bluuebunny/crossref_metadata_2025 huggingface dataset:
Optical Wireless Communication with Intelligent Reflecting Surfaces
Authors: Fang Chengwei , Li Shuo , Wang Yinong , Wang Ke
Published: August 2024

Optical Wireless Communication (OWC) technology has gained significant attention in recent years due to its potential to provide high data rate wireless connections through the large license-free bandwidth available. A key challenge in OWC systems, similar to high-frequency Radio Frequency (RF) systems, is the presence of dead zones caused by obstacles like buildings, trees, and moving individuals, which can degrade signal quality or disrupt data transmission. Traditionally, relays have been used to mitigate these issues. Intelligent Reflecting Surfaces (IRS) have recently emerged as a promising solution, enhancing system performance and flexibility by providing reconfigurable communication channels. This paper presents an overview of the application of IRS in OWC systems. Specifically, we categorize IRS into two main types: mirror array-based IRS and metasurfaces-based IRS. Furthermore, we delve into modeling approaches of mirror array-based IRS in OWC and analyze recent advances in IRS control, which are classified into system power or gain optimization oriented, system link reliability optimization oriented, system data rate optimization oriented, and system security optimization oriented approaches. Finally, we discuss the key challenges and potential future directions for integrating IRS with OWC systems, providing insights for further research in this promising field.
RBD specific B-cell Memory Responses among Vaccinated Individuals against SARS-CoV-2
Authors: Athavale Atharv , Gaur Anmol , Ahmed Nafees , Subramaniam Adarsh , Dandotiya Jyotsna , Raj Sneha , Upadhyay Santosh Kumar , Samal Sweety , Pandey Anil Kumar , Rai Ramesh Chandra , Awasthi Amit
Published: August 2024

During the last few years, the world witnessed one of the worst calamities to humankind- the COVID-19 pandemic. We also witnessed the development of vaccines at an unprecedented pace against the SARS-CoV-2- the causative agent. India was among the hard-hit countries by COVID-19, developed its indigenous vaccine and implemented vaccines developed in other countries as well. Initially, the antibody level and the neutralizing antibody titer against the pathogen were considered as the correlates of immune protection from the disease. However, the long-term protection from the pathogen was provided by the immune memory cells viz. T and B memory cells and their ability to efficiently make recall responses. In this regard, globally the research studies focused mainly on the mRNA-based vaccines. The studies on immune memory response, particularly- the B cell memory response bestowed by the vaccines given to Indians is relatively obscure. We studied the level of RBD specific memory B cells in the peripheral circulation of the study participants and the ability of B cells to secrete antigen-specific antibodies among Indians vaccinated with Covaxin (BBV152), Covishield (AZD1222), Corbevax (BECOV2D) and Sputnik Light (Gam-COVID-Vac) as well as unvaccinated individuals. Our study revealed that Corbevax and Sputnik Light conferred better antibody-secreting cell (ASC) responses.
Assessment of the Drought Regime in SA, Based on Drought and Vegetation Indices
Authors: Chivangulula Fernando Maliti , Amraoui Malik , Pereira Mário Gonzalez
Published: August 2024

Drought affects human and natural systems, human and animal life and health, and socioeconomic activities. Drought consequences depend on its type and class, but also on the preparedness and resistance of communities to this climate disturbance. In the last decades, droughts accounted for about 16% of the total number of disasters but were responsible for 95% of the number of deaths and 26% of economic losses in Africa. This study aims to assess the drought regime in Southern Africa based on drought and vegetation indices. The SPI and SPEI were calculated at different timescales, using ERA5 data for the 1971 – 2020 period. The spatiotemporal distribution of drought descriptors was analyzed and compared with the patterns of the NDVI, EVI and VCI vegetation indices. The results reveal (i) the occurrence of droughts of various classes and at different timescales throughout the study period and region, (ii) high spatial variability in the number, duration, severity and intensity of drought, which tends to decrease with increasing timescale, (iii) high spatial-temporal agreement between drought and vegetation indices that confirm the dryness of vegetation during drought. These results aim to support policymakers in defining legislation to manage drought and water resources.
Perioperative and Long Term Outcomes of Acute Stanford Type A Aortic Dissection Repair in Octogenarians
Authors: Masraf Hannah , Navaratnarajah Manoraj , Viola Laura , Sef Davorin , Malvindi Pietro G. , Miskolczi Szabolcs , Velisaaris Theodore , Luthra Suvitesh
Published: August 2024

Background
The aims of this study were to assess the peri-operative morbidity, mortality and long-term survival of octogenarians undergoing ATAAD repair, and to compare open and closed distal anastomosis techniques.
Methods
This was a single-centre retrospective study (2007-2021). Open versus closed distal anastomosis were compared. Uni and multi-variable logistic regression analyses were performed to identify independent predictors of in-hospital mortality. Kaplan-Meier and Cox proportional hazards methods were used to compare long-term survival.
Results
Fifty octogenarians patients were included (median age - 82 years, closed distal – 22, open distal - 28). Median CPB time was 187 minutes (open distal vs closed distal group; 219 minutes vs 115.5 minutes, p30 days or return to theatre; HR; 4.1, p=0.02) predicted adverse survival. Open distal anastomosis did no impact survival.
Conclusions –
ATAAD repair in selected octogenarians has favourable short and long-term survival. There is no significant difference between open versus closed distal anastomosis strategies.
A Comprehensive Review of Functional Gel Polymer Electrolytes and Applications in Lithium-Ion Battery
Authors: Ahmed Md. Shahriar , Islam Mobinul , Raut Bikash , Yun Sua , Kim Hae Yong , Nam Kyung-Wan
Published: August 2024

The rapid expansion of flexible and wearable electronics has necessitated a focus on ensuring their safety and operational reliability. Gel Polymer Electrolytes (GPEs) have become preferred alternatives to traditional liquid electrolytes, offering enhanced safety features and adaptability to the design requirements of flexible lithium-ion batteries. This review provides a comprehensive and critical overview of recent advancements in GPEs technology, highlighting significant improvements in their physicochemical properties, which contribute to superior long-term cycling stability and high-rate capacity compared to traditional organic liquid electrolytes. Special attention is given to the development of smart GPEs endowed with advanced functionalities such as self-protection, thermotolerance, and self-healing properties, which further enhance battery safety and reliability. The review also critically examines the application of GPEs in high-energy cathode materials, including Lithium Nickel Cobalt Manganese (NCM), Lithium Nickel Cobalt Aluminum (NCA), and thermally stable Lithium Iron Phosphate (LiFePO4). Despite the advancements, several challenges in GPE development remain unresolved, such as improving ionic conductivity at low temperatures and ensuring mechanical integrity and interfacial compatibility. The review concludes by outlining future research directions and the remaining technical hurdles, providing valuable insights to guide ongoing and future efforts in the field of GPEs for lithium-ion batteries, with a particular emphasis on applications in high-energy and thermally stable cathodes.
Addressing Waste Management Challenges in Costa Rica: An Analysis of Current Practices, Government Initiatives, and Future Projections
Authors: NAVARRO JIMÉNEZ ANDREA
Published: August 2024

Costa Rica, renowned for its environmental sustainability, faces a significant waste management crisis. Despite its commitment to renewable energy and biodiversity conservation, waste management inefficiencies, particularly in urban areas such as San José, pose severe environmental and public health risks. This study investigated the current state of waste management in Costa Rica, highlighting critical issues of landfill capacity, regional practices, and public participation in recycling. Using data from 2015 to 2023, linear regression models predict trends in waste minimization practices, providing insights into the potential impacts of ongoing government initiatives. The key findings indicate that Costa Rica's recycling rate is approximately 9%, which is significantly lower than the global average of 32% and is well below that of the EU at 47% and that of Germany at 67%. This underscores the need for improved infrastructure and public education. The Environmental Health Route policy aims to increase the recycling rate to 25% by 2033, while the National Circular Economy Strategy targets comprehensive waste management improvements.Effective implementation, increased funding, and enhanced enforcement are essential, particularly in rural areas where recycling participation is less than 10%. This research offers a comprehensive analysis of Costa Rica's waste management challenges and proposes actionable recommendations to improve practices and increase recycling rates.
New Clavelina (Ascidiacea) Species from the Bahamas
Authors: Turon Xavier , Lopez-Legentil Susanna
Published: August 2024

The ascidian fauna of the Bahamas remains grossly understudied. Here, we examined specimens of the genus Clavelina collected from four Bahamian islands using morphological observations and genetic barcoding. Only 3 species of Clavelina have been previously reported in the Caribbean: C. picta, C. oblonga, and C. puertosecensis. Here, we report C. picta (Verrill, 1900) and three new species in the Bahamas: C. rochae; C. pawliki; and C. erwinorum. C. picta and C. pawliki were found in the northernmost island surveyed, while C. rochae and C. erwinorum were particularly prevalent on the southeastern Bahamian islands. A complete review of genetic barcoding data and morphological characters of accepted Clavelina species was performed. The unique combination of in vivo coloration, morphological characteristics, haplotypes, and species distribution all supported the establishment of three new species, significantly adding to the diversity of the genus Clavelina in the Caribbean.
Choline and Essential Fatty Acids Inadequate Intake in Latin American Childbearing Age Women as a Regional Pre‐Conceptional Disadvantage. ELANS Results
Authors: Herrera-Cuenca Marianella , Yépez García Martha Cecilia , Cortés Sanabria Lilia Yadira , Hernandez Pablo , Ramírez Guillermo , Vásquez Maura , Sifontes Yaritza , Gómez Georgina , Liria-Domínguez María Reyna , Rigotti Attilio , Fisberg Mauro , Kovalskys Irina , Landaeta-Jimenez Maritza
Published: August 2024

Choline and essential fatty acids (EFA) are vital for fetal brain development, supporting pregnancy, and maintaining hormonal balance. They also promote overall health. The childbearing years present a window of opportunity to increase the intake of these key nutrients and develop healthy dietary habits. Survey data were collected for the Estudio Latinoamericano de Nutrición y Salud (ELANS), including participants from Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Peru, and Venezuela (n=9,218; 15-65 years old). Women of childbearing age were extracted from the largest database (n=3,704). The aims of this study were to evaluate the intake of choline and essential fatty acids in women of childbearing age, identify their food sources, and determine if supplements containing choline and EFA were available across the ELANS countries. In general, choline intake was inadequate in all countries, while essential fatty acids intake was normal or above requirements. Chile had the lowest intake of choline and Colombia the highest. The results showed that some countries had more inadequate choline intake than others. Consuming a larger quantity of eggs helped reduce choline inadequacy, as did including eggs and fish in the diet. The intake of essential fatty acids, including ALA, EPA, and DHA, showed variability. The contributions of EPA and DHA were lower than that of ALA, and the results differed by age group. In conclusion, choline intake is inadequate and EFA intake is variable among women of childbearing age in the ELANS study. More awareness and education are needed to achieve better intake of these nutrients.
Unlocking the Puzzle: Investigating the Role of Interleukin 17 Genetic Polymorphisms, Circulating Lymphocytes, and Serum Levels in Venezuelan Women with Recurrent Pregnancy Loss
Authors: Garmendia Jenny Valentina , Blanca Isaac , Peña María Johanna , De Sanctis Claudia Valentina , De Sanctis Juan Bautista
Published: August 2024

The immune response is crucial in Pregnancy Loss (RPL), which affects 1-2% of women. In RPL, peripheral blood lymphocytes and local immune cells are activated with a concomitant decrease in the leukocyte tolerogenic response in the uterus and decidua. IL-17 plays an essential role in T cell activation, weakening tolerogenic responses of the T cells. The report aims to analyze the IL-17 genetic polymorphism, circulating IL-17 lymphocyte populations, the reaction upon lymphocyte priming, the amount of cytokine in serum, and the number of T-reg cells in a group of 50 RPL and 50 normal women from the admixed Venezuelan population. No differences were observed in the genetic polymorphisms rs2275913 and rs763780. A significant decrease (P<0.001) was observed in RPL patients compared to controls in the IL-17+ cell populations CD3+, CD8+, CD56+, and CD4CD25 FoxP3, but not in the CD4IL17+ cells. The response upon cell priming was significantly decreased (P<0.001) in all subpopulations of RPL as compared to controls. It is concluded that despite the increase in IL-17A in the serum of patients, the number of circulating IL-17 cells and the lymphocyte response to stimulation was significantly decreased (p<0.001). No differences in the genetic polymorphism compared to controls suggest that biological factors influence IL-17 levels in RPL patients, which must be carefully studied.
2-(2,6-Diisopropylphenyl)-1-methylimidazo[1,5-a]quinolin-2-ium tetrafluoroborate
Authors: Borislavov Lyuben , Koleva Iskra Z. , Lozanova Vesela , Ivanova Maria , Lyapchev Rumen
Published: August 2024

A new heterocyclic compound, 2-(2,6-diisopropylphenyl)-1-methylimidazo[1,5-a]quinolin-2-ium tetrafluoroborate 1 was obtained from its precursor, N-(2,6-diisopropylphenyl)-N-(quinolin-2-ylmethyl)acetamide 2, by POCl3-mediated cyclization. For the first time – the tertiary acetamide 2, precursor of 1, was synthesized by using commercially available starting materials. The structure of 1 was unquestionably confirmed by 1H-, 13C-, 2D-NMR-, IR- spectroscopy and mass-spectrometry. Its optical properties were also studied.
Screening and Network Pharmacological Analysis of Korean National Insurance‐Covered Herbal Prescriptions with Therapeutic Potential for Mitigating Inflammation in Respiratory Tracts
Authors: Yu Ga-Ram , Lim Dong-Woo , Park Won-Hwan
Published: August 2024

Long COVID is a persistent symptom that appears in many COVID-19 patients, regardless of whether they are asymptomatic, mild, or severe. At least 10% worldwide are suffering from long COVID. The anti-inflammatory effect was evaluated in LPS-treated RAW264.7 cells using six Korean national insurance-covered herbal prescriptions with therapeutic potential for mitigating inflammation in the respiratory tract, and additional network pharmacology analysis was performed. Soshihotang (SST) significantly downregulated iNOS and COX2 expression, reduced the production of NO (nitric oxide) and inflammatory cytokines, such as TNFα, IL-1β, and IL-6, and inhibited IκBα phosphorylation and reduced the nuclear translocation of NF-κB in LPS-treated RAW264.7 cells. Network pharmacological analysis showed that SST was closely related to the NF-κB signaling pathway. Further study on the potential of herbal prescriptions will be needed before they can be used clinically by long COVID patients.
Mesofractal Modeling of Biosystems & Organic Spintronics
Authors: Maksoed Widastra Hidajatullah
Published: August 2024

Mesoscopic modeling of complex system involve thermodynamic nonequilibrium of discrete scaling. Furthers from quantum correlation on a chip retrieved quantum nonlinear optics with single photons enabled by strongly interacting atoms. Accompanied by mesofractals as development of meso & micro size fractal structures is required to mimic various biological systems for various functions. Showed through fluorapatite in gelatin-based nanocomposite, fractal in DNA knots driven by balance of fission & fusion in mtDNA/mitochondrial DNA mechanism, for optical engines for light energy detection described the proportional integral derivative [PI(D)]-controller set in microbial cells to HCCI/Homogeneous Charge Compression Ignition.
Advanced Micro/Nanocapsules for Self-Healing Coatings
Authors: Kartsonakis Ioannis A. , Kontiza Artemis , Kanellopoulou Irene A.
Published: August 2024

The concept of intelligence has many applications, such as coatings and cyber security. Smart coatings have the ability to sense and/or response to external stimuli and generally interact with their environment. Self-healing coatings represent a significant advance in improving material durability and performance using microcapsules and nanocontainers loaded with self-healing agents, catalysts, corrosion inhibitors, and water-repellents. These smart coatings can repair damage on their own and restore mechanical properties without external intervention and are inspired by biological systems. Properties that are affected by either momentary or continuous external stimuli in smart coatings can be related to corrosion, fouling, fungal, self-healing, pie-zoelectric, microbiological, etc. These coating properties can be obtained via combinations of either organic or inorganic polymer phases, additives and pigments. In this article, a review on the advancements of micro/nanocapsules for self-healing coatings is reported from the aspect of ex-trinsic self-healing ability. The concept of extrinsic self-healing coatings is based on the use of capsules or multichannel vascular systems loaded with healing agents/inhibitors. The outcome is that self-healing coatings exhibit improved properties compared to traditional coatings. It is mentioned that self-healing anticorrosive coating not only has enhanced passive barrier function, but also realizes active defense. As a result, there is a significant improvement of the service life and overall performance of the coating. Future research should be devoted to refining self-healing mechanisms and developing cost-effective solutions for a wide range of industrial applications.
Evaluating the Efficacy, Durability, and Clinical Implications of Zirconia vs. Titanium Dental Implants: A Comprehensive Review
Authors: Jaber Mohamed A , Jaber Abdullah M , Elameen Alaa M , Elameen Fatima M
Published: August 2024

Achieving the best aesthetic result is a key objective of implant-prosthetic therapy. To maximize the aesthetic outcome, ensuring that implant-supported restorations are in harmony with the peri-implant soft tissues and bone is essential. A comparative analysis of zirconia and titanium dental implants revealed that both materials offer high success rates; however, they present distinct advantages and limitations in clinical practice. Titanium implants, with surface modifications but without chemical composition changes, boast remarkable long-term survival. In contrast, zirconia implants, while presenting high aesthetic and biocompatibility qualities, have a relatively high incidence of material-specific failure, ranging from 4% to 2% after 5-10 years. While titanium implants generally show superior long-term performance, zirconia implants benefit from ongoing advancements aimed at improving their osseointegration and longevity. This study emphasizes the need for short-term and long-term studies, complemented by randomized controlled trials (RCTs), which are essential for optimizing implant materials and ensuring patient satisfaction. Continued innovation and research are crucial for advancing dental implant technology and enhancing the quality of life for patients requiring dental restorations. Finally, it is important to understand that all materials have both advantages and disadvantages, so the choice of the optimal material should be based on the specific purpose.
Steady-state Fault Propagation Characteristics and Fault Isolation in Cascade Electro-hydraulic Control System
Authors: Zhang Yang , Zhou Rulin , Meng Lingyu , Shi Jian , Ba Kaixian
Published: August 2024

Model-based fault diagnosis serves as a powerful technique for addressing fault detection and isolation issues in control systems. However, diagnosing faults in closed-loop control systems is more challenging due to their inherent robustness. This paper aims to detect and isolate actuator and sensor faults in the cascade electro-hydraulic control system of a turbofan engine. Based on the fault characteristics, we design a robust unknown perturbation decoupling residual generator and an optimal fault observer specifically for the inner and outer control loops to detect potential faults. To locate the faults, we analyze the steady-state propagation laws of actuator and sensor faults within the loops using the final value theorem. Based on this, we establish the minimal-dimensional fault influence distribution matrix specific to the cascade turbofan engine control system. Subsequently, we construct the normalized residual vectors and monitor its vector angles against each row of the fault influence distribution matrix to isolate faults. Experiments conducted on an electro-hydraulic test bench demonstrate that our proposed method can accurately locate four typical faults of actuators and sensors within the cascade electro-hydraulic control system. This study enriches the existing fault isolation methods for complex dynamic systems, and lays the foundation for guiding component repair and maintenance.
Resilient Farm Technologies in Achieving Sustainable Development: Performance and Adoption of Sri under Multiple Constraints in Odisha, India
Authors: Behura Debdutt , Haldar Surajit , Munda Pandaba Charana , Pal Ashutosh
Published: August 2024

Rice yield underperformance coupled with production instability in Odisha state of India is primarily due to low irrigation potential, the spatiotemporal disparity in rainfall pattern and relentless confrontation with biotic and abiotic stresses. System of Rice Intensification (SRI) was introduced in the state with the promises of higher production horizon. However, the present scenario of patchy adoption pattern has necessitated comprehensive study on dynamics and determinants of adoption of SRI. We found that, 57 percent farmers continued SRI, 28 percent discontinued and rest were practicing conventional rice farming. The focused group discussion among the farmers helped us to triangulate the determinants of SRI adoption.The increased SRI area allocation was observed at the expense of reduced number of adopting farmers. Economic scarcity of skilled labour, difficulties in transplantation and mechanical weeding, low irrigation potential and poor on-farm water management were major constraints in SRI practice. Farmers’ compliance in following different resilient SRI components that also varied spatiotemporally has resulted in realized incremental yield. SRI was proved to be resilient to severe drought during 2015-16 and yielded 27 percentage higher than conventional one with considerable decline in hazardous chemicals usage. Farmers’ decision on SRI adoption/discontinuation was analysed using probit regression analysis. The results indicated that, active social involvements of NGOs, on-farm training and demonstrations, and realized incremental rice income influenced SRI adoption. On the other hand, SRI area expansion hindered mainly because of infeasible land topography, area saturation and lack of farmers’ interest. The sustainability index was developed to analyse SRI’s performance to other conventional methods at farm level. Comparatively, SRI adopters benefitted in terms of incremental net return by enhancing ecological balance and sustained productivity of soil, use of eco-friendly and own farm inputs. Nonetheless, higher women labour displacement observed under SRI can be curtailed by providing training to young farm women.
Eco-Physiological and Genetic Basis of Drought Response Index in Rice – Integration Using a Temperate Japonica Mapping Population
Authors: Ramalingam Poornima , Nguyen An Thi Ha , Kamoshita Akihiko
Published: August 2024

The drought response index (DRI) is an indicator of drought tolerance after adjustment for variation in flowering date and potential yield under well-watered conditions. Using a temperate japonica mapping population of 97 recombinant inbred lines from a cross between Otomemochi (OTM) and Yumenohatamochi (YHM), we evaluated DRI during the reproductive stage under very severe drought in one year and under severe drought in the next year. DRI under very severe drought (−6.4 to 15.9) and severe drought (−3.9 to 8.3) positively correlated with grain dry weight under drought. Three QTLs for DRI were identified: RM3703–RM6911–RM6379 and RM6733–RM3850 both on chromosome 2 in both years combined;. and RM8120–RM2615–RM7023 on chromosome 6 in the second year. The latter collocated with putative genes for signaling and defense mechanisms (e.g., PIN1B, BZIP46) revealed by database analysis. Top-DRI lines retained root dry weight and had bigger steles. QTL-by-environment interaction had a greater relative contribution than the main effects of QTLs. Comparison with three previous studies revealed that the QTLs for DRI were unique to each experiment and/or population; most of them closely colocalized with reported drought-yield QTLs.
Characterization of Stone Waste Sludge and Preliminary Investigation on Green Materials Based on Traditional Lime Putty
Authors: Scioti Albina , Bernardo Graziella , Mecca Ippolita , Fatiguso Fabio
Published: August 2024

Traditional lime-based materials have considerable potential for use as components of green materials for plastering and finishing building surfaces in both new construction and historic heritage conservation. The paper presents the preliminary results of a research activity aimed at developing pre-packaged products based on Traditional Lime Putty (TLP) by partially replacing natural aggregates with Stone Waste Sludge (SWS), with a low rate of recovery from Apricena limestone production district in Apulia. The mineralogical and chemical analysis carried out by means XRD (X-Ray Diffraction), TG-DTA (Thermo Gravimetry-Differential Thermal Analysis) and hydrochloric acid attack test showed that the SWS consisted of 98.4 % CaCO3 by mass. The particle sizes measured by laser diffraction technique are below 22.5 μm for the 92% by mass of the sample. The high fineness of the stone waste was confirmed by the Blaine specific surface method equal to 9273.79 cm2/gr. The behavior of three fresh mixtures for prepacked coarse plaster, fine plaster, and finishing plaster with 12.90%, 17.94%, and 18.90 by mass of SWS, respectively, was evaluated by spreading test and applicability tests on a perforated ceramic slab. The finishing plaster has the highest consistency value of 235 mm, while the fine plaster and the coarse plaster have values of 205 mm and 155 mm, respectively. The coarse plaster is suitable for the use as base plaster (arriccio) or second layer rendering (tonachino) up to a thickness of approximately 1 cm. Both the fine plaster and finishing plasters can be used for the surfaces finishing with the application of layers of a few millimeters thick.
Exploring the Diversity and Potential Use of Flower-Derived Lactic Acid Bacteria in Plant-Based Fermentation: Insights into Exo-Cellular Polysaccharide Production
Authors: Khiabani Azadeh , Xiao Hang , Wätjen Anders Peter , Tovar Miguel , Poulsen Vera Kuzina , Hansen Egon Bech , Bang-Berthelsen Claus Heiner
Published: August 2024

Isolation of new plant-derived lactic acid bacteria (LAB) is highly prioritized in developing novel starter cultures for plant-based fermentation. This study explores the diversity of LAB in Danish flowers and their potential use for plant-based food fermentation. 46 flower samples under 34 genera were collected for LAB isolation. By introducing an enrichment step, in total of 61 LAB strains were isolated and identified by using MALDI-TOF and 16S rRNA sequencing. These strains represent 24 species across 9 genera, predominantly Leuconostoc mesenteroides, Fructobacillus fructosus, Apilactobacillus ozensis, and Apilactobacillus kunkeei. Phenotypic screening for exo-cellular polysaccharide production revealed that 40 strains exhibited sliminess or ropiness on sucrose containing agar plate. HPLC analysis confirmed that all isolates produced exo-cellular polysaccharides containing glucose, fructose or galactose as sugar monomer. Therefore, the strains were glucan, fructan and galactan producers. The suitability of these strains for plant-based fermentations was characterized by using almond, oat and soy milk. The results showed successful acidification in all three types of plant-based matrices but only observed texture development in soy by Leuconostoc, Weissella, Lactococcus, Apilactobacillus, and Fructobacillus. The findings highlight the potential of flower-derived LAB strains for texture development in soy-based dairy alternatives.
Comparative Morphology of Skeletal Development in Homo sapiens and Raja asterias: Divergent Stiffening Patterns Due to Different Matrix Calcification Processes
Authors: Pazzaglia Ugo E. , Zecca Piero Antonio , Terova Genciana , Serena Fabrizio , Cecilia Mancusi , Raimondi Giovanni , Zarattini Guido , Raspanti Mario , Reguzzoni Marcella
Published: August 2024

Before calcification begins, the early embryonic and fetal skeletal development of both mammalian Homo sapiens and the chondrichthyan fish Raja asterias consists exclusively of cartilage. This cartilage is formed and shaped through processes involving tissue segmentation and the frequency, distribution, and orientation of chondrocyte mitoses. In the subsequent developmental phase, mineral deposition in the cartilage matrix conditions the development further. The stiffness and structural layout of the mineralized cartilage have a significant impact on the shape of the anlagen (early formative structures of organs or tissues) and the mechanical properties of the skeletal segments. The fundamental difference between the two studied species lies in how calcified cartilage serves as a scaffold for osteoblasts to deposit bone matrix, which is then remodeled. In contrast, chondrichthyans retain the calcified cartilage as the definitive skeletal structure. This study documents the distinct mineral deposition pattern in the cartilage of the chondrichthyan R. asterias, in which calcification progresses with the formation of focal calcification nuclei or “tesserae”. These are arranged on the flat surface of the endo-skeleton (crustal pattern) or aligned in columns (catenated pattern) in the radials of the appendicular skeleton. This anatomical structure is well adapted to meet the mechanical requirements of locomotion in the water column. Conversely, in terrestrial mammals, endochondral ossification (associated with the remodeling of the calcified matrix) provides limb bones with the necessary stiffness to withstand the strong bending and twisting stresses of terrestrial locomotion. In this study, X-rays of marine mammals (reproduced from previously published studies) document how the endochondral ossification in dolphin’s flipper adapts to the mechanical demands of aquatic locomotion. This adaptation includes the reduction in the length of the stylopodium and zeugopodium and an increase in the number of elements in the autopodium’s central rays.
Polyphosphate Kinase from Burkholderia cenocepacia, One Enzyme Catalyzing a Two Step Cascade Reaction to Synthesize ATP from AMP
Authors: Monterrey Dianelis T. , Azcona Leire , Revuelta Julia , Sánchez-Moreno Israél , García-Junceda Eduardo
Published: August 2024

ATP is an essential molecule in many biocatalytic processes. The industrial implementation of these processes is hampered by the fact that they require stoichiometric quantities of this expen-sive co-factor. To avoid this problem, recycling systems are needed. This study characterizes a putative polyphosphate kinase enzyme from Burkholderia cenocepacia that can regenerate ATP from AMP. Sequence analysis shows that BcPPK2-III exhibits the characteristic structural motifs of known PPK2 enzymes, including conserved motifs Walker A and B, and the subclass-specific res-idue E137. Molecular docking simulations showed ADP had the highest binding affinity (-7.340 kcal/mol), followed by AMP (-7.284 kcal/mol), with ATP having the lowest affinity (-6.464 kcal/mol). The enzyme was overexpressed in E. coli. Protein expression and purification were monitored by SDS-PAGE and quantified by densitometric analysis. Enzymatic activity assays re-vealed that BcPPK2-III converts 70% ATP with a TTN of 334,000 after 24 hours and remains sta-ble over a pH range of 6-9 and temperatures up to 70°C. BcPPK2-III shows significant potential for industrial ATP regeneration and offers high conversion rates and stability. The enzyme's high conversion rate and stability make BcPPK2-III a promising candidate for the improvement of bio-catalytic processes that rely on ATP at industrial level.
Real-Time Stride Length Calculation Using Inertial Measurement Unit Embedded In Shoe Sensor System
Authors: Nguyen Nguyen , Choffin Zach , Glass Kayla , Jeong Nathan
Published: August 2024

In the realm of physical activity and sports science, motion tracking emerges as an important tool for specialists aiming to analyze movement data, whether for daily life activities or enhancing athletic performance. This study introduces an innovative approach to motion tracking through the development of a fully embedded smart shoe sensor system, which employs an inertial measurement unit (IMU) affixed to the shoe sole, coupled with six pressure sensors, to provide real-time calculation of individual stride lengths along with other vital movement statistics. Traditional motion tracking methods, which typically rely on various body-attached sensors, often necessitate substantial post-processing, delaying the feedback loop. In contrast, our system is designed to overcome these limitations by offering high-accuracy, real-time feedback with a minimal error rate of 1.88% from our experiments. Such prompt data acquisition facilitates immediate interventions by sports performance coaches or healthcare professionals, significantly contributing to injury prevention and performance enhancement. The experimental outcomes of this study underscore the system’s capability to deliver precise stride length measurements instantaneously, marking a significant advancement in motion tracking technology and its application in sports science and healthcare.
Integration and Optimization of Multisource Electric Vehicles: A Critical Review of Hybrid Energy Systems, Topologies, and Control Algorithms
Authors: Fesakis Nikolaos , Falekas Georgios , Palaiologou Ilias , Lazaridou Georgia Eirini , Karlis Athanasios
Published: August 2024

Electric vehicles (EVs) are pivotal in addressing the escalating environmental crisis. While EV drivetrains excel compared to those of vehicles with internal combustion engines (ICE), their energy storage systems are hampered by limited range, lifespan, and lengthy charging times. Hybrid energy storage systems (HESS) present a viable current solution to these issues. This review thoroughly explores state-of-the-art in the emerging field of multisource EVs that utilize HESS, incorporating any combination of batteries (BTs), supercapacitors (SCs), flywheels (FWs), fuel cells (FCs), and/or transmotors. In addition, the paper systematically categorizes and evaluates different hybrid configurations, detailing potential topologies and their respective advantages and limitations. Moreover, the paper examines diverse control algorithms used to manage these complex systems, focusing on their effectiveness and operational efficiency. By identifying current research gaps and technological challenges, this study aims to delineate future research directions that could enhance the deployment and optimization of multisource EVs, thereby addressing critical challenges such as energy density, system reliability, and cost-effectiveness.
Coastal Sea Ice Concentration Derived from Marine Radar Images: A Case Study from Utqiaġvik, Alaska
Authors: St-Denis Félix , Tremblay Bruno Louis , Mahoney Andrew R. , Takata-Glushkoff Pacifica Askitrea Leona Mai
Published: August 2024

We apply the Canny Edge algorithm to the Utqiaġvik coastal sea ice radar system (CSIRS) to quantify open water and sea ice (landfast or drifting) concentration. The radar-derived sea ice concentration is compared against the 25-km resolution NSIDC Climate Data Record (CDR, one pixel closest to the radar field of view) and the 1-km merged MODIS-AMSR2 sea ice concentrations in the ∼11 km field of view for the year 2022-2023, when improved image contrast was first implemented. The algorithm was first optimized using sea ice concentration from 14 different images and 10 ice analysts (140 analysis in total) covering a wide range of ice condition with landfast ice, drifting ice and open water. The algorithm is also validated quantitatively against high-resolution MODIS-Terra in the visible range. Results show a correlation coefficient and mean bias error between the optimized algorithm, the CDR and MODIS-AMSR2 daily SIC of 0.18 and 0.54, and ∼ -1 and 0.9%, respectively, with an averaged inter-analyst error of ± 3%. In general, the CDR captures the melt period correctly and overestimates the SIC during the winter and freeze-up period, while the merged MODIS-AMSR2 better captures the punctual break-out events in winter including those during the freeze-up events (reduction of in SIC). Remnant issues with the detection algorithm include the false detection of sea ice in the presence, fog or precipitation (up to 20%), quantified from the summer reconstruction with known open water conditions. Coastal marine radars provide prove very useful in bridging the gap between (lower) resolution satellite-derived and in-situ (visual) sea ice conditions, and to quantify land contamination from lower resolution satellite-derived SIC.
Enhancing Miconazole Anticancer Activity through Development of Drug in an Olive Oil-Based Nanoemulsion Formulations: A Promising Strategy Supported by Molecular Docking
Authors: Alamoudi Jawaher Abdullah , Khafagy El-Sayed , Abu Lila Amr Selim , Alqadhi Mustafa A , Alotaibi Hadil Faris
Published: August 2024

We present a novel approach to repurpose the antifungal agent Miconazole as an anticancer therapeutic using olive oil-based nanoemulsion. The nanoemulsion exhibited a mean particle size of 177.76 ± 5.2 nm with a zeta potential of -24 ± 0.94 mV. Remarkably, Miconazole-loaded nanoemulsion displayed an IC50 of 1.4 ± 0.4 µg/ml against MCF-7 cells, while inducing apoptotic cell death by 70.31 ± 2.1%. In HePG2 and HCT 116 cells, IC50 values of 10.7 ± 1.2 and 5.9 ± 0.7 µg/ml were observed, respectively. These results demonstrate the promising anticancer potential of Miconazole-loaded olive oil nanoemulsion, highlighting its potential for repurposing Miconazole agents as effective anticancer therapeutics.
Effectiveness and Tolerability of Anti-Calcitonin Gene-related Peptide Therapy for Migraines and Other Chronic Headaches in Adolescents and Young Adults: A Retrospective Study in the USA
Authors: Bandatmakur Anjaneya Shankar Madhav , Dave Pooja , Kerr Melissa , Brunick Colin , Wen Sijin , Hansen Nicholas
Published: August 2024

This retrospective study assesses the efficacy and tolerability of anti-CGRP therapy in adolescents and young adults (ages 12-21) with migraines and chronic daily headaches unresponsive to standard treatments. Migraines severely affect school performance, self-esteem, psychological well-being, and cognitive health in this demographic, who are also sensitive to the side effects of conventional medications often prescribed off-label and face high insurance denial rates. Medication overuse, including analgesics, triptans, and NSAIDs, is prevalent due to treatment failures. Elevated plasma CGRP levels during migraines suggest that anti-CGRP therapies, which have shown success in adults, might benefit this age group. Over three years, patients at a specialized headache center were evaluated for the impact of anti-CGRP treatments, including monoclonal antibodies (erenumab, fremanezumab, galcanezumab) and small molecule CGRP receptor antagonists (ubrogepant, rimegepant, atogepant), either alone or in combination with OnabotulinumtoxinA. The study found significant improvements in migraine management, especially among older adolescents, with reduced rescue medication use and emergency visits. Longer treatment courses and combination therapy with traditional medications were more effective than monotherapy, reducing migraine intensity and frequency. Adverse effects were minimal, and no significant medication interactions were noted. Anti-CGRP therapy demonstrates substantial potential in improving outcomes for this age group with chronic and episodic migraines.
Basic-Clinical Analysis of Parathyroid Cancer
Authors: Fuenzalida Lucas , Indo Sebastián , Contreras Héctor , Rappoport Daniel , Cabané Patricio
Published: August 2024

Parathyroid cancer (PC) presents clinically as a case of hyperparathyroidism associated with local compression symptoms. The definitive diagnosis of PC is complex as it requires unequivocal criteria of invasion in postoperative biopsy. Given the difficulty in confirming the diagnosis of PC, attempts have been made to address this problem through the search for biomarkers, mainly using immunohistochemistry. Within this theme, the phenomenon of epithelial-mesenchymal transition and cancer stem cells markers have been scarcely studied; and could eventually help discriminate between a diagnosis of parathyroid adenoma or carcinoma. This review presents a clinical approach to the disease; as well as providing a state of the art analysis of basic biomarkers in diagnosis and future projections in this field.
Electromagnetic Fields Calculation and Optimization of Structural Parameters for Axial Helical and Radial Helical Air-Core Inductors
Authors: Wu Jinguo , Zhang Yujie , Yang Bin , Li Sihan , Song Haipeng
Published: August 2024

To improve the current density distribution and electromagnetic performance of air-core inductors, a structural optimization method combining BP neural network and genetic algorithm was proposed for the study of axial and radial spiral multi-winding inductors. The Monte Carlo method was used to extract the structural size samples of the inductors, and the training dataset was obtained through finite element calculation of electromagnetic fields. Based on BP neural networks, nonlinear mapping models between the inductance value, volumetric inductance density, current distribution non-uniformity coefficient, and inductor structural parameters were constructed. The sensitivity analysis of the inductor inductance value affected by structural parameters was conducted through the Sobol index calculation. Using the current distribution non-uniformity coefficient as the fitness function and the volumetric inductance density as the constraint condition, the genetic algorithm was applied to optimize the structural parameters of the inductor globally. The optimization results were verified through finite element comparison. The results show that, under the requirement of satisfying the volumetric inductance density, the current distribution non-uniformity coefficient of AHI type inductor was reduced by 4.57% compared with the best sample in the sampling, while that of RHI type inductor was reduced by 5.33%, demonstrating the practicality of the BP-GA joint algorithm in the structural optimization design of inductors.
A Hybrid Text Summarization Technique of Student Open-Ended Responses to Online Educational Surveys
Authors: Karousos Nikos , Vorvilas George , Pantazi Despoina , Verykios Vassilios S.
Published: August 2024

This study investigates the effectiveness of a text summarization method applied to open-ended student evaluations at the Hellenic Open University, aiming to improve the analysis of qualitative feedback from online educational surveys. To address the challenges of processing large volumes of student feedback, an automated summarization technique utilizing advancements in Natural Language Processing (NLP) and text mining is proposed. Using the TextRank and the Walktrap algorithms, student comments on positive aspects, study challenges, and improvement suggestions were analyzed. The analysis revealed that while some students expressed satisfaction with tutor-student interactions and the organization of educational material, there were also negative comments about outdated content in some modules and scheduling issues. The findings highlight the importance of qualitative feedback for education quality, providing actionable insights for improving curricula and teaching effectiveness. This research responds to the growing need for effective qualitative data analysis in higher education and contributes to ongoing discussions about student satisfaction in distance learning environments. By effectively summarizing open-ended responses, university staff can better understand student experiences and make informed decisions to enhance the educational process.
Comparison of the Performance of Machine Learning Models in Predicting ESI Triage Levels Using Data of Non‐Traumatic Patients from the Triage Point at the Emergency Medicine Department of Lampang Hospital
Authors: Seesuwan Noppadon , Phetkub Napat , Rojanasumapong Auswin , Chuenjai Nipada
Published: August 2024

Emergency departments (EDs) are critical in urgent care, where accurate triage optimizes patient flow and resource allocation. Manual triage faces challenges due to increasing volume and com-plexity. This study compares logistic regression, gradient boosting, neural network, and random forest models in predicting Emergency Severity Index (ESI) triage levels for non-traumatic pa-tients at Lampang Hospital's ED. Using data from January 1, 2023, to April 30, 2024, we ana-lyzed 45,245 complete records. The gradient boosting model achieved the highest accuracy (0.81), significantly outperforming logistic regression (accuracy 0.64). Pain scale, sex, and mean arterial pressure were key predictors. This is the first comparison of these models for ESI triage in a Thai hospital, highlighting their potential to improve triage accuracy and efficiency. Implementing these models could enhance patient outcomes and resource management in ED.