bluuebunny/crossref_metadata_2025 huggingface dataset:
A systematic literature review and case study on the social impact of the other women’s contributions to education and dialogic feminism
Authors: Ruiz-Eugenio Laura , Valls-Carol Rosa , Flecha Ainhoa , Aubert Adriana
Published: December 2024

Feminism has been one of the most important social movements of the last centuries. Current societies have widely recognized their contributions. However, whereas ethnic diversity has been included in the movement, diversity in terms of academic background has not. Therefore, the contributions made by the “other women” from their daily lives, those with no university education (who belong to cultural minorities or not), remain on the margins of public debate. In the face of this reality, the plurality of all women has been building contributions to education and dialogic feminism. Based on Lidia Puigvert’s previous study on dialogic feminism and the “other women” movement, this article aimed to trace the social impact of “other women’s” contributions to education and dialogic feminism in their lives and communities. A qualitative case study has been developed that collects a systematic literature review, in-depth interviews with educators, focus groups, and communicative daily life stories with women who have participated in Schools as Learning Communities and democratic adult education associations in Spain over the last 20 years. The results provided evidence about the contributions of the “other women” in the development and expansion of successful educational actions that have generated social and educational transformations in themselves, their families, and their communities, such as Dialogic Gatherings and the prevention of gender violence, among others.
Enhancing recovery and reducing inflammation: the impact of enhanced recovery after surgery recommendations on inflammatory markers in laparoscopic surgery—a scoping review
Authors: Alves Bersot Carlos Darcy , Ferreira Gomes Pereira Lucas , Goncho Victor Gabriel Vieira , Pereira José Eduardo Guimarães , Falcão Luiz Fernando dos Reis
Published: December 2024

Introduction

The relationship between the Enhanced Recovery After Surgery (ERAS) guidelines and inflammatory markers in laparoscopic surgery has garnered increasing attention. These recommendations are designed to minimize surgical stress and potentially improve recovery outcomes by modifying perioperative care.

Objective

This scoping review aims to evaluate the impact of ERAS recommendations on inflammatory markers in patients undergoing laparoscopic surgeries, identifying current research gaps and consolidating findings from existing studies.

Methods

Guided by the Cochrane Handbook for Systematic Reviews and adhering to the PRISMA-ScR guidelines, this review analyzed studies from databases like PubMed, Scopus, and Cochrane Library. We included both randomized controlled trials and observational studies that assessed inflammatory markers such as C-reactive protein (CRP), white blood cells (WBC), and Interleukin-6 (IL-6) in laparoscopic surgery patients managed with ERAS recommendations.

Results

Out of 64 initial studies, 7 met the inclusion criteria, involving a total of 2,047 patients. Most of the studies focused on laparoscopic colorectal surgeries. Commonly assessed markers were CRP and WBC. The findings consistently showed that ERAS guideline could mitigate the inflammatory response, evidenced by reduced levels of CRP and IL-6, which correlated with fewer postoperative complications and expedited recovery.

Conclusion

ERAS recommendations appear to beneficially modulate inflammatory responses in laparoscopic surgery, which suggests a potential for enhanced recovery outcomes. However, the evidence is currently limited by the small number of studies and inherent methodological biases. Further robust RCTs are required to strengthen the evidence base and refine these protocols for broader clinical application.

Systematic Review Registration

https://osf.io/tj8mw/
Effectiveness of spinal cord stimulation in diabetic patients with chronic limb-threatening ischemia: small cohort study
Authors: Cyrek Anna E. , Koch Dietrich , Pacha Arkadius , Radunz Sonia
Published: December 2024

Background

Chronic limb-threatening ischemia (CLTI) is the most severe form of peripheral artery disease (PAD). Patients with diabetes mellitus (DM) have a faster progression of PAD and a fourfold increased risk of CLTI compared to patients without DM. Epidural spinal cord stimulation (SCS) has been used as a method to improve microcirculation, relieve ischemic pain and reduce the number of amputations in patients with PAD. This is a retrospective small cohort analysis of patients with diabetes and the long-term treatment effect of spinal cord stimulation.

Methods

As the main outcome of the study, we evaluated the survival and amputation of 13 diabetic patients with chronic lower-limb ischemia who were not eligible for surgical or interventional therapy. Secondary outcomes included ankle-brachial index (ABI), ischemic pain intensity, quality of life, use of analgesic medications and skin wound outcomes analyzed during long-term follow-up.

Results

Between January 2010 and January 2017, 13 patients underwent SCS implantation in our vascular center. At 1-year follow-up, the limb salvage rate was 92.3% (12 of 13 patients), and limb ulcers healed in 75% of patients (6/8). No patient died during the one-year follow-up. A total of 4 of patients (31%) experienced major amputation during long-term follow-up, all of them were Fontaine stage IV. Pain intensity and quality of life improved significantly at 6-month follow-up (p < 0.05). ABI measurements were unaffected by SCS treatment. There were no complications related to the procedure or device.

Conclusions

SCS is a promising treatment option for diabetic patients unsuitable for endovascular or surgical revascularization. The method improves limb survival in diabetic patients with critical limb ischemia, provides significant pain control, and improves patients' quality of life. However, more studies are needed to clarify the indications for SCS and clarify its effects on the vascular system.
Canine medial retropharyngeal lymph node measurements on T2 spin-echo sequences at 3T
Authors: DuPont Emily B. , Boudreau Elizabeth
Published: December 2024

Introduction

The objective of this study is to estimate reference values for medial retropharyngeal lymph nodes (MRLNs) measured in high-field (3T) MRI studies of the canine head/brain using transverse T2 spin-echo images and to determine if dogs with structural brain disease exhibit medial retropharyngeal lymph nodes that are larger than expected from estimated reference values.

Methods

The study population comprises 142 MRLNs from 71 dogs with no evidence of structural brain disease and normal CSF evaluation and 116 MRLNs from 58 dogs with structural brain disease confirmed by histopathology as of infectious or neoplastic origin, or to represent meningoencephalitis of unknown etiology.

Results

Based on this sample, MRLNs are expected to measure 2.9–12.4 mm in maximum short-axis transverse diameter. Interobserver measurement differences are ~1 mm in 95% of the sampled subjects. Lymph node size is correlated with body weight (R = 0.47–0.52) and age (R = −0.39 – −0.47).

Discussion

No difference was found between the lymph node size of dogs with structural brain disease of any type, or overall, compared to that of dogs without structural brain disease.
Canis lupus familiaris and diclofenac: understanding the potential risks of this association
Authors: Lohmann-Menezes Bruna , Giarolla Jeanine , da Silva-Santos Yasmin , Petri Giuliana , Epiphanio Sabrina
Published: December 2024

In many homes worldwide, dogs are considered part of the family. Every possible care is given to animals, including drug treatments. However, many animal guardians, in an attempt to minimize pain or improve the quality of life of their dogs, provide drugs without a veterinarian’s prescription. Diclofenac, a non-steroidal anti-inflammatory drug that acts on cyclooxygenase-1 and cyclooxygenase-2 enzymes, is associated with several adverse events, especially related to the gastrointestinal tract, both in humans and pet animals. Therefore, the availability of information about the effects of this drug in different species is always essential. This narrative review aims to present adverse reactions the domestic dog (Canis lupus familiaris) can suffer when exposed to diclofenac. Scientific publications, books, and case reports were consulted, and inquiries were also carried out with regulatory agencies. Many reports of suspected adverse reactions, especially related to the gastrointestinal tract, were found. Other clinical manifestations and lesions were also identified in the cardiovascular system, liver, kidneys, and hematological examinations. Therefore, diclofenac may constitute a hazard to dogs, mainly due to possible damage to the gastrointestinal tract. This fact reinforces the need to seek veterinary advice before providing any drug to animals, in addition to recommendations on ensuring the correct storage of medications to avoid accidental exposure.
YOLO-Wheat: A More Accurate Real-Time Detection Algorithm for Wheat Pests
Authors: Liu Yongkang , Wang Qinghao , Zheng Qi , Liu Yong
Published: December 2024

As a crucial grain crop, wheat is vulnerable to pest attacks throughout its growth cycle, leading to reductions in both yield and quality. Therefore, promptly detecting and identifying wheat pests is essential for effective pest management and to guarantee better wheat production and quality. Wheat pests exhibit considerable diversity and are often found in complex environmental contexts. Intraspecies variation among wheat pests can be substantial, while differences between species may be minimal, making accurate pest detection a difficult task. We provide an enhanced algorithm, YOLO-Wheat, based on YOLOv8, to solve the aforementioned issues. The proposed YOLO-Wheat, an extension of YOLOv8, integrates SimAM into the C2f module to enhance feature extraction capabilities. Additionally, a novel feature fusion technique, CGconcat, is introduced, which enhances fusion efficiency by applying channel weighting to emphasize critical feature information. Moreover, the EMA attention mechanism is implemented before the detection head to preserve feature information through multipath processing, thereby addressing detection challenges posed by pests of varying sizes. Experiments revealed that YOLO-Wheat achieved an mAP@0.5 of 89.6%, reflecting a 2.8% increase compared to its prior performance. Additionally, mAP@0.5:0.95 reached 46.5%, marking a 1.7% improvement. YOLO-Wheat also performs better than other popular object detection algorithms (YOLOv5, YOLOv10, RT-DETR), and the model is successfully deployed for simple real-time detection. These results demonstrate that YOLO-Wheat can achieve real-time high-precision detection for wheat pests.
Exploring Chinese Millennials’ Minimalist Consumption Behavior in the Context of Global Economic Downturn: A PLS-SEM Analysis Based on Symbolic and Simulacrum Consumption Perception
Authors: Lu Ya , Zhang Tian , Xu Zhiguo
Published: December 2024

In the context of a global economic downturn, Millennials—who represent the emerging primary consumer demographic—are increasingly adopting a minimalist consumption model. To understand this phenomenon, this study employed a partial least squares structural equation modeling (PLS-SEM) analysis of 554 survey responses from Chinese Millennials. Building on the Theory of Reasoned Action, we explored the effects of consumption orientation, perceived economic pressure, self-expression, and perceived consumption risk on symbolic and simulacrum consumption perceptions. Furthermore, we investigated how these perceptions shape minimalist consumption awareness and behavior. The findings indicate the following: (1) consumption orientation significantly and positively influences symbolic consumption perception; (2) self-expression and perceived consumption risk positively affect both symbolic and simulacrum consumption perceptions; (3) symbolic consumption perception has a positive impact on minimalist consumption awareness; and (4) upward social comparison exerts a significant negative moderating effect on the relationship between minimalist consumption awareness and behavior. This study is the first to integrate symbolic and simulacrum consumption into the analytical framework of Millennials’ minimalist consumption behavior, shedding light on the nuanced relationship between self-expression and consumption behavior under economic pressure. The findings contribute a novel theoretical perspective for future research on minimalist consumption and offer practical insights for businesses aiming to devise effective marketing strategies amidst economic challenges.
Minimally Invasive Versus Open Distal Gastrectomy for Locally Advanced Gastric Cancer: Trial Sequential Analysis of Randomized Trials
Authors: Aiolfi Alberto , Calì Matteo , Cammarata Francesco , Grasso Federica , Bonitta Gianluca , Biondi Antonio , Bonavina Luigi , Bona Davide
Published: December 2024

Background. Minimally invasive distal gastrectomy (MIDG) has been shown to be associated with improved short-term outcomes compared to open distal gastrectomy (ODG) in patients with locally advanced gastric cancer (LAGC). The impact of MIDG on long-term patient survival remains debated. Aim was to compare the MIDG vs. ODG effect on long-term survival. Methods. Systematic review and trial sequential analysis (TSA) of randomized controlled trials (RCTs). Web of Science, Scopus, MEDLINE, the Cochrane Central Library, and ClinicalTrials.gov were queried. Hazard ratio (HR) and 95% confidence intervals (CI) were used as pooled effect size measures. Five-year overall (OS) and disease-free survival (DFS) were primary outcomes. Results. Five RCTs were included (2835 patients). Overall, 1421 (50.1%) patients underwent MIDG and 1414 (49.9%) ODG. The ages ranged from 48 to 70 years and 63.4% were males. The pooled 5-year OS (HR = 0.86; 95% CI 0.70–1.04; I2 = 0.0%) and 5-year DFS (HR = 1.03; 95% CI 0.87–1.23; I2 = 0.0%) were similar for MIDG vs. ODG. The TSA shows a cumulative z-curve without crossing the monitoring boundaries line (Z = 1.96), thus suggesting not conclusive 5-year OS and DFS results because the total information size was not sufficient. Conclusions. MIDG and ODG seem to have equivalent 5-year OS and DFS in patients with LAGC. However, the cumulative evidence derived from the TSA showed that the actual information size is not sufficient to provide conclusive data.
Desmoplastic Small Round Cell Tumors of the Gastrointestinal Tract
Authors: Gonzalez Jeffrey , Ocejo Stephanie , Iribarren Mercy , Abreu Alvaro , Bahmad Hisham F. , Poppiti Robert
Published: December 2024

Desmoplastic small round cell tumors (DSRCTs) of the gastrointestinal (GI) tract are a rare and highly aggressive variant of soft tissue sarcomas, predominantly affecting the abdominal region. These tumors are believed to originate from multipotent mesenchymal stem cells or primitive progenitor cells. They are composed of small round tumor cells associated with prominent stromal desmoplasia, polyphenotypic differentiation, and EWSR1::WT1 gene fusion. Diagnostically, DSRCTs present a significant challenge due to their histological resemblance to other small round cell tumors, such as Ewing sarcoma and rhabdomyosarcoma, necessitating the use of ancillary tests, including immunopanels and molecular analysis, to reach a definitive diagnosis. Immunohistochemical staining, including markers like cytokeratin, vimentin, desmin, and WT1, has proven valuable in differentiating DSRCTs from their mimickers. The prognosis of these tumors is highly dependent on factors such as tumor location and stage at diagnosis, and given their aggressive nature, a multidisciplinary approach may be required that combines surgical resection, chemotherapy, and radiation therapy, among other options. In this review, we provide a synopsis of the pathophysiology of DSRCTs and the latest diagnostic advancements, including the utility of molecular profiling and novel biomarkers.
Hemorrhagic PitNets Are Associated with Previous Vascular Events and Result in Worse Endocrine Outcome
Authors: Hounchonou Harold F. , Lang Josef M. , Döring Katja , Terkamp Christoph , Leitolf Holger , Al-Afif Shadi , Hermann Elvis J. , Hartmann Christian , Krauss Joachim K.
Published: December 2024

Background: Pituitary apoplexy is a potentially life-threatening condition that most often results from hemorrhage into a preexisting pituitary neuroendocrine tumor (PitNet) presenting with acute headache, visual impairment and endocrine dysfunction. Here, we aimed to identify factors associated with hemorrhage and present the pituitary hormonal status before and after transnasal-transsphenoidal tumor removal in a comparative study design. Methods: A series of 100 patients with PitNet were analyzed. We compared demographic data (age, sex, BMI), comorbidities, tumor volume and neuropathological findings between patients who presented with hemorrhagic PitNet (H-PitNet) and those with non-hemorrhagic PitNet (NH-PitNet). Furthermore, we compared the axis-specific hormonal status between both groups at admission and after microsurgical tumor removal and analyzed the overall endocrine outcome in both groups. Results: A total of 22 patients presented with hemorrhagic PitNet. There were no differences in age, sex, BMI, tumor volume, smoking status or diabetes status between patients with H-PitNet and those with NH-PitNet. H-PitNet was strongly associated with necrotic areas (p < 0.0001). Corticotropic PitNet was slightly overrepresented in H-PitNet (p = 0.04). Arterial hypertension was more frequent in patients with H-PitNet (p = 0.009). The presence of hypopituitarism in each axis at admission and after surgery was comparable between the two groups. In total, there were fewer recovering axes (p = 0.03) and more axes with persistent deficiency (p = 0.01) in the H-PitNet group after surgery. Conclusions: H-PitNet is associated with previous vascular event (ischemia or hemorrhage) and the presence of arterial hypertension and results in worse endocrine outcome. Early surgery should be considered in patients with PitNet and arterial hypertension.
Tumor Biomechanics-Inspired Future Medicine
Authors: Dong Yuqing , Lu Mengnan , Yin Yuting , Wang Cong , Dai Ningman
Published: December 2024

Malignant tumors pose a significant global health challenge, severely threatening human health. Statistics from the World Health Organization indicate that, in 2022, there were nearly 20 million new cancer cases and 9.7 million cancer-related deaths. Therefore, it is urgently necessary to study the pathogenesis of cancer and explore effective diagnostic and treatment strategies. In recent years, research has highlighted the importance of mechanical cues in tumors, which have become a new hallmark of cancer and a key factor in regulating tumor behavior. This suggests that studying the mechanical properties of tumors may open potential new avenues for understanding the pathogenesis, diagnosis, and therapeutic intervention of cancer. This review summarizes the mechanical characteristics of tumors and the development of tumor diagnostics and treatments targeting specific mechanical factors. Finally, we propose new ideas and insights for the application of mechanomedicine in cancer diagnosis and treatment in the future.
HDAC Inhibitors Can Enhance Radiosensitivity of Head and Neck Cancer Cells Through Suppressing DNA Repair
Authors: Antrobus Jennifer , Mackinnon Bethany , Melia Emma , Hughes Jonathan R. , Parsons Jason L.
Published: December 2024

Background/Objectives: The incidence of head and neck squamous cell carcinoma (HNSCC), currently ~800,000 cases per year worldwide, is rising. Radiotherapy remains a mainstay for the treatment of HNSCC, although inherent radioresistance, particularly in human papillomavirus (HPV)-negative disease subtypes, remains a significant barrier to effective treatment. Therefore, combinatorial strategies using drugs or inhibitors against specific cellular targets are necessary to enhance HNSCC radiosensitivity to lead to an improvement in patient outcomes. Given that radiotherapy acts through targeting and damaging DNA, a common strategy is to focus on enzymes within DNA-dependent cellular pathways, such as DNA damage repair. Methods: Here, we have employed a 3D spheroid model of HNSCC (FaDu) in combination with a targeted drug screen to identify novel radiosensitisers that suppress tumour growth. Results: We identified that histone deacetylases (HDACs) were prominent candidates, and subsequently identified that the HDAC inhibitors mocetinostat and pracinostat, as well as the combined HDAC–epidermal growth factor receptor inhibitor CUDC-101, were effective at radiosensitising cell models of HNSCC (FaDu, A253, UMSCC11b) through their impact on both spheroid growth and clonogenic survival assays. We also demonstrated that this combinatorial strategy leads to inhibition of the repair of DNA double-strand breaks through the neutral comet assay and γH2AX foci analysis using immunofluorescence microscopy, providing a mechanism of action through which HDAC inhibition functions in HNSCC radiosensitisation. Conclusions: We believe that this approach should be further investigated in preclinical models, in order to realise the full therapeutic potential of HDAC inhibition for the radiosensitisation of HNSCC, eventually leading to improved patient treatment efficacy and outcomes.
The Circadian Rhythm of Intracellular Protoporphyrin IX Accumulation Through Heme Synthesis Pathway in Bladder Urothelial Cancer Cells Exposed to 5-Aminolevulinic Acid
Authors: Nishimura Nobutaka , Miyake Makito , Onishi Sayuri , Tomizawa Mitsuru , Shimizu Takuto , Onishi Kenta , Hori Shunta , Morizawa Yosuke , Gotoh Daisuke , Nakai Yasushi , Tanaka Nobumichi , Fujimoto Kiyohide
Published: December 2024

Background/Objectives: The standard recommendation for patients with non-muscle invasive bladder cancer is 5-aminolevulinic acid-mediated photodynamic diagnosis. The intensity of the fluorescence caused by the intracellular accumulation of protoporphyrin IX (PPIX) varies among tumors and patients. This study investigated the circadian rhythm of intracellular PPIX accumulation in bladder urothelial cancer cells exposed to 5-aminolevulinic acid. Methods: The expression of two clock genes, PER2 and BMAL1, and their impact on intracellular PPIX accumulation were evaluated in two bladder cancer cell lines, UM-UC-3 and J82, and mouse xenograft models. We evaluated the enzymes involved in the heme synthesis pathway that potentially affect the circadian rhythm of intracellular PPIX accumulation. The red fluorescence intensity of the images captured during photodynamic diagnosis-assisted transurethral resection of bladder tumors was quantified and compared among the four groups according to surgery start time: 9 a.m.–11 a.m., 11 a.m.–1 p.m., 1–3 p.m., and 3–5 p.m. Results: We observed the circadian rhythm of intracellular PPIX accumulation, which was potentially regulated by the clock genes PER2 and BMAL1. Two enzymes involved in the heme synthesis pathway, coproporphyrinogen oxidase and ferrochelatase, exhibit a circadian rhythm. The fluorescence intensity started gradually increasing at 12 p.m., and the highest level was observed in patients who underwent surgery between 3 and 5 p.m. Conclusions: Our findings suggest that it may be possible to optimize the timing of the photodynamic diagnosis in photodynamic diagnosis-assisted transurethral resection of bladder cancer based on the circadian rhythm to improve tumor detection and treatment outcomes.
Oncologic Outcomes in Patients with Localized, Primary Head and Neck Synovial Sarcoma
Authors: Patel Riddhi R. , Gopalakrishnan Vancheswaran , Amini Behrang , Lazar Alexander J. , Lin Patrick P. , Benjamin Robert S. , Bishop Andrew J. , Goepfert Ryan P. , Araujo Dejka M.
Published: December 2024

Background: this study aims to evaluate the survival outcomes of patients suffering from head and neck synovial sarcoma (HNSS), especially in relation to patients with a localized disease at diagnosis. Methods: this retrospective chart review includes 57 patients diagnosed with primary HNSS between 1981 and 2020 who presented with a localized disease at diagnosis. Overall survival (OS) from diagnosis, local recurrence-free survival (LRFS), and metastasis-free survival (MFS) from the end of the primary tumor treatment are estimated. The Kaplan–Meier method, the log-rank test, and the Cox proportional hazards regression are used. Results: the 5-year OS, LRFS, and MFS are estimated at 80.4% (95% CI: 66.6%, 88.9%), 67.7% (95% CI: 50.0%, 80.4%), and 50.6% (95% CI: 34.4%, 64.8), respectively. Compared to patients undergoing surgical resection alone, those receiving radiation therapy (RT) with surgery have better LRFS (HR: 0.03, 95% CI: 0.001, 0.57), and those undergoing neo/adjuvant chemotherapy with surgery and RT have better MFS (HR: 0.10, 95% CI: 0.01, 0.95). Moreover, among the patients with tumors ≥ 4 cm, those subject to neo/adjuvant chemotherapy have significantly better MFS (5-year MFS: 53.2%, 95% CI: 29.0%, 72.5%) than those treated with surgery and RT alone (5-year MFS: 20.0%, 95% CI: 0.8%, 58.2%) (LR-p = 0.003). Conclusions: overall, the prognosis of HNSS patients looks favorable. Perioperative RT significantly improves local control, and perioperative chemotherapy plays a vital role in delaying metastasis formation in patients with primary HNSS when diagnosed with a localized disease. Importantly, we recommend that systemic therapy should be considered for HNSS patients with tumors ≥ 4 cm.
Research Progress on Evaluating the Effectiveness and Safety of Transdermal Absorption of Cosmetics
Authors: Wang Meixuan , Zhang Lu , Zheng Linxin , Shi Jiayuan , Gao Hongxin , He Congfen , Song Liya
Published: December 2024

This review systematically summarizes research progress in the evaluation of the effectiveness and safety of the transdermal absorption of cosmetics, focusing on the classification, applicability, and relevant regulations of different evaluation methods. Transdermal absorption refers to the process in which active ingredients enter the epidermis, dermis, and other parts of the skin through the skin barrier and exert their effects. The article first classifies the in vitro and in vivo evaluation methods of transdermal absorption. It also provides a detailed overview of the regulations and standards for in vitro transdermal absorption, compares the standards of different institutions, and highlights the diffusion cell method, developed by scientists at Procter & Gamble, which is the mainstream method for in vitro testing. In addition, the paper summarizes the utilization of modern testing techniques such as high-throughput screening technology, mass spectrometry imaging, Raman spectroscopy, and confocal microscopy in the study of transdermal absorption and introduces the working principles of various instruments and their specific application cases in transdermal absorption studies.
Modelling the Prioritisation of Technical Objects Using the EPN Indicator
Authors: Powichrowska Oliwia , Wiercioch Jakub , Zwolińska Bożena
Published: December 2024

The objective of this article is to analyse and evaluate the effectiveness of predictive maintenance for machines performing key functions within a production structure. This article presents a methodology for determining the Equipment Priority Number (EPN), calculated based on parameters such as energy consumption, the criticality of machines in the value stream, and their impact on the continuity of the supply chain. The experimental implementation of a system for monitoring operational parameters—including current consumption, vibrations, and torque moments—enabled the prediction of potential failures and the planning of maintenance actions, which contributed to improving operational stability and reducing the risk of unplanned downtime. The obtained results confirm the effectiveness of the proposed methodology and demonstrate that a predictive maintenance system supported by the EPN indicator enables accurate prioritisation of maintenance activities in an actual production system. The findings also show that implementing the EPN algorithm allows for more precise prioritisation in highly customised production environments. Furthermore, the analysis of the collected data suggests the potential for further optimisation through the integration of data-driven diagnostics and artificial intelligence methods, which could enhance the efficiency and competitiveness of the system. This study’s conclusions provide a foundation for advancing predictive maintenance methods in industrial production.
Improving Energy Efficiency of School Buildings: A Case Study of Thermal Insulation and Window Replacement Using Cost-Benefit Analysis and Energy Simulations
Authors: Ranđelović Dušan , Jovanović Vladan , Ignjatović Marko , Marchwiński Janusz , Kopyłow Ołeksij , Milošević Vuk
Published: December 2024

This study demonstrates the benefits of comprehensive school building (SB) energy efficiency (EE) improvements through building envelope renovations, lighting upgrades, and changes to cleaner heat sources. The parametric study in the building energy simulation software was used to check the application of various interventions on the energy consumption of existing SBs while reducing CO2 emissions with the most profitable return on investment (ROI). The energy savings from window replacements did not correspond with expectations. However, other measures such as the wall, roof insulation, and lighting modernization improved EE by up to 152 kWh/m2 and 41 kg/m2 CO2/m2 annually. The study also points to a significant trade-off between district heating (which reduces CO2 but has a slower ROI) and other heating solutions. The results suggest that climate-specific insulation thickness and glazing type needs are required, and optimal insulation strategies are shown to improve EE by 48–56% and CO2 reductions of 45–56%. Lighting replacement and biogas boiler use were both impactful. The findings support the importance of sustainable practices, which should stimulate educational awareness and environmental responsibility. This research presents actionable insights for EE and sustainable development from within educational facilities.
Design and Analysis of Tubular Transverse Flux Permanent Magnet Linear Motor
Authors: Sun Guopeng , Zhao Mei , Li Jianjun , Yao Tong , Zhang Huaqiang
Published: December 2024

The electrical load and the magnetic load of the transverse flux permanent magnet linear motor (TFPMLM) are decoupled from each other, which makes it easy to achieve modularization, and it has broad application prospects in the field of low speed and high thrust. Firstly, the topology structure of a cylindrical TFPMLM is proposed, and its working principle is introduced. Secondly, the basic electromagnetic performance of the motor is studied. Thirdly, the influence of the structural parameters on the flux linkage, back-EFM, and cogging force has been analyzed by the 3D finite element method (FEM). Then, the kriging agent model is constructed through the DOE experiment, and a set of size parameters with better performance are found by using a multi-objective genetic algorithm. Finally, the prototype and experimental setup have been developed. The calculated results and the measured results are in good agreement.
Design of Energy Management Strategy for Integrated Energy System Including Multi-Component Electric–Thermal–Hydrogen Energy Storage
Authors: Peng Bo , Li Yunguo , Liu Hengyang , Kang Ping , Bai Yang , Zhao Jianyong , Nian Heng
Published: December 2024

To address the challenges of multi-energy coupling decision-making caused by the complex interactions and significant conflicts of interest among multiple entities in integrated energy systems, an energy management strategy for integrated energy systems with electricity, heat, and hydrogen multi-energy storage is proposed. First, based on the coupling relationship of electricity, heat, and hydrogen multi-energy flows, the architecture of the integrated energy system is designed, and the mathematical model of the main components of the system is established. Second, evaluation indexes in three dimensions, including energy storage device life, load satisfaction rate, and new energy utilization rate, are designed to fully characterize the economy, stability, and environmental protection of the system during operation. Then, an improved radar chart model considering multi-evaluation index comprehensive optimization is established, and an adaptability function is constructed based on the sector area and perimeter. Combined with the operation requirements of the electric–thermal–hydrogen integrated energy system, constraint conditions are determined. Finally, the effectiveness and adaptability of the strategy are verified by examples. The proposed strategy can obtain the optimal decision instructions under different operation objectives by changing the weight of evaluation indexes, while avoiding the huge decision space and secondary optimization problems caused by multiple non-inferior solutions in conventional optimization, and has multi-scenario adaptability.
Investments in Renewable Energy in Rural Communes: An Analysis of Regional Disparities in Poland
Authors: Kozera Agnieszka , Standar Aldona , Stanisławska Joanna , Rosa Anna
Published: December 2024

Although energy transformation is a widely discussed topic, there is a dearth of research on the role of rural communes in implementing that concept in Poland, a country where rural areas account for more than 90% of the total landmass. Most research projects are focused on larger local government units, such as cities, whereas rural communes’ role in the development of local energy policies and impact on the development of renewable energy sources (RESs) is often disregarded. Therefore, this study extends the existing literature resources with a view to bridging that gap by assessing rural communes’ investment activity in the context of the Polish energy transformation, with particular emphasis on regional differences in RES investments financed with Union funds. Therefore, the main purpose of this study is to assess the contribution of rural communes to the Polish energy transformation process, with a particular focus on regional differences in renewable energy investments financed with European Union funds in the successive seven-year financial perspectives 2007–2013 and 2014–2020. The study aimed to answer the following key research questions: how does the level of rural communes’ investment activities related to renewable energy development compare to that of other commune types? What are the regional differences in rural communes’ investment activities related to renewable energy? What are the main factors affecting rural communes’ investment activity in regions most involved in the development of renewable energies? The study relies on data from the Ministry of Development Funds and Regional Policy and from the Local Data Bank of the Central Statistical Office. The dataset was processed with the use of descriptive statistics methods and Ward’s method with a view to identifying regional patterns and conditions for the development of renewable energy investments. This study focuses on the investment activities of rural communes in Poland related to RESs financed with European Union funds. The empirical research results highlight rural municipalities’ crucial role in developing RES, emphasizing their high investment activity and significant regional differences. Municipalities from the eastern Polish provinces of Lublin and Podlasie have successfully secured EU funds for RES development. They have implemented numerous projects, primarily related to solar energy.
Highly Efficient Process for Producing a Jet-A1 Biofuel Component Through Hydroprocessing Soybean Oil over Ni and Pt Catalysts
Authors: Główka Marek , Wójcik Jan Krzysztof , Boberski Przemysław , Woszczyński Piotr Józef , Sabura Ewa
Published: December 2024

This study presents an efficient process for producing sustainable aviation fuel (SAF) from soybean oil through hydrodeoxygenation (HDO) and hydroisomerization (HI). The research utilized a commercial nickel catalyst for the HDO step, and a newly developed platinum catalyst supported on SAPO-11 zeolite for the hydroisomerization (HI) stage. The process parameters, including temperature and pressure, were optimized to maximize conversion efficiency and meet ASTM D7566 standards. The results indicate that the HDO process using the nickel catalyst achieved a high yield of n-alkanes (97.8% ± 0.4%) with complete conversion of triglycerides. In the subsequent hydroisomerization step, the platinum catalyst demonstrated excellent selectivity for Jet-A1 fuel, yielding a bio-jet fraction of 87.5% ± 1.6% in a 200 h continuous test. This study also highlights the minimal coking phenomena and high catalyst stability throughout the process. This work suggests that soybean oil, as a readily available feedstock, could significantly contribute to the production of SAF and reduce greenhouse gas emissions in the aviation sector. Additionally, the optimization of temperature and pressure conditions is crucial for enhancing the yield and quality of the final bio-jet product.
Advances in Renewable Energy Research and Applications
Authors: Dol Sharul Sham , Muhamad Amin Anang Hudaya , Hamdan Hasan
Published: December 2024

Renewable energy has emerged as a critical focus area for addressing the dual challenges of growing electricity demand and environmental sustainability [...]
Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning
Authors: Moghimi Seyed Morteza , Gulliver Thomas Aaron , Thirumarai Chelvan Ilamparithi , Teimoorinia Hossen
Published: December 2024

This paper examines Connected Smart Green Townhouses (CSGTs) as a modern residential building model in Burnaby, British Columbia (BC). This model incorporates a wide range of sustainable materials and smart components such as recycled insulation, Photovoltaic (PV) solar panels, smart meters, and high-efficiency systems. The CSGTs operate in grid-connected mode to balance on-site renewables with grid resources to improve efficiency, cost-effectiveness, and sustainability. Real datasets are used to optimize resource consumption, including electricity, gas, and water. Renewable Energy Sources (RESs), such as PV systems, are integrated with smart grid technology. This creates an effective framework for managing energy consumption. The accuracy, efficiency, emissions, and cost are metrics used to evaluate CSGT performance. CSGTs with one to four bedrooms are investigated considering water systems and party walls. A deep Machine Learning (ML) model combining Long Short-Term Memory (LSTM) and a Convolutional Neural Network (CNN) is proposed to improve the performance. In particular, the Mean Absolute Percentage Error (MAPE) is below 5%, the Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) are within acceptable levels, and R2 is consistently above 0.85. The proposed model outperforms other models such as Linear Regression (LR), CNN, LSTM, Random Forest (RF), and Gradient Boosting (GB) for all bedroom configurations.
Modelling and Analysis of Low and Medium-Temperature Pyrolysis of Plastics in a Fluidized Bed Reactor for Energy Recovery
Authors: Wikira Natalia , Bazooyar Bahamin , Gohari Darabkhani Hamidreza
Published: December 2024

With the growing demand for plastic production and the importance of plastic recycling, new approaches to plastic waste management are required. Most of the plastic waste is not biodegradable and requires remodeling treatment methods. Chemical recycling has great potential as a method of waste treatment. Plastic pyrolysis allows for the cracking of plastic polymers into monomers with heat in the absence of oxygen, allowing energy recovery from the waste. Fluidized bed reactors are commonly used in plastic pyrolysis; they have excellent heat and mass transfer. This study investigates the influence of low and medium process temperatures of pyrolysis on fluidized bed reactor parameters such as static pressure, fluidizing gas velocity, solid movement, and bubble formation. This set of parameters was analyzed using experimental methods and statistical analysis methods such as experimental correlations of changes in fluidized bed reactor velocities (minimal, terminal) due to temperature increases for different particle sizes; CFD software simulation of temperature impact was not found. In this study, computational fluid dynamics (CFD) analysis with Ansys Fluent was conducted for the fluidization regime with heat impact analysis in a fluidized bed reactor (FBR). FBR has excellent heat and mass transfer and can be used with a catalyst with low operating costs. A two-phase Eulerian–Eulerian model with transient analysis was conducted for a no-energy equation and at 100 °C, 500 °C, and 700 °C operating conditions. Fluidizing gas velocity increases the magnitude with an increase of the operating temperature. The point of fluidization could be determined at 1.1–1.2 s flow time at the maximum pressure drop point. With the increase of gas velocity (to 0.5 m/s from 0.25 m/s), fluidizing bed height expands but when the solid diameter is increased from 1.5 mm to 3 mm, the length of the fluidized region decreases. No pressure drop change was observed as the fluidized bed regime was maintained during all analyses. The fluidization regime depends on gas velocity and all the applied fluidization gas velocities were of a value in between the minimal fluidization velocity and the terminal velocity.
Exploration of the Spatiotemporal Characteristics and Driving Mechanisms of Vegetation Greenness Changes in Laos
Authors: Zhang Mingfeng , Peng Zongqi , Su Danni , Sun Run , Ma Lusha , Yang Xiaofang , Wang Quan , Yang Kun
Published: December 2024

In the context of climate change, vegetation changes in Laos have attracted widespread attention, especially the profound impact of its greenness changes on ecosystems, water cycles, and climate feedback. However, our understanding of the driving factors of vegetation greenness changes in different latitudes is still limited. This study utilized EVI and climate factor data from 2001 to 2023, employing trend analysis, correlation analysis, and machine learning methods to investigate the spatiotemporal patterns of vegetation greenness changes across Laos and their responses to climate factors. Results revealed an overall increasing trend in vegetation greenness, with 75% of the area exhibiting annual increases, primarily in northern, central, and parts of the southern regions. Conversely, 24.8% of the area experienced declines, concentrated near Vientiane and certain southern regions. Seasonal trends during the wet season largely aligned with annual patterns, although reduced rainfall negatively impacted some areas. The dry season exhibited the most pronounced changes, with 70% of the area showing increased greenness, especially in northern and central regions, despite localized rainfall constraints. Minimum temperature (TMMN) emerged as the most influential factor, with importance values of 0.42 for annual changes and 0.37 for dry season changes, while precipitation impacts varied across space and time. High temperatures affected vegetation more significantly in low-latitude regions, whereas high-latitude areas relied on changes in DSR. This significant finding underscores the differential impact of climate factors on vegetation greenness across latitudes, which is crucial for understanding the complex dynamics of tropical inland ecosystems under climate change and for developing targeted conservation and adaptation strategies.
Exploring Sustainable Innovation Level, Spatial Inequities, and Convergence Trends in China’s Wood Industry
Authors: Zhang Mengwan , Ma Yifei , Lu Wenyu , Ma Ning
Published: December 2024

The importance of sustainable innovation in the wood industry is growing, but there is a lack of comprehensive analysis of its evolution, regional differences, and patterns of convergence in China. Based on the panel data of 31 provinces in China from 2011 to 2021, the sustainable innovation index of the wood industry is measured by the projection pursuit method. On this basis, the kernel density estimation method and Dagum Gini coefficient are used to study the dynamic evolution trend, regional differences, and sources of the index, and the convergence characteristics are examined using the coefficient of variation method. The study shows that (1) China’s overall wood industry sustainable innovation index shows a decreasing trend from 2011 to 2021. (2) The differences in the four regions mainly come from inter-regional differences. (3) The index shows significant nonequilibrium characteristics and progressive evolution patterns, and the spatial agglomeration is significant. The magnitude of the index deviation from the average did not decrease over time for the northern and southwestern forest regions. (4) The wood industry sustainable innovation index of the four major forest regions has obviously converged to the same level; under the condition of considering multifactors differentiation, the growth rate of the index of the lower regions is significantly higher than that of the higher regions. The study concludes that current regional imbalances in sustainable innovation in China impede progress and equitable distribution of benefits in the wood industry, and that the impact of regional differences on the β-convergence of sustainable innovation varies according to specific regional characteristics and conditions. These findings provide important theoretical contributions and practical guidance for the development of targeted innovation strategies for the sustainable development of the wood industry, as well as for the promotion of balanced regional development.
The Roles of Phytohormones in Plant Defense Mechanisms Against the Brown Planthopper
Authors: Wang Huiying , Zha Wenjun , Huang An , Wu Yan , Shi Shaojie , Zhou Lei , You Aiqing
Published: December 2024

The brown planthopper (BPH; Nilaparvata lugens Stål) is the most significant insect pest compromising rice production globally. Phytohormones, which are small organic compounds produced by plants, play a crucial role in regulating plant growth and development. Nevertheless, extensive research has established that phytohormones are essential in modulating plant defense against BPH. Plants can achieve equilibrium between growth and defense by utilizing the intricate network of phytohormone signaling pathways to initiate optimal and efficient defensive responses to insects. In this review, we primarily address the roles of phytohormones in conferring resistance against BPH, with a focus on hormone cross-talk. We also discuss the potential value of integrating hormones with other agricultural practices to enhance plant defense and agricultural yield, which highlights the significance of novel approaches for environment-friendly insect pest management.