bluuebunny/crossref_metadata_2025 huggingface dataset:
Contribution of Ethiopian green legacy on fruit crop production: a review
Authors: Massrie Kelemu Dessie
Published: December 2024

The Ethiopian Green Legacy Initiative, launched in 2019, represents a pioneering effort in reforestation aimed at combating deforestation, restoring degraded landscapes, and enhancing environmental resilience. By the end of 2022, over 25 billion trees had been planted, with a target of 50 billion by 2030. This review explores the initiative’s impact on fruit crop production, focusing on improvements in soil fertility, water resources, and pollinator conservation. The review systematically collects and evaluates information from various sources to assess the initiative’s contributions to these areas. The initiative has significantly improved soil health, enhanced groundwater recharge, and created crucial habitats for pollinators, which have contributed to increased fruit crop yields and expanded production areas, particularly in regions like Oromia, SNNPR, and Amhara. Notable crops benefiting from these improvements include mangoes, avocados, citrus fruits, and bananas. However, the initiative faces challenges, including varying tree survival rates, climate-related impacts, and difficulties in policy integration. To ensure its long-term success, scaling up efforts, aligning the initiative with broader agricultural policies like the climate resilient green economy strategy, and investing in research on climate-resilient practices are essential to maximize the green legacy initiative’s potential to enhance Ethiopia’s food security, boost rural income, and support environmental sustainability.
Acoustical Traditions and Cultural Identity: Exploring Kunqu’s Contribution to Collective Memory
Authors: Ding Zihan , Aletta Francesco
Published: December 2024

Kunqu Opera, hailed as the “ancestor of all Chinese operas”, plays a crucial role in preserving cultural identity and collective memory in the Jiangnan region. This research examines the acoustical traditions of Kunqu. Through expert interviews and thematic analysis, the study explores key acoustic elements, including vocal techniques and musical structures, and their symbolic and emotional impact. Five central themes emerged, including Kunqu’s role in collective memory, its function as a cultural symbol, the evolution of its transmission, the emotional resonance of its acoustic elements, and the modern challenges and opportunities for preservation. The findings highlight the importance of maintaining Kunqu’s cultural identity within acoustical heritage, while also recognizing the need for innovation in its transmission. This research contributes to the broader discussion on intangible cultural heritage and provides insights into how traditional art forms like Kunqu can be preserved amidst modernization.
Objective Assessment of the Damage Caused by Oulema melanopus in Winter Wheat with Intensive Cultivation Technology Under Field Conditions
Authors: Keszthelyi Sándor , Hoffmann Richárd , Lukács Helga
Published: December 2024

Oulema melanopus L., 1758 (Coleoptera: Chrysomelidae) is one of the significant pests affecting cereal crops in Europe. Its damage is evident in the destruction of leaves during the spring growing season, leading to substantial impacts on both the quantity and quality of the harvested yields. The study aimed to evaluate the extent of leaf surface damage, changes in chlorophyll content caused by this pest, and the subsequent effects on yield quality. To achieve this, two experimental parcels were established, each subjected to different pesticide treatments during the spring vegetation cycle, but notably, with the difference that one parcel did not receive insecticide applications. The phytosanitary status, yield quantity, and quality parameters of thes parcels were compared. Chlorophyll content in damaged and undamaged plants was monitored in vivo using SPAD measurements, while the extent of leaf surface damage was assessed through image analysis using GIMP software 2.10.32. Harvested grain underwent milling and baking analysis, with milling and baking-quality indicators measured using a NIR grain analyzer. The results revealed that omitting springtime insecticide treatments during the emergence of O. melanopus led to significant reductions in leaf area and yield quality. In untreated parcels, leaf decession followed linear progression, reaching 35–40% within 20 days. This damage correlated with the decline in SPAD index values, indicating a 40–50% reduction in chlorophyll content dependent photosynthetic activity. Consequently, there were substantial decreases in milling and baking qualities, including nearly 30% reductional protein-content indicators and 10% in the Hagberg falling number. In summary, our large-scale field experiments demonstrated that persistent O. melanopus damage in wheat fields significantly reduced both the quantity and quality of yields, particularly protein content. These facts underscore the economic importance of timely pest-control measures to mitigate damage and preserve crop value.
Comparative Analysis of YOLO Models for Bean Leaf Disease Detection in Natural Environments
Authors: Rodríguez-Lira Diana-Carmen , Córdova-Esparza Diana-Margarita , Álvarez-Alvarado José M. , Romero-González Julio-Alejandro , Terven Juan , Rodríguez-Reséndiz Juvenal
Published: December 2024

This study presents a comparative analysis of YOLO detection models for the accurate identification of bean leaf diseases caused by Coleoptera pests in natural environments. By using a manually collected dataset of healthy and infected bean leaves in natural conditions, we labeled at the leaf level and evaluated the performance of the YOLOv5, YOLOv8, YOLOv9, YOLOv10, and YOLOv11 models. Mean average precision (mAP) was used to assess the performance of the models. Among these, YOLOv9e exhibited the best performance, effectively balancing precision and recall for datasets with limited size and variability. In addition, we integrated the Sophia optimizer and PolyLoss function into YOLOv9e and enhanced it, providing even more accurate detection results. This paper highlights the potential of advanced deep learning models, optimized with second-order optimizers and custom loss functions, in improving pest detection, crop management, and overall agricultural yield.
Deep Learning-Based Model for Effective Classification of Ziziphus jujuba Using RGB Images
Authors: Jeon Yu-Jin , Park So Jin , Lee Hyein , Kim Ho-Youn , Jung Dae-Hyun
Published: December 2024

Ensuring the quality of medicinal herbs in the herbal market is crucial. However, the genetic and physical similarities among medicinal materials have led to issues of mixing and counterfeit distribution, posing significant challenges to quality assurance. Recent advancements in deep learning technology, widely applied in the field of computer vision, have demonstrated the potential to classify images quickly and accurately, even those that can only be distinguished by experts. This study aimed to develop a classification model based on deep learning technology to distinguish RGB images of seeds from Ziziphus jujuba Mill. var. spinosa, Ziziphus mauritiana Lam., and Hovenia dulcis Thunb. Using three advanced convolutional neural network (CNN) architectures—ResNet-50, Inception-v3, and DenseNet-121—all models demonstrated a classification performance above 98% on the test set, with classification times as low as 23 ms. These results validate that the models and methods developed in this study can effectively distinguish Z. jujuba seeds from morphologically similar species. Furthermore, the strong performance and speed of these models make them suitable for practical use in quality inspection settings.
Banana Ripening Plant with a Low Global Warming Potential Refrigerant and Heat Recovery for the Romanian Climate
Authors: Girip Alina Viorica , Panait Alexandru , Ilie Anica
Published: December 2024

This paper presents a banana ripening chamber system for Romania. The system comprises two main parts: the refrigerating unit, with a cooling capacity of 47.5 kW, and a fresh air supply system for ethylene exhaust during the ripening process (1000 m3/h). The proposed solution replaces the classical one-stage vapor compression with R134a. The new solution presented in this study has a proven fruit ripening solution that includes the 3Es; it is eco-friendly (low GWP refrigerant R1234ze(E)), economical, and energy efficient (AHU with heat recovery). The advantage of the new system results from an increasing coefficient of performance, with 7.34% owing to decreasing the power consumption of the compressors. Regarding heat recovery, the annual energy consumption for ventilation is lower, using (annual average) 41% less energy than without heat recovery.
Implementing Circular Economy in the Production of Biogas from Plant and Animal Waste: Opportunities in Greenhouse Heating
Authors: Argyropoulos Christos , Thomopoulos Vasileios , Petrakis Theodoros , Kavga Angeliki
Published: December 2024

Several years have passed since the linear economy model proved unsustainable, leading to the transition toward the circular economy (CE) model. Significant amounts of agricultural residues and waste from livestock farming units remain unutilized in fields. The anaerobic digestion (AD) method addresses this issue by generating energy in the form of thermal (TE) and electrical energy (EE). This article examines greenhouse heating using thermal energy from a biogas plant. For this purpose, a thermal load model is developed and applied in two regions, northern (Florina) and central Greece (Trikala), to assess the greenhouse’s energy requirements in areas with differing characteristics, especially during the winter months. Additionally, the economic benefits of a biogas plant from selling electricity to the grid are analyzed. Thermal energy constitutes 59.7% of the system’s total energy output. On average, the generated electrical energy amounts to 518 MW h per month, while thermal energy reaches 770 MW h per month. The biogas plant’s daily electricity consumption ranges from 1564 kW h to 2173 kW h, depending on its needs. Ambient temperatures vary between 0 °C and 37 °C, significantly influencing the greenhouse heating system’s efficiency. The biogas plant also demonstrates financial profitability, earning 504,549 € annually from the sale of surplus electricity. Furthermore, the article explores greenhouse crops in the broader Thessaly region, where tomato cultivation seems to be dominant. Greenhouse heating requirements depend on crop type, location, weather conditions, sunlight exposure, and heat loss based on covering materials. Meanwhile, the thermal energy output that can heat a given greenhouse area is directly proportional to the biogas plant’s capacity.
Electronic Sensor-Based Automated Irrigation System for Rice Cultivated Under Alternate Wetting and Drying Technique
Authors: Kumar Mukesh , Sahni Ramesh Kumar , Waghaye Abhishek M. , Kumar Manoj , Randhe Ravindra D.
Published: December 2024

Rice is a water-intensive crop, conventionally grown under submerged conditions, with standing water for about 80% of its growth period. There is an urgent need for water-saving technologies to address challenges associated with conventional irrigation techniques for rice. The alternate wetting and drying (AWD) technique is one of these water-saving techniques; however, it requires continuous monitoring of water levels in the field. The implementation of real-time, electronic sensor-based precision irrigation technology may address the problems associated with conventional irrigation systems and AWD leading to high water use efficiency. Therefore, a study was undertaken to develop a suitable sensor-based automated irrigation system to maintain optimal water levels in rice fields. This study conceptualized an electronic sensor-based automated irrigation system for rice cultivated under the AWD technique. In this method, the rice field is initially flooded to a maximum depth of 5 cm. Irrigation is reapplied once the water level reduces to 10 cm below the soil surface. This developed system helps address water scarcity by regulating water levels, preventing excess ponding. It uses magnetic float-based sensors and electronic circuits to detect water levels, converting them into electronic signals transmitted wirelessly via radio frequency (RF) to a controller. The controller has been programmed for different growth stages that need to be set manually during the cropping period. The system is designed primarily for the AWD method but includes an option for continuous ponding (CP), needed during the flowering stage. The maximum water level at full maturity is set at 5 cm above the soil surface, while irrigation with the AWD method begins when the water level falls 10 cm below the soil surface. The developed system was tested during the Kharif season of 2018–19; the irrigation water productivity was 6.15 kg ha−1mm−1 with the automated system, compared to 3.06 kg ha−1mm−1 in the control (continuous ponding). Total water productivity was 4.80 kg ha−1mm−1 for the automated system and 2.63 kg ha−1mm−1 for the control. The automated system achieved 36% more water savings over the control, which used continuous ponding as farmers practice. The developed system supports AWD, a proven water-saving technique in rice cultivation.
ChatGPT: Transforming Healthcare with AI
Authors: Neha Fnu , Bhati Deepshikha , Shukla Deepak Kumar , Amiruzzaman Md
Published: December 2024

ChatGPT, developed by OpenAI, is a large language model (LLM) that leverages artificial intelligence (AI) and deep learning (DL) to generate human-like responses. This paper provides a broad, systematic review of ChatGPT’s applications in healthcare, particularly in enhancing patient engagement through medical history collection, symptom assessment, and decision support for improved diagnostic accuracy. It assesses ChatGPT’s potential across multiple organ systems and specialties, highlighting its value in clinical, educational, and administrative contexts. This analysis reveals both the benefits and limitations of ChatGPT, including health literacy promotion and support for clinical decision-making, alongside challenges such as the risk of inaccuracies, ethical considerations around informed consent, and regulatory hurdles. A quantified summary of key findings shows ChatGPT’s promise in various applications while underscoring the risks associated with its integration in medical practice. Through this comprehensive approach, this review aims to provide healthcare professionals, researchers, and policymakers with a balanced view of ChatGPT’s potential and limitations, emphasizing the need for ongoing updates to keep pace with evolving medical knowledge.
Optimization of Deep Neural Networks Using a Micro Genetic Algorithm
Authors: Landa Ricardo , Tovias-Alanis David , Toscano Gregorio
Published: December 2024

This work proposes the use of a micro genetic algorithm to optimize the architecture of fully connected layers in convolutional neural networks, with the aim of reducing model complexity without sacrificing performance. Our approach applies the paradigm of transfer learning, enabling training without the need for extensive datasets. A micro genetic algorithm requires fewer computational resources due to its reduced population size, while still preserving a substantial degree of the search capabilities found in algorithms with larger populations. By exploring different representations and objective functions, including classification accuracy, hidden neuron ratio, minimum redundancy, and maximum relevance for feature selection, eight algorithmic variants were developed, with six variants performing both hidden layers reduction and feature-selection tasks. Experimental results indicate that the proposed algorithm effectively reduces the architecture of the fully connected layers in the convolutional neural network. The variant achieving the best reduction used only 44% of the convolutional features in the input layer, and only 9.7% of neurons in the hidden layers, without negatively impacting (statistically confirmed) classification accuracy when compared to a network model based on a full reference architecture and a representative method from the literature.
Moderate Phosphorus Addition to Field-Grown Bananas Enhanced Soil Microbial Enzyme Activities but Had Negligible Impacts on Bacterial, Fungal, and Nematode Diversity
Authors: Clarke Anna-Belle C. , Lapis-Gaza Hazel R. , Irvine-Brown Stuart , Lyons Rebecca , Sun Jiarui , Pattison Anthony B. , Dennis Paul G.
Published: December 2024

On commercial banana (Musa spp.) plantations, soils are often supplemented with phosphorus (P) fertiliser to optimise production. Such additions may influence the diversity and function of soil microbial communities, which play important roles in P cycling and affect plant fitness. Here, we characterised the effects of P addition on the diversity and function of banana-associated microbial communities. P addition was associated with significant increases in soil P and the activities of alpha-glucosidase, chitinase, arylsulphatase, and acid phosphatase, but not beta-glucosidase or xylosidase. P addition also expedited bunch emergence and harvest, but did not influence fruit yield, plant height, or foliar P. There were no significant effects of P addition on the alpha or beta diversity of bacterial, fungal, and nematode communities, including members of the core microbiome. The only exceptions to this was an increase in the relative abundance of a Fusarium population in roots. These results indicate that phosphorus application to banana soils may stimulate microbial enzyme activities with minor or negligible effects on microbial diversity.
How to Implement Clinical 7T MRI—Practical Considerations and Experience with Ultra-High-Field MRI
Authors: Cramer Justin , Ikuta Ichiro , Zhou Yuxiang
Published: December 2024

The implementation of clinical 7T MRI presents both opportunities and challenges for advanced medical imaging. This tutorial provides practical considerations and experiences with 7T MRI in clinical settings. We first explore the history and evolution of MRI technology, highlighting the benefits of increased signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and susceptibility at 7T. Technical challenges such as increased susceptibility artifacts and RF inhomogeneity are also discussed, along with innovative adaptations. This review also discusses hardware and software considerations, including new parallel transmission head coils and advanced image processing techniques to optimize image quality. Safety considerations, such as managing tissue heating and susceptibility to artifacts, are also discussed. Additionally, clinical applications of 7T MRI are examined, focusing on neurological conditions such as epilepsy, multiple sclerosis, and vascular imaging. Emerging trends in the use of 7T MRI for spectroscopy, perfusion imaging, and multinuclear imaging are explored, with insights into the future of ultra-high-field MRI in clinical practice. This review aims to provide clinicians, technologists, and researchers with a roadmap for successfully implementing 7T MRI in both research and clinical environments.
Fingerprint Sweat Pore Density in Patients with Oligodontia: A Controlled Clinical Trial
Authors: Schmid Jonas Q. , Reimann Jens , Middelberg Claudius , Oelerich Ole , Stamm Thomas , Hohoff Ariane
Published: December 2024

Background/Objectives: There is a lack of evidence for the relationship between sweat pores and tooth agenesis. The aim of this study was to compare sweat pore density on fingertips between a group of patients with oligodontia and a control group without tooth agenesis. Methods: This parallel-group controlled clinical trial included 28 patients. Fourteen patients (f/m 9/5; mean age 13.5 ± 3.5 years) with ≥6 congenitally missing permanent teeth, excluding third molars (M3), were enrolled in the study group. The matched control group consisted of 14 patients (f/m 9/5; mean age 12.8 ± 1.8 years) without tooth agenesis. Impressions of 168 fingertips (left and right index, middle, and ring fingers) of the participating subjects were taken and examined using a scanning electron microscope with a 5.85 mm × 4.29 mm region of interest at the center of the fingertip. The primary outcome was the pore-to-pore distance (μm) on a dermal ridge, and the secondary outcome was the number of sweat pores per cm2, while pore numbers were adjusted for individual body surface area (BSA). Results: There were no statistically significant differences in age, height, weight, and BSA between the groups. The study group had 11.07 ± 4.03 missing teeth, excluding M3. There was a statistically significant difference (p = 0.006) in the distance between adjacent pores on a dermal ridge between the study and control groups (354.89 ±32.41 μm vs. 340.31 ±39.04 μm). The unadjusted pore numbers showed a statistically significant difference between the groups, but after adjustment for BSA, this difference was no longer present. Conclusions: Patients with oligodontia differed from subjects without tooth agenesis in the distance between two adjacent sweat pores on a dermal ridge. However, the differences were small and of limited clinical significance. Increased pore distance appears to be a better predictor of oligodontia/ectodermal dysplasia than pore number.
Early Alpha-Fetoprotein Response Predicts Sustained Tumor Response Following Immune Checkpoint Inhibitors Combined with Targeted Therapy in Liver Cancer
Authors: Tian Jiahe , Pan Shida , Wang Yilin , Yu Yingying , Wang Siyu , Shen Yingjuan , Yang Luo , Liu Xiaomeng , Qiu Qin , Luan Junqing , Wang Fusheng , Meng Fanping
Published: December 2024

Background: Although immune checkpoint inhibitors (ICI) have revolutionized liver cancer treatment, some patients experience early tumor progression after therapy, missing the window for other potential treatments, such as neoadjuvant therapy. Therefore, identifying the predictive factors for early progression is critical for timely therapeutic adjustment and the optimization of patient outcomes. Methods: This retrospective study enrolled patients with liver cancer who received their first ICI combined with targeted therapy at the Fifth Medical Center of the PLA General Hospital between June 2022 and December 2023. Early tumor progression was defined as tumor progression within 6 months of therapy initiation. Multivariate logistic regression analysis was used to identify independent risk factors for early tumor progression, and overall survival (OS) curves were generated using the Kaplan–Meier method. Results: A total of 159 patients were enrolled. Multivariate logistic regression analysis indicated that patients with an early alpha-fetoprotein (AFP) response had a significantly reduced risk of early tumor progression (OR = 0.34, 95% CI: 0.13–0.84, p = 0.019), suggesting that an early AFP response is a protective factor against early progression. The area under curve (AUC) for the predictive model was 0.73 (95% CI: 0.63–0.83, p < 0.001). Stratified survival analysis showed that the median overall survival (mOS) in the early AFP response group was significantly longer than that in the poor response group (17.3 months vs. 6.1 months, HR = 2.11, 95% CI: 1.19–2.74, p = 0.009). Conclusions: Early AFP response is not only an effective biomarker for identifying high-risk patients prone to early tumor progression but is also significantly associated with long-term survival in liver cancer patients treated with ICI combined with targeted therapy. This finding will enable clinicians to make timely therapeutic adjustments and optimize treatment outcomes, thereby improving both progression-free survival and overall survival.
Tau Protein and β-Amyloid Associated with Neurodegeneration in Myelin Oligodendrocyte Glycoprotein-Induced Experimental Autoimmune Encephalomyelitis (EAE), a Mouse Model of Multiple Sclerosis
Authors: Pyka-Fościak Grażyna , Jasek-Gajda Ewa , Wójcik Bożena , Lis Grzegorz J. , Litwin Jan A.
Published: December 2024

Background: The levels of β-amyloid precursor protein (β-APP), tau protein, and phosphorylation of tau (p-tau) protein were examined by quantitative immunohistochemistry in the spinal cord sections of mice suffering from experimental autoimmune encephalomyelitis (EAE) in the successive phases of the disease: onset, peak, and chronic. Methods: EAE was induced in C57BL/6 mice by immunization with MOG35–55 peptide. The degree of pathological changes was assessed in cross-sections of the entire spinal cord. Results: β-APP expression was observed in the white matter and colocalized with some Iba-1-positive macrophages/microglia. It increased in the peak phase of EAE and remained at the same level in the chronic phase. During the onset and peak phases of EAE, expression of tau protein was observed in nerve fibers and nerve cell perikaryons, with a predominance of nerve fibers, whereas in the chronic phase, tau was labeled mainly in the perikaryons of nerve cells, with its content significantly decreased. P-tau immunostaining was seen only in nerve fibers. Conclusions: The expression of p-tau increased with the progression of EAE, reaching the maximum in the chronic phase. The correlation between these proteins and neurodegeneration/neuroinflammation highlights their potential roles in the progression of neurodegenerative mechanisms in MS.
Quantifying Lenition as a Diagnostic Marker for Parkinson’s Disease and Atypical Parkinsonism
Authors: Wayland Ratree , Meyer Rachel , Reddy Ruhi , Tang Kevin , Hegland Karen W.
Published: December 2024

Objective: This study aimed to evaluate lenition, a phonological process involving consonant weakening, as a diagnostic marker for differentiating Parkinson’s Disease (PD) from Atypical Parkinsonism (APD). Early diagnosis is critical for optimizing treatment outcomes, and lenition patterns in stop consonants may provide valuable insights into the distinct motor speech impairments associated with these conditions. Methods: Using Phonet, a machine learning model trained to detect phonological features, we analyzed the posterior probabilities of continuant and sonorant features from the speech of 142 participants (108 PD, 34 APD). Lenition was quantified based on deviations from expected values, and linear mixed-effects models were applied to compare phonological patterns between the two groups. Results: PD patients exhibited more stable articulatory patterns, particularly in preserving the contrast between voiced and voiceless stops. In contrast, APD patients showed greater lenition, particularly in voiceless stops, coupled with increased articulatory variability, reflecting a more generalized motor deficit. Conclusions: Lenition patterns, especially in voiceless stops, may serve as non-invasive markers for distinguishing PD from APD. These findings suggest potential applications in early diagnosis and tracking disease progression. Future research should expand the analysis to include a broader range of phonological features and contexts to improve diagnostic accuracy.
Design of an Active–Passive Composite Impedance Controller for a Soft Robotic Arm Under Contact Constraints
Authors: Yan Bo , Chen Yinglong , Zhou Cheng , Sun Qiang , Gao Fei , Yang Xinyu , Xiao Xingtian
Published: December 2024

The inherent passive impedance characteristics of soft robotic arms provide excellent environmental adaptability. When a soft robotic arm interacts with its surroundings, its passive impedance responds swiftly, preventing rigid collisions that could damage the arm and ensuring high safety. However, during the movement of the soft robotic arm, these passive impedance properties are uncontrollable, making it impossible to achieve precise impedance control in constrained environments by relying solely on passive mechanisms. Therefore, this paper integrated active impedance control with the passive impedance characteristics of soft robotic arms, proposing an active–passive composite impedance controller. Additionally, a position-based impedance controller was designed for comparative analysis. Finally, this article developed both control systems and conducted simulations and experiments, demonstrating that the composite active–passive impedance controller offers superior control performance and environmental adaptability.
The Effect of Informal Food Service Operators’ Capabilities on Their Performance in Nigeria
Authors: Adedeji Funke Tawakalitu , Taiwo Kehinde , Oyebola Abiodun Isaac , Oyewole Oyebisi Olaleye , Kappo-Abidemi Christiana
Published: December 2024

Technology has become crucial for businesses of all scales, enhancing operational efficiency, customer experience, and overall performance. While many formal businesses have embraced technology, small and informal businesses, particularly in rural areas, often struggle with adoption due to resource constraints. This study examines the impact of technological capability (TC) on the performance of informal food service operators (IFO) in southwestern Nigeria. This study employed a quantitative approach whereby a closed-ended questionnaire was administered to 180 IFOs across different LGAs in Oyo State to elicit information about the effect of their activities on performance indicators. The response rate was 93.8%. Data was analyzed using a binary logistic regression model. Findings revealed that the innovation capability (β—1.657; p—0.003*) and production capability (β—3.276; p—0.009*) of the IFOs significantly influenced their sales turnover and profit level is influenced by innovation capability (β—1.657; p—0.013*), investment capability (β—2.013; p—0.004*) and linkage capability (β—2.716; p—0.003*) within the study area. The study recommends that there should be strong linkages between the operators and technology-providing organisations to enhance their innovation capability.
Central Characteristics and Critical Success Factors of Design Thinking for Product Development in Industrial SMEs—A Bibliometric Analysis
Authors: Olivares Ugarte Jazmin Estefania , Bengtsson Lars
Published: December 2024

Design thinking is an innovative methodology that may be applied by small and medium enterprises which emphasizes a human-centered approach to problem-solving, facilitating the creation of novel solutions for complex and open-ended challenges like the development of new products. Despite its recognized importance in business and academia, many industrial SMEs struggle with applying design thinking in their product development processes. This research aims to identify the central characteristics of design thinking and its critical success factors to enable effective application by industrial SMEs. Based on a systematic search in the Scopus database (last searched 14 May 2024) for the relevant literature, which resulted in a selection of 30 published papers, with titles and/or abstract fields containing words of design thinking and small- and medium-sized enterprises in industrial sectors, and a bibliometric analysis of co-word occurrence using VOS Viewer (1.6.20 version), we construct a framework that identifies central characteristics, design thinking principles, criteria, phases, and tools, as well as four dimensions of critical success factors: strategy, culture, competences, and implementation. This finding is new as it applies to industrial SMEs, as compared to extant research’s more general orientation. The framework is presented in visual form to facilitate use in developmental workshops with SMEs and supporting actors. This paper ends with notes on limitations and proposals for further research.
Microstructural X-Ray Computed Tomography Investigation of the Defect Evolution in Refractory Castings Based on Andalusite
Authors: Razavi Anita , Hopp Vanessa , Hahn Dominik , Sax Almuth , Quirmbach Peter
Published: December 2024

X-ray computed tomography (XRT) has gradually established its position as a non-destructive and, therefore, reproducible three-dimensional (3D) investigation technique, allowing for material- and geometry-independent applications. In the context of this study, XRT provides an enhanced understanding of thermal-induced microstructural changes in an andalusite-based refractory, which are not apparent from the limited two-dimensionality of conventional optical investigation techniques. By subjecting an andalusite-based sample to an XRT scan after temperature treatments of T = 110 °C, 800 °C, 1000 °C, 1200 °C and 1400 °C, the XRT technique in this study introduced a novel perspective on the sintering process of andalusite refractory materials. The XRT investigation focused on the thermal-induced defect and crack evolution of the castable as a function of temperature. In addition to general sintering phenomena, this includes the formation of a capillary network filled with silica-rich glass phases (SiO2) due to the mullitization of andalusite. The results of the XRT analysis indicate the existence of glass bridges within these structures.
Synergistic Effect of Sono-Photocatalysis on the Degradation of Rhodamine B Dye Using BiFeO3 Nanoparticles Synthesized via a Modified Combustion Method
Authors: Robles-Cortes Anel I. , Flores-Ramírez Daniel , Medina-de la Rosa Lissette , González-Ramírez Denisse F. , Ortiz-Landeros José , Romero-Ibarra Issis C.
Published: December 2024

Water contamination has become a global concern, and the prevalence of complex substances known as emerging contaminants constitute a risk to human health and the environment. This work focused on an innovative approach of integrating sonolysis and photocatalysis to remove a standard textile dye efficiently. A highly photo-active, bismuth ferrite (BiFeO3) nanocatalyst with single particle sizes between 86 and 265 nm was obtained by a novel one-pot combustion method using a deep eutectic solvent as a precursor. The said catalyst was thoroughly characterized and evaluated for photocatalytic and sono-photocatalytic degradation of rhodamine B (RhB). Photocatalytic experiments were conducted under visible light irradiation (450–600 nm). Sono-photocatalytic (SPC) experiments were conducted, focusing on the influence of operational parameters (frequency, power, and pH) on the degradation performance. High-frequency values of 578, 866, and 1138 kHz were explored to promote cavitation dynamics and reactive species generation, improving removal efficiency. Results demonstrated that when sonolysis and photocatalysis were performed separately, the degradation efficiency ranged between 85 and 87%. Remarkably, when the combined SPC degradation was carried out, the RhB removal reached about 99.9% after 70 min. It is discussed that this behavior is due to the increased generation of OH• radicals as a product of the cavitation phenomena related to the ultrasound-assisted process. Moreover, it is argued that SPC significantly improves reaction kinetics and mass transfer rates, facilitating catalyst dispersion and contact with the RhB molecules. Finally, the stability of the catalyst was evaluated in five repeated RhB removal cycles, where the activity remained consistently strong.
Systematic Investigation on Surface Diradicals Using Theoretical Models: 2M/MgO and 2M/BaO (M = Cu, Ag, and Au)
Authors: Tada Kohei , Masuda Koki , Kishi Ryohei , Kitagawa Yasutaka
Published: December 2024

Diradical character is one of the characteristic quantities of functional open-shell molecules. Prof. Nakano devotedly studied the relationship between diradical character and material properties of open-shell molecules; now, we can use the diradical character as a powerful tool for molecular material designs. It is still unclear how the open-shell molecules are affected by the interaction with the surface although the molecules have been immobilised for device applications. In the present study, the adsorptions of model diradical molecules with s-electrons on the MgO (001) and BaO (001) surfaces are investigated using approximate spin projected density functional theory with plane-wave basis (AP-DFT/plane-wave) to provide a systematic discussion of surface–diradical interactions. The accuracy of AP-DFT/plane-wave was verified by comparisons with the calculated results by NEVPT2. The computational error introduced by DFT calculations on the diradical state (spin contamination error) is reduced by the surface–diradical interaction. In addition, it is shown that (1) the diradical character is amplified by the orbital polarisation effects of oxide ions, and (2) the character decreases when the magnetic orbitals become electron-rich due to electron donation from the surfaces. The two effects are competing; the former is pronounced in Au systems, whereas the latter is pronounced in Ag systems.
Achieving Optical Ozone Sensing with Increased Response and Recovery Speed by Using Highly Dispersed CdSe/ZnS Quantum Dots in Porous Glass
Authors: Ando Masanori , Kawasaki Hideya , Tamura Satoru , Shigeri Yasushi
Published: December 2024

CdSe/ZnS quantum dots (QDs) that were highly dispersed in porous glass showed a rapid decrease in the intensity of their photoluminescence (PL) in response to ozone at concentrations of 0–200 ppm in air (at room temperature and atmospheric pressure), followed by a similarly rapid recovery to full PL in air with no ozone. The response time of the PL quenching in the presence of ozone, and the recovery time to full PL in air after the ozone was removed, showed little dependence on the ozone concentration. Compared to conventional CdSe/ZnS QD films on planar glass substrates, the speed of ozone-induced decrease in the PL intensity of QDs increased, and the recovery speed of the PL intensity, once the ozone was removed from the air, was even more rapid compared to the recovery on planar glass. The 100% PL intensity recovery time in air was reduced to about 10% for CdSe/ZnS QDs that were dispersed in porous glass compared to CdSe/ZnS QD films on planar glass substrates. We hypothesize that this reflects the fact that ozone molecules that are adsorbed on the QD-layer-lined pore surfaces are quickly desorbed in ozone-free air, because the layer of CdSe/ZnS QDs is much thinner in the pores of porous glass than on a planar glass substrate. Thus, CdSe/ZnS QDs that were dispersed in porous glass showed a rapid response to ozone and a similarly rapid recovery in ozone-free air, which has not been seen in previous QD ozone gas sensors, indicating that they are promising as high-performance optical ozone sensor materials.
Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values
Authors: Castro-Martínez José A. , Vargas Eva , Díaz-Beltrán Leticia , Esteban Francisco J.
Published: December 2024

Neurological disorders such as Autism Spectrum Disorder (ASD), Schizophrenia (SCH), Bipolar Disorder (BD), and Major Depressive Disorder (MDD) affect millions of people worldwide, yet their molecular mechanisms remain poorly understood. This study describes the application of the Comparative Analysis of Shapley values (CASh) to transcriptomic data from nine datasets associated with these complex disorders, demonstrating its effectiveness in identifying differentially expressed genes (DEGs). CASh, which combines Game Theory with Bootstrap resampling, offers a robust alternative to traditional statistical methods by assessing the contribution of each gene in the broader context of the complete dataset. Unlike conventional approaches, CASh is highly effective at detecting subtle but meaningful molecular patterns that are often missed. These findings highlight the potential of CASh to enhance the precision of transcriptomic analysis, providing a deeper understanding of the molecular mechanisms underlying these disorders and establishing a solid basis to improve diagnostic techniques and developing more targeted therapeutic interventions.
MIF Inhibition by ISO-1 Decreased Autophagic Activity in Primary Astrocytes During Cobalt Chloride-Induced Hypoxia
Authors: Park Ji-Hyun , Cho Hye-Ji , Song Dae-Yong , Lee Jung-Ho , Yoo Hong-Il
Published: December 2024

Ischemic stroke is a leading contributor to death and disability worldwide, driving extensive research into pharmacological treatments beyond thrombolysis. Macrophage migration inhibitory factor (MIF), a cytokine, is implicated in several pathological conditions. In this study, we examined the effects of MIF on autophagy in astrocytes under the condition of chemical hypoxia. Primary astrocytes were treated with cobalt chloride, a well-known drug for inducing chemical hypoxia, followed by Western blot analyses to assess the HIF-1α, MIF, and LC3 protein levels along with a CCK assay. Additionally, cobalt chloride-treated astrocytes were co-treated with the MIF inhibitor ISO-1, and Western blot analyses were performed for MIF and LC3. Cell viability was evaluated using the CCK assay in astrocytes treated with cobalt chloride and ISO-1, with additional rapamycin treatment. Our results show that ISO-1 reduced LC3-II levels in astrocytes exposed to high concentrations of cobalt chloride (1000 μM) for 6 h. Moreover, rapamycin decreased cell viability in astrocytes treated with both 1000 μM cobalt chloride and ISO-1. Our data suggest that MIF plays a role in inducing autophagy in astrocytes under hypoxic conditions and is involved in the regulation of autophagic activity.
Variable Expression of Oncogene-Induced Senescence/SASP Surrogates in HPV-Associated Precancerous Cervical Tissue
Authors: Saleh Tareq , Himsawi Nisreen , Al Rousan Amani , Alhesa Ahmad , El-Sadoni Mohammed , Khawaldeh Suzan , Shahin Nisreen Abu , Ghalioun Ala’ Abu , Shawish Bayan , Friehat Kholoud , Alotaibi Moureq R. , Abu Al Karsaneh Ola , Abu-Humaidan Anas , Khasawneh Rame , Khasawneh Ashraf I. , Al Shboul Sofian
Published: December 2024

Oncogene-induced senescence (OIS) is a form of cellular senescence triggered by oncogenic signaling and, potentially, by infection with oncogenic viruses. The role of senescence, along with its associated secretory phenotype, in the development of cervical cancer remains unclear. Additionally, the expression of the senescence-associated secretory phenotype (SASP) has not yet been explored in cervical premalignant lesions infected by the Human Papilloma Virus (HPV). This study aimed to investigate the expression of OIS and SASP markers in HPV-infected cervical precancerous lesions. We used a set of patient-derived precancerous (n = 32) and noncancerous (chronic cervicitis; n = 10) tissue samples to investigate the gene expression of several OIS (LMNB1, CDKN2A, CDKN2B, and CDKN1A), and SASP (IL1A, CCL2, TGFB1, CXCL8, and MMP9) biomarkers using qRT-PCR. OIS status was confirmed in precancerous lesions based on Lamin B1 downregulation by immunohistochemical staining. HPV status for all precancerous lesions was tested. Most of the noncancerous samples showed high Lamin B1 expression, however, precancerous lesions exhibited significant Lamin B1 downregulation (p < 0.001). Fifty-five percent of the precancerous samples were positive for HPV infection, with HPV-16 as the dominant genotype. Lamin B1 downregulation coincided with HPV E6 positive expression. CDKN2A and CDKN2B expression was higher in precancerous lesions compared to noncancerous tissue, while LMNB1 was downregulated. The SASP profile of premalignant lesions included elevated CXCL8 and TGFB1 and reduced IL1A, CCL2, and MMP9. this work shall provide an opportunity to further examine the role of OIS and the SASP in the process of malignant cervical transformation.
Functional Genomics and Comparative Genomics Analysis in Plants
Authors: Lu Yueqi , Zou Quan
Published: December 2024

The study of plant genomics has significantly deepened our understanding of plant evolution and adaptation from a microscopic perspective [...]
Expanding the Scope of Commodities to Reflect the Evolving Market Landscape
Authors: Baek Jungho
Published: December 2024

Since I was appointed Editor-in-Chief of the international, peer-reviewed, open access journal Commodities ISSN 2813-243 [...]
Hard Outcomes in Critically Ill Patients with Acute Respiratory Distress Syndrome Caused by SARS-CoV-2 Infection: A Retrospective Cohort Study of 3 Years of Pandemic
Authors: Mora Martínez Gabriela Maria , Turrubiates Hernández Theno Alexandro , Visoso Palacios Porfirio , Esparza Correa Josue Gerardo , Ramírez Gutiérrez Álvaro Eduardo
Published: December 2024

Background: The COVID-19 pandemic has exerted immense pressure on healthcare systems, particularly in the management of patients with acute respiratory distress syndrome (ARDS). Identifying predictors of survival in critically ill patients is crucial for optimizing treatment strategies. Methods: A retrospective cohort study was conducted in an Intensive Care Unit (ICU) in Mexico City, spanning from March 2020 to March 2023. This study included patients aged 18 years and older with confirmed COVID-19 who required invasive mechanical ventilation. Logistic regression and Kaplan–Meier analyses were performed to evaluate factors associated with mortality. Results: A total of 157 patients were included, with a mean age of 62.8 years, and 74.5% were male. The 90-day survival rate was 41.4%, with a mortality rate of 58.6%. Acute kidney injury (AKI) (OR = 3.4), hemodynamic failure (OR = 6.5), and elevated lactate levels (OR = 0.201) were significantly associated with increased mortality risk. Kaplan–Meier analysis demonstrated significantly reduced survival among patients with AKI, hemodynamic failure, and hyperlactatemia. Discussion: AKI, hemodynamic instability, and hyperlactatemia emerged as pivotal predictors of mortality. The high incidence of AKI and associated adverse outcomes underscore the urgent need for tailored management strategies in this vulnerable patient cohort. Conclusions: The 90-day survival rate was 41.4%. AKI, hemodynamic failure, and elevated lactate levels were independently associated with increased mortality, highlighting the necessity for focused and strategic interventions.
Impact of COVID-19 Pandemic-Related Restrictions for Inpatients with Aphasia and Associated Cognitive Dysfunction: Lessons Learned from Patient Detention
Authors: Eshun Edwin , Welch Killian , Britton Hannah , Mayer Victoria , Morrice Fay , Ogilvie Charlotte , Page Helen , Pridmore Jessie , FitzGerald Alasdair
Published: December 2024

We describe two patients with a recent stroke or traumatic brain injury associated with aphasia and cognitive impairment who required detention (under the Mental Health Act) as well as some form of restraint during their inpatient rehabilitation. Each of these episodes of care occurred early into the COVID-19 pandemic and we speculate that the detention (and restraint) was attributable, at least in part, to the difficulty in comprehending COVID-19-related changes in patterns of staff interaction and the mandated social and visiting restrictions. We reflect on the impact of these restrictions on the need for detention and how these factors could have been mitigated through speech and language therapist (SLT) and broader multidisciplinary team (MDT) intervention.