bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two Olea europea extracts reduce deleterious effects induced by lead exposure in a model of neurotoxicity: involvement of the endoplasmic reticulum
Authors: Maiuolo Jessica , Bonacci Sonia , Ruga Stefano , Bosco Francesca , Guarnieri Lorenza , Leo Antonio , Citraro Rita , Ragusa Salvatore , Palma Ernesto , Mollace Vincenzo , Sarro Giovambattista 
Published: March 2024

Abstract
Prolonged exposure to lead has been recognized as harmful to human health as it may cause neurotoxic effects including mitochondrial damage, apoptosis, excitotoxicity, and myelin alterations, among others. Numerous data have shown that consuming olive oil and its valuable components could reduce neurotoxicity and neurodegeneration. Olive oil is traditionally obtained from olive trees; this plant (Olea europeaL.) is an evergreen fruit tree belonging to the Oleaceae family and the genus Olea.
In this manuscript two extracts have been used and compared: the extract from the leaves of Olea europea L, Cultivar Coratina (OE), and the extract derived from OE but with a further sonication process (s-OE). Therefore, the objectives of this experimental work were as follows: 1) To generate an innovative extract; 2) To test both extracts on a model of neurotoxicity (human neurons) induced following lead exposure; 3) To study the mechanisms behind lead-induced neurotoxicity.
The results showed that the mechanism involved in the neurotoxicity of lead included dysfunction of the cellular endoplasmic reticulum, which suffered oxidative damage. Moreover, in all experiments, s-OE was 1) more effective than OE, having greater and better effects against lead-induced damage; 2) dissolved in a smaller amount of EtOH which improved its sustainability.
Mathematical model of tumor immune microenvironment with application to the combined therapy targeting the PD-1/PD-L1 pathway and IL-10 cytokine antibody
Authors: Zhang Zixin , Liang Xiyin , Qin Jianyong , Lei Jinzhi 
Published: March 2024

Abstract

The tumor microenvironment constitutes a sophisticated integrated system shaped by the intricate interplay of tumor cells, immune cells, and cytokines. Within this milieu, the dynamics between immune cells and cytokines play a pivotal role in steering the course of tumor growth and evolution. Despite the maturity of clinical tumor immunotherapy systems, there is a notable gap in the comprehensive simulation of tumor immune response processes, particularly in cytokine-centric research. This study delves into the nuanced regulatory interactions among tumor cells, immune cells, and cytokines to address this gap and simulate the intricacies of the tumor immunotherapy process. We establish a comprehensive modeling and computational framework, integrating PD-1 inhibitors and interleukin-10 (IL-10) antibodies. This research offers a detailed mathematical analysis, shedding light on the profound impact of changes in the immune microenvironment on tumor numbers. Our findings underscore a significant therapeutic effect when administering anti-PD-1 medications or IL-10 inhibitors to individuals with tumors. Notably, an increase in the dosage of each drug correlates with a decrease in the quantity of tumors within the patient's body. Furthermore, the exploration of combination therapy demonstrates a remarkable extension of survival, achieved through reduced drug dosages compared to monotherapy. Based on model simulations, we proposed prognostic predictions by measuring the microenvironmental status before treatment. The results provide a promising avenue that could improve treatment efficacy and provide potential benefits to patients receiving tumor immunotherapy.
Effect of pre-acidification and whey proteins on low-fat Mozzarella cheese during storage: physicochemical, textural, and functional properties
Authors: Zhang Deju , Xiong Juan , Jiang Kai , Zhao Xiaorui , Gan Yiming 
Published: March 2024

Abstract
The aim of the current study was to explore the effect of pre-acidification and whey protein-based fat replacers (CH-4560 and YO-8075) on low-fat Mozzarella cheese (LFC). The color and browning, calcium, meltability, texutre and pizza bake performance of cheeses at 0, 7, 14, 21, 28 days storage was determined, and full-fat cheeses (FFC; milk containing 2.21 g fat/100 g milk) and LFC were manufactured as control. The LFC without fat replacer was harder, less sticky, and had high stretch force and low meltability, as well as poor pizza bake and stretch performance, while these appearance defects were partially corrected via the addition of whey protein concentrates and using pre-acidification. Pre-acidification of cheese milk to pH 5.5 or lower negatively affected the stickiness, and pizza bake, and stretch performance of LFC and LFC with fat replacers. As aging progressed, the meltability, stickiness and stretch performance of Mozzarella cheese improved, whereas the hardness and stretch force of Mozzarella cheese decreased. Our study will provide guidance for the preparation of higher quality low-fat mozzarella cheese.
Integrated Fuzzy Decision Tree based Blockchain Federated Safety- as-a-Service for IIoT
Authors: Tripathi Arun Mani , Umrao Lokendra Singh 
Published: March 2024

Abstract
Blockchains are not appropriate for smart appliances because they are expensive to compute, have a lot of overhead bandwidth and cause delays. Improving data delivery, quality, and precision are especially important for ML. The combination of ML and Blockchain technologies make exact outcomes. The IIoT, has quickly been recognized and is attainment huge attention in educational areas with manufacturing, but IoT solitude danger and privacy exposures are emerging by lack of significant security technology. The Blockchain Driven Cyber-Physical system (BDCPS) is supported by IoT-cloud services. In this paper, Integrated Fuzzy Decision Tree based Blockchain Federated Safety-as-a-Service for IIoT (IFDT-BCF-SAS-IIOT) is proposed. In this study, Lightweight Homomorphic Cryptographic Algorithm is run on separate board system. The suggested system uses Delegated Proof of Work Consensus Protocol to resolve problems likes’ lightweight, warehousing transactions, evaporation, and shipment time. The data flow of blockchain is proposed to establish application of integrated fuzzy decision tree to food traceability. The proposed method is executed in Python, performance of proposed technique is analysed with performance metrics like, accuracy, precision, F1-score, recall, specificity, Mean Absolute Error, MSE, RMSE are analyzed.The proposed IFDT-BCF-SAS-IIOT method attains 32.58%, 26.73% and 24.22%, higher Specificity, 23.58%, 20.73%, 19.32% higher precision, 30.18%, 28.66% and 24.32% higher recall, 21.58%, 20.73%, 18.32% lower RMSE analysed with existing techniques like new blockchain federated safety-as-a-service system for IIoT utilizing ML (NBF-SAS-IIOT), IIoT: requirements, architecture, challenges, future research directions (IIOT-SAS-RAC), differential privacy for IIoT: opportunities, applications, challenges (IIOT-SAS-OAC) respectively.
Interspecific interaction network of mites associated with mango trees
Authors: Melo André S. , Paz-Neto Antônio A. , Melo José W.S. , Gondim-Junior Manoel G.C. 
Published: March 2024

Abstract

Direct and indirect ecological interactions, environmental factors, and the phenology of host plants can shape the way mites interact. These relationships interfere with species occurrence and consequently alter the structure and stability of the intraplant community. We evaluated the associations between mite species and mango trees using a complex network approach. Additionally, we observed a correlation between mite population density and plant phenological stage. Environmental variables, such as average monthly temperature, monthly precipitation, and average monthly relative humidity at different times of the year, were used in the correlation analysis. Network analysis revealed that Amblyseius largoensis, Bdella ueckermanni, Parapronematus acaciae, and Tuckerella ornata occupied central positions in the assembly of mites occurring on mango trees. Environmental variables, average monthly temperature, and monthly precipitation were correlated with the occurrence of Brachytydeus formosa, Cisaberoptus kenyae, Oligonychus punicae, T. ornata, and Vilaia pamithus. We also observed a correlation between the plant phenological stage and population densities of Neoseiulus recifenses, O. punicae, P. acaciae, and V. pamithus.
Automated Glaucoma Detection Techniques: an Article Review
Authors: Abdulsalam Wisal Hashim , Ali Rasha H. , Hussien Samera Shams 
Published: March 2024

Abstract
Glaucoma, a vision-threatening disease, poses a serious concern and requires early detection and intervention to avoid irreversible vision loss. Significant advances in automated glaucoma detection techniques have done through the using of machine and deep learning techniques. An overview of these techniques will be provided in the article review. What sets our review apart is its exclusive focus on ML and DL techniques for glaucoma detection using the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines for filtering the papers. To achieve this, an advanced search on the Scopus database was conducted, specifically looking at research papers from 2023 with the keywords " Glaucoma AND detection OR machine AND learning OR deep AND learning ". Of the 324 papers found, we carefully selected 21 papers to include in our final review using the advanced query. The review offering valuable insights for clinicians and summarizes the recent techniques used by ML and DL for glaucoma detection, including the algorithms, databases, and evaluation criteria.
Sublethal effects of Oberon Speed® on Phytoseiulus persimilis and Amblyseius swirskii (Acari: Phytoseiiidae) and potential compatibility for integrated management of two-spotted spider mite
Authors: Rezaei Elham , Aramideh Shahram , Michaud J. P. , Mirfakhrae Shahram , Forouzan Maryam 
Published: March 2024

Abstract
The two-spotted spider mite, Tetranychus urticae Koch (TSSM), is an important cosmopolitan pest of horticultural crops that is often managed in greenhouses with a combination of acaricides and augmentation of predatory mites. Here we examined the transgenerational effects of low concentrations of a widely-used acaricide, Oberon Speed® (a combination of spiromesifen and abamactin), on the life history of TSSM and two of its predators, Phytoseiulus persimilis Athias-Henriot and Amblyseius swirskii Athias-Henriot (Acari: Phytoseiidae). The concentrations employed corresponded to the LC10, LC20 and LC30 values calculated for TSSM protonymphs 48 h post-exposure in a topical bioassay, which yielded an LC50 value of 207.2 ppm. Parental exposure of TSSM to all three sublethal concentrations increased the total developmental time of progeny; both the LC20 and LC30 treatments reduced adult longevity and number of oviposition days, but only the LC30 treatment increased the preoviposition period. Similarly, both the LC20 and LC30 treatments significantly reduced life table parameters (r, R0, λ, and GRR), and increased generation time (T) and population doubling time (DT).
Although maternal exposure to the acaricide had various impacts on progeny life history, the life table parameters of A. swirskii were largely unaffected in comparison to those of P. persimilis, suggesting the former species would be more compatible for integration with Oberon Speed® for control of TSSM in greenhouse vegetable production.
Does marrying a man who is the eldest son bring happiness to women? Evidence from Japan
Authors: Sato Kazuma 
Published: March 2024

Abstract
The effect of birth order is an interesting topic in economics. Most studies use data from developed countries to show adverse birth order effects, demonstrating that individuals with higher birth orders are more likely to have lower educational attainment and earnings. Furthermore, many studies have revealed adverse effects on other outcomes, such as health, intelligence, and intergenerational effects; however, no studies have focused on the impact of birth order on other household members, such as spouses. This study assesses the birth order effect on spouses’ “subjective well-being.” In particular, we examine how marriage with the eldest-son affects the wife’s happiness using the Japanese General Social Surveys. Our results reveal four findings. First, the wife marrying the eldest son is less happy than the wife marrying the second or younger son. Second, satisfaction declines in the case of the recent wife’s birth cohort (i.e., the 1970s and onward) and marrying the eldest son with no siblings. Third, married men who are the eldest sons are likelier to believe they are responsible for caring for aging parents and tend to help their parents with housework. Fourth, unlike women who marry the second or younger sons, women marrying men who are the eldest sons have no difference in their preference for work and parenting.
JEL Classification: J12, J13, and I3
Spatial-Spectral Graph Convolutional Network for Automatic Pigment Mapping of Historical Artifacts
Authors: Cao Bei , Messinger David 
Published: March 2024

Abstract
Hyperspectral image classification is a challenging task due to the lack of ground-truth labels and high dimensionality of spectral bands. For hyperspectral image (HSI) data of cultural heritage artifacts, which are generally man-made objects, we typically have much higher spatial resolution posing extra challenges. Aiming to differentiate subtle spectral differences between varied pigments with little manual effort, we propose a Spatial-Spectral Graph Convolutional Network (SSGCN) as a powerful learning framework for realizing automatic pigment mapping. First, we introduce a novel spatial pattern descriptor “Edge Response Map" to extract structural information of a training ROI, upon which a Spatial-Spectral graph is built by incorporating spatial node connections into the spectral-based graph. Then, we infuse the Spatial-Spectral graph into the graph convolutional network and build a SSGCN learning pipeline. We train the network on the training ROI via semi-supervised classification. By aggregating node features in terms of spectral affinity and spatial context, SSGCN is capable of learning the intrinsic community structures in a non-linear way, and thus can be directly applied to another region for pigment mapping without ground-truth labels required. Furthermore, the graph-based nature of the approach empowers the SSGCN with scalability to learn new pigment classes by flexibly extending the current model. The experiments on multiple ROIs in the Selden Map of China demonstrate the strength and advantages of our method. Compared to an adaptive density-weighted KNN graph, the Spatial-Spectral graph is able to better identify spatial patterns. With only 15\% labeled training pixels, the SSGCN achieves mean per-class accuracy above 90\%, obtaining automatic pigment mapping on test ROIs with sub-visual spectral differences well discriminated. In terms of classification accuracy and time complexity, the SSGCN greatly outperforms a 3D CNN architecture, HybridSN, and demonstrates much better inductive learning ability on unseen pixels. The proposed graph-based learning pipeline brings a new prospect for processing large-scale HSI classification/clustering in an intelligent manner, and would aid historians in pigment analysis and codicological studies of artifacts with little manual cost.
Factors Correlating to Women's Involvement in Shared Decision-Making Following Caesarean Sections in Amhara Region Referral Hospitals, Ethiopia, 2023
Authors: SEID Tigist , yazie Wassie 
Published: March 2024

Abstract
Introduction: - "Shared decision-making" refers to a collaborative approach to healthcare that elevates the bar for medical judgments. However, not much research has been done on Ethiopian women's involvement in shared decision-making after cesarean sections.
Objective: Factors correlating to women's involvement in shared decision-making following cesarean sections in Amhara region referral hospitals, Ethiopia, 2023.
Methods: The institutional-based cross-sectional study design was directed amongst participants who underwent a cesarean section at Amhara region referral hospitals from June 1 to 30, 2023. A total of 398 postnatal mothers were included through a systematic random sampling method. The files were composed of a semi-structured interview-guided questionnaire. After checking for completeness, data were coded and entered into EPI INFO version 7 and analyzed using SPSS version 23. Multivariable logistics regression analysis was used to identify factors associated with women's involvement in shared decision-making. Statistical significance was declared at a P-value of < 0.05.
Result: Around, 382 women were included making a response rate of 95.97%. The overall prevalence of mothers' involvement in shared decision-making was (35.3%) with a mean of 3.62 and std. deviation of 2.484. %. respondents who had ANC contact4 and above (AOR=2.046, 95% CI: 1.19, 3.493), having information about shared decisions (AOR=2.34, 95% CI: 1.13, 4.83), and respondents who had information about cesarean section (AOR=7.9, 95% CI: 3.71, 17.19) were factors significantly associated with involvement in shared decision-making.
Conclusion and recommendation: - when compared to other studies, the outcome of these investigations was low participation in decision-making had a significant impact on knowing about shared decisions and knowledge about cesarean sections. Consequently, it is critical to focus on raising women's understanding of shared decision-making to improve patient satisfaction and care quality. Referral hospitals and the Amhara Region health office collaborate to improve collaborative decision-making.
Initial experience for treatment of refractory ureterovaginal fistula using self-expandable metal stent (Allium TM stent): a report of four cases and review of literatures
Authors: An Lizhe , Wang Mingrui , Wang Huanrui , Wang Qi , Xu Kexin , Xu Tao , Hu Hao 
Published: March 2024

Abstract
Objective
To report our initial experience in the treatment of refractory ureterovaginal fistula (UVF) with Allium™ stent, and to review related literatures.
Methods
From May 2019 to June 2021, four patients with refractory UVF were treatment with Allium™ stent in our department. Refractory UVF was defined as failure of previous treatment and the patient was not suitable for open or laparoscopic surgery. The process was described as follows, the affected ureter was dilated with balloon followed by placement of Allium™ stent, the stent was finally removed and stent-free was achieved. The perioperative and follow-up data were reviewed.
Results
UVF of these four patients was developed after gynecological surgery. All patients had received previous treatment, including ureteral reimplantation in one patient and endoscopic treatment in three patients. The mean age of patients was 47 (35–54) years. The mean time from fistula diagnosis to Allium™ stent placement was 8 (4–16) months. The mean operative time was 36 (25–50) minutes. All of four patients was confirmed of ureteral stricture intraoperatively. Leakage of urine was disappeared within two days in all patients. No high grade (MCCS Ⅲ or Ⅳ) complications was occurred postoperatively. The mean indwelling time of Allium™ stent was 17 (12–23) months and the mean stent-free follow-up removal was 9 (1–22) months. No patients developed recurrence of leakage or ureteral stricture.
Conclusions
Our initial results and experience showed that it is safe and feasible to treat refractory UVF with Allium™ stent. The long-term follow-up results still need to be verified.
Reversible, Stable and Uniform SERS in a Y-shaped Microfluidic Chip: Chemical Imaging of Concentration Gradients
Authors: Chauvet Fabien 
Published: March 2024

Abstract

Imaging of chemical composition in microfluidic chips is addressed using Surface Enhanced Raman Spectroscopy (SERS). The Y-shaped SERS microfluidic chip used is fabricated by xurography and an electrodeposition method is employed to form a thin nanostructured silver layer over the bottom glass wall of the main microchannel. Used as an immobilized SERS substrate, this layer of silver nanocrystals exhibits an analytical enhancement factor of 5.104 uniformly distributed over its surface (RSD < 7%). These good performances allow the quantitative imaging of transverse diffusion profiles of Crystal Violet (CV) at low concentrations (10-8-10-6 mol/L). The SERS measurement turns out to be reversible at high laser power and this is explained by the thermal desorption of adsorbed CV (photothermal effect). However, too high heating leads to a low amount of adsorbed species and a low SERS signal. This effect is limited by using a fast enough flow inducing a cooling effect. A compromise must be found between laser power and liquid flow rate to enable a reversible and sensitive SERS measurement in the chip. These findings should contribute to the development of imaging, in microfluidic conditions, of the spatiotemporal dynamics of weakly concentrated key molecules involved in chemical, biochemical or biological processes.
Determination the number of food products in closed packages with the help of X-ray imaging and image processing
Authors: GORGULU AHMET , UNLU MEHMET 
Published: March 2024

Abstract
In this research, the determination of the number of products in closed (sealed) and bulk-type packages has been investigated using "X-ray imaging" and "image processing" techniques. A custom image processing program was developed to analyze X-ray images captured at a resolution of 784x1024 pixels. The program assigns numerical values ranging from absolute white to absolute black to each pixel in the image on a scale of 0-255. The number of products that belong to separate groups within each package was calculated by dividing the total grayness value of the group by the average grayness value of a single unit of the product. To minimize fluctuations, we employed moving average grayness values. The grayness values represent the overall intensity or darkness of the pixels in the image. The error rate of the multi-head weighers tested in determining the number of products in closed packages was determined to be 4%, the error rate of the product counting systems was 1.25% and the error rate of the developed X-ray imaging method was 0.25%.
WITHDRAWN: Development of a Bidirectional Charger with Current-Controlled Synchronous Reference Frame Hysteresis Based on Unit Templates
Authors: khali sonia , Khali Fatah 
Published: March 2024

Abstract
The existing distribution networks were not originally designed to accommodate the extensive infrastructure of electric vehicle (EV) charging, potentially leading to power quality (PQ) issues at the point of common coupling (PCC). To address this, a two-mode, unit template-based synchronous reference frame hysteresis current-controlled (SRF-HCC) three-phase Level 2 EV charger is proposed. In the first mode (G2V), the focus is on charging the EV battery from the grid, utilizing current and voltage control techniques to enhance battery life and performance. The second mode (V2G) enables the discharge of the EV's stored energy to the grid, allowing the sale of power to support transient effects on the grid voltage and frequency, thereby enhancing the grid's PQ. The hysteresis current control (HCC) generates switching pulses for both the AC-DC and buck-boost converters. The SRF-based unit template-based control (SRF-UTC) method ensures system stability, voltage, and frequency regulation for power exchange with the grid. The proposed EV charger system consists of a 3-phase bidirectional AC-DC converter, a bidirectional buck-boost converter, and a filter circuit. The system's performance was evaluated through MATLAB/Simulink modeling in two case studies.