Franco
Published: November 2024

Background/Objectives: Crohn’s disease (CD) is a chronic inflammatory disorder that significantly affects patients’ quality of life; conventional treatments often provide limited relief. Methods: This systematic review and meta-analysis explored the potential of regenerative therapies, particularly platelet-rich plasma (PRP), as an adjunctive treatment for CD. The study protocol was registered with PROSPERO (CRD42024576683), and a comprehensive search was conducted across major databases, such as PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials. The search included terms related to CD and PRP. Studies assessing the efficacy of PRP in CD treatment were selected. Statistical analysis was conducted using the PICO framework with R software (version 4.3.2) and meta-package. Results: Of the 29 studies identified, 10 met the inclusion criteria, comprising pilot studies and controlled trials. Nine studies focused on Crohn’s disease perianal fistulas (CDPF), and one focused on colonic CD. Among 138 patients with CDPF, 82.44% showed some fistula healing after PRP treatment, with 48.05% achieving complete resolution. In a sub-analysis, combining PRP with a stromal vascular fraction (SVF) resulted in a 58.62% complete healing rate, whereas combining PRP with adipose-derived stem cells (ASCs) showed even higher efficacy at 85.89%. PRP treatment alone resulted in a lower complete healing rate of 38.51%. PRP was well tolerated, with minor side effects such as localized pain. Conclusions: These findings suggest that PRP, especially when combined with stem cells, offers a promising new approach for treating CD. However, larger trials are needed to confirm its long-term benefits and refine its clinical applications.
The Genus Commiphora: An Overview of Its Traditional Uses, Phytochemistry, Pharmacology, and Quality Control
Authors: Yang Yujia , Sun Xiuting , Peng Chuhang , Wei Jianhe , Yang Xinquan
Published: November 2024

Myrrh is the resinous substance secreted by plants of the genus Commiphora. In traditional Chinese medicine, Ayurvedic medicine, and traditional Arabic medicine, myrrh is regarded as an important medicinal material, widely used in the treatment of trauma, arthritis, hyperlipidemia, and other diseases. This review explores the evolving scientific understanding of the genus Commiphora, covering facets of ethnopharmacology, phytochemistry, pharmacology, artificial cultivation, and quality control. In particular, the chemical constituents and pharmacological research are reviewed. More than 300 types of secondary metabolites have been identified through phytochemical studies of this genus. Guggulsterone is a bioactive steroid isolated mainly from Commiphora mukul. The two isomers, Z- and E-guggulsterone, have shown a wide range of in vitro and in vivo pharmacological effects, including anti-proliferation, antioxidant, anti-inflammatory, and antibacterial. However, the current scientific research on quality control of medicinal materials and identification of original plants is insufficient, which limits the reproducibility and accuracy of biological activity evaluation experiments. Therefore, the establishment of analytical protocols and standardization of extracts is an important step before biological evaluation. At the same time, in order to find more bioactive substances, it is necessary to strengthen the research on the stems, barks, and leaves of this genus. The sources used in this study include PubMed, CNKI, Web of Science, Google Scholar, and other databases, as well as multinational pharmacopoeias, ancient books of traditional medicine, herbal classics, and modern monographs.
Evaluation of Drug–Drug Interactions Between Clarithromycin and Direct Oral Anticoagulants Using Physiologically Based Pharmacokinetic Models
Authors: Yang Zhuan , Qu Yuchen , Sun Yewen , Pan Jie , Zhou Tong , Yu Yunli
Published: November 2024

Objective: This study assessed the pharmacokinetic (PK) interactions between clarithromycin (a P-glycoprotein [P-gp] inhibitor) and four direct oral anticoagulants (DOACs) (P-gp substrates) using physiologically based PK (PBPK) models to elucidate the influence of P-gp in the interaction between them. Methods: PBPK models for clarithromycin, DABE–dabigatran (DAB), rivaroxaban, apixaban, and edoxaban were constructed using GastroPlus™ (version 9.9), based on physicochemical data and PK parameters from the literature. The models were optimized and validated in healthy subjects. We evaluated the predictive performance of the established model and further assessed the impact of P-gp on the PK of the four DOACs. Successfully validated models were then used to evaluate potential drug–drug interactions (DDIs) between clarithromycin and the DOACs. Results: The established PBPK models accurately described the PK of clarithromycin, DABE–DAB, rivaroxaban, apixaban, and edoxaban. The predicted PK parameters (Cmax, Tmax, AUC0-t) were within 0.5–2 times the observed values. A sensitivity analysis of P-gp parameters indicated that an increase in P-gp expression was reduced by in vivo exposure to DOACs. The models demonstrated good predictive ability for DDIs between clarithromycin and the anticoagulants, and the ratio of the predicted values to the observed values of Cmax and the area under the curve (AUC) in the DDI state was within the range of 0.5–2. Conclusions: Comprehensive PBPK models for clarithromycin, DABE–DAB, rivaroxaban, apixaban, and edoxaban were developed, which can effectively predict DDIs mediated by P-gp’s function. These models provide theoretical support for clinical dose adjustments and serve as a foundation for future PBPK model development for DOACs under specific pathological conditions.
Views from Multinational Pharmaceutical Companies on Allocation of Clinical Trials in Saudi Arabia—Qualitative Study
Authors: Aloudah Nouf M. , Shaman Ahmed M.
Published: November 2024

Clinical trials conducted by pharmaceutical companies are essential for bridging local research efforts with broader populations, facilitating the transfer of valuable insights and solutions. This study aimed to explore the barriers and facilitators affecting clinical trials in Saudi Arabia from the perspective of key personnel within the pharmaceutical industry and Contract Research Organizations (CROs). We conducted in-depth semi-structured interviews with nine participants, which provided a holistic understanding of the intricate dynamics shaping the landscape of clinical trials in the country. The analysis revealed three prominent themes: operational challenges, complexities in navigating approval hurdles, and the unique value proposition for conducting clinical trials in Saudi Arabia. The participants expressed pride in the local infrastructure but acknowledged existing flaws, particularly in regulatory processes that contribute to delays in trial initiation. They emphasized the importance of conducting clinical trials in areas such as diabetes, crowd management during pilgrimages, and rare diseases, which are prevalent in the region. Despite the limited number of clinical trials registered (354 from 2009 to 2020, with only 1% being phase 1 studies), Saudi Arabia’s total pharmaceutical market exceeds SAR 13 billion, positioning it as the largest market in the region. Stakeholders recognized the country’s potential as a research hub, particularly within the Gulf Cooperative Council (GCC) region. However, to attract more trials and enhance the medical research landscape, it is crucial to address the identified barriers, streamline processes, and improve stakeholder alignment. The findings highlight the need for targeted interventions to overcome these challenges and leverage Saudi Arabia’s investments in healthcare infrastructure since its transformation program launched in 2010. By enhancing the regulatory environment and fostering collaboration among stakeholders, Saudi Arabia can solidify its role as a key player in international clinical research.
Deep Learning-Enabled De-Noising of Fiber Bragg Grating-Based Glucose Sensor: Improving Sensing Accuracy of Experimental Data
Authors: Tiwari Harshit , Dwivedi Yogendra S. , Singh Rishav , Sharma Anuj K. , Sharma Ajay Kumar , Krishna Richa , Singha Nitin Singh , Prajapati Yogendra Kumar , Marques Carlos
Published: November 2024

This paper outlines the successful utilization of deep learning (DL) techniques to elevate data quality for assessing Au-TFBG (tilted fiber Bragg grating) sensor performance. Our approach involves a well-structured DL-assisted framework integrating a hierarchical composite attention mechanism. In order to mitigate high variability in experimental data, we initially employ seasonal decomposition using moving averages (SDMA) statistical models to filter out redundant data points. Subsequently, sequential DL models extrapolate the normalized transmittance (Tn) vs. wavelength spectra, which showcases promising results through our SpecExLSTM model. Furthermore, we introduce the AttentiveSpecExLSTM model, integrating a composite attention mechanism to improve Tn sequence prediction accuracy. Evaluation metrics demonstrate its superior performance, including a root mean square error of 1.73 ± 0.05, a mean absolute error of 1.20 ± 0.04, and a symmetric mean absolute percentage error of 2.22 ± 0.05, among others. Additionally, our novel minima difference (Min. Dif.) metric achieves a value of 1.08 ± 0.46, quantifying wavelength for the global minima within the Tn sequence. The composite attention mechanism in the AttentiveSpecExLSTM adeptly captures both high-level and low-level dependencies, refining the model’s comprehension and guiding informed decisions. Hierarchical dot and additive attention within this model enable nuanced attention refinement across model layers; dot attention focuses on high-level dependencies, while additive attention fine-tunes its focus on low-level dependencies within the sequence. This innovative strategy enables accurate estimation of the spectral width (full-width half maxima) of the Tn curve, surpassing raw data’s capabilities. These findings significantly contribute to data quality enhancement and sensor performance analysis. Insights from this study hold promise for future sensor applications, enhancing sensitivity and accuracy by improving experimental data quality and sensor performance assessment.
Physio-Metabolic Mechanisms Behind Postharvest Quality Deterioration in Broccoli (Brassica oleracea var. Italica) and Swiss Chard (Beta vulgaris L. var. Cicla): A Review
Authors: Shezi Sabelo , Ngcobo Mduduzi E. K. , Khanyile Nokuthula , Ncama Khayelihle
Published: November 2024

Leafy vegetables are among the potential foods that can combat food insecurity in developing countries. Their major drawback is a short shelf life, which limits their supply chain and is commonly associated with their high metabolic activities. Leafy vegetables have a high water content, which determines their freshness. Moisture loss through respiration and transpiration at postharvest storage is one quality attribute that leads to rapid quality deterioration. Little has been carried out in studying the mechanisms associated with the quality deterioration of leafy vegetables; however, understanding these mechanisms may aid in developing effective preservation measures. Furthermore, recent literature reviews that focus on discussing the mechanisms that lead to quality loss in leafy vegetables are scarce. The current paper aims to review the physiological and biochemical processes associated with quality deterioration in leafy vegetables. The respiration, ethylene production, moisture loss, colour, and texture are highly associated with the quality deterioration of fresh produce and, thus will be discussed critically in selected leafy vegetables, namely: broccoli and Swiss chard. The findings from this review indicate that the quality deterioration in leafy vegetables is primarily enzymatic. Understanding the mechanisms of quality deterioration involves identifying the specific enzymes responsible for each metabolic process and examining the internal and external factors that influence enzyme activities.
Impact of Climate Change on Distribution of Endemic Plant Section Tuberculata (Camellia L.) in China: MaxEnt Model-Based Projection
Authors: Xiao Xu , Li Zhi , Ran Zhaohui , Yan Chao , Chen Juyan
Published: November 2024

Sect. Tuberculata, as one of the endemic plant groups in China, belongs to the genus Camellia of the Theaceae family and possesses significant economic and ecological value. Nevertheless, the characteristics of habitat distribution and the major eco-environmental variables affecting its suitability are poorly understood. In this study, using 65 occurrence records, along with 60 environmental factors, historical, present and future suitable habitats were estimated using MaxEnt modeling, and the important environmental variables affecting the geographical distribution of sect. Tuberculata were analyzed. The results indicate that the size of the its potential habitat area in the current climate was 1.05 × 105 km2, and the highly suitable habitats were located in Guizhou, central-southern Sichuan, the Wuling Mountains in Chongqing, the Panjiang Basin, and southwestern Hunan. The highest probability of presence for it occurs at mean diurnal range (bio2) ≤ 7.83 °C, basic saturation (s_bs) ≤ 53.36%, temperature annual range (bio7) ≤ 27.49 °C, −7.75 °C < mean temperature of driest quarter (bio9) < 7.75 °C, annual UV-B seasonality (uvb2) ≤ 1.31 × 105 W/m2, and mean UV-B of highest month (uvb3) ≤ 5089.61 W/m2. In particular, bio2 is its most important environmental factor. During the historical period, the potential habitat area for sect. Tuberculata was severely fragmented; in contrast, the current period has a more concentrated habitat area. In the three future periods, the potential habitat area will change by varying degrees, depending on the aggressiveness of emissions reductions, and the increase in the potential habitat area was the largest in the SSP2.6 (Low-concentration greenhouse gas emissions) scenario. Although the SSP8.5 (High-concentration greenhouse gas emissions) scenario indicated an expansion in its habitat in the short term, its growth and development would be adversely affected in the long term. In the centroid analysis, the centroid of its potential habitat will shift from lower to higher latitudes in the northwest direction. The findings of our study will aid efforts to uncover its originsand geographic differentiation, conservation of unique germplasms, and forestry development and utilization.
Digital Social Media Influencers’ Impact on Beauty and Personal Care Purchases in South Africa
Authors: Singh Raksha , Telukdarie Arnesh , Mongwe Regionald
Published: November 2024

The South African beauty and personal care industry has been significantly impacted by digital technologies, with social media influencers (SMIs) playing a pivotal role in shaping consumer behaviour. Despite the significant role of SMIs, there is a notable research gap in optimising their influence to boost customer engagement and drive sales. This study addresses this gap by introducing a comprehensive digital framework integrating artificial intelligence (AI) and digitalisation to enhance influencer marketing (IM) strategies in South Africa’s beauty and personal care industry. The primary objective is to present a novel approach that digitally overlays traditional SMI marketing processes, enhancing engagement and effectiveness. A mixed-method approach was employed, integrating quantitative data from web scraping and sentiment analysis (SA) of Instagram posts with qualitative insights from the existing literature. This approach facilitated data-driven decision-making and optimised IM efficacy through technology-driven feedback analysis. The empirical findings confirmed that incorporating AI into influencer marketing (IM) campaigns significantly improves data collection and sentiment analysis, enhancing consumer engagement and purchase intent. This study underscores the transformative impact of digitalisation on marketing practices and the potential of digital tools to optimise SMI strategies in the beauty and personal care sector. This research also provides a valuable framework for marketers aiming to enhance IM campaigns, emphasising the strategic advantage of an automated response workflow based on feedback analysis. This study contributes to developing more impactful digital marketing strategies, maximising the effect of SMIs, and ensuring market competitiveness.
Melt Spinnability Comparison of Mechanically and Chemically Recycled Polyamide 6 for Plastic Waste Reuse
Authors: Kim Kyuhyun , Kim Minsoo , Kim Yerim , Kim Jinhyeong , Lim Jihwan , Lee Woojin , Kim Han Seong , Cho Dong-Hyun , Lee Jaejun , Choi Sejin
Published: November 2024

With the increasing volume of synthetic fiber waste, interest in plastic reuse technologies has grown. To address this issue, physical and chemical recycling techniques for polyamide, a major component of textile waste, have been developed. This study investigates the remelting and reforming properties of four types of pristine and recycled polyamide 6, focusing on how the microstructural arrangement of recycled polyamides affects polymer fiber formation. DSC and FT-IR were used to determine the thermal properties and chemical composition of the reformed thin films. Differences in the elongation behavior of molten fibers during the spinning process were also observed, and the morphology of the resulting fibers was examined via SEM. Birefringence analysis revealed that the uniformity of the molecular structure greatly influenced differences in the re-fiberization process, suggesting that chemically recycled polyamide is the most suitable material for re-fiberization with its high structural similarity to pristine polyamide.
Correction: Sriseubsai et al. Robust Design of PC/ABS Filled with Nano Carbon Black for Electromagnetic Shielding Effectiveness and Surface Resistivity. Processes 2020, 8, 616
Authors: Sriseubsai Wipoo , Tippayakraisorn Arsarin , Lim Jun Wei
Published: November 2024

With this correction, the Editorial Office together with the authors are making the following amendments to the published article [...]
Interlayer-Functionalized Graphene with Phosphorus–Silicon-Containing Elements for Improving Thermal Stability and Flame Retardance of Polyacrylonitrile
Authors: Guan Yu , Wang Chengcheng , Fu Shaohai , Fan Lishan , Lin Qin , Wang Dong
Published: November 2024

Highly-effective non-halogenated flame retardants have received widespread attention because they are environmentally friendly, with low toxicity and low smoke density. In this work, interlayer-functionalized graphene (fRGO) containing silicon and phosphorus elements was synthesized via hydrolytic condensation with 3-(methacryloyloxy)propyltrimethoxysilane and addition reaction with 9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide. Interlayer spacing and oxygen-containing groups of reduced graphene oxide (RGO) were regulated by controlling the hydrazine hydrate dosage. Then, phosphorus–silicon-containing organic molecules were inserted into RGO interlayers; this was verified by FTIR, XPS, TEM, etc. The fRGO was added to a polyacrylonitrile (PAN) matrix using a solution blending method to prepare polyacrylonitrile (PAN) composites. The fRGO addition caused the significant decrease in cyclization heat and the considerable increase in char residues, indicating improved thermal stability. Importantly, PAN composites exhibited outstanding flame-retardant properties, with the peak heat release rate reduced by 45%, which is ascribed to the dense graphitic carbon layers induced by phosphorus–silicon-containing organics and the 2D barrier effect of RGO layers to prevent the heat and mass transfer.
Exploring Recent Advances in Lignocellulosic Biomass Waste Delignification Through the Combined Use of Eutectic Solvents and Intensification Techniques
Authors: Álvarez Cristina , Duque Aleta , Sánchez-Monedero Andrea , González Emilio J. , González-Miquel María , Cañadas Raquel
Published: November 2024

Growing awareness of resource sustainability and waste management has driven the search for circular-economy solutions. Lignocellulosic biomass waste, the most abundant renewable carbon resource, offers green potential as an alternative to declining non-renewable fuels. However, due to its recalcitrant nature, it requires pre-processing to convert it into valuable products like energy and chemicals. Biorefineries play a key role in this process by promoting the integral use of biomass, by finding ways to utilize lignin, previously treated as waste. Common pretreatment methods are unsustainable, prompting research into eco-friendly solvents and advanced techniques like ultrasound- and microwave-assisted methods. Recent approaches have also explored the use of eutectic solvents, which, when combined with these intensification techniques, offer promising results. These green technologies improve delignification efficiency, which in turn improves the saccharification process, reduces solvent use, and minimizes environmental impact. Despite progress, challenges remain in making these methods economically viable and adaptable to diverse biomass types. This review article highlights recent advances in sustainable treatment technologies, including the combined use of eutectic solvents and process-intensification techniques, and the potential of the obtained lignin in various industrial applications. It also discusses future prospects for more environmentally friendly processes in biomass utilization.
A Study on a Novel Production Forecasting Method of Unconventional Oil and Gas Wells Based on Adaptive Fusion
Authors: Hou Dongdong , Han Guoqing , Chen Shisan , Zhang Shiran , Liang Xingyuan
Published: November 2024

Reliable forecasting of unconventional oil and gas well production has consistently been a hot and challenging issue. Most existing data-driven production forecasting models rely solely on a single methodology, with the application effects of other mainstream algorithms remaining unclear, which to some extent hinders the generalization and utilization of these models. To address this, this study commences with data preparation and systematically develops a novel forecasting model based on the adaptive fusion of multiple mainstream data-driven algorithms such as random forest and support vector machine. The validity of the model is verified using actual production wells in the Marcellus. A comprehensive evaluation of multiple feature engineering extraction techniques concludes that the main controlling factors affecting the production of Marcellus gas wells are horizontal segment length, fracturing fluid volume, vertical depth, fracturing section, and reservoir thickness. Evaluation models based on these primary controlling factors reveal significant differences in prediction performance among mainstream data-driven methods when applied to the dataset. The newly developed model based on adaptive fusion optimized by genetic algorithms outperforms individual models across various evaluation metrics, which can effectively improve the accuracy of production forecasting, demonstrating its potential for promoting the application of data-driven methods in forecasting unconventional oil and gas well production. Furthermore, this will assist enterprises in allocating resources more effectively, optimizing extraction strategies, and reducing potential costs stemming from inaccurate predictions.
Biodegradation of Polyethylene Using Bacillus tropicus Isolated from Sewage Wastewater Treatment Plant
Authors: Isha  , Ali Shakir , Chang Young-Cheol
Published: November 2024

One of the most pressing environmental problems contemporary civilizations confront is the ever-increasing amount of plastic waste. Because of their impact on every living thing, these wastes are seen as a major issue on a global scale. To counteract the harmful environmental effects caused by conventional disposal methods, it is critical to show that eco-friendly alternatives are viable. Biodegradation is one of the best eco-friendly methods for removing plastic waste. In this study, we aimed to identify bacteria from sewage wastewater treatment plants (SWWs) that could degrade low-density polyethylene (LDPE). Bacterial strains isolated from sewerage wastewater were incubated for 120 days in 50 mL of minimal salt media (MSM) containing 60 mg of low-density polyethylene (LDPE). After four months, our research revealed that Bacillus tropicus (SH4) demonstrated significant potential, degrading the LDPE up to 21.6%. We observed the changes after biodegradation using FTIR, GC-MS, and SEM analysis. In conclusion, microorganisms extracted from sewage wastewater possess the ability to mitigate plastic contamination in aquatic ecosystems. Future proteomics and genome investigations are necessary to elucidate the enzymes and metabolic processes implicated in plastic breakdown.
The Saturation Calculation of NMR Logging Based on Constructing Water Spectrum Function
Authors: Liu Yongfu , Deng Rui , Luo Shenchao , Li Hong , Zhang Lei , Gan Lixiong
Published: November 2024

Tight sandstone oil reservoirs are characterized by complex structures, poor pore connectivity, and strong heterogeneity, with features such as low porosity and ultra-low permeability. Conventional methods for calculating saturation cannot accurately evaluate the hydrocarbon saturation of these reservoirs. To address this, a study was conducted from the perspective of non-electrical logging methods, focusing on the inherent nuclear magnetic resonance (NMR) characteristics of different fluids to develop a saturation calculation method that avoids the influence of the rock matrix, thus enabling precise saturation measurement in tight sandstone oil reservoirs. The traditional NMR porosity model was modified by segmenting it using the clay-bound water cutoff value, aiming to identify the distribution pattern of fluids in pores outside the clay-bound water zone. Through theoretical derivation and water spectrum function simulation, a water spectrum function and its parameter range suitable for the NMR T2 distribution in tight sandstone reservoirs were determined. Using core-sealed core saturation as a reference, the particle swarm optimization (PSO) algorithm was applied to optimize the parameter range and construct the final water spectrum function tailored to tight sandstone oil reservoirs. The accuracy and practicality of this method were validated by applying the derived water spectrum function to NMR logging in the exploration block, allowing for precise saturation calculations and the accurate evaluation of tight reservoir saturation.
Enhancing the Predictability of Wintertime Energy Demand in The Netherlands Using Ensemble Model Prophet-LSTM
Authors: van de Sande Susan N. P. , Alsahag Ali M. M. , Mohammadi Ziabari Seyed Sahand
Published: November 2024

Energy demand forecasting is crucial for maintaining stable and affordable energy supplies, especially for vulnerable populations most affected by shortages and high costs. In the Netherlands, transmission system operator TenneT has raised concerns about potential electricity shortages by 2030. Rising energy prices and the impact of climate change on the energy demand further complicate today’s energy market. Policymakers lack clear insights into demand patterns, which complicates the optimization of energy use and the protection of at-risk communities. Accurate and timely forecasts are essential for addressing these issues and supporting sustainable energy management. This research focuses on enhancing the accuracy and lead time of wintertime energy demand forecasts in the Netherlands using advanced machine learning. The ensemble model Prophet-LSTM is trained on hourly load consumption data combined with climate change-related and energy price predictors. The results demonstrate significant improvements over baseline models, achieving a Pearson correlation coefficient of r=0.93 compared to r=0.50 in prior studies, as well as accurate forecasts up to 180 days ahead, compared to 2 months. Incorporating climate change-related predictors is challenging due to multicollinearity, highlighting the importance of careful predictor selection. Including energy price predictors yielded modest yet hopeful results, suggesting their ability to optimize energy demand forecasting.
Development of an FEM for the Combined Electromagnetic and Hydraulic Forming Process Based on Experimental Data
Authors: Jang Yoonho , Kim Jeong
Published: November 2024

Electrohydraulic forming (EHF) which demonstrates reduced bouncing effect, formation in narrow areas, and no effect on the electrical conductivity of the blank can overcome the shortcomings of deep drawing and electromagnetic forming. However, considerable time is involved in evaluating the possibility of forming a specific part through experiments. Developing an accurate finite element model can reduce the opportunity costs of an experiment by reducing unnecessary trial and error in forming a specific part. In this study, the chamber, die, and blank components of the EHF experimental equipment in our laboratory were reverse-modeled using CATIA V5R18. Subsequently, the IGES format of the components was imported into LS-DYNA R12, and an FEM model to simulate the EHF experiment was constructed. The experimental and simulation results of nine cases, based on the SUS430 material, input voltage, and blank thickness, were compared for model verification. The forming results for all cases in the constructed finite element analysis model nearly matched the experimental results. Moreover, the linear increase in the blank thickness with input voltage and thickness was simultaneously confirmed. In a computing environment using a 4.3 GHz, 24-Core CPU and 64 GB memory, the time required for one finite element analysis was approximately 1 h.
Utilizing Dairy Waste Processing for Organic Agricultural Production: A Sustainable Approach to Producing Organic Goods
Authors: Shamsuddoha Mohammad , Nasir Tasnuba
Published: November 2024

Resources are limited. Thus, farmers worldwide are trying to use their waste to best extract value that can promote environmentally friendly farming. Recycling dairy waste for organic cultivation seems to be one of the alternative approaches to pursuing environmentally friendly agriculture. This study investigates whether or not dairy waste treatment could improve organic crop production and promote a circular economy. This endeavor examines the credible benefits, obstacles, and consequences of incorporating dairy waste into organic farming practices. Using System Dynamics and case study approaches, including field trials, agricultural evaluation of data, and discussions with stakeholders, the research strategy advocates investigating how dairy waste-derived fertilizers influence soil fertility, crop productivity, and product quality. Interaction with stakeholders helps evaluate the viewpoints of growers, dairy producers, legislators, and consumers regarding adopting dairy waste treatment for organic agricultural growth. This study demonstrates how dairy waste processing can serve as a significant source of biofertilizer for organic farming. The beneficial impact of organic fertilizer derived from farm waste improves the nutritional value of organic crops, crop yield, and soil health. The crop production information collected in the study demonstrates that dairy waste-derived fertilizers are nutrient-dense and could substitute for manufactured/chemical fertilizers economically and environmentally. This study emphasizes the need for creative ideas to improve agricultural sustainability. The present study advances the understanding of sustainable agriculture and offers practical advice to those looking to use greener methods of operation.
Dissident Blood: Neo-Santeria in Barcelona and the Refusal of Sacrifices
Authors: Pons-Raga Marta
Published: November 2024

This article explores the emergence and development of Neo-santeria in Barcelona, a contemporary trend of Afro-Cuban religious practices characterized by the rejection of animal sacrifice, a central ritual in traditional Santeria. The study identifies and analyzes four key arguments employed by Neo-santeros to legitimize this rejection within the secular and modern European context: the scientistic, de-traditionalist, individualistic, and ecologist arguments. Drawing on over a decade of ethnographic research, the article demonstrates how Neo-santeros navigate the tension between distancing themselves from certain traditional spiritual roots—particularly the practice of animal sacrifice—and the intertwining with European and contemporary cultural logics, particularly those related to secularism. The article situates Neo-santeria within the broader landscape of European holistic spiritualities, highlighting its strategic positioning as a religion that aligns with and challenges secularist expectations in modern Europe. The findings contribute to a deeper understanding of how Afro-Cuban religions, particularly Neo-Santería, can be defined by the ongoing creativity of their practitioners. This distinctive feature not only defines the fluid nature of these traditions but also contributes to the diversification and increased complexity of the spiritual landscape in European contexts, where Afro-Cuban practices are being intertwined in local cultural and religious frameworks.
Developing Guidelines for Azolla microphylla Production as Compost for Sustainable Agriculture
Authors: Thepsilvisut Ornprapa , Srikan Nuengruethai , Chutimanukul Preuk , Marubodee Rusama , Ehara Hiroshi
Published: November 2024

Azolla is a substitute compost that has the potential to enhance nutrient cycling in agricultural systems for sustainable development. In this study, four experiments were conducted to compare the Department of Agriculture (DOA, Thailand)’s methodology for determining the suitable type and rate of animal manure and the optimal light intensity for the growth and yield of Azolla (Azolla microphylla). The results revealed that applying 100% pig manure gave the highest yield of Azolla compared to the other manures. However, there was no discernible (p > 0.05) difference in yield across the various doses (20.16, 30.16, and 40.16 gN m−2) of pig manure treatments, for which the minimal pig manure dosage of 20.16 gN m−2 was chosen. For further experimentation in the optimal light intensity, the 40% shading gave the highest yield of Azolla compared to no shading or 20 and 60% shading (p ≤ 0.01). When compared with the DOA Thailand methodology (1.27 kg m−2 of cow manure and covered with a size 32 mesh net), the findings indicated that the modified method (20.16 gN m−2 of pig manure + 40% shading) gave a 16% greater Azolla yield than that under the DOA Thailand methodology. The current finding method can produce a monthly fresh biomass of A. microphylla of 40.7 t ha−1 year−1 with higher contents of total N (4.92%) and lower C:N ratio (≤10:1) that could release minerals relatively rapidly. Its use can be encouraged by farmers to produce their own ecofriendly biofertilizer or soil amendment for sustainable agriculture.
Water Quality of Rainwater Harvesting Systems and Acceptance of Their Reuse in Young Users: An Exploratory Approach
Authors: Vidal Pablo , Leiva Ana María , Gómez Gloria , Salgado Marcela , Vidal Gladys
Published: November 2024

The main objective of this study is to evaluate the water quality of different rainwater harvesting (RWH) systems and the social acceptance of their reuse in young users as an exploratory approach. Three RWH systems were implemented, and the quality of harvested rainwater was evaluated focusing on physicochemical and in situ parameters. Social acceptance was studied in one of the RWH systems using an adapted technology acceptance model. An informative talk about the operation of RWH was given to the users, who were students from a rural primary school. Surveys were conducted before and after the talk to evaluate the impact of providing information to users. The social acceptance was studied in one of the RWH systems. The results indicated that the harvested rainwater from RWH systems was suitable for reuse in agriculture despite the increase in turbidity and chloride concentrations in the outlet tap. The concentration of turbidity, phosphate as phosphorus, chloride and nitrate ranged between 0.8 and 1.9 NTU, 0.01–0.2 mg/L, 2.8–5.0 mg/L and 0.3–0.9 mg/L, respectively. In the acceptance study, the survey results and correlation analyses showed that providing information to users is crucial for increasing the acceptance of RWH systems. Moreover, this study demonstrated that RWH systems are a viable alternative technology for reusing and supplying water in arid and semiarid areas.