bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating the Influence of Organic Loading Rate, Temperature and Stirring Speed on Biogas Production Using Agricultural Waste in South Africa
Authors: Sihlangu Ephodia , Magama Primrose , Chiyanzu Idan , Regnier Thierry , Luseba Dibungi , Nephawe Khathutshelo Agree
Published: November 2024

Biogas production offers an alternate method for managing agricultural waste and contributes to sustainable renewable energy generation. Anaerobic digestion (AD) enables the transformation of organic waste, including agricultural substrates, into biogas, mostly consisting of methane, carbon dioxide, and trace gases such as ammonia and hydrogen sulphide. The objective of this study was to employ a 30 L semi-continuous stirred tank reactor to evaluate the effects of organic loading rate, temperature, and speed of stirring on biogas production. The reactor was inoculated with 8.6 L and filled with 11.4 L of a mixed substrate including cattle manure, potato waste, potato starch waste, fruit waste, and expired dry dog food. The reactor was evaluated with organic loading rates (OLRs) of 11.2, 12.2, and 13.2 g VS/L d, and stirring speeds of 25.5, 35.5, and 45.5 rpm. The results indicated that the maximum yield was 12.2 g VS/L d at 45.5 rpm, and in thermophilic conditions, the biogas yield surpassed that of mesophilic conditions, measuring 105,860 NmL/g VS compared to 69,800 NmL/g VS. This study emphasises the significance of optimising operational parameters to improve biogas output, thereby contributing to sustainable energy resources and advancing the Sustainable Development Goals (SDGs).
Sprayable Biodegradable Polyester-Urethane-Urea Mulching Treatment Increases Abundance of Soil Microbes
Authors: Borrowman Cuyler K. , Adhikari Raju , Saito Kei , Little Karen , Gordon Stuart , Patti Antonio F.
Published: November 2024

The paper investigates for the first time the impact of a novel sprayable, biodegradable polyester-urethane-urea (PEUU) mulch on the microbial community composition of an agricultural soil. In this study changes to the composition of the soil microbial community and in soil enzyme activity involved in nutrient cycling were monitored on tomato plants grown under controlled greenhouse conditions. Particular attention was given to impacts on the relative changes in abundance of soil microbes. The PEUU mulch reduced the abundance of a small number of soil microbe taxa, but also provided an environment in which some taxa, which were comparatively rare in initial and unmulched soils, thrived. Importantly, the relative abundances of Azospirillum, Noviherbaspirillum, Exophiala, Phoma, Chaetomium and Clonostachys species all increased in soils treated with PEUU mulch. Principal coordinates analysis revealed the microbial community composition on PEUU films alone and in PEUU treated soil were most similar, while the PEUU films’ microbial community differed the most from the initial soil’s microbial community. These results indicate that from an agricultural productivity and an environmental safety standpoint the use of PEUU mulch may be preferable to PE and could provide additional plant growth benefits by increasing the abundance of soil microbes.
Diversity of Honeybee Behavior Is a Potential Inbuilt Trait for Varroa Tolerance: A Basic Tool for Breeding Varroa-Resistant Strains
Authors: Akongte Peter Njukang , Oh Daegeun , Lee Changhoon , Choi Yongsoo , Kim Dongwon
Published: November 2024

The ectoparasitic mite Varroa destructor is well known for transmitting a number of viruses that can contribute to the collapse of honeybee colonies. To date, the many control measures put in place to limit the spread of V. destructor have yielded no satisfactory results. This is challenging because the effect of the parasite on honeybee colonies is becoming notorious. This has weakened the beekeeping industry and reduced pollination services, which may contribute to global food insecurity in the future. Therefore, it is necessary to put in place possible control measures and outline sustainable approaches to mitigate research efforts against the Varroa destructor. Extensive research to elaborate on the best possible solution has revealed that the selective breeding of naturally occurring V. destructor immune-related traits of honeybee strains is sustainable. Since the Integrated Pest Management approach was introduced, while still being very unreliable, there are open questions as to what control strategy could be considered effective. After cross-examination of existing strategies, a more practical way could be the adoption of an integrated approach. This approach should involve the association of selective breeding of honeybee colonies with V. destructor immune-related traits and the application of soft chemical treatment.
Analysis and Experimentation on the Motion Characteristics of a Dragon Fruit Picking Robot Manipulator
Authors: Lou Kairan , Wang Zongbin , Zhang Bin , Xu Qiu , Fu Wei , Gu Yang , Liu Jinyi
Published: November 2024

Due to the complex growth positions of dragon fruit and the difficulty in robotic picking, this paper proposes a six degrees of freedom dragon fruit picking robot and investigates the manipulator’s motion characteristics to address the adaptive motion issues of the picking manipulator. Based on the agronomic characteristics of dragon fruit cultivation, the structural design of the robot and the dimensions of its manipulator were determined. A kinematic model of the dragon fruit picking robot based on screw theory was established, and the workspace of the manipulator was analyzed using the Monte Carlo method. Furthermore, a dynamic model of the manipulator based on the Kane equation was constructed. Performance experiments under trajectory and non-trajectory planning showed that trajectory planning significantly reduced power consumption and peak torque. Specifically, Joint 3’s power consumption decreased by 62.28%, and during the picking, placing, and resetting stages, the peak torque of Joint 4 under trajectory planning was 10.14 N·m, 12.57 N·m, and 16.85 N·m, respectively, compared to 12.31 N·m, 15.69 N·m, and 22.13 N·m under non-trajectory planning. This indicated that the manipulator operates with less impact and smoother motion under trajectory planning. Comparing the dynamic model simulation and actual testing, the maximum absolute error in the joint torques was −2.76 N·m, verifying the correctness of the dynamic equations. Through field picking experiments, it was verified that the machine’s picking success rate was 66.25%, with an average picking time of 42.4 s per dragon fruit. The manipulator operated smoothly during each picking process. In the study, the dragon fruit picking manipulator exhibited good stability, providing the theoretical foundation and technical support for intelligent dragon fruit picking.
YOLOv8-GDCI: Research on the Phytophthora Blight Detection Method of Different Parts of Chili Based on Improved YOLOv8 Model
Authors: Duan Yulong , Han Weiyu , Guo Peng , Wei Xinhua
Published: November 2024

Smart farms are crucial in modern agriculture, but current object detection algorithms cannot detect chili Phytophthora blight accurately. To solve this, we introduced the YOLOv8-GDCI model, which can detect the disease on leaves, fruits, and stem bifurcations. The model uses RepGFPN for feature fusion, Dysample upsampling for accuracy, CA attention for feature capture, and Inner-MPDIoU loss for small object detection. In addition, we also created a dataset of chili Phytophthora blight on leaves, fruits, and stem bifurcations, and conducted comparative experiments. The results manifest that the YOLOv8-GDCI model demonstrates outstanding performance across a gamut of comprehensive indicators. In comparison with the YOLOv8n model, the YOLOv8-GDCI model demonstrates an improvement of 0.9% in precision, an increase of 1.8% in recall, and a remarkable enhancement of 1.7% in average precision. Although the FPS decreases slightly, it still exceeds the industry standard for real-time object detection (FPS > 60), thus meeting the requirements for real-time detection.
Preharvest Gibberellic Acid Treatment Increases Both Modulus of Elasticity and Resistance in Sweet Cherry Fruit (cv. ‘Bing’ and ‘Lapins’) at Harvest and Postharvest During Storage at 0 °C
Authors: Carrión-Antolí Alberto , Zoffoli Juan Pablo , Serrano María , Valero Daniel , Naranjo Paulina
Published: November 2024

Fruit firmness in sweet cherries (Prunus avium L.) is a critical quality parameter highly valued by consumers as it is associated with fruit freshness. In general, firm fruit also cope better with storage and handling. Gibberellic acid (GA) is commonly used by sweet cherry producers to increase firmness, soluble solids content and fruit size. This study evaluated the effects of GA on the rheological properties of sweet cherry fruit at harvest and postharvest storage. Specifically, GA’s influence on susceptibility to mechanical damage during handling was evaluated. The following GA treatments were applied to two sweet cherry cultivars ‘Bing’ and ‘Lapins’: T0, control, T30—GA at 15 ppm applied at pit-hardening and straw-colour stages; T45—GA at 25 ppm at pit-hardening and GA at 20 ppm at straw-colour; and T60—GA at 30 ppm applied at pit-hardening and straw-colour. The results indicate that GA delayed harvest by two to four days in both cultivars, with ‘Lapins’ also showing a significant increase in fruit size. Regardless of spray concentration, GA increased the modulus of elasticity and fruit resistance evaluated as stress at the maximum point at harvest. These effects persisted after 35 days of storage at 0 °C and an additional three days of shelf-life at 15 °C. While the strain or deformation capacity of the fruit at bioyield at harvest was constant across treatments, it was, however, lower in the GA-treated fruit than in the controls during storage at 0 °C under the high-humidity conditions of modified atmosphere packaging. The less mature fruit harvested at colour 3.0 (red/mahogany) were stiffer (reduced deformation) and more sensitive to induced mechanical injury than the fruit harvested later at colour 3.5 (mahogany). The GA treatments increased fruit resistance to damage without increasing tissue deformability. Other questions associated with stiffer tissues and lower deformability during storage at 0 °C under high humidity should be further studied, specifically cultivars that are naturally high in box-cracking sensitivity during storage.
Spatial Variation and Stock Estimation of Soil Organic Carbon in Cropland in the Black Soil Region of Northeast China
Authors: Li Wenwen , Yang Zhen , Jiang Jie , Sun Guoxin
Published: November 2024

Soil organic carbon (SOC) sequestration in cropland is not only instrumental in combating climate change, but it also significantly enhances soil fertility. It is imperative to precisely and accurately quantify the SOC sequestration potential and assess the relative significance of various multiple explanatory factors in a timely manner. We studied 555 soil samples from the cropland topsoil (0–15 cm) across the black soil region in Northeast China between the years 2021 and 2022, and we identified 16 significant impact factors using one-way ANOVA and Pearson correlation coefficient analysis. In addition, the Random Forest (RF) model outperformed the Cubist model in predicting the spatial distribution of SOC contents. The predicted ranges of SOC contents span from 5.24 to 43.93 g/kg, with the average SOC content using the RF model standing at 17.24 g/kg in Northeast China. Stepwise regression and structural equation modeling revealed climate and topography as key factors affecting SOC distribution. The SOC density in the study area varied from 0.51 to 9.11 kg/m2, averaging 3.30 kg/m2, with a total SOC stock of 1226.64 Tg. The SOC sequestration potential in the study area was estimated at 3057.65 Tg by the categorical maximum method, with a remaining sequestration capacity of 1831.01 Tg. The study area has great potential for SOC sequestration. We hope to transform the theoretical value of SOC sequestration potential into actual SOC sequestration capacity by promoting sustainable agriculture and additional strategies. Our findings provide insights into the global soil conditions, SOC storage capacities, and effective SOC management strategies.
A Comprehensive Review of Low- and Zero-Residue Pesticide Methods in Vegetable Production
Authors: Chikte Tahseen , Kopta Tomas , Psota Václav , Arizmendi Javier , Chwil Mirosława
Published: November 2024

Increasing demand for sustainable vegetable production is leading to low- and zero-pesticide farming practices. This review examines many strategies intended to lower pesticide use without impacting crop quality and production. The use of biopesticides, biological control, integrated pest management (IPM), and organic farming are some of the important techniques that are examined. This investigation also covers cutting-edge technology that improves the efficacy and efficiency of various techniques, such as robots, artificial intelligence (AI), and precision agriculture. A rigorous evaluation of the effects of pesticide residues on the environment and human health emphasises how crucial it is to use fewer pesticides. Market trends and customer preferences are considered, as well as the social and economic effects of implementing these strategies. The paper’s conclusion identifies obstacles to the general adoption of low- and zero-pesticide approaches and makes recommendations for future research topics to overcome these obstacles.
Measuring and Modeling Mechanical Ventilation for Long-Term Environmental Monitoring in Large Commercial Laying Hen House
Authors: Ni Ji-Qin
Published: November 2024

Determining ventilation rates in commercial animal buildings has been technically challenging. This study aimed to develop an innovative method and a ventilation model and provide new insights into animal building ventilation. A layer house with 46 fans was studied over six months. A full-size and fast-response portable fan tester was developed for on-site fan ventilation measurement. Results indicated that the house differential pressures (dP) varied from +10.4 to <−100.0 Pa but remained between −10 and −30 Pa for 75.7% of the time. The mean house dP was −18.1 ± 8.9 Pa (mean ± standard deviation). Fan rotational speeds ranged from 495 to 580 rpm, with an average of 555 ± 14 rpm. Daily mean house ventilation rates ranged from 1800 to 22,142 m3 min−1, averaging 4.68 m3 h−1 per hen. This study concluded that house dP can be greatly affected by strong winds in addition to fan operations and air inlet openings. Fan rotational speeds are influenced by pulley sizes and fan belt maintenance. On-site fan tests with the fan tester can generate reliable data for fan ventilation characterization. Fan models that incorporate both fan rotational speeds and differential pressures considerably improve ventilation rate calculations.
Effect of Different Dietary Doses of Black Soldier Fly Meal on Performance and Egg Quality in Free-Range Reared Laying Hens
Authors: Romero Carlos , Cenalmor Juan Carlos , Chamorro Susana , Redondo César
Published: November 2024

(1) Background: Given the problems currently posed by the use of soybean meal in poultry feeding, its replacement with black soldier fly (BSF) meal may be a suitable strategy. Therefore, this study evaluated the effect of this dietary replacement on laying performance, egg quality, and yolk nutritional composition in free-range reared hens. (2) Methods: Three diets were formulated: a control diet with 210 g/kg of soybean meal, a diet with 105 g/kg of soybean meal and 80 g/kg of BSF meal, and a diet with 160 g/kg of BSF meal. This eight-week-long study was performed with 126 Bovans Brown hens aged 36 weeks (six replicates of seven hens each per dietary treatment); (3) Results: The laying performance of hens was not influenced by the diet consumed. Neither was the yolk content in fat, protein, cholesterol, choline, B vitamins, and cholecalciferol affected. The dietary inclusion of BSF meal made yolk colour score and albumen Haugh units decrease (p < 0.001) by 51.1% and 12.0%, respectively. It also reduced the yolk content in retinol (by 10.1%, p = 0.0037), but it increased that of α- and γ-tocopherol (by 27.6%, p = 0.014, and 25.8%, p = 0.0077, respectively). A negative linear effect (p < 0.001) was observed on yolk zinc concentration and on the proportions of polyunsaturated and ω-3 fatty acids with increasing dietary dose of BSF meal; (4) Conclusions: Soybean meal could be fully replaced by BSF meal in the diet of hens without affecting the laying rate or the egg weight. However, the dietary inclusion of BSF meal led to paler yolks and impaired albumen quality, while it decreased the content of retinol and zinc and the proportions of polyunsaturated and ω-3 fatty acids in egg yolk.
Generation, Characterization, and Preclinical Studies of a Novel NKG2A-Targeted Antibody BRY805 for Cancer Immunotherapy
Authors: Zhou Yaqiong , Wang Yiru , Liang Jinfeng , Qian Jing , Wu Zhenhua , Gao Zhangzhao , Qi Jian , Zhu Shanshan , Li Na , Chen Yao , Chen Gang , Nie Lei , Guo Tingting , Wang Haibin
Published: November 2024

Immuno-oncology has revolutionized cancer treatment, with NKG2A emerging as a novel target for immunotherapy. The blockade of NKG2A using the immune checkpoint inhibitor (ICI) monalizumab has been shown to enhance the responses of both NK cells and CD8+ T cells. However, monalizumab has demonstrated limited efficacy in in vitro cytotoxic assays and clinical trials. In our study, we discovered and characterized a novel anti-NKG2A antibody, BRY805, which exhibits high specificity for the human CD94/NKG2A heterodimer complex and does not bind to the activating NKG2C receptor. In vitro cytotoxicity assays demonstrated that BRY805 effectively activated NK92 cells and primary NK cells, thereby enhancing the cytotoxic activity of effector cells against cancer cells overexpressing HLA-E, with significantly greater efficacy compared to monalizumab. Furthermore, BRY805 exhibited synergistic antitumor activity when combined with PD-L1 monoclonal antibodies. In a mouse xenograft model, BRY805 showed superior tumor control relative to monalizumab and demonstrated a favorable safety profile in non-human primate studies.
Model-Based Dose Identification of Dalbavancin for Long-Term Suppressive Outpatient Treatment of Ventricular Assist Device Infections
Authors: Chiriac Ute , Liebchen Uwe , Frey Otto Roman , Lanzinger Heike , Klein Sabrina , Hoppe-Tichy Torsten , Karck Matthias , Meyer Anna , Morath Benedict
Published: November 2024

Increasing evidence suggests that dalbavancin is an effective long-term treatment for ventricular assist device (VAD) infections, with various prolonged dosing regimens currently in use. This retrospective study aimed to assess dalbavancin pharmacokinetics in VAD patients and identify optimal, feasible dosing regimens for long-term suppressive outpatient therapy. Data from Heidelberg University Hospital’s VAD register were analyzed using non-linear mixed-effects modeling for pharmacokinetic analysis and dosing simulations (Lixoft®). The probability of target attainment (PTA) and cumulative fraction of response (CFR) were calculated for different protein-binding scenarios considering the minimum inhibitory concentration (MIC) distribution of Staphylococcus aureus. Using data from 13 patients with 38 blood samples, a two-compartment model best described the dalbavancin pharmacokinetics, with a typical value for clearance of 0.050 L/h, central volume of distribution of 6.5 L, and peripheral volume of 15.4 L. No covariates significantly improved the model fit. The observed protein binding varied between 96 and 98%. Dosing simulations demonstrated that 1500 mg every 3 weeks ensured the target attainment for stasis at MIC values of 0.125 mg/L (PTA ≥ 90%) up to a protein binding of 99%. Considering the CRF, longer dosing intervals up to 5 weeks might be possible. Depending on individual MICs and protein binding, a dalbavancin regimen of 1500 mg every 3 to 5 weeks therefore appears to be a valuable option for outpatient therapy of VAD infections. Therapeutic drug monitoring should be considered to manage inter-individual variability and to support clinicians in long-term treatments of subacute and chronic infections.
Rapid Detection of Carbapenemases Using NG-Test® CARBA 5 in Positive Blood Cultures: A Diagnostic Test Study
Authors: Munguia-Ramos Diana , Xancal-Salvador Luis Fernando , Esteban-Kenel Verónica , Ortiz-Conchi Narciso , Jaimes-Aquino Ricardo Antonio , Mendoza-Rojas Miguel , Cervantes-Sánchez Axel , Méndez-Ramos Steven , Rivera-Villegas Hector Orlando , Rajme-Lopez Sandra , Tamez-Torres Karla Maria , Roman-Montes Carla Marina , Martínez-Gamboa Areli , Bobadilla del-Valle Miriam , Sifuentes-Osornio Jose , Ponce-de-Leon Alfredo , Gonzalez-Lara Maria Fernanda , Martinez-Guerra Bernardo Alfonso
Published: November 2024

Background: Infections due to carbapenem-resistant Gram-negative bacteria are emerging as an important challenge in health-care settings and a growing concern worldwide. Lateral flow immunoassay NG-Test® CARBA 5 can detect the five most reported carbapenemases (KPC, OXA-48-like, VIM, IMP, and NDM). Direct testing of positive blood cultures could reduce time to detection. This study aims to validate and report on the diagnostic yield of a novel method for carbapenemase detection in positive blood culture vials using NG-Test® CARBA 5. Methods: We implemented an investigator-developed method for the direct testing of positive blood cultures using NG-Test® CARBA 5. We compared results between genotypic, phenotypic, and direct NG-Test® CARBA 5 in blood. Results: A total of 32 isolates were tested (21 Enterobacterales and 11 Pseudomonas aeruginosa). Genotypic testing detected 23 carbapenemases. When comparing the results of NG-Test® CARBA 5 in blood with genotypic testing, agreement was observed in 31/32 (97%) tests. The sensitivity, specificity, positive predictive value, and negative predictive value of the NG-Test® CARBA 5 in blood were 93%, 100%, 100%, and 94%, respectively. Conclusions: Our method using NG-Test® CARBA 5 directly in blood culture samples presented an excellent diagnostic yield when compared to genotypic profiling and permits an accurate detection of carbapenemases.
Data-Driven Insights into the Association Between Oxidative Stress and Calcium-Regulating Proteins in Cardiovascular Disease
Authors: Panday Namuna , Sigdel Dibakar , Adam Irsyad , Ramirez Joseph , Verma Aarushi , Eranki Anirudh N. , Wang Wei , Wang Ding , Ping Peipei
Published: November 2024

A growing body of biomedical literature suggests a bidirectional regulatory relationship between cardiac calcium (Ca2+)-regulating proteins and reactive oxygen species (ROS) that is integral to the pathogenesis of various cardiac disorders via oxidative stress (OS) signaling. To address the challenge of finding hidden connections within the growing volume of biomedical research, we developed a data science pipeline for efficient data extraction, transformation, and loading. Employing the CaseOLAP (Context-Aware Semantic Analytic Processing) algorithm, our pipeline quantifies interactions between 128 human cardiomyocyte Ca2+-regulating proteins and eight cardiovascular disease (CVD) categories. Our machine-learning analysis of CaseOLAP scores reveals that the molecular interfaces of Ca2+-regulating proteins uniquely associate with cardiac arrhythmias and diseases of the cardiac conduction system, distinguishing them from other CVDs. Additionally, a knowledge graph analysis identified 59 of the 128 Ca2+-regulating proteins as involved in OS-related cardiac diseases, with cardiomyopathy emerging as the predominant category. By leveraging a link prediction algorithm, our research illuminates the interactions between Ca2+-regulating proteins, OS, and CVDs. The insights gained from our study provide a deeper understanding of the molecular interplay between cardiac ROS and Ca2+-regulating proteins in the context of CVDs. Such an understanding is essential for the innovation and development of targeted therapeutic strategies.
Mitochondrial Redox Status Regulates Glycogen Metabolism via Glycogen Phosphorylase Activity
Authors: Sakamoto Ikko , Shibuya Shuichi , Nojiri Hidetoshi , Takeno Kotaro , Nishimune Hiroshi , Yaku Keisuke , Nakagawa Takashi , Ishijima Muneaki , Shimizu Takahiko
Published: November 2024

Mitochondria and glycogen are co-distributed in skeletal muscles to regulate the metabolic status. Mitochondria are also redox centers that regulate the muscle function during exercise. However, the pathophysiological relationship between the mitochondrial redox status and glycogen metabolism in the muscle remains unclear. In the present study, we examined the pathological effects of mitochondrial dysfunction induced by mitochondrial superoxide dismutase (SOD2) depletion on glycogen metabolism. We found that muscle glycogen was significantly accumulated in association with motor dysfunction in mice with a muscle-specific SOD2 deficiency. Muscle glycogen phosphorylase (GP-M) activity, which is a key enzyme for glycogen degradation at times when energy is needed (e.g., during exercise), was significantly decreased in the mutant muscle. Moreover, the GP-M activity on normal muscle sections decreased after treatment with paraquat, a superoxide generator. In contrast, treatment with antioxidants reversed the GP-M activity and motor disturbance of the mutant mice, indicating that GP-M activity was reversibly regulated by the redox balance. These results demonstrate that the maintenance of the mitochondrial redox balance regulates glycogen metabolism via GP-M activity.
Ole-Oxy, a Semi-Synthetic Analog of Oleuropein, Ameliorates Acute Skin and Colon Inflammation in Mice
Authors: Angelis Nikolaos V. , Paronis Efthymios , Sarikaki Georgia , Kyriakopoulos Antonios , Agapaki Anna , Niotopoulou Pigi-Maria , Knai Christina C. , Alexakos Pavlos , Liagkas Odyssefs , Mavreas Konstantinos F. , Baxevanis Constantin N. , Skaltsounis Alexios-Leandros , Tsitsilonis Ourania E. , Kostakis Ioannis K.
Published: November 2024

Inflammation is a key process in the pathophysiology of various diseases, with macrophages playing a central role in the inflammatory response. This study investigates the anti-inflammatory potential of a newly synthesized analog of oleuropein (OP), the major olive tree (Olea europaea) metabolite. This derivative of OP, named Ole-Oxy, was designed by introducing an oxygen atom between the aromatic ring and the aliphatic chain of OP, to enhance interaction with proteins and improve bioactivity. Ole-Oxy demonstrated notable anti-inflammatory effects in vitro, particularly in phorbol 12-myristate 13-acetate-differentiated THP-1 macrophages, where it markedly reduced interleukin-6, tumor necrosis factor-α, and reactive oxygen species (ROS) levels, surpassing the effects of OP. In vivo, Ole-Oxy was evaluated in mouse models of acute skin and colon inflammation, showing significant efficacy in C57BL/6J mice, likely due to their Th1-biased immune response. Our results suggest that Ole-Oxy modulates inflammation through ROS scavenging and differential macrophage activation, underscoring the need for further research to fully elucidate its mechanism of action and optimize its pharmacokinetic properties for future therapeutic applications.
Low-Dose Melittin Enhanced Pigment Production Through the Upregulation of Tyrosinase Activity and Dendricity in Melanocytes by Limiting Oxidative Stress: A Therapeutic Implication for Vitiligo
Authors: Tembhre Manoj Kumar , Shipra
Published: November 2024

Melittin is a major active ingredient of the bee venom produced by honeybees (Apis mellifera) that exerts various biological effects, such as anti-inflammatory, anti-tumor, anti-microbial, and antioxidant. The role of melittin in modulating melanin production by melanocytes is not known. Therefore, the present study aimed to study the effect of melittin on melanin production by human melanocytes along with its antioxidant status. Cultured human melanocytes were treated with melittin in a dose- and time-dependent manner, followed by the study of the cell viability, cell proliferation, and total melanin content. The effects of melittin in combination with narrow-band ultraviolet B (NB-UVB) on the total melanin content, melanocyte dendricity, oxidative stress, and the expression of genes associated with melanogenesis were investigated. An increased melanin content was observed with a low dose of melittin (LDM) (alone or in combination with NB-UVB), and there was a corresponding increase in the tyrosinase activity, melanocyte dendricity, and melanogenesis-associated genes. The present study concluded that LDM alone or LDM (+NB-UVB) can induce melanin synthesis by increasing the tyrosinase activity in melanocytes by limiting the oxidative stress, and this may be therapeutically exploited as an adjuvant therapy for vitiligo.
The Potential of Plant Extracts Used in Cosmetic Product Applications—Antioxidants Delivery and Mechanism of Actions
Authors: Gǎlbǎu Cristina-Ştefania , Irimie Marius , Neculau Andrea Elena , Dima Lorena , Pogačnik da Silva Lea , Vârciu Mihai , Badea Mihaela
Published: November 2024

Natural ingredients have been used in skincare products for thousands of years. The current focus is on novel natural bioactivities that shield the skin from UV rays and free radicals, among other damaging elements, while enhancing skin health. Free radicals significantly contribute to skin damage and hasten ageing by interfering with defence and restorative processes. Plants contain natural chemicals that can scavenge free radicals and have antioxidant capabilities. Plant materials are becoming increasingly popular as natural antioxidants related to the expanding interest in plant chemistry. This review focuses on the significance of medicinal plants in skin health and ageing and their potential as a source of antioxidant substances such as vitamins, polyphenols, stilbenes, flavonoids, and methylxanthines.
Hit Identification and Functional Validation of Novel Dual Inhibitors of HDAC8 and Tubulin Identified by Combining Docking and Molecular Dynamics Simulations
Authors: Curcio Antonio , Rocca Roberta , Chiera Federica , Gallo Cantafio Maria Eugenia , Valentino Ilenia , Ganino Ludovica , Murfone Pierpaolo , De Simone Angela , Di Napoli Giulia , Alcaro Stefano , Amodio Nicola , Artese Anna
Published: November 2024

Chromatin organization, which is under the control of histone deacetylases (HDACs), is frequently deregulated in cancer cells. Amongst HDACs, HDAC8 plays an oncogenic role in different neoplasias by acting on both histone and non-histone substrates. Promising anti-cancer strategies have exploited dual-targeting drugs that inhibit both HDAC8 and tubulin. These drugs have shown the potential to enhance the outcome of anti-cancer treatments by simultaneously targeting multiple pathways critical to disease onset and progression. In this study, a structure-based virtual screening (SBVS) of 96403 natural compounds was performed towards the four Class I HDAC isoforms and tubulin. Using molecular docking and molecular dynamics simulations (MDs), we identified two molecules that could selectively interact with HDAC8 and tubulin. CNP0112925 (arundinin), bearing a polyphenolic structure, was confirmed to inhibit HDAC8 activity and tubulin organization, affecting breast cancer cell viability and triggering mitochondrial superoxide production and apoptosis.
(Photo)toxicity of Partially Oxidized Docosahexaenoate and Its Effect on the Formation of Lipofuscin in Cultured Human Retinal Pigment Epithelial Cells
Authors: Bakker Linda M. , Boulton Michael E. , Różanowska Małgorzata B.
Published: November 2024

Docosahexaenoate is a cytoprotective ω-3 polyunsaturated lipid that is abundant in the retina and is essential for its function. Due to its six unsaturated double bonds, docosahexaenoate is highly susceptible to oxidation and the formation of products with photosensitizing properties. This study aimed to test on cultured human retinal pigment epithelial cells ARPE-19 the (photo)cytotoxic potential of partly oxidized docosahexaenoate and its effect on the formation of lipofuscin from phagocytosed photoreceptor outer segments (POSs). The results demonstrate that the cytoprotective effects of docosahexaenoate do not counteract the deleterious effects of its oxidation products, leading to the concentration-dependent loss of cell metabolic activity, which is exacerbated by concomitant exposure to visible light. Partly oxidized docosahexaenoate does not cause permeability of the cell plasma membrane but does cause apoptosis. While vitamin E can provide partial protection from the (photo)toxicity of partly oxidized docosahexaenoate, zeaxanthin undergoes rapid photodegradation and can exacerbate the (photo)toxicity. Feeding cells with POSs enriched in partly oxidized docosahexaenoate results in a greater accumulation of intracellular fluorescent lipofuscin than in cells fed POSs without the addition. In conclusion, partly oxidized docosahexaenoate increases the accumulation of lipofuscin-like intracellular deposits, is cytotoxic, and its toxicity increases during exposure to light. These effects may contribute to the increased progression of geographic atrophy observed after long-term supplementation with docosahexaenoate in age-related macular degeneration patients.
The Impact of Reduced N Fertilization Rates According to the “Farm to Fork” Strategy on the Environment and Human Health
Authors: Kagan Katarzyna , Jonak Kamil , Wolińska Agnieszka
Published: November 2024

The use of synthetic fertilizers, including nitrogen [N] fertilizers, is an indispensable element in today’s agriculture. Through adequate fertilization, farmers have the opportunity to increase crop yields, which is essential in view of the growing population and demand for food. The European Union’s “Farm to Fork” [F2F] strategy, as part of the broader European Green Deal, aims to promote more sustainable agricultural practices by reducing chemical fertilizer use by 20% by 2030. This initiative is designed to mitigate the negative environmental impacts of excessive N application, such as soil and water contamination, greenhouse gas emissions, and biodiversity loss. In addition to addressing ecosystem concerns, this strategy also aims to reduce health risks associated with N overuse, such as the accumulation of nitrates [NO3−] in crops, which can lead to the formation of carcinogenic compounds. By integrating alternative fertilization methods, the agricultural sector can work toward more resilient and environmentally friendly systems while maintaining productivity. This paper focuses on a summary of the current knowledge about the consequences of N fertilization reduction and its connection to the soil environment, crops, yields, and human health.
Improved Visual SLAM Algorithm Based on Dynamic Scenes
Authors: Niu Jinxing , Chen Ziqi , Zhang Tao , Zheng Shiyu
Published: November 2024

This work presents a novel RGB-D dynamic simultaneous localization and mapping (SLAM) method that improves accuracy, stability, and efficiency of localization while relying on deep learning in a dynamic environment, in contrast to traditional static scene-based visual SLAM methods. Based on the classic framework of traditional visual SLAM, we propose a method that replaces the traditional feature extraction method with a convolutional neural network approach, aiming to enhance the accuracy of feature extraction and localization, as well as to improve the algorithm’s ability to capture and represent the characteristics of the entire scene. Subsequently, the semantic segmentation thread was utilized in a target detection network combined with geometric methods to identify potential dynamic areas in the image and generate masks for dynamic objects. Finally, the standard deviation of the depth information of potential dynamic points was calculated to identify true dynamic feature points, to guarantee that static feature points were used for position estimation. We performed experiments based on the public datasets to validate the feasibility of the proposed algorithm. The experimental results indicate that the improved SLAM algorithm, which boasts a reduction in absolute trajectory error (ATE) by approximately 97% compared to traditional static visual SLAM and about 20% compared to traditional dynamic visual SLAM, also exhibited a 68% decrease in computation time compared to well-known dynamic visual SLAM, thereby possessing absolute advantages in both positioning accuracy and operational efficiency.
ADAS Alarm Sound Design for Autonomous Vehicles Based on Local Optimization: A Case Study in Shanghai, China
Authors: Ma Jun , Zuo Yuanyang , Jolimoy Octave , Gong Zaiyan , Xu Wenxia
Published: November 2024

Alarm sounds significantly influence a user’s sensory perception while driving, directly affecting driving judgement and safety. Personal experience and the environment play an important role in information cognition, but they are rarely considered in the current warning design. We propose a methodology enabling engineers and designers to locally optimize the advanced driver-assistance system (ADAS) functions and applied it to the Shanghainese ecosystem to improve performance. The alarm sound content is studied and sorted out to conduct user research and spatial sound collection evaluation. Local optimization and the subdivision of data are carried out to generate a user perception set on which the experimental tests and evaluation analysis are implemented. The framework increases the overall efficiency of auditory warning systems and minimizes Human–Machine Interface misunderstandings, thus providing the optimal security scheme for users.
Drainage Troughs as a Protective Measure in Subway–Pedestrian Collisions: A Multibody Model Evaluation
Authors: Hall Daniel , Gildea Kevin , Simms Ciaran
Published: November 2024

Introduction: Subway–pedestrian collisions are a significant and growing problem, but they are poorly understood. This study presents the first subway–pedestrian collision model with the aim of evaluating the baseline safety performance of an R160 NYC train and track combination and the potential safety effects of drainage trough depth. Methods: A baseline simulation test sample of 384 unique impacts (8 velocities (2–16 m/s), 24 positions (standing jumping and lying), and 2 track types (flat and crossties)) was created in MADYMO. The full simulation test sample (N = 1920) included with various depth drainage troughs (0–1 m). Head injuries and wheel and third rail contacts were evaluated. Results: Limb–wheel contact occurred in 60% of scenarios. Primary and secondary contact HIC15 showed similar high severity, with an HIC15 < 2000 (88% risk of AIS 4+) in 29% of results for both train and ground contact. Impact velocity strongly influences primary contact HIC15 with limited effect on secondary contact. Impact velocities between 6 and 16 m/s showed little change in wheel contact. Increasing the trough depth up to 0.5 m showed a decrease in wheel contact probability with little increase in secondary contact. No further benefits were found above 0.5 m. Conclusions: A subway–pedestrian collision model is presented which predicts that wheel–pedestrian contact risk can be reduced with a 0.5 m drainage trough. The model suggests that slower impact velocities may reduce head injury risk for primary contact; however, this will have less effect on injuries caused by secondary and wheel contact.
Evaluating Environmental Impacts of Urban Development Strategies: A Case Study of the Fontaine d’Ouche District
Authors: Achour Mohamad , Toufaily Mohamad , Avril Ludovic , Betis Gilles , Makhoul Nisrine
Published: November 2024

Life cycle assessment (LCA) is a methodology used to analyze the environmental impacts of a product. Initially, it was applied to buildings only, but recently, it has also been applied to entire neighborhood. This expansion from individual buildings to the neighborhood scale requires additional inputs, such as the impacts of public spaces, transportation, public network systems, and roads. Additionally, conducting an LCA for a neighborhood requires software tools to simulate the neighborhood and databases to store the environmental impacts of all the components integrated into the neighborhood. This paper presents an LCA case study of a neighborhood in Dijon, France. The study aims to analyze the thermal impacts of buildings and the neighborhood with single-, double-, and triple-pane windows. The second part of the study involves two LCA studies using the 1996 version of ecoinvent. The first study is a continuation of the thermal simulation analysis, while the second study compares concrete, masonry, and timber-based construction designs for the neighborhoods. The results show that the heating demands inside the buildings are substantially reduced when transitioning from single- to triple-pane, while the cooling demands show the opposite effect. Furthermore, doubling the width of double-pane windows resulted in less profound environmental damage for the construction, use, and demolition phases compared to single-pane windows, with only the renovation phase being more damaging. Additionally, the comparison between different construction scenarios shows that the timber-based variant is slightly advantageous from an environmental point of view compared to the concrete and masonry designs.
Packaging Design Image Segmentation Based on Improved Full Convolutional Networks
Authors: Zhang Chunxiao , Han Mengmeng , Jia Jingjing , Kim Chulsoo
Published: November 2024

Packaging design plays a critical role in brand recognition and cultural dissemination, yet the traditional design process is time-consuming and dependent on the designer’s technical skills, making it difficult to quickly respond to market changes and consumer demands. In recent years, advancements in machine learning, particularly in the field of natural language processing (NLP), have paved the way for novel methods in other areas, such as image processing and packaging design. This study draws inspiration from advanced NLP techniques and proposes an improved fully convolutional network (FCN) model for image semantic segmentation, which is applied to packaging design. The model integrates superpixel technology, multi-branch networks, dual-attention mechanisms, and edge knowledge distillation in a manner analogous to the approach taken by NLP models in the context of semantic segmentation and context understanding. The experimental results showed that the model achieved significant improvements in accuracy, inference efficiency, and memory usage, with an average accuracy of 96.84% and a false-alarm rate of only 2.78%. Compared to traditional methods, the proposed model achieved over 96% accuracy across 50 packaging design images, with an average segmentation error rate of only 1.42%. By incorporating machine learning techniques from NLP into image processing, this study enhances the overall quality and efficiency of packaging design and provides new directions for the application of advanced technologies across different fields.
FEA-Based Design Procedure for IPMSM and IM for a Hybrid Electric Vehicle
Authors: Roshandel Emad , Mahmoudi Amin , Soong Wen L. , Kahourzade Solmaz , Kalisch Nathan
Published: November 2024

This paper describes the detailed design procedure of electric machines using finite element analysis (FEA). The proposed method uses the available findings from the literature and FEA results for the design procedure. In addition to electromagnetic analysis, thermal analysis is executed to examine the capability of the designed machines for handling the load in terms of thermal limits. It allows for considering the normal and overload performance of the electric machines during design. The proposed design procedure is used for designing a 100 kW induction machine (IM) and interior permanent magnet synchronous machine (IPMSM) for a parallel hybrid electric vehicle (HEV). The differences between the performance parameters of the studied machines are discussed, and the advantages and disadvantages of each design are highlighted. The designed machines are compared with commercially available electrical machines in terms of performance and power density. The comparison demonstrates that the developed machines can offer comparable performance to other designs.
PHR-NFT: Decentralized Blockchain Framework with Hyperledger and NFTs for Secure and Transparent Patient Health Records
Authors: Said Huwida E. , Al Barghuthi Nedaa B. , Badi Sulafa M. , Hashim Faiza , Girija Shini
Published: November 2024

Blockchain technology holds significant promise for healthcare by enhancing the security and integrity of patient health records (PHRs) through decentralized storage and transparent access. However, it has substantial limitations, including problems with scalability, high transaction costs, privacy concerns, and intricate stakeholder access management. This study presents PHR-NFT, a novel framework that strengthens PHR privacy by utilizing Hyperledger Fabric and non-fungible tokens (NFTs) to address these issues. PHR-NFT improves privacy and communication by letting patients keep control of their medical records while permitting temporary, permission-based access by medical professionals. PHR-NFT offers a transparent solution that increases trust among healthcare stakeholders through the robust and decentralized architecture of the Hyperledger Fabric. This study demonstrates the viability and effectiveness of the PHR-NFT framework through performance evaluations focused on transaction latency, throughput, and security. This research has valuable implications for enhancing data privacy and security in healthcare practices and insightful information about blockchain-based healthcare systems.
Integrating a Virtual Assistant by Using the RAG Method and VERTEX AI Framework at Algebra University
Authors: Morić Zlatan , Mršić Leo , Filjak Mario , Đambić Goran
Published: November 2024

The development and testing of a virtual assistant (VA) designed to enhance information retrieval and support in an academic environment are presented in this paper, with the Retrieval-Augmented Generation (RAG) approach being utilized alongside Google’s VERTEX AI Palm-2 model. A novel integration of RAG with contextual learning is introduced in this study, specifically for applications in university contact centers, where accuracy and relevance are considered paramount. The effectiveness of the VA was evaluated through user testing, focusing on two primary hypotheses: first, that the VA can achieve accurate interpretation and response to queries with context-based information, and second, that the VA minimizes potential harm from erroneous responses. In total, 187 participants were involved in the testing, and a diverse set of inquiries was utilized, resulting in 561 query–response interactions that were analyzed. It was shown that contextual data significantly reduced hallucinations and increased response accuracy, thereby underscoring the value of the RAG method in applications requiring high levels of specificity. Furthermore, the study provides empirical insights into the impact of AI-generated hallucinations and response inconsistencies, particularly about structured or procedural data. A framework for mitigating these challenges in future implementations is also offered. The scalability and adaptability of the RAG method in specialized academic contexts are demonstrated in this work, with broader implications for integrating AI-driven VAs across educational and professional domains being highlighted.