bluuebunny/crossref_metadata_2025 huggingface dataset:
Oncological Treatment Adverse Reaction Prediction: Development and Initial Validation of a Pharmacogenetic Model in Non-Small-Cell Lung Cancer Patients
Authors: Cafiero Concetta , Palmirotta Raffaele , Martinelli Canio , Micera Alessandra , Giacò Luciano , Persiani Federica , Morrione Andrea , Pastore Cosimo , Nisi Claudia , Modoni Gabriella , Galeano Teresa , Guarino Tiziana , Foggetti Ilaria , Nisticò Cecilia , Giordano Antonio , Pisconti Salvatore
Published: February 2025

Background/Objectives: The accurate prediction of adverse drug reactions (ADRs) to oncological treatments still poses a clinical challenge. Chemotherapy is usually selected based on clinical trials that do not consider patient variability in ADR risk. Consequently, many patients undergo multiple treatments to find the appropriate medication or dosage, enhancing ADR risks and increasing the chance of discontinuing therapy. We first aimed to develop a pharmacogenetic model for predicting chemotherapy-induced ADRs in cancer patients (the ANTIBLASTIC DRUG MULTIPANEL PLATFORM) and then to assess its feasibility and validate this model in patients with non-small-cell lung cancer (NSCLC) undergoing oncological treatments. Methods: Seventy NSCLC patients of all stages that needed oncological treatment at our facility were enrolled, reflecting the typical population served by our institution, based on geographic and demographic characteristics. Treatments followed existing guidelines, and patients were continuously monitored for adverse reactions. We developed and used a multipanel platform based on 326 SNPs that we identified as strongly associated with response to cancer treatments. Subsequently, a network-based algorithm to link these SNPs to molecular and biological functions, as well as efficacy and adverse reactions to oncological treatments, was used. Results: Data and blood samples were collected from 70 NSCLC patients. A bioinformatic analysis of all identified SNPs highlighted five clusters of patients based on variant aggregations and the associated genes, suggesting potential susceptibility to treatment-related toxicity. We assessed the feasibility of the platform and technically validated it by comparing NSCLC patients undergoing the same course of treatment with or without ADRs against the cluster combination. An odds ratio analysis confirmed the correlation between cluster allocation and increased ADR risk, indicating specific treatment susceptibilities. Conclusions: The ANTIBLASTIC DRUG MULTIPANEL PLATFORM was easily applicable and able to predict ADRs in NSCLC patients undergoing oncological treatments. The application of this novel predictive model could significantly reduce adverse drug reactions and improve the rate of chemotherapy completion, enhancing patient outcomes and quality of life. Its potential for broader prescription management suggests significant treatment improvements in cancer patients.
Systematic Analysis of Stay-Green Genes in Six Ipomoea Species Reveals the Evolutionary Dynamics, Carotenoid and Anthocyanin Accumulation, and Stress Responses of Sweet Potato
Authors: Zuo Zhidan , Ma Huihui , Li Longteng , Qian Jialin , Zhang Minghui , Li Xiang , Sheng Yeshun , Wang Yuxin
Published: February 2025

Background/Objectives: Stay-green proteins (SGRs) play a vital role in regulating plant chlorophyll degradation and senescence. However, this gene family has not been explored in Ipomoea species and sweet potato. Methods: A total of 19 SGR family genes (SGRs) were identified using Basic Local Alignment Search Tool (BLAST) methods. The proteins’ physiological properties, evolutionary and phylogenetic relationships, conserved domain and motifs, gene structures, collinearity, and promoter cis-elements were systematically analyzed. Moreover, expression patterns and protein interaction network analyses were performed for sweet potato. Results: In this study, we identified 19 SGRs in six Ipomoea species. These SGRs were divided into four subgroups according to their phylogenetic relationships. Domian analysis revealed that SGRs had the conserved “stay-green” domain. Gene structure analysis showed that SGRs had similar structures. The collinearity analysis revealed that the SGRs originated from two genes, with one gene undergoing duplication during evolution history; moreover, the SGRs experienced rearrangement throughout the evolutionary process in the Ipomoea species. Cis-elements related to pigment biosynthesis and hormone and stress responses were found. In addition, expression pattern analysis showed that IbSGRs, especially IbSGR1, IbSGR2, and IbSGR3, might play an important role in pigment accumulation. The SGRs could also respond to stress responses (i.e., cold, drought, and salt) and take part in hormone crosstalk (i.e., abscisic acid (ABA), methyl jasmonate (MeJA), salicylic acid (SA)). Conclusions: Taken together, the findings of this study provide new insights for further understanding the functions of SGRs and candidate genes for pigment accumulation and stress tolerance in sweet potatoes.
Impact of SARS-CoV-2 Infection on Erythropoietin Resistance Index in Hemodialysis Patients
Authors: Gembillo Guido , Soraci Luca , Peritore Luigi , Siligato Rossella , Labbozzetta Vincenzo , Giuffrida Alfio Edoardo , Cuzzola Felicia , Spinella Claudia , Romeo Adolfo , Calabrese Vincenzo , Montesanto Alberto , Corsonello Andrea , Santoro Domenico
Published: February 2025

Background/Objectives: Hemodialysis (HD) patients with advanced chronic kidney disease (CKD) are highly vulnerable to complications from SARS-CoV-2 infection. Anemia management in this population is complex, particularly due to erythropoietin resistance, which may be exacerbated by COVID-19-related inflammation. To this aim, in this small-scale retrospective study, we investigated trends in the erythropoietin resistance index (ERI) over time in patients with and without SARS-CoV-2 infection. Methods: This single-center retrospective study included 25 HD patients, divided into two groups: 15 with a history of SARS-CoV-2 infection (CoV2 group) and 10 without (nonCoV2 group). The ERI was assessed over four visits, with 70–100-day intervals between them. Linear mixed models were used to evaluate factors associated with ERI changes. Results: Patients in the CoV2 group exhibited significantly higher ERI increases between T1 (baseline) and T2 (post-infection) compared to the nonCoV2 group (median ΔERI: +4.65 vs. −0.27, p < 0.001). During the T2–T4 recovery period, CoV2 patients demonstrated a delayed but substantial decline in the ERI, converging to baseline levels by T4. Male sex and hemoglobin levels were negatively associated with the ERI. Conclusions: SARS-CoV-2 infection induces transient but significant erythropoietin resistance in HD patients, likely due to inflammation and disrupted erythropoiesis. Tailored anemia management strategies, including the potential use of hypoxia-inducible factor stabilizers, are warranted. Larger, multicenter studies are needed to validate these findings and improve treatment protocols.
Efficacy and Safety of Chia Seed Powder, Pea Protein, and Xyloglucan in Patients with Constipation-Predominant Irritable Bowel Syndrome: A Multicenter, Double-Blind, Randomized, Placebo-Controlled Trial
Authors: Armova Mariya , Nikolova Martina Stefanova , Draganov Petar Martinov , Peneva Petya Valentinova , Sabaté Jean Marc , Santos Javier
Published: February 2025

Background/Objectives: Natural compounds represent novel promising alternative treatments for functional gastrointestinal disorders. This multicenter, double-blind, randomized, placebo-controlled, crossover study aimed to evaluate the efficacy and safety of xyloglucan, pea protein, and chia seed powder (XP + CS) in irritable bowel syndrome with constipation (IBS-C). Methods: Sixty patients received twice-daily XP + CS or placebo for 28 days. Following a 28-day washout period, patients switched to the alternative treatment for another 28 days. Efficacy was evaluated using the Bristol Stool Form Scale; a seven-point Likert scale for abdominal pain, bloating, and discomfort; a Visual Analogue Scale for IBS symptom severity; the quality of life (QoL)-IBS questionnaire; Sickness Impact Profile (SIP) score; and serum zonulin concentrations. Adverse events were monitored throughout the study. Results: Compared to the placebo, XP + CS significantly improved stool consistency (p = 0.04 and p < 0.001 at days 15 and 28, respectively), IBS symptoms (p < 0.001 at day 15), QoL (p < 0.001 from day 15 on), and nearly all SIP domains (p < 0.001 at all time-points). Additionally, XP + CS treatment restored serum zonulin concentrations to within normal ranges by day 15. No serious adverse events were reported. Conclusions: This study provides evidence supporting the efficacy and safety of XP + CS in managing IBS-C symptoms.
The Psychological Impact Among Syrian Refugees in Host Countries
Authors: Al-Hourani Dalia , Al-Wriekat Mahmoud , Llamas-Ramos Rocío , Llamas-Ramos Inés
Published: February 2025

Background: Refugees face numerous challenges, including conflict, displacement, family separation, human rights violations, limited access to basic needs, and exposure to violence and torture. These experiences significantly impact their psychological well-being, leading to increased stress, anxiety, and depression. Syrian refugees in Jordan may experience higher levels of depression and anxiety than those in Spain due to harsher living conditions, limited economic opportunities, uncertain legal status, inadequate mental health services, and ongoing proximity to the Syrian conflict, whereas refugees in Spain benefit from better integration, stronger support systems, and greater stability. Objective: This study aimed to assess and compare the psychological symptoms experienced by Syrian refugees in Jordan and Spain. Methods: A cross-sectional correlational design was employed to evaluate the psychological impact on Syrian refugees in both developed (Spain) and developing (Jordan) country. A sample of 200 refugees from camps, residences, and refugee centers was recruited. Psychological symptoms were measured using the Depression Anxiety Stress Scale (DASS-21). Results: The majority of participants had low income, secondary education, and were unemployed. Overall, 55.5% reported stress, 63.5% anxiety, and 68.5% depression. Higher levels of stress and depression were observed among females, unemployed individuals, and low-income groups. Age also played a critical role, with individuals aged 40–49 reporting elevated stress, anxiety, and depression compared with other age groups. Discrimination and living arrangements further influenced mental health, with low-social-connectivity communities and rural areas associated with higher anxiety and depression. Higher levels of stress and depression were observed among females in Spain and significant mental health disparities across age and income groups in Jordan. These findings underscore the need for targeted interventions addressing sociodemographic vulnerabilities to improve refugee mental health outcomes. Refugees in Jordan reported significantly higher levels of depression and anxiety compared with those in Spain. Conclusions: The findings highlight the profound psychological burden faced by Syrian refugees, particularly in Jordan, where living conditions and systemic challenges exacerbate mental health issues. Factors such as age, gender, marital status, low education, and low income were strongly associated with higher stress levels in both countries. These results underscore the need for targeted mental health interventions, improved access to psychological support, and policies that address the socioeconomic and legal challenges faced by refugees. Enhancing integration, reducing discrimination, and providing comprehensive mental health services are critical steps toward improving the well-being of this vulnerable population.
Sensory Disorders and Neuropsychological Functioning in Saudi Arabia: A Correlational and Regression Analysis Study Using the National Disability Survey
Authors: Alotaibi Hind M. , Alduais Ahmed , Qasem Fawaz , Alasmari Muhammad
Published: February 2025

Objectives: This study investigates the prevalence, determinants, and educational implications of sensory disorders in Saudi Arabia. We hypothesize that sociodemographic factors (e.g., gender, marital status), genetic consanguinity, and regional disparities significantly influence sensory health outcomes, including vision, hearing, balance, and social participation, with consequences for learning environments and educational access. Participants: The primary data were analyzed data from 33,575 households across all administrative regions of Saudi Arabia. The sample includes Saudi nationals residing within the Kingdom and those temporarily abroad (e.g., for treatment, study, or tourism) who are considered household members. Households were selected via a stratified random sampling framework, drawing 25 households from each of 1300 statistical areas (out of 3600 total), ensuring nationwide representation aligned with the 2010 Population and Housing Census. Study Method: An observational analysis of secondary data from the nationally representative survey was conducted. Variables included vision, hearing, mobility, personal care, and communication disorders. Statistical methods encompassed chi-square tests for associations and Cramer’s V effect sizes, with regional, gender, and consanguinity-based sub-analyses. Findings: Males exhibited higher mild vision impairments (1.6% vs. 1.0% females; p < 0.001), while females had greater severe hearing disorders (2.3% vs. 1.8%; p < 0.001). Consanguineous groups showed autosomal recessive patterns (e.g., 91,512 mobility issues in first-degree relatives; Cramer’s V = 0.12). Regional disparities emerged, with rural Najran reporting elevated balance/motion deficits (3.1% vs. national 1.9%; p < 0.01). Never-married individuals faced extreme communication barriers (18.4% vs. 8.7% married; p < 0.001). Conclusions: Sensory disorders in Saudi Arabia are shaped by genetic, environmental, and sociocultural factors, with implications for educational access and inclusive learning environments. Gender-sensitive interventions, genetic counseling, and expanded sensory disability metrics are critical for equitable educational policies. Regional programs targeting trauma prevention, chronic disease management, and sensory-friendly accommodations in schools are recommended to address multisensory disorder burdens and enhance educational outcomes.
Research-Induced Distress Among Qualitative Researchers Who Engage in Research on Child Maltreatment: A Qualitative Systematic Review of Risk and Resilience
Authors: Valjee Sachet R. , Collings Steven J. , Rowlett Denise
Published: February 2025

We aimed to review and synthesize the literature on risk and resilience factors for research-induced distress (RID) among qualitative child abuse researchers, with the review guided by the Lippencott-Joanna Briggs Institute methodology for qualitative reviews. We searched Scopus, PsychINFO, MEDLINE, and ProQuest, with two researchers independently reviewing title/abstracts and full-text articles for inclusion, and with additional articles found using citation searches of identified articles and through a perusal of articles in key child abuse and qualitative research journals. We synthesized 30 unique studies, with this synthesis revealing that risk and salutary factors for RID outcomes emanate from all levels of the research ecology and, consequently, that optimal strategies for the primary and secondary prevention of RID could profitably adopt a multi-systemic perspective. Findings from this review provide child abuse researchers and members of academia with a detailed and systematic overview of potential threats and salutary influences for RID that could be used to (1) inform the development of comprehensive pre-research (and ongoing) training programmes for researchers, and (2) guide the development of secondary prevention programmes designed to mitigate RID outcomes. With respect to future research, this review suggests that the focus of research could usefully be extended in order to: (1) provide a more comprehensive perspective on the experiences of researchers living in low- to middle-income countries, and (2) ensure children’s rights to be heard, and to participate in research on matters that affect them, are more comprehensively addressed.
Lactoferrin Stimulates Chondrogenesis and Promotes Healing of the Auricular Elastic Cartilage
Authors: Kurenkova Anastasiia D. , Serejnikova Natalia B. , Sheleg Sofia A. , Fayzullin Alexey L. , Denisov Nikolai E. , Igrunkova Alexandra V. , Sadchikova Elena R. , Antoshin Artem A. , Timashev Peter S.
Published: February 2025

Ear reconstruction surgeries for congenital deformities and trauma are common, highlighting the need for improved cartilage regeneration. Lactoferrin (LF), a natural and cost-effective protein, is promising due to its anti-inflammatory, antimicrobial, and prochondrogenic properties. This study investigates the effects of LF on the viability, proliferation, and chondrogenesis of rabbit auricular chondrocytes. For in vitro studies, auricular chondrocytes were cultured for three passages, after which 3D pellets were formed. LF significantly increased chondrocyte metabolic activity by 1.5 times at doses of 10 and 500 μg/mL. At passage 3, LF at concentrations of 10 and 100 μg/mL increased cell proliferation rates by 2- and 1.5-fold, respectively. Immunohistochemical staining of the pellets demonstrated that LF at 10 μg/mL increased the amount of sex-determining region Y-Box Transcription Factor 9 (Sox9)+ cells by 30%, while at 100 μg/mL, it doubled the type II collagen deposits. For in vivo studies, a rabbit ear defect model was utilized. On post-operative day 60, the LF-treated group exhibited more mature cartilage regeneration, with a higher density of elastic fibers. By day 90 post-surgery, LF application led to the restoration of normal elastic cartilage throughout the defect. These findings suggest that LF promotes auricular chondrocytes chondrogenesis and could be beneficial for tissue engineering of the elastic cartilage.
Oligo-FISH-Based Analysis of the Mechanisms Underlying Chromosome Number Variation in Saccharum spontaneum
Authors: Ran Maoyong , Yu Bo , Cheng Chunxia , Li Xueting , Guo Yirong , Zhao Liping , Zan Fenggang , Lin Xiuqin , Hou Xiao , Zhao Yong , Liu Jiayong , Deng Zuhu
Published: February 2025

Interspecific hybridization serves as a crucial strategy for innovating sugarcane germplasms. Currently, nearly all modern sugarcane varieties that incorporate genetic material are derived from Saccharum spontaneum. The number of chromosomes in S. spontaneum ranges from 40 to 128, contributing significantly to the diversity of its genetic resources. However, the genetic mechanisms driving chromosome number variation in S. spontaneum remain to be fully elucidated. Here, oligonucleotide fluorescence in situ hybridization (Oligo-FISH) was conducted to identify individual chromosomes and explore chromosome transmission during the intraspecific hybridization of S. spontaneum. The results indicate that from the progenies generated from S. spontaneum Yunnan2017-22 (2n = 8x = 64) and Yunnan82-1 (2n = 8x = 64) emerged two distinct karyotypes, 2n = 12x = 96 (A1) and 2n = 8x = 64 (A2, A33-1, A18). This implies that the chromosome inheritances were 2n + n and n + n in the progenies. However, self-pollinated samples of A1 (2n = 12x = 96) produced normal offspring C1 (2n = 94) and C2 (2n = 96). The 2n + n inheritance pattern did not continue. In another cross, the progenies derived from S. spontaneum Yunnan2017-41 (2n = 8x = 64) and Yunnan8 (2n = 10x = 80) carried a karyotype of 2n = 9x = 72, with n + n inheritance mode. These findings highlight the existence of two chromosome inheritance modes, 2n + n and n + n, in the context of the intraspecific hybridization of S. spontaneum. Additionally, hybridization between different ploidy S. spontaneum was also accompanied by chromosomal translocations (A1, A2, A18, A18) and loss (A2, A33-1, AA-4, and C2) that further resulted in the complexity of the S. spontaneum genome. Together, these findings highlight diverse chromosome inheritance in S. spontaneum hybridization, and provide a theoretical foundation for the further utilization of S. spontaneum germplasm in sugarcane breeding.
TGF-β1 Mediates Novel-m0297-5p Targeting WNT5A to Participate in the Proliferation of Ovarian Granulosa Cells in Small-Tailed Han Sheep
Authors: Ren Siyu , Liu Yuan , Guo Yajing , Zhao Zhihui , Cui Jingjing , Li Mingna , Wang Jiqing
Published: February 2025

MiRNAs regulate follicle development and atresia, steroid production, granulosa cell (GC) proliferation, and apoptosis. However, the target genes and the functioning of novel miRNAs remain unexplored. We reveal the targeting relationship between novel-m0297-5p and WNT5A and the specific regulatory mechanism of GC proliferation in small-tailed Han sheep using whole transcriptomic sequencing. We performed whole transcriptomic sequencing on small-tailed Han sheep ovarian GCs supplemented with 10 ng/mL of transforming growth factor-β1 (TGF-β1) during the early stages. This led to identifying the differential expression of novel-m0297-5p and Wnt family member 5A (WNT5A) and predicting their targeting relationship. Based on this, we hypothesized that TGF-β1 could mediate novel-m0297-5p targeting WNT5A to participate in the proliferation process of GCs in small-tailed sheep. We confirmed the relationship between TGF-β1 and both novel-m0297-5p and WNT5A. The mimicry of novel-m0297-5p inhibited GC activity and proliferation. However, the inhibition of novel-m0297-5p yielded the opposite effect. We validated the binding site for novel m0297-5p within the 3′UTR of WNT5A using dual-luciferase reporter gene. TGF-β1 alleviated the impact induced by the mimicry of novel-m0297-5p on cell viability. Inhibitor co-transfection for both novel-m0297-5p and si-WNT5A suppressed the granulocyte proliferation induced by novel-m0297-5p inhibition. These findings suggest that TGF-β1 can mediate the inhibitory effect of novel-m0297-5p targeting WNT5A on GC proliferation and activity in small-tailed Han sheep. This study provides an experimental basis for research on the biological function of GCs and their impact on follicle development.
Intentionally Fusing Direct Manipulations into SVG Programs
Authors: Zan Tao , Zhang Xing , He Xiao , Hu Zhenjiang
Published: February 2025

Bidirectional live programming is a programming paradigm that enhances the developer experience by allowing direct modifications to the output, with changes instantly reflected back to the source program. Existing operation-based approaches allow modifying the constant values and expressions of programs, while they lack control over modifications originating from multiple updatable locations. To control the updatability of the source program, our approach introduces non-updatable expressions, which guide the fusion of updates to the intended locations. The correctness properties, GetPut and WeakPutGet, ensure output consistency. We have implemented a prototype, FuseSVG, and tested it with 14 nontrivial SVG-drawing benchmarks, demonstrating the effectiveness of our approach.
Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression
Authors: Dash Yajnaseni , Gupta Vinayak , Abraham Ajith , Chandna Swati
Published: February 2025

The advancement of technology has ushered in remote sensing with the adoption of high-altitude infrared thermal object detection to leverage the distinct advantages of high-altitude platforms. These new technologies readily capture the thermal signatures of objects from an elevated point, generally unmanned aerial vehicles or drones, and thus allow for the enhancement of the detection and monitoring of extensive areas. This study explores the application of YOLOv8’s advanced architecture, as well as dynamic magnitude-based pruning techniques paired with non-maximum suppression for high-altitude infrared thermal object detection using UAVs. The current research addresses the complexities of processing high-resolution thermal imagery, where traditional methods fall short. We converted dataset annotations from the COCO and PASCAL VOC formats to YOLO’s required format, enabling efficient model training and inference. The results demonstrate the proposed architecture’s superior speed and accuracy, effectively handling thermal signatures and object detection. Precision–recall metrics indicate robust performance, though some misclassification, particularly for persons, suggests areas for further refinement. This work highlights the advanced architecture of YOLOv8’s potential in enhancing UAV-based thermal imaging applications, paving the way for more effective real-time object detection solutions.
The Role of Creative Mindsets in the Relationship Between Metacognitive Experience and Divergent Thinking: A Metacognitive Perspective
Authors: Jia Xiaoyu , Li Ping , Li Weijian
Published: February 2025

Metacognition is vital for creativity; however, the specific contributions of its components (i.e., metacognition knowledge, metacognition experience, and metacognition monitoring and control) have received varying levels of attention, particularly due to the limited research on metacognitive experience. Additionally, the interactions among these components in influencing creative cognition remain unclear. We conducted two experiments to explore the influence of metacognitive experience on divergent thinking (e.g., alternative uses tasks, AUT) and the moderating role of creative mindsets—a core element of metacognitive knowledge—in this process. In Experiment 1, retrieval fluency, measured by the quantity of the ideas generated, was used to activate varying levels of metacognitive experience (fluency vs. disfluency) during the AUT. The findings showed that the originality of ideas generated under the disfluency condition was significantly higher than under the fluency condition, suggesting a positive effect of metacognitive disfluency experience on AUT. In Experiment 2, a multiple-choice task was used to prime individuals’ creative mindsets (entity vs. incremental). The results indicated that individuals with a creative growth mindset exhibited greater cognitive persistence under the disfluency condition, subsequently enhancing the originality of their ideas, indicating that creative mindsets moderate the effect of metacognitive disfluency experience on AUT performance via cognitive persistence. We integrated previous findings to describe the interactive impacts of creative mindsets, metacognitive experience, and metacognitive monitoring and control on divergent and convergent creative thinking processes within a metacognitive framework, providing a model to reveal the dynamic interplay of metacognitive processes in creative cognition. Practically, fostering individuals’ growth-oriented creative mindsets may represent a promising avenue for creativity development.
SinGAN-Labeler: An Enhanced SinGAN for Generating Marine Oil Spill SAR Images with Labels
Authors: Wang Bin , Chen Lei , Song Dongmei , Chen Weimin , Yu Jintao
Published: February 2025

Deep learning-based SAR oil spill detection faces significant challenges due to limited labeled training data. To address this, we propose SinGAN-Labeler, an enhanced framework that generates high-quality synthetic SAR oil spill images and their labels from minimal input. The model integrates an adaptive module to automate scale parameter optimization, accelerating training, and a hybrid attention module combining spatial, channel, and global contextual mechanisms to enhance feature extraction. By leveraging multi-scale training with diverse receptive fields, the generated images retain critical structural details while ensuring diversity. Experiments demonstrate that detection models trained on synthetic data achieve performance comparable to those using real images. Notably, expanding data sets by fivefold (from 5, 10, and 15 baseline images) improves the UNet++ model’s IoU by 78.2%, 58.5%, and 22.5%, respectively. These results validate SinGAN-Labeler’s capability to mitigate data scarcity and enhance oil spill detection accuracy, particularly under extreme sample limitations.
Knowledge-Guided Reinforcement Learning with Artificial Potential Field-Based Demonstrations for Multi-Autonomous Underwater Vehicle Cooperative Hunting
Authors: Wang Yang , Wang Weiye , Chen Deshan
Published: February 2025

Multi-AUV cooperative hunting requires autonomous underwater vehicles (AUVs) to strategize the encirclement of evaders while navigating around obstacles and other AUVs. Despite the promise of multi-agent reinforcement learning (MARL) in continuous control problems, its low sample efficiency poses a challenge in unknown environments and complex control scenarios. To overcome these limitations, we present a Knowledge-Guided Reinforcement Learning (KG-RL) approach, which integrates an Artificial Potential Field (APF) to enhance sample efficiency and operational safety. Our methodology is bifurcated into pre-training and fine-tuning phases. During the pre-training phase, an APF is employed to generate a concise set of demonstration trajectories that provide agents with foundational knowledge. Subsequently, the fine-tuning phase leverages real-time APF knowledge to direct the learning process, encouraging agents to balance following demonstrated actions with seeking out more optimal solutions. We assess the efficacy of our method through extensive simulations across diverse tasks, demonstrating its ability to expedite the learning process and yield more strategic decision-making. Our approach achieves superior results compared to traditional MARL benchmarks, particularly in learning efficiency, decision quality, and overall performance.
AI in the United Arab Emirates’ Media Sector: Balancing Efficiency and Cultural Integrity
Authors: Hassouni Asma , Mellor Noha
Published: February 2025

This study explores the adoption of AI in the UAE’s creative industries through interviews with nine professionals, primarily Emiratis, from journalism, filmmaking, content creation, and heritage sectors. Their insights shed light on the intricate relationship between technological progress, job stability, and the preservation of cultural integrity. One of the key observations was the dual nature of AI’s impact: while it undeniably enhances operational efficiency and reduces expenses, there are valid concerns regarding the authenticity and quality of AI-generated content and its potential impact on the development and utilization of professional skills within these industries. Despite the UAE government’s strategic initiatives to promote AI adoption, the findings revealed a notable absence of clear guidelines, placing the onus on individuals to proactively navigate the landscape of AI integration. This research challenges the prevailing narratives that often depict the Global South as passive consumers of technology as it highlights the participants’ acute awareness of the inherent biases present in AI technologies, particularly in the representation of their local culture.
Is There a Common Financial Cycle in Systemic Economies?
Authors: Magubane Khwazi
Published: February 2025

Countries such as advanced systemic economies (ASEs) and systemic middle-income countries (SMICs), considering macroprudential policy coordination, must ensure that their financial cycles are sufficiently synchronized. However, differences in the features and significance of financial cycles between ASEs and SMICs pose challenges in determining the extent of their synchronization. Accordingly, this study assesses whether a common financial cycle exists between these types of economies. The point of departure for this analysis is to examine the characteristics of the common financial cycle. To this end, this study employs data on capital flows, credit, house prices, share prices, and policy rates, utilizing the Markov switching dynamic regression model and the dynamic factor model to identify and analyze the cycle. The findings reveal strong evidence of a significant financial cycle, which explains 83% of the total variation across countries. This cycle is characterized by longer durations compared to domestic financial cycles and occurs less frequently than domestic cycles. Moreover, it exhibits high persistence in its contractionary and expansionary phases, with greater volatility in the contractionary phase. Based on these findings, it is recommended that ASEs and SMICs consider establishing a supranational prudential authority to coordinate and oversee macroprudential policy on behalf of the majority. Such an entity should play a proactive role, particularly during contractionary phases, to mitigate systemic risks and enhance financial stability across these interconnected economies.
A Redesigned Physical Laboratory Approach to Aerospace Engineering Structure Education
Authors: Chen Mingtai
Published: February 2025

This paper presents a redesign of the MAE 372 Aerospace Structures Laboratory at North Carolina State University (NCSU), incorporating both traditional laboratory demonstrations and an integrated student project to enhance hands-on learning. The redesign aligns with Accreditation Board for Engineering and Technology (ABET)’s emphasis on engineering education that bridges theoretical learning and practical, real-world experiences. In the redesigned laboratory, students participate in four laboratory demonstrations focused on fundamental structural concepts, followed by a student-led project in which they design and test stiffened panels. A new feature of this redesign is the use of a portable test apparatus for three of the laboratories, streamlining the laboratory setup and reducing costs, providing comparable accuracy between experimental results and theory. The paper outlines the structure of the course, the methodology for redesigning the laboratories, and the educational benefits of the new approach. Cost analyses of equipment and materials are also included, making this paper a valuable resource for educators aiming to implement similar lab redesigns.
Land Use Transition and Regional Development Patterns Under Shared Socioeconomic Pathways: Evidence from Prefecture-Level Cities in China
Authors: Zhang Xiaodong , Yang Mingjie , Guo Rui , Li Yaolong , Zhong Fanglei
Published: February 2025

This study evaluates the spatial–temporal evolution of land use intensity and regional development under five shared socioeconomic pathways (SSPs) through prefecture-level projections in China (2020–2050). This study integrates the population–development–environment model with back propagation (BP) neural networks, a supervised learning algorithm, to analyze how differentiated development trajectories reshape land systems. Results reveal distinct pathways: SSP5 (conventional development) and SSP1 (sustainability) achieve high-income thresholds by 2025/2028 with intensive land development, while SSP3 (fragmentation) risks stagnation post-2037 accompanied by inefficient land use. Spatial analysis identifies persistent dualism across the Hu Huanyong Line—83.6% of urban land expansion concentrates in eastern regions, whereas western areas exhibit 56% lower land productivity. By 2050, regional land use efficiency differentials (0.3–4.3% Gross Domestic Product/capita growth) highlight challenges in balancing urban agglomeration and ecological conservation. These findings provide empirical evidence for optimizing land allocation policies during China’s economic transition.
Prediction of Land Use Change and Carbon Storage in Lijiang River Basin Based on InVEST-PLUS Model and SSP-RCP Scenario
Authors: Jing Jing , Wei Feili , Jiang Hong , Chen Zhantu , Lv Shuang , Li Tengfang , Li Weiwei , Tang Yi
Published: February 2025

Global climate change and changes in land use structures during rapid urbanization have profoundly impacted ecosystem carbon storage. Previous studies have not combined different climate scenarios and land use patterns to predict carbon storage. Using scenarios from both the InVEST-PLUS model and SSP-RCP, combined with multi-source remote sensing data, this study takes the Lijiang River Basin as the study area to explore the dynamic changes in land use and carbon storage under different climate scenarios. The findings are as follows: (1) From 2000 to 2020, cultivated and construction land increased, while forest land significantly decreased, lowering from 4331.404 km2 to 4111.936 km2. This land use change mainly manifests in the significant transformation of forest land into cultivated and construction lands. Under different climate scenarios, the cultivated and construction lands will continue to expand, the forest land will decrease, and the grassland area will increase. (2) Total carbon storage decreased significantly from 2000 to 2020, with forest carbon storage changing the most significantly, for a total reduction of 5,540,612.13 tons, followed by grassland and water area. Regardless of the future scenario, the total carbon storage in the Lijiang River Basin will experience a decreasing trend; the decline in carbon reserves is most significant in the SSP585 scenario and smallest in the SSP126 scenario, with slight increases even appearing in some regions. (3) From the perspective of land use change, the large-scale expansion of construction land in the process of rapid urbanization has occupied a large amount of ecological land, such as forests and grasslands, and this is the main reason for the reduction in total carbon storage in the basin. From the perspective of climate change scenarios, a global temperature increase caused by a high-emission scenario (SSP585) may exceed the optimal growth temperature for some plants, inhibit the carbon absorption capacity of vegetation, and thus reduce the carbon fixation capacity of forest land and grassland. Therefore, to maintain long-term climate goals and sustainable development, the SSP126 scenario should be prioritized to strengthen the protection of forest resources in the northern and central regions of the Lijiang River Basin, balance the relationship between ecological protection and urbanization, avoid the occupation of ecological land by excessive urbanization, and improve the carbon sink potential of the basin. These research results can provide a scientific basis for the optimization of land spatial patterns, ecological restoration and protection, and the enhancement of carbon sink potential in the Lijiang River Basin under the “double carbon” goal.
Neurological and Olfactory Disturbances After General Anesthesia
Authors: Maniaci Antonino , Lentini Mario , Trombadore Rosario , Gruppuso Loris , Milardi Santo , Scrofani Rosario , Cuttone Giuseppe , Sorbello Massimiliano , Modica Rodolfo , Lechien Jerome R. , Boscolo-Rizzo Paolo , Paternò Daniele Salvatore , La Via Luigi
Published: February 2025

Neurological and olfactory disturbances are increasingly recognized as potential complications of general anesthesia, particularly in vulnerable populations, such as the elderly, children, and individuals with comorbidities. Recent studies have highlighted the need for tailored anesthetic approaches in these high-risk groups to mitigate potential long-term effects. These disturbances, including postoperative cognitive dysfunction, delirium, and olfactory deficits, often arise from shared pathophysiological mechanisms, such as neuroinflammation, oxidative stress, and disruptions in cerebral perfusion. The olfactory system is particularly susceptible to anesthesia-induced neurotoxicity given its proximity to central nervous system structures and its role in sensory and cognitive processing. Furthermore, the unique regenerative capacity of olfactory neurons may be compromised by prolonged or repeated exposure to anesthetic agents, potentially leading to long-term olfactory dysfunction. Risk factors, such as advanced age, neurodegenerative diseases, diabetes, cardiovascular conditions, genetic predispositions, and the type and duration of anesthesia exposure, further exacerbate these complications. Preventive strategies, including comprehensive preoperative risk assessment, personalized anesthetic protocols based on genetic and physiological profiles, and proactive postoperative care with early intervention programs, are critical for reducing impairments and improving long-term patient outcomes. Emerging evidence highlights the potential role of neuroprotective agents, such as antioxidants and anti-inflammatory therapies, in mitigating the effects of anesthesia-induced neurotoxicity. Longitudinal studies are needed to evaluate the long-term effects of anesthesia on cognitive and sensory health, particularly in high-risk populations. These studies should incorporate advanced neuroimaging techniques and biomarker analysis to elucidate the underlying mechanisms of anesthesia-induced neurological and olfactory disturbances. This narrative review provides a comprehensive overview of the mechanisms, risk factors, and preventive strategies for neurological and olfactory disturbances after general anesthesia and highlights future directions for research to improve patient outcomes. We conducted a comprehensive literature search using databases, such as PubMed and Scopus, to identify relevant studies.
Cytological Analysis of Upper Respiratory Tract Epithelial Cells in Chrysotile Asbestos Factory Workers
Authors: Otarov Yertay , Zharylkassyn Zhengisbek , Shaibek Altynay , Mukasheva Manara , Sabirov Zhanbol , Alexeyev Alexey , Izdenov Asset , Ismailov Chingiz , Tilemissov Magzhan , Dossybayeva Gulzhan , Zhaketayeva Nurzhamal , Shaikhattarova Ulbala
Published: February 2025

Objective: This study aims to assess the impact of prolonged occupational exposure to chrysotile asbestos on the epithelial cells of the upper respiratory tract and the levels of surfactant protein D (SP-D) in female workers. Methods: Buccal epithelial cell samples were collected from 40 workers at JSC “Kostanay Minerals”, fixed using the May–Grünwald method, and stained with the Romanowsky–Giemsa technique. SP-D levels were measured using an enzyme-linked immunosorbent assay (ELISA). Results: Workers exposed to asbestos dust exhibited a significant increase in cytological abnormalities and higher SP-D levels compared to the control group. Conclusion: Prolonged exposure to chrysotile-containing dust leads to degenerative changes in upper respiratory tract epithelial cells, characterized by cytological and cytogenetic abnormalities, alongside elevated SP-D levels, highlighting the need for preventive health measures.
A Study on the Design of a Variable Power Electromagnetic Brake for Industrial Applications
Authors: Park Ye-Ji , Lee Jae-Kwang , Lee Ki-Doek , Jung Dong-Hoon
Published: February 2025

This paper discusses a permanent-magnet electromagnetic brake for the semiconductor process of hollow integrated modules. This permanent-magnet electromagnetic brake is characterized by permanent magnets arranged at the bottom of the stator and coils positioned in the middle portion of the stator. The attractive force is generated by the magnetic energy from the permanent magnet, and to counteract the holding force, a current must be applied to the coils. In the case of a permanent-magnet electromagnetic brake, the maximum holding force that can be generated is fixed by the permanent magnet inserted at the bottom, and even if the load conditions vary, the holding force cannot be altered. This study investigated a method to secure an additional holding force by inducing iron losses at the moment when the holding force is required through improvements in the structure of both the stator and rotor of a permanent-magnet electromagnetic brake. To validate the feasibility of this study, prototypes of permanent-magnet brakes were fabricated, and dynamometer tests were conducted.
Predicting Red Blood Cell Transfusion in Elective Cardiac Surgery: A Machine Learning Approach
Authors: Lau Beatriz , Ramos Daniel , Afreixo Vera , Silva Luís M. , Tavares Ana Helena , Felgueiras Miguel Martins , Castro Paupério Diana , Firmino-Machado João
Published: February 2025

The benefits of Patient Blood Management can vary depending on a patient’s risk profile for requiring a blood transfusion. The objective of this study is to develop and analyse machine learning models that can identify patients at risk of requiring red blood cell transfusion. This retrospective cohort study was conducted at a tertiary northern Portuguese hospital between 2018 and 2023. Two machine learning algorithms, extreme gradient boosting and neural networks, were employed due to their efficiency in handling complex feature interactions. Shapley additive explanations values were analysed to assess the contribution of each feature to the predictions generated by the models. The neural network achieved an accuracy of 0.735 and an area under the receiver operating characteristic curve of 0.798 (95% CI 0.747 to 0.849). The extreme gradient boosting model achieved an accuracy of 0.700 and an area under the receiver operating characteristic curve of 0.762 (95% CI 0.707 to 0.817). An analysis of Shapley additive explanations values revealed that the most important variable was preoperative haemoglobin levels, which can be optimised through the Patient Blood Management approach. These machine learning models demonstrate the potential to improve the accuracy of transfusion prediction at hospital admission, despite the absence of key variables such as surgeon identity and anaemia diagnosis.
Intravesical BCG: A Double-Edged Sword? The Untold Story of Infection Risks
Authors: Barkay Orçun , Keskin Ercüment
Published: February 2025

Background and Objectives: Intravesical Bacillus Calmette-Guérin (BCG) therapy remains a cornerstone in the treatment of non-muscle-invasive bladder carcinoma due to its efficacy in reducing recurrence and progression rates. However, its use is associated with various complications—including urinary tract infections (UTIs)—which necessitates further exploration. This study aims to analyze UTIs occurring during intravesical BCG treatment, emphasizing the microbial spectrum, resistance patterns, and risk factors from an infectious diseases and clinical microbiology perspective. Materials and Methods: A retrospective analysis was conducted on 240 patients diagnosed with non-muscle-invasive bladder carcinoma who received intravesical BCG therapy between 2010 and 2021. Data were collected from hospital records, including demographic characteristics, comorbidities, number of intravesical BCG cycles, and microbiological findings. UTIs were classified based on susceptibility patterns, and statistical analyses were performed to determine associations between clinical variables and UTI risk. Results: UTIs developed in 39.1% (n = 94) of patients, with 25.8% (n = 62) caused by susceptible pathogens and 13.3% (n = 32) by resistant pathogens. The most common causative agent was Escherichia coli (80.7% in susceptible UTIs, 43.8% in resistant UTIs), followed by Pseudomonas aeruginosa and Klebsiella pneumoniae. The presence of diabetes mellitus and chronic kidney disease significantly increased the risk of developing a UTI (p < 0.05). A higher number of intravesical BCG cycles correlated with increased UTI occurrence (p < 0.001). Serum C-reactive protein (CRP) levels were significantly elevated in patients with resistant UTIs, while procalcitonin levels were not a reliable predictor of UTI occurrence. Conclusions: Intravesical BCG therapy is associated with a significant incidence of UTIs, particularly among patients with predisposing comorbidities. The increasing prevalence of antibiotic-resistant infections underscores the need for careful monitoring and targeted antimicrobial stewardship strategies. CRP may serve as a useful adjunctive marker for UTI diagnosis in this setting. Future studies should focus on optimizing infection control measures and refining diagnostic criteria to differentiate between BCG-related inflammation and infectious complications.