bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Obesity and Lysosomal Dysfunction on Chemoresistance in Ovarian Cancer
Authors: Kim Boyun , Jung Jewon
Published: March 2024

Obesity is recognized as a significant risk factor for ovarian cancer, with accumulating evidence highlighting its impact on disease progression and chemoresistance. This review synthesizes current research elucidating the link between obesity-induced lysosomal dysfunction and ovarian cancer chemoresistance. Epidemiological studies consistently demonstrate a positive correlation between body mass index (BMI) and ovarian cancer risk, attributed in part to the predilection of epithelial ovarian cancer cells for adipose tissue, particularly the omentum. Adipokines released from the omentum contribute to cancer-associated characteristics, including energy supply to cancer cells. Moreover, obesity-induced alterations in lysosomal function have been implicated in systemic inflammation and lipid metabolism dysregulation, further exacerbating cancer progression. Lysosomes play a crucial role in drug resistance, as evidenced by studies demonstrating their involvement in mediating resistance to chemotherapy in ovarian cancer cells. Recent findings suggest that pharmacological inhibition of lysosomal calcium channels sensitizes drug-resistant ovarian cancer cells to cisplatin treatment, highlighting the therapeutic potential of targeting lysosomal dysfunction in obesity-related chemoresistance. This review underscores the importance of understanding the multifaceted roles of lysosomes in obesity-related drug resistance and their implications for the development of targeted therapeutic interventions in ovarian cancer management.
Uremic Toxins and Inflammation: Metabolic Pathways Affected in Non-Dialysis-Dependent Stage 5 Chronic Kidney Disease
Authors: Peris-Fernández María , Roca-Marugán Marta , Amengual Julià L. , Balaguer-Timor Ángel , Viejo-Boyano Iris , Soldevila-Orient Amparo , Devesa-Such Ramon , Sánchez-Pérez Pilar , Hernández-Jaras Julio
Published: March 2024

Chronic kidney disease (CKD) affects approximately 12% of the global population, posing a significant health threat. Inflammation plays a crucial role in the uremic phenotype of non-dialysis-dependent (NDD) stage 5 CKD, contributing to elevated cardiovascular and overall mortality in affected individuals. This study aimed to explore novel metabolic pathways in this population using semi-targeted metabolomics, which allowed us to quantify numerous metabolites with known identities before data acquisition through an in-house polar compound library. In a prospective observational design with 50 patients, blood samples collected before the initial hemodialysis session underwent liquid chromatography and high-resolution mass spectrometer analysis. Univariate (Mann–Whitney test) and multivariate (logistic regression with LASSO regularization) methods identified metabolomic variables associated with inflammation. Notably, adenosine-5′-phosphosulfate (APS), dimethylglycine, pyruvate, lactate, and 2-ketobutyric acid exhibited significant differences in the presence of inflammation. Cholic acid, homogentisic acid, and 2-phenylpropionic acid displayed opposing patterns. Multivariate analysis indicated increased inflammation risk with certain metabolites (N-Butyrylglycine, dimethylglycine, 2-Oxoisopentanoic acid, and pyruvate), while others (homogentisic acid, 2-Phenylpropionic acid, and 2-Methylglutaric acid) suggested decreased probability. These findings unveil potential inflammation-associated biomarkers related to defective mitochondrial fatty acid beta oxidation and branched-chain amino acid breakdown in NDD stage 5 CKD, shedding light on cellular energy production and offering insights for further clinical validation.
In Vivo Osteogenic and Angiogenic Properties of a 3D-Printed Isosorbide-Based Gyroid Scaffold Manufactured via Digital Light Processing
Authors: Verisqa Fiona , Park Jeong-Hui , Mandakhbayar Nandin , Cha Jae-Ryung , Nguyen Linh , Kim Hae-Won , Knowles Jonathan C.
Published: March 2024

Introduction: Osteogenic and angiogenic properties of synthetic bone grafts play a crucial role in the restoration of bone defects. Angiogenesis is recognised for its support in bone regeneration, particularly in larger defects. The objective of this study is to evaluate the new bone formation and neovascularisation of a 3D-printed isosorbide-based novel CSMA-2 polymer in biomimetic gyroid structures. Methods: The gyroid scaffolds were fabricated by 3D printing CSMA-2 polymers with different hydroxyapatite (HA) filler concentrations using the digital light processing (DLP) method. A small animal subcutaneous model and a rat calvaria critical-size defect model were performed to analyse tissue compatibility, angiogenesis, and new bone formation. Results: The in vivo results showed good biocompatibility of the 3D-printed gyroid scaffolds with no visible prolonged inflammatory reaction. Blood vessels were found to infiltrate the pores from day 7 of the implantation. New bone formation was confirmed with positive MT staining and BMP-2 expression, particularly on scaffolds with 10% HA. Bone volume was significantly higher in the CSMA-2 10HA group compared to the sham control group. Discussion and Conclusions: The results of the subcutaneous model demonstrated a favourable tissue response, including angiogenesis and fibrous tissue, indicative of the early wound healing process. The results from the critical-size defect model showcased new bone formation, as confirmed by micro-CT imaging and immunohistochemistry. The combination of CSMA-2 as the 3D printing material and the gyroid as the 3D structure was found to support essential events in bone healing, specifically angiogenesis and osteogenesis.
Acute and Persistent Postoperative Functional Decline in Children with Severe Neurological Impairment: A Qualitative, Exploratory Study
Authors: Holsti Liisa , England Sarah , Gibson Mackenzie , McWilliams Bethany , Hermansen Anne-Mette , Siden Harold
Published: March 2024

Background: Children with severe neurologic impairment (SNI) regularly require major surgery to manage their underlying conditions. Anecdotal evidence suggests that children with SNI experience unexpected and persistent postoperative functional changes long after the postoperative recovery period; however, evidence from the perspective of caregivers is limited. The purpose of the study was to explore the functional postoperative recovery process for children with SNI. Methods: Eligible participants were English-speaking caregivers of children with SNI between 6 months and 17 years who were nonverbal, Gross Motor Function Classification Scale level IV/V, and who had surgery/procedure requiring general anesthetic at a tertiary children’s hospital between 2012 and 2022. Demographic and basic health information were collected via surveys and corroborated by a review of the child’s electronic health record. Semi-structured interviews were conducted and a thematic content analysis was used to formulate results. Results: Data from 12 primary caregiver interviews revealed four main themes: (1) functional changes and complications in the child; (2) feeling unprepared; (3) perioperative support; and (4) changes to caregiver roles. Conclusions: Postoperative functional decline in children with SNI was prevalent in our sample. Providing pre-operative information to families to describe this phenomenon should be a regular part of family-informed care.
The Synthesis and Reactivity of Mesoporous and Surface-Rough Vinyl-Containing ORMOSIL Nanoparticles
Authors: Walton Nathan I. , Brozek Eric M. , Gwinn Courtney C. , Zharov Ilya
Published: March 2024

Silica nanoparticles synthesized solely from organosilanes naturally possess a greater number of organic functionalities than silica nanoparticles surface-modified with organosilanes. We report the synthesis of organically modified silica (ORMOSIL) nanoparticles with a mesoporous and surface-rough morphology and with a high surface area, made solely from vinyltrimethoxy silane. We chemically modified these vinyl silica nanoparticles using bromination and hydroboration, and demonstrated the high accessibility and reactivity of the vinyl groups with an ~85% conversion of the functional groups for the bromination of both particle types, a ~60% conversion of the functional groups for the hydroboration of surface-rough particles and a 90% conversion of the functional groups for the hydroboration of mesoporous particles. We determined that the mesoporous vinyl silica nanoparticles, while having a surface area that lies between the non-porous and surface-rough vinyl silica nanoparticles, provide the greatest accessibility to the vinyl groups for boronation and allow for the incorporating of up to 3.1 × 106 B atoms per particle, making the resulting materials attractive for boron neutron capture therapy.
Taylor Polynomials in a High Arithmetic Precision as Universal Approximators
Authors: Bakas Nikolaos
Published: March 2024

Function approximation is a fundamental process in a variety of problems in computational mechanics, structural engineering, as well as other domains that require the precise approximation of a phenomenon with an analytic function. This work demonstrates a unified approach to these techniques, utilizing partial sums of the Taylor series in a high arithmetic precision. In particular, the proposed approach is capable of interpolation, extrapolation, numerical differentiation, numerical integration, solution of ordinary and partial differential equations, and system identification. The method employs Taylor polynomials and hundreds of digits in the computations to obtain precise results. Interestingly, some well-known problems are found to arise in the calculation accuracy and not methodological inefficiencies, as would be expected. In particular, the approximation errors are precisely predictable, the Runge phenomenon is eliminated, and the extrapolation extent may a priory be anticipated. The attained polynomials offer a precise representation of the unknown system as well as its radius of convergence, which provides a rigorous estimation of the prediction ability. The approximation errors are comprehensively analyzed for a variety of calculation digits and test problems and can be reproduced by the provided computer code.
Two-Year Trajectories of Dental Anxiety in Parents and Their Association with Parents’ and Children’s Oral Healthcare Procedures in FinnBrain Birth Cohort Study
Authors: Lahti Satu , Kataja Eeva-Leena , Suominen Auli , Palo Katri , Ogawa Mika , Kallio Anu , Räikkönen Outi , Pohjola Vesa , Rantavuori Kari , Karlsson Linnea , Karlsson Hasse
Published: March 2024

We aimed to identify parents’ dental anxiety trajectories and the association of the trajectories with the number of parents’ and their children’s oral healthcare procedures in the FinnBrain Birth Cohort Study. Dental anxiety was measured with the Modified Dental Anxiety Scale at gestational weeks (gw) 14 and 34, as well as 3 and 24 months (mo) after childbirth. Oral healthcare procedures from gw14 to 24 mo were obtained from the national patient data register and categorized as preventive and treatment. Trajectories were identified with latent growth mixture modelling for 2068 fathers and 3201 mothers. Associations between trajectories and procedures adjusted for education were analyzed using unordered multinomial logit models. Fathers’ trajectories were stable low (80.1%), stable high (3.4%), stable moderate (11.0%), moderate increasing (3.9%) and high decreasing (1.6%). Mothers’ trajectories were stable low (80.7%), stable high (11.2%), moderate increasing (5.3%) and high decreasing (2.8%). Mothers with decreasing dental anxiety had a higher number of preventive and treatment procedures. Fathers with decreasing dental anxiety had a higher number of preventive and treatment procedures, while fathers with increasing dental anxiety had fewer procedures. Children of mothers with stable low dental anxiety had higher number of preventive procedures. There seems to be a two-way association between dental anxiety trajectories and oral healthcare procedures.
Environment and Digitalization: The New Paradigms in the European Stock Markets
Authors: Di Febo Elisa , Angelini Eliana , Le Tu
Published: March 2024

In a European context in which the objectives of climate neutrality and digitalization appear fundamental, the work analyzes the relationships between the price of the main stock market indices and the most representative variables such as carbon emissions, digitalization, use of renewable energy, research and development expenses, environmental taxes, and all economic and management activities aimed at reducing or eliminating any form of pollution. The analysis was developed through three different regressions involving the long period 1995–2020 and the short period 2017–2020. The results show how increasing carbon emissions and environmental taxes positively impact stock indices. The former is linked to an increase in production and, therefore, economic growth, and the latter encourages sustainability. Taxes on transport and energy in the long term generate higher costs, which damage profitability and negatively impact the performance of stock indices. Finally, in the short term, implementing environmental protection measures or the sustainable management of resources may lead to higher operating costs for the companies involved. These cost increases can negatively impact profit margins and reduce the value of companies. These results, therefore, show us how environmental sustainability has a significant impact on European stock markets; consequently, the relevant regulations and policies should also consider the economic and managerial impacts that companies implement to achieve their objectives of the Green Deal.
Enhancing Communication Security an In-Vehicle Wireless Sensor Network
Authors: Venčkauskas Algimantas , Taparauskas Marius , Grigaliūnas Šarūnas , Brūzgienė Rasa
Published: March 2024

Confronting the challenges of securing communication in-vehicle wireless sensor networks demands innovative solutions, particularly as vehicles become more interconnected. This paper proposes a tailored communication security framework for in-vehicle wireless sensor networks, addressing both scientific and technical challenges through effective encryption methods. It segments the local vehicle network into independent subsystems communicating via encrypted and authenticated tunnels, enhancing automotive system safety and integrity. The authors introduce a process for periodic cryptographic key exchanges, ensuring secure communication and confidentiality in key generation without disclosing parameters. Additionally, an authentication technique utilizing the sender’s message authentication code secures communication tunnels, significantly advancing automotive cybersecurity and interconnectivity protection. Through a series of steps, including key generation, sending, and cryptographic key exchange, energy costs were investigated and compared with DTLS and TLS methods. For cryptographic security, testing against brute-force attacks and analysis of potential vulnerabilities in the AES-CBC 128 encryption algorithm, HMAC authentication, and HKDF key derivation function were carried out. Additionally, an evaluation of the memory resource consumption of the DTLS and TLS protocols was compared with the proposed solution. This work is crucial for mitigating risks associated with in-vehicle communication compromises within smart cities.
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Authors: Badiola-Zabala Goizalde , Lopez-Guede Jose Manuel , Estevez Julian , Graña Manuel
Published: March 2024

Background: The declaration of the COVID-19 pandemic triggered global efforts to control and manage the virus impact. Scientists and researchers have been strongly involved in developing effective strategies that can help policy makers and healthcare systems both to monitor the spread and to mitigate the impact of the COVID-19 pandemic. Machine Learning (ML) and Artificial Intelligence (AI) have been applied in several fronts of the fight. Foremost is diagnostic assistance, encompassing patient triage, prediction of ICU admission and mortality, identification of mortality risk factors, and discovering treatment drugs and vaccines. Objective: This systematic review aims to identify original research studies involving actual patient data to construct ML- and AI-based models for clinical decision support for early response during the pandemic years. Methods: Following the PRISMA methodology, two large academic research publication indexing databases were searched to investigate the use of ML-based technologies and their applications in healthcare to combat the COVID-19 pandemic. Results: The literature search returned more than 1000 papers; 220 were selected according to specific criteria. The selected studies illustrate the usefulness of ML with respect to supporting healthcare professionals for (1) triage of patients depending on disease severity, (2) predicting admission to hospital or Intensive Care Units (ICUs), (3) search for new or repurposed treatments and (4) the identification of mortality risk factors. Conclusion: The ML/AI research community was able to propose and develop a wide variety of solutions for predicting mortality, hospitalizations and treatment recommendations for patients with COVID-19 diagnostic, opening the door for further integration of ML in clinical practices fighting this and forecoming pandemics. However, the translation to the clinical practice is impeded by the heterogeneity of both the datasets and the methodological and computational approaches. The literature lacks robust model validations supporting this desired translation.
Black-Box Boundary Attack Based on Gradient Optimization
Authors: Yang Yuli , Liu Zishuo , Lei Zhen , Wu Shuhong , Chen Yongle
Published: March 2024

Deep neural networks have gained extensive applications in computer vision, demonstrating significant success in fundamental research tasks such as image classification. However, the robustness of these networks faces severe challenges in the presence of adversarial attacks. In real-world scenarios, addressing hard-label attacks often requires the execution of tens of thousands of queries. To combat these challenges, the Black-Box Boundary Attack leveraging Gradient Optimization (GOBA) has been introduced. This method employs a binary search strategy to acquire an initial adversarial example with significant perturbation. The Monte Carlo algorithm is utilized to estimate the gradient of the sample, facilitating iterative movement along the estimated gradient and the direction of the malicious label. Moreover, query vectors positively correlated with the gradient are extracted to construct a sampling space with an optimal scale, thereby enhancing the efficiency of the Monte Carlo algorithm. Experimental evaluations were conducted using the HSJA, QEBA, and NLBA attack methodologies on the ImageNet, CelebA, and MNIST datasets, respectively. The results indicate that, under the constraint of 3 k query times, the GOBA, compared to other methods, can, on average, reduce perturbation (L2 distance) by 55.74% and simultaneously increase the attack success rate by an average of 13.78%.
Design and Implementation of Single-Phase Grid-Connected Low-Voltage Battery Inverter for Residential Applications
Authors: Pannawan Akekachai , Kaewchum Tanakorn , Saeseiw Chayakarn , Pachanapan Piyadanai , Hinkkanen Marko , Somkun Sakda
Published: March 2024

Integrating residential energy storage and solar photovoltaic power generation into low-voltage distribution networks is a pathway to energy self-sufficiency. This paper elaborates on designing and implementing a 3 kW single-phase grid-connected battery inverter to integrate a 51.2-V lithium iron phosphate battery pack with a 220 V 50 Hz grid. The prototyped inverter consists of an LCL-filtered voltage source converter (VSC) and a dual active bridge (DAB) DC-DC converter, both operated at a switching frequency of 20 kHz. The VSC adopted a fast DC bus voltage control strategy with a unified current harmonic mitigation. Meanwhile, the DAB DC-DC converter employed a proportional-integral regulator to control the average battery current with a dynamic DC offset mitigation of the medium-frequency transformer’s currents embedded in the single-phase shift modulation scheme. The control schemes of the two converters were implemented on a 32-bit TMS320F280049C microcontroller in the same interrupt service routine. This work presents a synchronization technique between the switching signal generation of the two converters and the sampling of analog signals for the control system. The prototyped inverter had an efficiency better than 90% and a total harmonic distortion in the grid current smaller than 1.5% at the battery power of ±1.5 kW.
Experimental and Numerical Studies on the Efficacy of Water Mist to Suppress Hydrocarbon Fires in Enclosures
Authors: Moinuddin Khalid , Mahmud H. M. Iqbal , Joseph Paul , Gamble Grant , Suendermann Brigitta , Wilkinson Cameron , Bossard James
Published: March 2024

Fire is one of the most undesirable events onboard a ship. The engine room is one of the most critical spaces in the ship in terms of fire protection, as it includes machinery, hydrocarbon fuel systems, and different electrical equipment. With the phasing out of Halon 1301 as a fire suppressant over recent decades, there has been an intensive effort to explore the efficacy of water-mist spray in mitigating fires within machinery spaces. This exploration entails a comprehensive investigation through experimental and simulation studies aimed at identifying suppression mechanisms and evaluating their effectiveness. While experimental setups typically encompass measurements of gas temperature, thermal radiation heat flux, oxygen concentration, and fire extinction time, limited attention has been paid to quantifying the heat release rate (HRR), a crucial indicator of fire magnitude. Furthermore, research into shielded fire scenarios remains sparse, despite their significance in maritime fire dynamics. Addressing shielded fires with water mist proves particularly challenging due to the potential obstruction impeding the direct interaction between the fire source and the water droplets. In the existing literature, most of the computational fluid dynamics (CFD) modelling of fires and suppression was performed using a Fire Dynamics Simulator (FDS). Alternate studies were performed using FireFOAM. and very few employed FLUENT and other analogous software codes. In the majority of reported computational studies, the determination of HRR was typically relied upon for its calculation derived from the measured data of fuel mass loss rate. Moreover, certain studies were undertaken for numerical simulations without conducting thorough model validation, either by omitting validation altogether or solely validating against dry fire experiments (i.e., without water-mist suppression). This critical review of the literature has identified several notable research gaps in the context of extinguishing hydrocarbon fires utilising water-mist spray, warranting further investigations. Additionally, this review paper highlights recent advancements in both experimental and numerical investigations pertaining to the efficacy of water-mist fire-suppression systems in enclosed spaces regarding hydrocarbon fires.
Another One Bites the Net: Assessing the Economic Impacts of Lagocephalus sceleratus on Small-Scale Fisheries in Greece
Authors: Christidis Georgios , Batziakas Stratos , Peristeraki Panagiota , Tzanatos Evangelos , Somarakis Stylianos , Tserpes George
Published: March 2024

The assessment of the economic impacts of marine invasive species is fundamental for adopting mitigation measures, yet such impacts have been underreported in the Mediterranean Sea. The silver-cheeked toadfish (Lagocephalus sceleratus) is a toxic pufferfish that since its introduction has seriously disturbed small-scale fisheries along the eastern Mediterranean coast. This species depredates on fishing gears, causing damage to nets, longlines and commercial catches. To quantify its economic impact on small-scale fisheries, we interviewed 141 fishers from Crete (Cretan and Libyan Sea) and the Ionian Sea (Greece) during May 2020–December 2022. The mean annual economic cost resulting from L. sceleratus depredation was estimated at EUR 6315 ± 2620 per vessel in Crete and EUR 258 ± 120 in the Ionian Sea. Additionally, observer surveys carried out on board small-scale fishing vessels in Crete showed that depredation probability was significantly influenced by fishing depth, sea surface temperature, gear type (nets, longlines) and region (Cretan, Libyan Sea). L. sceleratus was caught more frequently and in higher numbers in the Libyan Sea. In response to depredation, fishers in Crete have altered their fishing tactics in terms of fishing in deeper waters, reducing fishing time and changing the technical characteristics of fishing gears. Our results underscore the adverse impacts of L. sceleratus on Greek small-scale fishers, emphasizing the need for region-specific management plans where the species establishes large populations.
Comprehensive Evaluation of the Nutritional Properties of Different Germplasms of Polygonatum cyrtonema Hua
Authors: Lu Mei , Zhang Luping , Kang Shixin , Ren Fengxiao , Yang Luyun , Zhang Qingyou , Jia Qiaojun
Published: March 2024

Polygonatum cyrtonema Hua, an edible resource and medical material, is mainly consumed as a food in China. However, few published studies have comprehensively assessed its nutritional components. In this study, the proximate, carbohydrate, and dietary fiber contents as well as the mineral, vitamin, and amino acid compositions of five sources of P. cyrtomena grown in Yuhang district, Hangzhou city, Zhejiang province, were investigated. The nutritional profile of the five germplasms was investigated using analytical chemistry methods. All germplasms had a low starch content and contained greater amounts of carbohydrates (23.25–34.29%), protein (2.96–5.40%), Ca (195.08–282.08 mg/100 g), Fe (29.68–59.37 mg/100 g), and vitamin C (60.49–149.86 mg/100 g) in comparison to ginger, yam, and potatoes. The polysaccharide content ranged from 16.92% to 28.48%, representing the main source of carbohydrates. Fructose, a desirable sweetener, was the most abundant monosaccharide, representing 1.06% to 4.88% of the content. P. cyrtonema was found to be high in dietary fiber, with pectin and resistant starch being the major soluble components and hemicellulose being the dominant insoluble dietary fiber. A correlation analysis (CA) revealed significant correlations for the carbohydrate components and dietary fiber fractions with other nutrients. A principal component analysis (PCA) identified significant differences between the nutritional characteristics of the five germplasms, with Huanggang having the highest comprehensive quality scores. Moreover, ten nutrient components were selected as potential indicators that could be used to further evaluate the nutritional quality of P. cyrtomena. Our results demonstrate the rich nutrient composition and characteristics of P. cyrtonema and provide a valuable reference for the future development and utilization of Polygonatum.
Development and Characterization of an Antioxidant and Antimicrobial Film Composited by Hydroxyethyl Cellulose and Sulfated Rice Bran Polysaccharides for Food Packaging
Authors: Chen Bing-Jie , Liu Gui-Ge , Wang Xiao , Liu Hong-Ru , Zhang Yi , Wang Chun-Fang , Liu Chen-Xia , Qiao Yong-Jin
Published: March 2024

The nonantimicrobial properties and relatively poor mechanical properties of hydroxyethyl cellulose (HEC) limit its use in packaging. Sulfated rice bran polysaccharides (SRBP) possess significant antioxidant and antimicrobial activities. The purpose of this study was to investigate the effect of different concentrations of SRBP on the physical and mechanical properties and the functional characteristics of HEC/SRBP films. The physical properties of the HEC/20% SRBP films, such as water resistance, water vapor barrier, light barrier, and tensile strength, improved significantly (p < 0.05) compared with those of the HEC films. Scanning electron microscopy and Fourier transform infrared spectrometry showed that HEC formed hydrogen bonds with SRBP and exhibited better compatibility. Thermogravimetric analysis revealed that the addition of SRBP was beneficial to the thermal stability of the films. In addition, the antioxidant and bacteriostatic properties of the films were enhanced by the addition of SRBP to HEC, with the 20% SRBP films showing the most significant enhancement in activity. Therefore, the HEC/20% SRBP films show potential for development for use as active food packaging.
Viability of Lactobacillus reuteri DSM 17938 Encapsulated by Ionic Gelation during Refractance Window® Drying of a Strawberry Snack
Authors: Mosquera-Vivas Esmeralda , Ayala-Aponte Alfredo , Serna-Cock Liliana , Torres-León Cristian , Tirado Diego F.
Published: March 2024

The selection of appropriate probiotic strains is vital for their successful inclusion in foods. These strains must withstand processing to reach consumers with ≥106 CFU/g, ensuring effective probiotic function. Achieving this in commercial products is challenging due to sensitivity to temperature during processing. In this work, Lactobacillus reuteri DSM 17938 was microencapsulated by ionic gelation (with alginate or pectin) followed by polymeric coating (with whey protein concentrate or chitosan). Then, such microcapsules were incorporated into a strawberry puree, which was subsequently dehydrated at three temperatures (40 °C, 45 °C, and 50 °C) by Refractance Window®. The ultimate aim was to demonstrate the efficacy of the proposed methods from a technological point of view. Kinetic curves of the probiotic’s viability showed a high cell loading (>109 CFU/g). Additionally, an average encapsulation efficiency of 91% and a particle size of roughly 200 µm were found. A decrease in the viability of the microorganism was observed as drying temperature and time increased. As a demonstration of the above, in a particular case, drying at 45 °C and 50 °C, viable cells were found up to 165 min and 90 min, respectively; meanwhile, drying at 40 °C, viable cells were reported even after 240 min. The greatest viability preservation was achieved with Refractance Window® drying at 40 °C for 240 min when microcapsules coated with whey protein concentrate were incorporated into puree; this procedure showed great potential to produce dehydrated strawberry snacks with moisture (15%), water activity (aw < 0.6), and viability (≥106 CFU/g) suitable for functional foods. The membrane-stabilizing properties of whey protein concentrate could prevent cell damage. In contrast, probiotics in chitosan-coated capsules showed reduced viability, potentially due to antimicrobial properties and the formation of cracks. These findings signify a breakthrough in the production of dehydrated snacks with the addition of probiotics, addressing challenges in preserving the viability of these probiotics during processing; thus, opening the possibility for the development of a probiotic strawberry snack.
Bread Improvement with Nutraceutical Ingredients Obtained from Food By-Products: Effect on Quality and Technological Aspects
Authors: Scappaticci Giulio , Mercanti Nicola , Pieracci Ylenia , Ferrari Corrado , Mangia Roberto , Marianelli Andrea , Macaluso Monica , Zinnai Angela
Published: March 2024

The use of by-products as functional ingredients for bread recipes may open up new horizons in terms of product innovation to increase nutraceutical characteristics and/or shelf-life. In this research, the ability of residual products from important food chains (Citrus and wine) to influence the water binding capacity of dough and bread was investigated in order to create industrial breads of high quality with prolonged shelf-life in the absence of any chemical additives (e.g., ethanol, sorbic acid, and propionic acid). The product under study is the ‘Pan Bauletto bianco con olio EVO’ (white bakery bread with EVO oil), an ‘industrial bread’ type usually treated with ethanol before being marketed, aiming to prolong its short shelf-life. The effect of the addition of different amounts of pectin (Citrus supply chain) and grape pomace (wine supply chain), in combination or not, has shown promising results from both a technological point of view and the increasing shelf-life, allowing to obtain products with high nutraceutical value and interesting properties.
Micro- and Macroalgae in Meat Products
Authors: Siladji Caba , Djordjevic Vesna , Milijasevic Jelena Babic , Heinz Volker , Terjung Nino , Sun Weizheng , Tomasevic Igor
Published: March 2024

Technology in the meat industry is advancing to create healthier and more sustainable food. Incorporating micro- and macroalgae into meat products presents an exciting possibility for the meat sector to develop functional food, given that they serve as excellent natural sources of nutrients and bioactive compounds. This review aims to systematically outline the impact of incorporating whole algae and their extracts into various meat products, examining their effects on quality, physicochemical and functional properties, sensory characteristics, and potential for enhancing shelf life. Adding algae to meat products generally increased pH values, with variations influenced by concentration, type, initial pH, and storage time. The protein content was mainly unaffected, except for Nori and Chlorella. Algae contributed to lower moisture and higher ash content due to dietary fiber. While including algae improved water-holding capacity and decreased cooking loss, it often led to increased hardness and chewiness. Algae and their extracts influenced color attributes, with variations based on the algae type. Sensory properties were distinctively affected, generally reducing overall acceptability, although Sea tangle at concentrations of 1–3% showed acceptable scores. Chlorella and Sea tangle positively impacted microbiology during refrigerated storage, while algae and their extracts demonstrated strong antioxidant activity.
One Cup of Coffee a Day Modulates the Relationship between Metabolic Syndrome and Eating Fast: A Cross-Sectional Study
Authors: Hiramatsu Reisa , Ozaki Etsuko , Tomida Satomi , Koyama Teruhide
Published: March 2024

Background: Eating speed has been implicated as a leading cause of metabolic syndrome (MetS). However, it is difficult to break the habit of eating fast. Since coffee consumption is associated with a lower risk of MetS, we investigated the association between eating speed and the amount of coffee consumed with MetS. Methods: This study included data from 3881 participants (2498 females and 1383 males). We used a self-administered questionnaire to collect information on participants’ coffee consumption (<1 cup/day and ≥1 cup/day) and eating speed (slow, normal, or fast). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression analyses to investigate the relationship between the prevalence of MetS due to eating speed and the amount of coffee consumed. Results: The group that consumed ≥1 cup/day of coffee (filtered or instant) had a lower OR for MetS compared to the group that consumed <1 cup/day (OR: 0.695; 95% Cl: 0.570–0.847). The eating fast group, compared to the eating slow group, had a higher OR for MetS (OR: 1.689; 95% Cl: 1.227–2.324). When the data were stratified by coffee consumption and eating speed groups, the slow-eating group among those who consumed <1 cup/day of coffee (filtered or instant) had a lower OR for MetS (OR: 0.502; 95% CI: 0.296–0.851) compared to the fast-eating group. In contrast, the groups who consumed ≥1 cup/day of coffee were associated with lower OR for MetS, regardless of their eating speed. Conclusions: This suggests that drinking ≥1 cup/day of coffee may help prevent MetS induced by eating fast.
Epidemiological Overview of Overweight and Obesity Related to Eating Habits, Physical Activity and the Concurrent Presence of Depression and Anxiety in Adolescents from High Schools in Mexico City: A Cross-Sectional Study
Authors: Gutiérrez Tolentino Rey , Lazarevich Irina , Gómez Martínez Manuel Abraham , Barriguete Meléndez Jorge Armando , Schettino Bermúdez Beatriz , Pérez González José Jesús , del Muro Delgado Rubén , Radilla Vázquez Claudia Cecilia
Published: March 2024

Overweight and obesity in adolescents has become a serious public health problem worldwide and Mexico City is no exception. Therefore, the objective of this study was to investigate the epidemiological panorama of overweight and obesity related to eating habits, physical activity and the concurrent presence of depression and anxiety in adolescents from high schools in Mexico City. Anthropometric measurements were taken from 2710 adolescents from 33 participating high schools. Likewise, a previously validated eating habit and physical activity questionnaire was administered, which consisted of four different sections, where each of the sections focused on key aspects of the participants’ lifestyle: (1) eating habits, (2) intake of non-recommended foods, (3) food and company environment, and (4) physical activity. Moreover, the Hospital Anxiety and Depression Scale (HADS) for anxiety and depression was applied. In this study, a high prevalence of overweight and obesity (26.5% overweight and 20.0% obese) was found in adolescents from high schools in Mexico City. Only 13.14% of participants had adequate eating habits and 18.19% physical activity habits. An association was found between having inadequate eating habits and obesity in adolescent women (OR = 1.95; CI 1.009–3.76). Additionally, associations were observed between depression symptoms and obesity (OR = 5.68, CI 1.36–32.81; p = 0.01), while anxiety was associated with underweight and obesity adjusted by other dietary habits and psychological factors. Therefore, it is important to identify adolescents with overweight or obesity and establish prevention strategies for weight control in this age group, promoting healthy eating, physical activity and education in mental health.
Enhancing Quality of Life and Sexual Functioning in Female Androgenetic Alopecia: Therapeutic Potential of Hair Follicle-Derived Stem Cells
Authors: Krefft-Trzciniecka Katarzyna , Cisoń Hanna , Pakiet Alicja , Nowicka Danuta , Szepietowski Jacek C.
Published: March 2024

Background: The study aimed to examine the impact of stem cell treatment on quality of life (QoL) and sexual functioning in women with androgenetic alopecia (AGA). Methods: Twenty-three women underwent a single session of autologous cellular micrografts (ACMs). The World Health Organization Quality of Life Brief Version (WHOQOL-BREF) and Female Sexual Function Index (FSFI) were used before and after 6 months. Results: The AGA severity decreased by an average of 1 point on the Ludwig scale (p = 0.004) after treatment. FSFI scores indicated sexual dysfunction in over half of the women at baseline, but they improved significantly post-treatment for arousal [median (IQR): 4.8 (1.5) vs. 5.10 (0.9); p = 0.035] and satisfaction [4.4 (1.4) vs. 4.8 (1.8); p = 0.025]. QoL scores improved after treatment in psychological health (57.96 ± 19.0 vs. 69.35 ± 14.0; p = 0.031) and environment (72.96 ± 13.4 vs. 81.09 ± 12.6; p = 0.007), but not in physical health and social relationships. No associations were found between the WHOQOL-BREF or FSFI domains versus age and AGA severity. Conclusions: AGA reduces QoL and impacts sexual functioning in women with AGA. The high treatment burden arises from the chronic and progressive nature of AGA, coupled with limited treatment effectiveness. Effective treatments for AGA, like ACM, are urgently needed to enhance patient-reported outcomes along with clinical results.
Surgical Emergencies in Patients with Hemophilia A—What to Expect
Authors: Tanevski Adelina , Ciuntu Bogdan Mihnea , Badulescu Oana Viola , Buescu David Ovidiu , Zuzu Mihai Marius , Lutenco Valerii , Mihailov Raul , Cirdeiu Ciprian , Vintila Dan , Lozneanu Lili Gabriela , Andronic Dan , Georgescu Stefan Octavian
Published: March 2024

Surgical emergencies in patients with hemophilia A represent a major risk of mortality without proper multidisciplinary management and require prompt and effective treatment to prevent complications and improve patient outcomes. We present a short number of cases that were hospitalized in the I–II Surgery Clinic of the Emergency County Hospital “St. Spiridon” from Iasi, Romania, with hemophilia A requiring surgical emergencies. The timing of surgical intervention is very important, so the indication for surgical intervention must be made judiciously and without delay. Consequently, it is vital to ensure access to hemostatic support so surgery can be performed on these patients, ultimately saving their lives.
Genome-Wide Identification of the PEBP Family Gene in Three Cymbidium Species and Its Expression Patterns Analysis in C. ensifolium
Authors: Chen Jinliao , Wang Fei , Zhang Yangting , Zheng Ruiyue , Wu Xiaopei , Ai Ye , Ahmad Sagheer , Liu Zhongjian , Peng Donghui
Published: March 2024

The PEBP gene family is involved in many biological processes in plants, including plant growth and development, flowering regulation, light response, and abiotic stress response. But there is little information about the role of the PEBP gene family in Cymbidium species. In this study, we identified 11, 9, and 7 PEBP genes in C. ensifolium, C. sinense, and C. goeringii, respectively, and mapped them to the chromosomes. We also studied the physicochemical characteristics of the proteins encoded by these PEBPs and analyzed their intra-species collinearity, gene structure, conserved motifs, and cis-acting elements. Furthermore, a total of forty PEBP genes from C. sinense, C. ensifolium, C. goeringii, Phalaenopsis, and Arabidopsis were divided into three clades based on the phylogenetic tree. The expression patterns of 11 PEBP genes in different tissues and organs of C. ensifolium were analyzed based on transcriptome data, indicating that the CePEBPs might play an important role in the growth and development, especially in the flower bud organs (1–5 mm). CePEBP5 plays an indispensable role in both the vegetative and reproductive growth cycles of C. ensifolium. CePEBP1 is essential for root development, while CePEBP1, CePEBP3, CePEBP5, and CePEBP10 regulate the growth and development of different floral organ tissues at various stages. The findings of this study can do a great deal to understand the roles of the PEBP gene family in Cymbidium.
Genome-Wide Identification, Characterization and Expression Profile of F-Box Protein Family Genes Shed Light on Lateral Branch Development in Cultivated Peanut (Arachis hypogaea L.)
Authors: Li Chuheng , Guo Liguo , Wang Weiqian , Miao Penghui , Mu Guojun , Chen Charles Y. , Meng Chengsheng , Yang Xinlei
Published: March 2024

F-box proteins are a large gene family in plants, and play crucial roles in plant growth, development, and stress response. To date, a comprehensive investigation of F-box family genes in peanuts, and their expression pattern in lateral branch development has not been performed. In this study, a total of 95 F-box protein family members on 18 chromosomes, named AhFBX1-AhFBX95, were identified in cultivated peanut (Arachis hypogaea L.), which were classified into four groups (Group I–IV). The gene structures and protein motifs of these peanut FBX genes were highly conserved among most FBXs. We found that significant segmental duplication events occurred between wild diploid species and the allotetraploid of peanut FBXs, and observed that AhFBXs underwent strong purifying selection throughout evolution. Cis-acting elements related to development, hormones, and stresses were identified in the promoters of AhFBX genes. In silico analysis of AhFBX genes revealed expression patterns across 22 different tissues. A total of 32 genes were predominantly expressed in leaves, pistils, and the aerial gynophore tip. Additionally, 37 genes displayed tissue-specific expression specifically at the apex of both vegetative and reproductive shoots. During our analysis of transcriptome data for lateral branch development in spreading and erect varieties, namely M130 and JH5, we identified nine deferentially expressed genes (DEGs). Quantitative real-time PCR (qRT-PCR) results further confirmed the expression patterns of these DEGs. These DEGs exhibited significant differences in their expression levels at different stages between M130 and JH5, suggesting their potential involvement in the regulation of lateral branch development. This systematic research offers valuable insights into the functional dissection of AhFBX genes in regulating plant growth habit in peanut.
HS-SPME-GC–MS Profiling of Volatile Organic Compounds and Polar and Lipid Metabolites of the “Stendesto” Plum–Apricot Kernel with Reference to Its Parents
Authors: Mihaylova Dasha , Popova Aneta , Dincheva Ivayla , Pandova Svetla
Published: March 2024

Plum–apricot hybrids are the successful backcrosses of plums and apricots. Plums and apricots are well-known and preferred by consumers because of their distinct sensory and beneficial health properties. However, kernel consumption remains limited even though kernels are easily accessible. The “Stendesto” hybrid originates from the “Modesto” apricot and the “Stanley” plum. Kernal metabolites exhibited quantitative differences in terms of metabolites identified by gas chromatography–mass spectrometry (GC–MS) analysis and HS-SPME technique profiling. The results revealed a total of 55 different compounds. Phenolic acids, hydrocarbons, organic acids, fatty acids, sugar acids and alcohols, mono- and disaccharides, as well as amino acids were identified in the studied kernels. The hybrid kernel generally inherited all the metabolites present in the parental kernels. Volatile organic compounds were also investigated. Thirty-five compounds identified as aldehydes, alcohols, ketones, furans, acids, esters, and alkanes were present in the studied samples. Considering volatile organic compounds (VOCs), the hybrid kernel had more resemblance to the plum one, bearing that alkanes were only identified in the apricot kernel. The objective of this study was to investigate the volatile composition and metabolic profile of the first Bulgarian plum–apricot hybrid kernels, and to provide comparable data relevant to both parents. With the aid of principal component analysis (PCA) and hierarchical cluster analysis (HCA), differentiation and clustering of the results occurred in terms of the metabolites present in the plum–apricot hybrid kernels with reference to their parental lines. This study is the first providing information about the metabolic profile of variety-defined kernels. It is also a pioneering study on the comprehensive evaluation of fruit hybrids.