bluuebunny/crossref_metadata_2025 huggingface dataset:
Classification and Analysis of Agaricus bisporus Diseases with Pre-Trained Deep Learning Models
Authors: Albayrak Umit , Golcuk Adem , Aktas Sinan , Coruh Ugur , Tasdemir Sakir , Baykan Omer
Published: January 2025

This research evaluates 20 advanced convolutional neural network (CNN) architectures for classifying mushroom diseases in Agaricus bisporus, utilizing a custom dataset of 3195 images (2464 infected and 731 healthy mushrooms) captured under uniform white-light conditions. The consistent illumination in the dataset enhances the robustness and practical usability of the assessed models. Using a weighted scoring system that incorporates precision, recall, F1-score, area under the ROC curve (AUC), and average precision (AP), ResNet-50 achieved the highest overall score of 99.70%, demonstrating outstanding performance across all disease categories. DenseNet-201 and DarkNet-53 followed closely, confirming their reliability in classification tasks with high recall and precision values. Confusion matrices and ROC curves further validated the classification capabilities of the models. These findings underscore the potential of CNN-based approaches for accurate and efficient early detection of mushroom diseases, contributing to more sustainable and data-driven agricultural practices.
The Exploitation of Nanotechnology in Herbicides and Bioherbicides: A Novel Approach for Sustainable Weed Management
Authors: La Iacona Mirko , Scavo Aurelio , Lombardo Sara , Mauromicale Giovanni
Published: January 2025

The growing global demand for food security requires a paradigm shift towards sustainable agricultural practices, particularly in weed management. Nanotechnology is emerging in agriculture as a useful tool to reduce the dosage and the negative effects of herbicides on the one side and to improve the bioherbicides efficiency on the other side. This review provides an in-depth analysis of the literature available on the topic, with particular reference to the main characteristics of nanoparticles for weed control and the main nanoformulations for herbicides and bioherbicides. Nanoformulations such as nanoemulsions, nanocapsules, nanospheres, silver nanoparticles and organic materials protect the active ingredients from environmental degradation and enable their controlled release, enhance foliar adhesion and facilitate the penetration into plant tissues while at the same time minimizing the off-target effects. The last paragraph reviews the recent advancements in the field of nanobioherbicides. Moreover, examples of nanoherbicide and nanobioherbicide application in laboratory, greenhouse and field conditions are collected and discussed. This review highlights the increasing efficiency and diffusion of nanoherbicides and nanobioherbicides, suggesting their introduction into sustainable and integrated weed management strategies. However, further research is still required to assess their effectiveness under natural conditions, improve their stability over time and study their bioaccumulation and toxicity toward non-target organisms.
Unraveling TGF-β1’s Role in Mediating Fibrosis and Cell Death in Feline Kidney Cells
Authors: Intachat Chanyanuch , Chuammitri Phongsakorn , Sornpet Benjaporn , Patchanee Prapas , Manachai Nawin , Piyarungsri Kakanang
Published: January 2025

Chronic kidney disease (CKD) is prevalent among older cats. The transforming growth factor beta 1 (TGF-β1) pathway is associated with renal fibrosis. TGF-β1 signaling through the non-canonical/smad-independent pathway activates mitogen-activated protein kinase (MAPK) signaling, which is linked to fibrosis and apoptosis. The MAPK pathway regulates the Bcl-2 protein family, which is known for its anti-apoptosis properties. This study aimed to quantify the mRNA expression of the TGFβ, MAPK, and Bcl2 genes and the protein expression of TGF-β1 and MAPK in feline kidney cells and tissue. A gene expression analysis was conducted using qPCR to calculate the relative gene expression, while the protein expression was assessed through Western blot analysis. Immunohistochemistry staining of TGF-β1 and MAPK was performed on feline kidney tissue. The results revealed the significant upregulation of TGFβ (p = 0.001) and considerable downregulation of Bcl2 (p = 0.010) in doxorubicin-treated feline kidney cells. The immunostaining levels of TGF-β1 and MAPK were higher in the kidney tissue of cats with CKD than in non-CKD cats. However, there was no difference in TGFβ, MAPK, or Bcl2 gene expression in CKD vs. non-CKD cats. The findings suggest that TGF-β1 and Bcl-2 are associated with renal fibrosis and apoptosis in feline kidney cells. A deeper understanding of the TGF-β1 pathway could enable veterinarians to monitor disease progression and mitigate complications in feline CKD.
Assessment of Antimicrobial Use for Companion Animals in South Korea: Developing Defined Daily Doses and Investigating Veterinarians’ Perception of AMR
Authors: Kim Sun-Min , Kim Heyong-Seok , Kim Jong-Won , Min Kyung-Duk
Published: January 2025

There are global concerns regarding the transmission of antimicrobial-resistant pathogens from animals to humans. Especially, companion animals are increasingly recognized as a potential source due to their close interactions with people, despite a limited number of reported cases. Although, social demands regarding comprehensive surveillance for antimicrobial resistance (AMR) among companion animals are highlighted, there is a lack of a relevant system in South Korea. In this regard, we conducted preliminary investigation on antimicrobial use (AMU) among small animal clinics, along with veterinary practitioner’s knowledge and attitude regarding this issue in South Korea. We collected data on 684,153 antimicrobial prescription visits for canine and feline patients from 2019 to 2022 at 100 veterinary facilities in South Korea, using electronic medical records. To evaluate antimicrobial use (AMU) and facilitate comparisons across institutions and time periods, we developed the Defined Daily Dose for Animals (DDDA) and the Defined Animal Daily Dosages per 1000 Animal-Days (DAPD). In addition, we conducted an online survey of 362 veterinary practitioners, which included questions on their perceptions, attitudes, and practices regarding antimicrobial prescriptions. Simple frequency analyses were performed to examine temporal trends, regional differences and variations by facility size in AMU, and to summarize survey responses. Descriptive analysis using data from 100 veterinary clinics revealed a rising trend in AMU between 2019 and 2022, with higher usage observed in larger clinics and non-capital regions. DDDA values for dogs were generally higher than for cats. Survey results highlighted that, while veterinarians exhibited high awareness of AMR, prescribing practices were significantly influenced by clinical judgments and owner demands, often deviating from established guidelines. The adoption of an electronic veterinary prescription management system (e-Vet) was proposed to enhance antimicrobial stewardship. However, concerns regarding the system’s efficiency and administrative burden were prominent. To our best knowledge, this study provided DDDA for companion animals for the first time in South Korea. Although the indicator should be improved with more comprehensive data and expert opinion, our study showed that it enables reasonable situation analysis regarding AMU in companion animals. The identified factors that affect veterinarians’ prescription practices can also be used to design an effective strategy for promoting appropriate antimicrobial usage.
A GIS-Based Estimation of Bioenergy Potential from Cereal and Legume Straw Biomasses in Alentejo, Portugal
Authors: Rodrigues Abel , Gonçalves Alexandre B. , Maçãs Benvindo , Cordeiro António , Brito Paulo
Published: January 2025

Portugal exhibits a large deficit in cereals with an import/export ratio of about 18%. Alentejo is a southern vast plain region, which is the largest cereal producer in the country, with about 80% of the total cereal area. The region also shows a huge local energy deficit with a ratio of about 17% between spent and produced energy. In this context, this work used GIS modeling based on available digital geographical information on soil and topographic conditions in Alentejo for estimating optimal production areas of four main classes of cereal and legume classes, which were wheat, barley, oat/lupin, and triticale/broad bean. The estimated areas were validated by 199 sample points in the field and allowed to quantify a potential of bioenergy production from straw biomasses based on yields of biomass net calorific values of 18 MJkg−1 and yields of 6, 9, 6, and 9 tons/ha for the four classes in the order indicated. The estimated areas allocated to the cereal and legume classes covered approximately four municipalities in the region. The total modeled area in Alentejo for the four cultivation classes was 44,980 ha. The results showed that even if 50% of the estimated total straw biomass produced was used for animal feed, the estimated bioenergy production of the remaining half biomass would be of about 2940 TJy−1, or about 12.5% of the actual regional energy production, which is an energy amount able to supply 35 organic Rankine cycle (ORC) 2.5 MW cogeneration units and 347 boilers with 125 kW thermal power, delivering renewable electricity to the grid, and heating facilities as diverse as buildings, nursing homes, or horticultural greenhouses. More than 160 kton of CO2 fossil emissions would also be avoided, delivering a contribution to mitigating effects of climate change. By contributing to the reduction of the large cereal dependence and the carbon emissions of the country, the proposed strategy would contribute to increasing the decentralized bioenergy production for applications in buildings and local facilities, significantly boosting the socio-economic dynamics of rural areas involved.
Biometric-Based Key Generation and User Authentication Using Voice Password Images and Neural Fuzzy Extractor
Authors: Sulavko Alexey , Panfilova Irina , Inivatov Daniil , Lozhnikov Pavel , Vulfin Alexey , Samotuga Alexander
Published: January 2025

This work is devoted to the development of a biometric authentication system and the generation of a cryptographic key or a long password of 1024 bits based on a voice password, which ensures the protection of a biometric template from compromise. A new hybrid neural network model based on two types of trigonometric correlation neurons was proposed. The model is capable of recording correlation links between features and is resistant to data extraction attacks. The experiments were conducted on our own AIC-spkr-130 dataset and the publicly available RedDots, including recordings of user voices in different psycho-emotional states (sleepy state, alcohol intoxication). The results show that the proposed neural fuzzy extractor model provides an equal error probability level of EER = 2.1%.
Effects of Sugar-Sweetened Beverage Consumption on Body Mass Index (BMI) and Waist Circumference Among Adolescents in Erbil City, Iraq: A Cross-Sectional Study Using 24-h Dietary Recall
Authors: Hassan Heran Ibrahim , Othman Samir M.
Published: January 2025

(1) Background: Sugar-sweetened beverages (SSBs) are a major source of added sugars and have been linked to adverse health outcomes, including obesity and metabolic disorders. The global rise in adolescents who are overweight and obese presents critical public health challenges. Although there is a growing focus on SSB consumption globally, data on sugar and SSB intake in Iraq, particularly in the Kurdistan region, remain scarce. This study aims to assess SSB consumption and its association with body mass index (BMI) and waist circumference among adolescents in Erbil, Iraq, contributing to efforts to address obesity in this population. (2) Methods: This cross-sectional study included 379 intermediate school students aged 11 to 16 years from Erbil, Iraq. Data were collected using a validated questionnaire to gather information on sociodemographic characteristics, physical activity levels, sedentary behaviors, and sleep duration. Weight and height were measured, and age- and sex-adjusted BMI z-scores were calculated. Waist circumference was measured twice, with the average value recorded. Dietary data were obtained using two non-consecutive 24 h recalls (one on a school day and one on a weekend day), and the average daily SSB consumption was calculated. Multiple regression modeling was used to evaluate the associations between SSB consumption, BMI, and waist circumference, adjusting for potential confounders. Data analysis was conducted using SPSS version 26, with statistical significance set at 5%. (3) Results: The mean daily intake of SSBs was 686.71 ± 197.50 milliliters (mL), with males consuming significantly more (719.8 ± 185.9) than females (658.0 ± 185.3) (p = 0.001). The prevalence of overweight and obesity was 41.7%. Multiple regression analysis showed a significant positive association between BMI and SSB consumption, sedentary behavior, and total caloric intake (p < 0.001), while age was negatively associated with BMI. The consumption of SSBs was strongly associated with BMI, with each additional milliliter of SSB intake associated with a 0.002 unit increase in BMI (t-value = 12.498, p < 0.001). Waist circumference was significantly positively associated with SSB consumption, total caloric intake, and sedentary behavior (p < 0.001), while age (p < 0.001) and moderate-to-vigorous physical activity (MVPA) (p = 0.005) were negatively associated with waist circumference. For each additional milliliter of SSB consumed, waist circumference increased by 0.028 units (t-value = 12.498, p < 0.001). (4) Conclusions: High levels of SSB consumption were observed among adolescents in Erbil, particularly among males. Significant associations were found between SSB intake, overweight/obesity, and waist circumference. These findings highlight the urgent need for targeted public health interventions and further investigation into the factors driving SSB consumption in this population.
Astrocytic Acid-Sensing Ion Channel 1a Contributes to the Development of Epileptic Cognitive Impairment
Authors: Li Wen , Zhou Huimin , Li Xiaona , Hu Gengyao , Wei Dong
Published: January 2025

Reactive astrogliosis and acidosis, common features of epileptogenic lesions, express a high level of astrocytic acid-sensing ion channel-1a (ASIC1a), a proton-gated cation channel and key mediator of responses to neuronal injury. This study investigates the role of astrocytic ASIC1a in cognitive impairment following epilepsy. Status epilepticus (SE) in C57/BL6 mice was induced using lithium–pilocarpine; the impact of ASIC1a on astrocytes was assessed using rAAV–ASIC1a–NC and rAAV–ASIC1a–shRNA, injected in the CA3 region of mice. Behavioral assessments were conducted using the Morris water maze (MWM). Western blotting and immunofluorescence were applied to evaluate ASIC1a and Gfap expression while analyzing intracellular calcium and extracellular glutamate (Glu) concentrations in primary cultured astrocytes isolated from the brains of 1 to 3-day-old mice and treated LPS. Results showed enhanced astrocyte proliferation and ASIC1a expression in the dentate gyrus of epileptic mice 7, 21, and 28 days post-SE (all p < 0.05). Escape latency in the MWM further suggested that ASIC1a regulates cognitive function in mice with chronic epilepsy. LPS stimulation in vitro mimicked inflammatory responses, increasing ASIC1a after 24 h, which increased the concentration of intracellular calcium and extracellular expression of Glu; inhibition of ASIC1a expression reversed this process. To sum up, these data confirm that astrocytic ASIC1a may facilitate cognitive dysfunction post-epilepsy, presenting a potential therapeutic target.
NF-κB-Specific Suppression in Cardiomyocytes Unveils Aging-Associated Responses in Cardiac Tissue
Authors: Morgado Letícia Aparecida Lopes , Rodrigues Larissa Maria Zacarias , Silva Daiane Cristina Floriano , da Silva Bruno Durante , Irigoyen Maria Claudia Costa , Takano Ana Paula Cremasco
Published: January 2025

Background/Objectives: Aging is associated with structural and functional changes in the heart, including hypertrophy, fibrosis, and impaired contractility. Cellular mechanisms such as senescence, telomere shortening, and DNA damage contribute to these processes. Nuclear factor kappa B (NF-κB) has been implicated in mediating cellular responses in aging tissues, and increased NF-κB expression has been observed in the hearts of aging rodents. Therefore, NF-κB is suspected to play an important regulatory role in the cellular and molecular processes occurring in the heart during aging. This study investigates the in vivo role of NF-κB in aging-related cardiac alterations, focusing on senescence and associated cellular events. Methods: Young and old wild-type (WT) and transgenic male mice with cardiomyocyte-specific NF-κB suppression (3M) were used to assess cardiac function, morphology, senescence markers, lipofuscin deposition, DNA damage, and apoptosis. Results: Kaplan–Meier analysis revealed reduced survival in 3M mice compared to WT. Echocardiography showed evidence of eccentric hypertrophy, and both diastolic and systolic dysfunction in 3M mice. Both aged WT and 3M mice exhibited cardiac hypertrophy, with more pronounced hypertrophic changes in cardiomyocytes from 3M mice. Additionally, cardiac fibrosis, senescence-associated β-galactosidase activity, p21 protein expression, and DNA damage (marked by phosphorylated H2A.X) were elevated in aged WT and both young and aged 3M mice. Conclusions: The suppression of NF-κB in cardiomyocytes leads to pronounced cardiac remodeling, dysfunction, and cellular damage associated with the aging process. These findings suggest that NF-κB plays a critical regulatory role in cardiac aging, influencing both cellular senescence and molecular damage pathways. This has important implications for the development of therapeutic strategies aimed at mitigating age-related cardiovascular diseases.
Inflammatory Markers and Severity in COVID-19 Patients with Clostridioides Difficile Co-Infection: A Retrospective Analysis Including Subgroups with Diabetes, Cancer, and Elderly
Authors: Cerbulescu Teodor , Ignuta Flavia , Rayudu Uma Shailendri , Afra Maliha , Rosca Ovidiu , Vlad Adrian , Loredana Stana
Published: January 2025

Background and Objectives: The interplay of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and Clostridioides difficile infection (CDI) poses a critical clinical challenge. The resultant inflammatory milieu and its impact on outcomes remain incompletely understood, especially among vulnerable subgroups such as elderly patients, those with diabetes, and individuals with cancer. This study aimed to characterize inflammatory markers and composite inflammatory severity scores—such as Acute Physiology and Chronic Health Evaluation II (APACHE II), Confusion, Urea, Respiratory rate, Blood pressure, and age ≥ 65 years (CURB-65), National Early Warning Score (NEWS), and the Systemic Immune-Inflammation Index (SII)—in hospitalized Coronavirus Disease 2019 (COVID-19) patients with and without CDI, and to evaluate their prognostic implications across key clinical subgroups. Methods: We conducted a retrospective, single-center study of 240 hospitalized adults with Reverse Transcription Polymerase Chain Reaction (RT-PCR)-confirmed COVID-19 between February 2021 and March 2023. Of these, 98 had concurrent CDI. We collected baseline demographics, comorbidities, and laboratory parameters including C-reactive protein (CRP), Interleukin-6 (IL-6), ferritin, neutrophil and lymphocyte counts, albumin, platelet counts, and calculated indices (C-reactive protein to Albumin Ratio (CAR), Neutrophil-to-Lymphocyte Ratio (NLR), Prognostic Nutritional Index (PNI), SII). Patients were stratified by CDI status and analyzed for inflammatory marker distributions, severity scores (APACHE II, CURB-65, NEWS), and outcomes (Intensive Care Unit (ICU) admission, mechanical ventilation, mortality). Subgroup analyses included diabetes, elderly (≥65 years), and cancer patients. Statistical comparisons employed t-tests, chi-square tests, and logistic regression models. Results: Patients with CDI demonstrated significantly higher CRP, IL-6, SII, and CAR, coupled with lower albumin and PNI (p < 0.05). They also had elevated APACHE II, CURB-65, and NEWS scores. CDI-positive patients experienced increased ICU admission (38.8% vs. 20.5%), mechanical ventilation (24.5% vs. 12.9%), and mortality (22.4% vs. 10.6%, all p < 0.05). Subgroup analyses revealed more pronounced inflammatory derangements and worse outcomes in elderly, diabetic, and cancer patients with CDI. Conclusions: Concurrent CDI intensifies systemic inflammation and adverse clinical trajectories in hospitalized COVID-19 patients. Elevations in inflammatory markers and severity scores predict worse outcomes, especially in high-risk subgroups. Early recognition and targeted interventions, including infection control and supportive measures, may attenuate disease severity and improve patient survival.
Bionic Modeling Study on the Landing Mechanism of Flapping Wing Robot Based on the Thoracic Legs of Purple Stem Beetle, Sagra femorata
Authors: Feng Haozhe , Shi Junyi , Shen Huan , Zhu Chuanyu , Wu Haoming , Sun Lining , Wang Qian , Liu Chao
Published: January 2025

Flapping wing micro aerial vehicles (FWMAVs) are recognized for their significant potential in military and civilian applications, such as military reconnaissance, environmental monitoring, and disaster rescue. However, the lack of takeoff and landing capabilities, particularly in landing behavior, greatly limits their adaptability to the environment during tasks. In this paper, the purple stem beetle (Sagra femorata), a natural flying insect, was chosen as the bionic research object. The three-dimensional reconstruction models of the beetle’s three thoracic legs were established, and the adhesive mechanism of the thoracic leg was analyzed. Then, a series of bionic design elements were extracted. On this basis, a hook-pad cooperation bionic deployable landing mechanism was designed, and mechanism motion, mechanical performance, and vibration performance were studied. Finally, the bionic landing mechanism model can land stably on various contact surfaces. The results of this research guide the stable landing capability of FWMAVs in challenging environments.
Rapid Detection of microRNA-122 in Serum and Finger Blood Using a Lateral Flow Nucleic Acid Biosensor
Authors: Zhang Min , Ma Meijing , Wang Jiahui , Zhou Yurui , Zhang Xueji , Liu Guodong
Published: January 2025

MicroRNA122 (miR-122) is a microRNA that is highly expressed in hepatocytes and has been identified as a prospective therapeutic target and biomarker for liver injury. An expanding body of research has demonstrated that miR-122 is a critical regulator in both the initiation and progression of a wide range of liver diseases. Traditional methods for detecting miR-122 mainly include Northern blotting and qRT-PCR, but they are technically complex and cumbersome, requiring expensive instruments and high technical requirements. In this paper, we present a novel rapid testing method utilizing a lateral flow nucleic acid biosensor (LFNAB) for the sensitive and time-efficient detection of miR-122. This approach offers several advantages, including a high specificity for miR-122, the ability to detect low concentrations of the target molecule, and a significantly reduced testing time compared to conventional detection methods. In this study, a thiol-modified single-stranded detection DNA probe (Det-DNA), a biotinylated single-stranded capture DNA probe (Cap-DNA), and a biotinylated single-stranded control DNA probe (Con-DNA) are used to construct the LFNAB. A gold nanoparticle (AuNP) is a colored tag, which is used to label the Det-DNA probe. The principle of detecting miR-122 is based on dual DNA-miRNA hybridization reactions on the LFNAB to form sandwich-type AuNP-Det-DNA-miR-122-Cap-DNA complexes, which are captured on the test area of LFNAB for visualization and quantification. After systematic optimization of conditions of experiment, the response of LFNAB was highly linear within the scope of 0 pM-100 pM miR-122, and the detection limit in 15 min was 3.90 pM. The use of LFNAB to detect miR-122 in serum and fingertip blood has yielded satisfactory results. This successful application indicates the effectiveness of LFNAB in detecting miR-122 in both serum and fingertip blood samples, showcasing its potential utility in clinical and research settings for assessing miR-122 levels in different biological samples.
Viscous Damper Optimization in Low-Rise Adjacent Buildings Exposed to Earthquakes by Considering the Soil-Structure Interaction
Authors: Farhad Ahmed Ali Abdulqader , Aydın Ersin
Published: January 2025

In this study, the difference between the displacements of structures (relative displacement) is selected as the control parameter in pounding problems. During an earthquake, an increase in the amplitude of relative displacement between adjacent structures indicates a potential pounding condition. Within the scope of this study, the optimal distribution of linear viscous dampers between adjacent structures and the effect of soil on this distribution are investigated. The structure is intended to be modeled in two different ways through rigid and three sandy soil models (loose, medium-dense, and dense) at the foundation level. Different analyses are performed by changing the total damping coefficient considering the 1st and 2nd modes of the coupled models of adjacent structures. The study presents important findings on how to design dampers to prevent pounding problems in adjacent buildings, especially in seismically hazardous regions. Within this study, an adjacent building model 5-5 story is examined. The optimum damping coefficients are compared, and their effectiveness is demonstrated using the first periods of both adjacent building models. The proposed method in the study shows that it is possible to minimize the collisions of adjacent structures with the optimum placement of viscous dampers. The method shown is quite effective for the design of dampers that will be added to the structures later or at the initial stage.
Experimental Study on the Seismic Behavior of CFST Self-Centering Rocking Bridge Piers
Authors: Lu Wei , Zou Yu , Luo Xingyu , Song Jun , Li Haiqing
Published: January 2025

Compared to conventional reinforced concrete (RC) piers, self-centering rocking piers exhibit better seismic resilience and sustain minor damage. However, their construction typically relies on prefabrication. Moving large, prefabricated components can be challenging in mountainous areas with limited transportation access. Therefore, using concrete-filled steel tube (CFST) piers is a practical alternative. The steel tube both serves as a construction permanent formwork and enhances the compressive performance of concrete through confinement effects. To apply CFST self-centering rocking piers in mountainous regions with high seismic intensity, a fast construction system was designed and a 1:4 scale specimen was developed for testing. Lateral cyclic loading tests revealed that the specimen exhibited good deformation and self-centering capabilities, with a residual drift ratio of only 0.17% at a drift ratio of 7.7%. Most of the horizontal displacement was contributed through a rocking gap opening, resulting in minimal damage to the pier itself. The damage was concentrated primarily in the energy-dissipating rebars, while the prestress strands remained elastic, though prestress loss was observed.
Optimisation of Embodied Carbon and Thermal Performance of Roof Material Selections for Australian Residential Housing
Authors: Fu Yuqi , Wang Cynthia Changxin
Published: January 2025

This research is responding to the latest sustainable development policy for residential housing in Australia, which mandates a minimum R6.0 for roof insulation and a requirement of reporting the embodied carbon footprint for new build residential houses before obtaining development approval. The requirement of thermal resistance (R-value) results in thicker roof material to be used, and inevitably increases the total embodied carbon. This condition has drawn the need for an optimised design to balance the embodied carbon with the required thermal performance. In this paper, a multi-objective, mixed-integer, non-linear mathematical programming model is adopted to perform the optimisation. While mathematical programming is a well-established method in optimisation, a research gap has been observed in its application in optimising roof material selection under the simultaneous constraints of the R-value and volumetric heat capacity (thermal mass). Using a common conventional pitched roof with a timber frame, the study demonstrates how the model identifies material combinations that minimise the total embodied carbon within the specified thermal performance ranges. The unique contribution of this research is integrating thermal mass into the optimisation of roof material selections alongside thermal resistance, and embodied carbon. The findings provide practical recommendations for sustainable material selections across varying R-value and thermal mass ranges, offering a new perspective on roof material selections.
PLASMA: Partial LeAst Squares for Multiomics Analysis
Authors: Yamaguchi Kyoko , Abdelbaky Salma , Yu Lianbo , Oakes Christopher C. , Abruzzo Lynne V. , Coombes Kevin R.
Published: January 2025

Background/Objectives: Recent growth in the number and applications of high-throughput “omics” technologies has created a need for better methods to integrate multiomics data. Much progress has been made in developing unsupervised methods, but supervised methods have lagged behind. Methods: Here we present the first algorithm, PLASMA, that can learn to predict time-to-event outcomes from multiomics data sets, even when some samples have only been assayed on a subset of the omics data sets. PLASMA uses two layers of existing partial least squares algorithms to first select components that covary with the outcome and then construct a joint Cox proportional hazards model. Results: We apply PLASMA to the stomach adenocarcinoma (STAD) data from The Cancer Genome Atlas. We validate the model both by splitting the STAD data into training and test sets and by applying them to the subset of esophageal cancer (ESCA) containing adenocarcinomas. We use the other half of the ESCA data, which contains squamous cell carcinomas dissimilar to STAD, as a negative comparison. Our model successfully separates both the STAD test set (p = 2.73 × 10−8) and the independent ESCA adenocarcinoma data (p = 0.025) into high-risk and low-risk patients. It does not separate the negative comparison data set (ESCA squamous cell carcinomas, p = 0.57). The performance of the unified multiomics model is superior to that of individually trained models and is also superior to an unsupervised method (Multi-Omics Factor Analysis; MOFA), which finds latent factors to be used as putative predictors in a post hoc survival analysis. Conclusions: Many of the factors that contribute strongly to the PLASMA model can be justified from the biological literature.
Iterative Intraperitoneal Chemotherapy in Gastric Cancer Peritoneal Carcinomatosis
Authors: Tajik Fatemeh , Eyob Belain , Khan Aaqil M. , Radhakrishnan Vinodh Kumar , Senthil Maheswari
Published: January 2025

Background/objectives: Despite the incremental improvement of survival with systemic therapy in metastatic gastric cancer (GC), the outcomes of patients with peritoneal carcinomatosis (PC) remain poor. The limited effectiveness of systemic therapy is attributed to the blood–peritoneal barrier and anarchic intra-tumoral circulation, which reduce the penetration of systemic therapy. Approaches that incorporate intraperitoneal (IP) chemotherapy, in addition to systemic therapies, may be a viable alternate strategy. Therefore, we provide a review of biology of gastric cancer peritoneal metastasis and evidence for bidirectional iterative IP chemotherapy in GCPC. Methods: A comprehensive search in PubMed, Scopus, Embase, Web of Science, Google Scholar, and ClinicalTrials.gov was performed to find the relevant articles and ongoing phase II/III clinical trials in iterative IP chemotherapy in GCPC. Results: Intraperitoneal (IP) chemotherapy leverages the blood–peritoneal barrier to allow for the administration of high concentrations of chemotherapy directly to the peritoneal metastases, with a significant reduction in the systemic toxicity and enhanced drug efficacy against peritoneal metastasis. This pharmacokinetic advantage of IP chemotherapy can be further enhanced by additional measures such as heat or aerosolization. There are three IP chemotherapy approaches, namely, heated intraperitoneal chemotherapy (HIPEC), pressurized intraperitoneal aerosolized chemotherapy (PIPAC), and normothermic intraperitoneal chemotherapy (NIPEC). Recent evidence suggests that iterative IP chemotherapy combined with systemic therapy may offer significant survival benefits for patients with peritoneal metastasis. Furthermore, bidirectional treatment approaches may also increase the chances of surgical resection and survival. Conclusions: IP chemotherapy plays a pivotal role in the management of gastric carcinomatosis, particularly in combination with cytoreduction in highly selected patients. The combination of systemic and regional control may increase the chances of surgical resection and may ultimately lead to significant survival benefits.
Cardiac Exposure Related to Adjuvant Radiotherapy in Patients Affected by Thymoma: A Dosimetric Comparison of Photon or Proton Intensity-Modulated Therapy
Authors: Marzo Antonio Marco , Cozzi Luca , Franceschini Davide , Dominici Luca , Spoto Ruggero , Laurelli Francesco , Gallo Pasqualina , Paganini Lucia , Reggiori Giacomo , Brilli Federica , Caracciolo Alessandra , Franzese Ciro , Francone Marco , Scorsetti Marta
Published: January 2025

Background: Radiotherapy for thymoma is delivered post-operatively in selected cases. Given the particular location of the thymic bed and the excellent prognosis, late cardiac toxicities may be an issue. The purpose of this retrospective dosimetric study is to investigate whether intensity-modulated proton beam therapy (IMPT) compared to photon therapy could better spare cardiac substructures, given prespecified dose constraints. Methods: We retrospectively selected patients treated with adjuvant radiotherapy for thymoma in our institution. We manually contoured fourteen cardiac substructures (CSs), with the supervision of a team of cardioradiologists. The photon-based plans were re-optimized in adherence to the volumetric modulated arc therapy (VMAT) technique with specific dose constraints for the new contoured structures. The proton-based plans were optimized in adherence to intensity-modulated proton therapy (IMPT) using the beam spot scanning technique. Results: Twenty-nine patients treated with adjuvant radiotherapy with a prescribed dose of 50 Gy in 25 daily fractions for radically resected thymoma were selected. IMPT demonstrated better sparing of most cardiac substructures in terms of Dmax, Dmean and V5Gy. Finally, IMPT plans more easily achieved the proposed dose constraints. Conclusions: Cardiac substructures can be successfully spared with IMPT. Clinical studies are needed to establish a relationship between dose parameters and the development of cardiac events.
Association of Structural Maintenance of Chromosome-1A Phosphorylation with Progression of Breast Cancer
Authors: Yadav Sushma , Kowolik Claudia M. , Schmolze Daniel , Yuan Yuan , Lin Min , Riggs Arthur D. , Horne David A.
Published: January 2025

Structural maintenance of chromosome-1A (SMC1A) is overexpressed in various malignancies including triple-negative breast cancer (TNBC). As a core component of the cohesin complex, SMC1A was initially recognized for its involvement in chromosomal cohesion and DNA-repair pathways. However, recent studies have unveiled its pivotal role in epithelial–mesenchymal transition (EMT), metastasis, and chemo- and radio-resistance in cancer cells. In hepatocellular carcinoma, aberrant phosphorylation of SMC1A has been associated with enhanced cell proliferation and migration. Despite these insights, the precise role of SMC1A phosphorylation in breast cancer remains largely unexplored. This study represents the first investigation to test the phosphorylation status and subcellular localization of SMC1A (p-SMC1A) in breast cancer and normal breast tissues. Immunohistochemical (IHC) staining was conducted using previously validated phospho-SMC1A antibodies on a histological section and tissue microarray (TMA) comprising samples from primary, invasive, and metastatic breast cancer and normal breast tissues. Our results revealed that p-SMC1A staining intensity was lower in normal breast tissues compared to invasive or metastatic breast cancer tissues (p < 0.001). Approximately 40% of breast cancer tissue exhibited cytoplasmic/membranous localization of p-SMC1A, whereas nuclear expression was observed in normal breast tissues. Moreover, elevated phosphorylation levels were significantly associated with higher tumor grade and metastasis.
The Multifaceted Roles of MicroRNA-181 in Stem Cell Differentiation and Cancer Stem Cell Plasticity
Authors: Yang Chun , Wang Rui , Hardy Pierre
Published: January 2025

Stem cells are undifferentiated or partially differentiated cells with an extraordinary ability to self-renew and differentiate into various cell types during growth and development. The epithelial–mesenchymal transition (EMT), a critical developmental process, enhances stem cell-like properties in cells, and is associated with both normal stem cell function and the formation of cancer stem cells. Cell stemness and the EMT often coexist and are interconnected in various contexts. Cancer stem cells are a critical tumor cell population that drives tumorigenesis, cancer progression, drug resistance, and metastasis. Stem cell differentiation and the generation of cancer stem cells are regulated by numerous molecules, including microRNAs (miRNAs). These miRNAs, particularly through the modulation of EMT-associated factors, play major roles in controlling the stemness of cancer stem cells. This review presents an up-to-date summary of the regulatory roles of miR-181 in human stem cell differentiation and cancer cell stemness. We outline studies from the current literature and summarize the miR-181-controlled signaling pathways responsible for driving human stem cell differentiation or the emergence of cancer stem cells. Given its critical role in regulating cell stemness, miR-181 is a promising target for influencing human cell fate. Modulation of miR-181 expression has been found to be altered in cancer stem cells’ biological behaviors and to significantly improve cancer treatment outcomes. Additionally, we discuss challenges in miRNA-based therapies and targeted delivery with nanotechnology-based systems.
Nestin Forms a Flexible Cytoskeleton by Means of a Huge Tail Domain That Is Reversibly Stretched and Contracted by Weak Forces
Authors: Yamagishi Ayana , Tokuoka Rina , Imai Kazuki , Mizusawa Mei , Susaki Moe , Uchida Koki , Kijima Saku T. , Nagasaki Akira , Takeshita Daijiro , Yoshikawa Chiaki , Uyeda Taro Q. P. , Nakamura Chikashi
Published: January 2025

Nestin is a type VI intermediate filament protein and a well-known neural stem cell marker. It is also expressed in high-grade cancer cells, forming copolymerized filaments with vimentin. We previously showed that nestin inhibits the binding of vimentin’s tail domain to actin filaments (AFs) by steric hindrance through its large nestin tail domain (NTD), thereby increasing three-dimensional cytoskeleton network mobility, enhancing cell flexibility, and promoting cancer progression. Further, we found that nestin itself stably binds to AFs via the NTD. We therefore hypothesized that the NTD may form a flexible cytoskeletal structure by extending with weak force. In vitro tensile tests using atomic force microscopy were performed to assess the mechanical properties of NTDs. The C-terminus of the NTD bound AFs by bringing the AFM tip modified with the NTD into contact with the AFs on the substrate. NTDs were elongated to approximately 80% of their maximum length at weak forces < 150 pN. Repeated tensile tests revealed that the NTD refolded quickly and behaved like a soft elastic material. We speculate that nestin stably binds AFs, and the NTD extends with weak force, contracting quickly upon load release. Thereby, nestin would absorb mechanical load and maintain cytoskeletal integrity.
UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality
Authors: Al Ktash Mohammad , Knoblich Mona , Wackenhut Frank , Brecht Marc
Published: January 2025

Cotton, the most widely produced natural fiber, is integral to the textile industry and sustains the livelihoods of millions worldwide. However, its quality is frequently compromised by contamination, particularly from honeydew, a substance secreted by insects that leads to the formation of sticky fibers, thereby impeding textile processing. This study investigates ultraviolet (UV) hyperspectral imaging (230–380 nm) combined with multivariate data analysis to detect and quantify honeydew contaminations in real cotton samples. Reference cotton samples were sprayed multiple times with honey solutions to replicate the natural composition of honeydew. Comparisons were made with an alternative method where samples were soaked in sugar solutions of varying concentrations. Principal component analysis (PCA) and quadratic discriminant analysis (QDA) effectively differentiated and classified samples based on honey spraying times. Additionally, partial least squares regression (PLS-R) was utilized to predict the honeydew content for each pixel in hyperspectral images, achieving a cross-validation coefficient of determination R2 = 0.75 and root mean square error of RMSE = 0.8 for the honey model. By employing a realistic spraying method that closely mimics natural contamination, this study refines sample preparation techniques for improved evaluation of honeydew levels. In conclusion, the integration of hyperspectral imaging with multivariate analysis represents a robust, non-destructive, and rapid approach for real-time detection of honeydew contamination in cotton, offering significant potential for industrial applications.
Deciphering the Link Between Diagnosis-Related Group Weight and Nursing Care Complexity in Hospitalized Children: An Observational Study
Authors: Cesare Manuele , D’Agostino Fabio , Sebastiani Emanuele ,   Nursing and Public Health Group, Damiani Gianfranco , Cocchieri Antonello
Published: January 2025

Background/Objectives: The increasing medical and nursing care complexity in hospitalized children represents a significant challenge for healthcare systems. However, the link between these two dimensions remains partially explored. This study aims to decipher the relationship between Diagnosis-Related Group (DRG) weight and nursing care complexity in hospitalized children and to identify the determinants of medical complexity. Methods: This retrospective study, conducted in an Italian university hospital, included children aged 2 to 11 years admitted to the hospital in 2022 with a minimum hospital stay of 2 days. Data were gathered from the Neonatal Pediatric Professional Assessment Instrument and the Hospital Discharge Register. DRG weight was used as an indicator of medical complexity, while the number of nursing diagnoses (NDs) documented in the first 24 h from hospital admission and the nursing actions (NAs) recorded during the patient’s hospital stay were used to measure nursing care complexity. Correlation analyses were conducted to explore the associations between DRG weight, NDs, and NAs. Stepwise regression was run to identify the key determinants of medical complexity across sociodemographic, clinical, organizational, and nursing variables. Results: Among 914 patients (mean age of 6.11 ± 2.90 years), the median DRG weight was 0.6982 (IQR: 0.5522). Patients had an average of 3.89 ± 2.83 NDs and a median of 17 NAs (IQR: 8). Significant correlations were found between NDs and NAs (rs = 0.507; p < 0.001), as well as between DRG weight and the frequency of NDs (rs = 0.232; p < 0.001) and NAs (rs = 0.184; p < 0.001). Stepwise regression indicated that the number of NAs, surgical DRG, scheduled admissions, and ND frequency were significant determinants of DRG weight (R2 = 0.311; adjusted R2 = 0.308; p < 0.001). Conclusions: In children, DRG weight is also influenced by nursing care complexity, alongside clinical and organizational factors. An integrated approach is essential to enhance pediatric care and patient outcomes.
A Survey of Parents’ Perspective of Receiving a Developmental Diagnosis for Their Child
Authors: Miller Stacey D. , Juricic Maria , Coates Jaimy , Bone Jeffrey N. , Sandhu Ash , Mulpuri Kishore , O’Donnell Maureen
Published: January 2025

Receiving a diagnosis, such as cerebral palsy (CP), can have lasting impacts on caregivers and families. Previous literature has described that caregivers wish to receive a diagnosis together, without delay, in a private, direct, honest, and sympathetic way. This study aimed to understand the experience of caregivers of children with cerebral palsy (CP) or similar conditions when receiving a diagnosis for their child.: Caregivers of children and youth aged 0–18 years with CP or a similar physical condition completed a survey investigating who first provided a diagnosis, and the way it was provided. Questions were based on the pediatric SPIKES framework. Caregivers were asked how receiving a diagnosis could have been improved. Thematic analysis of qualitative data were performed.: A total of 180 surveys were completed. Mean age at diagnosis was 19.0 (SD 25.7) months. Most caregivers reported the healthcare provider was sympathetic and understanding (75%) and clear and direct (69%). Only 25% of caregivers recalled being directed to where to find information; only 37% reported being told what their child does well or is expected to do well. Thematic analysis revealed three themes: (1) less waiting, (2) more compassionate communication, and, (3) information and support to move forward: Caregivers wanted the diagnosis to be timely and provided with compassion. Requests for greater information on the diagnosis, available support, and their child’s future, suggest that greater care to support families in the aftermath of receiving a diagnosis is also needed.
The First Complete Chloroplast Genome Sequence of Secale strictum subsp. africanum Stapf (Poaceae), the Putative Ancestor of the Genus Secale
Authors: Skuza Lidia , Androsiuk Piotr , Gastineau Romain , Achrem Magdalena , Paukszto Łukasz , Jastrzębski Jan Paweł
Published: January 2025

Secale strictum ssp. africanum (synonym Secale africanum), a putative ancestor of the genus Secale, has been classified within Secale strictum, although recent phylogenetic studies suggest that it represents a distinct species. This study reports the first complete chloroplast genome of S. africanum, highlighting its structure, genetic composition, and phylogenetic relationships within Secale and related Triticiceae species. Phylogeny reconstruction based on the maximum-likelihood method reveals notable genetic similarity between S. strictum and S. africanum, supporting their genetic and phylogenetic distinction. Here, we assembled the complete, annotated chloroplast genome sequence of Secale strictum ssp. africanum. The genome is 137,068 base pair (bp) long. It is the first complete chloroplast genome that can be used as a reference genome for further analysis. The genome can be accessed on GenBank with the accession number OQ700974. This work sheds light on the evolutionary history of Secale and contributes to our understanding of chloroplast genomics in cereal ancestors, with potential applications in improving cereal crop resilience, advancing breeding strategies, and informing conservation efforts for genetic diversity.