bluuebunny/crossref_metadata_2025 huggingface dataset:
Preservation of Malolactic Starters of Lactiplantibacillus plantarum Strains Obtained by Solid-State Fermentation on Apple Pomace
Authors: Navarro Marina Edith , Brizuela Natalia Soledad , Flores Naiquén Elizabeth , Morales Manuel , Semorile Liliana Carmen , Valdes La Hens Danay , Caballero Adriana Catalina , Bravo-Ferrada Barbara Mercedes , Tymczyszyn Emma Elizabeth
Published: June 2024

Malolactic fermentation (MLF) is a biological process of deacidification of wines that may also help to increase the microbiological stability of the product and to enhance its sensorial attributes, in particular its aromatic profile. MLF can occur spontaneously due to the presence of indigenous bacteria in the environment of fermented beverages such as wines and ciders. However, the inoculation of lactic acid bacteria (LAB) starter cultures could prevent potential losses and standardize the process. The industrial-scale production of these starter cultures requires cost-effective, sustainable, and feasible approaches. A possible approach to acquire bacterial biomass, while addressing waste disposal concerns, is the use of by-products from the apple juice industry, such as apple pomace. Moreover, to ensure the long-term viability and activity of starter cultures, appropriate preservation methodologies need to be developed. Thus, the aim of the present study was to evaluate the growth of two Lactiplantibacillus plantarum strains, UNQLp11 and UNQLp155, in supplemented apple pomace and to optimize the preservation conditions. Cultures were either frozen or freeze dried (trehalose (20% m/v) as a protective agent, potassium phosphate buffer (pH 7), and a combination of trehalose and buffer), and then cell viability and malolactic activity were analyzed under wine stress conditions. Notably, the combination of phosphate buffer at pH 7.0 and trehalose emerged as the most effective preservation strategy for freeze drying, exhibiting enhanced viability and malic acid consumption for the two strains evaluated. These findings underscore the inexpensive and sustainable viability of using a semi-solid medium formulated with apple pomace for LAB biomass production and subsequent preservation.
Pain, Function and Trunk/Hip Flexibility Changes Immediately after Clinical Pilates Exercises in Young Adults with Mild Chronic Low Back Pain
Authors: Tan Li Yi , Teh Ryan Han Rong , Kwok Boon Chong
Published: June 2024

Background: Pilates is among the best conservative management strategies for chronic low back pain. However, several variations of Pilates exist. This study aimed to investigate physical measures that would detect immediate changes after a brief session of Clinical Pilates exercises. Changes in self-reported clinical outcomes, pain and function were also evaluated. Methods: A prospective cohort study was conducted. Eighteen young adults with chronic low back pain participated in this study. Participants were assessed for pain and function subjectively, and hip/knee strength and trunk/hip flexibility objectively, followed by a session of Clinical Pilates assessment and exercises. After the exercises, the participants were immediately reassessed for pain, function, strength, and flexibility. Results: Trunk/hip flexibility showed statistically significant changes after exercise, which were measured with the sit-and-reach test (−3.44 cm, 95% CI [−5.10, −1.79], p < 0.001) and the finger-to-floor test (−6.29 cm [−9.51, −3.06], p = 0.001). Statistical significance was not found in detecting strength changes in hip extension, hip abduction, and knee extension. Changes in pain (1.56 points [0.83, 2.28], p < 0.001) and patient-specific functional scale (−1.52 points [−1.93, −1.10], p < 0.001) were also found after exercise. Conclusions: Trunk/hip flexibility measures detected physical changes after Clinical Pilates exercise, as well as self-reported pain and function outcomes, without reducing strength performance.
Harnessing Immunoinformatics for Precision Vaccines: Designing Epitope-Based Subunit Vaccines against Hepatitis E Virus
Authors: Oladipo Elijah Kolawole , Dairo Emmanuel Oluwatobi , Bamigboye Comfort Olukemi , Ajayi Ayodeji Folorunsho , Onile Olugbenga Samson , Ariyo Olumuyiwa Elijah , Jimah Esther Moradeyo , Oyawoye Olubukola Monisola , Oloke Julius Kola , Iwalokun Bamidele Abiodun , Ajani Olumide Faith , Onyeaka Helen
Published: June 2024

Background/Objectives: Hepatitis E virus (HEV) is an RNA virus recognized to be spread mainly by fecal-contaminated water. Its infection is known to be a serious threat to public health globally, mostly in developing countries, in which Africa is one of the regions sternly affected. An African-based vaccine is necessary to actively prevent HEV infection. Methods: This study developed an in silico epitope-based subunit vaccine, incorporating CTL, HTL, and BL epitopes with suitable linkers and adjuvants. Results: The in silico-designed vaccine construct proved immunogenic, non-allergenic, and non-toxic and displayed appropriate physicochemical properties with high solubility. The 3D structure was modeled and subjected to protein docking with Toll-like receptors 2, 3, 4, 6, 8, and 9, which showed a stable binding efficacy, and the dynamics simulation indicated steady interaction. Furthermore, the immune simulation predicted that the designed vaccine would instigate immune responses when administered to humans. Lastly, using a codon adaptation for the E. coli K12 bacterium produced optimum GC content and a high CAI value, which was followed by in silico integration into a pET28 b (+) cloning vector. Conclusions: Generally, these results propose that the design of an epitope-based subunit vaccine can function as an outstanding preventive vaccine candidate against HEV, although validation techniques via in vitro and in vivo approaches are required to justify this statement.
Reconsidering Leadership Development: From Programs to Developmental Systems
Authors: Day David V. , Dannhäuser Laura
Published: June 2024

We argue for reconsidering leadership development based on open systems theory and systems design principles. A primary advantage of open systems thinking is that it encourages holistic approaches to development and avoids episodic program-based training and piecemeal thinking. The latter approaches are both limited and limiting yet tend to be the preferred approach to leadership development in organizations. Open systems approaches to development offer numerous advantages both conceptually and pragmatically, especially through the incorporation of ongoing feedback cycles. Core practices that define a leadership development system are presented and implications are discussed.
Data Management Framework for Highways: An Unreal Engine-Based Digital Sandbox Platform
Authors: Lv Huabing , Wu Guoqiang , Song Jianping , Mo Chunhua , Yao Guowen , He Xuanbo
Published: June 2024

The problems of information isolation, inefficiency, and paper-based data archiving in traditional highway survey and design methods are investigated in this paper. A novel digital sandbox platform framework was developed to promote the efficiency of route design, model data integration, and information sharing. Under the presented framework, an integrated application method for both the Building Information Modeling (BIM) and Geographic Information System (GIS) technologies was designed by using Unreal Engine technology. Firstly, a digital base model was established by integrating multi-disciplinary BIM model data and GIS three-dimensional (3D) multi-scale scene model data. On this basis, using Unreal Engine technology for visualization development, a digital sandbox platform with the data visualization, traffic organization simulation analysis, 3D spatial analysis, component information query, and scene switching functions was developed, which satisfies the 3D visualization and digitalization needs in the current highway planning and design. Additionally, the Analytic Hierarchy Process (AHP) was employed to analyze the impact of digital base model on the development and application of platform modules, including five crucial factors: data accuracy, data representation, multi-source data fusion, data management capability, and scene semantic representation. Finally, the research results indicate that the proposed digital sandbox platform framework provides users with a platform for integrated data management, information sharing, and 3D data visualization, while reducing design time by 30%, total design cost by 12%, and land occupancy rate by 10%.
Essential Load-Bearing Characteristics of Steel–Concrete Composite Floor System in Fire Revealed by Structural Stressing State Theory
Authors: Zhang Dashan , Qi Jianquan , Wang Huiqing , Wang Kang , Dong Yuli , Zhou Guangchun
Published: June 2024

This study reveals the essential load-bearing characteristics of the steel–concrete composite floor system under fire conditions applying the structural stressing state theory. Firstly, the strain data in the entire process of the fire test are modeled as state variables which can present the slab’s stressing state evolution characteristics. Then, the state variables are used to build the stressing state mode and the parameter characterizing the mode. Further, the Mann–Kendall criterion is adopted to detect the leap points in the evolution curves of the characteristic parameters during the entire fire exposure process. Also, the evolution curves of the stressing state modes are investigated to verify the leap profiles around the leap/characteristic points. Finally, the detected leap points are defined as the failure starting points and elastoplastic branching points, which is unseen in past research focusing on the failure endpoint defined at the ultimate load-bearing state of the composite floor system. The failure starting point and the elastoplastic branching point are the embodiment of natural law from quantitative change to quality change in a system rather than an empirical and statistical judgment. Hence, both characteristic points avoidably exist in the strain data of the composite floor system undergoing the fire process, which can be revealed through the proper modeling methods and update the existing theories and methods on structural analysis and design in fire.
Anti-Adenoviral Effect of Human Argonaute 2 Alone and in Combination with Artificial microRNAs
Authors: Ausserhofer Philipp , Kiss Izabella , Witte Angela , Klein Reinhard
Published: June 2024

During infection, adenoviruses inhibit the cellular RNA interference (RNAi) machinery by saturating the RNA-induced silencing complex (RISC) of the host cells with large amounts of virus-derived microRNAs (mivaRNAs) that bind to the key component of the complex, Argonaute 2 (AGO2). In the present study, we investigated AGO2 as a prominent player at the intersection between human adenovirus 5 (HAdV-5) and host cells because of its ability to interfere with the HAdV-5 life cycle. First, the ectopic expression of AGO2 had a detrimental effect on the ability of the virus to replicate. In addition, in silico and in vitro analyses suggested that endogenous microRNAs (miRNAs), particularly hsa-miR-7-5p, have similar effects. This miRNA was found to be able to target the HAdV-5 DNA polymerase mRNA. The inhibitory effect became more pronounced upon overexpression of AGO2, likely due to elevated AGO2 levels, which abolished the competition between cellular miRNAs and mivaRNAs for RISC incorporation. Collectively, our data suggest that endogenous miRNAs would be capable of significantly inhibiting viral replication if adenoviruses had not developed a mechanism to counteract this function. Eventually, AGO2 overexpression-mediated relief of the RISC-saturating action of mivaRNAs strongly enhanced the effectiveness of artificial miRNAs (amiRNAs) directed against the HAdV-5 preterminal protein (pTP) mRNA, suggesting a substantial benefit of co-expressing amiRNAs and AGO2 in RNAi-based strategies for the therapeutic inhibition of adenoviruses.
Vapor-Driven Crosslinked Hydroxypropyl-β-Cyclodextrin Electrospun Nanofibrous Membranes for Ultrafast Dye Removal
Authors: Xu Xinmiao , Zhang Yi , Chen Yong , Liu Yu
Published: June 2024

Traditional separation membranes used for dye removal often suffer from a trade-off between separation efficiency and water permeability. Herein, we propose a facile approach to prepare cyclodextrin-based high-flux nanofiber membranes by electrospinning and vapor-driven crosslinking processes. The application of glutaraldehyde vapor for crosslinking hydroxypropyl-β-cyclodextrin (HP-β-CD)/polyvinyl alcohol (PVA)/laponite electrospun membranes can build interconnected structures and lead to the formation of a porous hierarchical layer. In addition, the incorporation of inorganic salt, laponite, can alter the crosslinking process, resulting in membranes with improved hydrophilicity and highly maintained electrospun nanofibrous morphology, which contributes to an ultrafast water flux of 1.0 × 105 Lh−1m−2bar−1. Due to the synergetic effect of strong host–guest interaction and electrostatic interaction, the membranes exhibit suitable rejection toward anionic dyes with a high removal efficiency of >99% within a short time and achieve accurate separation for cationic against anionic dyes, accompanied by suitable recyclability with >97% separation efficiency after at least four separation–regenerations. The prepared membranes with remarkable separation efficiency and ultrafast permeation properties might be a promising candidate for high-performance membranes in water treatment.
Substrate Influence on Enzymatic Activity in Cordyceps militaris for Health Applications
Authors: Trung Nguyen Quang , Dat Nguyen Tien , Anh Ho Ngoc , Tung Quach Ngoc , Nguyen Vu Thi Hanh , Van Ho Ngoc Bich , Van Nguyen Minh Nhat , Minh Truong Ngoc
Published: June 2024

Cordyceps militaris, well known for its therapeutic potential in managing type-2 diabetes through the inhibition of α-amylase and α-glucosidase enzymes, was the central focus of this research, which investigated the influence of various cultivation substrates on its enzymatic inhibitory properties and bioactive compound content. Previous studies have primarily focused on the general pharmacological benefits of C. militaris but have not thoroughly explored how different substrates affect its bioactive profile and enzyme inhibitory activities. This study aimed to evaluate the impact of substrate selection on the enzyme inhibition activities and the levels of bioactive compounds such as cordycepin and adenosine in C. militaris, demonstrating that substrate selection markedly affects both these enzymes’ inhibition activities and bioactive compound levels. Particularly, C. militaris fruiting bodies grown on Brihaspa atrostigmella showed the highest concentrations of cordycepin (2.932 mg/g) and adenosine (1.062 mg/g). This substrate also exhibited the most potent α-glucosidase inhibition with an IC50 value of 336.4 ± 16.0 µg/mL and the most effective α-amylase inhibition with an IC50 value of 504.6 ± 4.2 µg/mL. Conversely, C. militaris cultivated on the solid residues of Gryllus bimaculatus displayed the strongest xanthine oxidase (XOD) inhibition, with the lowest IC50 value of 415.7 ± 11.2 µg/mL. These findings highlight the critical role of substrate choice in enhancing the medicinal properties of C. militaris, suggesting that optimized cultivation can enhance the bioactive properties for more effective natural therapies for diabetes and other metabolic disorders. This study not only extends the understanding of C. militaris’ pharmacological potential but also illustrates its applicability in developing customized treatment options.
Enhancing Osteoblast Differentiation from Adipose-Derived Stem Cells Using Hydrogels and Photobiomodulation: Overcoming In Vitro Limitations for Osteoporosis Treatment
Authors: Da Silva Daniella , Crous Anine , Abrahamse Heidi
Published: June 2024

Osteoporosis represents a widespread and debilitating chronic bone condition that is increasingly prevalent globally. Its hallmark features include reduced bone density and heightened fragility, which significantly elevate the risk of fractures due to the decreased presence of mature osteoblasts. The limitations of current pharmaceutical therapies, often accompanied by severe side effects, have spurred researchers to seek alternative strategies. Adipose-derived stem cells (ADSCs) hold considerable promise for tissue repair, albeit they encounter obstacles such as replicative senescence in laboratory conditions. In comparison, employing ADSCs within three-dimensional (3D) environments provides an innovative solution, replicating the natural extracellular matrix environment while offering a controlled and cost-effective in vitro platform. Moreover, the utilization of photobiomodulation (PBM) has emerged as a method to enhance ADSC differentiation and proliferation potential by instigating cellular stimulation and facilitating beneficial performance modifications. This literature review critically examines the shortcomings of current osteoporosis treatments and investigates the potential synergies between 3D cell culture and PBM in augmenting ADSC differentiation towards osteogenic lineages. The primary objective of this study is to assess the efficacy of combined 3D environments and PBM in enhancing ADSC performance for osteoporosis management. This research is notably distinguished by its thorough scrutiny of the existing literature, synthesis of recent advancements, identification of future research trajectories, and utilization of databases such as PubMed, Scopus, Web of Science, and Google Scholar for this literature review. Furthermore, the exploration of biomechanical and biophysical stimuli holds promise for refining treatment strategies. The future outlook suggests that integrating PBM with ADSCs housed within 3D environments holds considerable potential for advancing bone regeneration efforts. Importantly, this review aspires to catalyse further advancements in combined therapeutic strategies for osteoporosis regeneration.
Significance of CD10 for Mucosal Immunomodulation by β-Casomorphin-7 in Exacerbation of Ulcerative Colitis
Authors: Miyagawa Yoshihiro , Fujiwara-Tani Rina , Ikemoto Ayaka , Sasaki Rika , Ogata Ruiko , Nishiguchi Yukiko , Goto Kei , Kawahara Isao , Sasaki Takamitsu , Kuniyasu Hiroki
Published: June 2024

β-Casomorphin-7 (BCM), a breakdown product of milk β-casein, exhibits opioid activity. Opioids are known to affect the immune system, but the effects of BCM on ulcerative colitis (UC) are not clear. We examined the effects of BCM on mucosal immunity using a mouse dextran sulfate sodium-induced colitis model and an in vitro CD8+ T cell activation model. Human UC patients were examined to reveal the relationship between CD10 and mucosal immunity. Combined treatment of the colitis model with thiorphan (TOP) inhibited BCM degradation by suppressing CD10 in the intestinal mucosa, activating mouse mucosal CD8, and suppressing CD4 and Treg. In the CD8+ T cell in vitro activation assay using mouse splenocytes, BCM inhibited the oxidative phosphorylation (OXPHOS) of CD8+ T cells and induced the glycolytic pathway, promoting their activation. Conversely, in a culture system, BCM suppressed OXPHOS and decreased defensin α production in IEC6 mouse intestinal epithelial cells. In the mouse model, BCM reduced defensin α and butyrate levels in the colonic mucosa. During the active phase of human ulcerative colitis, the downward regulation of ileal CD10 expression by CpG methylation of the gene promoter was observed, resulting in increased CD8 activation and decreased defensin α and butyrate levels. BCM is a potential aggravating factor for UC and should be considered in the design of dietary therapy. In addition, decreased CD10 expression may serve as an indicator of UC activity and recurrence, but further clinical studies are needed.
Mapping and Candidate Gene Analysis of the Low-Temperature-Sensitive Albino Gene OsLTSA8 in Rice Seedlings
Authors: Wei Yu , Li Xiaoqiong , Li Dongxiu , Su Xuejun , Huang Yunchuan , Li Qiuwen , Liang Manling , Yang Xinghai
Published: June 2024

Chloroplasts are organelles responsible for photosynthesis in plants, providing energy for growth and development. However, the genetic regulatory mechanisms underlying early chloroplast development in rice remain incompletely understood. In this study, we identified a rice seedling thermosensitive chlorophyll-deficient mutant, osltsa8, and the genetic analysis of two F2 populations suggested that this trait may be controlled by more than one pair of alleles. Through reciprocal F2 populations and QTL-seq technology, OsLTSA8 was mapped to the interval of 24,280,402–25,920,942 bp on rice chromosome 8, representing a novel albino gene in rice. Within the candidate gene region of OsLTSA8, there were 258 predicted genes, among which LOC_Os08g39050, LOC_Os08g39130, and LOC_Os08g40870 encode pentatricopeptide repeat (PPR) proteins. RNA-seq identified 18 DEGs (differentially expressed genes) within the candidate interval, with LOC_Os08g39420 showing homology to the pigment biosynthesis-related genes Zm00001d017656 and Sb01g000470; LOC_Os08g39430 and LOC_Os08g39850 were implicated in chlorophyll precursor synthesis. RT-qPCR was employed to assess the expression levels of LOC_Os08g39050, LOC_Os08g39130, LOC_Os08g40870, LOC_Os08g39420, LOC_Os08g39430, and LOC_Os08g39850 in the wild-type and mutant plants. Among them, the differences in the expression levels of LOC_Os08g39050 and LOC_Os08g39430 were the most significant. This study will contribute to further elucidating the molecular mechanisms of rice chloroplast development.
Genetic Insights into Azoospermia and Severe Oligozoospermia: Discovering Seven SNPs through GWAS and In Silico Analysis
Authors: Chatziparasidou Alexia , Kyrgiafini Maria-Anna , Sarafidou Theologia , Moutou Katerina A. , Mamuris Zissis
Published: June 2024

Azoospermia and severe oligozoospermia represent the most extreme forms of male infertility. Despite their prevalence, the genetic foundations of these conditions are not well understood, with only a limited number of genetic factors identified so far. This study aimed to identify single-nucleotide polymorphisms (SNPs) linked to both azoospermia and severe oligozoospermia. We conducted a genome-wide association study (GWAS) involving 280 Greek males with normal semen parameters and 85 Greek males diagnosed with either azoospermia or severe oligozoospermia. Following rigorous quality control measures, our analysis identified seven SNPs associated with azoospermia/severe oligozoospermia. An in silico functional annotation was subsequently used to further investigate their role. These SNPs, found in regions not previously associated with male reproductive disorders, suggest novel genetic pathways that may contribute to these forms of infertility and pave the way for future studies. Additionally, this study sheds light on the significant role of noncoding RNAs in the pathogenesis of male infertility, with three of the identified SNPs situated in long intergenic non-coding RNAs (lincRNAs). Our findings highlight the intricate genetic landscape of azoospermia and severe oligozoospermia, underlining the necessity for more detailed studies to fully grasp the underlying mechanisms and their potential for informing diagnostic and therapeutic strategies.
Translation of Epigenetics in Cell-Free DNA Liquid Biopsy Technology and Precision Oncology
Authors: Tan Wan Ying , Nagabhyrava Snigdha , Ang-Olson Olivia , Das Paromita , Ladel Luisa , Sailo Bethsebie , He Linda , Sharma Anup , Ahuja Nita
Published: June 2024

Technological advancements in cell-free DNA (cfDNA) liquid biopsy have triggered exponential growth in numerous clinical applications. While cfDNA-based liquid biopsy has made significant strides in personalizing cancer treatment, the exploration and translation of epigenetics in liquid biopsy to clinical practice is still nascent. This comprehensive review seeks to provide a broad yet in-depth narrative of the present status of epigenetics in cfDNA liquid biopsy and its associated challenges. It highlights the potential of epigenetics in cfDNA liquid biopsy technologies with the hopes of enhancing its clinical translation. The momentum of cfDNA liquid biopsy technologies in recent years has propelled epigenetics to the forefront of molecular biology. We have only begun to reveal the true potential of epigenetics in both our understanding of disease and leveraging epigenetics in the diagnostic and therapeutic domains. Recent clinical applications of epigenetics-based cfDNA liquid biopsy revolve around DNA methylation in screening and early cancer detection, leading to the development of multi-cancer early detection tests and the capability to pinpoint tissues of origin. The clinical application of epigenetics in cfDNA liquid biopsy in minimal residual disease, monitoring, and surveillance are at their initial stages. A notable advancement in fragmentation patterns analysis has created a new avenue for epigenetic biomarkers. However, the widespread application of cfDNA liquid biopsy has many challenges, including biomarker sensitivity, specificity, logistics including infrastructure and personnel, data processing, handling, results interpretation, accessibility, and cost effectiveness. Exploring and translating epigenetics in cfDNA liquid biopsy technology can transform our understanding and perception of cancer prevention and management. cfDNA liquid biopsy has great potential in precision oncology to revolutionize conventional ways of early cancer detection, monitoring residual disease, treatment response, surveillance, and drug development. Adapting the implementation of liquid biopsy workflow to the local policy worldwide and developing point-of-care testing holds great potential to overcome global cancer disparity and improve cancer outcomes.
Chemopreventive Agents from Nature: A Review of Apigenin, Rosmarinic Acid, and Thymoquinone
Authors: Abutayeh Reem Fawaz , Altah Maram , Mehdawi Amani , Al-Ataby Israa , Ardakani Adel
Published: June 2024

Cancer, a major challenge to global health and healthcare systems, requires the study of alternative and supportive treatments due to the limitations of conventional therapies. This review examines the chemopreventive potential of three natural compounds: rosmarinic acid, apigenin, and thymoquinone. Derived from various plants, these compounds have demonstrated promising chemopreventive properties in in vitro, in vivo, and in silico studies. Specifically, they have been shown to inhibit cancer cell growth, induce apoptosis, and modulate key signaling pathways involved in cancer progression. The aim of this review is to provide a comprehensive overview of the current research on these phytochemicals, elucidating their mechanisms of action, therapeutic efficacy, and potential as adjuncts to traditional cancer therapies. This information serves as a valuable resource for researchers and healthcare providers interested in expanding their knowledge within the field of alternative cancer therapies.
Genome-Wide Identification and Expression Analysis of BrBASS Genes in Brassica rapa Reveals Their Potential Roles in Abiotic Stress Tolerance
Authors: Ji Zhaojing , Wang Ruolan , Zhang Meiqi , Chen Luhan , Wang Yuexin , Hui Jiyun , Hao Shiya , Lv Bingcan , Jiang Qiwei , Cao Yunyun
Published: June 2024

The bile acid sodium symporter (BASS) family plays an important role in transporting substances and coordinating plants’ salt tolerance. However, the function of BASS in Brassica rapa has not yet been elucidated. In this study, eight BrBASS genes distributed on five chromosomes were identified that belonged to four subfamilies. Expression profile analysis showed that BrBASS7 was highly expressed in roots, whereas BrBASS4 was highly expressed in flowers. The promoter element analysis also identified several typical homeopathic elements involved in abiotic stress tolerance and stress-related hormonal responses. Notably, under salt stress, the expression of BrBASS2 was significantly upregulated; under osmotic stress, that of BrBASS4 increased and then decreased; and under cold stress, that of BrBASS7 generally declined. The protein–protein interaction analysis revealed that the BrBASS2 homologous gene AtBASS2 interacted with Nhd1 (N-mediated heading date-1) to alleviate salt stress in plants, while the BrBASS4 homologous gene AtBASS3 interacted with BLOS1 (biogenesis of lysosome-related organelles complex 1 subunit 1) via co-regulation with SNX1 (sorting nexin 1) to mitigate an unfavorable growing environment for roots. Further, Bra-miR396 (Bra-microRNA396) targeting BrBASS4 and BrBASS7 played a role in the plant response to osmotic and cold stress conditions, respectively. This research demonstrates that BrBASS2, BrBASS4, and BrBASS7 harbor great potential for regulating abiotic stresses. The findings will help advance the study of the functions of the BrBASS gene family.
Nuck Canal Endometriosis Following IVF Attempts in a Young Patient—Report of a Case
Authors: Papadoliopoulou Maria , Margaris Ioannis , Giannakis Athanasios , Samaras Menelaos G. , Michalopoulos Nikolaos V. , Kokoropoulos Panayiotis , Panayiotides Ioannis , Arkadopoulos Nikolaos
Published: June 2024

Introduction: Endometriosis is a common benign condition affecting 10–15% of women of reproductive age. An unusual site of endometriosis is the canal of Nuck, which is a physiologically obliterated space in women spanning the area from the deep inguinal ring to the labia majora. Case presentation: A 37-year-old woman, with a past medical history of several in vitro fertilization attempts, presented with a right-sided painful inguinal mass. She was subsequently offered surgical exploration and excision of the lesion, which revealed the presence of endometrial glands and stroma. Discussion: Despite being a relatively common and benign pelvic condition, endometriosis can rarely manifest in the inguinal region, within the canal of Nuck. The treating physician should be cognizant of Nuck canal endometriosis, especially in young female patients presenting with an irreducible mass in the inguinal region and associated cyclic pain or infertility. Conclusion: When clinically and radiologically suspected, surgical excision is indicated to establish the diagnosis, provide symptomatic relief and guide further decision making.
Correction: Bach et al. Protection and Rehabilitation Effects of Cordyceps militaris Fruit Body Extract and Possible Roles of Cordycepin and Adenosine. Compounds 2022, 2, 388–403
Authors: Bach Mai Xuan , Minh Truong Ngoc , Anh Dao Thi Ngoc , Anh Ho Ngoc , Anh Le Viet , Trung Nguyen Quang , Minh Bui Quang , Xuan Tran Dang
Published: June 2024

The author would like to make the following corrections to the original publication [...]
Ocular Ischemic Events and Vision Loss Associated with COVID-19 Acute Hypoxic Respiratory Failure
Authors: Blyden K’Mani K. , Fashina Tolulope , Randleman Casey , Pearce William , Wells Jill , Yeh Steven , Shantha Jessica G.
Published: June 2024

Coronavirus disease 2019 (COVID-19) is associated with increased risk of microvascular complications; however, reports of ophthalmic manifestations associated with retinal vascular occlusion associated with COVID-19 are limited. In this report, we describe two middle-aged female patients who were admitted for acute hypoxic respiratory failure secondary to COVID-19-induced pneumonia. Following prolonged intensive care unit admission requiring mechanical ventilation and critical care interventions, both patients reported substantially reduced vision upon regaining consciousness. Dilated funduscopic exam showed multiple blot hemorrhages in all quadrants of the posterior pole, bilateral retinal hemorrhage, macular edema, and retinal vascular tortuosity. Both patients were diagnosed with retinal ischemic events owing to bilateral ophthalmic artery occlusion in the first patient, and bilateral central retinal vein occlusion (CRVO) in the second individual. While uncommon, retinal microvascular complications associated with COVID-19 leading to vision loss require prompt evaluation and referral given their potential long-term impact following acute illness.
“I Am Actually Scared of Everyone”: Older Adults’ Experiences of Social Isolation during COVID-19: A Qualitative Systematic Review
Authors: Akinlotan Oladapo , Jalo Aishatu
Published: June 2024

The emergence of the coronavirus COVID-19 in December 2019 in Wuhan, China, affected all facets of people’s lives worldwide. As a result of the severity of the pandemic, governments worldwide adopted several policies and containment measures, such as social isolation, especially for vulnerable populations, including older adults. This study aimed to explore these older adults’ experiences of social isolation during COVID-19. A systematic review method based on the PRISMA protocol was used, and five databases (EMBASE, PsycINFO, PsycEXTRA, CINAHL, and Medline) were comprehensively searched. Studies were limited to those published between 2020 and 2023. Thirteen qualitative studies met the inclusion criteria and were analysed thematically. A thematic analysis identified the following five major themes: intense feeling of loneliness due to social isolation; use of social media as a coping mechanism during social isolation; anxiety during social isolation; fear during social isolation; and financial security during social isolation. This review provides useful information on how to mitigate the effects of social isolation on the elderly population during future public health crises.
The Value of Genetic Improvement Evaluated Using a Whole of Enterprise Market Model
Authors: Lopez-Villalobos Nicolas , Wiles Peter , Udy Garry
Published: June 2024

The net return from milk to the producers is defined as the aggregate market income from dairy products, after deducting all processing and marketing costs. The way to distribute this net return is through the payment system, which is usually based on multiple components, mainly with a reward for fat and protein and, in the case of the New Zealand dairy industry, a penalty for milk volume. Traditionally, the value of genetic improvement is evaluated using selection index theory assuming that there is an unlimited market where all dairy products can be sold in unlimited amounts at a fixed price and therefore economic values for fat and protein are assumed to be independent of demand. The objective of this study was to estimate the value of continuous genetic improvement evaluated using a model encompassing all the dairy producers in the industry where prices of the dairy products were determined by product specific supply-demand curves. Over 10 years of genetic improvement, the present value of the benefit (10% discount rate) was estimated to be $123,000 per farm. The corresponding benefit when the markets were assumed to have fixed commodity prices was $183,000 per farm. The model revealed that systematic genetic gains had a finite duration during which incremental benefits progressively declined and would be exhausted eventually.
Tuning Data Mining Models to Predict Secondary School Academic Performance
Authors: Hoyos William , Caicedo-Castro Isaac
Published: June 2024

In recent years, educational data mining has emerged as a growing discipline focused on developing models for predicting academic performance. The primary objective of this research was to tune classification models to predict academic performance in secondary school. The dataset employed for this study encompassed information from 19,545 high school students. We used descriptive statistics to characterise information contained in personal, school, and socioeconomic variables. We implemented two data mining techniques, namely artificial neural networks (ANN) and support vector machines (SVM). Parameter optimisation was conducted through five–fold cross–validation, and model performance was assessed using accuracy and F1–Score. The results indicate a functional dependence between predictor variables and academic performance. The algorithms demonstrated an average performance exceeding 80% accuracy. Notably, ANN outperformed SVM in the dataset analysed. This type of methodology could help educational institutions to predict academic underachievement and thus generate strategies to improve students’ academic performance.
A Point Cloud Dataset of Vehicles Passing through a Toll Station for Use in Training Classification Algorithms
Authors: Campo-Ramírez Alexander , Caicedo-Bravo Eduardo F. , Bacca-Cortes Eval B.
Published: June 2024

This work presents a point cloud dataset of vehicles passing through a toll station in Colombia to be used to train artificial vision and computational intelligence algorithms. This article details the process of creating the dataset, covering initial data acquisition, range information preprocessing, point cloud validation, and vehicle labeling. Additionally, a detailed description of the structure and content of the dataset is provided, along with some potential applications of its use. The dataset consists of 36,026 total objects divided into 6 classes: 31,432 cars, campers, vans and 2-axle trucks with a single tire on the rear axle, 452 minibuses with a single tire on the rear axle, 1158 buses, 1179 2-axle small trucks, 797 2-axle large trucks, and 1008 trucks with 3 or more axles. The point clouds were captured using a LiDAR sensor and Doppler effect speed sensors. The dataset can be used to train and evaluate algorithms for range data processing, vehicle classification, vehicle counting, and traffic flow analysis. The dataset can also be used to develop new applications for intelligent transportation systems.
Cross-Sectional Area and Echogenicity Reference Values for Sonography of Peripheral Nerves in the Lithuanian Population
Authors: Grusauskiene Evelina , Smigelskyte Agne , Qerama Erisela , Rastenyte Daiva
Published: June 2024

Objectives: We aimed to provide data of nerve sizes and echogenicity reference values of the Lithuanian population. Methods: High-resolution ultrasound was bilaterally performed according to the Ultrasound Pattern Sum Score and Neuropathy ultrasound protocols for healthy Lithuanian adults. Cross-sectional area (CSA) measurement and echogenicity were used as the main parameters for investigation. Echogenicity was evaluated using ImageJ, and nerves were categorized in classes according to echogenicity. Results: Of 125 subjects enrolled, 63 were males (mean age 47.57 years, range 25–78 years) and 62 were females (mean age 50.50 years, range 25–80 years). Reference values of nerve sizes and values of echogenicity as a fraction of black in percentage of cervical roots, upper and middle trunks of the brachial plexus and the following nerves: vagal, median, ulnar, radial, superficial radial, tibial, fibular, and sural in standard regions were established. Mild to moderate correlations were found between nerves CSA, echogenicity values and anthropometric measurements with the differences according to sex. Inter-rater (ICC 0.93; 95% CI 0.92–0.94) and intra-rater (ICC 0.94; 95% CI 0.93–0.95) reliability was excellent. Conclusions: Reference values of nerve size and echogenicity of Lithuanians were presented for the first time as a novel such kind of publication from the Baltic countries.
Strategies for Increasing Accessibility and Equity in Health and Human Service Educational Programs: Protocol for a National, Mixed Methods Study
Authors: Jarus Tal , Stephens Lindsay , Edelist Tracey , Katzman Erika , Holmes Cheryl , Kamenetsky Stuart , Epstein Iris , Zaman Shahbano
Published: June 2024

Introduction: Despite legislation mandating accommodation policies in higher education, support for learners with disabilities is often not implemented within health and human services (HHS) education programs, particularly in fieldwork settings. This paper will describe the protocol of a study aimed to (a) explore challenges and opportunities of current practices for supporting learners living with disabilities in a fieldwork context, across 10 HHS programs; and (b) develop, pilot and evaluate innovative accessibility practices to decrease existing barriers faced by educators and learners. Method: Using a critical disability studies framework, we designed a national, multi-profession, mixed methods design. Data are collected through interviews (qualitative) and an online survey (quantitative) that participants complete prior to the interview. Additionally, an online mapping diary is used to facilitate the understanding of accessibility in fieldwork education from the perspective of the learners. Participants include learners living with disabilities, academic fieldwork coordinators, fieldwork educators, accessibility advisors and professional organizations representatives. Implications: Learners living with disabilities navigate systemic barriers: (a) the additional “work of being a disabled learner”, during a rigorous academic program, and (b) absent or inadequate fieldwork accommodations. Exploring those systemic barriers as faced by all partners offers the potential to develop strategies and tools to foster inclusive and accessible HHS education.
Optimising Scar Management Intervention in the Case of a Head-and-Neck Burn for a Patient with a Learning Disability
Authors: Spooner Katie , Pilley Matthew , Rose Liz , Frost Stephen , Agarwal Reena
Published: June 2024

Scars following burns can often prove complex to manage, particularly when crossing joints or special areas such as the head and neck, due to contractures. This case report discusses the individualised care and rehabilitation provided to a burn patient with a learning disability. The patient suffered both full and partial thickness burns equating to a total body surface area (%TBSA) of 7% of the face, neck, and anterior chest via the self-ignition of clothing. Acute treatment was provided at a regional burn unit followed by further in-patient care and rehabilitation at our burn facility. A motion rehabilitation instrument was employed to manage potential orofacial contracture; however, due to the patient’s impaired social functioning, this device was found to be unsuitable. Subsequently, a bespoke mouth-opening device replicating an ice lolly was fabricated utilising computer-aided design (CAD), enhancing the patient’s understanding along with encouraging independence. Microstomia was a risk in this case; however, this was prevented via the discussed regime, and successful patient rehabilitation was achieved.
What We Don’t Know Really Will Hurt Us: Examining Trauma Awareness Knowledge, Strategies, and Training in Ireland’s Early Childhood Education and Care Profession
Authors: Sheehan Catherine , Butler Judith E. , O’Neill Cian
Published: June 2024

Childhood trauma can exert a negative influence in the lives of young children. Yet, while Early Childhood Education and Care (ECEC) professionals are perfectly positioned to support children exposed to such trauma, extant research reports a scarcity of bespoke trauma awareness training for the ECEC profession. The aim of the current study served to explore the trauma awareness knowledge, strategies, and training of the ECEC profession in the Republic of Ireland. A comprehensive survey instrument, comprising 45 items across 5 Thematic Domains related to trauma knowledge and training, was disseminated to ECEC professionals nationwide. With a response rate of 1053 participants, key findings revealed (i) a fragmented understanding of what constitutes childhood trauma, and (ii) a significant association between lower levels of educational attainment and trauma education (Initial Practitioner Education, p = 0.000; Continuous Professional Development, p = 0.039). Further, 95% of participants called for context-specific, trauma awareness training, substantiating the voracious appetite for this crucial cog in the ECEC learning continuum, and thus reflecting the need for urgent reform to address and support the complexities of childhood trauma in ECEC discourse.
Exploring the Golden Ratio in Nature by Using a STEAM Approach: A Diagnostic and Quasi-Experimental Study at a Senior University
Authors: Teles Nuno , Ribeiro Tiago , Vasconcelos Clara
Published: June 2024

This research addresses the social exclusion of elderly citizens in terms of lifelong education via an interdisciplinary STEAM (science, technology, engineering, arts, and mathematics) approach. Technological literacy among older people is a critical factor in social exclusion. This study seeks to provide senior citizens with competencies in scientific, artistic, mathematical, and technological domains by enhancing scientific and technological literacy. The research developed a series of non-formal education sessions on the golden ratio using a STEAM educational approach. A quantitative methodology approach was carried out by using a diagnostic survey of the participants’ conceptions and a subsequent quasi-experimental study to evaluate the impact of the intervention. This study, conducted with 37 senior citizens (n = 37), found positive results aligning with the existing literature on the potential of the STEAM approach. The STEAM approach proved to be engaging for seniors, offering a holistic and interdisciplinary educational experience. Despite the limited availability of science educational programs for seniors and the scarcity of studies on lifelong learning using the STEAM approach, this research highlights the need for such initiatives, especially given the growing senior population. Applying STEAM education shows promise in enhancing scientific literacy and motivation among adult learners. By integrating mathematical concepts, such as the golden ratio, with practical applications in arts and natural sciences, STEAM education can provide a rich, motivating, and accessible learning experience, promoting active and healthy ageing through lifelong learning. Further research and development in this area could maximise educational benefits for the senior population.
Comparative Study of Adversarial Defenses: Adversarial Training and Regularization in Vision Transformers and CNNs
Authors: Dingeto Hiskias , Kim Juntae
Published: June 2024

Transformer-based models are driving a significant revolution in the field of machine learning at the moment. Among these innovations, vision transformers (ViTs) stand out for their application of transformer architectures to vision-related tasks. By demonstrating performance as good, if not better, than traditional convolutional neural networks (CNNs), ViTs have managed to capture considerable interest in the field. This study focuses on the resilience of ViTs and CNNs in the face of adversarial attacks. Such attacks, which introduce noise into the input of machine learning models to produce incorrect outputs, pose significant challenges to the reliability of machine learning models. Our analysis evaluated the adversarial robustness of CNNs and ViTs by using regularization techniques and adversarial training methods. Adversarial training, in particular, represents a traditional approach to boosting defenses against these attacks. Despite its prominent use, our findings reveal that regularization techniques enable vision transformers and, in most cases, CNNs to enhance adversarial defenses more effectively. Through testing datasets like CIFAR-10 and CIFAR-100, we demonstrate that vision transformers, especially when combined with effective regularization strategies, demonstrate adversarial robustness, even without adversarial training. Two main inferences can be drawn from our findings. Firstly, it emphasizes how effectively vision transformers could strengthen artificial intelligence defenses against adversarial attacks. Secondly, it shows how regularization, which requires much fewer computational resources and covers a wide range of adversarial attacks, can be effective for adversarial defenses. Understanding and improving a model’s resilience to adversarial attacks is crucial for developing secure, dependable systems that can handle the complexity of real-world applications as artificial intelligence and machine learning technologies advance.