bluuebunny/crossref_metadata_2025 huggingface dataset:
Delayed Onset of Thrombotic Microangiopathy (TMA) upon Prolonged Carfilzomib Therapy in Multiple Myeloma: A Case Report and Comprehensive Review
Authors: Ceglédi Andrea , Király Ágnes , Várkonyi Andrea , Tasnády Szabolcs , Andrikovics Hajnalka , Fekete Mónika , Szabó Bálint G. , Szemlaky Zsuzsanna , Szilágyi Ágnes , Sinkovits György , Prohászka Zoltán , Réti Marienn , Mikala Gábor
Published: December 2024

Background: Thrombotic microangiopathy (TMA) is a potentially life-threatening complication associated with carfilzomib, a proteasome inhibitor approved for treating multiple myeloma. TMA typically presents within the initial months of treatment; however, delayed onset is rare and poses significant diagnostic challenges. Methods: We conducted a retrospective analysis of the medical records of a 47-year-old Caucasian woman diagnosed with IgA kappa myeloma who developed signs and symptoms consistent with TMA eleven months after the initiation of carfilzomib therapy and already in ongoing very good partial remission. Results: The clinical presentation included an acute onset of weakness, dizziness, somnolence, diffuse bruising, oliguria, jaundice, severe thrombocytopenia, and acute kidney injury. An immediate workup raised a strong suspicion for TMA, confirmed by laboratory findings of schistocytosis and complement activation. Following the immediate discontinuation of carfilzomib, the patient underwent 18 plasmapheresis (PEX) sessions and received supportive fresh frozen plasma transfusions, which resulted in the complete remission of TMA symptoms without the need for complement inhibitory therapy. Conclusions: The need for ongoing monitoring for TMA throughout carfilzomib therapy, regardless of treatment duration, is emphasized. Early diagnosis and intervention, including drug discontinuation and the timely initiation of PEX, are crucial for patient recovery.
Characterization and Evaluation of Zero-Order Release System Comprising Glycero-(9,10-trioxolane)-trialeate and PLA: Opportunity for Packaging and Biomedicine Applications
Authors: Alexeeva Olga V. , Konstantinova Marina L. , Siracusa Valentina , Podmasterev Vyacheslav V. , Martirosyan Levon Yu. , Karyagina Olga K. , Kozlov Sergey S. , Lomakin Sergey M. , Tretyakov Ilya V. , Petrova Tuyara V. , Iordanskii Alexey L.
Published: December 2024

Glycerol-(9,10-trioxolane) trioleate (OTOA) is a promising material that combines good plasticizing properties for PLA with profound antimicrobial activity, which makes it suitable for application in state-of-the-art biomedical and packaging materials with added functionality. On the other hand, application of OTOA in PLA-based antibacterial materials is hindered by a lack of knowledge on kinetics of the OTOA release. In this work, the release of glycero-(9,10-trioxolane) trioleate (OTOA) from PLA films with 50% OTOA content was studied during incubation in normal saline solution, and for the first time, the kinetics of OTOA release from PLA film was evaluated. Morphological, thermal, structural and mechanical properties of the PLA + 50% OTOA films were studied during incubation in normal saline and corresponding OTOA release using differential scanning calorimetry (DSC), X-ray diffraction (XRD), Fourier-transform infrared (FTIR) spectroscopy and mechanical tests. It was confirmed by DSC and XRD that incubation in the saline solution and corresponding OTOA release from PLA film does not lead to significant changes in the structure of the polymer matrix. Thus, the formation of more disturbed α’ crystalline phase of PLA due to partial hydrolysis of amorphous zones and/or most unstable crystallites in the PLA/OTOA semi-crystalline structure was observed. The degree of crystallinity of PLA + OTOA film was also slightly increased at the prolonged stages of OTOA release. PLA + 50% OTOA film retained its strength properties after incubation in normal saline, with a slight increase in the elastic modulus and tensile strength, accompanied by a significant decrease in relative elongation at break. The obtained results showed that PLA + 50% OTOA film could be characterized by sustained OTOA release with the amount of released OTOA exceeding 50% of the initial content in the PLA film. The OTOA release profile was close to zero-order kinetics, which is beneficial in order to provide stable drug release pattern. Developed PLA + 50% OTOA films showed a strong and stable antibacterial effect against Raoultella terrigena and Escherichia coli, bacterial strains with multidrug resistance behavior. The resulting PLA + OTOA films could be used in a variety of biomedical and packaging applications, including wound dressings and antibacterial food packaging.
Switchable Solvent for Separation and Extraction of Lignin from Lignocellulose Biomass: An Investigation of Chemical Structure and Molecular Weight
Authors: Li Debao , Qi Letian , Gibril Magdi E. , Xue Yu , Yang Guihua , Yang Mengru , Gu Yujie , Chen Jiachuan
Published: December 2024

Lignin, the most abundant natural aromatic polymer, holds considerable promise for applications in various industries. The primary obstacle to the valorization of lignin into useful materials is its low molecular weight and diminished chemical reactivity, attributable to its intricate structure. This study aimed to treat lignocellulosic biomass using a switchable solvent (DBU–HexOH/H2O) derived from the non-nucleophilic superbase 1,8-diazabicyclo [5.4.0]undec-7-ene (DBU), which efficiently separates and extracts lignin from poplar wood. Additionally, it sought to characterize fundamental properties of the extracted switchable solvent lignin (SSL) and propose a mechanism for its separation. In comparison to milled wood lignin, SSL exhibits a greater molecular weight, superior homogeneity, and enhanced stability. The SSL sample was analyzed using spectroscopies including infrared spectroscopy, nuclear magnetic resonance, and X-ray photoelectron spectroscopy. The findings indicated that the structure of SSL was preserved, with the switchable solvent primarily cleaving the C–C and α-O-4 bonds, resulting in a low hydroxyl content, an elevated H/C ratio, and a reduced O/C ratio. The SSL was successfully prepared to lignin nanoparticles (LNPs) with size range of 531–955 nm. This paper presents a technique for processing lignocellulosic biomass using a switchable solvent, highlighting advancements in lignin’s structure and enhancing its use in the chemical sector.
Evaluation and Characterization of Functionally Graded Adhesive Joints: Experimental and Numerical Analyses
Authors: Zhang Yanan , Gálvez Pedro , Martínez Miguel Angel , Abenojar Juana , Wahab Magd Abdel
Published: December 2024

Epoxy resins have exhibited exceptional performance in engineering applications, particularly as a replacement for traditional mechanical joints in adhesive bonding. This study evaluates the suitability of two innovative adhesives, SikaPower®-1511 and SikaPower®-1548, in various graded configurations. The thermal curing behavior of the adhesives was analyzed using differential scanning calorimetry (DSC) and Fourier transform infrared spectroscopy (FTIR). Shear tests and finite element simulations were employed to investigate the strength performance and interfacial stress distribution of four adhesive configurations, including single and graded joints in single lap adhesive joints. The results show that SikaPower®-1548 reveals a slower heat-curing rate and achieves an average shear limit load of 9 MPa, outperforming the more rigid SikaPower®-1511, which reaches 4 MPa. Ultimate load predictions indicate that the shear strength of the 1511-1548-1511 graded configuration is slightly lower than that of SikaPower®-1511, with a decrease of 8.86%. In contrast, the 1548-1511-1548 configuration demonstrates a significant improvement, achieving a 32.20% increase in shear strength, along with a 13.12% reduction in peel stress field intensity at the interface end and a 12.21% reduction in shear stress field intensity. Overall, the experimental and simulation results highlight the significant advantages of graded joints over traditional single joints in alleviating stress concentrations and enhancing joint strength. Additionally, the research confirms the potential of epoxy resins in advanced engineering applications, providing a reliable theoretical foundation and technical guidance for the design of graded adhesives.
Development of a Fleet Management System for Multiple Robots’ Task Allocation Using Deep Reinforcement Learning
Authors: Dai Yanyan , Kim Deokgyu , Lee Kidong
Published: December 2024

This paper presents a fleet management system (FMS) for multiple robots, utilizing deep reinforcement learning (DRL) for dynamic task allocation and path planning. The proposed approach enables robots to autonomously optimize task execution, selecting the shortest and safest paths to target points. A deep Q-network (DQN)-based algorithm evaluates path efficiency and safety in complex environments, dynamically selecting the optimal robot to complete each task. Simulation results in a Gazebo environment demonstrate that Robot 2 achieved a path 20% shorter than other robots while successfully completing its task. Training results reveal that Robot 1 reduced its cost by 50% within the first 50 steps and stabilized near-optimal performance after 1000 steps, Robot 2 converged after 4000 steps with minor fluctuations, and Robot 3 exhibited steep cost reduction, converging after 10,000 steps. The FMS architecture includes a browser-based interface, Node.js server, rosbridge server, and ROS for robot control, providing intuitive monitoring and task assignment capabilities. This research demonstrates the system’s effectiveness in multi-robot coordination, task allocation, and adaptability to dynamic environments, contributing significantly to the field of robotics.
Black-Grass Monitoring Using Hyperspectral Image Data Is Limited by Between-Site Variability
Authors: Goodsell Robert M. , Coutts Shaun , Oxford William , Hicks Helen , Comont David , Freckleton Robert P. , Childs Dylan Z.
Published: December 2024

Many important ecological processes play out over large geographic ranges, and accurate large-scale monitoring of populations is a requirement for their effective management. Of particular interest are agricultural weeds, which cause widespread economic and ecological damage. However, the scale of weed population data collection is limited by an inevitable trade-off between quantity and quality. Remote sensing offers a promising route to the large-scale collection of population state data. However, a key challenge is to collect high enough resolution data and account for between-site variability in environmental (i.e., radiometric) conditions that may make prediction of population states in new data challenging. Here, we use a multi-site hyperspectral image dataset in conjunction with ensemble learning techniques in an attempt to predict densities of an arable weed (Alopecurus myosuroides, Huds) across an agricultural landscape. We demonstrate reasonable predictive performance (using the geometric mean score-GMS) when classifiers are used to predict new data from the same site (GMS = 0.74-low density, GMS = 0.74-medium density, GMS = 0.7-High density). However, even using flexible ensemble techniques to account for variability in spectral data, we show that out-of-field predictive performance is poor (GMS = 0.06-low density, GMS = 0.13-medium density, GMS = 0.08-High density). This study highlights the difficulties in identifying weeds in situ, even using high quality image data from remote sensing.
Multi-Sensor Precipitation Estimation from Space: Data Sources, Methods and Validation
Authors: Guo Ruifang , Fan Xingwang , Zhou Han , Liu Yuanbo
Published: December 2024

Satellite remote sensing complements rain gauges and ground radars as the primary sources of precipitation data. While significant advancements have been made in spaceborne precipitation estimation since the 1960s, the emergence of multi-sensor precipitation estimation (MPE) in the early 1990s revolutionized global precipitation data generation by integrating infrared and microwave observations. Among others, Global Precipitation Measurement (GPM) plays a crucial role in providing invaluable data sources for MPE by utilizing passive microwave sensors and geostationary infrared sensors. MPE represents the current state-of-the-art approach for generating high-quality, high-resolution global satellite precipitation products (SPPs), employing various methods such as cloud motion analysis, probability matching, adjustment ratios, regression techniques, neural networks, and weighted averaging. International collaborations, such as the International Precipitation Working Group and the Precipitation Virtual Constellation, have significantly contributed to enhancing our understanding of the uncertainties associated with MPEs and their corresponding SPPs. It has been observed that SPPs exhibit higher reliability over tropical oceans compared to mid- and high-latitudes, particularly during cold seasons or in regions with complex terrains. To further advance MPE research, future efforts should focus on improving accuracy for extremely low- and high-precipitation events, solid precipitation measurements, as well as orographic precipitation estimation.
Long Coherent Processing Intervals for ISAR Imaging: Combined Complex Signal Kurtosis and Data Resampling
Authors: Ruan Wenao , Liu Chang
Published: December 2024

Airborne inverse synthetic aperture radar (ISAR) imaging of maneuvering targets is important for maritime surveillance. Long coherent processing intervals (CPIs) can bring better resolution and signal-to-clutter-plus-noise ratio (SCNR). Due to the change in the effective rotation vector (ERV), the conventional Range-Doppler (RD) algorithm is not appropriate for producing a well-focused image. To resolve the above issue, we propose a long CPI imaging algorithm through ERV estimation and data resampling. This algorithm estimates the Doppler length of the sub-aperture image by complex signal kurtosis (CSK) at first. Then, the change in the ERV can be estimated because the ship Doppler length is always proportional to the ERV. Finally, the echo is resampled according to the estimation of the time-varying ERV to obtain the echo from a constant ERV. Computer simulation experiments and measured data have verified the effectiveness of the proposed method. Experimental results demonstrate that the proposed method can achieve ISAR imaging with longer CPIs at low SNR and inhomogeneous clutter.
Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors
Authors: Cao Chipeng , Li Jie , Wang Pan , Jin Weiqiang , Zou Runrun , Qi Chun
Published: December 2024

Hyperspectral compressed imaging is a novel imaging detection technology based on compressed sensing theory that can quickly acquire spectral information of terrestrial objects in a single exposure. It combines reconstruction algorithms to recover hyperspectral data from low-dimensional measurement images. However, hyperspectral images from different scenes often exhibit high-frequency data sparsity and existing deep reconstruction algorithms struggle to establish accurate mapping models, leading to issues with detail loss in the reconstruction results. To address this issue, we propose a hyperspectral reconstruction method based on global gradient information and local low-rank priors. First, to improve the prior model’s efficiency in utilizing information of different frequencies, we design a gradient sampling strategy and training framework based on decision trees, leveraging changes in the loss function gradient information to enhance the model’s predictive capability for data of varying frequencies. Second, utilizing the local low-rank prior characteristics of the representative coefficient matrix, we develop a sparse sensing denoising module to effectively improve the local smoothness of point predictions. Finally, by establishing a regularization term for the reconstruction process based on the semantic similarity between the denoised results and prior spectral data, we ensure spatial consistency and spectral fidelity in the reconstruction results. Experimental results indicate that the proposed method achieves better detail recovery across different scenes, demonstrates improved generalization performance for reconstructing information of various frequencies, and yields higher reconstruction quality.
NST-YOLO11: ViT Merged Model with Neuron Attention for Arbitrary-Oriented Ship Detection in SAR Images
Authors: Huang Yiyang , Wang Di , Wu Boxuan , An Daoxiang
Published: December 2024

Due to the significant discrepancies in the distribution of ships in nearshore and offshore areas, the wide range of their size, and the randomness of target orientation in the sea, traditional detection models in the field of computer vision struggle to achieve performance in SAR image ship target detection comparable to that in optical image detection. This paper proposes an oriented ship target detection model based on the YOLO11 algorithm, Neural Swin Transformer-YOLO11 (NST-YOLO11). The proposed model integrates an improved Swin Transformer module called Neural Swin-T and a Cross-Stage connected Spatial Pyramid Pooling-Fast (CS-SPPF) module. By introducing a spatial/channel unified attention mechanism with neuron suppression in the spatial domain, the information redundancy generated by the local window self-attention module in the Swin Transformer Block is cut off. Furthermore, the idea of cross-stage partial (CSP) connections is applied to the fast spatial pyramid pooling (SPPF) module, effectively enhancing the ability to retain information in multi-scale feature extraction. Experiments conducted on the Rotated Ship Detection Dataset in SAR Images (RSDD-SAR) and the SAR Ship Detection Dataset (SSDD+) and comparisons with other oriented detection models demonstrate that the proposed NST-YOLO11 achieves state-of-the-art detection performance, demonstrate outstanding generalization ability and robustness of the proposed model.
A Smooth Global Path Planning Method for Unmanned Surface Vehicles Using a Novel Combination of Rapidly Exploring Random Tree and Bézier Curves
Authors: Türkkol Betül Z. , Altuntaş Nihal , Çekirdek Yavuz Sırma
Published: December 2024

Developing autonomous navigation techniques for surface vehicles remains an important research area, and accurate global path planning is essential. For mobile robots—particularly for Unmanned Surface Vehicles (USVs)—a key challenge is ensuring that sharp turns and sharp breaks are avoided. Therefore, global path planning must not only calculate the shortest path but also provide smoothness. Bézier Curves are one of the main methods used for smoothing paths in the literature. Some studies have focused on turns alone; however, continuous path smoothness across the entire trajectory enhances navigational quality. Contrary to similar studies, we applied Bézier Curves whose control polygon is defined by an RRT path and thus avoided a multi-objective formulation. In the final stage of our approach, we proposed a control point reduction method in order to decrease the time complexity without affecting the feasibility of the path. Our experimental results suggest significant improvements for multiple map sizes, in terms of path smoothness.
A Registration Method Based on Ordered Point Clouds for Key Components of Trains
Authors: Yang Kai , Deng Xiaopeng , Bai Zijian , Wan Yingying , Xie Liming , Zeng Ni
Published: December 2024

Point cloud registration is pivotal across various applications, yet traditional methods rely on unordered point clouds, leading to significant challenges in terms of computational complexity and feature richness. These methods often use k-nearest neighbors (KNN) or neighborhood ball queries to access local neighborhood information, which is not only computationally intensive but also confines the analysis within the object’s boundary, making it difficult to determine if points are precisely on the boundary using local features alone. This indicates a lack of sufficient local feature richness. In this paper, we propose a novel registration strategy utilizing ordered point clouds, which are now obtainable through advanced depth cameras, 3D sensors, and structured light-based 3D reconstruction. Our approach eliminates the need for computationally expensive KNN queries by leveraging the inherent ordering of points, significantly reducing processing time; extracts local features by utilizing 2D coordinates, providing richer features compared to traditional methods, which are constrained by object boundaries; compares feature similarity between two point clouds without keypoint extraction, enhancing efficiency and accuracy; and integrates image feature-matching techniques, leveraging the coordinate correspondence between 2D images and 3D-ordered point clouds. Experiments on both synthetic and real-world datasets, including indoor and industrial environments, demonstrate that our algorithm achieves an optimal balance between registration accuracy and efficiency, with registration times consistently under one second.
Slow Steaming as a Sustainable Measure for Low-Carbon Maritime Transport
Authors: Degiuli Nastia , Martić Ivana , Grlj Carlo Giorgio
Published: December 2024

Reducing greenhouse gas (GHG) emissions is essential across all sectors, including the maritime transport industry. Speed reduction is a key short-term operational measure for lowering GHG emissions from ships, and its implementation has already begun. While speed reduction offers significant benefits, particularly in terms of GHG emissions reduction potential, there are concerns about its application, including increased voyage times, an increase in the number of ships required, and the fact that ships may operate in conditions quite different from those for which they were designed and optimized. This study investigates the impact of speed reduction on ship performance in calm water, using a post-Panamax container ship as an example. Numerical simulations of resistance, open-water, and self-propulsion tests were conducted for a full-scale ship and propeller, and the results were validated against extrapolated towing tank data. Hydrodynamic characteristics, fuel consumption, and carbon dioxide emissions at various speeds were then estimated. The results indicated that when constant transport work was maintained, yearly CO2 emissions decreased by −16.89% with a 10% speed reduction, −21.97% with a 20% speed reduction, and −25.74% with a 30% speed reduction. This study demonstrates that the classical cubic law for fuel oil consumption and speed dependence is not valid, as the speed exponent is lower than 3. The potential benefits and drawbacks of implementing slow steaming are discussed. Finally, this research contributes to the existing literature by evaluating the CO2 emissions reduction potential of slow steaming.
Environmental Performance Through Green Supply Chain Management Practices, Green Innovation, and Zero Waste Management
Authors: Liu Defeng , Yousaf Zahid , Rosak-Szyrocka Joanna
Published: December 2024

Emerging social, economic, and environmental concerns bring operational challenges and the worldwide economy has seen magnifying pressure to incorporate environmental performance (EP) as a part of strategic decision. Studies in the field of environmental management and, particularly, in the areas of green practices, zero waste, and green innovation have suggested that, if executed properly, these organizations are able to promote EP. Under these conditions, organizations’ practices and mechanisms that ensure the enhancement of the EP of these business organizations have gained the wider attention of researchers and management. Focused on the environment and social responsibility, this study explores the complex relationships within sustainable green supply chain management (GSCM) and explores whether GSCM practices significantly impact both zero waste management and green innovation. The analysis also studies whether there are possible beneficial links between zero waste management, green innovation and environmental performance (EP). Additionally, through assessing the level to which these items come together in sustainable strategic actions, the paper shows the correlation among four important topics: GSCM practices, green innovation (GI), zero waste management, and EP. This study explores the relations between zero waste management and EP as well as green innovation and EP, examining whether these aspects of green practices have a positive relationship with effective waste management techniques in the presence of GSCM practices. The paper analyses interactions between GSCM practices and EP, and the mediation role of zero waste management and GI. Moreover, the moderating role of green knowledge sharing (GKS) also been tested. A total of 389 managers in the manufacturing sector completed the survey and the results were analyzed applying SPSS 25.0 and partial least squares structural equation modeling (PLS-SEM). The findings confirmed a significant association among GSCM practices, GI, zero waste management, GKS, and EP. Furthermore, findings also revealed that zero waste management GI has a positive intervention role between GSCM practices and EP. GSCM practices facilitate the promotion of EP by incorporating eco-design, green purchasing, new techniques for production or processes, and green marketing that ensures waste reduction and recycling practices.
Concept and Method of Land Use Conflict Identification and Territorial Spatial Zoning Control
Authors: He Qinggang , Cai Haisheng , Chen Liting
Published: December 2024

With the intensification of socioeconomic activities and climate change, land use conflicts are becoming more and more serious, posing major obstacles to the sustainable use of territorial space. This study conducted research on land use conflict and zoning control with a view to contributing new ideas for the prevention and resolution of land use risks. By analyzing the positioning and drawing upon fundamental theories, a novel research paradigm was proposed. An empirical study was conducted in the Gan River Basin in Jiangxi Province by applying the comprehensive evaluation method and geographical detector, and the basin was divided into six types of zones according to the intensity of land use conflict and the hierarchy of ecosystem service values. The results of the empirical study showed that the areas of intense conflict, low conflict and weak conflict accounted for 1.57%, 29.16% and 69.26% of the basin area, respectively. Of the intense conflict areas, 4.42% of the areas in the lower Gan River Basin were in intense conflict, while only 0.37% of the right bank of the middle reaches was in intense conflict. The driving factor analysis showed that precipitation, the population density and policy planning had a greater influence on land use conflict and that land use conflict was more likely to occur with the interaction of precipitation and the nighttime light index, population density and NDVI. The superimposed image analysis revealed that the land use conflict was intense at the junctions of urban areas and cropland and at the junctions of cropland and forests in the middle and upper reaches of the basin, which were mainly caused by the demand for urban expansion and the spread of agricultural production areas. The results of this empirical study are in agreement with the actual situation in the Gan River Basin, proving that the research paradigm proposed in this study is scientific and applicable. Moreover, we emphasize that this paradigm can be adapted in its application according to different research objects and continuously improved in response to the evolution of the territorial spatial management system. This study is of positive significance for the implementation of territorial spatial planning and provides a scientific basis for the further enhancement of the system of territorial spatial governance.
Leveraging Digital Platforms for Circular Economy: A Value Creation View
Authors: Wu Huifang , Li Suicheng , Hou Wenjing , Zhang Xinyi
Published: December 2024

The practical role of digital platforms in fostering a circular economy (CE) among businesses remains unresolved. Unlike previous research on digital platforms and firm performance, this study analyzes the bridging function of the value creation system from a value creation perspective. It identifies resources (business model innovation) and relationships with other value creators (closed-loop supply chains) as key elements for achieving CE. Using survey data from 243 firms, this study validates the significant roles of business model innovation and closed-loop supply chains in mediating the relationship of digital platforms to achieve CE. This narrows the theoretical gap and expands value creation-based CE research.
Evaluating the Role of Open Innovation and Circular Economy in Enhancing Organizational Performance: Insights from Batik Small and Medium Enterprises in Banyuwangi, Indonesia
Authors: Rahmat Dana Azizah , Rumanti Augustina Asih , Pulungan Muhammad Almaududi , Rizaldi Artamevia Salsabila , Amelia Mia
Published: December 2024

Batik SMEs are key contributors to Indonesia’s heritage and economy. Their inability to fully harness innovative and sustainable practices threatens not only their survival but also their contribution to economic development. However, their path to sustainability is hindered by many limitations in adopting circular economy (CE) principles; a framework widely acknowledged to enhance organizational performance. This study examines and evaluates the application of innovation within Indonesia’s batik SME sector, focusing on the simultaneous impact of open innovation and circular economy principles—an area that has been largely unexplored within this specific sector. Our study analyzes the influence of open innovation and circular economy on organizational performance, measured via simulations among 70 Batik SMEs in Banyuwangi, Indonesia, using Structural Equation Modeling–Partial Least Square (SEM-PLS). The results reveal that while both open innovation and CE enhance performance, some dimensions of CE—such as waste reduction—prove less relevance to the business models of Batik SMEs based on model iteration. Moreover, this includes a discussion about several elimination items within the iteration. These findings suggest that Batik SMEs benefit more from resource optimization and innovation networks than from rigid waste management practices. In conclusion, integrating open innovation with tailored circular economy strategies can improve the operational efficiency and sustainability of Batik SMEs, enabling them to better compete and grow. This research highlights the need for context-specific adaptations of CE principles to ensure their practical impact on different sectors, emphasizing the role of innovation in overcoming resource limitations.
The Temporal Order of Mixed Viral Infections Matters: Common Events That Are Neglected in Plant Viral Diseases
Authors: Moya-Ruiz Celia de , Ferriol Inmaculada , Gómez Pedro
Published: December 2024

Mixed infections of plant viruses are common in crops and represent a critical biotic factor with substantial epidemiological implications for plant viral diseases. Compared to single-virus infections, mixed infections arise from simultaneous or sequential infections, which can inevitably affect the ecology and evolution of the diseases. These infections can either exacerbate or ameliorate symptom severity, including virus–virus interactions within the same host that may influence a range of viral traits associated with disease emergence. This underscores the need for a more comprehensive understanding of how the order of virus arrival to the host can impact plant disease dynamics. From this perspective, we reviewed the current evidence regarding the impact of mixed infections within the framework of simultaneous and sequential infections in plants, considering the mode of viral transmission. We also examined how the temporal order of mixed infections could affect the dynamics of viral populations and present a case study of two aphid-transmitted viruses infecting melon plants, suggesting that the order of virus arrival significantly affects viral load and disease outcomes. Finally, we anticipate future research that reconciles molecular epidemiology and evolutionary ecology, underlining the importance of biotic interactions in shaping viral epidemiology and plant disease dynamics in agroecosystems.
Optimized Directed Virus Evolution to Accelerate the Generation of Oncolytic Coxsackievirus B3 Adapted to Resistant Colorectal Cancer Cells
Authors: Elsner Leslie , Dieringer Babette , Geisler Anja , Girod Maxim , Van Linthout Sophie , Kurreck Jens , Fechner Henry
Published: December 2024

Recently, we demonstrated that the oncolytic Coxsackievirus B3 (CVB3) strain PD-H can be efficiently adapted to resistant colorectal cancer cells through dose-dependent passaging in colorectal cancer cells. However, the method is time-consuming, which limits its clinical applicability. Here, we investigated whether the manufacturing time of the adapted virus can be reduced by replacing the dose-based passaging with volume-based passaging. For this purpose, the murine colorectal carcinoma cell line MC38, resistant to PD-H-induced lysis, was initially infected with PD-H at 0.1 multiplicity of infection (MOI). For subsequent passages, 15–30 µL of a 1:10 dilution of the cell culture supernatant was transferred to fresh MC38 cells early after virus-induced cell lysis became visible. By virus passage 10, complete cell lysis of MC38 cells was achieved. Sequencing of the passage 10 virus (P-10) revealed two nucleotide substitutions in the 5′ UTR and six amino acid changes in the viral polyprotein compared to the PD-H founder. P-10, however, consisted of a heterogeneous virus population. Therefore, the detected mutations were introduced into the cDNA of PD-H, from which the recombinant virus PD-MC38 was generated. PD-MC38 exhibited significantly enhanced replication and lytic activity in MC38 cells compared to PD-H, whereas its oncolytic activity in other colorectal cancer cell lines was comparable to or even lower than that of PD-H. These findings demonstrate that volume-based passaging is suitable to generate tumor cell-specific adapted PD-H. Moreover, compared to the dose-dependent passaging, volume-based passaging significantly reduced the time required to generate the adapted virus.
Spatial-Temporal Monitoring of Water Quality in Rural Property Enrolled in a Program for Payment for Environmental Water Services (PES-Water)—A Case Study in Brazil
Authors: Garcia Joice Machado , Longo Regina Márcia , Nunes Adélia Nobre , Gomes Raissa Caroline
Published: December 2024

Payments for ecosystem (or environmental) services (PES) encourage land users to manage their land in ways that deliver environmental benefits. This study aimed to assess the water quality in a rural property located in the Protection and Recovery of Watersheds of Campinas, which has been participating in the payment for ecosystem services program since 2018. More specifically, seven points of interest regarding the physicochemical indicators of the water were raised, which were subjected to descriptive statistical and variance analysis. The results revealed significant spatio-temporal variability in the monitored water quality indicators for dissolved oxygen, biochemical oxygen demand, pH, total phosphorus, and total nitrogen. More significant fluctuations were observed in the spatial location of the sampling points for turbidity, temperature, and electrical conductivity. However, the greatest variability depends on the time of year when the samples were collected.
Rejuvenation of the Springs in the Hindu Kush Himalayas Through Transdisciplinary Approaches—A Review
Authors: Pant Neeraj , Hagare Dharmappa , Maheshwari Basant , Rai Shive Prakash , Sharma Megha , Dollin Jen , Bhamoriya Vaibhav , Puthiyottil Nijesh , Prasad Jyothi
Published: December 2024

The Hindu Kush Himalayan (HKH) region, known as the “water tower of the world,” is experiencing severe water scarcity due to declining discharge of spring water across the HKH region. This decline is driven by climate change, unsustainable human activities, and rising water demand, leading to significant impacts on rural agriculture, urban migration, and socio-economic stability. This expansive review judiciously combines both the researchers’ experiences and a traditional literature review. This review investigates the factors behind reduced spring discharge and advocates for a transdisciplinary approach to address the issue. It stresses integrating scientific knowledge with community-based interventions, recognizing that water management involves not just technical solutions but also human values, behaviors, and political considerations. The paper explores the benefits of public–private partnerships (PPPs) and participatory approaches for large-scale spring rejuvenation. By combining the strengths of both sectors and engaging local communities, sustainable spring water management can be achieved through collaborative and inclusive strategies. It also highlights the need for capacity development and knowledge transfer, including training local hydrogeologists, mapping recharge areas, and implementing sustainable land use practices. In summary, the review offers insights and recommendations for tackling declining spring discharge in the HKH region. By promoting a transdisciplinary, community-centric approach, it aims to support policymakers, researchers, and practitioners in ensuring the sustainable management of water resources and contributing to the United Nations Sustainable Development Goals (SDGs).
Analyzing the Spatial Patterns and Impact Factors of Vegetation Net Primary Productivity and Precipitation Utilization Efficiency in Heilongjiang Province Under Climate Change
Authors: Dong Fangli , Mu Xinglong , Meng Fanxiang , Zheng Ennan , Li Tianxiao , Zhang Hengfei , Jiang Shihao
Published: December 2024

Understanding the spatial patterns and driving mechanisms of net primary productivity (NPP) and precipitation utilization efficiency (PUE) is crucial for assessing ecosystem services. This study analyzed the variations in NPP and PUE in Heilongjiang Province from 2001 to 2020, using MOD17A3 NPP products and meteorological, topographic, and land use data. The distribution of the NPP and PUE of seven land use categories was determined in the study, namely, cropland, forest, grassland, water, barren, impervious and wetland. The multi-year spatial averages for NPP and PUE were 428.96 gC·m−2·a−1 and 0.74 gC·m−2·mm−1, respectively, with forests showing the highest values and barren lands the lowest. During the study period, 91.4% of the NPP increased at an average rate of 3.36 gC·m−2·a−1, while PUE exhibited a polarized trend. Changes in land use, especially conversions involving cropland and forest, along with climatic factors such as rising precipitation and temperature, significantly influenced NPP and PUE dynamics. These findings provide a scientific basis for ecological restoration and the assessment of ecosystem function under changing climatic conditions.
Transformation of Kulcapi Use in Karo Society Traditions in Medan: A Study on Style, Genre, and Social Function
Authors: Ginting Yerikho Delvinci , Ginting Yosua Saputra , Tarigan Wahyu Perdana , Tarigan Prima Nopraka , Ginting Ryandi , Purba Mauly
Published: December 2024

The kulcapi is a traditional musical instrument deeply embedded in Karo cultural practices. This study aims to trace its historical usage within traditional ceremonies and rituals, examine its functional evolution from ancient times to the modern era, and analyze its transformation from a ritualistic to an entertainment medium. Employing a historical approach, this research utilizes literature review and case studies related to the kulcapi's role within Karo culture. Findings indicate that the kulcapi has experienced a significant functional transformation: initially a solo instrument in ritual contexts, it became an integral part of the gendang telu sedalanen ensemble and has more recently merged with modern instruments, such as the keyboard. This transition reflects the kulcapi's adaptation to social and cultural changes while presenting challenges to its traditional values. The study concludes that preserving and developing the cultural heritage associated with the kulcapi is essential for maintaining Karo cultural identity amidst global modernization pressures.
Cultural Acculturation of Ethnic Chinese and Ethnic Javanese in Kampung Ketandan Yogyakarta, 1966-2001
Authors: Fatkhiyah Maghfirotull , Lestari Siska Nurazizah , Kaswati Anggar
Published: December 2024

This study examines the cultural acculturation between Chinese and Javanese ethnic groups in Kampung Ketandan, Yogyakarta, during 1966-2001. The research aims to explore the factors driving and inhibiting this acculturation process. A historical method was employed, involving topic selection, heuristics, source verification, interpretation, and historiography. The findings reveal that the acculturation in Kampung Ketandan occurred harmoniously, marked by cultural adaptation processes such as deculturation, enculturation, acculturation, and assimilation manifesting in language, architecture, clothing, names, cuisine, and the arts. For example, the word "kecap" was adopted from Chinese, shop-house architecture became characteristic of Ketandan, the "kebaya encim" was integrated into local dress, and the Chinese-Javanese shadow puppetry emerged as a unique art form. Factors supporting acculturation included education, social contact, and a heterogeneous population, while barriers included ethnic prejudice and economic disparities. The study concludes that the acculturation in Kampung Ketandan fostered a rich and diverse cultural coexistence despite various challenges.
From Politics to the Mataraman Cultural Stage: Fragments of Magetan History in the XVII-XX Centuries
Authors: Subaryana Subaryana , Fibiona Indra , Pambudi Wahyu , Nugraha Nugraha
Published: December 2024

The historical trajectory of East Java, particularly Magetan, is intricately linked with the broader political and cultural developments of Central Java and Yogyakarta, especially since the Hindu-Buddhist era and the subsequent rise of Mataram Islam. This research investigates how historical political dynamics have shaped contemporary cultural identities in the Magetan region. Through a historical approach and the analysis of various archival sources, the study examines key political events, including the conquest of Kanitèn, the Trunojoyo rebellion, and the Chinese Insurrection, and their impacts on Magetan. The findings reveal that the political maneuvers of Mataram Islam, coupled with Dutch colonial intervention, significantly influenced the cultural landscape in Magetan. The concept of keagungbinataraan mandated Magetan’s allegiance to the Yogyakarta Sultanate, resulting in the adoption of Mataraman culture as an expression of loyalty. The political rivalry between the Surakarta and Yogyakarta palaces intensified cultural contestations, with Magetan predominantly aligning with the Yogyakarta Sultanate, as evidenced by the prevalent use of the slendro-tuned gamelan. These results underscore the enduring influence of historical political events on Magetan’s cultural identity, which continues to evolve in the present day.
Inventory of Bandar Aceh Darussalam's Keuh Coins as a Collection of the North Sumatra Quranic History Museum
Authors: Tamimi Khairul , Tanjung Muaz , Nasution Kasron
Published: December 2024

The Keuh coins of Bandar Aceh Darussalam, made from tin, served as currency during the Aceh Darussalam Sultanate. Known as Caxa by the Portuguese and Kasha by the Dutch, these coins varied in value depending on cultural contexts. This study aims to inventory, identify, and describe the Keuh coins of Bandar Aceh Darussalam within the collection of the Museum of Quranic History in North Sumatra. Employing a qualitative method with a descriptive-analytical approach, data collection involved direct observation of the coins. The identification and description processes included measurements of weight, diameter, and thickness, alongside an analysis of inscriptions found on the coins. Findings reveal that the Museum of Quranic History in North Sumatra houses a collection of 39 Keuh coins from Bandar Aceh Darussalam, showcasing variations in size and inscriptions. This inventory is essential for the preservation and promotion of cultural heritage. The study also highlights the importance of engaging multiple stakeholders to increase public awareness of the museum's collection. The detailed identification and description of the Keuh coins aim to foster a broader understanding and appreciation of these historical artifacts among diverse audiences.
Impact of the Great Postal Road on Infrastructure Development and Social Dynamics in Java under Herman Willem Daendels
Authors: Tarigan Devit Eskan Putrama , Andira Bagas Ibnu , Nasih Munajatun , Ananda Risky Dwi , Putri Shella Ananda , Sinaga Rosmaida
Published: December 2024

The construction of Great Postal Road, known as the De Grote Postweg, played a transformative role in shaping infrastructure development and social dynamics in Java during the early 19th century. This study examines the historical context, motivations, and impacts of the 1,000 km road, stretching from Anyer to Panarukan, constructed under the administration of Governor-General Herman Willem Daendels. Employing the historical method, the research follows a four-step process: heuristics, verification, interpretation, and historiography, ensuring data accuracy and reliability. The findings reveal that the primary objectives of the road were to improve communication across Java and bolster defenses against British threats along the northern coast. Furthermore, the construction resulted in substantial changes to the island's infrastructure and brought profound socio-economic consequences to the local population. This article concludes that although the road primarily served colonial interests, its enduring legacy significantly influenced the socio-economic transformation of the regions it traversed.
Challenging Hegemony: Fransen van de Putte's Advocacy for Alternative Colonial Policies in Aceh, 1873-1885
Authors: Muhajir Ahmad
Published: December 2024

This study aims to analyse the role of Fransen van de Putte in advocating for an alternative approach to Dutch colonial policy in Aceh during the period 1873-1885, and identifies the factors influencing his efforts. The focus of this research lies in the criticisms and alternatives proposed by Fransen van de Putte against the Dutch government’s aggressive strategy in Aceh. This study employs a historical method with a social science approach and Antonio Gramsci’s theory of hegemony as its analytical framework. The primary sources include Fransen van de Putte’s speeches compiled in Atjeh: Parlementaire Redevoeringen van I. D. Fransen van de Putte van Februari 1873 – December 1885. Secondary sources consist of books and scholarly journal articles. The findings reveal that, despite being marginalised, Fransen van de Putte consistently voiced criticism and offered alternatives to the Dutch colonial policy in Aceh. However, he faced significant challenges in challenging the hegemonic dominance of aggressive narratives in the Dutch parliament. This research provides new insights into the political dynamics in the Netherlands during the Aceh War and the role of individuals in challenging hegemony, particularly within the context of colonialism.