bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Different Planting Densities of Solanum nigrum L. on the Growth and Cadmium Uptake of Young Grapevines
Authors: Yang Yuanxiang , Zheng Qinfeng , Wang Jin , Lv Xiulan , Liang Dong , Liao Renyan , Lin Lijin
Published: December 2024

We determine the best planting density of Solanum nigrum L. when intercropping with young grapevines to decrease cadmium (Cd) uptake by young grapevines. The effects of different planting densities (plant spacing × row spacing, in centimeters, and designated as 40 × 80, 40 × 40, 20 × 40 and 20 × 20, respectively) of S. nigrum on the growth and Cd uptake of young grapevines were studied. The 40 × 80 and 40 × 40 treatments increased the biomass, photosynthetic pigment content and photosynthesis of young grapevines, while the 20 × 40 and 20 × 20 treatments decreased these traits compared with the monoculture. With increasing intercropping density, the antioxidant enzyme activity of both plant species increased. Intercropping with S. nigrum decreased the Cd content in young grapevines, and the 40 × 80, 40 × 40, 20 × 40 and 20 × 20 treatments decreased the shoot Cd content in young grapevines by 20.89%, 26.11%, 38.12% and 45.95%, respectively, compared with the monoculture. Additionally, increasing the intercropping density increased the Cd content and extraction of S. nigrum. Thus, intercropping young grapevine with S. nigrum can decrease Cd uptake in young grapevines while remediating soil Cd-contamination, and the most optimal treatment is 20 × 20 in this experiment.
Yield Responses to Total Water Input from Irrigation and Rainfall in Six Wheat Cultivars Under Different Climatic Zones in Egypt
Authors: Elkot Ahmed Fawzy , Shabana Yasser , Elsayed Maha L. , Saleh Samir Mahmoud , Gadallah Maha A. M. , Fitt Bruce D. L. , Richard Benjamin , Qi Aiming
Published: December 2024

In Egypt, wheat is the most consumed cereal grain, and its availability and affordability are important for social stability. Irrigation plays a vital role in wheat cultivation, despite intense competition for water resources from the River Nile across various societal sectors. To explore how grain and above-ground biomass yields respond to total seasonal water input from sowing to maturity in six bread wheat cultivars, eight field irrigation experiments were performed at four locations representative of three agro-climatic zones in two consecutive cropping seasons. A three-replicate strip-plot design was used with cultivars nested within the main plots featuring five irrigation treatments, ranging from six to two applications. Overall, irrigation treatment significantly affected nine agronomic traits. Compared with the six irrigation applications treatment (T1), the two irrigation applications treatment (T5) decreased the times to heading and maturity by 6.6 (7.3%) and 8.6 (6.3%) days, respectively. Similarly, T5 reduced the plant height by 14.9 cm (14.3%), flag leaf area by 12.0 cm2 (27.2%), number of spikes per square metre by 77.7 (20.1%), number of kernels per spike by 13.9 (25.2%) and thousand grain weight by 10.0 g (19.6%). T5 also decreased the overall mean grain yield and above-ground biomass yield by 2834.9 (32.0%) and 7910.4 (32.86%) kg/ha, respectively. The grain yield and above-ground biomass production were consistently greater for all six cultivars at Al Mataenah and Sids than at Nubaria and Ismailia in the two cropping seasons. All six cultivars showed significantly greater responses to total seasonal water input for the grain yield and above-ground biomass at Al Mataenah and Ismailia. These results emphasise the necessity for choosing regions with favourable soil and climatic conditions to grow wheat cultivars that respond better to irrigation to enhance the large-scale production of wheat in Egypt. The grain and above-ground biomass yields were mostly linearly and positively associated with the total seasonal water input for all six cultivars at all four locations. This suggests that maintaining the current irrigation schedule of six irrigations is valid and should be practised to maximise productivity, particularly in areas similar to the three representative agro-climatic zones in Egypt.
The Long-Term Effect of Cattle Manure Application on Soil P Availability and P Fractions in Saline-Sodic Soils in the Songnen Plain of China
Authors: Feng Xiaotong , Liu Changjie , Li Yang , Xu Jiaqi , Zhang Juan , Meng Qingfeng
Published: December 2024

Lower soil phosphorus (P) availability in saline-sodic soils is due to high pH and salinity, which seriously limited crop growth. Manure application has a positive effect on soil properties and P availability. We conducted an experiment, which included five treatments with different durations of manure application: 11-, 16-, 22-, and 27-year manure treatments, and no manure as a control treatment (CK). The results showed that manure application decreased soil pH and electrical conductivity (EC) and increased soil organic matter (SOM). Soil available P content increased by 236.76 mg·kg−1 after applying manure for 27 years. Compared to the CK treatment, manure application significantly increased alkaline phosphatase (ALP) 3.36–6.05-fold and increased microbial biomass phosphorus (MBP) 3.69–15.90-fold (p < 0.05). The organic P (Po) and inorganic P (Pi) contents increased with manure application, except Ca10-P and O-P. Furthermore, we found that pH and EC were significantly negatively correlated with SOM (p < 0.05). MBP and ALP were significantly positively correlated with SOM (p < 0.05). Available P was mainly affected by Ca2-P (+0.71, p < 0.001). Overall, manure application in saline-sodic soils altered soil saline-sodic properties by increasing SOM. The results also indicated that enhanced soil available P is due to an increase in Ca2-P, Al-P, and Po mineralization, especially for Ca2-P.
Straw Returning with Decomposition Agent Enhanced Rice Yield and Decreased Yield-Scaled N2O Emissions in Tropical Paddy Fields
Authors: Meng Longwei , Lu Qiqian , Lin Tian , Dong Lu , Wu Xiaochen , Zhuo Yixiu , Yang Anfu , Zhu Qilin , Meng Lei
Published: December 2024

Straw returning (R) combined with the application of a decomposition agent (RD) can increase crop yield and soil carbon (C) storage. However, the effect of RD on soil nitrous oxide (N2O) emissions in tropical areas remains poorly understood. In this study, an in situ experiment was performed under different water management strategies (long-term flooding or alternate wetting and drying) with the R and RD treatments to evaluate soil N2O emissions and rice yield. The SOC and TN contents were significantly lower under the RD treatment than under the R treatment. The R treatment significantly increased rice yield; however, the yield was further significantly increased under the RD treatment. The soil N2O emissions and yield-scaled N2O emissions were higher under the R treatment than under the no-straw-returning treatment. However, the RD treatment greatly reduced soil N2O emissions and yield-scaled N2O emissions under various water management strategies compared with those under the R treatment. Moreover, yield-scaled N2O emissions were lower in the RD treatment than in the control. The soil N2O emissions and yield-scaled N2O emissions were distinctly higher under alternate wetting and drying than under long-term flooding. Our results indicated that long-term flooding and straw returning with decomposition agents can effectively increase rice yield and reduce soil N2O emissions in tropical areas.
Monitoring the Composting Process of Olive Oil Industry Waste: Benchtop FT-NIR vs. Miniaturized NIR Spectrometer
Authors: P. Rueda Marta , Domínguez-Vidal Ana , Aranda Víctor , Ayora-Cañada María José
Published: December 2024

Miniaturized near-infrared (NIR) spectrometers are revolutionizing the agri-food industry thanks to their compact size and ultra-fast analysis capabilities. This work compares the analytical performance of a handheld NIR spectrometer and a benchtop FT-NIR for the determination of several parameters, namely, pH, electrical conductivity (EC25), C/N ratio, and organic matter as LOI (loss-on-ignition) in compost. Samples were collected at different stages of maturity from a full-scale facility that processes olive mill semi-solid residue together with olive tree pruning residue and animal manure. Using an FT-NIR spectrometer, satisfactory predictions (RPD > 2.0) were obtained with both partial least squares (PLS) and support vector machine (SVM) regression, SVM clearly being superior in the case of pH (RMSEP = 0.26; RPD = 3.8). The superior performance of the FT-NIR spectrometer in comparison with the handheld spectrometer was essentially due to the extended spectral range, especially for pH. In general, when analyzing intact samples with the miniaturized spectrometer, sample rotation decreased RMSEP values (~20%). Nevertheless, a fast and simple assessment of compost quality with reasonable prediction performance can also be achieved on intact samples by averaging static measurements acquired at different sample positions.
A Lightweight Model for Weed Detection Based on the Improved YOLOv8s Network in Maize Fields
Authors: Huang Jinyong , Xia Xu , Diao Zhihua , Li Xingyi , Zhao Suna , Zhang Jingcheng , Zhang Baohua , Li Guoqiang
Published: December 2024

To address the issue of the computational intensity and deployment difficulties associated with weed detection models, a lightweight target detection model for weeds based on YOLOv8s in maize fields was proposed in this study. Firstly, a lightweight network, designated as Dualconv High Performance GPU Net (D-PP-HGNet), was constructed on the foundation of the High Performance GPU Net (PP-HGNet) framework. Dualconv was introduced to reduce the computation required to achieve a lightweight design. Furthermore, Adaptive Feature Aggregation Module (AFAM) and Global Max Pooling were incorporated to augment the extraction of salient features in complex scenarios. Then, the newly created network was used to reconstruct the YOLOv8s backbone. Secondly, a four-stage inverted residual moving block (iRMB) was employed to construct a lightweight iDEMA module, which was used to replace the original C2f feature extraction module in the Neck to improve model performance and accuracy. Finally, Dualconv was employed instead of the conventional convolution for downsampling, further diminishing the network load. The new model was fully verified using the established field weed dataset. The test results showed that the modified model exhibited a notable improvement in detection performance compared with YOLOv8s. Accuracy improved from 91.2% to 95.8%, recall from 87.9% to 93.2%, and mAP@0.5 from 90.8% to 94.5%. Furthermore, the number of GFLOPs and the model size were reduced to 12.7 G and 9.1 MB, respectively, representing a decrease of 57.4% and 59.2% compared to the original model. Compared with the prevalent target detection models, such as Faster R-CNN, YOLOv5s, and YOLOv8l, the new model showed superior performance in accuracy and lightweight. The new model proposed in this paper effectively reduces the cost of the required hardware to achieve accurate weed identification in maize fields with limited resources.
Comparative Transcriptome Analysis of Eggplant (Solanum melongena L.) Peels with Different Glossiness
Authors: Wang Hong , Nie Zhixing , Wang Tonglin , Yang Shuhuan , Zheng Jirong
Published: December 2024

Peel glossiness is an important commercial trait of eggplant (Solanum melongena L.). In this study, two eggplant-inbred lines with different levels of peel glossiness were used to identify genes related to peel glossiness. Paraffin section analysis showed that increased wax thickness and wrinkles on the wax surface of eggplant peels decreased glossiness. Differential gene expression related to eggplant peel glossiness was analyzed by comparing the transcriptomes of eggplant peels with different gloss levels and at different developmental stages. The results identified 996 differentially expressed genes (DEGs), including 502 upregulated and 494 downregulated genes, possibly related to eggplant peel glossiness. GO enrichment and KEGG enrichment analyses revealed that the DNA replication pathway (GO:0003688, GO:0006270) and the photosynthesis pathway (map00195) were downregulated and thus may be associated with reduced eggplant peel glossiness. Expression level analysis of eggplant peels with different glossiness levels revealed that a C2H2 transcription factor gene, two ERF transcription factor genes, one long-chain acyl-CoA synthetase gene, and four wax- or cutin-related genes may be associated with the glossiness of eggplant fruit peels. These findings will help guide future genetic improvements in eggplant peel glossiness.
A Novel Approach to Enhancing Pesticide Spraying Effectiveness on Citrus Leaves: Adjusting Soil Moisture Content to Improve Leaf Wettability
Authors: Zhou Xien , Sun Daozong , Xue Xiuyun , Xiahou Bing , Dai Qiufang , Song Shuran
Published: December 2024

To reduce the amount of pesticides in the environment, it is necessary to consider the wettability properties of pesticide droplets on the leaf surface to improve the spraying effect. The wettability properties of the droplet on the leaf surface are related not only to the properties of the liquid itself but also to the properties of the leaf surface. It is typically believed that leaf surface properties are difficult to control, and thus research has generally ignored this aspect of pesticide use. However, in the field environment, the structure and properties of the leaf surface can be altered by changing the moisture content of the soil where plants are grown. In this study, the roughness, contact angle, and surface free energy of the leaf surface were measured and calculated under different soil moisture contents to study the changes in the leaf surface wettability properties, with the aim of achieving efficient pesticide spraying by adjusting the soil water content. The results showed that the surface composition and microstructure of leaves were altered by the change in the soil moisture content, and the wettability properties of leaves decreased initially and then increased with a decrease in the soil moisture content. When the amount of soil water was sufficient or seriously insufficient, the wettability properties of the leaves were increased, but a lack of soil water may lead to irreversible damage to the plants. Therefore, before spraying pesticides on the leaf surfaces, the plants should be fully watered to improve the wettability properties of the leaf surface, which is conducive to the deposition and adhesion of pesticide droplets on the leaf surface and improved application effectiveness. The results of this study can provide a useful reference for the theoretical research and practices of precision spraying.
Fast and Accurate Density Estimation of Hybrid Rice Seedlings Using a Smartphone and an Improved YOLOv8 Model
Authors: Li Zehua , Lin Yongjun , Pan Yihui , Ma Xu , Wu Xiaola
Published: December 2024

In seedling cultivation of hybrid rice, fast estimation of seedling density is of great significance for classifying seedling cultivation. This research presents an improved YOLOv8 model for estimating seedling density at the needle leaf stage. Firstly, the auxiliary frame technology was used to address the problem of locating the detection area of seedlings. Secondly, the Standard Convolution (SConv) layers in the neck network were replaced by the Group Shuffle Convolution (GSConv) layer to lightweight the model. A dynamic head module was added to the head network to enhance the capability of the model to identify seedlings. The CIoU loss function was replaced by the EIoU loss function, enhancing the convergence speed of the model. The results showed that the improved model achieved an average precision of 96.4%; the parameters and floating-point computations (FLOPs) were 7.2 M and 2.4 G. In contrast with the original model, the parameters and FLOPs were reduced by 0.9 M and 0.6 G, and the average precision was improved by 1.9%. Compared with state-of-the-art models such as YOLOv7 et al., the improved YOLOv8 achieved preferred comprehensive performance. Finally, a fast estimation system for hybrid rice seedling density was developed using a smartphone and the improved YOLOv8. The average inference time for each image was 8.5 ms, and the average relative error of detection was 4.98%. The fast estimation system realized portable real-time detection of seedling density, providing technical support for classifying seedling cultivation of hybrid rice.
Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model
Authors: Gong He , Ma Xiaodan , Guo Ying
Published: December 2024

In agriculture and forestry, pest detection is critical for increasing crop yields and reducing economic losses. However, traditional deep learning models face challenges in resource-constrained environments, such as insufficient accuracy, slow inference speed, and large model sizes, which hinder their practical application. To address these issues, this study proposes an improved YOLOv7-tiny model designed to deliver efficient, accurate, and lightweight pest detection solutions. The main improvements are as follows: 1. Lightweight Network Design: The backbone network is optimized by integrating GhostNet and Dynamic Region-Aware Convolution (DRConv) to enhance computational efficiency. 2. Feature Sharing Enhancement: The introduction of a Cross-layer Feature Sharing Network (CotNet Transformer) strengthens feature fusion and extraction capabilities. 3. Activation Function Optimization: The traditional ReLU activation function is replaced with the Gaussian Error Linear Unit (GELU) to improve nonlinear expression and classification performance. Experimental results demonstrate that the improved model surpasses YOLOv7-tiny in accuracy, inference speed, and model size, achieving a MAP@0.5 of 92.8%, reducing inference time to 4.0 milliseconds, and minimizing model size to just 4.8 MB. Additionally, compared to algorithms like Faster R-CNN, SSD, and RetinaNet, the improved model delivers superior detection performance. In conclusion, the improved YOLOv7-tiny provides an efficient and practical solution for intelligent pest detection in agriculture and forestry.
Effects of One-Time Reduced Basal Application of Controlled-Release Nitrogen Fertilizer with Increased Planting Density on Yield and Nitrogen Utilization of Mechanically Transplanted Japonica Rice
Authors: Hu Qun , Gu Yuankun , Lu Xizhan , Jiang Weiqin , Zhang Kaiwei , Zhu Haibin , Li Guangyan , Xu Fangfu , Zhu Ying , Liu Guodong , Gao Hui , Zhang Hongcheng , Wei Haiyan
Published: December 2024

The excessive application of nitrogen (N) fertilizer can result in soil and water pollution, thereby negatively impacting the ecological environment. However, reducing the amount of N fertilizer may lead to a decrease in crop yield. Two years’ experiment (2021 and 2022) investigates the influence of one-time reduced basal application of controlled-release N fertilizer (CRU) and increased planting density on the grain yield and N utilization characteristics of mechanically transplanted japonica rice. Nanjing 5718 was used as the experimental material. Under the condition of 225 kg ha−1 of N, three controlled-release periods of CRUs (60d, 80d, 100d) and three planting densities (6, 8, and 10 seedlings/hole) were combined, totaling nine combinations. Moreover, a conventional split fertilization treatment with 300 kg ha−1 of N and a planting density of 4 seedlings/hole was set as the control (CK). The yield, dry matter accumulation, N accumulation, and N utilization efficiency were evaluated. The research findings demonstrate that the CRU80-6 treatment exhibited the highest efficacy among all N reduction and density increase treatments, resulting in a significant yield increase of 3.1–10.3% compared to other treatments. After the jointing stage, the CRU80-6 treatment exhibited the highest dry matter accumulation compared to other treatments, with an increase ranging from 0.8% to 13.6%, and was significantly lower than that of the CK by 4.3% to 5.0%. The N accumulation and translocation traits of the CRU80-6 treatment closely resembled those of CK. However, both N recovery efficiency (NRE) and N agronomic efficiency (NAE) exhibited a remarkable increase compared to CK, with an average enhancement in NRE of 30.01%. Therefore, we contend that the CRU80-6 treatment, with a 25% reduction in N input, can ensure efficient N utilization and attain a relatively stable grain yield.
Diversity of Sweet Basil Accessions from Croatian National Plant Gene Bank Based on Amplified Fragment Length Polymorphism Markers
Authors: Varga Filip , Vidak Monika , Liber Zlatko , Carović-Stanko Klaudija , Šatović Zlatko
Published: December 2024

This study investigates genetic diversity among five morphotypes and five chemotypes of Ocimum basilicum L. (sweet basil) using amplified fragment length polymorphism (AFLP) markers. Conducted on 80 basil accessions from the Collection of Medicinal and Aromatic Plants of the National Plant Gene Bank of the Republic of Croatia, this research aims to enhance the conservation and utilization of sweet basil’s genetic resources. AFLP analysis using extracted genomic DNA revealed high levels of polymorphism, particularly within the True basil morphotype, which displayed 95.6% polymorphic markers. The results showed genetic differentiation between the morphotypes, particularly between the ’green’ and ’purple’ groups, and within certain chemotypes, such as the High-linalool chemotype (Chemotype A). Principal coordinate analysis (PCoA) and Bayesian clustering further highlighted the genetic structures, with some admixture observed, particularly in the Purple basil B morphotype. Analysis of molecular variance (AMOVA) indicated that most of the genetic diversity was between accessions, emphasizing the value of individual variability. These findings underscore the genetic potential within sweet basil accessions, offering valuable insights for future breeding programs aimed at selecting basil cultivars with tailored biochemical and morphological traits suited for pharmaceutical, culinary, and ornamental applications. The study provides an important basis for the conservation and improvement of basil genetic resources.
Automated Mulched Transplanting of Angelica Seedlings Using a Pneumatic Sowing Device
Authors: Wang Hengtai , Sun Wei , Wang Hucun , Simionescu Petru A.
Published: December 2024

To address the challenges of labor-intensive, inefficient, and inconsistent manual hole sowing and transplanting of Angelica sinensis in rain-fed hilly regions of Northwest China, a pneumatic hole-sowing device was designed based on the principle of electromagnetically controlled, high-speed reciprocating cylinder motion. Considering the agronomic requirements for transplanting mulched Angelica sinensis, the device’s structure and operational parameters were optimized. The key mechanisms involved in hole sowing and seedling placement were analyzed. A pneumatic circuit system, controlled by a relay circuit, was established, and a hole-sowing mechanism with a delayed closure effect was designed. Using the Discrete Element Method (DEM) and Multi-Body Dynamics (MBD) coupling technology, a simulation of the hole-sowing process was conducted to evaluate the device’s performance and its impact on soil disturbance and hole reformation in the seedbed. Prototype device performance tests were conducted, using qualified seeding depth under mulch and hole spacing as indicators. When the theoretical hole spacing was 30 cm and the hole-sowing frequency was 60 plants/(min·row), the soil bin test results indicated a seeding depth qualification rate of 93%, a misalignment rate of 3%, and a spacing qualification rate of 83%; the field test results showed a qualified seeding depth rate under mulch of 96%, the hole misalignment rate was 5%, and the spacing qualified rate was 86%. The pneumatic hole-sowing device’s performance meets the agronomic requirements for vertical transplanting of Angelica sinensis seedlings. This research can serve as a reference for designing planting machinery for rhizomatous medicinal plants.
Impact of Automation Level of Dairy Farms in Northern and Central Germany on Dairy Cattle Welfare
Authors: Lavrijsen-Kromwijk Lianne , Demba Susanne , Müller Ute , Rose Sandra
Published: December 2024

An increasing number of automation technologies for dairy cattle farming, including automatic milking, feeding, manure removal and bedding, are now commercially available. The effects of these technologies on individual aspects of animal welfare have already been explored to some extent. However, as of now, there are no studies that analyze the impact of increasing farm automation through various combinations of these technologies. The objective of this study was to examine potential correlations between welfare indicators from the Welfare Quality® Assessment protocol and dairy farms with varying degrees of automation. To achieve this, 32 trial farms in Northern and Central Germany were categorized into varying automation levels using a newly developed classification system. The Welfare Quality® Assessment protocol was used to conduct welfare assessments on all participating farms. Using analysis of variance (ANOVA), overall welfare scores and individual measures from the protocol were compared across farms with differing automation levels. No significant differences were observed in overall welfare scores, suggesting that the impact of automation does not exceed other farm-related factors influencing animal wellbeing, such as housing environment or management methods. However, significant effects of milking, feeding, and bedding systems on the appropriate behavior of cattle were observed. Higher levels of automation had a positive impact on the human–animal relationship and led to positive emotional states. Moreover, farms with higher automation levels had significantly lower scores for the prevalence of severe lameness and dirtiness of lower legs. It could be concluded that a higher degree of automation could help to improve animal welfare on dairy farms.
Bacterial Pathogen Profiles and Antibiotic Resistance in Pediatric Leukemia Patients: Insights for Optimizing Infection Management in Immunocompromised Children
Authors: Singer Cristina Elena , Popescu Alin Iulian Silviu , Văruț Renata Maria , Popescu Mihaela , Loredana Dira , Radivojevic Kristina , Octavia Petrescu Ileana
Published: December 2024

Background: This study investigates bacterial etiology and antibiotic resistance in pediatric leukemia patients to determine the impact of chronic pathology on treatment efficacy. Methods: Thirty cases of children aged 1–16 years (18 boys, 12 girls) were analyzed, identifying 13 pathogens, including 8 Gram-positive and 5 Gram-negative bacteria. Results: Among the patients, 11 girls presented with acute lymphoblastic leukemia (ALL) type B, while one boy and one girl had acute myeloid leukemia, and, as for boys, three had ALL type T and two had pre-B ALL. The most common pathogens were methicillin-resistant Staphylococcus aureus (MRSA, 11 patients), methicillin-sensitive Staphylococcus aureus (MSSA, 6 patients), Klebsiella spp., and Staphylococcus epidermidis. Due to the patients’ compromised health, most required intensive care and strong antibiotic regimens, including linezolid, vancomycin, and ertapenem, which showed limited resistance. Conclusions: These findings highlight the critical importance of understanding bacterial resistance patterns to guide effective treatments in vulnerable populations. Knowing specific resistance profiles can be lifesaving, allowing for tailored therapies that improve survival rates in children with leukemia facing serious bacterial infections. Focusing on the dual aspects of pediatric patients and multidrug-resistant bacterial infections, this study aims to highlight the importance of addressing these factors together to enhance therapeutic approaches in vulnerable populations.
Study on the Efficacy and Safety of Tedizolid in Japanese Patients
Authors: Ishikawa Kazuhiro , Tsuda Yasumasa , Mori Nobuyoshi
Published: December 2024

Background/Objective: Tedizolid (TZD), an oxazolidinone, causes fewer adverse events than linezolid (LZD). However, studies on the long-term efficacy and safety of TZD, particularly in patients with hematological malignancies (HMs), remain limited. This study aimed to evaluate the safety of long-term TZD use in Japanese patients, including those with HM. Methods: We retrospectively reviewed the medical records of patients aged 15 years and older who received TZD treatment at St. Luke’s International Hospital between 2018 and 2023. Patient demographics, treatment duration, adverse events, and clinical outcomes were analyzed. Results: Data from 35 patients and 40 treatment episodes were analyzed, including 13 episodes in patients with HM, of whom 65.0% were male, with a median age of 69.0 years (IQR: 24.5 years). The median treatment duration was 13.5 days (IQR: 46.8), with a maximum of 203 days. TZD was switched from other anti-MRSA agents in 82.5% of cases, including 42.5% from LZD. One patient discontinued TZD due to liver dysfunction, attributed to concomitant medication use. Clinical cure rates were significantly higher in the non-HM group compared to the HM group (88.9% vs. 38.5%). The 90-day mortality rate differed notably between the HM and non-HM groups (69.2% and 3.7%). Despite 100% microbiological eradication, infection-related mortality rates were 3.7% in the non-HM and 38.5% in the HM group. No reported cases of optic neuritis, Clostridioides difficile colitis, or major bleeding; Conclusions: TZD appears to be safe for long-term use, regardless of HM status, with no major complications observed in this cohort.
Cisplatin-Induced Hearing Loss, Oxidative Stress, and Antioxidants as a Therapeutic Strategy—A State-of-the-Art Review
Authors: Rose Olaf , Croonenberg Tim , Clemens Stephanie , Hinteregger Tobias , Eppacher Stefanie , Huber-Cantonati Petra , Garcia-Miralles Marta , Liuni Raffaella , Dossena Silvia
Published: December 2024

Cisplatin is an established component of treatment protocols for various solid malignancies but carries a significant potential for serious adverse effects. Ototoxicity from cisplatin treatment is an important dose-limiting toxicity that manifests as bilateral, progressive, irreversible, dose-dependent sensorineural hearing loss, ear pain, tinnitus, and vestibular dysfunction. Despite the recent approval of sodium thiosulphate for the prevention of cisplatin-induced hearing loss (CIHL) in pediatric patients, structured prevention programs are not routinely implemented in most hospitals, and reducing platinum-induced ototoxicity in adults remains an important clinical problem without established treatment options. Cochlear oxidative stress plays a fundamental role in CIHL. Here, we review the molecular mechanisms leading to oxidative stress in CIHL and the clinical and preclinical studies testing antioxidants in CIHL to guide future clinical trials in assessing the efficacy and safety of candidate antioxidant compounds in this clinical setting.
Succinate Regulates Endothelial Mitochondrial Function and Barrier Integrity
Authors: Atallah Reham , Gindlhuber Juergen , Platzer Wolfgang , Rajesh Rishi , Heinemann Akos
Published: December 2024

Endothelial dysfunction is a hallmark of several pathological conditions, including cancer, cardiovascular disease and inflammatory disorders. In these conditions, perturbed TCA cycle and subsequent succinate accumulation have been reported. The role of succinate as a regulator of immunological responses and inflammation is increasingly being recognized. Nevertheless, how endothelial cell function and phenotype are altered by elevated intracellular succinate has not been addressed yet. Thus, we employed numerous in vitro functional assays using primary HUVECs and diethyl succinate (DES), a cell membrane-permeable succinate analogue. An MTS assay 1 h post stimulation with DES suggested reduced metabolic activity in HUVECs. Concurrently, elevated production of ROS, including mitochondrial superoxide, and a reduction in mitochondrial membrane potential were observed. These findings were corroborated by Seahorse mito-stress testing, which revealed that DES acutely lowered the OCR, maximal respiration and ATP production. Given the link between mitochondrial stress and apoptosis, we examined important survival signalling pathways. DES transiently reduced ERK1/2 phosphorylation, a response that was followed by a skewed pro-apoptotic shift in the BAX to BCL2L1 gene expression ratio, which coincided with upregulating VEGF gene expression. This indicated an induction of mixed pro-apoptotic and pro-survival signals in the cell. However, the BAX/BCL-XL protein ratio was unchanged, suggesting that the cells did not commit themselves to apoptosis. An MTS assay, caspase 3/7 activity assay and annexin V/propidium iodide staining confirmed this finding. By contrast, stimulation with DES induced acute endothelial barrier permeability, forming intercellular gaps, altering cell size and associated actin filaments without affecting cell count. Notably, during overnight DES exposure gradual recovery of the endothelial barrier and cell sprouting was observed, alongside mitochondrial membrane potential restoration, albeit with sustained ROS production. COX-2 inhibition and EP4 receptor blockade hindered barrier restoration, implicating a role of COX-2/PGE2/EP4 signalling in this process. Interestingly, ascorbic acid pre-treatment prevented DES-induced acute barrier disruption independently from ROS modulation. In conclusion, succinate acts as a significant regulator of endothelial mitochondrial function and barrier integrity, a response that is counterbalanced by upregulated VEGF and prostaglandin production by the endothelial cells.
Optimization of Phenolic Content Extraction and Effects of Drying Treatments on Physicochemical Characteristics and Antioxidant Properties of Edible Mushroom Pleurotus ostreatus (Jacq.) P. Kumm (Oyster Mushroom)
Authors: Villalobos-Pezos Marcelo , Muñoz-Fariña Ociel , Ah-Hen Kong Shun , Garrido-Figueroa María Fernanda , García-Figueroa Olga , González-Esparza Alexandra , González-Pérez de Medina Luisbel , Bastías-Montes José Miguel
Published: December 2024

Edible mushrooms have been part of the human diet for centuries. Traditionally, they have been used for culinary and medicinal purposes due to their chemical composition and nutritional value, including their high antioxidant activity attributed to key metabolites such as phenolic compounds and ergothioneine. P. ostreatus mushrooms, known for their potent antioxidant activity, are prone to spoilage shortly after harvest, making preservation methods necessary. Various drying methods were evaluated to determine their effects on physicochemical characteristics, antioxidant properties, and ergothioneine content. Mushrooms were subjected to freeze-drying (FD), hot-air-drying (HAD), and microwave-vacuum-drying (MVD). The rehydration rate, color, and microstructural characteristics of extracts from fresh and dried P. ostreatus mushrooms were evaluated. Additionally, the total soluble phenolic content and antioxidant activity were assessed using DPPH and ORAC assays, along with the determination of ergothioneine content. FD and HAD at 40 °C showed the best results regarding the physicochemical characteristics. In terms of total soluble phenolic content, antioxidant activity, and ergothioneine content, the mushrooms dried using HAD at 40 °C showed the best retention of bioactive compounds. Among the evaluated methods, HAD at 40 °C proved to be a suitable alternative for processing P. ostreatus.
Mimicking the Effects of Antimicrobial Blue Light: Exploring Single Stressors and Their Impact on Microbial Growth
Authors: Kruszewska-Naczk Beata , Grinholc Mariusz , Rapacka-Zdonczyk Aleksandra
Published: December 2024

Antimicrobial blue light (aBL) has become a promising non-invasive method that uses visible light, typically within the 405–470 nm wavelength range, to efficiently inactivate a wide variety of pathogens. However, the mechanism of antimicrobial blue light (aBL) has not been fully understood. In this study, our research group investigated the sensitivity of Escherichia coli BW25113 single-gene deletion mutants to individual stressors generated by aBL. Sixty-four aBL-sensitive mutants were tested under conditions mimicking the stress generated by irradiation with aBL, with their growth defects compared to the wild-type strain. Results revealed no positive correlation between aBL and single stressors, indicating that aBL’s effectiveness is due to the simultaneous generation of multiple stressors. This multifactorial effect suggests that aBL targets microbial cells more precisely than single stressors such as hydrogen peroxide. No single gene knockout conferred specific resistance, highlighting aBL’s potential as an antimicrobial strategy.
Ultrasonic Molding of Poly(3-hydroxybutyrate) and Its Clay Nanocomposites: Efficient Microspecimens Production with Minimal Material Loss and Degradation
Authors: Pérez Germán , Jin Anyi , del Valle Luis J. , Fontdecaba Enric , Puiggalí Jordi
Published: December 2024

Ultrasound micromolding (USM) is an emerging processing technology that offers advantages with regard to spatial resolution, material savings, minimum time residence, minimum exposure to high temperatures, and low cost. Recent advances have been focused on nodal point technology, which improves the homogeneity of the molded samples and the repeatability of the properties of processed specimens. The present work demonstrates the suitability of a modified USM technology to process the biodegradable poly(3-hydroxybutyrate) (P3HB), which is a polymer that has well-reported difficulties when processed by conventional methods. Specifically, conventional injection, microinjection, and USM technologies with and without nodal point configurations have been compared. Degradation studies and the evaluation of thermal and mechanical properties confirmed the successful preparation of P3HB microspecimens, maintaining their functional integrity with minimal molecular weight loss. Exfoliated clay structures were observed for P3HB nanocomposites incorporating the C20 and C166 clays and processed by USM. The results highlight the advantages of the modified USM technology, as conventional microinjection failed to produce nanocomposites of P3HB/C116 due to the enhanced degradation caused by C116.
A Two-Step Neurorehabilitation Program Utilizing Extended Reality and Telerehabilitation for Children with Cerebral Palsy: A Pilot Study on Effectiveness, Adherence, and Technical Feasibility
Authors: Macchitella Luigi , Accogli Giuseppe , Barraco Giulia , Nicolardi Valentina , Pirani Greta , Ferrante Camilla , Oliva Maria Carmela , Fanizza Isabella , Gallo Ivana , De Rinaldis Marta , Trabacca Antonio
Published: December 2024

In recent years, extended reality (XR) and telerehabilitation (TR) technologies have increasingly been used in the neurorehabilitation of motor dysfunctions in patients with cerebral palsy (CP). The Khymeia Virtual Reality Rehabilitation System (K-VRRS) is a medical device specifically designed for neuromotor rehabilitation, and it can also be used in TR mode. This pilot study aims to evaluate the effectiveness and adherence to a “two-step neuromotor program” (TS-NP) approach using K-VRRS to enhance upper limb motor functions in children with CP. The TS-NP protocol consists of two phases. In the first phase, patients undergo intensive motor training with K-VRRS during a period of hospitalization. In the second phase, initiated after discharge, patients continue K-VRRS treatment at home through TR, building upon the progress made during their hospital stay. A total of seven children with unilateral spastic CP (ages 4–10 years) were assessed at three time points: baseline (T0), after the first phase of in-person hospital treatment (T1), and following the second phase of TR treatment at home (T2). Standardized outcome measures were used, with the primary measure being the Melbourne Assessment 2. Preliminary data support the hypothesis that intensive K-VRRS treatment during hospitalization enhances motor function in the affected upper limb of children with CP. Furthermore, continuing K-VRRS treatment at home through TR appears crucial for maintaining the motor gains achieved during the hospital phase.
Enhancing IoT Network Security Using Feature Selection for Intrusion Detection Systems
Authors: Almohaimeed Muhannad , Albalwy Faisal
Published: December 2024

The Internet of Things (IoT) connects people, devices, and processes in multiple ways, resulting in the rapid transformation of several industries. Apart from several positive impacts, the IoT presents various challenges that must be overcome. Considering that related devices are often resource-constrained and are deployed in insecure environments, the proliferation of IoT devices causes several security concerns. Given these vulnerabilities, this paper presents criteria for identifying those features most closely related to such vulnerabilities to help enhance anomaly-based intrusion detection systems (IDSs). This study uses the RT-IoT2022 dataset, sourced from the UCI Machine Learning Repository, which was specifically developed for real-time IoT intrusion detection tasks. Feature selection is performed by combining the concepts of information gain, gain ratio, correlation-based feature selection, Pearson’s correlation analysis, and symmetric uncertainty. This approach offers new insights into the tasks of detecting and mitigating IoT-based threats by analyzing the major correlations between several features of the network and specific types of attacks, such as the relationship between ‘fwd_init_window_size’ and SYN flood attacks. The proposed IDS framework is an accurate framework that can be integrated with real-time applications and provides a robust solution to IoT security threats. These selected features can be applied to machine learning and deep learning classifiers to further enhance detection capabilities in IoT environments.
Comparative Study of Blockchain Hashing Algorithms with a Proposal for HashLEA
Authors: Sevin Abdullah , Osman Mohammed Abdu Ahmed
Published: December 2024

Blockchain has several unique features: data integrity, security, privacy, and immutability. For this reason, it is considered one of the most promising new technologies for a wide range of applications. Initially prominent in cryptocurrencies such as Bitcoin, its applications have expanded into areas such as the Internet of Things. However, integrating blockchain into IoT systems is challenging due to the limited computing and storage capabilities of IoT devices. Efficient blockchain mining requires lightweight hash functions that balance computational complexity with resource constraints. In this study, we employed a structured methodology to evaluate hash functions for blockchain–IoT systems. Initially, a survey is conducted to identify the most commonly used hash functions in such environments. Also, this study identifies and evaluates a lightweight hash function, designated as HashLEA, for integration within blockchain-based IoT systems. Subsequently, these functions are implemented and evaluated using software coded in C and Node.js, thereby ensuring compatibility and practical applicability. Performance metrics, including software efficiency, hardware implementation, energy consumption, and security assessments, were conducted and analyzed. Ultimately, the most suitable hash functions, including HashLEA for blockchain–IoT applications, are discussed, striking a balance between computational efficiency and robust cryptographic properties. Also, the HashLEA hash function is implemented on a Raspberry Pi 4 with an ARM processor to assess its performance in a real-world blockchain–IoT environment. HashLEA successfully passes security tests, achieving a near-ideal avalanche effect, uniform hash distribution, and low standard deviation. It has been shown to demonstrate superior execution time performance, processing 100 KB messages in 0.157 ms and 10 MB messages in 15.48 ms, which represents a significant improvement in execution time over other alternatives such as Scrypt, X11, and Skein.
Characterization of Several 2-Ethylhexyl Nitrates with Vegetable Oil (Castor or Sunflower Oil) Blends in Triple Blends with Diesel, Working as Advanced Biofuels in C.I. Diesel Engines
Authors: Estevez Rafael , López-Tenllado Francisco J. , Montes Vicente , Romero Antonio A. , Bautista Felipa M. , Luna Diego
Published: December 2024

This study evaluates the performance of biofuels created from triple blends of fossil diesel, sunflower or castor oil (SVOs), and 2-Ethylhexyl Nitrate (EHN), a low-viscosity, high-cetane (LVHC) solvent. EHN reduces the viscosity of SVOs to enable their use in conventional diesel engines without compromising fuel properties. The results show that the power output from these blends is similar to or greater than that of fossil diesel, with comparable fuel consumption. Furthermore, the blends significantly reduce emissions of carbon monoxide (CO) and soot, though NOx emissions are slightly higher due to the nitrogen content in EHN. However, NOx levels remain within permissible limits. The substitution of fossil diesel could be further enhanced if EHN were produced using green hydrogen and lignocellulosic biomass, making it a renewable and sustainable biofuel component. These findings support the potential of EHN/SVO biofuel blends to replace a significant portion of fossil diesel in conventional diesel engines while maintaining performance and reducing harmful emissions, except for a slight increase in NOx.
Effect of Aggregate Crystalline Surface Anisotropy on Asphalt–Aggregate Interface Interaction Based on Molecular Dynamics
Authors: Li Jian , He Liang
Published: December 2024

To investigate the influence of aggregate crystalline surface anisotropy on the interfacial effects and understand the bonding mechanisms, molecular dynamics simulations were employed to analyze the spatial distribution, diffusion, and adhesion properties of asphalt on typical acidic (α-quartz, SiO2) and weakly alkaline (calcite, CaCO3) aggregates. The results indicated that different types and crystalline surfaces of aggregates did not alter the distribution patterns of the asphalt components on their surfaces. However, the magnitude of the radial distribution function (RDF) varied with different crystalline surfaces, and a higher RDF value was correlated with better adhesion performance. Different diffusion behaviors were exhibited by asphalt molecules on different crystalline surfaces: slower diffusion was correlated with stronger adhesion and faster diffusion with weaker adhesion. The adhesion performance was significantly affected by the anisotropy of the aggregates. In the asphalt–SiO2 system, the van der Waals energy and surface atomic density were the major influencing factors, whereas, in the asphalt–CaCO3 system, the electrostatic energy was significantly influenced by ionic bonding. Overall, alkaline aggregates showed greater adhesion performance with asphalt than acidic aggregates.