bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness of Spiritual Intervention in Overcoming Anxiety and Depression Problems in Gynecological Cancer Patients
Authors: Nasution Lina Anisa , Afiyanti Yati , Kurniawati Wiwit 
Published: August 2021

Anxiety and depression are psychological distress that often occurs in gynecological cancer patients. However, there are few studies related to interventions to overcome these problems. The purpose of this study was to determine the effect of a spiritual intervention on anxiety and depression in such cancer patients. The research design was quasi-experimental, employing pretest and posttest on the intervention and the control groups. The total number of respondents was 108 patients, consisting of 54 in each group. The instrument used in the study was the Hospital Anxiety and Depression Scale (HADS). The spiritual intervention consisted of four sessions, namely an introduction and relaxation session, a control session, an identity session, and a relationship and prayer therapy session, held over two weeks. The data analysis showed a change in the mean score of anxiety and depression in the intervention group after the spiritual intervention (p = 0.001). Also, there were differences in the mean scores of anxiety and depression between the intervention and control groups (p = 0.001). The result implies that spiritual intervention can be applied as part of holistic nursing care for cancer patients, especially gynecological ones.Abstrak Efektifitas Intervensi Spiritual dalam Mengatasi Masalah Kecemasan dan Depresi pada Pasien Kanker Ginekologi. Kecemasan dan depresi merupakan gangguan psikologis yang sering terjadi pada pasien kanker ginekologi. Namun, penelitian terkait intervensi dalam mengatasi masalah tersebut belum banyak dilakukan. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh intervensi spiritual terhadap kecemasan dan depresi pada pasien kanker ginekologi. Desain penelitian ini adalah quasi eksperimen menggunakan kelompok intervensi dan kontrol dengan pre-test dan post-test. Jumlah responden sebanyak 108 pasien yang terdiri dari 54 orang di setiap kelompok. Instrumen yang digunakan dalam penelitian ini adalah Hospital Anxiety and Depression Scale (HADS). Intervensi spiritual terdiri dari empat sesi: sesi pengenalan dan relaksasi, sesi kontrol, sesi identitas, dan sesi terapi hubungan dan doa, yang diberikan selama dua minggu. Analisis data menunjukkan adanya perubahan rerata skor kecemasan dan depresi pada kelompok intervensi setelah diberikan intervensi spiritual (p = 0,001). Selain itu, terdapat perbedaan rerata skor kecemasan dan depresi antara kelompok intervensi dan kontrol (p = 0,001). Penelitian ini mengimplikasikan bahwa intervensi spiritual dapat diterapkan sebagai bagian dari asuhan keperawatan holistik pada pasien kanker, terutama yang ginekologi. Kata Kunci: depresi, intervensi spiritual, kanker, kecemasan
Effective Treatment for Primary Locally Aggressive Intermediate and Malignant Soft Tissue Tumors of the Breast
Authors: Parlakgumus Alper , Erdogan Osman , Tas Zeynel Abidin , Toyran Tugba , Turan Umit , Pekoz Burcak Cakır , Irkorucu Oktay 
Published: August 2021

ObjectiveThis study aimed to examine the rare locally aggressive intermediate tumors and malignant primary breast mesenchymal tumors in patients receiving surgical treatment.Summary of background dataLocally aggressive intermediate tumors were subdivided into nonmetastasizing and rarely metastasizing, and the malignant group was subdivided as a single subgroup called able to metastasize. A retrospective examination of surgical notes and clinical charts was carried out reviewing gender, age, symptoms, duration of symptoms, tumor size, clinical presentation, radiation history, kind of surgery undergone, adjuvant radiotherapy, adjuvant chemotherapy, local recurrences, systemic metastases, and mortality.ResultsMitotic index and Ki-67 were statistically different between locally aggressive and malignant groups (P &lt; 0.001). One local recurrence occurred in only 1 patient diagnosed as dermatofibrosarcoma protuberans among all patients. None of the entities showed distant metastasis or mortality. In this result, clear margin of surgery in locally aggressive intermediate group and combination of surgery with radiation therapy in the malignant group was the most important determinant for the prospect of the patients with mean follow-up of 28 months.ConclusionThe main treatment for localized mesenchymal breast tumors is surgery. When the disease is locally advanced or malignant with high mitotic index, radiotherapy with surgery is predominantly used. Targeted therapies are promising with the limited place of chemotherapy.
Review of the application of dual‐energy CT combined with radiomics in the diagnosis and analysis of lung cancer
Authors: Zhang Rongyu , Zheng Hao , Lin Jie , Wang Junna 
Published: February 2025

AbstractLung cancer is one of the most common malignant tumors in the world. Early detection and precise treatment are of great significance to clinical decision‐making and patient prognosis. As an emerging imaging technology, dual‐energy computed tomography (DECT) has increasingly prominent advantages in multi‐parameter and quantitative analysis in assessing the benign and malignant, classification, and prognosis of lung cancer. Radiomics uses an automated high‐throughput method to extract a large number of quantitative features from medical images, quantify tumor heterogeneity, monitor tumor development and prognosis, and provide new ideas for the diagnosis and identification of lung cancer. This article will review the application progress of DECT post‐processing technology combined with radiomics in lung cancer diagnosis, identification, biomarker and gene prediction, and prognosis assessment.
Immune‐Infiltrated Cancer Spheroid Model with Vascular Recirculation Reveals Temporally Dependent and Tissue‐Specific Macrophage Recruitment
Authors: Zhang Feng , Jozani Kimia Asadi , Chakravarty Anushree , Lin Dawn , Hollinger Andrew , Rajasekar Shravanthi , Zhang Boyang 
Published: February 2025

AbstractImmune cell infiltration in tumors has been reported to influence tumor progression and clinical outcomes. Considerable efforts have been made to understand interactions between tumors and the immune system. However, current models are either not comprehensive or limited to short‐term studies. Recognizing thedynamic and long‐term nature of tumor‐immune interactions, an immune‐infiltrated cancer spheroid model is developed by continuously perfusing and recirculating immune cells with gravity‐driven flow through a tubular blood vessel adjacent to a cancer spheroid. Fibroblasts and pericytes are embedded in the gel matrix to support endothelial cells and enhance the vascular barrier. With continuous monocyte recirculation, monocyte adhesion, transendothelium migration, differentiation, and macrophage recruitment into breast carcinoma and hepatoma spheroids is successfully demonstrated over a week. The macrophage recruitment process is temporally dependent and tissue‐specific, leading to the formation of cancer‐macrophage heterospheroids. Elevated secretion of granulocyte‐macrophage colony‐stimulating factor (GM‐CSF), which regulates monocyte recruitment and macrophage activation, is observed in the breast carcinoma model. Increased levels of Interleukin 6 (IL‐6) and Interleukin 8 (IL‐8) are detected, indicating a pro‐inflammatory environment associated with tumor progression and metastasis. This platform provides a valuable framework for investigating immune cell infiltration and differentiation within the tumor microenvironment, supporting the advancement of cancer immunotherapies.
Multifunctional Carbon Quantum Dots for Monitoring and Therapy of Bacterial Infected Wounds
Authors: Qi Wenxin , Liu Yihao , Dong Naijun , Li Mengting , Zhou Jianxin , Xie Yijun , Chang Qing , Luo Benxiang , Celia Christian , Wang Jiao , Zhao Robert Chunhua , Deng Xiaoyong 
Published: February 2025

AbstractBacterial infections in wounds and bacteremia present significant global health challenges, driving the urgent need for innovative alternatives to traditional antibiotics. Here, the development of PEI‐EDTA‐2Na carbon quantum dots (PECDs) synthesized via a hydrothermal method is reported. Synthesis conditions affect PECDs' antibacterial efficacy; those at 180 °C have optimal ‐NH2 functionalization for better adhesion and activity. PECDs are pH ‐ responsive, eradicating bacteria in weakly acidic conditions by disrupting DNA and proteins. Following the resolution of infection, PECDs adapt to neutral and alkaline environments, where they scavenge reactive oxygen species (ROS), reduce inflammation, promote macrophage polarization, and accelerate wound healing. Furthermore, PECDs significantly improve survival in bacteremia models. Their intrinsic fluorescence enables real‐time pH monitoring of wounds, offering a non‐invasive diagnostic tool. Genomic and transcriptomic analyses reveal that PECDs disrupt bacterial metabolism and resistance pathways, while simultaneously supporting antibacterial and anti‐inflammatory responses during tissue repair. This dual functionality—combining therapeutic efficacy in wound healing with antimicrobial and anti‐inflammatory properties in bacteremia—positions PECDs as a versatile platform for smart wound management and an emerging candidate for advanced biomedical applications.
Electrocatalytic Hydrogenation Boosted by Surface Hydroxyls‐Modulated Hydrogen Migration over Nonreducible Oxides
Authors: Xu Shi‐Lin , Wang Wei , Li Hao‐Tong , Gao Yu‐Xiang , Min Yuan , Liu Peigen , Zheng Xusheng , Liu Dong‐Feng , Chen Jie‐Jie , Yu Han‐Qing , Zhou Xiao , Wu Yuen 
Published: February 2025

AbstractThe migration of atomic hydrogen species over heterogeneous catalysts is deemed essential for hydrogenation reactions, a process closely related to the catalyst's functionalities. While surface hydroxyls‐assisted hydrogen spillover is well documented on reducible oxide supports, its effect on widely‐used nonreducible supports, especially in electrocatalytic reactions with water as the hydrogen source, remains a subject of debate. Herein, a nonreducible oxide‐anchored copper single‐atom catalyst (Cu1/SiO2) is designed and uncover that the surface hydroxyls on SiO2 can serve as efficient transport channels for hydrogen spillover, thereby enhancing the activated hydrogen coverage on the catalyst and favoring the hydrogenation reaction. Using electrocatalytic dechlorination as a model reaction, the Cu1/SiO2 catalyst delivers hydrodechlorination activity 42 times greater than that of commercial Pd/C. An integrated experimental and theoretical investigation elucidates that surface hydroxyls facilitate the spillover of hydrogen intermediates formed at the Cu sites, boosting the coverage of active hydrogen on the surface of the Cu1/SiO2. This work demonstrates the feasibility of surface hydroxyls acting as transport channels for hydrogen‐species to boost hydrogen spillover on nonreducible oxide supports and paves the way for designing advanced selective hydrogenation electrocatalysts.
A Green and Efficient Recycling Strategy for Spent Lithium‐Ion Batteries in Neutral Solution Environment
Authors: Xu Zhilong , Ye Long , Yu Yun , Gong Haiqiang , Xiao Zhiming , Ming Lei , Zhang Bao , Yao Zhen , Wang Jiexi , Ou Xing 
Published: February 2025

Traditional acid or/and ammonia leaching techniques are usually applied to extract valuable metals during hydrometallurgical recovery of spent lithium‐ion batteries. However, the excessive and repeated use of acids and bases inevitably increases the environmental burden and safety threats. Herein, considering the advantages of neutral pH solution system in terms of safety and environmental protection, neutral leaching has been pioneeringly proposed to achieve a low‐cost and harmless hydrometallurgical process. Specifically, benefited from the ligand complexation reaction of glycine, the valuable metals can be efficiently leached within neutral environment. More importantly, a strategy of solid‐solid reduction with primary batteries effect is employed to achieve an efficient neutral leaching within rapid time, breaking through the reaction limitation of shrinking core model. As anticipated, an efficient leaching of 99.99% Li, 96.86% Ni, 92.35% Co, and 90.59% Mn could be achieved within 15 minutes, which has extended applications for various kinds of layered cathodes. Therefore, it is sturdily confirmed that the intractable problem, the effective extraction is available only under the aggressive acid/alkali‐ion conditions, is well‐solved within a wild leaching atmosphere. This green and efficient strategy in neutral solution environment opens a new pathway to realize the large‐scale pollution‐free recycling of spent batteries.
Rheology as a Tool to Investigate Anti‐Nucleation in Semicrystalline Polymers
Authors: Tov Orel Shem , Bacharuzi Noy , Dotan Ana L. , Lewitus Dan Y. 
Published: February 2025

ABSTRACTIn semicrystalline polymers, the crystallization process plays a vital role in determining their properties. Differential scanning calorimeter (DSC) is the conventional method for studying crystallization kinetics in polymers but may lack sensitivity in detecting antinucleating phenomena. This work applied a rheological technique to detect the antinucleating effect of 3,4‐dihydroxyhydrocinnamic acid (hydrocaffeic acid [HCA]) on polycaprolactone (PCL). While DSC was useful in detecting HCA's ability to reduce PCL's melting point, it could not detect the polymer's crystallization during the cooling cycle. Adding the nucleating agent dibenzylidene sorbitol (DBS) did not negate HCA's antinucleating effect. Parallel plate rheology revealed that HCA caused a fourfold reduction in solidification time, with Avrami crystallization rate constants changing by 10−3 times. Additionally, polarized optical microscopy visually demonstrated the hindering effect of HCA on PCL crystallization. Analyzing crystallization kinetics by rheological measurements and the Avrami model proved successful in studying the crystallization kinetics of PCL with the antinucleating agent HCA while observing the crystallization process.
Review of the anatomical basis for predicting plutonium alpha particle radiation induced osteogenic cancers
Authors: Miller Scott C. 
Published: February 2025

AbstractPlutonium was discovered and first synthesized in the early 1940's. Several isotopes of plutonium are used in nuclear technologies, 238Pu for heat generation and 239Pu for energy production and weapons. Both isotopes emit alpha particles, which pose a significant radiation hazard when incorporated into the body. Alpha particles emitted during 239Pu decay deposit energy along a very short path in biological tissues (≈45 μm in soft tissues). Thus, defining the anatomical locations of these deposits is essential to identify the cells at risk of radiation damage and potential malignant transformation. Bone is a primary site for plutonium deposition and retention. Plutonium exposures are associated with increases in osteogenic cancers. Plutonium is preferentially deposited on endosteal and endocortical bone surfaces, particularly those surrounded by red versus yellow bone marrow. Red marrow is more vascularized with a sinusoid network, while yellow marrow is largely a closed capillary system. Cancellous bone in red marrow sites has greater bone turnover rates and relatively more plutonium‐related bone cancers than in yellow marrow sites. The relationships of plutonium deposits in bone and potential alpha particle exposures to cells that include osteoclasts, reversal cells, canopy cells, osteoblasts, bone lining cells, and osteogenic progenitors of the basic multicellular unit during bone modeling and remodeling are reviewed. Differences in distributions of 239Pu versus naturally occurring tumors in humans and experimental animals are noted. This review emphasizes the importance of the anatomical locations of plutonium deposition and retention in the skeleton and the potential relative radiation risks from alpha particles to bone cells and their progenitors.
Physiologically based pharmacokinetic model for oxcarbazepine active metabolite to predict pharmacokinetics in paediatric patients with renal impairment and adjust dosages
Authors: Ke Cheng‐jie , Liu Si‐ting , Qian Yu‐die , You Xiang , Lin Rong‐fang , Lin Cui‐hong , Huang Pin‐fang , Lin Wei‐wei 
Published: February 2025

AimsOxcarbazepine (OXC) has been approved as monotherapy or adjunctive therapy for paediatric partial seizures. There are few reports on the pharmacokinetics (PK) of OXC in paediatric patients with renal impairment (RI), especially dosage studies of RI, which are rarely conducted on paediatric patients. This study aimed to predict the PK of OXC in children with RI and to provide recommendations for dose adjustment in this population.MethodsPhysiologically based pharmacokinetic (PBPK) models of the active metabolites of OXC were developed and verified, and their disposition was simulated in populations with or without RI.ResultsA fold error value of less than 2 was observed based on the simulated results from PBPK models for single‐ and multi‐dose administration. Based on the predictions for paediatric patients with moderate, severe, and end‐stage RI, the dose should be adjusted to 50, 40 and 25% of the normal dose, respectively, in children aged 2–5 years; and 50, 30 and 20%, respectively, in children aged 6–17 years.ConclusionsThe developed PBPK model is a valuable tool for predicting the OXC dosage in paediatric patients with RI.
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”
Authors: Maranzano Paolo , Parker Paul A. 
Published: February 2025

ABSTRACTWe contribute to the discussion of the insightful article “Assessing predictability of environmental time series with statistical and machine learning models” by Bonas et al. (2024), in which the authors commend their effort in comparing a wide range of methodologies for the challenging task of predicting environmental time series data. We focus our discussion on two topics of interest to us. First, we consider extensions of the explored methodologies that allow for heteroscedastic error terms. Second, we consider non‐Gaussianity and fitting models on transformed data. For both of these points, we will make use of the authors' supplied code and data in order to extend their examples. Ultimately, we find that modeling of heteroscedasticity error terms has the potential to improve both point and interval estimates for these environmental time series. We also find that the use of transformations to handle non‐Gaussianity can improve interval estimates.
A Closed‐Form Formula for Pricing European Options With Stochastic Volatility, Regime Switching, and Stochastic Market Liquidity
Authors: He Xin‐Jiang , Chen Hang , Lin Sha 
Published: February 2025

ABSTRACTWe consider European option pricing when the volatility of the underlying stock is stochastic and affected by economic cycles. We further assume that market liquidity risks have a significant impact on the price of the stock that is not negligible, and stock prices should be adjusted according to a liquidity discounting factor. For the purpose of option pricing, we transform the established model dynamics under the physical measure into those under a risk‐neutral measure, which forms a foundation in the subsequent closed‐form derivation of the characteristic function. An analytical option pricing formula is then obtained, and numerical tests together with sensitivity analysis are also performed. Through an empirical analysis, we demonstrate that our model, which incorporates stochastic liquidity, significantly outperforms the version with constant liquidity.
LAX phases: A family of novel stable layered materials, informatics‐based discovery
Authors: Alibagheri Ehsan , Khazaei Mohammad , Estili Mehdi , Seyfi Alireza , Mizoguchi Hiroshi , Ohno Kaoru , Hosono Hideo , Vaez Allaei S. Mehdi 
Published: February 2025

AbstractTernary MAX phases, characterized by the chemical formula M₂AX, represent a group of layered materials with hexagonal lattices. These MAX phases have been the subject of extensive experimental and theoretical studies. Formation energy and thermodynamic calculations indicate that MAX phases containing late transition metals, such as Rh, Ru, Pt, Pd, Co, and Ni, are unlikely to form. Here, we introduce an alternative family of orthorhombic and monoclinic materials, the LAX phases, which exhibit similarities to MAX phases in terms of their layered structure and A and X elements. However, LAX materials incorporate late transition metals in place of the early transition metals. Advanced techniques for predicting the crystal structure of materials, coupled with data‐driven materials research and machine learning algorithms, were employed to investigate the stable structures containing transition metals from the last groups of the d‐block elements. The analyses revealed 207 ternary LAX systems that demonstrate robust stability against decomposition, with 100 of these systems showing dynamic stability. An in‐depth examination of the top 10 structures revealed five LAX systems that are phase stable and exhibit superior mechanical properties, outperforming MAX phase counterparts in Young's modulus, stiffness, and hardness. These findings indicate that many LAX phase structures are viable candidates for future synthesis, highlighting the potential of heuristic‐based structure searches in material discovery.image
Investigate the Factors of Land Degradation in Chinese Provinces: An Application of Index Formation and Random Forest
Authors: Tu Zhihui , Huang QingAn , Zhao Xin , Mohammed Kamel Si , Nassani Abdelmohsen A. 
Published: February 2025

ABSTRACTThis study analyzes factors driving land degradation in China from 1996 to 2023, focusing on gross regional product, rural population, coal consumption, and wastewater generation. Using a quantile control random forest model, the findings reveal that economic growth significantly accelerates land degradation, while population, coal consumption, and wastewater management are critical but partially mitigable drivers. Environmental policies implemented post‐2018, particularly following the Paris Agreement, have notably reduced degradation rates. This research provides a novel application of the quantile control random forest model to analyze long‐term land degradation dynamics, offering precise insights into variable impacts across degradation levels. Additionally, it contributes to understanding the effectiveness of post‐2018 environmental policies in mitigating degradation, aligning with global sustainability goals. The study highlights the need for sustainable land use, cleaner energy adoption, and enhanced wastewater management. Future research should explore localized data and broader variables for a deeper understanding of degradation dynamics.