bluuebunny/crossref_metadata_2025 huggingface dataset:
Genomic signatures of positive selection in Awarik dromedary camels from southwestern of Saudi Arabia
Authors: Almathen Faisal
Published: September 2024

Introduction

The Awarik camel population in southwestern Saudi Arabia exhibits unique genetic and phenotypic traits compared to other domestic camel populations. This study aims to explore the genomic signatures of positive selection in Awarik camels to understand their evolutionary history and identify genetic adaptations potentially shared with East African camel populations.

Methods

Whole genome sequencing data from nine Awarik camels were analyzed using two robust intra-population haplotype-based statistical methods: integrated haplotype score (iHS) and number of segregating sites by length (nSL). These analyses were conducted to identify candidate regions under positive selection within the Awarik camel genome.

Results and discussion

These analyses identified 66 and 53 candidate selection regions, encompassing 185 and 123 genes, respectively. The iHS analysis revealed significant selection signals on chromosomes 15 and 16, including a robust overlap on chromosome 15 (10 regions) involving the TRNAI-AAU gene, suggesting its critical role in adaptive processes. Additionally, chromosome 3 exhibited the highest number of candidate regions totaling 10. The nSL analysis highlighted statistically significant regions on chromosomes 2 and 7, as well as a high concentration of candidate regions on chromosome 14, totaling five regions. Notably, large candidate regions were also identified on chromosome 11 (200 kb: 51.750–51.950 kb) and chromosome 9 (325 kb: 45.825–46.150 kb). Functional annotation of these genes revealed involvement in diverse biological processes including olfactory activity, immune regulation, metabolism, insulin secretion, reproductive performance, kidney function, and cellular signaling, with specific genes like BAG5, septin 7, SLC13A1, PCED1B, BMPR1B, ZAR1, JAKMIP2, and NOTCH2 highlighted. These findings contribute to our understanding of the adaptive mechanisms of Awarik camels and have important implications for breeding and conservation strategies. Further research on these genetic adaptations, particularly those affecting immune response, is crucial to mitigate the impacts of climate change on camel populations.
Comparative Evaluation of the Antibiotic Resistance Profile of Staphylococcus aureus Isolated From Breeders and Livestock
Authors: Ifediora A. C. , Enya E. , Mbajiuka C. S.
Published: September 2024

Objectives

Animals are a potential source of Methicillin Resistant Staphylococcus aureus. This study evaluated the antibiotics susceptibility pattern of S. aureus isolates from breeders and livestock.

Methods

S. aureus strains were isolated from 180 livestock and 48 livestock farmers and identified using standard methods. Antibiotic susceptibility profiles and MRSA status were determined via disk diffusion susceptibility method.

Results

Among farm workers, 37.5% were colonized by S. aureus, with pig farm workers exhibiting the highest prevalence (56.2%), cattle herders (37.5%), and goat farm workers (18.7%). MRSA carriage among livestock isolates was 41.3%, while, six isolates from the poultry farm worker were MRSA, representing a carriage of 33.3%. Drug susceptibility profiles revealed differential patterns between isolates from breeders and animals. Gentamicin and levofloxacin demonstrated higher efficacy against farm worker isolates compared to animal isolates. Resistance to cefuroxime was higher among animal isolates (84.1%) as against the 66.7% for the breeders.

Conclusion

The identification of multidrug-resistant S. aureus strains underscores the risk posed to humans in contact with animals. These findings stress the importance of monitoring and managing MRSA transmission between animals and humans.
Tracheal Tumors: Clinical Practice Guidelines for Palliative Treatment and Follow-Up
Authors: Piórek Aleksandra , Płużański Adam , Knetki-Wróblewska Magdalena , Winiarczyk Kinga , Tabor Sylwia , Kowalski Dariusz M. , Krzakowski Maciej
Published: September 2024

A substantial portion of patients with advanced cancer cannot be cured, regardless of the therapeutic methods employed. Hence, rational palliative causal treatment becomes crucial. Representative studies specifically addressing the exclusive palliative treatment of patients diagnosed with tracheal cancers have not been identified. In most studies, patients treated palliatively constituted a subset of the overall evaluated group. A thorough literature review was conducted, focusing on three types of palliative treatment: palliative radiotherapy, palliative surgical procedures, and systemic treatment for advanced disease. This review uniquely fills a significant gap in the existing literature by providing the first comprehensive and updated clinical practice guidelines specifically focused on the palliative treatment of tracheal tumors. The proposed guidelines emphasize the unique clinical challenges and treatment strategies pertinent to palliative care in tracheal tumors, which are not adequately covered in existing guidelines for other thoracic malignancies.
Effectiveness of Green Supply Chain in Operations Management; Past Research and Future Agenda
Authors: Mumtaz Laraib , Malik Fozia , Irfan Sana
Published: September 2024

The study aims to study the effectiveness of green supply chain in operations management and its impacts on organizational and environmental performances. An in-depth qualitative study approach was used by analyzing different research articles, how organizations can effectively use green supply chain in operations management. The findings of the study reveal that green supply chain increases the effectiveness of organizational and operational performance by introducing the sustainable products. Furthermore, the study advances the understanding of green supply chain management and its application to operations management. Organizations may enhance their supply chain strategy and their environmental performance by considering the efficacy of sustainable practices, which will provide them a competitive edge. The findings also shows that organization’s may develop a more responsible and resilient supply chain by coordinating operations with sustainability goals, which will benefit not just their bottom line but also the environment and society at large.
Flight Schedule Optimization Considering Fine-Grained Configuration of Slot Coordination Parameters
Authors: Yu Jingyi , Hu Minghua , Zhao Zheng , Jiang Bin
Published: September 2024

In response to the rapid growth of air passenger and cargo transportation services and the sharp increase in congestion at various airports, it is necessary to optimize the allocation of flight schedules. On the basis of reducing the total airport delay time and ensuring the total deviation of flight schedules applied by airlines, it is necessary to consider finely configuring flight schedules with slot coordination parameters, introducing a 5 min slot coordination parameter, and optimizing airport flight schedules in different time periods. This article considers factors such as flight schedule uniqueness, corridor flow restrictions, and time adjustment range limitations to establish a three-objective flight-schedule refinement configuration model, which is solved using the NSGA-II algorithm based on the entropy weight method. Taking Beijing Capital International Airport as an example, the optimized results show that the total flight delay was reduced from 4130 min to 1142 min, and the original delay of 389 flights was reduced to 283 flights. Therefore, flight schedule optimization considering the fine-grained configuration of slot coordination parameters can effectively reduce airport delays, fully utilize time resources, and reduce waste of time slot resources.
Agroecological Assessment of Arable Lands in the Leningrad Region of Russia under the Influence of Climate Change
Authors: Chebykina Ekaterina Yu. , Abakumov Evgeny V.
Published: September 2024

The paper presents an analysis of the influence of climatic characteristics on the rating of land suitability for agricultural use. Soil fertility is one of the most important factors in land productivity and crop capacity; it is a complex value that depends not only on agrophysical and agrochemical soil properties but also on other natural factors, such as climate. There are different methodical approaches for a quantitative assessment of fertility level. The objectives of the research were to understand whether the distributions of active temperature sums and annual precipitation sums have a significant effect on the spatial and temporal heterogeneity of the rating assessment of land suitability for agricultural use in the example of the Leningrad region. The estimation and comparison between Semenov–Blagovidov’s method of quality land estimation and Karmanov’s method of appraisal of soils are given in this article. Karmanov’s method is highlighted in this paper for its ability to assess soil’s ecological indices more effectively than traditional methods. The research suggested that climate change may lead to increased variability in soil quality, with potential benefits for agriculture under certain climate scenarios, but at the same time, excessive temperatures in summer and precipitations might become a limiting factor, pushing down yields. The results of such assessment show that the performed calculation models can be used to forecast crop yields for future periods.
Field Evaluation of Urea Fertilizers Enhanced by Biological Inhibitors or Dual Coating
Authors: Brace Ben E. , Schlossberg Maxim J.
Published: September 2024

Relative to soluble N sources, enhanced-efficiency fertilizers (EEFs) support steady turfgrass growth and dense canopy quality while abating N loss as nitrate, ammonia, and/or N2O from turfgrass systems. Modern EEFs provide turfgrass managers greater operational effect and versatility in their nutrient management efforts and compel field characterization of their temporal response. Likewise, field confirmation of commercial EEF nutrient recovery helps stakeholders select the appropriate EEF for their specific application. Our research objective was to quantify the temporal response of Kentucky bluegrass growth/yield, canopy density and color, and fertilizer N recovery to a practical application of conventional urea or an enhanced-efficiency granular fertilizer. In May 2014 and June 2018, Kentucky bluegrass plots were fertilized by granules of conventional urea, N-(n-butyl) thiophosphoric triamide (NBPT)-, and dicyandiamide (DCD)-stabilized urea, or polymer-/sulfur-coated urea (PSCU) at a N rate of 43.9 kg ha−1 (0.9 lbs/1000 sq. ft.). The dependent variable response over the two growing seasons was highly affected by efficiency enhancement. Following the repeated 16.5-week evaluations, the mean percent of fertilizer N recovered from conventional urea, stabilized urea, and PSCU totaled 57.5, 68.4, and 89.1%, respectively. In the 23 to 51 days from treatment (DFT), recovery of PSCU-N significantly exceeded that from conventional or stabilized urea.
The Influence of Sowing Date on the Primary Yield Components of Maize
Authors: Domokos Zsuzsa , Șimon Alina , Chețan Felicia , Ceclan Ovidiu Adrian , Filip Emanuela , Călugăr Roxana Elena , Vâtcă Sorin Daniel , Duda Marcel Matei
Published: September 2024

The sowing date of maize significantly impacts its main yield elements. The experiment, conducted at the Research and Development Station for Cattle Breeding (R.D.S.C.B.) Târgu Mureș, Sângeorgiu de Mureș, România, from 2018 to 2021, involved nine maize hybrids from different maturity groups, sown on three dates: early sowing (ES) at 6 °C soil temperature, optimal sowing (OS) at 10 °C soil temperature, and late sowing (LS) two weeks after the optimal date. The experiment was placed in a poly-factorial experience of type: A × B × C × C − R: 3 × 9 × 4 − 3, organized according to the subdivided plots method. The study examined the influence of sowing date on grain yield (GY), thousand-kernel weight (TKW), test weight (TW), percentage of grains per cob (% G/C), and grain humidity at harvest (GHH). The results indicated that yield was not negatively impacted by early or late sowing compared to the optimal date, with differences of 52 kg ha−1 between ES and OS, 147 kg ha−1 between ES and LS, and 95 kg ha−1 between OS and LS. ES increased TW (723.4 kg hl−1) and % G/C (86.7%), but reduced GY (13,377 kg ha−1), TKW (335.3 g), and GHH (19.5%). Conversely, LS positively influenced GY (13,524 kg ha−1), TKW (356.7 g), and GHH (23.9%), but negatively affected TW (692.8 kg hl−1) and % G/C (84.9%). Yield data obtained by P9900 and Kapitolis hybrids suggest that they are suitable for early sowing.
Unlocking Cassava Brown Streak Disease Resistance in Cassava: Insights from Genetic Variability and Combining Ability
Authors: Sichalwe Karoline Leonard , Kayondo Siraj Ismail , Edema Richard , Omari Mikidadi Abubakar , Kulembeka Heneriko , Rubaihayo Patrick , Kanju Edward
Published: September 2024

Cassava brown streak disease (CBSD) threatens cassava production in sub-Saharan Africa despite the availability of resistant varieties. Extreme environmental factors weaken plant defenses, reducing CBSD resistance. This study examined CBSD inheritance in cassava populations, assessed genetic variability, and identified superior sources of resistance using F1, S1, and half-sib offspring populations derived from resistant sources. The offspring underwent field evaluation at two distinct sites from 2019 to 2021, and the symptom-free genotypes were analyzed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Resistance to CBSD was categorized as most resistant, resistant, most tolerant, or tolerant based on symptoms and virus titers. The findings indicated that the resistance to CBSD is highly influenced by genotypes, F1/S1 types, and environmental conditions. An analysis of combining abilities revealed significant general combining abilities (GCAs) for CBSD, cassava mosaic disease (CMD), and traits associated with yield. The heritability estimates for resistance to CBSD varied between 43.4% and 63.2% for foliar symptoms and 14.6% and 57.9% for root necrosis across locations. The inheritance pattern involved a combination of additive and recessive genes with selfed (S1) populations displaying stronger and more effective resistance to the disease. The cassava brown streak virus (CBSV) was highly prevalent, and the Ugandan cassava brown streak virus (UCBSV) was not prevalent. Four genotypes were highly resistant to CBSD and could be key sources of resistance to this disease.
Synthesis, Herbicidal Activity, and Molecular Mode of Action Evaluation of Novel Quinazolinone—Phenoxypropionate Hybrids Containing a Diester Moiety
Authors: Wang Shumin , Li Na , Han Shibo , Fu Shuyue , Chen Ke , Cheng Wenjing , Lei Kang
Published: September 2024

To develop aryloxyphenoxypropionate herbicides with novel structure and improved activity, a total of twenty-eight novel quinazolinone–phenoxypropionate derivatives containing a diester moiety were designed and synthesized. The herbicidal bioassay results in the greenhouse showed that QPEP-I-4 exhibited excellent herbicidal activity against E. crusgalli, D. sanguinalis, S. alterniflora, E. indica, and P. alopecuroides with inhibition rates >80% at a dosage of 150 g ha−1 and displayed higher crop safety to G. hirsutum, G. max, and A. hypogaea than the commercial herbicide quizalofop-p-ethyl. Studying the herbicidal mechanism by phenotypic observation, membrane permeability evaluation, and transcriptomic analysis revealed that a growth inhibition of plants by QPPE-I-4 was the result from damage of the plants’ biomembrane. The evaluation of ACCase activity in vivo indicated that QPPE-I-4 could inhibit ACCase and may be a new type of ACCase inhibitor. The present work indicated that QPPE-I-4 could represent a lead compound for further developing novel AOPP herbicides.
Fluids, Vasopressors, and Inotropes to Restore Heart–Vessel Coupling in Sepsis: Treatment Options and Perspectives
Authors: Innocenti Francesca , Palmieri Vittorio , Pini Riccardo
Published: September 2024

Sepsis is a complex syndrome with heterogeneous clinical presentation and outcome, characterized by an abnormal inflammatory response, potentially leading to multiorgan damage and hemodynamic instability. Early resuscitation with fluids and timely control of the source of sepsis are key treatment targets in septic patients. Recommendations on when to add vasopressors and inotropes are mostly empirical and anecdotal, therefore remaining a topic of debate. This narrative review was developed to present and discuss current options in the early management of hemodynamic derangement induced by sepsis. We discuss the strengths and drawbacks of the recommended treatment with fluids and how to optimize volume resuscitation in order to avoid fluid overload or under-resuscitation. The choice and timing of vasopressor use represent hot topics in the early management of septic patients. We describe the advantages and limitations of the early introduction of vasopressors and new catecholamine-sparing strategies. We conclude with a description of the inotropes, considering that the heart plays a key role in the pathophysiology of septic shock.
Investigating Associations between Horse Hoof Conformation and Presence of Lameness
Authors: Mata Fernando , Franca Inês , Araújo José , Paixão Gustavo , Lesniak Kirsty , Cerqueira Joaquim Lima
Published: September 2024

Hoof trimming and shoeing determine the horse’s hoof shape and balance. Hoof conformation plays a crucial role in limb biomechanics and can consequently prevent or predispose to injury. This study investigated the relationship between the morphometric characteristics of the horse’s hoof, specifically, the dorsal hoof wall angle (DHWA), the coronet band circumference (CBC), and lameness in 73 horses categorised as undertaking either show jumping, dressage, or riding school activities. Results from logistic regression indicated that horses with either a combination of acute DHWA with large CBC, or more upright feet with larger DHWA and smaller CBC have higher probabilities of lameness. Show jumping and dressage horses showed a higher prevalence of lameness. Hoof morphometry should be monitored, and podiatric interventions should be regularly scheduled for the maintenance of correct hoof conformation to prevent injury. This study suggests that an aligned hoof–pastern axis managed by a DHWA of around 50 degrees may prevent lameness, with special emphasis on horses in dressage and show jumping activities. On the other hand, we can also speculate that the disturbed axis alignment of DHWA may be a cause of lameness.
Towards Sustainable Antibiotic Use in Aquaculture and Antimicrobial Resistance: Participatory Experts’ Overview and Recommendations
Authors: Farías Daniela R. , Ibarra Rolando , Estévez Rodrigo A. , Tlusty Michael F. , Nyberg Oskar , Troell Max , Avendaño-Herrera Ruben , Norden Wendy
Published: September 2024

Notably, 56 worldwide experts gathered for the Antimicrobial Assessment on Global Aquaculture Production (AGAP) series of workshops to (1) evaluate the current state of knowledge on antimicrobial use and identify existing gaps; (2) formulate strategies to identify ecologically relevant impact indicators and establish thresholds for assessment; (3) identify pivotal socioeconomic factors and effective governance mechanisms essential for implementing monitoring practices in aquaculture and extending them across sectors and countries for aquaculture sustainability; (4) develop pathways to enhance our comprehension between antibiotic use in aquaculture and antimicrobial resistance; and (5) explore potential antibiotic monitoring tools that can be universally adapted and implemented across region and sectors. The main outcomes were a roadmap for establishing investigation priorities on the relevant topics regarding antibiotic use in aquaculture, socioeconomic drivers for using antibiotics and behaviors that need more robust and transparent regulatory frameworks to guide farmers, training on antimicrobial use, and access to veterinarians and extension services agents for education. Overall, the workshop evidenced the power of collaboration in addressing complex global challenges to achieve sustainable aquaculture. Despite diligent efforts, some constraints may have inadvertently narrowed the possibility of having more experts and left some pertinent topics unaddressed, but they are needed in the discussion.
Three in One with Dual-Functional Hydrogel of Lactoferrin/NZ2114/LMSH Promoting Staphylococcus aureus-Infected Wound Healing
Authors: Zhang Kun , Ma Xuanxuan , Teng Da , Mao Ruoyu , Yang Na , Hao Ya , Wang Jianhua
Published: September 2024

Wound infections caused by Staphylococcus aureus often result in localized suppurative lesions that severely impede the healing process, so it is urgent to develop a dress with efficient antimicrobial and pro-healing functions. In this study, the bifunctional injectable hydrogel lactoferrin (Lf)/NZ2114/lithium magnesium silicate hydrogel (LMSH) was first successfully prepared through the electrostatic interaction method. The physical, biological, and efficacy properties are systematically analyzed with good shear-thinning capacity and biocompatibility. More importantly, it inhibits infection and promotes wound healing in a mouse wound infection model after 14 d treatment, and the bactericidal rate and healing rate were over 99.92% and nearly 100%, respectively. Meanwhile, the massive reduction of inflammatory cells, restoration of tissue structure, and angiogenesis in mice showed the anti-inflammatory and pro-healing properties of the hydrogel. The healed wounds showed thickening with more hair follicles and glands, suggesting that the hydrogel Lf/NZ2114/LMSH (Three in One) could be a better dressing candidate for the treatment of S. aureus-induced wound infections.
Recurrent Cystitis in Women—A Real-World Analysis of Bacteria Spectrum and Resistance Situation for Calculated Therapy
Authors: Spachmann Philipp J. , Radlmaier Maximilian , Denzinger Stefan , Burger Maximilian , Breyer Johannes , Otto Wolfgang , Schnabel Marco J. , Vergho Daniel
Published: September 2024

Recurrent cystitis in women represents an everyday challenge; however, little to no data regarding this population are available. This study aimed to evaluate this collective with respect to a rational calculated antibiotic therapy. Urine cultures and antibiograms from a urological office were retrospectively evaluated from patient data collected between January 2017 and June 2019. The evaluation was conducted using SPSS ©. In total, 84 female patients, who were aged between 18 and 87 years old (median 60 years), suffered from recurrent cystitis. Escherichia coli was found in 53.9% of cases, Staphylococcus aureus and enterococci were each found in 6.7%, and Proteus spp. and Streptococcus agalactiae were each found in 5.6%. The resistance levels to ciprofloxacin (CIP), trimethoprim–sulfamethoxazole (TRS), nitrofurantoin (NIT), and nitroxoline (NOX) were 18.2%, 30.7%, 16.1%, and 12.5% in the tested cases, respectively. Regarding E. coli, resistance to CIP, TRS, and NIT was found in 17.8%, 25%, and 4.2% of the tested cases, and no resistance to NOX was found. The resistance level to CIP was in a tolerable range of <20% in the overall cohort and the E. coli subgroup. More than a quarter of the bacteria were resistant to TRS. The low resistance rates for NIT and NOX are remarkable, promoting the use of these substances if they are not yet used.
Reliable Detection of Excessive Sperm Ros Production in Subfertile Patients: How Many Men with Oxidative Stress?
Authors: Calamai Costanza , Chelli Elena , Ammar Oumaima , Tanturli Michele , Vignozzi Linda , Muratori Monica
Published: September 2024

Sperm oxidative stress has been extensively associated to male infertility. However, tests to detect this parameter have not been yet introduced in clinical practice and no definitive data are present on the extent of oxidative stress in male infertility. In this study, we used a novel and reliable flow cytometric method to reveal sperm ROS production in subfertile patients (n = 131) and in healthy donors (n = 31). Oxidative stress was higher in subfertile patients (14.22 [10.21–22.08]%) than in healthy donors (9.75 [8.00–14.90]% (p < 0.01)), but no correlation was found with age, semen quality or sDF. We also failed to detect an increase in sperm ROS production with semen viscosity or leukocytospermia, but a sharp impact of semen bacteria was evident (with bacteria: 31.61 [14.08–46.78]% vs. without bacteria: 14.20 [10.12–22.00]%, p < 0.01). Finally, after establishing a threshold as the 95th percentile in healthy donors, we found that 29% of subfertile patients exceeded this threshold. The percentage decreased to 25.56% when we excluded subjects with bacteriospermia and increased to 60.87% when only these patients were considered. In conclusion, 29% of subfertile patients showed an excessive sperm ROS production. Surprisingly, this parameter appears to be independent from routine semen analysis and even sDF determination, promising to provide additional information on male infertility.
Natural Compounds That Activate the KEAP1/Nrf2 Signaling Pathway as Potential New Drugs in the Treatment of Idiopathic Parkinson’s Disease
Authors: Huenchuguala Sandro , Segura-Aguilar Juan
Published: September 2024

Recently, a single-neuron degeneration model has been proposed to understand the development of idiopathic Parkinson’s disease based on (i) the extremely slow development of the degenerative process before the onset of motor symptoms and during the progression of the disease and (ii) the fact that it is triggered by an endogenous neurotoxin that does not have an expansive character, limiting its neurotoxic effect to single neuromelanin-containing dopaminergic neurons. It has been proposed that aminochrome is the endogenous neurotoxin that triggers the neurodegenerative process in idiopathic Parkinson’s disease by triggering mitochondrial dysfunction, oxidative stress, neuroinflammation, dysfunction of both lysosomal and proteasomal protein degradation, endoplasmic reticulum stress and formation of neurotoxic alpha-synuclein oligomers. Aminochrome is an endogenous neurotoxin that is rapidly reduced by flavoenzymes and/or forms adducts with proteins, which implies that it is impossible for it to have a propagative neurotoxic effect on neighboring neurons. Interestingly, the enzymes DT-diaphorase and glutathione transferase M2-2 prevent the neurotoxic effects of aminochrome. Natural compounds present in fruits, vegetables and other plant products have been shown to activate the KEAP1/Nrf2 signaling pathway by increasing the expression of antioxidant enzymes including DT-diaphorase and glutathione transferase. This review analyzes the possibility of searching for natural compounds that increase the expression of DT-diaphorase and glutathione transferase through activation of the KEAP1/Nrf2 signaling pathway.
Effects of Some Olive Fruits-Derived Products on Oxidative Stress and Cardiovascular Biomarkers on Experimental Diabetes Mellitus
Authors: De La Cruz José Pedro , Iserte-Terrer Laura , Rodríguez-Pérez María Dolores , Ortega-Hombrados Laura , Sánchez-Tévar Ana María , Arrebola-Ramírez María Monsalud , Fernández-Prior María África , Verdugo-Cabello Cristina , Espejo-Calvo Juan Antonio , González-Correa José Antonio
Published: September 2024

The aim of this study is to assess the possible effect of olive seed oil (OSO) and destoned and dehydrated olive oil (DDOO), in comparison with extra-virgin olive oil (EVOO), on some cardiovascular biomarkers in an experimental model of diabetes mellitus. Diabetic animals showed evident alterations in biomarkers involved in the evolution of diabetic vasculopathy, marked by increases in biomarkers that favor vascular damage, which was between 1.5 and five times as many as those in non-diabetic animals, and a smaller number of biomarkers that protect against such damage (25–75% less than in healthy controls) was observed. The three oils administered decreased the concentration of biomarkers of vascular damage (35–45% in the serum lipid profile, 15–40% in early biomarkers of vascular inflammation and 20–60% in platelet aggregation and in thromboxane/prostacyclin imbalance). The greatest effect was by the antioxidant, both in the inhibition of lipid peroxidation and in the increase of glutathione. DDOO showed a significantly greater effect on oxidative stress and on thromboxane/prostacyclin imbalance than those shown by OSO and EVOO. This greater effect may possibly be explained by its higher triterpenoid content (913 mg/kg, compared to 113 mg/kg in OSO and 75 mg/kg in EVOO). We conclude, in the light of the results of this study, that these oils meet two basic conditions: they could improve the yield of the olive industry, and they equal, and may even increase, the beneficial effects of EVOO on cardiovascular disease.
The Effect of Maturity Stage on Polyphenolic Composition, Antioxidant and Anti-Tyrosinase Activities of Ficus rubiginosa Desf. ex Vent. Extracts
Authors: Abualzulof Ghaid W. A. , Scandar Samir , Varfaj Ina , Dalla Costa Vanessa , Sardella Roccaldo , Filippini Raffaella , Piovan Anna , Marcotullio Maria Carla
Published: September 2024

Ficus spp. are often used as food and in traditional medicine, and their biological activities as anti-inflammatory and diuretic, for wound healing, and as antimicrobial agents have been largely reviewed. The aim of this work was to investigate the polyphenol content and the antioxidant and anti-tyrosinase properties of the extracts from F. rubiginosa, a very poorly explored Ficus species. For this purpose, F. rubiginosa leaves were collected at three different maturity stages (H1, H2, and H3), and the environmentally sustainable methanolic extracts were evaluated for the total phenolic content (TPC), total flavonoid content (TFC), and total catechins content (TCC). The polyphenolic profile was studied using HPLC-UV/DAD and UHPLC-MS, and the antioxidant activity was determined in vitro using DPPH, FRAP, and ABTS assays. The study showed that the H2 extract had higher TPC and TFC values (113.50 mg GA/g and 43.27 mg QE/g, respectively) and significant antioxidant activity. Therefore, the H2 extract was selected to study the anti-tyrosinase activity. The results also showed that H2 was able to bind and inhibit tyrosinase, with rutin being the compound responsible for the measured activity on the enzyme.
Evaluating the Geo-Environmental Conditions within a Working Face Using a Hybrid Intelligent Optimization Model
Authors: Guo Changfang , Tan Tingjiang , Ma Liuzhu , Zhang Zhicong , Ma Xiaoping , Zhao Difei , Jiao Wenhua
Published: September 2024

Geological anomalies within the working face likely induce geological disasters, such as water, gas, and coal mine roof fall, directly impacting the rational planning and safe mining of underground resources. Constrained by the conditions of underground closed spaces, effective reconstruction under incomplete and highly sparse projection is the central challenge when evaluating geo-environmental conditions. This work proposes a new hybrid intelligent optimization model (MPGA-SIRT) that integrates a multiple-population genetic algorithm (MPGA) with the simultaneous iterative reconstruction technique (SIRT) to finely reconstruct the geo-environmental conditions within a working face based on electromagnetic wave tomography theory. MPGA-SIRT can provide a more precise initial inversion model for the conventional linear reconstruction technique of SIRT, incorporating a local search property by leveraging the robust global search capacity of MPGA. The advantages of MPGA-SIRT have been demonstrated through numerical modeling, theoretical testing, and engineering practices on the 8208 working face in the Datong mining area, Shanxi Province. In comparison to individual SIRT inversion models, MPGA-SIRT reconstruction yields more accurate and stable performance, as demonstrated by the evolution curve of the objective function and the corresponding convergence tomography results. Consequently, the geomagnetic wave absorption coefficient within the area of reconstruction can be precisely ascertained through the use of our proposed technique. This innovation represents a groundbreaking strategy for assessing geological anomaly zones within a working face. The introduced method stands as a valuable theoretical instrument for confronting the complexities associated with geo-environmental reconstruction in underground engineering.
Nano-CeO2 for the Photocatalytic Degradation of the Complexing Agent Citric Acid in Cu Chemical Mechanical Polishing
Authors: Liu Yihang , Lu Zongmao , Wang Jiajie , Lai Jinghui , Li Ziyang , Zhang Chu , Qi Yuhang
Published: September 2024

Cu interconnect chemical mechanical polishing (CMP) technology has been continuously evolving, leading to increasingly stringent post-CMP cleaning requirements. To address the environmental pollution caused by traditional post-CMP cleaning solutions, we have explored the use of photocatalytic processes to remove citric acid, which is a commonly used complexing agent for CMP. In this study, CeO2 abrasives, characterized by a hardness of 5.5, are extensively employed in CMP. Importantly, CeO2 also exhibits a suitable band structure with a band gap of 2.27 eV, enabling it to photocatalytically remove citric acid, a commonly used complexing agent in Cu CMP. Additionally, the integration of H2O2, an essential oxidant in Cu CMP, enhances the photocatalytic degradation efficiency. The research indicates that the removal rate of single-phase CeO2 was 1.78 mmol/g/h and the degradation efficiency increased by 40% with the addition of H2O2, attributed to the hydroxyl radicals generated from a Fenton-like reaction between H2O2 and CeO2. These findings highlight the potential of photocatalytic processes to improve organic contaminant removal in post-CMP cleaning, offering a more sustainable alternative to conventional practices.
The Influence of Feeding Type on Quality and Nutritional Characteristics of Pork Fat
Authors: Górska Agata , Wirkowska-Wojdyła Magdalena , Ostrowska-Ligęza Ewa , Dasiewicz Krzysztof , Słowiński Mirosław
Published: September 2024

The purpose of the study was to analyze the effect of feeding type on selected quality parameters and the nutritional characteristics of pork fat. Fats were extracted by using the modified Folch method from the groin, jowl and trimming shoulder of pigs fed two types of diets: liquid and dry. The peroxide values and fatty acid profiles, as well as their distribution, in the triacylglycerol molecules were determined. Additionally, nutritional indexes and thermal properties, including the oxidative stability of pork fat, were assessed. Among the tested fats, the groin fat was characterized by the best oxidative stability which did not depend on the diet type used. In the case of jowl and trimming shoulder, a higher share of monounsaturated fatty acids was determined in fats of pigs fed a liquid diet, whereas in the groin, jowl and trimming shoulder fats of pigs fed dry feed, a higher share of polyunsaturated fatty acids was found. Fats extracted from the groin, jowl and trimming shoulder of pigs fed a liquid diet showed a more favorable ratio of n-6 to n-3 acids. Despite the different feeding systems used, tested fats were characterized by a similar distribution of fatty acids in triacylglycerol molecules with a positive effect on fat digestibility. It is worth emphasizing that especially in the case of trimming shoulder fat, the influence of a diet used in pigs’ nutrition on quality parameters was noticeable. The trimming shoulder fat of pigs fed a liquid diet was characterized by a longer induction time of oxidation, contained less saturated fatty acids and presented a more favorable fatty acid profile with a beneficial distribution of fatty acids in triacylglycerol molecules.
Comparative Analysis of Measurement Tools in the Cognex D900 Vision System
Authors: Jancarczyk Daniel , Rysiński Jacek , Worek Jakub
Published: September 2024

This paper presents a comprehensive comparative analysis of the measurement tools in the Cognex D900 vision system, applied within an industrial manufacturing environment focused on quality control. Initially, issues related to vision systems, including their definition, history, and development path, are discussed. The benefits of using vision systems in such industrial scenarios are presented. The analysis examines the operation of selected functions offered by the vision system, comparing two methods of program preparation for inspection: user-configured functions performing the indicated measurements and image analysis using deep learning. The first method allows for the omission of non-critical defects, providing specific dimension values for further analysis by other systems, and features straightforward function configuration with low hardware requirements, with modification times ranging from 30 to 200 ms depending on image detail placement. Conversely, the ViDi tool offers comprehensive image analysis without the need to specify detail features, enabling the detection of any deviations from a reference pattern. Through a series of tests conducted in a high-precision manufacturing environment, this research highlights the strengths, limitations, and practical implications of using advanced vision systems in automated inspection and quality control processes.
A Digital Twin System for Adaptive Aligning of Large Cylindrical Components
Authors: Fan Wei , Xiao Ruoyao , Zhang Jieru , Zheng Linayu , Zhou Jian
Published: September 2024

Most large aerospace cylindrical components still adopt a manual aligning method with low automation, large manual intervention, and heavy dependence on operator workers, resulting in the low quality and efficiency of large component aligning, which seriously prolongs the manufacturing time of aerospace products. To cope with this issue, based on closed-loop adaptive control and digital twin (DT) technologies, an adaptive aligning system for large cylindrical components, i.e., the DT aligning system, is proposed in this study. For the DT aligning system, through the DT multi-dimensional modeling, i.e., geometric modeling, physical modeling, functional modeling, and data modeling, it can be divided into a physical space, a virtue space, and twin data. Note that the association, mapping, and interaction between physical space and virtual space of the aligning system can be realized via the twin data, thereby realizing real-time virtual display, monitoring, and control of the large component aligning. In addition, based on the measured pose data, aligning stress, and predicted aligning error, an adaptive force/position control method for large component aligning is proposed, and it can achieve real-time decision-making and precise execution of the aligning process. Finally, through application validation, the DT process system can realize the real-time status perception and process execution decision during the large component aligning. Finally, through experimental validation, it is found that the proposed system, i.e., the DT aligning system, can improve the quality and efficiency of the large aerospace cylindrical component aligning, as well as the automation and intelligent level of the aligning system.
Coordinated Planning of Soft Open Points and Energy Storage Systems to Enhance Flexibility of Distribution Networks
Authors: Li Jingyu , Zhang Yifan , Lv Chao , Liu Guangchen , Ruan Zhongtian , Zhang Feiyang
Published: September 2024

With the large-scale penetration of distributed generation (DG), the volatility problems of active distribution networks (ADNs) have become more prominent, which can no longer be met by traditional regulation means and need to be regulated by introducing flexible resources. Soft open points (SOP) and energy storage systems (ESS) can regulate the tidal currents on spatial and temporal scales, respectively, to improve the flexibility of ADN. To this end, in-depth consideration of DG admission is given to establish flexibility assessment indicators from the power side of ADN. The conditional deep convolution generative adversarial network (C-DCGAN) is used to generate the output scenario of DG. On this basis, the SOP and ESS two-layer planning models, which take account of the potential for improvement in the flexibility of ADN, are constructed. Among them, the upper layer is the site selection and volume determination layer, which considers the economy of the system with the optimization objective of minimizing the annual integrated cost; the lower layer is the operation optimization layer, which considers the flexibility of the system and takes the highest average daily flexibility level as the optimization objective. The planning model is solved using genetic algorithm-particle swarm optimization (GA-PSO) and second-order cone programming (SOCP). The case analysis verifies the rationality and effectiveness of the planning model.
Research on Critical Quality Feature Recognition and Quality Prediction Method of Machining Based on Information Entropy and XGBoost Hyperparameter Optimization
Authors: Qu Dongyue , Gu Chaoyun , Zhang Hao , Liang Wenchao , Zhang Yuting , Zhan Yong
Published: September 2024

To address the problem of predicting machining quality for critical features in the manufacturing process of mechanical products, a method that combines information entropy and XGBoost (version 2.1.1) hyperparameter optimization is proposed. Initially, machining data of mechanical products are analyzed based on information entropy theory to identify critical quality characteristics. Subsequently, a quality prediction model for these critical features is established using the XGBoost machine learning framework. The model’s hyperparameters are then optimized through Bayesian optimization. This method is applied as a case study to a medium-speed marine diesel engine piston. After the critical quality characteristics in the machining process are identified, the machining quality of these vital characteristics is predicted, and the results are compared with those obtained from a machine learning model without hyperparameter optimization. The findings demonstrate that the proposed method effectively predicts the machining quality of mechanical products.
Application of Surge Arrester in Limiting Voltage Stress at Direct Current Breaker
Authors: Moghbeli Mohammadamin , Mehraeen Shahab , Sen Sudipta
Published: September 2024

Hybrid DC circuit breakers combine mechanical switches with a redirecting current path, typically controlled by power electronic devices, to prevent arcing during switch contact separation. The authors’ past work includes a bipolar hybrid DC circuit breaker that effectively redirects the fault current and returns it to the source. This reduces arcing between the mechanical breaker’s contacts and prevents large voltage overshoots across them. However, the breaker’s performance declines as the upstream line inductance increases, causing overvoltage. This work introduces a modification to the originally proposed hybrid DC breaker to make it suitable to use anywhere along DC grid lines. By using a switch-controlled surge arrester in parallel with the DC breaker, part of the arc energy is dissipated in the surge arrester, preventing an overvoltage across the mechanical switches. Based on the experimental results, the proposed method can effectively interrupt the fault current with minimal arcing and reduce the voltage stress across the mechanical switches. To address practical fault currents, tests at high fault currents (900 A) and voltage levels (500 V) are conducted and compared with simulation models and analytical studies. Furthermore, the application of the breaker for the protection of DC distribution grids is illustrated through simulations, and the procedure for designing the breaker components is explained.
Automated MRI Video Analysis for Pediatric Neuro-Oncology: An Experimental Approach
Authors: Fabijan Artur , Zawadzka-Fabijan Agnieszka , Fabijan Robert , Zakrzewski Krzysztof , Nowosławska Emilia , Kosińska Róża , Polis Bartosz
Published: September 2024

Over the past year, there has been a significant rise in interest in the application of open-source artificial intelligence models (OSAIM) in the field of medicine. An increasing number of studies focus on evaluating the capabilities of these models in image analysis, including magnetic resonance imaging (MRI). This study aimed to investigate whether two of the most popular open-source AI models, namely ChatGPT 4o and Gemini Pro, can analyze MRI video sequences with single-phase contrast in sagittal and frontal projections, depicting a posterior fossa tumor corresponding to a medulloblastoma in a child. The study utilized video files from single-phase contrast-enhanced head MRI in two planes (frontal and sagittal) of a child diagnosed with a posterior fossa tumor, type medulloblastoma, confirmed by histopathological examination. Each model was separately provided with the video file, first in the sagittal plane, analyzing three different sets of commands from the most general to the most specific. The same procedure was applied to the video file in the frontal plane. The Gemini Pro model did not conduct a detailed analysis of the pathological change but correctly identified the content of the video file, indicating it was a brain MRI, and suggested that a specialist in the field should perform the evaluation. Conversely, ChatGPT 4o conducted image analysis but failed to recognize that the content was MRI. The attempts to detect the lesion were random and varied depending on the plane. These models could not accurately identify the video content or indicate the area of the neoplastic change, even after applying detailed queries. The results suggest that despite their widespread use in various fields, these models require further improvements and specialized training to effectively support medical diagnostics.
A Methodology for the Mechanical Design of Pneumatic Joints Using Artificial Neural Networks
Authors: Antonelli Michele Gabrio , Beomonte Zobel Pierluigi , Mattei Enrico , Stampone Nicola
Published: September 2024

The advent of collaborative and soft robotics has reduced the mandatory adoption of safety barriers, pushing human–robot interaction to previously unreachable levels. Due to their reciprocal advantages, integrating these technologies can maximize a device’s performance. However, simplifying assumptions or elementary geometries are often required due to non-linear factors that identify analytical models for designing soft pneumatic actuators for collaborative and soft robotics. Over time, various approaches have been employed to overcome these issues, including finite element analysis, response surface methodology (RSM), and machine learning (ML) algorithms. Based on the latter, in this study, the bending behavior of an externally reinforced soft pneumatic actuator was characterized by the changing geometric and functional parameters, realizing a Bend dataset. This was used to train 14 regression algorithms, and the Bilayered neural network (BNN) was the best. Three different external reinforcements, excluded for the realization of the dataset, were tested by comparing the predicted and experimental bending angles. The BNN demonstrated significantly lower error than that obtained by RSM, validating the methodology and highlighting how ML techniques can advance the prediction and mechanical design of soft pneumatic actuators.