bluuebunny/crossref_metadata_2025 huggingface dataset:
DualPFL: A Dual Sparse Pruning Method with Efficient Federated Learning for Edge-Based Object Detection
Authors: Song Shijin , Du Sen , Song Yuefeng , Zhu Yongxin
Published: November 2024

With the increasing complexity of neural network models, the huge communication overhead in federated learning (FL) has become a significant issue. To mitigate resource consumption, incorporating pruning algorithms into federated learning has emerged as a promising approach. However, existing pruning algorithms exhibit high sensitivity to network architectures and typically require multiple sessions of retraining to identify optimal structures. The direct application of such strategies to FL would inevitably introduce an additional communication cost. To this end, we propose a novel communication-efficient federated learning framework, DualPFL (Dual Sparse Pruning Federated Learning), designed to address these issues by implementing dynamic sparse pruning and adaptive model aggregation strategies. The experimental results demonstrate that, compared to similar works, our framework can improve convergence speed by more than two times under non-IID data, achieving up to 84% accuracy on the CIFAR-10 dataset, 95% mean average precision (mAP) on the COCO dataset using YOLOv8, and 96% accuracy on the TT100K traffic sign datasets. These findings indicate that DualPFL facilitates secure and efficient collaborative computing in smart city applications.
Redirecting a Broad-Spectrum Nanobody Against the Receptor-Binding Domain of SARS-CoV-2 to Target Omicron Variants
Authors: Intasurat Kwanpet , Submunkongtawee Nonth , Longsompurana Phoomintara , Thaiprayoon Apisitt , Kasemsukwimol Warisara , Sirimanakul Suwitchaya , Boonsilp Siriphan , Seetaha Supaphron , Choowongkomon Kiattawee , Waraho-Zhmayev Dujduan
Published: November 2024

The urgent need for an effective COVID-19 therapy has propelled the exploration of innovative strategies to combat the fast-mutating SARS-CoV-2 virus. This study attempted to develop nanobodies (Nbs) against the SARS-CoV-2 Omicron variants by redirecting the 1.29 neutralizing Nb, a receptor-binding domain (RBD)-specific Nb that can protect against various SARS-CoV-2 variants other than Omicron, to target SARS-CoV-2 Omicron subvariant BA.5, the variant used for the development of the bivalent vaccine. Error-prone libraries of the 1.29 Nb were constructed. Following two rounds of selection using the functional ligand-binding identification by Tat-based recognition of associating proteins (FLI-TRAP) technique, we rapidly identified two Nbs, namely, C11 and K9, that could target the RBD of the Omicron subvariant BA.5, XBB.1.5, and XBB.1.16 subvariants. Molecular docking provided insights into how these Nbs interact with the RBD of the BA.5 and JN.1 variants. The application of directed evolution via utilization of error-prone PCR and the synthetic E. coli applied in the FLI-TRAP selection method may be a powerful tool for facilitating simple, fast and economical selection to redirect existing antibodies and to generate antibody fragments to target proteins susceptible to autonomous mutation, not only for viral infection but also other diseases, such as cancer.
Statistical Inference of Uncertain Autoregressive Model via the Principle of Least Squares
Authors: Wang Han , Liu Yang , Shi Haiyan
Published: November 2024

In the study of uncertain autoregressive models, how to estimate the unknown parameters and uncertain disturbance term in the models is always a key problem. In view of this, this paper proposes a statistical inference method based on the principle of least squares to determine the unknown parameters and uncertain disturbance term in an uncertain autoregressive model, and designs a numerical algorithm to calculate the numerical solutions of the corresponding estimators. Then, the uncertain hypothesis test is used to verify the applicability of the estimated uncertain autoregressive model, and point forecast and interval forecast are also made for the time series of future moments. Finally, a case study of the Consumer Price Index for all items in U.S. cities is provided to illustrate the effectiveness of the approach proposed in this paper.
A Helium Speech Correction Method Based on Generative Adversarial Networks
Authors: Li Hongjun , Chen Yuxiang , Ji Hongwei , Zhang Shibing
Published: November 2024

The distortion of helium speech caused by helium−oxygen gas mixtures significantly impacts the safety and communication efficiency of saturation divers. Although existing correction methods have shown some effectiveness in improving the intelligibility of helium speech, challenges remain in enhancing clarity and high−pitch correction. To address the issue of degraded speech quality post−correction, a novel helium speech correction method based on generative adversarial networks (GANs) is proposed. Firstly, a new helium speech dataset is introduced, which includes isolated words and continuous speech in both Chinese and English. By training and testing on both isolated words and continuous passages, the correction capability of the model can be accurately evaluated. Secondly, a new evaluation system for helium speech correction is proposed, which partially fills the gap in current helium speech evaluation metrics. This system uses comprehensive similarity to evaluate the similarity of keywords at the sentence level, thus assessing the correction results of helium speech from both word and sentence dimensions. Lastly, a GAN−based helium speech correction method is designed. This method solves the problems of pitch period distortion and formant shift in helium speech by introducing an adaptive speech segmentation algorithm and a fusion loss function and significantly improves the clarity and intelligibility of corrected helium speech. The experimental results show that the corrected helium speech is improved in clarity and intelligibility, which shows its practical value and application potential.
Identification of Exploited Unreliable Account Passwords in the Information Infrastructure Using Machine Learning Methods
Authors: Rusanov Mikhail , Babenko Mikhail , Lapina Maria , Sajid Mohammad
Published: November 2024

Accounts are an integral part of most modern information systems and provide their owners with the ability to authenticate within the system. This paper presents an analysis of existing methods for detecting simple account passwords in automated systems. Their advantages and disadvantages are listed. A method was developed to detect simple exploitable passwords that administrators can use to supplement other existing methods to increase the overall security of automated systems against threats from accounts potentially compromised by attackers. The method was based on the analysis of commands executed in automated or manual modes with the indication of credentials in plain text. Minimum password strength requirements are provided based on the security level. A special case was considered in which all passwords analyzed in this way were found explicitly in the system logs. We developed a unified definition of the classification of passwords into simple and strong, and also developed machine learning technology for their classification. The method offers a flexible adaptation to a specific system, taking into account the level of significance of the information being processed and the password policy adopted, expressed in the possibility of retraining the machine learning model. The experimental method using machine learning algorithms, namely the ensemble of decision trees, for classifying passwords into strong and potentially compromised by attackers based on flexible password strength criteria, showed high results. The performance of the method is also compared against other machine learning algorithms, specifically XGBoost, Random Forest, and Naive Bayes. The presented approach also solves the problem of detecting events related to the use and storage of credentials in plain text. We used the dataset of approximately 770,000 passwords, allowing the machine learning model to accurately classify 98% of the passwords by their significance levels.
A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method
Authors: Ali Shereen H. , Shehata Mohamed
Published: November 2024

Annually, many people worldwide lose their lives due to breast cancer, making it one of the most prevalent cancers in the world. Since the disease is becoming more common, early detection of breast cancer is essential to avoiding serious complications and possibly death as well. This research provides a novel Breast Cancer Discovery (BCD) strategy to aid patients by providing prompt and sensitive detection of breast cancer. The two primary steps that form the BCD are the Breast Cancer Discovery Step (BCDS) and the Pre-processing Step (P2S). In the P2S, the needed data are filtered from any non-informative data using three primary operations: data normalization, feature selection, and outlier rejection. Only then does the diagnostic model in the BCDS for precise diagnosis begin to be trained. The primary contribution of this research is the novel outlier rejection technique known as the Combined Outlier Rejection Technique (CORT). CORT is divided into two primary phases: (i) the Quick Rejection Phase (QRP), which is a quick phase utilizing a statistical method, and (ii) the Accurate Rejection Phase (ARP), which is a precise phase using an optimization method. Outliers are rapidly eliminated during the QRP using the standard deviation, and the remaining outliers are thoroughly eliminated during ARP via Binary Harris Hawk Optimization (BHHO). The P2S in the BCD strategy indicates that data normalization is a pre-processing approach used to find numeric values in the datasets that fall into a predetermined range. Information Gain (IG) is then used to choose the optimal subset of features, and CORT is used to reject incorrect training data. Furthermore, based on the filtered data from the P2S, an Ensemble Classification Method (ECM) is utilized in the BCDS to identify breast cancer patients. This method consists of three classifiers: Naïve Bayes (NB), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). The Wisconsin Breast Cancer Database (WBCD) dataset, which contains digital images of fine-needle aspiration samples collected from patients’ breast masses, is used herein to compare the BCD strategy against several contemporary strategies. According to the outcomes of the experiment, the suggested method is very competitive. It achieves 0.987 accuracy, 0.013 error, 0.98 recall, 0.984 precision, and a run time of 3 s, outperforming all other methods from the literature.
Raman Handheld Versus Microscopic Spectroscopy for Estimating the Post-Mortem Interval of Human Bones: A Comparative Pilot Study
Authors: Pallua Johannes Dominikus , Louis Christina , Gattermair Nicole , Brunner Andrea , Zelger Bettina , Schirmer Michael , Badzoka Jovan , Kappacher Christoph , Huck Christian Wolfgang , Popp Jürgen , Rabl Walter , Wöss Claudia
Published: November 2024

The post-mortem interval estimation for human skeletal remains is critical in forensic medicine. This study used Raman spectroscopy, specifically comparing a handheld device to a Raman microscope for PMI estimations. Analyzing 99 autopsy bone samples and 5 archeological samples, the research categorized them into five PMI classes using conventional methods. Key parameters—like ν1PO43− intensity and crystallinity—were measured and analyzed. A principal component analysis effectively distinguished between PMI classes, indicating high classification accuracy for both devices. While both methods proved reliable, the fluorescence interference presented challenges in accurately determining the age of archeological samples. Ultimately, the study highlighted how Raman spectroscopy could enhance PMI estimation accuracy, especially in non-specialized labs, suggesting the potential for improved device optimization in the field.
Impact of Multidisciplinary Team Management on Survival and Recurrence in Stage I–III Colorectal Cancer: A Population-Based Study in Northern Italy
Authors: Mangone Lucia , Zizzo Maurizio , Nardecchia Melissa , Marinelli Francesco , Bisceglia Isabella , Braghiroli Maria Barbara , Banzi Maria Chiara , Damato Angela , Cerullo Loredana , Pellegri Carlotta , Morabito Fortunato , Neri Antonino , Fabozzi Massimiliano , Pinto Carmine , Giorgi Rossi Paolo
Published: November 2024

This study aimed to assess whether multidisciplinary team (MDT) management improves outcomes in patients with stage I–III colorectal cancer (CRC) compared to non-MDT care. This study included 460 CRC patients diagnosed from 2017 to 2018 in a northern Italian province, of whom 300 (65%) were managed by MDT. MDT patients were younger, more frequently had rectal cancers, were diagnosed at earlier stages, and were more likely to undergo surgery and chemotherapy. Disease-free survival (DFS) and overall survival (OS) were significantly better in the MDT group. The recurrence rate was 8.5%, with no significant differences between MDT and non-MDT patients, although MDT patients exhibited lower recurrence rates for early-stage tumors. A multivariable analysis showed that DFS and OS were adversely affected by older age, advanced stage, and lack of MDT management. Kaplan–Meier estimates demonstrated a 3-year DFS of 78% in the MDT group versus 65% in the non-MDT group, as well as an OS of 83% versus 69%, respectively. The MDT approach was associated with improved treatment adherence and better management of recurrences. While limited by a small sample size, this population-based study highlights the beneficial impact of MDT care on CRC outcomes. Further research with extended follow-up is warranted to confirm these findings.
Tryptophan Metabolites in the Progression of Liver Diseases
Authors: Reshetova Maria , Markin Pavel , Appolonova Svetlana , Yunusov Ismail , Zolnikova Oksana , Bueverova Elena , Dzhakhaya Natiya , Zharkova Maria , Poluektova Elena , Maslennikov Roman , Ivashkin Vladimir
Published: November 2024

The aim of this study was to investigate the levels of various tryptophan metabolites in patients with alcoholic liver disease (ALD) and metabolic-associated fatty liver disease (MAFLD) at different stages of the disease. The present study included 44 patients diagnosed with MAFLD, 40 patients diagnosed with ALD, and 14 healthy individuals in the control group. The levels of tryptophan and its 16 metabolites (3-OH anthranilic acid, 5-hydroxytryptophan, 5-methoxytryptamine, 6-hydroxymelatonin, indole-3-acetic acid, indole-3-butyric, indole-3-carboxaldehyde, indole-3-lactic acid, indole-3-propionic acid, kynurenic acid, kynurenine, melatonin, quinolinic acid, serotonin, tryptamine, and xanthurenic acid) in the serum were determined via high-performance liquid chromatography and tandem mass spectrometry. In patients with cirrhosis resulting from MAFLD and ALD, there are significant divergent changes in the serotonin and kynurenine pathways of tryptophan catabolism as the disease progresses. All patients with cirrhosis showed a decrease in serotonin levels (MAFLDp = 0.038; ALDp < 0.001) and an increase in kynurenine levels (MAFLDp = 0.032; ALDp = 0.010). A negative correlation has been established between serotonin levels and the FIB-4 index (p < 0.001). The decrease in serotonin pathway metabolites was associated with manifestations of portal hypertension (p = 0.026), the development of hepatocellular insufficiency (p = 0.008) (hypoalbuminemia; hypocoagulation), and jaundice (p < 0.001), while changes in the kynurenine pathway metabolite xanthurenic acid were associated with the development of hepatic encephalopathy (p = 0.044). Depending on the etiological factors of cirrhosis, disturbances in the metabolic profile may be involved in various pathogenetic pathways.
Copy Number Variants in Cardiac Channelopathies: Still a Missed Part in Routine Arrhythmic Diagnostics
Authors: Gnazzo Maria , Parlapiano Giovanni , Di Lorenzo Francesca , Perrino Daniele , Genovese Silvia , Lanari Valentina , Righi Daniela , Calì Federica , Silvetti Massimo Stefano , Falcone Elena , Bauleo Alessia , Drago Fabrizio , Novelli Antonio , Baban Anwar
Published: November 2024

Inherited cardiac channelopathies are major causes of sudden cardiac death (SCD) in young people. Genetic testing is focused on the identification of single-nucleotide variants (SNVs) by Next-Generation Sequencing (NGS). However, genetically elusive cases can carry copy number variants (CNVs), which need specific detection tools. We underlie the utility of identifying CNVs by investigating the literature data and internally analyzing cohorts with CNVs in KCNQ1, KCNH2, SCN5A, and RYR2. CNVs were reported in 119 patients from the literature and 21 from our cohort. Young patients with CNVs in KCNQ1 show a Long QT (LQT) phenotype > 480 ms and a higher frequency of syncope. None of them had SCD. All patients with CNV in KCNH2 had a positive phenotype for QT > 480 ms. CNVs in SCN5A were represented by the Brugada pattern, with major cardiac events mainly in males. Conversely, adult females show more supraventricular arrhythmias. RYR2-exon3 deletion showed a broader phenotype, including left ventricular non-compaction (LVNC) and catecholaminergic polymorphic ventricular tachycardia (CPVT). Pediatric patients showed atrial arrhythmias and paroxysmal atrial fibrillation. Relatively higher syncope and SCA were observed in young females. The detection of CNVs can be of greater yield in two groups: familial channelopathies and patients with suspected Jervell and Lange-Nielsen syndrome or CPVT. The limited number of reported individuals makes it mandatory for multicentric studies to give future conclusive results.
Retention and Transfer of Fractal Gait Training
Authors: Frame Logan J. , Kuznetsov Nikita A. , Raisbeck Louisa D. , Rhea Christopher K.
Published: November 2024

Background/Purpose: Fractal gait patterns have been shown to be modifiable, but the extent to which they are retained and transferred to new contexts is relatively unknown. This study aimed to close those gaps by enrolling participants (N = 23) in a seven-day fractal gait training program. Methods: Building on related work, the fractal gait training occurred on a treadmill over a 10-min period. Before and after the treadmill training, each participant walked for 10 min overground without the fractal stimulus used during training. The daily post-test was used to examine immediate retention and transfer of the fractal gait patterns from the treadmill to overground. The pre-tests in days 2–7 were used to examine the extent to which the fractal gait patterns from the preceding day were retained 24 h later. Inertial measurement units were used to measure stride time so a consistent measurement method could be employed in the treadmill and overground phases of the study. Results: Our results showed that multiple days of treadmill training led to elevated fractal patterns, indicating a positive training effect. However, the positive training effect observed on the treadmill did not transfer to overground walking. Conclusions: Collectively, the data show that fractal patterns in gait are modifiable across multiple days of training, but the transferability of these patterns to new contexts needs to be further explored.
Correction: Chen et al. Heteronemin Suppresses Lymphangiogenesis Through ARF-1 and MMP-9/VE-Cadherin/Vimentin. Biomedicines 2021, 9, 1109
Authors: Chen Hsien-Lin , Su Yu-Chieh , Chen Huang-Chi , Su Jui-Hsin , Wu Chang-Yi , Wang Shih-Wei , Lin In-Pin , Chen Chung-Yi , Lee Chien-Hsing
Published: November 2024

Error in Affiliation [...]
Correction: Sharma et al. Modulation of Renal Injury by Variable Expression of Myo-Inositol Oxygenase (MIOX) via Perturbation in Metabolic Sensors. Biomedicines 2020, 8, 217
Authors: Sharma Isha , Deng Fei , Kanwar Yashpal S.
Published: November 2024

In the original publication [...]
The Notable Role of Telomere Length Maintenance in Complex Diseases
Authors: Lv Jiahui , Zhao Xinmiao , Zhao Linjie , Gong Chengjun , Zheng Wanjie , Guo Li , Wang Jun , Liang Tingming
Published: November 2024

Telomere length function serves as a critical biomarker for biological aging and overall health. Its maintenance is linked to cancer, neurodegenerative conditions, and reproductive health. This review mainly examines genetic variations and environmental influences on telomere dynamics, highlighting key regulatory genes and mechanisms. Advances in telomere measurement methodologies are also reviewed, underscoring the importance of precise telomere assessment for disease prevention and treatment. Telomerase activation offers potential for cellular lifespan extension and anti-aging effects, whereas its inhibition emerges as a promising therapeutic approach for cancer. Regulatory mechanisms of tumor suppressor genes on telomerase activity are analyzed, with a comprehensive overview of the current state and future potential of telomerase inhibitors. In addition, the association between telomeres and neurodegenerative diseases is discussed, detailing how telomere attrition heightens disease risk and outlining multiple pathways by which telomerase protects neurons from damage and apoptosis.
Trends in 3D Printing Processes for Biomedical Field: Opportunities and Challenges: An Editorial Retrospective
Authors: Mozafari M. R.
Published: November 2024

On 8 August 1984, Chuck Hull (Charles W [...]
Neurobiological Changes Induced by Mindfulness and Meditation: A Systematic Review
Authors: Calderone Andrea , Latella Desirée , Impellizzeri Federica , de Pasquale Paolo , Famà Fausto , Quartarone Angelo , Calabrò Rocco Salvatore
Published: November 2024

Background and Objectives: Meditation and mindfulness, rooted in ancient traditions, enhance mental well-being by cultivating awareness and emotional control. It has been shown to induce neuroplasticity, increase cortical thickness, reduce amygdala reactivity, and improve brain connectivity and neurotransmitter levels, leading to improved emotional regulation, cognitive function, and stress resilience. This systematic review will synthesize research on neurobiological changes associated with mindfulness and meditation practices. Materials and Methods: Studies were identified from an online search of PubMed, Web of Science, Cochrane Library, and Embase databases without any search time range. This review has been registered on Open OSF (n) GV2JY. Results: Mindfulness-Based Stress Reduction (MBSR) enhances brain regions related to emotional processing and sensory perception, improves psychological outcomes like anxiety and depression, and exhibits unique mechanisms of pain reduction compared to placebo. Conclusions: This review highlights that mindfulness, particularly through MBSR, improves emotional regulation and brain structure, reduces anxiety, and enhances stress resilience. Future research should focus on diverse populations and naturalistic settings to better understand and optimize these benefits.
Metabolic, Microvascular, and Structural Predictors of Long-Term Functional Changes Evaluated by Multifocal Electroretinogram in Type 1 Diabetes
Authors: Parravano Mariacristina , Fragiotta Serena , Costanzo Eliana , Picconi Fabiana , Giorno Paola , De Geronimo Daniele , Giannini Daniela , Varano Monica , Parisi Vincenzo , Ziccardi Lucia
Published: November 2024

Background: This study aimed to analyze the potential pathogenic connection between metabolic factors, photoreceptor cell rearrangements, retinal microvascular perfusion, and functional parameters through multifocal electroretinography (mfERG) in type 1 diabetes mellitus (DM1). Methods: This prospective observational cohort study enrolled DM1 patients (40.5 ± 9.1 years) with mild nonproliferative diabetic retinopathy followed for 4 years. Patients were subjected to multimodal imaging, which included color fundus photography, optical coherence tomography (OCT), OCT angiography, adaptive optics (AO), and mfERG. OCTA slabs were analyzed using ImageJ software (software version 2.3.0/1.53f) to calculate perfusion density (PD) at both superficial (SCP) and deep (DCP) capillary plexuses, as well as flow deficit percentage (FD%) at the choriocapillaris (CC). To calculate cone metrics on AO at the parafovea, including cone density (CD), linear dispersion index (LDi), and heterogeneity packing index (Hpi%) in the parafovea, the images were post-processed using a MATLAB algorithm. The mfERG P1 implicit time (IT) and N1-P1 response amplitude density (RAD) from R1 (foveal area), R2 (parafoveal area), and the unified rings R1 + R2 were evaluated. Results: A total of 22 patients (22 eyes) were enrolled. No significant differences were noted in central mfERG amplitude and implicit time-averaged values (p > 0.05, all). The main factor influencing R1 IT was HbA1c, while R1 RAD was affected by Hpi and CC FD%. R1 + R2 IT was influenced by Hpi, LDi (p > 0.001, all), and modifications in the perfusion density in the SCP (p < 0.001) and DCP (p = 0.03) at the parafovea. In contrast, R1 + R2 RAD were associated with HbA1c (p = 0.02) and Hpi (p < 0.001). Conclusions: Microvascular changes and glucometabolic factors are key elements influencing the long-term morphofunctional alterations at the photoreceptor level in DM1.
Complex Full-Arch Treatment with Zygomatic Implants, Fully Digital Protocol with Scan Flag Intraoral Scanning, and 3D-Printed Temporary Reconstructions in a Periodontal Patient—A Case Report
Authors: Nowicki Adam , Osypko Karolina
Published: November 2024

Background: The following case report presents the treatment of a patient with severe maxillary atrophy and failing residual dentition. The patient has been diagnosed with stage IV grade C periodontitis, making this case challenging from the very beginning. Methods: The treatment plan was based on collecting and merging digital data: CBCT, a face scan, and an intraoral scan. Due to the advancement of the periodontal disease, the treatment was divided into three stages. The entire process was conducted in a digital manner, based on the concept of prosthetically driven implantology. Additionally, all prosthetic temporaries were planned via digital smile design. Stage I included extracting the residual dentition, placing four implants in the mandible, and the delivery of a 3D-printed upper removable denture. Stage II included placing two zygomatic implants, two anchored piriform rims, and one midline implant. Both arches were immediately loaded with the intraoral welding of abutments screwed to multiunit abutments and 3D-printed shells. Subsequently, in stage III, two milled ceramic superstructures combined with a titanium milled bar were delivered as a final screw-retained restoration with the application of scan flags (horizontal scan bodies) for intraoral scanning. Results: The aforementioned technologies can all be implemented and merged into one complex treatment plan combining high predictability, successful esthetics, and a reliable and accurate end result. Even though the concept of scan flags is relatively new, this case shows its potential and merit. Conclusions: This case represents the power of the digital approach as a helpful tool in the recreation of functional and esthetic smiles in compromised conditions in periodontal patients.
Climate Resilience in Farm Animals: Transcriptomics-Based Alterations in Differentially Expressed Genes and Stress Pathways
Authors: Shashank Chikamagalore Gopalakrishna , Sejian Veerasamy , Silpa Mullakkalparambil Velayudhan , Devaraj Chinnasamy , Madhusoodan Aradotlu Parameshwarappa , Rebez Ebenezer Binuni , Kalaignazhal Gajendirane , Sahoo Artabandhu , Dunshea Frank Rowland
Published: November 2024

The livestock sector, essential for maintaining food supply and security, encounters numerous obstacles as a result of climate change. Rising global populations exacerbate competition for natural resources, affecting feed quality and availability, heightening livestock disease risks, increasing heat stress, and contributing to biodiversity loss. Although various management and dietary interventions exist to alleviate these impacts, they often offer only short-lived solutions. We must take a more comprehensive approach to understanding how animals adapt to and endure their environments. One such approach is quantifying transcriptomes under different environments, which can uncover underlying pathways essential for livestock adaptation. This review explores the progress and techniques in studies that apply gene expression analysis to livestock production systems, focusing on their adaptation to climate change. We also attempt to identify various biomarkers and transcriptomic differences between species and pure/crossbred animals. Looking ahead, integrating emerging technologies such as spatialomics could further accelerate genetic improvements, enabling more thermoresilient and productive livestock in response to future climate fluctuations. Ultimately, insights from these studies will help optimize livestock production systems by identifying thermoresilient/desired animals for use in precise breeding programs to counter climate change.
Spontaneous Intracranial Hypotension and Dural Ectasia in Marfan Syndrome: An Illustrative Case Successfully Treated with Steroid Therapy and Literature Review
Authors: Signorelli Francesco , Ktari Omar , Agostini Ludovico , Ducoli Giorgio , Zeoli Fabio , Visocchi Massimiliano
Published: November 2024

Background: Spontaneous intracranial hypotension (SIH) is a rare and frequently misdiagnosed disorder characterized by a low volume of cerebrospinal fluid (CSF) caused by the leakage of CSF through the spinal dural membrane. Patients with Marfan Syndrome (MS) and other connective tissue disorders are at an increased risk for dural ectasia, which may predispose them to spontaneous CSF leaks due to the structural weakness of their dural membranes. The management of SIH in MS patients is debated. Conservative measures, an epidural blood patch (EBP), and surgical treatments are the options generally provided. Methods: Herein, we report on the case of a 52-year-old female affected by MS, genetically confirmed, with a two-month history of sudden-onset, “thunderclap” headache, worsened in an upright position and horizontal diplopia. A Computed Tomography (CT) scan of the brain showed a bilateral chronic subdural hematoma, slit ventricles, and a caudal descent of the brainstem without overt tonsillar herniation. The Magnetic Resonance Imaging (MRI) scan of the whole spine revealed dural ectasia in the lumbosacral area and presacral perineural cyst without extradural CSF collection. The case was successfully managed with bed rest and high-dose corticosteroid therapy. Then, we discuss the pertinent literature, consisting of 25 papers dealing with the treatment of SIH in patients affected by MS. Results: The literature review yielded 25 papers dealing with SIH management in patients with MS, including 28 patients overall; 21 patients underwent EBP, of whom 7 patients had multiple procedures. Overall, in 23 cases (82%), the symptoms improved. In three cases, the patients were managed conservatively with bed rest. In three of these cases, there was an improvement. In one case, the surgical fenestration of two lumbar intradural spinal meningeal cysts was performed and the patient improved after the procedure. Our patient underwent 15 days of steroid therapy (dexamethasone iv 12 mg/day for 7 days, then reduced to 4 mg/day) and intravenous hydration (Ringer lactate 1500 mL/day). In ten days, the symptoms disappeared. At the 6-month follow-up, the patient was in good clinical condition, and a CT scan showed an almost complete regression of the bilateral subdural hematoma. Conclusions: The management of SIH in MS patients is still challenging. Patients with connective tissue disorders such as MS are at an increased risk for SIH. Few studies have assessed the management of these patients and different strategies. Our case and the available literature provide further data for this type of case.
The Role of Cognitive Reserve in Post-Stroke Rehabilitation Outcomes: A Systematic Review
Authors: Bertoni Debora , Bruni Stefania , Saviola Donatella , De Tanti Antonio , Costantino Cosimo
Published: November 2024

Background/Objectives: Stroke remains a major cause of disability and death, with survivors facing significant physical, cognitive, and emotional challenges. Rehabilitation is crucial for recovery, but outcomes can vary widely. Cognitive reserve (CR) has emerged as a factor influencing these outcomes. This systematic review evaluates the role of CR in post-stroke rehabilitation, examining whether higher CR is associated with better outcomes. Methods: A systematic search of PubMed, Google Scholar, Scopus, and Cochrane Library databases was conducted for studies published between 2004 and 2024. Studies examining social-behavior CR proxies (e.g., education, bilingualism) and their impact on post-stroke outcomes were included. Data were analyzed using descriptive statistics. The study quality was assessed using the Methodological Index for NOn-Randomized Studies (MINORS) scale. Results: Among 3851 articles screened, 27 met the inclusion criteria. Higher education levels, bilingualism, and engagement in cognitively stimulating activities were associated with better cognitive outcomes and functional recovery. Lower socioeconomic status (SES) correlated with poorer outcomes. Early rehabilitation and dynamic CR proxies showed stronger associations with cognitive recovery than static ones. Conclusions: CR may predict post-stroke rehabilitation outcomes, with education, bilingualism, and active engagement in cognitive activities showing potential benefits. Future research should explore CR’s role alongside factors like lesion location and severity in enhancing recovery.
Effect of Father-Love Absence on Subjective Well-Being: The Mediating Role of Hope
Authors: Peng Wang , Hu Rui , Xiang Yanhui
Published: November 2024

Father love is recognized as an important factor in personal development. While previous research has extensively examined the adverse effects of father-love absence on subjective well-being, it is important to note that these studies often treated subjective well-being as a singular, overarching construct, potentially limiting validity and comprehensiveness compared to a bi-factor model. Consequently, this study aimed to establish a bi-factor model of subjective well-being and investigate its association with father-love absence, considering the mediating role of hope within the theoretical framework of resilience. The study employed a weekly diary method to explore the dynamic adverse effects of father-love absence on weekly subjective well-being, highlighting hope’s role in mitigating these negative impacts. Utilizing a weekly survey method with 470 participants over seven consecutive weeks, multilevel regression modeling revealed that father-love absence significantly and negatively impacts subjective well-being. Further, multilevel mediation modeling demonstrated the mediating role of hope within the resilience framework. This research has significant theoretical and practical implications for enhancing adolescent well-being through increased father involvement in parenting.
Revisiting Eysenck: The Association Between Personality and Acute Stress Reactivity
Authors: Marshall Max J. , Peck Katlyn , Hunter Robin , Totosy de Zepetnek Julia , Fiocco Alexandra J.
Published: November 2024

Eysenck’s biopsychological model of stress posits that the extraversion–introversion distinction is associated with different thresholds of arousal, which in turn moderate the stress response. Although higher thresholds of activation have been reported in the context of physiological stress induction, more contemporary research has resulted in mixed findings. The objective of the current study was to revisit Eysenck’s biopsychological model of stress by examining associations between the two personality dimensions (extraversion–introversion and neuroticism–stability) and stress reactivity in response to the Trier Social Stress Test. A total of 122 participants aged 18 to 80 years were recruited. Participants completed a battery of questionnaires, including a personality questionnaire, and were exposed to the TSST, during which salivary cortisol and galvanic skin responses (GSR) were recorded. People scoring higher on extraversion displayed heightened GSR relative to people scoring lower on extraversion. Furthermore, sex-based analyses suggest that this association was driven by females. No significant associations were found for cortisol or with respect to the neuroticism–stability dimension of personality. These findings highlight the need to take a more nuanced approach to investigating the association between personality and stress reactivity, highlighting the importance of the stress induction protocol and the stress-sensitive system under investigation.
Matching Is Best: Enhancing Effects of Future Orientation and Construal Level on Green Consumption
Authors: Chen Yidi , Liu Qinxin , Shan Shuyu , Jin Cancan
Published: November 2024

The 2024 Report on the Work of the Chinese Government promotes trade in consumer goods and green consumption. Therefore, better understanding is needed of consumer attitudes and behaviors toward environmental protection and sustainable development. The relationships among future orientation, construal level, and green consumption were explored using a delayed-effect design to conduct two surveys at one-month intervals with 160 participants (100 women and 60 men). The results showed that (1) future orientation positively predicted green consumption intention and green consumption behavior, and (2) the construal level significantly moderated the influence of future orientation on green consumption. Specifically, a high construal level and high future orientation predicted the greatest green consumption intention, green consumption behavior, and green consumption decisions, while at a high construal level, future orientation positively predicted green consumption intention and behavior, with a greater tendency to purchase environmentally friendly rather than hedonic products. At a low construal level, future orientation had no significant effect on green consumption intention, behavior, and intention to purchase environmentally friendly products. This study is important for promoting public awareness of the importance of green consumption and encouraging green consumption behaviors to achieve the goals of sustainable development and protect the environment and social well-being.
Deformation Characteristics of Surrounding Rock of Marine Soft Soil Tunnel Under Cyclic Loading
Authors: Xu Wenbin , Liu Yajun , Wu Ke , Zhang Heng , Sun Yindong , Xiao Wenbin
Published: November 2024

Soft marine soil exhibits unique mechanical properties that can lead to significant deformation and instability in the surrounding rock of urban subway tunnels. This presents a critical challenge for tunnel engineering researchers and designers. This thesis investigates the stability characteristics of surrounding rock in marine soft soil tunnels under cyclic loading conditions. Focusing on the shield tunnel segment between Left Fortress Station and Taiziwan Station of Shenzhen Urban Rail Transit Line 12, a discrete–continuous coupled numerical analysis method is employed to examine the deformation characteristics of the surrounding rock. This analysis takes into account the effects of dynamic loads resulting from train operations on the arch bottom’s surrounding rock. The findings indicate that damage to the surrounding rock occurs gradually, with the marine soft soil layer, particularly at higher water content, being prone to substantial plastic deformation. Additionally, under the influence of train vibration loads, the degree of vertical fluctuation in the internal marine soft soil diminishes with increasing depth from the bottom of the tunnel arch. This coupled numerical analysis approach offers valuable insights and methodologies for assessing the structural safety of tunnel projects throughout their operational periods.
Applying Analytical Hierarchy Process (AHP) to BIM-Based Risk Management for Optimal Performance in Construction Projects
Authors: Aladayleh Khaled Jameel , Aladaileh Mohammad J.
Published: November 2024

This study explores integrating Building Information Modeling (BIM) technology into risk management practices for construction projects, aiming to enhance project performance through improved risk identification, assessment, and mitigation. The research employs the Analytical Hierarchy Process (AHP) to prioritize BIM-based strategies across multiple risk management dimensions, including technical, financial, sustainability, and time management. The findings demonstrate that BIM-based financial strategies rank highest among BIM-driven risk management, followed by sustainability and time. In contrast, technical, operation, and maintenance capabilities have the lowest rank. Given the high priority of BIM financial strategies, they have been applied to conduct sensitivity analysis; the sensitivity analysis results demonstrate the dynamic nature of a BIM sub-criteria strategy in response to changes in the weight of financial considerations. As financial concerns diminish, the shift towards sustainability, health, safety, and time efficiency underscores the importance of a more balanced approach in BIM strategy prioritization. BIM-based risk management improves project outcomes by enabling real-time data-driven decision-making, enhancing stakeholder collaboration and optimizing resource use, cost control, and sustainability. This research contributes to theoretical and practical advancements in construction risk management, suggesting that BIM can be a transformative tool for optimizing project performance while addressing the complexities and uncertainties inherent in the construction industry.
Mechanical Characteristics of Grillage Root Foundation for High-Voltage Tower Under Horizontal Conditions
Authors: Ma Zehui , Wang Junjie , Huang Xuefeng , Sun Kun , Yang Senlin , Yuan Jun
Published: November 2024

In response to the issue of reduced horizontal bearing capacity due to inadequate compaction of backfill soil in traditional grillage foundations, a novel grillage root foundation is proposed in this study. That is, the root is introduced into undisturbed soil at a traditional grillage foundation base plate. To assess the applicability of this innovative foundation under horizontal loading conditions, on-site experimental research was conducted. It was employed to comparatively analyze the load–displacement curves, changes in internal forces of steel components, and the development patterns of soil cracks around the foundation between traditional grillage foundations and various sizes of grillage root foundations subjected to horizontal loading. The results indicate that the horizontal bearing capacity of the grillage root foundation increased by 1.3 times compared to traditional grillage foundations, with economic benefits surpassing those of the traditional counterparts. The determination of the “m” value serves as the proportional coefficient of the horizontal resistance coefficient of the foundation soil, and the synthesis of the reactive force provided by the soil to the roots contribute to enhancements in soil resistance and the horizontal bearing capacity of the foundation. The horizontal load at which cracks appear in the grillage root foundation exceeds that of the traditional metal grillage foundation, with a slower rate of development. Finite element analysis was conducted to optimize the arrangement of roots, maximizing the foundation’s bearing capacity. This research provides certain references in terms of enhancing foundation bearing capacity, reducing ground treatment costs, and promoting sustainable development.
Assessing the Moisture Resilience of Wood Frame Wall Assemblies
Authors: Xiao Zhe , Wang Lin , Ge Hua , Lacasse Michael A. , Defo Maurice
Published: November 2024

Resilience has been used as a building performance metric that measures the building’s capability of absorption, response, and recovery from one or a series of disruptive events, e.g., extreme weather events or power outage events. With respect to resilience, in relation to the moisture performance of the building envelope (moisture resilience), this aspect has not yet been thoroughly explored nor defined. Given the expected increase in annual precipitation in certain regions of Canada as induced by climate change effects occurring both currently and in the future, the moisture resilience of building envelops will require immediate attention given that wall assemblies of buildings are predicted to be subjected to excessive moisture loads in the coming years. In this study, the moisture resilience of wood frame wall assemblies to mould growth was described from three aspects: (i) absorption—the ability of the wall to maintain a low level of relative humidity on the OSB; (ii) response—the fluctuation of the relative humidity on the OSB; and (iii) recovery—the rate at which the relative humidity recovers to an acceptable level. The metrics used to demonstrate the relative impact of these factors on moisture performance were also developed. The results have revealed a robust correlation between moisture performance and the relative influence of various newly defined aspects of moisture resilience.
Digital Architectural Form Generation Through Pixel System-Driven Image Feature Information
Authors: An Hee-Sung , Jeon You-Chang , Kim Sung-Wook
Published: November 2024

This study analyzes valuable information (image feature information) from pixel-based images to systematize the form generation process utilizing this information. Information in architecture is mainly used as an analytical tool for functional design optimization. However, the Fourth Industrial Revolution and advances in information and communication technology have positioned information as a core value-creating tool. Consequently, there is a growing need to develop methodologies for effectively applying information to architectural design generation. This study combines digital technology with images, which directly influence architectural design, transforming them into numerical information. By systematizing the three-dimensional form generation process using low-level image feature information, it analyzes the relationship between the characteristics of valuable information and the generated forms. This approach helps identify the interrelationships between the characteristics of valuable information and the generated forms, the complementarity needed to mitigate the limitations of valuable information, and the potential for architectural applications of the three-dimensional form generation methodology utilizing image information. This approach reduces labor and enhances architectural aesthetics by instantly generating diverse early design alternatives. Such research can provide a more logical basis for avoiding intuitive judgments during the design decision-making process. It can also lay the groundwork for information-centric design systems in architecture.