bluuebunny/crossref_metadata_2025 huggingface dataset:
UiO-67 Metal–Organic Framework as Advanced Adsorbent for Antiviral Drugs from Water Environment
Authors: Almotiry Sitah , Alhogbi Basma G. , Abdel Salam Mohamed , Jaremko Mariusz
Published: August 2024

Metal–organic frameworks (MOFs) have attained significant usage as adsorbents for antiviral medicines in contemporary times. This study focused on synthesizing a UiO-67 metal–organic framework using the hydrothermal method. The synthesized framework was then characterized using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), thermogravimetric analyses (TGA), and zeta potential measurements. The UiO-67 was then employed for the purpose of assessing the efficiency of various adsorption factors in the removal of antiviral medicines from aqueous solutions, including drugs such as ritonavir (RTV) and lopinavir (LPV), which were extensively used for the treatment of coronavirus (COVID-19) during the pandemic. The variables examined were the quantity of adsorbent used, different pH of the solution, temperature, and contact duration. The experimental findings indicate that the highest level of RTV elimination was 91.2% and of experimental adsorption capacity (qe,exp) was 9.7 mg/g and for LPV this was 85.9%, and (qe,exp) 8.9 mg/g, using 50 mg of UiO-67 at a pH 8, temperature of 298 K, and for 120 min. The impact of contact duration and temperature on the kinetics of adsorption was examined by employing pseudo-first-order and pseudo-second-order kinetic models. The experimental results showed a good match with the pseudo-second-order kinetic model with value of R2 0.99 and the qe,calc was 9.7 RTV and 8.9 mg/g LPV, which is a good match with qe,exp. Also, based on diffusion kinetic studies, the adsorption was confirmed to be catalytic in nature on the surface of the UiO-67 MOFs. A thermodynamic analysis of adsorption was conducted, whereby calculations for the Gibbs free energy change (∆G), enthalpy change (∆H), and entropy change (∆S) were performed. The positive ∆H values confirm the endothermic nature of the adsorption of RTV and LPV by UiO-67. The ΔG values exhibited negativity across all temperatures, suggesting the spontaneous nature of the adsorption process of RTV and LPV by UiO-67 from an aqueous solution. UiO-67 was shown to be highly effective in extracting RTV and LPV from real environmental samples.
A Critical Review of Clay Mineral-Based Photocatalysts for Wastewater Treatment
Authors: Qi Yaozhong , Zhao Sikai , Shen Yanbai , Jiang Xiaoyu , Lv Haiyi , Han Cong , Liu Wenbao , Zhao Qiang
Published: August 2024

This review critically examines the latest advancements in clay mineral-based photocatalysts for water purification. Clay minerals, owing to their natural abundance, low cost, and unique physicochemical properties, have emerged as promising candidates for enhancing photocatalytic efficiency. This article delves into various activation methods for clay minerals, including acid, alkali, calcination, and mechanochemical activation, highlighting their roles in enhancing surface area, creating active sites, and improving photocatalytic performance. Moreover, the review explores various modification strategies for photocatalysts, such as doping with metal and non-metal ions, deposition of metals, and the design of heterojunctions, to further boost photocatalytic activity. In particular, the utilization of kaolinite, montmorillonite, attapulgite, and sepiolite as clay mineral supports for photocatalysts is discussed in detail, showcasing their potential in wastewater treatment. The review underscores the significant strides made in the development of clay mineral-based photocatalysts, highlighting their effectiveness in degrading organic contaminants under light exposure. Nevertheless, there are persisting challenges such as the optimization of loading quantities, improvement in compatibility between clay minerals and photocatalysts, and reduction in preparation costs for large-scale applications. In summary, this review offers valuable insights into the current status of clay mineral-based photocatalysts for water purification, thereby stimulating future research in this promising field.
Cultural Adaptation of Child Discipline Measures for Puerto Rican Mothers: Enhancing the Cultural Sensitivity of Parenting Assessments
Authors: Capellán Jahaira , Crean Hugh F. , Groth Susan W. , Quiñones-Cordero Maria , Pérez-Ramos José G. , Rhee Hyekyun
Published: August 2024

Background/Objectives: Puerto Ricans (PRs) face significant challenges in accessing essential parenting resources and support due to language barriers and lack of culturally appropriate healthcare services, perpetuating health disparities. Cultural adaptation of psychosocial measurement tools is crucial for promoting health equity and improving health outcomes. This study describes the cultural adaptation of two parenting discipline assessment measures for use with Spanish-speaking PR mothers of 2–4-year-old children. Methods: We used a community-engaged, mixed-methods approach to measurement adaptation that involved independent translations (n = 2), back-translations (n = 2), and an adaptation committee (n = 6, including all translators) who reviewed, appraised, and modified survey versions. We conducted cognitive interviews (n = 20) to pretest the semi-finalized Spanish measures and assess mothers’ understanding of survey items. Results: Mothers had a mean age of 28.6 years. Most were married/cohabitating (70%), had a high school diploma or GED (90%), and a household income of less than $40,000 (68%). Indexed children’s mean age was 2.9 years, with most identified by mothers as female (60%). Feedback from the adaptation committee and pretesting participants led to specific changes like rephrasing culturally specific terms and adjusting examples to better fit the daily experiences of PR mothers. Most mothers found the Spanish version of the measures to be clear and culturally relevant. This cultural adaptation process addressed translation inconsistencies and design issues, and better captured culturally relevant discipline practices. Conclusions: Engaging communities in measurement adaptations ensures culturally and linguistically tailored measures that respect participant preferences, strengthen partnerships, and enable interventions to address health disparities, thereby promoting child health.
Transanal Endorectal Pull-Through for Hirschsprung’s Disease: Complications and Lessons from Our Practice and the Literature
Authors: Gołębiewski Andrzej , Anzelewicz Stefan , Sosińska Daria , Osajca-Kanyion Monika
Published: August 2024

Background/Objectives: Hirschsprung’s disease (HD) is a congenital disorder characterised by the absence of ganglion cells in the distal bowel, resulting in functional obstruction. The transanal endorectal pull-through (TEPT) procedure, a minimally invasive approach, aims to treat HD by removing the aganglionic segment. This study assessed the feasibility, safety, and efficacy of single-stage TEPT in paediatric patients, focusing on postoperative complications, bowel function, and quality of life. Methods: A retrospective cohort study was conducted on 150 children who underwent single-stage TEPT from January 2005 to December 2023 at the Medical University of Gdansk. Data were collected from medical records, including demographics, preoperative assessments, surgical details, postoperative management, and follow-up outcomes. Statistical analyses were performed using Microsoft Excel 365 and the programming language Python 3.12. The mean age at surgery was 13 months, with a male-to-female ratio of 2.75:1. The mean operative time was 129 min, and the mean hospital stay was seven days. Results: Postoperative complications included anastomotic leak (4%), wound infections (15%), and enterocolitis (26%). Redo surgeries were required in 18% of cases due to persistent constipation and obstructive symptoms. This article includes a comprehensive review of the literature. Conclusions: TEPT demonstrates a favourable safety profile and efficacy in treating HD, though significant concerns include complications such as enterocolitis and the need for additional surgeries. Surgical expertise and thorough preoperative and postoperative management are crucial to optimising patient outcomes.
Evaluation of the Influence of Varied Juncao Grass Substrates on Physiological and Enzymatic Reactions of Pleurotus ostreatus
Authors: Claude Irambona , Aimable Nsanzinshuti , Mediatrice Hatungimana , Zhou Hengyu , Lin Dongmei , Liu Penghu , Lin Zhanxi
Published: August 2024

Pleurotus ostreutus is one of the world’s most commonly consumed mushrooms. The cultivation of mushrooms using wood resources usually results in environmental issues such as deforestation. Juncao grasses, namely (JJ) Cenchrus fungigraminus, (AR) Saccharum arundinaceum, and (MS) Miscanthus floridulus, supplemented with 20% wheat brain, 1% ground coffee, 1% gysum, and 1% lime, were used as the culture mediums in this research, which offers a composting system with a simple formulation that is cheap and feasible for small farms to use in cultivating oyster mushrooms. The present study assessed the different juncao grasses as substrates for growing Pleurotus ostreatus given their enzyme activities, growth, and yields. The results demonstrated that the yields of pleurotus ostreatus grown on JJ, AR, and MS substrates were significantly different at the level of 0.05 and were recorded as follows: 159.2 g/bag, 132 g/bag, and 65.1 g/bag on average, respectively. The biological efficiency of Pleurotus ostreatus cultivated in three different substrates was 75.2%, 63.4%, and 28.7%, respectively. Lignin peroxidase (LiP) was the most active enzyme in each culture material among the other enzyme activities expressed differently between the substrate and growing stages. At the same time, other enzyme activities were differently expressed between the substrate and different developmental stages. Nutrient analysis revealed significant variations, with differences in polysaccharides, proteins, and amino acids among substrates, as well as the presence of heavy metals such as arsenic, lead, mercury, and cadmium in all samples within safe limits. The obtained results indicated that Saccharum arundinaceum is a good substrate in place of Cenchrus fungigraminus, and that using Miscanthus floridulus is not productive. Moreover, the juncao grasses offer a sustainable approach that reduces reliance on wood-based substrates and enhances environmental sustainability.
Biomarkers That Seem to Have the Greatest Impact on Promoting the Formation of Atherosclerotic Plaque in Current Scientific Research
Authors: Kłosowicz Maksymilian , Leksa Dawid , Bartusik-Aebisher Dorota , Myśliwiec Angelika , Dynarowicz Klaudia , Aebisher David
Published: August 2024

Atherosclerosis is a chronic inflammatory disease that causes degenerative and productive changes in the arteries. The resulting atherosclerotic plaques restrict the vessel lumen, causing blood flow disturbances. Plaques are formed mainly in large- and medium-sized arteries, usually at bends and forks where there is turbulence in blood flow. Depending on their location, they can lead to various disease states such as myocardial infarction, stroke, renal failure, peripheral vascular diseases, or sudden cardiac death. In this work, we reviewed the literature on the early detection of atherosclerosis markers in the application of photodynamic therapy to atherosclerosis-related diseases. Herein, we described the roles of C-reactive protein, insulin, osteopontin, osteoprotegerin, copeptin, the TGF-β cytokine family, and the amino acid homocysteine. Also, we discuss the role of microelements such as iron, copper, zinc, and Vitamin D in promoting the formation of atherosclerotic plaque. Dysregulation of the administered compounds is associated with an increased risk of atherosclerosis. Additionally, taking into account the pathophysiology of atherosclerotic plaque formation, we believe that maintaining homeostasis in the range of biomarkers mentioned in this article is crucial for slowing down the process of atherosclerotic plaque development and the stability of plaque that is already formed.
The Role of WNT3A Protein and Gene Variants in Allergic Rhinitis: A Case-Control Study
Authors: Demir Eksi Durkadin , Gunizi Huseyin
Published: August 2024

Allergic rhinitis (AR) is a prevalent inflammatory disorder of the upper respiratory tract, driven by allergen exposure. Understanding mechanisms and identifying biomarkers for AR could significantly impact diagnosis and treatment. This study aimed to investigate the association between serum Wingless-Type MMTV Integration Site Family, Member 3A (WNT3A) protein levels, WNT3A polymorphisms, and AR. A cohort of 92 AR patients and 86 healthy controls was recruited. Serum WNT3A levels were measured by enzyme-linked immunosorbent assay (ELISA). WNT3A gene polymorphisms (rs752107 and rs3121310) were analyzed using Polymerase Chain Reaction- Restriction Fragment Length Polymorphism (PCR-RFLP) method. The study revealed significantly higher serum WNT3A levels in AR patients compared to controls (p < 0.0001). The impact of WNT3A in the differential diagnosis of AR was determined to be moderate, with an area under the curve (AUC) value of 0.67 (95% Confidence Interval: 0.59–0.75) based on the receiver operating characteristic (ROC) curve analysis. The rs3121310 polymorphism showed a significant association with the GA genotype more prevalent in controls (p < 0.05). However, no significant relationship was observed between rs3121310 genotypes and clinical parameters of the patients. These findings suggest a role for WNT3A in AR pathogenesis, given the elevated serum levels in patients. Larger cohort studies are needed to validate these findings and explore serum WNT3A levels as a biomarker for AR diagnosis and treatment monitoring.
Genetic Analysis of Vitamin C Content in Rapeseed Seedlings by the Major Gene Plus Polygene Mixed Effect Model
Authors: Wang Chao , Wang Tao , Wang Xinfa , Wang Hanzhong , Dun Xiaoling
Published: August 2024

Rapeseed (Brassica napus L.) seedlings are rich in vitamin C (Vc), which is beneficial for humans. Understanding the genetic variance in Vc content has practical significance for the breeding of “oil–vegetable dual-purpose” rapeseed. In this study, the joint segregation analysis of a mixed genetic model of the major gene plus polygene was conducted on the Vc content in rapeseed seedlings. Six generations, including two parents, P1 (high Vc content) and P2 (low Vc content), F1, and the populations of F2, BC1P1, and BC1P2 from two crosses were investigated. Genetic analysis revealed that the genetic model MX2-A-AD was the most fitting genetic model, which indicates that Vc content is controlled by two additive major genes plus additive and dominance polygenes. In addition, the whole heritability in F2 and BC1P1 was higher than that in BC1P2. The largest coefficient of variation for Vc content appeared in the F2 generation. Therefore, for Vc content, the method of single cross recross or single backcross are suggested to transfer major genes, and the selection in F2 would be more efficient than that in other generations. Our findings provide a theoretical basis for the quantitative trait locus (QTL) mapping and breeding of Vc content in rapeseed seedlings.
Effect of Heating Rate on Microstructure and Corrosion Resistance of Quenched and Tempered 8620 Low Carbon Alloy Steel
Authors: Tajmiri Sina , Haider Waseem , Shabib Ishraq
Published: August 2024

In the process of heat treatment of 8620 low alloy steel, the heating rate is a critical parameter that must be carefully controlled to achieve the desired combination of microstructural features, mechanical properties, and corrosion resistance while simultaneously ensuring process efficiency and cost-effectiveness. This study investigates, for the first time, the microstructural evolution and electrochemical properties of 8620 steel under identical quenching and tempering heat treatment routes with slow-rate (SR) and fast-rate (FR) heating rates. Microstructural analysis revealed martensitic phases for SR, while FR exhibited a dual-phase microstructure containing ferrite. Upon tempering, for both samples, the martensite transformed into tempered martensite, with tempered (Temp) FR exhibiting around 50% smaller ferrite grains. Mechanical testing indicated that SR had 17% higher hardness than FR, although hardness decreased after tempering by 22% (SR) and 17% (FR). All electrochemical tests indicated that the as-quenched SR exhibited significantly superior corrosion resistance than FR. For instance, the polarization resistance of SR was 440 Ω higher than that of the FR samples. Tempering resulted in a considerable decrease in corrosion resistance for Temp SR, whereas Temp FR improved. Electrochemical characterization revealed Temp FR displayed close-to-ideal capacitive behavior and low double-layer capacitance, indicating enhanced overall corrosion resistance.
The Relationship between the Fresh Sludge Ceramsite Concrete’s Fluidity and the Sludge Ceramsite’s Dispersion
Authors: Yu Yehan , Xiao Bing , Cao Zihao , Cheng Bingling , Peng Xi , Wang Hui
Published: August 2024

Sludge ceramsite (SC) can be utilized as a lightweight aggregate in concrete, especially in external wall materials, due to the increasing volume of polluted sludge, which contributes to water system deterioration and poses greater threats to human health. The influence of the fresh mortar’s slump flow on the dispersion of ceramsite was studied. The ultrasonic sound velocity, capillary water absorption rate, compressive strength, and coefficient of variation (CV) were measured in this study. Thermogravimetric (TG) analysis, ultra depth-of-field microscope scanning, X-ray diffraction (XRD), scanning electron microscopy (SEM), and energy dispersive spectrometry (EDS) were used to analyze the performance mechanism of the ceramsite concrete. The results indicated that adding SC could reduce the fluidity of the fresh concrete, with a reduction by rates of up to 2.04%. The addition of WRA could improve the fluidity by rates of up to 60.77%. The relationship between the ultrasonic sound speed and the increasing fluidity could be deduced as a negative correlation. The water absorption was negatively correlated with the compressive strength. The concrete with a slump flow of 12.35 and 12.5 cm reached the maximum compressive strength, which had the lowest water absorption, and demonstrated internal homogeneity. The optimum slump flow was 12.35 and 12.5 cm. With the slump flow of 12.5 cm, the corresponding CV was the lowest, showing the optimum SC’s dispersion. Through TG, XRD, and SEM analyses, it was verified that the addition of 0.6% WRA promoted the hydration of cement. In addition, SC increased the hydration products.
A Deep Learning Model for Detecting Fake Medical Images to Mitigate Financial Insurance Fraud
Authors: Arshed Muhammad Asad , Mumtaz Shahzad , Gherghina Ștefan Cristian , Urooj Neelam , Ahmed Saeed , Dewi Christine
Published: August 2024

Artificial Intelligence and Deepfake Technologies have brought a new dimension to the generation of fake data, making it easier and faster than ever before—this fake data could include text, images, sounds, videos, etc. This has brought new challenges that require the faster development of tools and techniques to avoid fraudulent activities at pace and scale. Our focus in this research study is to empirically evaluate the use and effectiveness of deep learning models such as Convolutional Neural Networks (CNNs) and Patch-based Neural Networks in the context of successful identification of real and fake images. We chose the healthcare domain as a potential case study where the fake medical data generation approach could be used to make false insurance claims. For this purpose, we obtained publicly available skin cancer data and used recently introduced stable diffusion approaches—a more effective technique than prior approaches such as Generative Adversarial Network (GAN)—to generate fake skin cancer images. To the best of our knowledge, and based on the literature review, this is one of the few research studies that uses images generated using stable diffusion along with real image data. As part of the exploratory analysis, we analyzed histograms of fake and real images using individual color channels and averaged across training and testing datasets. The histogram analysis demonstrated a clear change by shifting the mean and overall distribution of both real and fake images (more prominent in blue and green) in the training data whereas, in the test data, both means were different from the training data, so it appears to be non-trivial to set a threshold which could give better predictive capability. We also conducted a user study to observe where the naked eye could identify any patterns for classifying real and fake images, and the accuracy of the test data was observed to be 68%. The adoption of deep learning predictive approaches (i.e., patch-based and CNN-based) has demonstrated similar accuracy (~100%) in training and validation subsets of the data, and the same was observed for the test subset with and without StratifiedKFold (k = 3). Our analysis has demonstrated that state-of-the-art exploratory and deep-learning approaches are effective enough to detect images generated from stable diffusion vs. real images.
Structural Insights into Phycocyanin Langmuir–Blodgett Multilayers via Serial Femtosecond Crystallography with X-ray Free-Electron Laser
Authors: Pechkova Eugenia , Speranza Fabio Massimo , Ghisellini Paola , Fiordoro Stefano , Rando Cristina , Eggenhöffner Roberto
Published: August 2024

Serial femtosecond crystallography (SFX) with X-ray free-electron lasers (XFELs) has revolutionized classical X-ray diffraction experiments by utilizing ultra-short, intense, and coherent X-ray pulses. However, the SFX approach still requires thousands of nearly identical samples, leading to significant protein consumption. We propose utilizing Langmuir–Blodgett protein multilayers, which are characterized by long-range order, thermal stability, and the ability to induce protein crystallization, even in proteins that cannot be crystallized by conventional methods. This study aimed to combine the intrinsic properties of Langmuir–Blodgett multilayers with advanced XFEL techniques at the Linac Coherent Light Source. Since the macromolecule organization can be explored in nano or 2D crystals exploiting the properties of SFX–XFEL radiation that enable the capture of high-resolution diffraction images before radiation damage occurs, we propose Langmuir–Blodgett protein nanofilm technology as a novel approach for direct “on-chip” protein sample preparation. The present study extends previous investigations into Langmuir–Blodgett phycocyanin multilayer nanofilms using synchrotron radiation cryo-EM microscopy and second-order nonlinear imaging of chiral crystal (SONICC) experiments. We also examined the thermal stability of phycocyanin Langmuir–Blodgett multilayered films deposited on Si3N4 membranes to evaluate structural changes occurring at 150 °C compared with room temperature. Phycocyanin Langmuir–Blodgett films are worthy of investigation in view of their suitability for tissue engineering and other applications due to their thermal integrity and stability as the results of the present investigation reveal.
Advanced Technologies in Graphene-Based Materials
Authors: Gaidukevic Justina , Barkauskas Jurgis
Published: August 2024

Graphene-based materials, including single layer graphene, laser-induced graphene, carbon nanotubes, graphene oxide, and reduced graphene oxide, have become cornerstones of modern materials science due to their exceptional properties and wide range of potential applications [...]
Predicting X-ray Diffraction Quality of Protein Crystals Using a Deep-Learning Method
Authors: Shen Yujian , Zhu Zhongjie , Xiao Qingjie , Ye Kanglei , Wang Qisheng , Wang Yue , Sun Bo
Published: August 2024

Over the past few decades, significant advancements in protein crystallography have led to a steady increase in the number of determined protein structures. The X-ray diffraction experiment remains one of the primary methods for investigating protein crystal structures. To obtain information about crystal structures, a sufficient number of high-quality crystals are typically required. At present, X-ray diffraction experiments on protein crystals primarily rely on manual selection by experimenters. However, each experiment is not only costly but also time-consuming. To address the urgent need for automatic selection of the proper protein crystal candidates for X-ray diffraction experiments, a protein-crystal-quality classification network, leveraging the ConvNeXt network architecture, is proposed. Subsequently, a new database is created, which includes protein crystal images and their corresponding X-ray diffraction images. Additionally, a novel method for categorizing protein quality based on the number of diffraction spots and the resolution is introduced. To further enhance the network’s focus on essential features of protein crystal images, a CBAM (Convolutional Block Attention Module) attention mechanism is incorporated between convolution layers. The experimental results demonstrate that the network achieves significant improvement in performing the prediction task, thereby effectively enhancing the probability of high-quality crystals being selected by experimenters.
Syringophilid Quill Mites Obey Harrison’s Rule
Authors: Rózsa Lajos , Ianculescu Mónika , Hromada Martin
Published: August 2024

Harrison’s Rule (HR) postulates a positive allometry between host and parasite body sizes. We tested HR for Syringophilid quill mites parasitizing birds. Using host body mass and parasite body length as size indices, this pattern was absent in the Syringophilidae family and the Syringophilinae subfamily as a whole. However, when considering the parasite genera as units of study, as proposed originally by Harrison, we found that host body mass positively correlates with both male and female parasite body length in seven genera (Aulobia, Aulonastus, Neoaulonastus, Picobia, Neopicobia, Syringophilopsis, and Torotrogla). Most of these relationships were non-significant. On the contrary, male and female Syringophiloidus mites exhibited negative relationships with host mass (both non-significant). This apparent contradiction disappeared when we applied wing length as an index of host body size. Since species of this genus are specific to the host flight feathers (secondaries and also primaries), wing length is a more meaningful index of host body size than body mass. Overall, most cases corresponded to the positive direction predicted by Harrison when examined on the genus level. This finding also implies a surprising reliability of the genus concept, at least in this group of ectoparasites.
The Role of Alternative Crop Cultivation in Promoting Human-Elephant Coexistence: A Multidisciplinary Investigation in Thailand
Authors: Owen Ave , van de Water Antoinette , Sutthiboriban Natsuda , Tantipisanuh Naruemon , Sangthong Samorn , Rajbhandari Alisha , Matteson Kevin
Published: August 2024

In areas of high human-elephant conflict, cultivating crops that are less attractive to elephants can be a viable strategy for coexistence. Farmers in these regions often grow crops like pineapple, which are palatable to elephants and attract them into human-dominated landscapes. This study, conducted in Ruam Thai Village, adjacent to Kuiburi National Park in Thailand, evaluated the socio-economic factors affecting farmers’ interest in alternative crop cultivation and assessed the impact of elephants and environmental threats on plots containing pineapple and alternative crops. Our findings revealed that 70% of households (N = 239) rely on pineapple cultivation as their primary source of income. However, 49% of interviewed pineapple farmers reported that their cultivation was not profitable, largely owing to the high costs of agro-chemical inputs. The majority (91%) of farmers experienced negative consequences from living near wild elephants, and 50% expressed interest in cultivating alternative crops. Farmers who frequently experienced elephant visits, felt they could coexist with elephants, and perceived both positive and negative consequences from them were more likely to be interested in alternative crop cultivation. Elephants eliminated over 80% of the pineapple but less than 6% of any alternative crop species across all test plots. Using a crop scoring system based on ecological, economic, and social factors, we identified lemongrass and citronella as the most suitable alternative crop species for the study site. This multidisciplinary study highlights interventions needed to reduce barriers and increase motivators for local farmers to adopt elephant-friendly agriculture as a sustainable human–elephant coexistence strategy.
EpidermaQuant: Unsupervised Detection and Quantification of Epidermal Differentiation Markers on H-DAB-Stained Images of Reconstructed Human Epidermis
Authors: Zamojski Dawid , Gogler Agnieszka , Scieglinska Dorota , Marczyk Michal
Published: August 2024

The integrity of the reconstructed human epidermis generated in vitro can be assessed using histological analyses combined with immunohistochemical staining of keratinocyte differentiation markers. Technical differences during the preparation and capture of stained images may influence the outcome of computational methods. Due to the specific nature of the analyzed material, no annotated datasets or dedicated methods are publicly available. Using a dataset with 598 unannotated images showing cross-sections of in vitro reconstructed human epidermis stained with DAB-based immunohistochemistry reaction to visualize four different keratinocyte differentiation marker proteins (filaggrin, keratin 10, Ki67, HSPA2) and counterstained with hematoxylin, we developed an unsupervised method for the detection and quantification of immunohistochemical staining. The pipeline consists of the following steps: (i) color normalization; (ii) color deconvolution; (iii) morphological operations; (iv) automatic image rotation; and (v) clustering. The most effective combination of methods includes (i) Reinhard’s normalization; (ii) Ruifrok and Johnston color-deconvolution method; (iii) proposed image-rotation method based on boundary distribution of image intensity; and (iv) k-means clustering. The results of the work should enhance the performance of quantitative analyses of protein markers in reconstructed human epidermis samples and enable the comparison of their spatial distribution between different experimental conditions.
Total Cholesterol Determination Accuracy in Dried Blood Spots
Authors: Bonet Estruch Elena , López-Lara María J. , Gutiérrez-Cortizo Eva N. , Castaño López Miguel A. , Mata Pedro , Romero-Jiménez Manuel J.
Published: August 2024

Background Detecting total cholesterol in dried blood spots could aid in identifying individuals with a high likelihood of familial hypercholesterolemia and could be used as a screening measure. This study aims to assess the diagnostic accuracy of dried blood spots on Whatman 903 paper cards using a manual enzymatic technique. Methods: A total of 394 samples were collected as serum and dried blood spots were compared. Cholesterol was determined in serum using the automated reference method, while cholesterol on paper was measured using a manual enzymatic method. Within- and between-day diagnostic variability were analyzed. The correlation between both methods was assessed using Passing–Bablok regression and Bland–Altman plot. Internal validation of our correlation formula was performed on 149 samples, along with external validation of the formula proposed by Corso et al. Results: The within- and between-day coefficient of variation was found to be lower than 10.14% and 14.09%, respectively. Passing–Bablok regression indicated a precision of 0.803 and an accuracy of 0.96. Internal validation precision was measured at 0.716. The resulting positive and negative predicted values were 0.77 and 0.92, respectively, vs. 0.46 and 0.96 from the external formula. Conclusions: Total cholesterol analysis in dried blood spots demonstrates high precision and reproducibility. This method reliably enables the incorporation of this biological marker into neonatal screening for familial hypercholesterolemia detection.
The Dresden Model of Adaptability: A Holistic Approach to Human-Centeredness, Resilience, Sustainability, and the Impact on the Sustainable Development Goals in the Era of Industry 5.0
Authors: Jäpel Nicole , Bielitz Pia , Reichelt Dirk
Published: August 2024

Pursuing human-centered, sustainable, and resilient production is shaping a future-oriented approach to manufacturing processes in the context of Industry 5.0. How can such production be implemented? For this purpose, this article analyses the effects of the developed Dresden Model of Adaptability (acronym: DreMoWabe) on the integration of holistic sustainability. The focus is on investigating the promotion of economic, environmental, and social sustainability goals in terms of the 17 Sustainable Development Goals and analyzing strategies to increase resilience to changing environmental conditions. A human-centered perspective is considered. The model proves to be a holistic approach that drives sustainable development of the production system through the comprehensive integration of human, technology, and organizational structures.
Research Progress on Power Visual Detection of Overhead Line Bolt Defects Based on UAV Images
Authors: Deng Xinlan , He Min , Zheng Jingwen , Qin Liang , Liu Kaipei
Published: August 2024

In natural environments, the connecting bolts of overhead lines and power towers are prone to loosening and missing, posing potential risks to the safe and stable operation of the power system. This paper reviews the challenges in bolt defect detection using power vision technology, with a particular focus on unmanned aerial vehicle (UAV) images. These UAV images offer a cost-effective and flexible solution for detecting bolt defects. However, challenges remain, including missed detection due to the small size of bolts, false detection caused by dense and occluded bolts, and underfitting resulting from imbalanced bolt defect datasets. To address these issues, this paper summarizes solutions that leverage deep learning algorithms. An experimental analysis is conducted on a dataset derived from UAV inspections, comparing the detection characteristics and visualizing the results of various algorithms. The paper also discusses future trends in the application of UAV-based power vision technology for bolt defect detection, providing insights for the advancement of intelligent power inspection.
Exploring Work–Life Balance among Female Staff Members (Teaching and Non-Teaching) in Higher Educational Institutions of Oman: A Study
Authors: Rajagopal Navaneetha Krishnan , Ba Zanbour Maryam Khalid Ahmed , Al Kaaf Noor Mohammed Alawi
Published: August 2024

This research investigates the intricacies of work–life balance among female staff members (including teaching and non-teaching) in higher educational institutions within the Sultanate of Oman. Despite the increasing participation of women in the workforce, achieving a satisfactory work–life balance remains a challenge. This study delves into the factors influencing work–life balance perceptions, considering individual, organizational, and cultural dynamics within the Omani context. Drawing on a quantitative approach, data were collected through structured questionnaires from 268 female respondents. The study explores the impact of factors such as organizational support, workload, family responsibilities, cultural norms, and career development opportunities on work–life balance. The findings reveal both strengths and areas for improvement within organizational support systems, workload management practices, and family-friendly policies. Additionally, cultural factors significantly influence work–life dynamics, emphasizing the need for culturally sensitive interventions. Career development opportunities also play a crucial role in shaping work–life balance perceptions. Statistical analysis, including mean scores, provides insights into the areas of strength and concern, guiding recommendations for policy and practice improvements tailored to the educational sector in Oman. Overall, this study contributes to a deeper understanding of the work–life balance complexities among female staff members (teaching and non-teaching) and offers insights for enhancing employee well-being and organizational effectiveness in Oman’s higher education institutions.
Coupling and Coordinated Development of Environmental Regulation and the Upgrading of Industrial Structure: Evidence from China’s 10 Major Urban Agglomerations
Authors: Zheng Xiaozhou , Liu Renming , Wang Huiping
Published: August 2024

Exploring the coupling and coordinated development of formal and informal environmental regulation, as well as their impact on the upgrading of the industrial structure of urban agglomerations, represents a new breakthrough. The comprehensive index of formal environmental regulation, informal environmental regulation, and industrial structure upgrading is calculated using the entropy method based on sample data from 127 cities in China’s ten major urban agglomerations between 2003 and 2019. The characteristics of the coupling and coordinated development between formal and informal environmental regulation in these urban agglomerations are examined using a coupling coordination degree model. Furthermore, the effects of the coupling and coordinated development of formal and informal environmental regulation on the industrial structure upgrading in urban agglomerations are analyzed through fixed-effect and threshold regression models. The findings demonstrate that although the development of urban agglomerations remains unbalanced, the overall coupling coordination degree between formal and informal environmental regulation is increasing. Generally, the ten major urban agglomerations have transitioned from a state of reluctance coordination to primary coordination. The Pearl River Delta urban agglomerations have progressed from reluctance coordination to middle coordination, while the Yangtze River Delta, Shandong Peninsula, Central Plains, and Beijing–Tianjin–Hebei urban agglomerations have advanced from reluctance coordination to primary coordination. The remaining five urban agglomerations have shifted from near disorder to reluctance coordination. The coupling and coordinated development of formal and informal environmental regulation significantly promote the upgrading of the industrial structure in both overall and grouped samples of urban agglomerations, and the higher the degree of coupling coordination, the greater the promoting effect. Moreover, when informal environmental regulation is considered as a threshold variable, the coupling coordination degree exhibits a broken-line relationship with the industrial structure upgrading in urban agglomerations. Currently, the intensity of informal environmental regulations is relatively reasonable in China’s ten major urban agglomerations, and the coordinated development of formal and informal environmental regulations has an impact on the industrial structure of urban agglomerations. Finally, this paper proposes corresponding suggestions encompassing the construction of an environmental regulation policy system, differentiated industrial policy, and the coordinated promotion of various policies.
Exploring How Culture Matters in Building Responsive and Humanizing Contexts for Community College Students Pursuing STEM
Authors: Anderson Brenda Lee , Deil-Amen Regina
Published: August 2024

While the vertical transfer process and culturally responsive approaches to education have been studied extensively, few scholars have addressed these two areas of concern simultaneously, particularly within higher education contexts. This study explores what cultural responsiveness means and how it matters for low-income community college (CC) students aspiring toward STEM careers and transferring to STEM majors at a local university. As part of a bridge program, students received two STEM faculty mentors, one faculty mentor from the community college and the other from the local university, beginning in their last year of enrollment at the community college. Each STEM mentor was trained in culturally responsive mentoring, and their mentorship extended post-transfer. Students participated in focus groups to share their experiences. The findings reveal that specific aspects of the community college students’ identities, primarily their race and language, were relevant as aspects of culture that mattered for their STEM aspirations. The findings also show that cultural responsiveness in mentoring and support outside the classroom are important steps toward humanizing STEM spaces, but they are wholly insufficient when not paired with extensive culturally responsive efforts in STEM teaching and within the curriculum to improve the internal classroom climate for those with racialized identities.
Exploring the Components of Multicultural Competence among Pre-Service Teacher Students in Thailand: An Approach Utilizing Confirmatory Factor Analysis
Authors: Choompunuch Bovornpot , Kamdee Khanika , Taksino Prakittiya
Published: August 2024

The aim of this study is to examine the components of multicultural competence among pre-service teacher students in Thailand and to develop and assess the reliability of a model of multicultural competence for pre-service teacher students in Thailand. Multistage stratified random sampling was utilized to recruit 600 pre-service teacher students from undergraduate education programs at the Faculty of Education in Thailand. Data were collected through self-report questionnaires. The data analysis employed descriptive statistics and second-order confirmatory factor analysis (CFA). The findings indicate that multicultural competence among pre-service teacher students comprises three components: cultural awareness, cultural knowledge, and personal skills. Furthermore, this study identified that the model of multicultural competence among pre-service teacher students demonstrated good fit indices for the modified model (χ2 = 30.902, df = 21, p-value = 0.0753, χ2/df = 1.472; root mean square error of approximation (RMSEA) = 0.028; standardized root means square residual (SRMR) = 0.013; Tucker–Lewis index (TLI) = 0.996; comparative fit index (CFI) = 0.999). Based on these findings, effective teaching in diverse environments necessitates a thorough understanding of multicultural competence.
Flipped Learning and Artificial Intelligence
Authors: López-Villanueva David , Santiago Raúl , Palau Ramon
Published: August 2024

The recent emergence of Artificial Intelligence (AI) has the potential to influence the teaching-learning process. Some of the most used pedagogical approaches of the last decade have been Flipped Classroom and Flipped Learning. This article explores the intersection between Flipped Learning and AI through qualitative research based on interviews with international experts in the field. The results reveal the significant impact of AI on education, highlighting how AI tools are transforming teaching and learning methodologies. Additionally, the evolution of Flipped Learning with the integration of AI is analyzed, showing how this combination enhances personalized learning and improves student engagement. Finally, the role of the teacher in this new educational paradigm is discussed, emphasizing the need for continuous adaptation and the development of new competencies to fully leverage emerging technologies. With this study, we aim to provide an overview of the opportunities and challenges that AI presents in the context of Flipped Learning.
Bias and Cyberbullying Detection and Data Generation Using Transformer Artificial Intelligence Models and Top Large Language Models
Authors: Kumar Yulia , Huang Kuan , Perez Angelo , Yang Guohao , Li J. Jenny , Morreale Patricia , Kruger Dov , Jiang Raymond
Published: August 2024

Despite significant advancements in Artificial Intelligence (AI) and Large Language Models (LLMs), detecting and mitigating bias remains a critical challenge, particularly on social media platforms like X (formerly Twitter), to address the prevalent cyberbullying on these platforms. This research investigates the effectiveness of leading LLMs in generating synthetic biased and cyberbullying data and evaluates the proficiency of transformer AI models in detecting bias and cyberbullying within both authentic and synthetic contexts. The study involves semantic analysis and feature engineering on a dataset of over 48,000 sentences related to cyberbullying collected from Twitter (before it became X). Utilizing state-of-the-art LLMs and AI tools such as ChatGPT-4, Pi AI, Claude 3 Opus, and Gemini-1.5, synthetic biased, cyberbullying, and neutral data were generated to deepen the understanding of bias in human-generated data. AI models including DeBERTa, Longformer, BigBird, HateBERT, MobileBERT, DistilBERT, BERT, RoBERTa, ELECTRA, and XLNet were initially trained to classify Twitter cyberbullying data and subsequently fine-tuned, optimized, and experimentally quantized. This study focuses on intersectional cyberbullying and multilabel classification to detect both bias and cyberbullying. Additionally, it proposes two prototype applications: one that detects cyberbullying using an intersectional approach and the innovative CyberBulliedBiasedBot that combines the generation and detection of biased and cyberbullying content.
Economic Analysis and Design of Sustainable Solar Electric Vehicle Carport at Applied Science Private University in Jordan
Authors: Awada Emad , Radwan Eyad , Abed Suzan , Al-Mahrouk Akram
Published: August 2024

Electrical vehicles are finding wide acceptance in the Jordanian transportation market; this has caused an accelerating shift in the emissions of greenhouse gases from the direct burning of fossil fuels consumed by the transportation sector towards the power generation sector. On the other hand, as electric vehicles gain more popularity, an extra load is added to the electrical power generation systems, raising essential concerns such as the capability of the power network to support this massive extra load and the increased emission of greenhouse gases caused by power plants. Studies show that Jordan’s weather is known for being bright, sunny, and very suitable for the generation of electric power from solar energy sources. Therefore, with an infrastructure that can support convenient off-grid charging, a huge burden will be taken off the national grid and the environment. Therefore, this work proposes a basic design for an off-grid PV-covered carport and presents a study of the economics and effectiveness of using such a system to charge electric vehicles owned by the students and employees of the Applied Science Private University. The study is based on actual solar irradiance data collected on-site during university working hours (8 a.m.–5 p.m.) to allow students and employees to charge their electric vehicles from an off-grid carport system while on campus. Space limitations for carport design, initial design cost, return on investment, and annual electricity consumption are discussed to demonstrate the benefits of such a system for both the consumer (convenience and low charging cost) and the power company provider (less load to maintain).