bluuebunny/crossref_metadata_2025 huggingface dataset:
Growth Factor Delivery Using a Collagen Membrane for Bone Tissue Regeneration
Authors: Takayama Tadahiro , Imamura Kentaro , Yamano Seiichi
Published: May 2023

The use of biomaterials and bioactive agents has shown promise in bone defect repair, leading to the development of strategies for bone regeneration. Various artificial membranes, especially collagen membranes (CMs) that are widely used for periodontal therapy and provide an extracellular matrix-simulating environment, play a significant role in promoting bone regeneration. In addition, numerous growth factors (GFs) have been used as clinical applications in regenerative therapy. However, it has been established that the unregulated administration of these factors may not work to their full regenerative potential and could also trigger unfavorable side effects. The utilization of these factors in clinical settings is still restricted due to the lack of effective delivery systems and biomaterial carriers. Hence, considering the efficiency of bone regeneration, both spaces maintained using CMs and GFs can synergistically create successful outcomes in bone tissue engineering. Therefore, recent studies have demonstrated a significant interest in the potential of combining CMs and GFs to effectively promote bone repair. This approach holds great promise and has become a focal point in our research. The purpose of this review is to highlight the role of CMs containing GFs in the regeneration of bone tissue, and to discuss their use in preclinical animal models of regeneration. Additionally, the review addresses potential concerns and suggests future research directions for growth factor therapy in the field of regenerative science.
Morphologic Findings in the Cerebral Cortex in COVID-19: Association of Microglial Changes with Clinical and Demographic Variables
Authors: Babkina Anastasiya S. , Yadgarov Mikhail Ya. , Lyubomudrov Maxim A. , Ostrova Irina V. , Volkov Alexey V. , Kuzovlev Artem N. , Grechko Andrey V. , Golubev Arkady M.
Published: May 2023

Despite the enormous interest in COVID-19, there is no clear understanding of the mechanisms underlying the neurological symptoms in COVID-19. Microglia have been hypothesized to be a potential mediator of the neurological manifestations associated with COVID-19. In most existing studies to date, morphological changes in internal organs, including the brain, are considered in isolation from clinical data and defined as a consequence of COVID-19. We performed histological immunohistochemical (IHC) studies of brain autopsy materials of 18 patients who had died from COVID-19. We evaluated the relationship of microglial changes with the clinical and demographic characteristics of the patients. The results revealed neuronal alterations and circulatory disturbances. We found an inverse correlation between the integral density Iba-1 (microglia/macrophage-specific marker) IHC staining and the duration of the disease (R = −0.81, p = 0.001), which may indicate a reduced activity of microglia and do not exclude their damage in the long-term course of COVID-19. The integral density of Iba-1 IHC staining was not associated with other clinical and demographic factors. We observed a significantly higher number of microglial cells in close contact with neurons in female patients, which confirms gender differences in the course of the disease, indicating the need to study the disease from the standpoint of personalized medicine.
Torque Teno Virus Load Predicts Opportunistic Infections after Kidney Transplantation but Is Not Associated with Maintenance Immunosuppression Exposure
Authors: Cañamero Lucía , Benito-Hernández Adalberto , González Elena , Escagedo Clara , Rodríguez-Vidriales María , García-Saiz María del Mar , Valero Rosalía , Belmar Lara , de Cos María Angeles , Francia María Victoria , Ruiz Juan Carlos , Rodrigo Emilio
Published: May 2023

Measuring the non-pathogenic Torque Teno Virus (TTV) load allows assessing the net immunosuppressive state after kidney transplantation (KTx). Currently, it is not known how exposure to maintenance immunosuppression affects TTV load. We hypothesized that TTV load is associated with the exposure to mycophenolic acid (MPA) and tacrolimus. We performed a prospective study including 54 consecutive KTx. Blood TTV load was measured by an in-house PCR at months 1 and 3. Together with doses and trough blood levels of tacrolimus and MPA, we calculated the coefficient of variability (CV), time in therapeutic range (TTR) and concentration/dose ratio (C/D) of tacrolimus, and the MPA-area under the curve (AUC-MPA) at the third month. TTV load at the first and third month discriminated those patients at risk of developing opportunistic infections between months 1 and 3 (AUC-ROC 0.723, 95%CI 0.559–0.905, p = 0.023) and between months 3 and 6 (AUC-ROC 0.778, 95%CI 0.599–0.957, p = 0.028), respectively, but not those at risk of acute rejection. TTV load did not relate to mean tacrolimus blood level, CV, TTR, C/D and AUC-MPA. To conclude, although TTV is a useful marker of net immunosuppressive status after KTx, it is not related to exposure to maintenance immunosuppression.
Building an Effective Classifier for Phishing Web Pages Detection: A Quantum-Inspired Biomimetic Paradigm Suitable for Big Data Analytics of Cyber Attacks
Authors: Darwish Saad M. , Farhan Dheyauldeen A. , Elzoghabi Adel A.
Published: May 2023

To combat malicious domains, which serve as a key platform for a wide range of attacks, domain name service (DNS) data provide rich traces of Internet activities and are a powerful resource. This paper presents new research that proposes a model for finding malicious domains by passively analyzing DNS data. The proposed model builds a real-time, accurate, middleweight, and fast classifier by combining a genetic algorithm for selecting DNS data features with a two-step quantum ant colony optimization (QABC) algorithm for classification. The modified two-step QABC classifier uses K-means instead of random initialization to place food sources. In order to overcome ABCs poor exploitation abilities and its convergence speed, this paper utilizes the metaheuristic QABC algorithm for global optimization problems inspired by quantum physics concepts. The use of the Hadoop framework and a hybrid machine learning approach (K-mean and QABC) to deal with the large size of uniform resource locator (URL) data is one of the main contributions of this paper. The major point is that blacklists, heavyweight classifiers (those that use more features), and lightweight classifiers (those that use fewer features and consume the features from the browser) may all be improved with the use of the suggested machine learning method. The results showed that the suggested model could work with more than 96.6% accuracy for more than 10 million query–answer pairs.
Effect of Spontaneous Subarachnoid Hemorrhage on Cerebrospinal Fluid Indicators
Authors: You Huichao , Li Wenqi , Chen Qianxue
Published: May 2023

The cerebrospinal fluid (CSF) analysis in ruptured aneurysms can be greatly affected by subarachnoid hemorrhage (SAH), making the diagnosis of intracranial infection more difficult after surgery. This study aimed to identify the reference value range of CSF in the pathological state following spontaneous SAH. A retrospective analysis of demographic and CSF data of all spontaneous SAH patients treated between January 2018 and January 2023 was conducted. A total of 101 valid CSF specimen data were collected for analysis. Our results indicate that in 95% of patients after spontaneous SAH, the leukocyte count in CSF was less than 880 × 106/L. Additionally, the proportion of neutrophils, lymphocytes, and monocytes did not exceed 75%, 75%, and 15%, respectively, in 95% of the population. Furthermore, in 95% of the specimens, the concentration of chloride, glucose, and protein was >115 mmol/L, >2.2 mmol/L, and <2.3 g/L, respectively. Compared to the normal reference values, the CSF indexes after spontaneous SAH showed significant changes, especially in the leukocyte count, chloride concentration, and glucose concentration. Using “white blood cell count < 880/mm3, glucose > 2.2 mmol/L, chloride > 115” as the reference values for SAH pathological status is more meaningful for reference purposes.
‘Drawing out the Whole Picture’: Positive and Gestalt Effects of Taking Sign-Based Notes on Listening Performance in Chinese ESL Classrooms
Authors: Yang Minmin , McAllister Gretchen
Published: May 2023

The effort to design a most ideal strategy for L2 learners to take notes in L2 (EFL/EMI/EAP) classrooms has received growing attention. However, note-taking has been repeatedly tested and reported diverging impacts on students’ learning. This study investigates the effects of sign-based note-taking (SBN) with the traditional way of using pens and paper, and it features the cognitive processes of understanding and creating notes. SBN guides students to comprehend and draw a gestalt of notes using signs (i.e., icons, indices, and symbols). In a 16-week mixed study, three types of interventions—a traditional treatment, TOEFL’s ‘good-note guidance’ (GNG), and SBN—were administered to three separate student groups, namely a control group (CG) and two experiment groups (EG1 and EG2). Pre-, post-, delayed tests, questionnaires, and post-intervention interviews were conducted and analyzed for the needs and the effects of interventions on listening performances. Findings are as follows: only EG2 achieved significantly higher performance regardless of instructor’s influence, proving gestalt-based SBN an effective cognitive practice; GNG improved performance over time; students favored SBN, wanting longer-duration guidance. These results confirm that gestalt strengthens memory for L2 listening and yields pedagogical implications for L2 Listening classrooms.
Fiber Reinforced Polymer (FRP) Confined Circular Concrete Columns: An Experimental Overview
Authors: Valasaki Maria K. , Papakonstantinou Christos G.
Published: May 2023

Fiber-reinforced polymers (FRPs) are widely used as composite materials in civil engineering applications to rehabilitate or strengthen reinforced-concrete structural elements. The purpose of this study was to compile an extensive and up-to-date experimental database based on the compressive tests conducted on circular confined concrete structural elements using FRP composite materials. Strict criteria were implemented during the collection of the experimental data to minimize uncertainty and maximize uniformity. In order to compare the results, the collected data were divided into two categories based on the type of confinement, namely FRP wrapped and FRP tube encased. A detailed database of 1470 experimental test results on FRP-confined concrete cylindrical specimens demonstrated the specimens’ geometry, the jacketing materials’ physical and mechanical properties, and the effect of the confinement on the axial compressive strength and strain. The analysis of the database led to important observations on the parameters that influence FRP-confined concrete’s behavior. The unconfined concrete strength seems to be inversely related to the confinement efficiency. The confinement efficiency is quite limited in high-strength concrete specimens. Carbon fibers tend to provide greater confinement effectiveness, while the FRP axial rigidity was found to contribute significantly to the effect of confinement. Glass and aramid fibers seem to perform equally well, regardless of the confinement method. An interesting finding is that while FRP-wrapped specimens perform similarly to tube-encased specimens in terms of increases in compressive strength, the latter are associated with larger increases in ultimate axial strains.
Boosting Construction Project Timeline: The Case of Critical Chain Project Management (CCPM)
Authors: Anastasiu Livia , Câmpian Cristina , Roman Nicoleta
Published: May 2023

Critical Chain Project Management (CCPM) has emerged as a notable approach in recent years for improving time management in construction projects. This methodology focuses on optimizing project schedules, and its impact on construction projects has been explored through a review of literature from the past five years. However, a theoretical understanding alone may not be sufficient for promoting the adoption of CCPM in the sector. Therefore, an experimental study was conducted to assess the practical impact of CCPM on shortening the timeline of a construction project. The study involved the use of CPM for the planning phase and CCPM for the execution phase of finishing works (drywalls, carpentry, painting) in three identical blocks of flats. At the completion of the project, an important economy of 36 days (around 20%) was achieved, and the project was completed in 151 days using CCPM compared to the planned 187 days using CPM. The research was limited to finishing works, and further studies are planned to explore the applicability of CCPM to other construction works. It is imperative to establish a continuous collaboration between researchers and practitioners in the construction industry, as research findings should be effectively applied in real-world scenarios.
RadWise: A Rank-Based Hybrid Feature Weighting and Selection Method for Proteomic Categorization of Chemoirradiation in Patients with Glioblastoma
Authors: Tasci Erdal , Jagasia Sarisha , Zhuge Ying , Sproull Mary , Cooley Zgela Theresa , Mackey Megan , Camphausen Kevin , Krauze Andra Valentina
Published: May 2023

Glioblastomas (GBM) are rapidly growing, aggressive, nearly uniformly fatal, and the most common primary type of brain cancer. They exhibit significant heterogeneity and resistance to treatment, limiting the ability to analyze dynamic biological behavior that drives response and resistance, which are central to advancing outcomes in glioblastoma. Analysis of the proteome aimed at signal change over time provides a potential opportunity for non-invasive classification and examination of the response to treatment by identifying protein biomarkers associated with interventions. However, data acquired using large proteomic panels must be more intuitively interpretable, requiring computational analysis to identify trends. Machine learning is increasingly employed, however, it requires feature selection which has a critical and considerable effect on machine learning problems when applied to large-scale data to reduce the number of parameters, improve generalization, and find essential predictors. In this study, using 7k proteomic data generated from the analysis of serum obtained from 82 patients with GBM pre- and post-completion of concurrent chemoirradiation (CRT), we aimed to select the most discriminative proteomic features that define proteomic alteration that is the result of administering CRT. Thus, we present a novel rank-based feature weighting method (RadWise) to identify relevant proteomic parameters using two popular feature selection methods, least absolute shrinkage and selection operator (LASSO) and the minimum redundancy maximum relevance (mRMR). The computational results show that the proposed method yields outstanding results with very few selected proteomic features, with higher accuracy rate performance than methods that do not employ a feature selection process. While the computational method identified several proteomic signals identical to the clinical intuitive (heuristic approach), several heuristically identified proteomic signals were not selected while other novel proteomic biomarkers not selected with the heuristic approach that carry biological prognostic relevance in GBM only emerged with the novel method. The computational results show that the proposed method yields promising results, reducing 7k proteomic data to 7 selected proteomic features with a performance value of 93.921%, comparing favorably with techniques that do not employ feature selection.
Early Intervention with a Compression Sleeve in Mild Breast Cancer-Related Arm Lymphedema: A 12-Month Prospective Observational Study
Authors: Johansson Karin , Blom Katarina , Nilsson-Wikmar Lena , Brogårdh Christina
Published: May 2023

Background: In our previous randomized controlled trial (RCT), the progression/no progression of mild breast cancer-related arm lymphedema (BCRL) was examined among women randomized to a compression group (CG) with a compression sleeve (compression class (ccl) 1) or not (NCG) for 6 months. In the present prospective study, BCRL in the CG and NCG was followed for 12 months. Methods: At the end of the RCT, 33 women with mild BCRL were eligible in the CG and 37 in the NCG. The proportional differences in no progression/progression of BCRL were defined as a >2% increase from start of RCT or exceeding 10% in the lymphedema relative volume as measured by the water displacement method. In addition, changes in the lymphedema relative volume and tissue dielectric constant ratio, which measures local tissue water, were examined. At the end of the RCT (i.e., after 6 months), a one-month break of the compression treatment was made in the CG. If the lymphedema relative volume progressed by definition, the compression treatment was resumed and continued, with follow-up of all women at 9 and 12 months. Results: A larger proportion of women in the NCG showed progression (57%, 61%, 67%) compared to the CG (16%, 22%, 31%) at 6, 9, and 12 months (p < 0.001, 0.005, 0.012), respectively. Twelve (33%) women in the NCG did not progress at all. No changes of the lymphedema relative volume and local tissue water were found over time at any follow-ups, but were stable on a low level. Conclusions: To avoid the progression of mild BCRL into a chronic issue in the long-term, compression sleeve ccl 1 may be applied immediately after early diagnosis of mild BCRL.
Assessment of Variabilities in Lung-Contouring Methods on CBCT Preclinical Radiomics Outputs
Authors: Brown Kathryn H. , Illyuk Jacob , Ghita Mihaela , Walls Gerard M. , McGarry Conor K. , Butterworth Karl T.
Published: May 2023

Radiomics image analysis has the potential to uncover disease characteristics for the development of predictive signatures and personalised radiotherapy treatment. Inter-observer and inter-software delineation variabilities are known to have downstream effects on radiomics features, reducing the reliability of the analysis. The purpose of this study was to investigate the impact of these variabilities on radiomics outputs from preclinical cone-beam computed tomography (CBCT) scans. Inter-observer variabilities were assessed using manual and semi-automated contours of mouse lungs (n = 16). Inter-software variabilities were determined between two tools (3D Slicer and ITK-SNAP). The contours were compared using Dice similarity coefficient (DSC) scores and the 95th percentile of the Hausdorff distance (HD95p) metrics. The good reliability of the radiomics outputs was defined using intraclass correlation coefficients (ICC) and their 95% confidence intervals. The median DSC scores were high (0.82–0.94), and the HD95p metrics were within the submillimetre range for all comparisons. the shape and NGTDM features were impacted the most. Manual contours had the most reliable features (73%), followed by semi-automated (66%) and inter-software (51%) variabilities. From a total of 842 features, 314 robust features overlapped across all contouring methodologies. In addition, our results have a 70% overlap with features identified from clinical inter-observer studies.
Tissue Classification of Breast Cancer by Hyperspectral Unmixing
Authors: Jong Lynn-Jade S. , Post Anouk L. , Veluponnar Dinusha , Geldof Freija , Sterenborg Henricus J. C. M. , Ruers Theo J. M. , Dashtbozorg Behdad
Published: May 2023

(1) Background: Assessing the resection margins during breast-conserving surgery is an important clinical need to minimize the risk of recurrent breast cancer. However, currently there is no technique that can provide real-time feedback to aid surgeons in the margin assessment. Hyperspectral imaging has the potential to overcome this problem. To classify resection margins with this technique, a tissue discrimination model should be developed, which requires a dataset with accurate ground-truth labels. However, establishing such a dataset for resection specimens is difficult. (2) Methods: In this study, we therefore propose a novel approach based on hyperspectral unmixing to determine which pixels within hyperspectral images should be assigned to the ground-truth labels from histopathology. Subsequently, we use this hyperspectral-unmixing-based approach to develop a tissue discrimination model on the presence of tumor tissue within the resection margins of ex vivo breast lumpectomy specimens. (3) Results: In total, 372 measured locations were included on the lumpectomy resection surface of 189 patients. We achieved a sensitivity of 0.94, specificity of 0.85, accuracy of 0.87, Matthew’s correlation coefficient of 0.71, and area under the curve of 0.92. (4) Conclusion: Using this hyperspectral-unmixing-based approach, we demonstrated that the measured locations with hyperspectral imaging on the resection surface of lumpectomy specimens could be classified with excellent performance.
Synthesis of New Chromene Derivatives Targeting Triple-Negative Breast Cancer Cells
Authors: Alneyadi Aysha , Nizami Zohra Nausheen , Aburawi Hanan E. , Hisaindee Soleiman , Nawaz Muhammad , Attoub Samir , Ramadan Gaber , Benhalilou Nehla , Al Azzani Mazoun , Elmahi Yassine , Almeqbali Aysha , Muhammed Khalid , Eid Ali H. , Vijayan Ranjit , Iratni Rabah
Published: May 2023

Breast cancer continues to be the leading cause of cancer-related deaths among women worldwide. The most aggressive type of breast cancer is triple-negative breast cancer (TNBC). Indeed, not only does TNBC not respond well to several chemotherapeutic agents, but it also frequently develops resistance to various anti-cancer drugs, including taxane mitotic inhibitors. This necessitates the search for newer, more efficacious drugs. In this study, we synthesized two novel chromene derivatives (C1 and C2) and tested their efficacy against a battery of luminal type A and TNBC cell lines. Our results show that C1 and C2 significantly and specifically inhibited TNBC cell viability but had no effect on the luminal A cell type. In addition, these novel compounds induced mitotic arrest, cell multinucleation leading to senescence, and apoptotic cell death through the activation of the extrinsic pathway. We also showed that the underlying mechanisms for these actions of C1 and C2 involved inhibition of microtubule polymerization and disruption of the F-actin cytoskeleton. Furthermore, both compounds significantly attenuated migration of TNBC cells and inhibited angiogenesis in vitro. Finally, we performed an in silico analysis, which revealed that these novel variants bind to the colchicine binding site in β-tubulin. Taken together, our data highlight the potential chemotherapeutic properties of two novel chromene compounds against TNBC.
Reply to Jue, J.S.; Alameddine, M. Role of PSA Density and MRI in PSA Interpretation. Comment on “Lumbreras et al. Variables Associated with False-Positive PSA Results: A Cohort Study with Real-World Data. Cancers 2023, 15, 261”
Authors: Lumbreras Blanca , Parker Lucy Anne , Caballero-Romeu Juan Pablo , Gómez-Pérez Luis , Puig-García Marta , López-Garrigós Maite , García Nuria , Hernández-Aguado Ildefonso
Published: May 2023

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Circulating and Endometrial Tissue microRNA Markers Associated with Endometrial Cancer Diagnosis, Prognosis, and Response to Treatment
Authors: Oropeza-de Lara Sergio Antonio , Garza-Veloz Idalia , Berthaud-González Bertha , Martinez-Fierro Margarita L.
Published: May 2023

In developed countries, endometrial cancer (EC) is one of the most common neoplasms of the female reproductive system. MicroRNAs (miRs) are a class of single-stranded noncoding RNA molecules with lengths of 19–25 nucleotides that bind to target messenger RNA (mRNA) to regulate post-transcriptional gene expression. Although there is a large amount of research focused on identifying miRs with a diagnostic, prognostic, or response to treatment capacity in EC, these studies differ in terms of experimental methodology, types of samples used, selection criteria, and results obtained. Hence, there is a large amount of heterogeneous information that makes it difficult to identify potential miR biomarkers. We aimed to summarize the current knowledge on miRs that have been shown to be the most suitable potential markers for EC. We searched PubMed and Google Scholar without date restrictions or filters. We described 138 miRs with potential diagnostic, prognostic, or treatment response potential in EC. Seven diagnostic panels showed higher sensitivity and specificity for the diagnosis of EC than individual miRs. We further identified miRs up- or downregulated depending on the FIGO stage, precursor lesions, and staging after surgery, which provides insight into which miRs are expressed chronologically depending on the disease stage and/or that are modulated depending on the tumor grade based on histopathological evaluation.
Physician Views on the Provision of Information on Immune Checkpoint Inhibitor Therapy to Patients with Cancer and Pre-Existing Autoimmune Disease: A Qualitative Study
Authors: Lopez-Olivo Maria A. , Duhon Gabrielle F. , Ruiz Juan I. , Altan Mehmet , Tawbi Hussein , Diab Adi , Bingham Clifton O. , Calabrese Cassandra , Heredia Natalia I. , Volk Robert J. , Suarez-Almazor Maria E.
Published: May 2023

Immune checkpoint inhibitors (ICIs) have improved cancer outcomes but can cause severe immune-related adverse events (irAEs) and flares of autoimmune conditions in cancer patients with pre-existing autoimmune disease. The objective of this study was to identify the information physicians perceived as most useful for these patients when discussing treatment initiation with ICIs. Twenty physicians at a cancer institution with experience in the treatment of irAEs were interviewed. Qualitative thematic analysis was performed to organize and interpret data. The physicians were 11 medical oncologists and 9 non-oncology specialists. The following themes were identified: (1) current methods used by physicians to provide information to patients and delivery options; (2) factors to make decisions about whether or not to start ICIs in patients who have cancer and pre-existing autoimmune conditions; (3) learning points for patients to understand; (4) preferences for the delivery of ICI information; and (5) barriers to the implementation of ICI information in clinics. Regarding points to discuss with patients, physicians agreed that the benefits of ICIs, the probability of irAEs, and risks of underlying autoimmune condition flares with the use of ICIs were most important. Non-oncologists were additionally concerned about how ICIs affect the autoimmune disease (e.g., impact on disease activity, need for changes in medications for the autoimmune disease, and monitoring of autoimmune conditions).
New Strategies for the Treatment of Older Myeloma Patients
Authors: Larocca Alessandra , Cani Lorenzo , Bertuglia Giuseppe , Bruno Benedetto , Bringhen Sara
Published: May 2023

Multiple myeloma (MM) mostly affects older patients, who represent a highly heterogeneous population. In the last few years, the introduction of novel agents led to a significant improvement in the outcome of MM patients. Nonetheless, this positive trend is less likely to occur in all older patients due to comorbidities/disabilities and major susceptibility to toxic events. Furthermore, older patients with major comorbidities are usually excluded or underrepresented in most registrational clinical trials. In this context, physicians have called for greater caution in the management of the disease. Several scores allow for the identification of frail and unfit patients and establish the possibility of tailoring therapy, reducing toxicity. This review explores the available tools for the assessment of frailty and what has been done to improve the discriminative power of the available scores. Thereafter, it describes the main therapeutic strategies for the management of transplant-ineligible (NTE) newly diagnosed (ND) MM patients and relapsed/refractory (RR) MM patients, in order to better guide physicians in choosing treatment options and to suggest possible strategies for more frail patients.
Effects of Simulated Microgravity In Vitro on Human Metaphase II Oocytes: An Electron Microscopy-Based Study
Authors: Miglietta Selenia , Cristiano Loredana , Espinola Maria Salomé B. , Masiello Maria Grazia , Micara Giulietta , Battaglione Ezio , Linari Antonella , Palmerini Maria Grazia , Familiari Giuseppe , Aragona Cesare , Bizzarri Mariano , Macchiarelli Guido , Nottola Stefania A.
Published: May 2023

The Gravity Force to which living beings are subjected on Earth rules the functionality of most biological processes in many tissues. It has been reported that a situation of Microgravity (such as that occurring in space) causes negative effects on living beings. Astronauts returning from space shuttle missions or from the International Space Station have been diagnosed with various health problems, such as bone demineralization, muscle atrophy, cardiovascular deconditioning, and vestibular and sensory imbalance, including impaired visual acuity, altered metabolic and nutritional status, and immune system dysregulation. Microgravity has profound effects also on reproductive functions. Female astronauts, in fact, suppress their cycles during space travels, and effects at the cellular level in the early embryo development and on female gamete maturation have also been observed. The opportunities to use space flights to study the effects of gravity variations are limited because of the high costs and lack of repeatability of the experiments. For these reasons, the use of microgravity simulators for studying, at the cellular level, the effects, such as those, obtained during/after a spatial trip, are developed to confirm that these models can be used in the study of body responses under conditions different from those found in a unitary Gravity environment (1 g). In view of this, this study aimed to investigate in vitro the effects of simulated microgravity on the ultrastructural features of human metaphase II oocytes using a Random Positioning Machine (RPM). We demonstrated for the first time, by Transmission Electron Microscopy analysis, that microgravity might compromise oocyte quality by affecting not only the localization of mitochondria and cortical granules due to a possible alteration of the cytoskeleton but also the function of mitochondria and endoplasmic reticulum since in RPM oocytes we observed a switch in the morphology of smooth endoplasmic reticulum (SER) and associated mitochondria from mitochondria-SER aggregates to mitochondria–vesicle complexes. We concluded that microgravity might negatively affect oocyte quality by interfering in vitro with the normal sequence of morphodynamic events essential for acquiring and maintaining a proper competence to fertilization in human oocytes.
Detection of Water Vapor by Chemiluminescence
Authors: Shimada Toshihiro , Nishimoto Honami , Hayakawa Hikaru , Ichikawa Hisashi , Nakacho Yoshifumi
Published: May 2023

We examined the possibility of detecting water vapor by chemiluminescence using the reaction of popular “chemical light” (bis(2,4,5-trichlorophenyl-6-carbopentoxyphenyl)oxalate with H2O2). H2O2 is released from sodium percarbonate exposed to water molecules as in the oxygen bleach. The release of H2O2 by water vapor was confirmed by mass spectrometry in a vacuum. The chemiluminescence from the mixed reagents was observed when exposed to water vapor. This method opens the way to locally detect the faulty points of water barrier films and observe the real-time failure of the barrier films during bending tests of flexible packing materials. A molecular dynamics simulation was performed to study the diffusion of H2O2 molecules in polymers.
Thrombectomy of an Acute Ischemic Stroke in a Child with COVID-19 and MIS-C: Case Analysis and Literature Context
Authors: Carney Paul R. , Stevenson Dakota W. , Riggs Edith , Dervisevic Matilda , Carney Constanza X. , Gomez Camilo R.
Published: May 2023

We describe a very young child who developed an acute ischemic stroke from a LAO, while affected by COVID-19 and MIS-C, and whom we treated successfully with thrombectomy. We compare his clinical and imaging findings with those of the existing case reports, and we explore the multifactorial nature of such a neurovascular complication, particularly in the context of the most recent publications regarding the multifactorial endothelial derangements produced by the illness.
Enhancing Climate Neutrality and Resilience through Coordinated Climate Action: Review of the Synergies between Mitigation and Adaptation Actions
Authors: Kyriakopoulos Grigorios L. , Sebos Ioannis
Published: May 2023

Recently, reported long-term climate change consequences, such as rising temperatures and melting glaciers, have emphasized mitigation and adaptation actions. While moderating the severity of climate changes, precautionary human actions can also protect the natural environment and human societies. Furthermore, public and private collaboration can leverage resources and expertise, resulting in more impactful mitigation and adaptation actions for effective climate change responses. A coordinated and strategic approach is necessary in order to prioritize these actions across different scales, enabling us to maximize the benefits of climate action and ensure a coordinated response to this global challenge. This study examines the interplay between climate mitigation and adaptation actions in Greece and the European Union (EU). We conducted a literature search using relevant keywords. The search results were systematically approached in alignment with two pairs of thematic homologous entities, enabling the review of these literature findings to be organized and holistically investigated. In this respect, the three fields of agriculture, energy, and multi-parametric determinants of climate neutrality have emerged and been discussed. Our analysis also focused on the key implemented and planned mitigation and adaptation climate actions. Through this review, we identified the most important motives and challenges related to joint adaptation and mitigation actions. Our findings underscore the need for a comprehensive approach to climate action planning that incorporates both adaptation and mitigation measures.
Fluorescent Light Energy (FLE) Generated through Red LED Light and a Natural Photoconverter Gel as a New, Non-Invasive Approach for Facial Age Control: A Pilot Study
Authors: Scarcella Giuseppe , Tardugno Roberta , Crupi Pasquale , Muraglia Marilena , Clodoveo Maria Lisa , Corbo Filomena
Published: May 2023

This study, for the first time, evaluated the safety and efficacy of a new natural-based topical gel containing a spirulina extract. This photoconverter gel generates fluorescent light energy (FLE) via a red LED light device, which is proven to be effective for age control of facial skin. This was a one-centre, observational, uncontrolled pilot trial. Eight healthy female subjects aged 35 to 65 years old, with Fitzpatrick skin types II–V were recruited. The duration of the study was five treatment sessions of one treatment every seven days, with a final follow-up at one month after the last treatment session. The images and the related data were acquired with the SONY® Mod. DSCRX10M3, the Canfield VISIA Facial Imaging System®, and QUANTIFICARE 3D® analysis. Patient compliance was excellent (100%) and the treatment was described as warm and pleasant by the patients. After 30 days, VISIA parameters such as wrinkles, texture, red areas, and Trueskin Age® had improved. The safety and efficacy of the FLE treatment assessed in this trial were achieved for overall rejuvenation of facial skin, focusing on wrinkles evaluated via the specific VISIA algorithms.
Composition Dependence Structural and Optical Properties of Silicon Germanium (SiχGe1−χ) Thin Films
Authors: Nasir Syafiqa , Chee Fuei Pien , Ghosh Bablu Kumar , Rumaling Muhammad Izzuddin , Rasmidi Rosfayanti , Duinong Mivolil , Juhim Floressy
Published: May 2023

This study investigates the structural and optical characteristics of Silicon Germanium (SiGe) thin films with varying compositions and annealing temperatures for potential use in electronic and optoelectronic devices. Si0.8Ge0.2 and Si0.9Ge0.1 films were deposited onto a high-temperature quartz substrate and annealed at 600 °C, 700 °C, and 800 °C before being evaluated using an X-Ray Diffractometer (XRD), Atomic Force Microscopy (AFM), and a UV-Vis Spectrometer for structural and optical properties. The results show that increasing the annealing temperature results in an increase in crystalline size for both compositions. The transmittance for Si0.8Ge0.2 decreases slightly with increasing temperature, while Si0.9Ge0.1 remains constant. The optical band gap for Si0.9Ge0.1 thin film is 5.43 eV at 800 °C, while Si0.8Ge0.2 thin film is 5.6 eV at the same annealing temperature. XRD data and surface analysis reveal significant differences between the band edges of SiGe nano-structure materials and bulk crystals. However, the possibility of a SiGe nano-crystal large band gap requires further investigation based on our study and related research works.
An Unconventional Regimen of Carboplatin and Paclitaxel in Metastatic Colorectal Carcinosarcoma: A Case Report and Review of Literature
Authors: Park Changsu Lawrence , Rajadurai Charles Vincent , Ton Nu Tuyet Nhung , Mandilaras Victoria
Published: May 2023

Colorectal carcinosarcoma is an exceedingly rare subtype of colorectal cancer that displays the histological and molecular features of both mesenchymal and epithelial tumors. Due to its rarity, there are no guidelines regarding the systemic treatment of this disease. This report describes a case of a 76-year-old woman with colorectal carcinosarcoma with extensive metastatic burden treated with carboplatin and paclitaxel. After four cycles of chemotherapy, the patient had an excellent clinical and radiographical response to treatment. To the best of our knowledge, this is the first report addressing the use of carboplatin and paclitaxel in this disease. We reviewed seven published case reports of metastatic colorectal carcinosarcoma where various systemic treatments were offered. Remarkably, there are no previously published reports where even a partial response was noted, which underscores the aggressiveness of this disease. While further studies are required to validate our experience and assess long-term outcomes, this case suggests an alternative treatment regimen for metastatic colorectal carcinosarcoma.
New Concepts for the Diagnosis of Polypoidal Choroidal Vasculopathy
Authors: Zhao Jinzhi , Chandrasekaran Priya R , Cheong Kai Xiong , Wong Mark , Teo Kelvin
Published: May 2023

Polypoidal choroidal vasculopathy (PCV) is a subtype of neovascular age-related macular degeneration (nAMD) that is characterized by a branching neovascular network and polypoidal lesions. It is important to differentiate PCV from typical nAMD as there are differences in treatment response between subtypes. Indocyanine green angiography (ICGA) is the gold standard for diagnosing PCV; however, ICGA is an invasive detection method and impractical for extensive use for regular long-term monitoring. In addition, access to ICGA may be limited in some settings. The purpose of this review is to summarize the utilization of multimodal imaging modalities (color fundus photography, optical coherence tomography (OCT), OCT angiography (OCTA), and fundus autofluorescence (FAF)) in differentiating PCV from typical nAMD and predicting disease activity and prognosis. In particular, OCT shows tremendous potential in diagnosing PCV. Characteristics such as subretinal pigment epithelium (RPE) ring-like lesion, en face OCT-complex RPE elevation, and sharp-peaked pigment epithelial detachment provide high sensitivity and specificity for differentiating PCV from nAMD. With the use of more practical, non-ICGA imaging modalities, the diagnosis of PCV can be more easily made and treatment tailored as necessary for optimal outcomes.
Assessing Anti-Adipogenic Effects of Mango Leaf Tea and Mangiferin within Cultured Adipocytes
Authors: Zarasvand Sepideh Alasvand , Haley-Zitlin Vivian , Oladosu Olanrewaju , Esobi Ikechukwu , Powell Rhonda Reigers , Bruce Terri , Stamatikos Alexis
Published: May 2023

Obesity is a condition caused by surplus adipose tissue and is a risk factor for several diet-related diseases. Obesity is a global epidemic that has also been challenging to treat effectively. However, one promoted therapy to safely treat obesity is anti-adipogenic therapeutics. Therefore, identifying potent anti-adipogenic bioactive compounds that can safely be used clinically may effectively treat obesity in humans. Mango leaf has potential medicinal properties due to its many bioactive compounds that may enhance human health. Mangiferin (MGF) is a primary constituent in mango plants, with many health-promoting qualities. Therefore, this study investigated the effect of MGF, and tea brewed with mango leaves in cultured adipocytes. The anti-adipogenic efficacy of mango leaf tea (MLT) and MGF in 3T3-L1 cells were assessed, along with cell viability, triglyceride levels, adiponectin secretion, and glucose uptake analyzed. In addition, changes in the mRNA expression of genes involved in lipid metabolism within 3T3-L1 cells were determined using quantitative real-time PCR. Our results showed while both MLT and MGF increased glucose uptake in adipocytes, only MLT appeared to inhibit adipogenesis, as determined by decreased triglyceride accumulation. We also observed increased secretory adiponectin levels, reduced ACC mRNA expression, and increased FOXO1 and ATGL gene expression in 3T3-L1 cells treated with MLT but not MGF. Together, these results suggest that MLT may exhibit anti-adipogenic properties independent of MGF content.
The Effect of Third Molars on the Mandibular Anterior Crowding Relapse—A Systematic Review
Authors: Lyros Ioannis , Vasoglou Georgios , Lykogeorgos Theodoros , Tsolakis Ioannis A. , Maroulakos Michael P. , Fora Eleni , Tsolakis Apostolos I.
Published: May 2023

The present systematic review updates the evidence on wisdom teeth contributing to lower incisor crowding following orthodontic treatment. Relevant literature was searched on online databases, namely Pubmed, Scopus, and Web of Science, up to December 2022. Eligibility criteria were formulated using the PICOS approach and PRISMA guidelines. Eligible research included original clinical studies involving patients previously being treated orthodontically with permanent dentition at the end of treatment, regardless of sex or age. The initial search yielded 605 citations. After considering eligibility criteria and removing duplicates, only 10 articles met the criteria for inclusion. The risk of bias of eligible studies was evaluated using the Cochrane Handbook for Systematic Reviews and Interventions tool. The majority were highly biased, mainly regarding allocation concealment, group similarity, and assessment blinding. The vast majority did not report statistically significant associations between the presence of third molars and crowding relapse. However, a minor effect has been suggested. Seemingly, there is no clear connection between mandibular third molars and incisor crowding after orthodontic treatment. The present review did not find adequate evidence to advocate preventative removal of the third molars for reasons of occlusal stability.
Multifractal Properties of Time Series of Synthetic Earthquakes Obtained from a Spring-Block Model
Authors: Aguilar-Molina Ana M. , Muñoz-Diosdado Alejandro , Martínez Alfredo Salinas , Angulo-Brown Fernando
Published: May 2023

With the spring-block model proposed by Olami, Feder, and Christensen (OFC), we obtained a time series of synthetic earthquakes with different values of the conservation level (β), which measures the fraction of the energy that a relaxing block passes to its neighbors. The time series have multifractal characteristics, and we analyzed them with the Chhabra and Jensen method. We calculated the width, symmetry, and curvature parameters for each spectrum. As the value of conservation level increases, the spectra widen, the symmetric parameter increases, and the curvature around the maximum of the spectra decreases. In a long series of synthetic seismicity, we located earthquakes of the greatest magnitude and built overlapping windows before and after them. For the time series in each window, we performed multifractal analysis to obtain multifractal spectra. We also calculated the width, symmetry, and curvature around the maximum of the multifractal spectrum. We followed the evolution of these parameters before and after large earthquakes. We found that the multifractal spectra had greater widths, were less skewed to the left, and were very pointed around the maximum before rather than after large earthquakes. We studied and calculated the same parameters and found the same results in the analysis of the Southern California seismicity catalog. This suggests that there seems to be a process of preparation for a great earthquake and that its dynamics are different from the one that occurs after this mainshock based on the behavior of the parameters mentioned before.
Novel Rotated Virtual Synchronous Generator Control for Power-Sharing in Microgrids with Complex Line Impedance
Authors: Campo-Ossa Daniel D. , Sanabria-Torres Enrique A. , Vasquez-Plaza Jesus D. , Rodriguez-Martinez Omar F. , Garzon-Rivera Oscar D. , Andrade Fabio
Published: May 2023

Virtual synchronous generator (VSG) control is based on the fact that the line impedance in a microgrid is highly inductive. This assumption was made due to the emulation of the stator winding of an electrical machine. This concept can affect the controllability of a microgrid with complex line impedance, generating deviations in the chosen operation point. To overcome this issue, additional techniques must be implemented. This paper describes a novel mathematical approach that uses the power line characteristics in a microgrid to rotate the power control reference frame and proposes a new control method called a “Rotated Virtual Synchronous Generator” (RVSG). This RVSG control approach integrates the effect of complex impedance on the microgrid’s operation and adjusts the reference frame accordingly to improve the system’s stability and performance. The use of this proposed mathematical approach in microgrids allows the further emulation of virtual inertia in microgrids that lack inertia. Finally, a comparison between RVSG control and the classical virtual synchronous generator method is carried out to show that it allows the improvement of the transient power response, power quality, stability, and performance, mainly in microgrids with complex line impedance.