bluuebunny/crossref_metadata_2025 huggingface dataset:
Crack Development and Electrical Degradation in Chromium Thin Films Under Tensile Stress on PET Substrates
Authors: Alkhazali Atif , Hamasha Sa’d , Hamasha Mohammad M. , Khaled Haitham , Massadeh Raghad
Published: November 2024

The mechanical and electrical deterioration of chromium (Cr) thin films sputtered onto polyethylene terephthalate (PET) substrates under tensile strain was studied. Understanding mechanical and electrical stability due to imposed strain is particularly important for device reliability, as the demand for flexible electronic devices increases. Cr thin films, widely spread across the field of electronic and sensor applications, face crack propagation with electrical degradation with tensile stress that can seriously compromise the performance. Accordingly, this study offers new findings on how Cr film thickness might influence crack formation and electrical resistance differently and also the general guidelines for flexible electronic component design with respect to long-term durability. Electrical resistances were measured while mechanically stretching 100- and 200 nm thin sheets. The study focused on crack development and propagation mechanisms in both film thicknesses and their effects on percentage change in electrical resistance (PCER). Scanning electronic microscopy (SEM) was used to characterize surface morphology and observe cracks as the strain rose. Early crack formation in 100 nm Cr films led to rapid PCER increases due to quick crack propagation and fast electrical degradation. Thicker 200 nm films, however, showed a more gradual PCER rise with fewer but deeper cracks, indicating a regulated strain response. Unlike the sharp PCER spike in 100 nm films, 200 nm samples were more variable, with three out of four showing a slight PCER decrease at the end, hinting at partial crack repair or conductive realignment before full failure. These results underscore the role of layer thickness in managing crack propagation and electrical stability, relevant for flexible electronics and strain sensors. This paper is aligned with the ninth goal of the United Nations Sustainable Development Goals, specifically Target 9.5: Enhance Research and Upgrade Industrial Technologies.
Novel Anodic TiO2 Synthesis Method with Embedded Graphene Quantum Dots for Improved Photocatalytic Activity
Authors: Knoks Ainars , Grinberga Liga , Kleperis Janis
Published: November 2024

Photocatalytic degradation of pollutants have a high potential for sustainable and renewable uses. TiO2 is a widely studied photocatalyst due to its high chemical and photochemical stability and wide range of applications. However, the wide band gap and low capacity of photo-induced charge separation provide lower catalytic activity; thus, improvement of these properties must be found. The doping of TiO2 with other elements, such as carbon nanoparticles (CNP) in a quantum dot form, offers a promising pathway to improve the aforementioned properties. In addition, in situ doping methods should be investigated for practical scalability, as they offer the advantage of integrating dopants directly during material synthesis, ensuring a more uniform distribution and better interaction between the dopant and the host material, in turn leading to more consistent photocatalytic properties. Current technologies primarily involve nanoparticle combinations. This work focuses on the development of a novel in situ synthesis methodology by the introduction of three different graphene-based quantum nanodots into anodic TiO2 and the following investigation of structural, morphological, and photocatalytic properties. Results indicate that the introduction of CNP allows for the shift of a set of parameters, such as the optical band gap, increased photo-induced charge carrier density of TiO2/CNP composite, and, most importantly, the change of crystalline phase composition depending on added CNP material. Research indicates that not only a higher concentration of added CNP enhances higher photocatalytic activity as tested by the degradation of methylene blue dye, but also the type of CNP determines final crystalline phase. For the first time brookite and rutile phases were obtained in anodic titania synthesized in inorganic electrolyte by introducing hydrothermally treated exfoliated graphene.
Liposomes and Ethosomes: Comparative Potential in Enhancing Skin Permeability for Therapeutic and Cosmetic Applications
Authors: Musielak Ewelina , Krajka-Kuźniak Violetta
Published: November 2024

Skin diseases are a common health problem affecting millions of people worldwide. Effective treatment often depends on the precise delivery of drugs to the affected areas. One promising approach is currently the transdermal drug delivery system (TDDS), whose significant challenge is the poor penetration of many compounds into the skin due to the stratum corneum (SC), which acts as a formidable barrier. To overcome this limitation, nanocarriers have emerged as a highly effective alternative. This review discusses the use of liposomes and ethosomes for transdermal drug delivery. Liposomes are micro- or nanostructures consisting of a lipid bilayer surrounding an aqueous core. They facilitate transdermal drug penetration and may be advantageous for site-specific targeting. Some methods of treating skin diseases involve incorporating drugs such as acyclovir, dithranol, and tretinoin or bioactive compounds such as fluconazole, melanin, glycolic acid, kojic acid, and CoQ10 into nanocarriers. The inability of liposomes to pass through the narrowed intercellular channels of the stratum corneum led to the invention of lipid-based vesicular systems such as ethosomes. They are structurally similar to conventional liposomes, as they are prepared from phospholipids, but they contain a high ethanol concentration. Ethosomes are noninvasive carriers that allow drugs to reach the deep layers of the skin. Examples of commonly used substances and drugs combined with ethosomes in cosmetics include methotrexate, ascorbic acid, vitamin A and E, and colchicine. A significant development in this area is the use of rutin-loaded ethosomes. Encapsulating rutin in ethosomes significantly improves its stability and enhances skin penetration, allowing more efficient delivery to deeper skin layers. In cosmetics, rutin–ethosome formulations are used to protect the skin from oxidative stress, reduce redness, and improve capillary strength, making it a valuable formulation in anti-aging and anti-inflammatory products. The results of the first clinical trial of the acyclovir–ethosome formulation confirm that ethosomes require further investigation. The work provides an update on recent advances in pharmaceutical and cosmetic applications, mentioning the essential points of commercially available formulations, clinical trials, and patents in the recent past.
Empirical Analysis of Stability of An+1BnO3n+1 Ruddlesden–Popper Phases Using Reciprocal n-Values
Authors: Vereshchagin Sergei , Dudnikov Vyacheslav
Published: November 2024

Layered An+1BnO3n+1 (n = 1…∞) Ruddlesden–Popper (RP) phases are a promising system for a variety of applications. Within the RP family, the thermodynamic properties of the phases are essentially additive with variation in the n value, but at present, there are no general approaches that would allow one to evaluate the individual stability of the RP phases and the possibility of their interconversion. The aim of this paper is to present a novel concept for performing a thermodynamic analysis of RP phases using the reciprocal values of the index n. We present an empirical equation ΔG1/n = ΔGP + B1/n + B2/n2, where ΔG1/n and ΔGP are the molar Gibbs energies of formation of the Ruddlesden–Popper (RP) phase (AO)1/nABO3 and the parent ABO3 perovskite, respectively, and n is a stoichiometry index of An+1BnO3n+1 RP phase. The correlation was validated using available thermodynamic data for the systems Sr-Ti-O, Ca-Ti-O, Sr-Zr-O, La-Ni-O, and La-Co-O. For all A-B combinations, the equation quantitatively describes the Gibbs energy of RP phase formation. Predicted values for the non-linear approximation lie within the experimental uncertainty in determining ΔG1/n. The proposed correlation was used to analyze the relative stability of the RP phases and to determine the feasibility of synthesizing new compounds.
Crystallographic Orientation of Grains Formed in the Laser Melt-Pool of (CoCuFeZr)17Sm2 Anisotropic Permanent Magnets
Authors: Trauter Felix , Loeffler Ralf , Schneider Gerhard , Goll Dagmar
Published: November 2024

Textured microstructures and anisotropic properties are key factors for the optimization of magnetic materials. Only for high texture grades can the remanence Jr and the maximum energy product (BH)max be maximized. In additive manufacturing such as laser powder bed fusion (PBF-LB), methods to achieve texture have to be developed. In this work, anisotropic (CoCuFeZr)17Sm2 sintered magnets have been used as a substrate in experiments featuring single laser tracks to study the relationships between crystallographic orientation of the substrate grains and crystallographic orientation of grain growth in the melt-pool. The <0001> crystal direction (c-axis) of the substrate has been systematically varied with respect to the orientation of the laser scan track on the specimen surface. Crystallographic orientations of the melt-pool and the substrate have been analyzed using electron backscatter diffraction (EBSD). It is found that if the c-axis is oriented perpendicular to the temperature gradient in the melt-pool, grains grow with orientation similar to that of the substrate grain. If the c-axis and the temperature gradient are oriented in the same direction, the grains grow with high misorientation to the substrate. The highest anisotropy in the melt-pool is achieved when the substrate’s c-axis is oriented along the laser scan track. Under these conditions, 98.7% of the melt-pool area shows a misorientation <45° compared to the substrate orientation. The texture grade of the melt-pool area is comparable to that of the substrate magnet, at 91.8% and 92.2%, respectively.
Progress in the Applications of Photovoltaic Functional Crystals and Ceramics
Authors: Wang Linghang , Xu Gang
Published: November 2024

With the progression of mankind and the development of technology, great strides have been made regarding the application of inorganic crystalline materials in a number of fields such as high-energy and nuclear physics, environmental and safety inspection, the optoelectronics and communication fields, energy, and aerospace engineering, particularly the industrialization of photovoltaic and detector materials, which has brought mankind’s knowledge of natural disciplines to an all-time high [...]
Complex Coacervates: From Polyelectrolyte Solutions to Multifunctional Hydrogels for Bioinspired Crystallization
Authors: Gruber Dominik , Ruiz-Agudo Cristina , Rao Ashit , Pasler Simon , Cölfen Helmut , Sturm Elena V.
Published: November 2024

Hydrogels represent multifarious functional materials due to their diverse ranges of applicability and physicochemical properties. The complex coacervation of polyacrylate and calcium ions or polyamines with phosphates has been uncovered to be a fascinating approach to synthesizing of multifunctional physically crosslinked hydrogels. To obtain this wide range of properties, the synthesis pathway is of great importance. For this purpose, we investigated the entire mechanism of calcium/polyacrylate, as well as phosphate/polyamine coacervation, starting from early dynamic ion complexation by the polymers, through the determination of the phase boundary and droplet formation, up to the growth and formation of thermodynamically stable macroscopic coacervate hydrogels. By varying the synthesis procedure, injectable hydrogels, as well as plastic coacervates, are presented, which cover a viscosity range of three orders of magnitude. Furthermore, the high calcium content of the calcium/polyacrylate coacervate (~19 wt.%) enables the usage of those coacervates as an ions reservoir for the formation of amorphous and crystalline calcium-containing salts like calcium carbonates and calcium phosphates. The exceptional properties of the coacervates obtained here, such as thermodynamic stability, viscosity/plasticity, resistance to acids, and adhesive strength, combined with the straightforward synthesis and the character of an ions reservoir, open a promising field of bioinspired composite materials for osteology and dentistry.
Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI
Authors: Jensen Laura J. , Kim Damon , Elgeti Thomas , Steffen Ingo G. , Schaafs Lars-Arne , Haas Matthias , Kurz Lukas J. , Hamm Bernd , Nagel Sebastian N.
Published: November 2024

Prostate Imaging Reporting and Data System version 2.1 (PI-RADS) category 3 lesions are a challenge in the clinical workflow. A better detection of the infrequently occurring clinically significant prostate cancer (csPCa) in PI-RADS 3 lesions is an important objective. The purpose of this study was to evaluate if feature maps calculated from T2-weighted (T2w) 3 Tesla (3T) MRI can help detect csPCa in PI-RADS category 3 lesions. In-house biparametric 3T prostate MRI examinations acquired between January 2019 and June 2023 because of elevated prostate-specific antigen (PSA) levels were retrospectively screened. Inclusion criteria were a PI-RADS 3 lesion and available results of an ultrasound-guided targeted and systematic biopsy. Exclusion criteria were a simultaneous PI-RADS category 4 or 5 lesion and hip replacement. Target lesions with the International Society of Urological Pathology (ISUP) grade group 1 were rated clinically insignificant PCa (ciPCa) and ≥2 csPCa. This resulted in 52 patients being included in the final analysis, of whom 11 (21.1%), 8 (15.4%), and 33 (63.5%) patients had csPCa, ciPCa, and no PCa, respectively, with the latter two groups being combined as non-csPCa. Eight of the csPCas were located in the peripheral zone (PZ) and three in the transition zone (TZ). In the non-csPCa group, 29 were located in the PZ and 12 in the TZ. Target lesions were marked with volumes of interest (VOIs) on axial T2w images. Axial T2w images were then converted to 93 feature maps. VOIs were copied into the maps, and feature quantity was retrieved directly. Features were tested for significant differences with the Mann–Whitney U-test. Univariate models for single feature performance and bivariate models implementing PSA density (PSAD) were calculated. Ten map-derived features differed significantly between the csPCa and non-csPCa groups (AUCs: 0.70–0.84). The diagnostic performance for TZ lesions (AUC: 0.83–1.00) was superior to PZ lesions (AUC: 0.74–0.85). In the bivariate models, performance in the PZ improved with AUCs >0.90 throughout. Parametric feature maps alone and as bivariate models with PSAD can (?) noninvasively identify csPCa in PI-RADS 3 lesions and could serve as a quantitative tool reducing ambiguity in PI-RADS 3 lesions.
Prophylactic Swallowing Exercises in Patients with Laryngeal Cancer Who Underwent Total Laryngectomy—A Randomized Trial
Authors: Schipor-Diaconu Elena Teodora , Grigore Raluca , Bejenaru Paula Luiza , Simion-Antonie Catrinel Beatrice , Taher Bianca Petra , Rujan Simona Andreea , Cirstea Anca Ionela , Iftimie Raluca Andreea , Stancalie-Nedelcu Ruxandra Ioana
Published: November 2024

Objectives: This study aims to determine the efficacy of prophylactic swallowing exercises on swallowing function in patients undergoing total laryngectomy for laryngeal cancer. Methods: The design was a randomized controlled trial set in one tertiary care academic medical center. A total of 92 patients undergoing total laryngectomy for stages III and IV laryngeal cancer performed five targeted swallowing exercises for a period of three months after their surgery, starting two weeks after the surgery. Weekly swallowing therapy sessions were held with the patients in order to encourage adherence and proper technique. The controls received no preventive exercise and were referred for swallowing treatment following the surgery, as well as radiation therapy if necessary. The Functional Oral Intake Scale (FOIS) and the Performance Status Scale for Head and Neck Cancer Patients (PSS-H&N) were used to measure swallowing function at the baseline, one week following the surgery, and three, six, nine, and twelve months following the surgery. Results: Right after the surgery, there were no statistically significant variations between the intervention and control groups in the FOIS scores (p value = 0.64), the Eating in Public subscale scores (p value = 1) and Normalcy of Diet subscale scores (p = 0.33) of the PSS-H&N. The scores were significantly better among the intervention patients at months 3, 6, 9, and 12 for all the scores, with p values smaller than 0.000. Conclusions: Although not immediately following the surgery, the patients who engaged in prophylactic swallowing exercises showed improvements in their ability to swallow at 3, 6, 9, and 12 months following their procedure.
Malignant Pleural Effusion: Diagnosis and Treatment—Up-to-Date Perspective
Authors: Orlandi Riccardo , Cara Andrea , Cassina Enrico Mario , Degiovanni Sara , Libretti Lidia , Pirondini Emanuele , Raveglia Federico , Tuoro Antonio , Vaquer Sara , Rizzo Stefania , Petrella Francesco
Published: November 2024

Malignant pleural effusion is the presence of malignant cells within the pleural fluid, representing the second most common cause of pleural exudate. Although diagnostic methods and management techniques for malignant pleural effusion have dramatically improved over the decades, the current treatment is still palliative, aiming to remove pleural fluid, possibly prevent its recurrence, and alleviate symptoms through a wide range of available procedures. Treatment should be tailored to the individual patient, considering comorbidities, size of the effusion, rate of fluid accumulation, underlying cardiac or respiratory conditions, rate of recurrence, presence of loculations or trapped lung, tumor characteristics, cancer type, and patient preferences. This manuscript aims to review the available literature and to present the latest evidence on malignant pleural effusion management in order to provide an updated perspective on its diagnosis and treatment.
Species Diversity and Spatial Distribution of Some Oribatid Mites in Bory Tucholskie National Park (N Poland)
Authors: Niedbała Wojciech , Napierała Agnieszka , Wendzonka Jacek , Lubińska Karolina , Kulczak Marta , Błoszyk Jerzy
Published: November 2024

There are 23 national parks in Poland, and only a few of them have been studied thoroughly with regard to acarofauna so far. One of the least-examined areas in this regard is Bory Tucholskie National Park (BTNP), established in 1996. The aim of this research study was to explore the species diversity, community structure, and spatial distribution of mites from the order Oribatida: ptyctimous mites (Acari: Oribatida) and species from the families Nothridae and Camisiidae (Acari: Oribatida: Crotonioidea) inhabiting different forests open and unstable microhabitats in the area of Bory Tucholskie National Park (BTNP). In the case of ptyctimous mites, the communities were compared to those in other Polish national parks. Based on the analysis of 285 samples collected in BTNP between 2022 and 2024, 8 species of Crotonioidea with dominant Heminothrus peltifer (C. L. Koch, 1839) and 21 species of ptyctimous mites with the most numerous Atropacarus (Atropacarus) striculus (C. L. Koch, 1835) were identified in the analyzed material. The highest species diversity was observed in different types of pine forests (25 species) and in alder forests (24 species), while the lowest diversity occurred in areas with reeds (11 species). The comparison of the number of ptyctimous mites in Polish national parks revealed that BTNP can be ranked second in terms of species diversity among 12 national parks examined in Poland so far.
Non-Destructive Wood Analysis Dataset: Comparing X-Ray and Terahertz Imaging Techniques
Authors: Marc Caroline , Marcon Bertrand , Denaud Louis , Girardon Stéphane
Published: November 2024

Wood density measurement plays a crucial role in assessing wood quality and predicting its mechanical performance. This dataset was collected to compare the accuracy and reliability of two non-destructive techniques, X-rays and terahertz waves, for measuring wood density. While X-rays have been commonly used in the industry due to their effectiveness, they pose health risks due to ionizing radiation. Terahertz waves, on the other hand, are non-ionizing and offer high spatial resolution. This article presents a database of wood samples measurements obtained using both techniques, on the same 110 samples with a fine location of the measuring points, on a wide range of wood species (tropical and temperate ones) and densities, from 111 kg·m−3 to 1086 kg·m−3. The database includes X-ray and terahertz scans, sample dimensions, moisture content, and color photographs.
Exploration of Foundational Models for Blood Glucose Forecasting in Type-1 Diabetes Pediatric Patients
Authors: Rancati Simone , Bosoni Pietro , Schiaffini Riccardo , Deodati Annalisa , Mongini Paolo Alberto , Sacchi Lucia , Toffanin Chiara , Bellazzi Riccardo
Published: November 2024

Aims: The accurate prediction of blood glucose (BG) levels is critical for managing Type-1 Diabetes (T1D) in pediatric patients, where variability due to factors like physical activity and developmental changes presents significant challenges. Methods: This work explores the application of foundational models, particularly the encoder–decoder model TimeGPT, for BG forecasting in T1D pediatric patients. Methods: The performance of TimeGPT is compared against state-of-the-art models, including ARIMAX and LSTM, and multilayer perceptron (MLP) architectures such as TiDE and TSMixer. The models were evaluated using continuous glucose monitoring (CGM) data and exogenous variables, such as insulin intake. Results: TimeGPT outperforms or achieves comparable accuracy to the state of the art and MLP models in short-term predictions (15 and 30 min), with most predictions falling within the clinically safe zones of the Clarke Error Grid. Conclusions: The findings suggest that foundational models like TimeGPT offer promising generalization capabilities for medical applications and can serve as valuable tools to enhance diabetes management in pediatric T1D patients.
Age-Specific Seroprevalence of Hepatitis A Virus in Turkey Between 2000 and 2023: Systematic Review and Meta-Analysis
Authors: Ciftci Ihsan Hakki , Koroglu Mehmet , Demiray Tayfur , Terzi Huseyin Agah , Kahraman Kilbas Elmas Pinar
Published: November 2024

Background: Hepatitis A virus (HAV) is a leading cause of acute viral hepatitis and is primarily transmitted by the fecal–oral route. The clinical presentation and progression of the disease varies according to the age of the patient. Turkey is classified as a moderately endemic country, and HAV infection continues to be an important public health problem worldwide. Methods: In this study, a systematic meta-analysis was conducted to evaluate age-specific HAV seroprevalence rates in Turkey between 2000 and 2023. A comprehensive literature review identified 57 articles that met the inclusion criteria. The studies were assessed for quality, and seroprevalence rates were evaluated across four different age groups. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software (CMAVersion 3.0) and SPSS (SPSS Statistics 25.0). Results: HAV seroprevalence rates were found to be 73.18% in the 0 < 5 age group and 90.90% in the >35 age group. The overall seroprevalence estimated using a random effects model was 64.5% (95% CI: 58.3–70). High heterogeneity was observed among the studies, and the prevalence estimates changed when low-quality studies were excluded. Conclusions: This meta-analysis suggests that the increasing trend in HAV IgG seroprevalence in Turkey, especially among young populations, is likely due to the vaccination program initiated in 2012. Furthermore, the heterogeneity observed among regions highlights the importance of regional public health strategies. Future studies should focus on providing more detailed data to evaluate the long-term effects of vaccination and to explain regional differences in HAV seroprevalence.
Cisplatin-Induced Renal Failure Measured by Glomerular Filtration Rate (GFR) with 99mTc-DTPA Scans in Cancer Patients: A Systematic Review and Meta-Analysis
Authors: Alqahtani Mansour M.
Published: November 2024

Background: Cisplatin is a potent agent commonly used to treat cancer, but its effects pose a significant risk to renal function. Therefore, the present study aimed to evaluate the impact of cisplatin on renal function as measured by glomerular filtration rate (GFR) using diethyltriamine-penta-acetic acid (DTPA) renal scintigraphy. Methods: Extensive literature searches were performed using PRISMA guidelines that investigated cisplatin-induced renal failure by measuring GFR with DTPA. Eligible studies were included based on predefined criteria. Data on GFR, serum creatinine levels, and acute kidney injury (AKI) before and after cisplatin therapy were extracted and analyzed. A meta-analysis was performed utilizing RevMan 5.4 to determine the overall effect of cisplatin on GFR before and after treatment. For non-randomized controlled trials (RCTs), quality assessment was performed using the Newcastle–Ottawa Scale, while for RCT, the Cochrane risk of bias tool was utilized. Results: Initially, 1003 studies were searched from different databases, including ScienceDirect, PubMed, Scopus, Google Scholar, and The Cochrane Library, and after screening, 8 studies (PubMed, Scopus, and GoogleS cholar) with 489 patients were found eligible for inclusion in the present study. Cisplatin was administrated with varying doses ranging from 20 mg/m2 to 114.02 mg/m2. The findings underscore the nephrotoxic effects of cisplatin, a widely used chemotherapeutic agent, as demonstrated by the significant decline in GFR observed across multiple treatment cycles, and these findings were also supported by the findings of a meta-analysis that showed a significant (p < 0.01) difference between peri- and post-treatment GFR level with 37.06 (95% CI, 10.90–63.23) effect size and 96% heterogeneity. In addition, the included studies were found to be of high quality. Conclusions: Cisplatin significantly affects renal function, as evidenced by a decrease in GFR measured with DTPA. The findings underscore the importance of the routine monitoring of GFR to detect early renal injury and guide treatment modification. Future research should focus on strategies to reduce cisplatin-induced toxicity and explore alternative therapies with reduced renal risk.
Tenascin-C-Matrix Metalloproteinase-3 Phenotype and the Risk of Tendinopathy in High-Performance Athletes: A Case–Control Study
Authors: Lopes Lucas Rafael , Amaral Marcus Vinícius Galvão , Goes Rodrigo Araujo , Tavares Valéria , Dias Francisca , Medeiros Rui , Machado Daniel Escorsim , Perini Jamila Alessandra
Published: November 2024

Background/Objectives: Tendon structure is predominantly composed of the extracellular matrix (ECM), and genetic variants in non-collagenous ECM components may influence susceptibility to tendinopathy. We investigated the potential influence of single nucleotide polymorphisms (SNPs) in fibrillin-2 (FBN2), tenascin-C (TNC), and matrix metalloproteinase-3 (MMP3) on the tendon regeneration failure phenotype and impact on the susceptibility to tendinopathy in Brazilian high-performance athletes. Methods: This case–control study was conducted with 397 high-performance athletes from different sports modalities (197 tendinopathy cases and 200 controls), and they were analyzed by validated TaqManTM SNP genotyping assays of the SNPs FBN2 (rs331079), TNC (rs2104772), and MMP3 (rs591058). Results: Out of the 197 tendinopathy cases, 63% suffered from chronic tendon pain and 22% experienced more than three episodes of disease manifestation. The TNC-rs2104772-A allele was significantly associated with tendinopathy (OR: 1.4; 95% CI: 1.1–1.8), while athletes carrying the MMP3-rs591058-T allele were linked to an increased risk of more episodes of disease manifestation (OR: 1.7; 95% CI: 1.1–2.8). The TNC-MMP3 tendon regeneration failure phenotype (TNC-A/MMP3-T) was associated with an increased risk of tendinopathy (OR: 1.4; 95% CI: 1.1–2.0) and episodes of disease manifestation (OR: 2.0; 95% CI: 1.2–3.5). Athletes with tendinopathy who had the TNC-A/MMP3-T interaction were more prone to experiencing more than three disease exacerbations (OR: 4.3; 95% CI: 1.8–10.5) compared to TNC-A/TNC-C. Conclusions: This study suggests that rs2104772 and rs591058 SNPs could be involved in the tendon regeneration failure phenotype and may influence the molecular mechanism related to the regulation of the tendon ECM during training workload.
Fetus in the Abdominal Cavity After Uterine Rupture in a Primigravida Post-Adenomyosis Enucleation
Authors: Kamata Saki , Ando Hanano , Matsuda Erina , Aoki Aiko , Komatsu Atsushi , Kawana Kei
Published: November 2024

A 35-year-old primigravida with a history of adenomyosis enucleation was diagnosed with abnormal fetal position at 25 weeks of gestation. The patient presented with normal vital signs and no symptoms. A cardiotocogram and transabdominal ultrasound revealed a healthy fetus, normal amniotic fluid volume, and no intra-abdominal bleeding. Pelvic magnetic resonance imaging (MRI) indicated a ruptured muscular layer of the uterine fundus, with the fetus completely prolapsed into the abdominal cavity. An emergency cesarean section was performed, during which the fetus was found wrapped within the amniotic membrane in the abdominal cavity. The uterus exhibited extensive tearing along the line of the previous surgical scar; however, no hemorrhage was observed. In this case, despite uterine rupture, blood flow through the umbilical cord from the placenta in the uterus resulted in the survival of the fetus. In addition, MRI was essential in determining the appropriate timing to save the fetus.
Endometrial Atypical Hyperplasia and Risk of Endometrial Cancer
Authors: Chou An-Ju , Bing Ruo-Shi , Ding Dah-Ching
Published: November 2024

Endometrial atypical hyperplasia (EAH) is a premalignant condition with a substantial risk of progression to endometrial cancer (EC), with the endometrioid subtype being the most common. EAH is characterized by abnormal endometrial gland proliferation and cellular atypia, often resulting from prolonged unopposed estrogen exposure. This review aims to explore the clinical significance of EAH, its risk of progression to EC, and the current approaches to management. The risk of EAH progressing to EC ranges from 20 to 50%, influenced by factors such as histopathology and genetic mutations including PTEN and KRAS. Key risk factors include obesity, polycystic ovary syndrome, and postmenopausal status. Abnormal uterine bleeding is a hallmark symptom of EAH and early-stage EC, necessitating diagnostic evaluation through endometrial biopsy and transvaginal ultrasonography. Therapeutic management strategies depend on patient risk and fertility considerations. Hormonal therapy, particularly progestins, is the mainstay for fertility preservation, while hysterectomy is preferred for higher-risk patients. Regular monitoring with biopsies is essential for those undergoing conservative treatment. Recent advancements in the management of EAH and EC have shifted towards incorporation of molecular diagnostics and targeted therapies, enabling better risk stratification and individualized care. Biomarkers and minimally invasive surgical techniques are emerging as promising approaches in improving outcomes for women with EAH. This review underscores the importance of early diagnosis and personalized management in preventing the progression of EAH to EC, highlighting current clinical practices and potential future developments in this field.
Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies
Authors: Cè Maurizio , Chiriac Marius Dumitru , Cozzi Andrea , Macrì Laura , Rabaiotti Francesca Lucrezia , Irmici Giovanni , Fazzini Deborah , Carrafiello Gianpaolo , Cellina Michaela
Published: November 2024

Although radiomics research has experienced rapid growth in recent years, with numerous studies dedicated to the automated extraction of diagnostic and prognostic information from various imaging modalities, such as CT, PET, and MRI, only a small fraction of these findings has successfully transitioned into clinical practice. This gap is primarily due to the significant methodological challenges involved in radiomics research, which emphasize the need for a rigorous evaluation of study quality. While many technical aspects may lie outside the expertise of most radiologists, having a foundational knowledge is essential for evaluating the quality of radiomics workflows and contributing, together with data scientists, to the development of models with a real-world clinical impact. This review is designed for the new generation of radiologists, who may not have specialized training in machine learning or radiomics, but will inevitably play a role in this evolving field. The paper has two primary objectives: first, to provide a clear, systematic guide to radiomics study pipeline, including study design, image preprocessing, feature selection, model training and validation, and performance evaluation. Furthermore, given the critical importance of evaluating the robustness of radiomics studies, this review offers a step-by-step guide to the application of the METhodological RadiomICs Score (METRICS, 2024)—a newly proposed tool for assessing the quality of radiomics studies. This roadmap aims to support researchers and reviewers alike, regardless of their machine learning expertise, in utilizing this tool for effective study evaluation.
The Wellbeing Thermometer in Patients with Colorectal Cancer: A Validation Study
Authors: Adamou Marios , Uche-Ikonne Okezie , Kamposioras Konstantinos
Published: November 2024

Background: Wellbeing is a valuable outcome with benefits for patients and the wider healthcare system. Different instruments are available to measure wellbeing; however, each has its own limitations. Existing wellbeing models focus mostly on a single aspect (e.g., social). The Wellbeing Thermometer (WbT) was developed based on a more holistic framework for wellbeing. Objective: The aim of this research was to validate the WbT on patients receiving treatments using a sample of patients with colorectal cancer in England. Methods: A survey, including GAD-7, PHQ-9, WHO-5, and WbT, was administered to two independent cohorts of adult patients diagnosed with colorectal cancer. The WbT consists of 25 questions/items: 5 for each domain of health, thoughts, emotions, spiritual, and social. We investigated the psychometric properties of the WbT to characterize item difficulty, discrimination, and reliability. Pearson’s correlation coefficient was used to compare WbT scores to those from other validated tools. A multivariable logistic model explored associations between WbT domains and other validated tools. Results: Cronbach’s alpha for WbT was 0.872 (95% confidence interval: 0.829–0.902), indicating good internal consistency. The item difficulty for WbT showed low scores for questions 6 (0.39) and 9 (0.49) and high scores for the other items. Item 3 in the health subgroup indicated weak discrimination towards the health item score (r = 0.35) and no discrimination towards the total score (r = 0.03). Item 1 in the spiritual subgroup showed weak discrimination towards the spiritual item score (r = 0.37). The WbT showed moderate to strong correlation with all other validated tools (r range: GAD-7, −0.49 to −0.77; PHQ-9, −0.69 to −0.83; WHO-5, 0.66 to 0.85). For Cohort 1, the WbT thought domain was associated with GAD-7 (p = 0.004) and WHO-5 (p = 0.002), and the health domain was associated with PHQ-9 (p = 0.014). For Cohort 2, the WbT thought domain was associated with GAD-7 (p = 0.02), the health domain was associated with WHO-5 (p = 0.02), and the emotion domain was associated with WHO-5 (p = 0.02). Conclusions: The WbT is a valid tool for assessing wellbeing in patients with colorectal cancer. The WbT may be a useful addition to both clinical practice and future research and may help shed light on a new area with regards to patients with cancer, specifically how they feel and function. This will ultimately increase wellbeing and reduce suffering.
Symmetry in Signals: A New Insight
Authors: Girault Jean-Marc
Published: November 2024

Symmetry is a fundamental property of many natural systems, which is observable through signals. In most out-of-equilibrium complex dynamic systems, the observed signals are asymmetric. However, for certain operating modes, some systems have demonstrated a resurgence of symmetry in their signals. Research has naturally focused on examining time invariance to quantify this symmetry. Measures based on the statistical and harmonic properties of signals have been proposed, but most of them focused on harmonic distortion without explicitly measuring symmetry. This paper introduces a new mathematical framework based on group theory for analyzing signal symmetry beyond time invariance. It presents new indicators to evaluate different types of symmetry in non-stochastic symmetric signals. Both periodic and non-periodic symmetric signals are analyzed to formalize the problem. The study raises critical questions about the completeness of symmetry in signals and proposes a new classification for periodic and non-periodic signals that goes beyond the traditional classification based on Fourier coefficients. Furthermore, new measures such as “symmetrometry” and “distorsymmetry” are introduced to quantify symmetry. These measures outperform traditional indicators like Total Harmonic Distortion (THD) and provide a more accurate measurement of symmetry in complex signals from applications where duty cycle plays a major role.
Equilibrium Control in Uncertain Linear Quadratic Differential Games with V-Jumps and State Delays: A Case Study on Carbon Emission Reduction
Authors: Jia Zhifu
Published: November 2024

Uncertainty, time delays, and jumps often coexist in dynamic game problems due to the complexity of the environment. To address such issues, we can utilize uncertain delay differential equations with jumps to depict the dynamic changes in differential game problems that involve uncertain noise, delays, and jumps. In this paper, we first examine a linear quadratic differential game optimistic value problem within an uncertain environment characterized by jumps and delays. By applying the Z(x,y) transform, we convert the infinite-dimensional problem into a finite-dimensional one. We then demonstrate that the condition for the existence of a Nash equilibrium strategy is equivalent to the existence of solutions to two cross-coupled matrix Riccati equations. Furthermore, we explore the saddle point equilibrium strategy of the linear quadratic differential game optimistic value model and derive the corresponding saddle point equilibrium solution. Finally, we apply our results to solve a carbon emission reduction game problem.
Violation of Leggett–Garg Inequality in Perceiving Cup-like Objects and Cognitive Contextuality
Authors: Zhan Likan , Khrennikov Andrei , Zhu Yingce
Published: November 2024

This paper is devoted to an experimental investigation of cognitive contextuality inspired by quantum contextuality research. This contextuality is related to, but not identical to context-sensitivity which is well-studied in cognitive psychology and decision making. This paper is a part of quantum-like modeling, i.e., exploring the methodology of quantum theory outside of physics. We examined the bistable perception of cup-like objects, which strongly depends on experimental contexts. Our experimental data confirmed the existence of cognitive hysteresis, the important role of memory, and the non-commutative structure of cognitive observables. In physics, quantum contextuality is assessed using Bell-CHSH inequalities, and their violation is incorrectly believed to imply the nonlocality of Nature. The violation of Bell-type inequalities in cognitive and social science strongly indicates that the metaphysical implications of these inequalities are quite limited. In our experiments, modified Leggett–Garg inequalities were also significantly violated, but this only means that experimental data from experiments performed in different contexts cannot be modeled by a unique set of noncontextual, jointly distributed random variables. In our experiments, we know the empirical probability distributions measured in different contexts; thus, we can obtain much more detailed and reliable information about contextuality in human cognition by performing nonparametric compatibility tests.
Landslide Studies in the Context of Disaster Management in Bangladesh—A Systematic Literature Review
Authors: Hossain Tanvir , Tushar Mahmud Al Noor , Murshed Sanzida , Basak Utsav , Islam Md. Ashraful
Published: November 2024

Landslides and their resulting impacts on property and human life have become an ongoing challenge in the hilly regions of Bangladesh. This study aims to systematically review diverse landslide studies in Bangladesh, particularly focusing on landslide disaster management (LDM) from 2008 to 2023, encompassing the pre-disaster, syn-disaster, and post-disaster phases. Several key attributes of landslide studies were considered, including general trends, data types, study scales, contributing factors, methodologies, results, and validation approaches, to investigate challenges and subsequently identify research gaps. This study evaluated 51 research articles on LDM using a systematic literature review (SLR) technique that adhered to the Preferred Reporting Item for Systematic Reviews and Meta-Analyses (PRISMA) framework. Our finding revealed that articles on LDM were dominated by the pre-disaster (76%) and the syn-disaster phases (12%), with the post-disaster phase (12%) receiving equal attention. The SLR revealed a growing number of studies since 2020 that used data-driven methods and secondary spatial data, often focused on medium-scale analyses (district level) that, however, often lacked field-based validation. From the factors examined in various landslide studies, topographical and hydrological factors were found to be the most significant attributes in assessment. This study identified key challenges, such as insufficient landslide inventories including poor site accessibility and a lack of high-resolution geological, soil, and rainfall data. It also highlighted critical research gaps, including the need for advanced technologies in susceptibility mapping for national hazard atlas, the investigation of underexplored causative factors, effective early warning systems, detailed post-event characterization, health impact assessment, risk-sensitive land use planning, and interactive web portals for landslide prone areas. This study would thus aid researchers in understanding the depth of existing knowledge and provide insights into how landslides fit into broader disaster management frameworks, facilitating interdisciplinary approaches.
Modeling Trophic Cascades to Identify Key Mammalian Species for Ecosystem Stability
Authors: Risdiyanto Idung , Santosa Yanto , Santoso Nyoto , Sunkar Arzyana
Published: November 2024

The role of keystone species in maintaining ecosystem stability is a crucial aspect of ecology. Identifying key mammalian species within an ecosystem requires a systematic approach, utilizing criteria and indicators derived from species characteristic variables. This study presents a framework to identify key mammalian species based on various ecological, structural, and functional factors. By developing a mechanistic model of energy flow in food webs and trophic levels, the model aims to pinpoint each species’ role in the stability and sustainability of biomass flow within the ecosystem. Known as KVT version 1.0, the model explains the role of each characteristic variable of mammalian species, predicts population growth, elucidates species interactions at trophic levels, and assesses species-specific dietary compositions, including food requirements, reproduction, and activity. Factor analysis of model outputs has produced equations to determine the value of keystone species (Kv), indicating the role of mammalian species in the stability and sustainability of biomass flow in the ecosystem. Keystone species, as identified by this model, are primarily small mammals of the families Muridae, Sciuridae, Tupaiidae, Ptilocercidae, Hystricidae, Viverridae, and Herpestidae, demonstrating omnivorous and herbivorous trophic levels. This model can serve as a valuable framework for conservation management of biodiversity in an ecosystem, with potential for expansion to include characteristics of non-mammalian species in future research.
Exploring the Role of Global Value Chain Position in Economic Models for Bankruptcy Forecasting
Authors: Croquet Mélanie , Cultrera Loredana , Laroutis Dimitri , Pozniak Laetitia , Vermeylen Guillaume
Published: November 2024

This study addresses a significant gap in the literature by comparing the effectiveness of traditional statistical methods with artificial intelligence (AI) techniques in predicting bankruptcy among small and medium-sized enterprises (SMEs). Traditional bankruptcy prediction models often fail to account for the unique characteristics of SMEs, such as their vulnerability due to lean structures and reliance on short-term credit. This research utilizes a comprehensive database of 7104 Belgian SMEs to evaluate these models. Belgium was selected due to its unique regulatory and economic environment, which presents specific challenges and opportunities for bankruptcy prediction in SMEs. Our findings reveal that AI techniques significantly outperform traditional statistical methods in predicting bankruptcy, demonstrating superior predictive accuracy. Furthermore, our analysis highlights that a firm’s position within the Global Value Chain (GVC) impacts prediction accuracy. Specifically, firms operating upstream in the production process show lower prediction performance, suggesting that bankruptcy risk may propagate upward along the value chain. This effect was measured by analyzing the firm’s GVC position as a variable in the prediction models, with upstream firms exhibiting greater vulnerability to the financial distress of downstream partners. These insights are valuable for practitioners, emphasizing the need to consider specific performance factors based on the firm’s position within the GVC when assessing bankruptcy risk. By integrating both AI techniques and GVC positioning into bankruptcy prediction models, this study provides a more nuanced understanding of bankruptcy risks for SMEs and offers practical guidance for managing and mitigating these risks.
Informal Employment, the Tertiary Sector, and the Gross Domestic Product: A Structural Equations Model for the Mexican Economy
Authors: Robles Ortiz David , Ambriz Torres Raymundo Alexei
Published: November 2024

In Mexico, approximately 55% of the working population is employed informally, contributing 24.4% to the Gross Domestic Product (GDP) in 2022. This study analyzed the impact of wages, taxes, government spending, and unemployment on the informal economy of Mexico from 1980 to 2022, as well as its relationship with the tertiary sector’s contribution to the GDP. The methodology of the study was structural equation modeling. The findings of this study revealed that an increase in taxes, the unemployment rate, and the minimum wage in Mexico tends to be accompanied by a rise in informal employment. Finally, a unitary change in the latent variable informality affected the growth of the tertiary sector’s contribution to the GDP by 0.37 units.