bluuebunny/crossref_metadata_2025 huggingface dataset:
Thrombocytopenia in Critically Ill Children: A Review for Practicing Clinicians
Authors: Totapally Balagangadhar R. , Totapally Abhinav , Martinez Paul A.
Published: January 2025

Thrombocytopenia frequently occurs in patients before, during, and after admission to Pediatric Intensive Care Units (PICUs). In critically ill children, it is often due to multifactorial causes and can be a sign of significant organ dysfunction. This review summarizes the potential causes/mechanisms of thrombocytopenia in acutely ill children, their identification, and treatments, with special attention paid to septic patients. The mechanisms of thrombocytopenia include decreased production and sequestration, but the most common reason is increased destruction or consumption. This review specifically reviews and compares the presentation, pathogenesis, and treatment of disseminated intravascular coagulation (DIC) and the thrombotic microangiopathic spectrum (TMA), including thrombocytopenia-associated multiorgan failure (TAMOF), hemolytic uremic syndrome, and other diagnoses. The other etiologies discussed include HLH/MAS, immune thrombocytopenia, and dilutional thrombocytopenia. Finally, this review analyzes platelet transfusions, the various thresholds, and complications.
A Survey on the Organization and Operation of Level II/III Neonatal Intensive Care Units in Greece: A Comparison Between 2004 and 2022
Authors: Sarafidis Kosmas , Iacovidou Nicoletta , Hatzidaki Eleftheria , Chatziioannidis Ilias , Dimitriou Gabriel
Published: January 2025

Background/Objectives: Limited data exist on the organization and operation of Level II/III Neonatal Intensive Care Units (NICUs) in Greece; this retrospective cross-sectional survey explored their structure and functioning in 2004 and 2022. Methods: A structured questionnaire was utilized, along with demographic and perinatal data obtained from the Hellenic Statistical Authority. Results: Between 2004 and 2022, live births decreased by 28%, while the prematurity rate rose from 6.96% to 11.87% (p < 0.001). Significant regional differences were observed in the number of NICUs (p = 0.033), live births (p < 0.001), and NICUs per 10,000 live births (p = 0.025). In this survey, data from 20 Level III NICUs in 2004 and 22 NICUs (one Level II) in 2022 were analyzed. NICU admissions increased by 16.1% (p = 0.389), while the rate of admitted neonates/1000 live births increased from 13.5 to 21.8 (p < 0.001). In 2022, premature infants constituted 40.2% of NICU admissions. The number of board-certified neonatologists increased by 21.8% between 2004 and 2022 (p = 0.795), along with a rise in the ratio of neonatologists per 10,000 live births (from 14.8 to 25, respectively, p < 0.001). Conversely, there was a significant 17.2% reduction in the nursing staff by 2022 (p = 0.034). The number of available NICU beds also increased during the study period. The ratio of ventilators to intensive care beds significantly improved (p < 0.001). In 2022, new treatment modalities, like therapeutic hypothermia, were introduced, and most NICUs reported offering long-term follow-up programs. Conclusions: This survey highlights significant advancements in Level II/III NICU infrastructure and care capabilities, while emphasizing demographic changes and a critical shortage of neonatal nursing staff. These factors should be carefully considered by health authorities in the development of future neonatal care strategic planning in the country.
Rectus Abdominis Muscle Endometriosis: A Unique Case Report with a Literature Review
Authors: Turčić Marijana , Matušan Ilijaš Koviljka , Rajković Molek Koraljka , Valković Zujić Petra
Published: January 2025

Introduction and importance: Extrapelvic endometriosis, confined exclusively to the body of the rectus abdominis muscle, is a rare form of abdominal wall endometriosis. While its etiopathology remains unclear, it is often diagnosed in healthy women who present with atypical symptoms and localization unrelated to any incision site, or in the absence of a history of endometriosis or previous surgery. Presentation of the case: Here, we describe a unique case of intramuscular endometriosis of the rectus abdominis muscle in a healthy 39-year-old Caucasian woman. The condition was located away from any prior incisional scars and presented without typical symptoms or concurrent pelvic disease, making diagnostic imaging unclear. After partial surgical resection of the endometriotic foci, the diagnosis was confirmed histologically. Progestogen-based supportive medication was initiated to prevent the need for additional surgeries and to reduce the risk of recurrence. After 6 years of follow-up and continued progestogen treatment, the patient remains symptom-free and has shown no recurrence of the disease. Clinical discussion: Endometriosis of the rectus abdominis muscle exhibits specific characteristics in terms of localization, etiopathology, symptomatology, and diagnostic imaging, suggesting that it should be considered a distinct clinical entity. Conclusions: Although rare, primary endometriosis of the rectus abdominis muscle should be included in the differential diagnosis for women of childbearing age. Early diagnosis is essential to avoid delayed recognition, tissue damage, and to minimize the risk of recurrence or malignant transformation. Given the increasing frequency of gynecologic and laparoscopic surgeries worldwide, it is crucial to establish standardized reporting protocols, follow-up timelines, and imaging assessments during specific phases of the menstrual cycle. Standardization will help raise awareness of this disease, and further our understanding of its pathogenesis, risk factors, recurrence patterns, and potential for malignant transformation—factors that are still not fully understood.
A Pore-Scale Investigation of Oil Contaminant Remediation in Soil: A Comparative Study of Surfactant- and Polymer-Enhanced Flushing Agents
Authors: Pu Yu , Yang Erlong , Wang Di , Shen Shuqian
Published: January 2025

Pore-scale remediation investigation of oil-contaminated soil is important in several environmental and industrial applications, such as quick responses to sudden accidents. This work aims to investigate the oil pollutant removal process and optimize the oil-contaminated soil remediation performance at the pore scale to find the underlying mechanisms for oil removal from soil. The conservative forms of the phase-field model and the non-Newtonian power-law fluid model are employed to track the moving interface between two immiscible phases, and oil pollutant flushing removal process from soil pores is investigated. The effects of viscosity, interfacial tension, wettability, and flushing velocity on pore-scale oil pollutant removal regularity are explored. Then, the oil pollutant removal effects of two flushing agents (surfactant system and surfactant–polymer system) are compared using an oil content prediction curve based on UV-Visible transmittance. The results show that the optimal removal efficiency is obtained for a weak water-wetting system with a contact angle of 60° due to the stronger two-phase fluid interaction, deeper penetration, and more effective entrainment flow. On the basis of the dimensionless analysis, a relatively larger flushing velocity, resulting in a higher capillary number (Ca) in a certain range, can achieve rapid and efficient oil removal. In addition, an appropriately low interfacial tension, rather than ultra-low interfacial intension, contributes to strengthening the oil removal behavior. A reasonably high viscosity ratio (M) with a weak water-wetting state plays synergetic roles in the process of oil removal from the contaminated soil. In addition, the flushing agent combined with a surfactant and polymer can remarkably enhance the oil removal efficiency compared to the sole use of the surfactant, achieving a 2.5-fold increase in oil removal efficiency. This work provides new insights into the often-overlooked roles of the pore scale in fluid dynamics behind the remediation of oil-contaminated soil via flushing agent injection, which is of fundamental importance to the development of effective response strategies for soil contamination.
Effect of Short Duration Heat Stress on the Physiological and Production Parameters of Holstein-Friesian Crossbred Dairy Cows in Bangladesh
Authors: Habiba Mst. Umme , Hoque S. A. Masudul , Uddin Moin , Esha Khatun-A-Jannat , Seema Sabrina Zaman , Al-Noman Kazi Md. , Tamanna Shamsun Nahar , Akhtar Shahrina , Salam Md. Abdus , Selim Abu Sadeque Md. , Rahman Md. Morshedur
Published: January 2025

Heat stress is a major concern for lactating dairy cows. This study evaluated the effects of heat stress on six Holstein-Friesian crossbred dairy cows exposed to three thermal conditions represented by the Temperature-Humidity Index (THI). These conditions included a baseline pre-treatment phase at THI-72, a heat stress treatment phase at THI-75 and THI-80, and a post-treatment recovery phase at THI-72. The duration of the heat stress treatment phase was 24 h. A total of four trials, each involving three cows, were conducted in an IoT-based climatic chamber to assess various physiological, hematological, biochemical, and production parameters across these phases. Compared to the baseline (THI-72), cows showed significant increases (p < 0.05) in rectal temperature (RT), heart rate (HR), respiration rate (RR), and water intake (WI) at both THI-75 and THI-80, with the highest elevations observed at THI-80 (RT: 5.1%, HR: 8.6%, RR: 23.5%, and WI: 19.1%). Feed intake declined significantly (p < 0.05) by 6.5% and 14.0%, and milk yield dropped by 5.3% and 14.7% at THI-75 and THI-80, respectively; milk fat and protein percentages decreased by 1.1-fold and 1.2-fold. Hemoglobin, platelet, and lymphocyte counts, along with biochemical parameters (excluding serum creatinine) also decreased significantly (p < 0.05). The different levels of THI influenced pairwise correlation patterns, with THI-75 showing intense interactions and THI-80 exhibiting greater variability. The findings highlight that Holstein-Friesian crossbred dairy cows are particularly vulnerable to heat stress, even with short-term exposure. This vulnerability can lead to economic losses for Bangladeshi dairy farmers rearing Holstein-Friesian crossbred cows.
A Novel (AlCrNbTaTi)N Multilayer Hard High-Entropy Alloy Nitride Coating with Variable Aluminum Content Deposited by Cathodic Arc Ion Plating
Authors: Huang Zhihong , Lang Wenchang , Chen Yanming , Yang Bing , Wan Qiang
Published: January 2025

Traditional binary coatings like TiN and CrN display limited thermal stability and wear resistance under extreme conditions. High-entropy alloy nitride (HEAN) coatings offer a promising solution due to their customizable composition and unique properties, including high hardness, corrosion resistance, and thermal stability. This study focused on (AlCrNbTaTi)N HEAN coatings to address a critical need for materials capable of enduring extreme mechanical and tribological demands by examining the impact of aluminum content on their structural and mechanical properties, providing insights for optimizing coatings in harsh conditions through a self-assembled nanolayer structure with enhanced resilience and performance. The coatings were deposited via a cathodic arc by employing an AlCrNbTaTi alloy target composed of aluminum (20, 50, 60, 70%) and equal molar ratios of Cr, Nb, Ta, and Ti. The coatings were characterized through grazing incidence X-ray diffraction, SEM, HR-TEM, a nano-indentation test, and a friction and wear test. The results indicated that with increasing Al content, the structure of (AlCrNbTaTi)N coatings shifted from FCC to an amorphous state, leading to a reduction in the hardness and elastic modulus, accompanied by an increase in the wear rate and friction coefficient. The (AlCrNbTaTi)N coating, with an equal atomic ratio of metallic elements, showed potential as a hard tool coating. It demonstrated outstanding mechanical and tribological properties, with a 34.5 GPa hardness, 369 GPa modulus, 0.35 friction coefficient, and 8.2 × 10−19 m2·N−1 wear rate. The findings highlight the potential of (AlCrNbTaTi)N coatings to extend tool life and improve operational efficiency, helping advance materials engineering for industrial applications.
Dissolution and Pharmacokinetic Studies of Paracetamol-4,4′-Bipyridine Cocrystals Obtained Using Four Methods
Authors: Zhang Xiaoming , Huang Yejia , Li Jinliang , Chen Yiying , Lian Jialing
Published: January 2025

Paracetamol-4,4′-bipyridine cocrystals were synthesized using a solution method, reflux method, grinding method, and ultrasonic method. The structures and properties were characterized through the utilization of single-crystal X-ray diffraction (SXRD), powder X-ray diffraction (PXRD), polarized light microscopy (PLM), thermogravimetric analysis (TGA), elemental analysis (EA), and infrared spectroscopy (IR). The results show that the four methods synthesized different cocrystal morphologies, but the same structure and properties coupled with a notably high purity level. All featured strong hydrogen bonds formed between the paracetamol,4,4′-bipyridine and water molecules. An additional notable feature is the presence of π...π stacking interactions between the pyridine rings of adjacent 4,4′-bipyridine molecules. The solubility of paracetamol (active pharmaceutical ingredient, API) and the cocrystal was measured and discussed. In the dissolution experiment, the cocrystal showed a much faster dissolution rate than the API in simulated gastric fluid media (pH = 1.2). Furthermore, the pharmacokinetic (PK) behavior of the cocrystal and the API was investigated to evaluate the effectiveness of this strategy for enhancing the oral absorption of paracetamol. The in vitro and in vivo studies revealed that the paracetamol-4,4′-bipyridine cocrystal possessed an excellent dissolution behavior and an improved pharmacokinetic profile.
Effect of Amino Acids on the Synthesis of NiFe2O4/Au Hybrid Nanoparticles
Authors: Nemkova Diana , Saikova Svetlana , Krolikov Anton
Published: January 2025

Hybrid nanoparticles, composed of magnetic oxides and gold, have garnered significant interest due to their potential applications in various fields, including catalysis, diagnostics, and nanomedicine. In this study, the effect of reaction parameters on the reduction of HAuCl4 by different non-sulfur amino acids (glycine, L-serine, L-tryptophan, and L-tyrosine) was determined using the design of experiment (DOE) method. The results of the analysis of the regression equations were used to select the conditions and develop a methodology for the preparation of the hybrid magnetic NiFe2O4/Au nanoparticles (NPs) by direct reduction of gold on the magnetic surface using the aforementioned amino acids as the reducing and stabilizing agents simultaneously. The materials were characterized using XRD, TEM, XPS, and Vis/FTIR spectroscopy. The results indicate the successful synthesis of magnetic NiFe2O4/Au nanoparticles with all amino acids used, but the size of the gold crystals, their surface density, and the details of the NP structure (inlaid or a core–shell structure) depend on the amino acid used. The mechanism of the gold deposition on the magnetic core surface and the difference in the effect of various amino acids are discussed. The developed synthesis strategy can be extended to other metal ferrites and iron oxides.
Insights into the Multidisciplinary Approach for Metastatic Acinic Cell Lung Carcinoma: The Pathologist’s Role in Romania Today
Authors: Lazureanu Dorela-Codruta , Burlea Amelia , Barna Robert , Cipu Daniela , Pasca Fenesan Mihaela , Icma Ioan , Cornianu Marioara
Published: January 2025

Background/Objectives: Acinic cell carcinoma (ACC) is a rare lung neoplasm that can affect both children and adults as a parenchymal or endobronchial mass. It is histologically similar to this kind of tumor described in salivary glands, but with a different immunophenotype. In general, it poses a reduced degree of malignancy, with indolent growth and a favorable prognosis, with exceptionally rare cases associated with recurring disease or lymph node metastases. Methods: When clinicians are facing puzzling symptomatology in their patients, the main role of the multidisciplinary team in their review of oncological cases is to recommend imagistic-guided biopsies. Tissues samples were routinely processed, stained with hematoxylin-eosin (HE) and periodic acid–Schiff (PAS), and submitted to complementary immunohistochemistry tests. Results: Histopathological reports were consistent for lung ACC with regional lymph node involvement and remote metastases. Oncological therapies followed. Conclusions: Postponements of the presentation to the doctor at the onset of symptoms, as well as a lack of periodic health control for people insured by national health insurance companies, often lead to medical, human and financial complications that are difficult to manage. The pathologist involved in the discussion of oncological cases brings his expertise in solving cases, certifying the evolution of tumors considered less aggressive, such as in the case of lung ACCs.
Multidimensional Environmental Drivers of Bamboo Species Richness on Subtropical Islands
Authors: Zhan Weifeng , Xie Yanqiu , Xie Xinran , Chen Zujian , Deng Chuanyuan , Huang Hui
Published: January 2025

Understanding the distribution patterns and driving mechanisms of bamboo species diversity on islands is essential for advancing knowledge of island ecosystem processes and informing strategies for bamboo resource conservation and management. This study utilized standardized major axis regression (SMA) to assess the effects of island area and isolation on bamboo species across 30 islands in Fujian, China. Furthermore, a partial least squares structural equation model (PLS-SEM) was constructed to explore the driving mechanisms underlying bamboo species richness. This analysis incorporated six key environmental factors—island size, isolation, shape, climate, development intensity, and habitat heterogeneity—spanning a total of 12 variables. The primary findings were as follows: (1) Eight genera and twenty-nine bamboo species were identified on Fujian islands. Species richness increased significantly with island area, consistent with the theory of area effects, while isolation had no significant impact on richness. (2) Different reproductive types exhibited distinct responses to environmental conditions. This was evident in the species–area relationship slopes (z-values): SR = 2.07; monopodial = 0.94; sympodial = 0.82; and polycyclic = 0.44. These variations highlight the ecological adaptability and functional traits of different reproductive strategies within island ecosystems. (3) Among the six environmental factors, island area exerted the greatest influence on species richness, underscoring its role as the primary driver of bamboo diversity and reproductive strategies. (4) Island area and isolation also impacted species richness indirectly through their effects on development intensity. In conclusion, the bamboo species richness and reproductive types on Fujian islands are primarily shaped by island area, followed by development intensity and habitat heterogeneity. In contrast, climate, island shape, and isolation play relatively minor roles. This study provides critical insights into the interplay of island area, isolation, shape, climate, development intensity, and habitat heterogeneity in shaping bamboo diversity. The findings offer a valuable foundation for bamboo resource conservation, island ecosystem management, and sustainable development.
The Impact of Ageing on Diaphragm Function and Maximal Inspiratory Pressure: A Cross-Sectional Ultrasound Study
Authors: Yamada Toru , Minami Taro , Shinohara Takahiro , Ouchi Shuji , Mabuchi Suguru , Yoshino Shunpei , Emoto Ken , Nakagawa Kazuharu , Yoshimi Kanako , Saito Mitsuko , Horike Ayane , Toyoshima Kenji , Tamura Yoshiaki , Araki Atsushi , Hanazawa Ryoichi , Hirakawa Akihiro , Ishida Takeshi , Kimura Takuma , Tohara Haruka , Hashimoto Masayoshi
Published: January 2025

Background/Objectives: The effects of ageing on the diaphragm are unclear. This study examined the association between ageing and diaphragm thickness, thickening fraction (TF), and diaphragm excursion (DE) as assessed by ultrasonography after adjusting for other factors. The relationship between these parameters and maximal inspiratory pressure (MIP) was also investigated. Methods: From 2022 to 2024, ambulatory and communicative adult volunteers and outpatients were recruited from four Japanese medical institutions. Each participant’s background factors (including height, weight, and underlying diseases) and pulmonary function test results were assessed. Diaphragm thickness, TF, and DE were evaluated using ultrasonography. Results: The study involved 230 individuals with a mean age of 55.5 years (older adults (65 years and over), n = 117; non-older adults, n = 113). In older adults, the diaphragm was thicker (2.1 vs. 1.7 mm, p < 0.001), and TF was lower (88.7% vs. 116.0%, p < 0.001), with no significant difference in DE. Multivariate linear regression analysis adjusted for sex, height, body mass index, and underlying diseases showed positive associations between age and diaphragm thickness (p = 0.001), but not with TF or DE. MIP was positively associated with DE (p < 0.001) but not with thickness or TF. Age was negatively associated with MIP, regardless of diaphragm thickness, TF, and DE (all p < 0.001). Conclusions: As the diaphragm thickens with age, neither thickness nor TF is associated with MIP; only DE is related to MIP. Additionally, ageing is negatively associated with MIP, independent of diaphragm thickness, TF, and DE. Diaphragm function should be assessed using DE rather than thickness or TF.
Clinical Utility of an Alzheimer’s Disease Blood Test Among Cognitively Impaired Patients: Results from the Quality Improvement PrecivityAD2 (QUIP II) Clinician Survey Study
Authors: Monane Mark , Maraganore Demetrius M. , Carlile Robert M. , Johnson Kim G. , Merrill David A. , Gitelman Darren R. , Sharlin Kenneth S. , VandeVrede Lawren A. , George Kristi K. , Wang Jimin , West Tim , Jacobs Leslie , Verghese Philip B. , Braunstein Joel B.
Published: January 2025

Objective: The objective of this study was to assess clinical decision-making associated with the use of a multi-analyte blood biomarker (BBM) test among patients presenting with signs or symptoms of mild cognitive impairment or dementia. Methods: The Quality Improvement PrecivityAD2 (QUIP II) Clinician Survey (NCT06025877) study evaluated the clinical utility of the PrecivityAD2™ blood test in a prospective, single cohort of 203 patients presenting with symptoms of Alzheimer’s disease (AD) or other causes of cognitive decline across 12 memory specialists. The PrecivityAD2 blood test (C2N Diagnostics, St. Louis, MO) combines the plasma Aβ42/Aβ40 ratio and the p-tau217/np-tau217 ratio (%p-tau217) measurements in a statistical algorithm to yield an Amyloid Probability Score 2 (APS2) that informs on the likelihood of brain amyloid plaques. After receiving the BBM test results, clinicians completed surveys on management strategies for each patient. Results: Patients had a median age of 74, 53% were female, and 28% were traditionally under-represented in Black, Hispanic, and Asian groups. The composite primary endpoint, defined as a change in AD diagnostic certainty, drug therapy, or additional brain amyloid evaluation pre- and post-BBM testing, was 75% (p < 0.0001 versus the pre-specified threshold of 20% clinically meaningful change). Anti-AD medication orders decreased among negative APS2 patients and increased among positive APS2 patients (p < 0.0001). Additional brain amyloid testing decreased among negative APS2 patients (p < 0.0001). Conclusions: This blood biomarker test can help memory specialists guide patients to anti-AD therapies as well as rule out AD to allow for other diagnostic considerations.
Nutritional Profiles and Factors Associated with the Intake of Certain Food Types in Patients Undergoing Maxillofacial Prosthetic Rehabilitation: A Cross-Sectional Study
Authors: Pradhan Nehasha , Murase Mai , Akiyama Masako , Tani Hiroko , Sumita Yuka I. , Wakabayashi Noriyuki
Published: January 2025

Background: Malnutrition is a significant concern for head and neck cancer (HNC) patients, as treatment often impairs mastication, causes dysphagia, and alters taste and smell, leading to reduced food intake and a diminished quality of life. Thus, this study aims to compare nutritional intake in HNC survivors using maxillofacial prostheses (MFPs) to healthy reference values and identify the factors influencing their dietary intake. Methods: The study included 56 patients treated for HNC undergoing rehabilitation with comfortable definitive dentures for over a month at the Maxillofacial Prosthetics Clinic of Tokyo Medical and Dental University Hospital. Data were gathered on the demographics, clinical characteristics, malnutrition risk using a malnutrition universal screening tool, dietary intake consistency via a functional oral intake scale, swallowing difficulties with eating assessment tool-10, and nutrient intake through a Brief-type Self-administered Dietary History Questionnaire. Patients’ nutrient intakes were compared to the reference values from the BDHQ ad hoc computer algorithm based on the 2015 National Health and Nutrition Survey in Japan. Factors such as maximum mouth opening and the number of functional teeth were also assessed together with the aforementioned factors. Results: There were significant differences between the patient values and reference values, with lower intakes of total dietary fiber, carbohydrates, and β-carotene, while higher intakes of calcium, fats, and certain vitamins were noted in the patients. Food intake consistency, swallowing difficulties, and mouth opening significantly influenced green vegetable intake, whereas sex and the number of functional teeth impacted cereal intake. Conclusions: The HNC survivors were rehabilitated with MFP; however, their nutritional intake differed from that of healthy subjects. The significance of swallowing rehabilitation, appropriate food preparation, exercises to enhance mouth opening, and the preservation of functional teeth has been emphasized as critical factors influencing diet in head and neck cancer (HNC) survivors. Additionally, the importance of a multidisciplinary approach to nutritional care for these individuals is underscored.
Mixed Bioconvection Flow Around a Vertical Thin Needle with Variable Surface Fluxes
Authors: Nima Nayema Islam , Hannan Mohammed Abdul
Published: January 2025

This study investigates mixed convection flow over a vertical thin needle with variable surface heat, mass, and microbial flux, incorporating the influence of gyrotactic microorganisms. The governing partial differential equations are transformed into ordinary differential equations using appropriate similarity transformations and then solved numerically by employing MATLAB’s Bvp4c solver. The primary focus lies in examining the influence of various dimensionless parameters, including the mixed convection parameter, power-law index, buoyancy parameters, bioconvection parameters, and needle size parameters, on the velocity, temperature, concentration, and microbe profiles. The results indicate that these parameters significantly affect the surface (wall) temperature, fluid concentration, and motile microbe concentration, as well as the corresponding velocity, temperature, concentration, and microorganism profiles. The findings provide insights into the intricate dynamics of mixed convection flow with bioconvection and have potential applications in diverse fields such as biomedicine and engineering.
Quadratic Forms in Random Matrices with Applications in Spectrum Sensing
Authors: Riviello Daniel Gaetano , Alfano Giusi , Garello Roberto
Published: January 2025

Quadratic forms with random kernel matrices are ubiquitous in applications of multivariate statistics, ranging from signal processing to time series analysis, biomedical systems design, wireless communications performance analysis, and other fields. Their statistical characterization is crucial to both design guideline formulation and efficient computation of performance indices. To this end, random matrix theory can be successfully exploited. In particular, recent advancements in spectral characterization of finite-dimensional random matrices from the so-called polynomial ensembles allow for the analysis of several scenarios of interest in wireless communications and signal processing. In this work, we focus on the characterization of quadratic forms in unit-norm vectors, with unitarily invariant random kernel matrices, and we also provide some approximate but numerically accurate results concerning a non-unitarily invariant kernel matrix. Simulations are run with reference to a peculiar application scenario, the so-called spectrum sensing for wireless communications. Closed-form expressions for the moment generating function of the quadratic forms of interest are provided; this will pave the way to an analytical performance analysis of some spectrum sensing schemes, and will potentially assist in the rate analysis of some multi-antenna systems.
Artificial Intelligence: An Untapped Opportunity for Equity and Access in STEM Education
Authors: Kohnke Shalece , Zaugg Tiffanie
Published: January 2025

Artificial intelligence (AI) holds tremendous potential for promoting equity and access to science, technology, engineering, and mathematics (STEM) education, particularly for students with disabilities. This conceptual review explores how AI can address the barriers faced by this underrepresented group by enhancing accessibility and supporting STEM practices like critical thinking, inquiry, and problem solving, as evidenced by tools like adaptive learning platforms and intelligent tutors. Results show that AI can positively influence student engagement, achievement, and motivation in STEM subjects. By aligning AI tools with Universal Design for Learning (UDL) principles, this paper highlights how AI can personalize learning, improve accessibility, and close achievement gaps in STEM content areas. Furthermore, the natural intersection of STEM principles and standards with the AI4K12 guidelines justifies the logical need for AI–STEM integration. Ethical concerns, such as algorithmic bias (e.g., unequal representation in training datasets leading to unfair assessments) and data privacy risks (e.g., potential breaches of sensitive student data), require critical attention to ensure AI systems promote equity rather than exacerbate disparities. The findings suggest that while AI presents a promising avenue for creating inclusive STEM environments, further research conducted with intentionality is needed to refine AI tools and ensure they meet the diverse needs of students with disabilities to access STEM.
Inclusion of Women in the Mining Sector: Challenges and Opportunities Through Education
Authors: Castañeda-Burciaga Selene , Guirette-Barbosa Omar Alejandro , Ramírez-Salazar Martha Angélica , Celaya-Padilla José María , García-Estrada Leticia Isabel
Published: January 2025

Labor dynamics have changed in recent years, and women have increased their participation in various activities within the production and business industries. One of these sectors is mining, which presents both challenges and opportunities to promote gender equality and decent work. In light of this, the objective of the present study is to identify the limitations faced by women in the mining sector, framed within personal, family, social, and labor aspects, in relation to their educational level. Due to the nature of the study, a cross-sectional, descriptive, and non-experimental investigation was proposed. The sample consisted of more than 50 companies distributed throughout the Mexican Republic, with a total of 316 female workers in the mining sector. The main results show greater limitations in labor and family aspects. Moreover, educational levels directly affect how women perceive the impact of working in mining on the various areas in which they operate.
Early Determinants of Intergenerational Upward and Downward Educational Mobility
Authors: Neuenschwander Markus P. , Ramseier Lukas , Garrote Ariana
Published: January 2025

Intergenerational educational mobility means that adolescents graduate at a higher level (upward mobility) or lower level (downward mobility) than their parents did. Knowledge about early determinants supports upward and downward mobility at an early stage. Evidence about early determinants of educational mobility allows for the elaboration of educational strategies to minimize the correlation between family socio-economic status (SES) and student upper-secondary education level. In this longitudinal study (N = 2376), we examined the extent to which teacher and parent expectations in 7th grade (mean age: 13.2 years) predict the achievement and effort of adolescents with and without migration backgrounds and the probability of upward and downward mobility at the end of upper-secondary education. The results showed indirect effects of teacher and parent expectations on upward and downward mobility, mediated by student achievement, after controlling for gender and conscientiousness. The effects of parent expectations were stronger than the effects of teacher expectations. Effort predicted downward mobility more than achievement in mathematics and German. No differences were found between adolescents with and without migration backgrounds. In the case of the tracked Swiss education system, parents’ and teacher expectations predicted educational mobility over long periods.
Interdisciplinary Approaches in Doctoral and Higher Research Education: An Integrative Scoping Review
Authors: Rana Kritika , Aitken Sarah J. , Chimoriya Ritesh
Published: January 2025

Interdisciplinary approaches are increasingly integral in doctoral and higher research education, addressing complex global challenges through collaborations across disciplines. This review investigates the benefits, challenges, and educational impact of interdisciplinary approaches in doctoral research. This scoping review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and uses an integrative narrative synthesis. The review was conducted using four major academic databases (ERIC, PubMed, Scopus, and Web of Science) with an exploratory search using keywords related to interdisciplinary approaches, doctoral studies, and academic collaborations. The review synthesized evidence from studies published in English, focusing on interdisciplinary research in doctoral education, with no restrictions on study design. Eligibility criteria were based on the SPIDER tool (Sample, Phenomenon of Interest, Design, Evaluation, Research Type). The search was completed on 25 September 2024. The initial search retrieved n = 954 articles, with n = 167 articles being reviewed for the integrative synthesis. The review included studies that examined interdisciplinary collaborations in doctoral research, highlighting the benefits such as skill versatility, career readiness, and research adaptability. The challenges discussed included academic culture differences, communication barriers, and institutional silos. The role of academic institutions and supervisors in supporting interdisciplinary research through fostering collaborative environments was emphasized. The review provides insights into how interdisciplinary approaches can enhance doctoral education, preparing graduates to tackle global challenges. It highlights the need for improved integration of interdisciplinary practices in doctoral research and outlines future directions for fostering interdisciplinary collaborations in higher education.
Rethinking Science Education Practices: Shifting from Investigation-Centric to Comprehensive Inquiry-Based Instruction
Authors: Morris Dana Lynn
Published: January 2025

Inquiry-based learning (IBL) has become a cornerstone of contemporary science education, championed by frameworks like the Next Generation Science Standards (NGSS). While designed to engage students actively in scientific practices, inquiry is often misapplied, resulting in an overemphasis on hands-on investigations. This investigation-centric approach can overshadow other essential phases of inquiry, leading to a superficial understanding of scientific concepts. This paper introduces a Comprehensive Inquiry-Based Science Education (CIBSE) Framework, grounded in responsive teaching and aligned with the NGSS scientific and engineering practices. The framework emphasizes student reasoning, explanation, and the balance between short exploration and scaffolded support, aiming to offer a more holistic approach to inquiry-based science instruction. By synthesizing key elements from existing models and cognitivism, constructivism, and sociocultural learning theories, the CIBSE Framework addresses current gaps and limitations, providing educators with strategies to guide students toward deeper conceptual understanding and critical thinking. Ultimately, this balanced, adaptable framework empowers educators to meet diverse classroom needs, fostering scientific literacy and critical thinking skills essential for navigating an increasingly science-oriented world.
Characteristics of Effective Elementary Mathematics Instruction: A Scoping Review of Experimental Studies
Authors: Bognar Branko , Mužar Horvat Sanela , Jukić Matić Ljerka
Published: January 2025

Considering that the teaching of mathematics in elementary school is an important prerequisite for the development of mathematically literate citizens, it is essential to identify what makes it effective. The aim of this study is to determine the characteristics of effective interventions in elementary school mathematics education. To this end, a scoping review was conducted that included 44 experimental studies published between 2014 and 2023. Through a qualitative analysis of the intervention descriptions, we identified 27 characteristics, which were categorized into nine thematic units. We found that, on average, seven characteristics were used per intervention. The results of this study suggest that effective elementary school mathematics instruction should foster students’ conceptual understanding and procedural fluency through problem-solving, active learning, and mathematical games. This can be achieved through a dynamic alternation of whole-class instruction and cooperative and individual learning with the use of manipulatives and visualizations to reach the level of abstraction. Considering that the analyzed interventions rarely addressed students’ common errors and critical thinking, future research could focus on these aspects in elementary school mathematics education.
Experimental Characterization of Reversible Oil-Flooded Twin-Screw Compressor/Dry Expander for a Micro-Scale Compressed Air Energy Storage System
Authors: Francesconi Marco , Baldinelli Arianna , Sani Luca , Antonelli Marco
Published: January 2025

The reversible use of a volumetric machine as a compressor and expander shows potential for micro-scale compressed air energy storage systems because of lower investment costs and higher operational flexibility. This paper investigates experimentally the reversible use of a 3 kW oil-flooded twin-screw compressor as an expander for a micro-scale compressed air energy storage system to assess its operation while minimizing operating costs and the need for adjustments. As a result, the oil injection was only implemented in the compressor operation since the oil takes part in the compression process, while its use appears optional in expander operation. The results indicate that the compressor exhibited an efficiency in the range of 0.57–0.80 and required an input power from 1 kW up to 3 kW. These values decreased for the expander, whose efficiency was in the range of 0.24–0.38 and the delivered power between 300 and 1600 W. The experimental data allow assessing the operation of such machine in a hypothetical micro-scale compressed air energy storage. The calculation revealed that this machine may operate in this energy storage asset and deliver up to 90% of the power recovered in the charging process when the temperature of the stored air is 80 °C.
StegoEDCA: An Efficient Covert Channel for Smart Grids Based on IEEE 802.11e Standard
Authors: Natkaniec Marek , Kępowicz Paweł
Published: January 2025

Smart grids are continuously evolving, incorporating modern technologies such as Wi-Fi, Zigbee, LoRaWAN or BLE. Wi-Fi are commonly used to transmit data from measurement systems, distribution control and monitoring systems, as well as network protection systems. However, since Wi-Fi networks primarily operate on unlicensed frequency bands, this introduces significant security risks for sensitive data transmission. In this paper, we propose a novel and highly efficient covert channels that utilize IEEE 802.11 Enhanced Distributed Channel Access (EDCA) for data transmission. It is also the first ever covert channel that employ three or four independent covert mechanisms to enhance operational efficiency. The proposed mechanism is also the first to exploit the Transmission Opportunity (TXOP) period and the access categories of the EDCA function. The protocol was developed and tested using the ns-3 simulator, achieving excellent performance results. Its efficiency remains consistent even under heavy network load with additional background traffic. These covert channels provide an innovative solution for securely transmitting large volumes of data within the smart grid.
The Effect of Intake Temperature on the Idle Combustion Cycle Variation of Two-Stroke Aviation Kerosene Piston Engines
Authors: Wang Jian , Han Zhiqiang , Liang Yusheng , Zuo Zinong , Fang Zhongxin , Tian Wei , Fang Jia , Wu Xueshun
Published: January 2025

In order to solve the problem of combustion cycle variation in two-stroke aviation kerosene piston engines under idle conditions, experiments were conducted to investigate the influence of intake air temperature on combustion cycle variation and output work. The coefficient of variation of the indicated mean effective pressure was used to characterize combustion cycle variation. The results showed that there is a negative correlation between the engine combustion work and the combustion cycle variation. In the lower range, increasing the intake air temperature has a greater effect on reducing the combustion cycle variation, while in the higher range, the combustion cycle variation has a greater impact on the output work. At the same time, the influence of intake air temperature on the fuel evaporation rate is related to engine speed, and this relationship weakens as the engine speed increases. In the range of 0~40 °C, the higher the intake air temperature, the larger the stable combustion range.
Optimizing Bacterial Protectant Composition to Enhance Baijiu Yeast Survival and Productivity During Spray Drying
Authors: Li Jingyu , Xiong Fengkui , Liu Zhongbin , Zheng Jia , Hu Guangzhong , Feng Zheng
Published: January 2025

The flavor substances produced by the division of baijiu yeast during the winemaking process often determine the quality of white wine, and the difficulty of storing and transporting high-quality baijiu yeast is a bottleneck that restricts the development of China’s baijiu industry. It is widely accepted that drying microorganisms such as baijiu yeast is the best way to improve its storage and transport performance. Spray drying, as one of the most widely used microbial drying processes, with a high efficiency and low cost, is the hot spot of current research in the field of microbial drying, but it has the inherent defect of a low drying survival rate. In order to address this inherent defect, the present study was carried out with a high-quality white wine yeast, Modified Sporidiobolus Johnsonii A (MSJA), as the target. Firstly, an orthogonal experiment, Steep Hill Climbing experiment, and response surface experiment were sequentially designed to optimize the type and amount of protective agent added in the spray-drying process of MSJA. Then, the effects of glutamyl transaminase (TGase) treatment on the drying process of MSJA were revealed with the help of advanced equipment, such as laser particle sizer, environmental scanning electron microscope (ESEM), and Fourier-transform infrared scanner (FTIR). The results showed that the addition of “TGase-treated soybean isolate protein (SPI) + lactic protein (LP)” as an in vitro bacterial protectant and “14.15% trehalose + 7.10% maltose + 14.04% sucrose” TGase treatment can promote the cross-linking of protective proteins, reduce the distance between MSJA bacteria and protective proteins, and increase the glass transition temperature to enhance the protective effect of protective proteins, so as to improve the survival rate of MSJA during spray drying.
Wireless Accelerometer Architecture for Bridge SHM: From Sensor Design to System Deployment
Authors: Bono Francesco Morgan , Polinelli Alessio , Radicioni Luca , Benedetti Lorenzo , Castelli-Dezza Francesco , Cinquemani Simone , Belloli Marco
Published: January 2025

This paper introduces a framework to perform operational modal analysis (OMA) for structural health monitoring (SHM) by presenting the development and validation of a low-power, solar-powered wireless sensor network (WSN) tailored for bridge structures. The system integrates accelerometers and temperature sensors for dynamic structural assessment, all interconnected through the energy-efficient message queuing telemetry transport (MQTT) messaging protocol. Moreover, it delves into the details of sensor selection, calibration, and the design considerations necessary to address the unique challenges associated with bridge structures. Special attention is given to the solar-powered aspect, allowing for extended deployment periods without the need for frequent maintenance or battery replacements. To validate the proposed system, a comprehensive field deployment was conducted on an actual bridge structure. The collected data were transmitted through MQTT messages and analyzed by means of OMA. Comparative studies with traditional wired systems underscore the advantages of the solar-powered wireless solution in terms of sustainability, scalability, and ease of deployment. Results from the validation phase demonstrate the system’s capability to provide accurate and real-time data needed to assess the health state of the monitored asset. This paper concludes with insights into the practical implications of adopting such a solar-powered WSN, emphasizing its potential to revolutionize bridge health monitoring by offering a cost-effective and energy-efficient solution for long-term infrastructure resilience.