bluuebunny/crossref_metadata_2025 huggingface dataset:
Review of Psychological Interventions in Oncology: Current Trends and Future Directions
Authors: Anghel Teodora , Melania Bratu Lavinia , Costea Iuliana , Albai Oana , Marinca Amalia , Levai Codrina Mihaela , Hogea Lavinia Maria
Published: February 2025

Background and Objectives: Cancer imposes a profound burden on both physical and psychological health, particularly at advanced stages, which are associated with a poor prognosis and heightened emotional distress. Psychotherapeutic interventions have gained recognition for their role in alleviating distress, enhancing the quality of life, and supporting a holistic approach to cancer care. This review examines the effectiveness of psychotherapeutic interventions in improving psychological well-being in cancer patients. Materials and Methods: Conducted as a literature review following PRISMA guidelines, this study analyzed experimental research on psychotherapeutic interventions for cancer patients published in the past decade. Literature searches were performed in PubMed, Google Scholar, the Cochrane Library, Web of Science, PsycINFO, and Consensus, supplemented by manual reference checks. The inclusion criteria focused on randomized controlled trials (RCTs). Results: The analysis included 20 RCTs spanning over three decades, evaluating interventions such as individual meaning-centered psychotherapy (IMCP), Mindfulness-Based Cognitive Therapy (MBCT), and supportive–expressive group therapy (SEGT). IMCP emerged as being particularly effective in reducing depression, anxiety, and demoralization while enhancing spiritual well-being. MBCT demonstrated significant reductions in the fear of recurrence, while SEGT effectively addressed traumatic stress and fostered social support. Although the survival benefits were inconsistently reported, psychosocial improvements, including an enhanced quality of life and emotional resilience, were consistently observed. The methodological quality varied, with nine studies meeting high-quality standards. Conclusions: Psychotherapeutic interventions, particularly IMCP and MBCT, play a critical role in oncology by alleviating distress, fostering resilience, and improving the quality of life. Integrating these approaches into routine cancer care can ensure a more holistic treatment framework that prioritizes the emotional and psychological needs of patients.
Metabolic Objectives and Trade-Offs: Inference and Applications
Authors: Lin Da-Wei , Khattar Saanjh , Chandrasekaran Sriram
Published: February 2025

Background/Objectives: Determining appropriate cellular objectives is crucial for the system-scale modeling of biological networks for metabolic engineering, cellular reprogramming, and drug discovery applications. The mathematical representation of metabolic objectives can describe how cells manage limited resources to achieve biological goals within mechanistic and environmental constraints. While rapidly proliferating cells like tumors are often assumed to prioritize biomass production, mammalian cell types can exhibit objectives beyond growth, such as supporting tissue functions, developmental processes, and redox homeostasis. Methods: This review addresses the challenge of determining metabolic objectives and trade-offs from multiomics data. Results: Recent advances in single-cell omics, metabolic modeling, and machine/deep learning methods have enabled the inference of cellular objectives at both the transcriptomic and metabolic levels, bridging gene expression patterns with metabolic phenotypes. Conclusions: These in silico models provide insights into how cells adapt to changing environments, drug treatments, and genetic manipulations. We further explore the potential application of incorporating cellular objectives into personalized medicine, drug discovery, tissue engineering, and systems biology.
Enhanced Persistent Luminescence from Cr3+-Doped ZnGa2O4 Nanoparticles upon Immersion in Simulated Physiological Media
Authors: Lee Clement , Park David , Shiu Wai-Tung , Liu Yihong , Liu Lijia
Published: February 2025

Near-infrared persistent luminescence (PersL) nanoparticles (NPs) have great potential in biomedical applications due to their ability to continuously emit tissue-penetrating light. Despite numerous reports on the distribution, biological safety and other consequences of PersL NPs in vitro and in vivo, there has been a lack of studies on the optical properties of these NPs in the physiological environment. In light of this, we investigated the effects of short-term immersion of the prominent Cr3+-doped ZnGa2O4 (CZGO) NPs in a simulated physiological environment for up to 48 h. This paper reports the changes in the structural and optical properties of CZGO NPs after their immersion in a phosphate-buffered saline (PBS) solution for pre-determined time intervals. Interestingly, the luminescence intensity and lifetime noticeably improved upon exposure to the PBS media, which is unusual among existing nanomaterials explored as bioimaging probes. After 48 h of immersion in the PBS solution, the CZGO NPs were approximately twice as bright as the non-immersed sample. X-ray spectroscopic techniques revealed the formation of ZnO, which results in an improvement in observed luminescence.
Perspectives on Diet and Exercise Interaction for Healthy Aging: Opportunities to Reduce Malnutrition Risk and Optimize Fitness
Authors: Moradell Ana , Casajús Jose Antonio , Moreno Luis A. , Vicente-Rodríguez Germán
Published: February 2025

Nutrition and exercise play a pivotal role in counteracting the effects of aging, promoting health, and improving physical fitness in older adults. This perspective study examines their interplay, highlighting their combined potential to preserve muscle mass, cognitive function, and quality of life. The objective is to address gaps in the current understanding, such as the frequent neglect of dietary intake in exercise interventions and vice versa, which can limit their effectiveness. Through a synthesis of the existing literature, we identify key findings, emphasizing the importance of adequate nutritional intake—particularly protein, essential amino acids, and micronutrients—in supporting exercise benefits and preventing sarcopenia and malnutrition. Additionally, supplementation strategies, such as omega-3 fatty acids, creatine, and essential amino acids, are explored alongside the emerging role of the gut microbiota in mediating the benefits of nutrition and exercise. Despite these advances, challenges remain, including determining optimal dosages and timing and addressing individual variability in responses. Personalized approaches tailored to sex differences, gut microbiota diversity, and baseline health conditions are critical for maximizing intervention outcomes. Our conclusions underscore the necessity of integrated strategies that align dietary and exercise interventions to support healthy and active aging. By addressing these gaps, future research can provide actionable insights to optimize health and quality of life in older populations.
Acetoacetate Ameliorates Hepatic Fibrosis by Targeting Peroxisome Proliferator-Activated Receptor Gamma to Restore Lipid Droplets in Activated Hepatic Stellate Cells
Authors: Zhou Ya , Wang Feixia , Hu Mengru , Xia Siwei , Li Yang , Zheng Shizhong , Zhang Feng
Published: February 2025

Background: Hepatic fibrosis (HF) is a progressive liver disease characterized by the activation of hepatic stellate cells (HSCs) and changes in lipid metabolism. Abnormal ketone body (KD) levels, including acetoacetate (AcAc) and beta-hydroxybutyrate (BHB), have been observed in patients with HF, but the mechanisms linking ketone metabolism to fibrosis progression remain unclear. Objectives: This study aimed to investigate the role of AcAc in modulating HSCs activation and its potential mechanisms in HF. Methods: We examined the effects of AcAc on HSCs activation by Western blot analysis and RT-PCR both in vivo and in vitro. The impact of AcAc on lipid droplet accumulation in HSCs was assessed using total cholesterol (TC), triglyceride (TG), and Retinol (RET) kits, along with Nile Red and Oil Red O staining. RT-PCR screening was performed to analyze the expression of genes involved in lipid droplet formation and lipid metabolism. Results: Our findings show that AcAc inhibited HSCs activation by restoring LD levels. Peroxisome Proliferator-Activated Receptor Gamma (PPARγ) was identified as a key regulator through gene screening. AcAc primarily regulated PPARγ expression, and knocking down PPARγ significantly aggravated HF progression. Conclusions: The ability of AcAc to restore LD levels and regulate PPARγ suggests that it may represent a promising therapeutic strategy for HF by inhibiting HSCs activation.
Exploring the Therapeutic Potential of Mitragynine and Corynoxeine: Kratom-Derived Indole and Oxindole Alkaloids for Pain Management
Authors: Alford Ahmed S. , Moreno Hope L. , Benjamin Menny M. , Dickinson Cody F. , Hamann Mark T.
Published: February 2025

The search for effective pain management solutions remains a critical challenge, especially amidst growing concerns over the use of conventional opioids. In the US, opioid-related mortality rates have surged to as many as 80 deaths per 100,000 people in some states, with an estimated economic burden of USD 1.5 trillion annually—exceeding the gross domestic product (GDP) of most US industrial sectors. A remarkable breakthrough lies in the discovery that indole and oxindole alkaloids, produced by several genera within the plant Tribe Naucleeae, act on opioid receptors without activating the beta-arrestin-2 pathway, the primary driver of respiratory depression and overdose deaths. This systematic review explores the pharmacological properties, mechanisms of action, dosing considerations, interactions, and long-term effects of mitragynine and corynoxeine, alkaloids from the Southeast Asian plant Mitragyna speciosa (kratom) and others in the Tribe Naucleeae. Mitragynine, a partial opioid receptor agonist, and corynoxeine, known for its anti-inflammatory and neuroprotective effects, demonstrate significant therapeutic potential for managing diverse pain types—including neuropathic, inflammatory, nociceptive, visceral, and central pain syndromes—with a focus on cancer pain. Unlike traditional opioids, these compounds do not recruit beta-arrestin-2, avoiding key adverse effects such as respiratory depression, severe constipation, and rapid tolerance development. Their distinct pharmacological profiles make them innovative candidates for safer, non-lethal pain relief. However, challenges persist, including the unregulated nature of kratom products, inconsistencies in potency due to crude extract variability, potential for misuse, and adverse drug interactions. Addressing these issues requires establishing standardized quality control protocols, such as Good Manufacturing Practices (GMP), to ensure consistent potency and purity. Clear labeling requirements with dosage guidelines and warnings should be mandated to ensure safe use and prevent misuse. Furthermore, the implementation of regulatory oversight to monitor product quality and enforce compliance is essential. This review emphasizes the urgency of focused research to optimize dosing regimens, characterize the pharmacodynamic profiles of these alkaloids, and evaluate long-term safety. By addressing these gaps, the mitragynine- and corynoxeine-related drug classes can transition from promising plant-derived molecules to validated pharmacotherapeutic agents, potentially revolutionizing the field of pain management.
Exploring Calcium Channels as Potential Therapeutic Targets in Blast Traumatic Brain Injury
Authors: Wachtler Noemi , O’Brien Rory , Ehrlich Barbara E. , McGuone Declan
Published: February 2025

Background/Objectives: Repeat low-level blast exposure has emerged as a significant concern for military populations exposed to explosive events. Blast-Related Traumatic Brain Injury (bTBI) is a unique form of brain trauma with poorly understood molecular mechanisms. Loss of calcium homeostasis has emerged as a mediator of early neuronal dysfunction after blast injury. This review aims to examine the role of calcium signaling in bTBI, focusing on the dual function of calcium channels as mediators and modulators of injury, and to explore therapeutic strategies targeting calcium homeostasis. Methods: We conducted a review of peer-reviewed articles published between 2000 and 2024, using the databases PubMed, Scopus, and EBSCO. Search terms included “blast traumatic brain injury”, “calcium channels”, and “calcium”. Studies investigating intracellular calcium dynamics after bTBI were included. Exclusion criteria included studies lacking evaluation of calcium signaling, biomarker studies, and studies on extracellular calcium. Results: We identified 13 relevant studies, primarily using preclinical models. Dysregulated calcium signaling was consistently linked to cellular dysfunction, including plasma membrane abnormalities, cytoskeletal destabilization, mitochondrial dysfunction, and proteolytic enzyme activation. Studies highlighted spatially compartmentalized vulnerabilities across neurons and astrocytes, suggesting that targeting specific cellular regions, such as the neuronal soma or axons, could enhance the therapeutic outcome. Therapeutic strategies included pharmacological inhibitors, plasma membrane stabilizers, and modulators of secondary injury. Conclusions: Calcium signaling is implicated in the pathophysiology of bTBI. Standardized experimental approaches would reduce variability in findings and improve the understanding of the relationship between calcium channel dynamics and bTBI and help guide the development of neuroprotective interventions that mitigate injury and promote recovery.
Study on the Space Charge Characteristics of Polypropylene Insulation Material Under a Polarity Reversal Electric Field
Authors: Dong Xinhua , Bao Guodong , Wang Wei
Published: February 2025

High-voltage (HV) cables may experience voltage polarity reversal during power adjustment, leading to the accumulation of space charges inside the insulation material and causing distortion of the internal electric field. To characterize the effect of grafting modification on the insulation properties of polypropylene (PP), various electrical properties were characterized. The results show that grafting modification can significantly improve the electrical properties of PP, with PPG-2 exhibiting the best electrical properties. Compared with PP, the breakdown strength of PPG-2 is increased by 39.27%, and the critical electric field is increased by 36.52%. Meanwhile, the charge accumulation inside the PPG-2 is extremely small after voltage polarity reversal. The mechanism of grafting modification to enhance the electrical properties of PP was explained by analyzing the trap characteristics of the samples. This indicates that grafting modification introduces a large number of deep traps within PP, suppressing the injection and migration of charge carriers. The presence of deep traps weakens the charge accumulation and electric field distortion at the interface. In this paper, the optimal monomer and content of grafted PP were determined, and the insulation properties of the cable under operating conditions were analyzed. The research results offer practical guidance for the development of high-performance grafted PP cable insulation materials and the reliability of cable operation.
Advanced Process Control Strategies for Efficient Methanol Production from Natural Gas
Authors: Haque Md Emdadul , Palanki Srinivas
Published: February 2025

Natural gas-to-methanol plants are receiving renewed interest with the significant increase in shale gas availability. Methanol serves as a crucial raw material for producing various industrial and consumer goods as well as key platform chemicals, including acetic acid, methyl tertiary butyl ether, dimethyl ether, and methylamine. In this research, a dynamic model is developed for Natgasoline’s methanol manufacturing plant. A hierarchical control system comprising Dynamic Matrix Control (DMC) and a basic regulatory control loop is constructed using this dynamic model to minimize methanol losses and utility costs under various process upsets. A subspace identification methodology is used to develop rigorous DMCplus controller models. The simulation results in the ASPEN manufacturing software platform show that the DMCplus controller developed in this study can reduce methanol losses by 96% and utility requirements by 40%. The controller is robust to feed flow variations of ±10%. Furthermore, disturbances due to the variation in hydrogen content in the syngas are also successfully rejected by the controller. This hierarchical multivariable control system performs significantly better than the traditional regulatory PID control strategy in optimizing the methanol process under process constraints.
The Study of Interlayer Identification Based on Well Logging Curve Units
Authors: Chen Shoumin , Li Junjian , Lei Yan , Fan Zhi , Suo Ma , Wang Qin , Liu Xiaoqi , Xue Yongchao
Published: February 2025

The distribution of interlayers in reservoirs has a significant impact on the flow of reservoir fluids. Accurate identification of interlayer distribution is crucial for analyzing oil–water migration patterns and formulating optimal development strategies. Current research on interlayers mainly focuses on qualitative analysis, particularly regarding sedimentary environments and petrophysical characteristics. However, research on the quantitative analysis of interlayers is relatively scarce, and most identification methods rely on manual interpretation, which introduces human bias. To address this issue, this paper proposes an automatic interlayer identification method based on logging curve units, in P Oilfield. By analyzing the sedimentary and petrophysical characteristics of argillaceous and calcareous interlayers, along with their logging curve responses, multiple logging curves are integrated into a single comprehensive curve. This enables the automatic identification of both single-well and inter-well interlayers, achieving an identification accuracy of up to 90%. This method effectively improves the accuracy and efficiency of interlayer identification and demonstrates high application potential. Analyzing actual data from the P Oilfield, this study reveals the dominant role of interlayers in controlling the distribution of remaining oil in bottom-water reservoirs. It also summarizes three typical remaining oil distribution patterns: basal oil, dome oil, and cap oil. These findings provide practical guidance for subsequent oilfield development and enhanced recovery. This method not only offers an automated solution for interlayer identification in oilfields but also provides scientific evidence for precise decision-making in oilfield development.
Pre-Stack Nonlinear Direct Exact Inversion of Fracture Parameters in Deep Shale Reservoirs
Authors: Wang Meng , Yu Liang , Guo Tianchao , Song Xiuyan , Zhang Xiaoxin , Rui Yurun
Published: February 2025

A conventional linear pre-stack inversion method under the conventional stationary convolution model is limited by the assumptions of weak formation contrast change and small angle incidence and fails to take into account the amplitude attenuation of seismic wave propagation. Meanwhile, the resolution and precision of oil and gas evaluation and fracture characterization of shale reservoirs under complex geological conditions are low because the compaction and non-connectivity characteristics of deep shale reservoirs are not fully considered. Therefore, porous rock pores are divided into connected pores and disconnected pores. Combined with the effect of compaction on dry rock skeleton, a petrophysical model considering the compaction and pore dysconnectivity of deep shale reservoir is developed. The quantitative relationship between transverse isotropy with a vertical axis of symmetry (VTI) stiffness matrix, rock physical properties, and fracture parameters is established in this model. It provides a more accurate scheme for the original physical modeling of deep shale. This relationship is incorporated into the exact VTI reflection coefficient equation, and a nonstationary convolution operator is derived by using the attenuation theory of seismic wave propagation. A nonstationary pre-stack nonlinear direct inversion method of fracture parameters of shale reservoirs with horizontal fractures is proposed, which Improves the resolution and accuracy of shale reservoir gas bearing and fracture characteristics prediction. It provides a new way to accurately characterize the fracture development and oil-bearing property of shale reservoirs. A model test and field data test verify the effectiveness of this method.
Numerical Simulation of Flame Propagation in a 1 kN GCH4/GO2 Pintle Injector Rocket Engine
Authors: Mereu Alexandru , Isvoranu Dragos
Published: February 2025

Over the last few years, the appeal for using methane as green fuel for rocket engines has been on an increasing trend due to the more facile storage capability, reduced handling complexity and cost-effectiveness when compared to hydrogen. The present paper presents an attempt to simulate the ignition and propagation of the flame for a 1 kN gaseous methane–oxygen rocket engine using a pintle-type injector. By using advanced numerical simulations, the Eddy Dissipation Concept (EDC) combined with the Partially Stirred Reactor (PaSR) model and the Shielded Detached Eddy Simulation (SDES) were utilized in the complex transient ignition process. The results provide important information regarding the flame propagation and stability, pollutant formation and temperature distribution during the engine start-up, highlighting the uneven mixing regions and thermal load on the injector. This information could further be used for the pintle injector’s geometry optimization by addressing critical design challenges without employing the need for iterative prototyping during the early stages of development.
A Novel Case of Cooling and Heating in Rectangular Lid-Driven Cavities: Interplay of Richardson Numbers in Streamlines and Isotherms
Authors: Gonzalez-Zamudio Edgar Alexandro , Olivares-Robles Miguel Angel , Andrade-Vallejo Andres Alfonso
Published: February 2025

The thermal and dynamic behavior of SiO2 nanofluid was studied in a rectangular lid-driven cavity using the finite difference method. A non-adiabatic lid and a hot section at the bottom wall were considered in different heating and cooling cases. Three novel study cases were studied: a standard temperature at Th (heat conduction through the left-side walls), a high hot temperature, 2Th (heat conduction through the left-side walls), and a 2Tc high cold temperature (heat conduction through right-side walls). The Richardson number was varied between 10 and 100, and the lid direction. With a Richardson number of 10, the streamlines in the different cases tended to the formation of a central vortex with small vortices on the side walls, and the isotherms tended to a central one near the lower wall’s heated section and the homogenized temperature in the center of the cavity. At a Richardson number of 100, the streamlines produced a division in the cavity through a central vortex due to the heating of the bottom wall; this affected the isotherms, generating a prominent one in the center of the cavity and others near it. The generating decreased in the temperature near the bottom and top walls but increased in the middle of the cavity. The standard temperature case tended to behave similarly to the high cold temperature case but presented different temperatures, while the high hot temperature case generally maintained a slightly different behavior. These effects were more noticeable with the lid direction opposite X.
Is Emptiness Non-Empty? Jizang’s Conception of Buddha-Nature
Authors: Hung Jenny
Published: February 2025

Jizang (549–623) is regarded as a prominent figure in Sanlun Buddhism (三論宗) and a revitalizer of Nāgārjuna’s Mādhyamaka tradition in China. In this essay, I argue that Jizang’s concept of non-empty Buddha-nature is compatible with the idea of universal emptiness. My argument unfolds in three steps. First, I argue that, for Jizang, Buddha-nature is the Middle Way (zhongdao 中道), which signifies a spiritual state that avoids the extremes of both emptiness and non-emptiness. Next, I explore how and why Jizang believes that Buddha-nature is eternal. I examine Jizang’s notions of intrinsic eternality (dingxing chang 定性常) and conditional eternality (yinyuan chang 因緣常), aiming to demonstrate that his understanding of Buddha-nature as eternal can be framed within the concept of conditional eternality, where Buddha-nature is seen as the objective manifestation of the dharma body. Since this type of eternality aligns with the principle of universal emptiness, Jizang’s assertion that Buddha-nature is eternal is thus compatible with the notion of universal emptiness. Furthermore, I illustrate that Jizang’s theory of eternal Buddha-nature carries practical implications, suggesting that this assertion serves as encouragement rather than being merely an ontological claim.
Sacred Speech and Written Word: Hebrew–Yiddish Diglossia in Hasidic Homiletics
Authors: Reiser Daniel
Published: February 2025

This article examines the complex linguistic phenomenon of Hebrew–Yiddish diglossia within Hasidic homiletic literature, particularly focussing on sermons from the nineteenth and twentieth centuries. While previous scholarship has emphasised Hebrew’s dominance in Hasidic written works, this study demonstrates how Yiddish has played a crucial role in preserving and transmitting Hasidic teachings. Through analysis of primary sources, three distinct models of Hebrew–Yiddish integration are identified: parallel texts in both languages within the same volume, limited Yiddish passages integrated within predominantly Hebrew texts, and a complete amalgamation where the languages become nearly inseparable. Analysis indicates that Hasidic authors and editors deliberately preserved Yiddish elements to maintain the authenticity of the tzaddik’s original oral teachings while adhering to Hebrew’s traditional status in religious literature. This linguistic practice elevated Eastern Yiddish’s cultural position concurrent with similar (but different) developments in Haskalah literature. Furthermore, the study demonstrates how Hasidic literature’s incorporation of spoken Yiddish into sacred texts contributed to the language’s legitimisation as a medium for religious discourse. This examination offers new perspectives on linguistic hierarchies in religious Jewish texts and illuminates how Hasidic literature developed innovative solutions to balance authenticity and tradition in religious writing.
Assessing Sirex noctilio Fabricius (Hymenoptera: Siricidae) Damage in Pine Plantations Using Remote Sensing and Predictive Machine Learning Models
Authors: Hirigoyen Andrés , Villacide José
Published: February 2025

Early detection and monitoring of invasive forest pests are crucial for effective pest management, particularly in preventing large-scale damage, reducing eradication costs, and improving overall control effectiveness. This study investigates the potential of machine learning models and remote sensing at various spatiotemporal scales to assess forest damage caused by the woodwasp Sirex noctilio in pine plantations. A Random Forest (RF) model was applied to analyze Planetscope satellite images of Sirex-affected areas in Neuquén, Argentina. The model’s results were validated through accuracy analysis and the Kappa method to ensure robustness. Our findings demonstrate that the RF model accurately classified Sirex damage levels, with classification accuracy improving progressively over time (overall accuracy of 87% for five severity categories and 98% for two severity categories). This allowed for a clearer distinction between healthy and Sirex-infested trees, as well as a more refined categorization of damage severity. This study highlights the potential of machine learning models to accurately assess tree health and quantify pest damage in plantation forests, offering valuable tools for large-scale pest monitoring.
R-SABMNet: A YOLOv8-Based Model for Oriented SAR Ship Detection with Spatial Adaptive Aggregation
Authors: Li Xiaoting , Duan Wei , Fu Xikai , Lv Xiaolei
Published: February 2025

Synthetic Aperture Radar (SAR) is extensively utilized in ship detection due to its robust performance under various weather conditions and its capability to operate effectively both during the day and at night. However, ships in SAR images exhibit various characteristics including complex land scattering interference, variable scales, and dense spatial arrangements. Existing algorithms are insufficient in effectively addressing these challenges. To enhance detection accuracy, this paper proposes the Rotated model with Spatial Aggregation and a Balanced-Shifted Mechanism (R-SABMNet) built upon YOLOv8. First, we introduce the Spatial-Guided Adaptive Feature Aggregation (SG-AFA) module, which enhances sensitivity to ship features while suppressing land scattering interference. Subsequently, we propose the Balanced Shifted Multi-Scale Fusion (BSMF) module, which effectively enhances local detail information and improves adaptability to multi-scale targets. Finally, we introduce the Gaussian Wasserstein Distance Loss (GWD), which effectively addresses localization errors arising from angle and scale inconsistencies in dense scenes. Our R-SABMNet outperforms other deep learning-based methods on the SSDD+ and HRSID datasets. Specifically, our method achieves a detection accuracy of 96.32%, a recall of 93.13%, and an average level of accuracy of 95.28% on the SSDD+ dataset.
Integrating LiDAR, Photogrammetry, and Computational Fluid Dynamics for Wind Flow Simulations Around Existing Buildings
Authors: Acquah Richard , Misiulis Edgaras , Sandak Anna , Skarbalius Gediminas , Navakas Robertas , Džiugys Algis , Sandak Jakub
Published: February 2025

Integrating LiDAR and photogrammetry offers significant potential for ensuring the accuracy and completeness of the 3D models of existing structures, which are essential for several applications in the architectural, engineering, and construction (AEC) industry. This study has two primary objectives: the first is to demonstrate how LiDAR and photogrammetry complement each other, through the balance of LiDAR’s structural accuracy with photogrammetry’s rich texture data; the second is to validate the quality of the resulting mesh by using it for the CFD simulation of wind flow around a case study building. The integration method, though simple, is optimized to ensure high-quality point cloud registration, minimizing data quality impacts. To capitalize on the advantages of both manual and full point-cloud-based modeling methods, the study proposes a new hybrid approach. In the hybrid approach, the large-scale and simplified parts of the geometry are modeled manually, while the complex and detailed parts are reconstructed using high-resolution point cloud data from LiDAR and photogrammetry. Additionally, a novel region of constraints method (ROCM) is introduced to streamline wind flow simulations across varying scenarios without the need for multiple meshes. The results indicate that the integrated approach was able to capture the complete and detailed geometry of the case study building, including the complex window extrusions. The CFD simulations revealed differences in the wind flow patterns and pressure distributions when compared across different geometry modeling approaches. It was found that the hybrid approach is the best and balances efficiency, accuracy, and computational cost.
Behavioral Monitoring in Transient Ischemic Attack and Stroke Patients: Exploratory Micro- and Macrostructural Imaging Insights for Identifying Post-Stroke Depression with Accelerometers in UK Biobank
Authors: Zawada Stephanie J. , Ganjizadeh Ali , Demaerschalk Bart M. , Erickson Bradley J.
Published: February 2025

To examine the association between post-stroke depression (PSD) and macrostructural and microstructural brain measures, and to explore whether changes in accelerometer-measured physical activity (PA) are associated with PSD, we conducted an exploratory study in UK Biobank with dementia-free participants diagnosed with at least one prior stroke. Eligible participants (n = 1186) completed an MRI scan. Depression was classified based on positive depression screening scores (PHQ-2 ≥ 3). Multivariate linear regression models assessed the relationships between depression and structural and diffusion measures generated from brain MRI scans. Logistic regression models were used to examine the relationship between accelerometer-measured daily PA and future depression (n = 367). Depression was positively associated with total white matter hyperintensities (WMHs) volume (standardized β [95% CI]—0.1339 [0.012, 0.256]; FDR-adjusted p-value—0.039), periventricular WMHs volume (standardized β [95% CI]—0.1351 [0.020, 0.250]; FDR-adjusted p-value—0.027), and reduced MD for commissural fibers (standardized β [95% CI]—−0.139 [−0.255, −0.024]; adjusted p-value—0.045). The odds of depression decreased by 0.3% for each daily minute spent in objectively measured light PA, while each minute spent in sleep from midnight to 6:00 AM was associated with a 0.9% decrease in the odds of depression. This early-stage analysis using a population cohort offers a scientific rationale for researchers using multimodal data sources to investigate the heterogenous nature of PSD and, potentially, identify stroke patients at risk of poor outcomes.
Synthesis of Zeolitic Imidazolate Framework-8 from Waste Electrodes via Ball Milling for Efficient Uranium Removal
Authors: Su Minhua , Zhu Jinyao , Wu Ruoning , Pan Jiaqi , Yang Jingran , Zhao Jiaxue , Chen Diyun , Liao Changzhong , Shih Kaimin , Ma Shengshou
Published: February 2025

Developing a cost-effective approach for the remediation of wastewater containing uranyl [U(VI)] ions is essentially important to ecosystems and human health. In this study, a Zn-based ZIF-8 framework was fabricated from wasted batteries through an environmentally friendly ball milling process featuring a distinct microstructure compared to those synthesized from commercial Zn(II) sources. The as-obtained Zn-based ZIF-8 framework can effectively remove U(VI) ions from water, and a high removal efficiency of up to 99% is achieved across different process parameters, including initial dosage, pH values, and the presence of interfering ions. The superior U(VI) removal performance is attributed to the synergistic effect of microstructural features (e.g., crystallite size, specific surface area and pore diameter) and chemical interaction within the framework of Zn-based ZIF-8, resulting in the formation of the U···N chelates. This study integrates waste upcycling and hazardous U(VI) removal in an environmentally sound way, thereby promoting a circular economy.
Global Patterns of Parental Concerns About Children’s Education: Insights from WVS Data
Authors: Homocianu Daniel
Published: February 2025

Parental concerns about the education of children usually reflect deep-seated anxieties. This study identifies the most influential factors shaping these global concerns based on World Values Survey (WVS) data spanning several decades. Using advanced techniques, including feature selection (Adaptive and Gradient Boosting, Pairwise Correlations, LASSO, Bayesian Model Averaging), mixed-effects modeling, cross-validation procedures, different regressions and overfitting, collinearity, and reverse causality checks together with two-way graphical representations, this study identified three enduring predictors: fear of job loss, fear of war, and respondent age. These findings mainly underline the role of socio-economic and geopolitical stability and security and, in addition, that of generational perspectives in shaping global parental priorities. All three predictors were consistent across seven dataset versions, various subsets considering random (ten-folds) or non-random criteria (different values for socio-demographic variables in mixed-effects models), and distinct feature selection approaches. Secondary influences, including opinions regarding the priority of work in life, other fears, and socio-demographic variables (e.g., gender, number of children, marital and professional status, income, education level, community size, etc.) provided more nuances to this study and additional explanatory power. The findings have implications for designing socio-economically sensitive educational policies that address parental priorities and anxieties in diverse global contexts.
Adaptive Capacity to Climate Change in Pastoral Areas
Authors: Wang Ziwei , Xue Zhichao , Zhang Xuexia , Yan Huimin , Liu Guihuan
Published: February 2025

The warming climate and increasing extreme weather events are transforming ecological backgrounds, which is bringing new challenges to herders’ livelihood in grassland areas. To understand the practical ecological risks and the current resilience situations of herders’ behaviors and government correspondence measures, we built a conceptual framework of community resilience in pastoral areas, selected different kinds of steppes along the ecological gradient (desert steppe, typical steppe and meadow steppe) and took household surveys to recognize the difference in ecological risks and enhancing strategies in different grassland types. The results show that: (1) Herders in desert steppe, with the lowest precipitation and the worst grassland condition, turn out to have more experience in perceiving droughts and mitigating loss from disaster, but received the most attention from government assistance (28.0%) to getting through drought; (2) Typical steppe, with traditionally better pastural husbandry environment, suffered most broadly through droughts (85.7%) and have worst household livestock loss (26.7%) through snow storms; (3) Meadow steppe has the highest catastrophic snow storm ratio (65.0%) and affected ratio (95.0%), but the least assistance from the government (22.22%). The results revealed that originally high ecological vulnerability gradually encouraged herder’s livelihood adaptive capability. However, the government assistance and attention are more inclined to the local original ecological vulnerability. In addition, the increasing extreme climate events are bringing new challenges to adaptive knowledge systems of indigenous herders under good ecological condition. There is a clear need to combine the efforts of local pastoralists, policymakers and scientific community together to construct a more resilient socio-ecological pastoral systems under the global climate change. This research provides an in-depth understanding of community resilience in pastoral areas along the ecological gradient while facing the slow-onset climate change impacts. Practical recommendations on climate risk management and adaptation in pastoral areas are discussed.
Sustainable Integration of Ora-Pro-Nobis (Pereskia aculeata Miller) in Gluten-Free and Lactose-Free Sweet Bread: Impacts on Quality and Functional Properties
Authors: Silva Luciene Dias Santos , Pacheco Flaviana Coelho , Oliveira Thais Odete de , Martins Eliane Mauricio Furtado , Martins Maurilio Lopes , Castro Wellington de Freitas , Felisberto Mária Herminia Ferrari , Leite Júnior Bruno Ricardo de Castro
Published: February 2025

Ora-pro-nobis (OPN) enriches gluten- and lactose-free bread, while improving nutritional quality and sustainability due to its high nutritional value, adaptability to diverse climates, and low resource requirements for cultivation. This study evaluated the impact of incorporating different concentrations of OPN (0–24%) on the physicochemical (e.g., centesimal composition, specific volume, and color analysis), functional (e.g., total phenolic compounds and antioxidant capacity), and sensory quality (e.g., acceptance test and purchase intent) of gluten-free and lactose-free sweet bread. The results revealed that the addition of OPN led to a 63% increase in protein content and a 65% increase in ash content (p < 0.05). Higher OPN concentrations also enhanced the specific volume by up to 35% (p < 0.05), yielding softer and more voluminous loaves. Texture analysis showed reductions in crumb hardness and chewiness by up to 74.8% and 59.4%, respectively (p < 0.05), attributed to OPN’s water retention and gas-trapping abilities during fermentation. Furthermore, OPN addition resulted in a darker crust and a dark green crumb, with a remarkable increase in total phenolic compounds (up to 464%) and antioxidant capacity (up to 503%) (p < 0.05). Sensory evaluations indicated that OPN did not affect the overall impression compared to the control bread (p > 0.05), with all samples achieving purchase intention scores >3.0 points. Thus, incorporating OPN in gluten-free and lactose-free bread not only enhances nutritional and functional properties but also supports sustainable food production, presenting an innovative solution for consumers with dietary restrictions seeking health-oriented, eco-friendly products.
Arc Fault Location for Photovoltaic Distribution Cables Based on Time Reversal
Authors: Su Jingang , Huang Xingwang , Zhang Peng , Pang Xianhai , Liang Yuwei , Zhang Longxiang , Bai Yanfei , Li Yan
Published: February 2025

The direct current (DC) cable serves as the link for energy output in photovoltaic (PV) systems. Its degradation can cause arcs, which easily lead to fire accidents. Locating arc faults, however, is challenging. To cope with it, this paper proposes an arc location method based on time reversal. The method has been tried to locate system fault. However, its application in the arc fault location of photovoltaic systems is seldom discussed and needs further research. For this purpose, the voltage waveforms of an arc fault collected at one of the cable ends is reversed. This transformation derives a symmetrical arc fault signal. Afterwards, the reversed signal is injected back into the cable to trace the fault location, which is a symmetrical process of the arc fault signal travelling from its origin to the detection point. Utilizing the energy-focusing characteristics of time reversal, the position with the highest energy in the derived waveform corresponds to the actual fault location. To verify the proposed method, a DC arc fault test is performed to obtain the wave characteristics. The Paukert arc model is chosen based on the tested result. A PV system containing a DC cable with an arc fault is simulated with Simulink with the affecting factors, i.e., grounded resistance, cable length, fault location and sampling frequency. The simulated results demonstrate that the localization error is within 5% in the worst case.
Pricing Decision-Making Considering Ambiguity Tolerance in Consumers: Evidence from Recycled Building Material Enterprises
Authors: Peng Jie , Zou Yuxi , Zhang Hao , Zeng Lianghui , Wang Yuhan , Li Xingwei
Published: February 2025

Globally, recycled building materials have attracted much attention, but the ambiguity of the use of recycled building materials makes it difficult for the building material remanufacturer (BMR) to compete with the building material manufacturer (BMM). Brand building is an important strategic tool for enterprises to increase product competitiveness. From the new perspective of the supply chain, this paper aims to examine the decision-making behavior of enterprises under two scenarios of consumer ambiguity neutrality and ambiguity tolerance and to analyze the impact of ambiguity tolerance on the pricing decisions of building materials supply chains in a brand-building scenario. This paper constructs a building material supply chain game model consisting of the BMM and BMR, according to the cognitive–affective personality system (CAPS) theory and through the Stackelberg game. The main findings are as follows. (1) Strengthening brand building can mitigate the negative impact of ambiguity tolerance on new product pricing. The selling price of recycled building materials is positively related to ambiguity tolerance. (2) When the BMM has higher brand value, there is a U-shaped trend between profit and ambiguity tolerance at a cost coefficient above the threshold value of 0.61. (3) When the BMR has higher brand value, profit is negatively related to ambiguity tolerance at operational inefficiencies and cost coefficients below the threshold value of 0.45. Otherwise, profits and ambiguity tolerance follow a U-shaped trend. This paper not only expands the research on brand building and ambiguity tolerance but also provides theoretical guidance for enterprises to make effective decisions in response to consumers’ ambiguity psychology.
A Systematic Review of Locomotion Assistance Exoskeletons: Prototype Development and Technical Challenges
Authors: Lin Weiqi , Dong Hui , Gao Yongzhuo , Wang Wenda , Long Yi , He Long , Mao Xiwang , Wu Dongmei , Dong Wei
Published: February 2025

Exoskeletons can track the wearer’s movements in real time, thereby enhancing physical performance or restoring mobility for individuals with gait impairments. These wearable assistive devices have demonstrated significant potential in both rehabilitation and industrial applications. This review focuses on the major advancements in exoskeleton technology published since 2020, with particular emphasis on the development of structural designs for lower-limb exoskeletons employed in locomotion assistance. We employed a systematic literature review methodology, categorizing the included studies into three main types: rigid exoskeleton, soft exoskeleton, and tethered platform. The current development status of robotic exoskeletons is analyzed based on publication year, system weight, target assistive joints, and main effects. Furthermore, we examine the factors driving these advancements and their implications for the field. The key challenges and opportunities that may influence the future development of exoskeleton technologies are also highlighted in this review.
Pore-Forming Protein LIN-24 Enhances Starvation Resilience in Caenorhabditis elegans by Modulating Lipid Metabolism and Mitochondrial Dynamics
Authors: Lan Xinqiang , Yang Mengqi , Wang Jiali , Huang Chunping , Wu Andong , Cui Leilei , Guo Yingqi , Zeng Lin , Guo Xiaolong , Zhang Yun , Xiang Yang , Wang Qiquan
Published: February 2025

The ability to survive starvation is a critical evolutionary adaptation, yet the molecular mechanisms underlying this capability remain incompletely understood. Pore-forming proteins (PFPs) are typically associated with immune defense, where they disturb the membranes of target cells. However, the role of PFPs in non-immune functions, particularly in metabolic and structural adaptations to starvation, is less explored. Here, we investigate the aerolysin-like PFP LIN-24 in Caenorhabditis elegans and uncover its novel function in enhancing starvation resistance. We found that LIN-24 expression is upregulated during starvation, leading to increased expression of the lipase-encoding gene lipl-3. This upregulation accelerates the mobilization and degradation of lipid stores, thereby sustaining energy levels. Additionally, LIN-24 overexpression significantly preserves muscle integrity, as evidenced by the maintenance of muscle structure compared to wild-type worms. Furthermore, we demonstrate that LIN-24 induces the formation of donut-shaped mitochondria, a structural change likely aimed at reducing ATP production to conserve energy during prolonged nutrient deprivation. This mitochondrial remodeling depends on genes involved in mitochondrial dynamics, including mff-1, mff-2, drp-1, and clk-1. Collectively, these findings expand our understanding of PFPs, demonstrating their multifaceted role in stress resistance beyond immune defense. LIN-24’s involvement in regulating metabolism, preserving muscle structure, and remodeling mitochondria highlights its crucial role in the adaptive response to starvation, offering novel insights into the evolution of stress resistance mechanisms and potential therapeutic targets for conditions related to muscle preservation and metabolic regulation.