bluuebunny/crossref_metadata_2025_split huggingface dataset:
Depth-sensor-based shared control assistance for mobility and object manipulation: toward long-term home-use of BCI-controlled assistive robotic devices
Authors: Bellicha Angélina , Struber Lucas , Pasteau François , Juillard Violaine , Devigne Louise , Karakas Serpil , Chabardes Stephan , Babel Marie , Charvet Guillaume 
Published: January 2025

Abstract

Objective. Assistive robots can be developed to restore or provide more autonomy for individuals with motor impairments. In particular, power wheelchairs can compensate lower-limb impairments, while robotic manipulators can compensate upper-limbs impairments. Recent studies have shown that Brain-Computer Interfaces (BCI) can be used to operate this type of devices. However, activities of daily living and long-term use in real-life contexts such as home require robustness and adaptability to complex, changing and cluttered environments which can be problematic given the neural signals that do not always allow a safe and efficient use. This article describes assist-as-needed sensor-based shared control (SC) methods relying on the blending of BCI and depth-sensor-based control. Approach. The proposed assistance targets the BCI-teleoperation of effectors for tasks that answer mobility and manipulation needs in a at-home context. The assistance provided by the proposed methods was evaluated through a wheelchair mobility and reach-and-grasp laboratory-based experiments in a controlled environment, as part of a clinical trial with a quadriplegic patient implanted with a wireless 64-channel ElectroCorticoGram recording implant named WIMAGINE. Main results. Results showed that the proposed methods can assist BCI users in both tasks. Indeed, the time to perform the tasks and the number of changes of mental tasks were reduced. Moreover, unwanted actions, such as wheelchair collisions with the environment, and gripper opening that could result in the fall of the object were avoided. Significance. The proposed methods are steps toward at-home use of BCI-teleoperated assistive robots. Indeed, the proposed SC methods improved the performance of the two assistive devices.
Clinical trial, registration number: NCT02550522.
Inspired by the growth behavior of plants: biomimetic soft robots that just meet the requirements of use
Authors: Yang Liu , Fang Liu , Zhang Zengzhi 
Published: January 2025

Abstract
Soft robots are usually manufactured using the pouring method and can only be configured with a fixed execution area, which often faces the problem of insufficient or wasteful performance in real-world applications, and cannot be reused for other tasks. In order to overcome this limitation, we propose a simple and controllable rather than redesigned method inspired by the bionic growth behavior of plants, and prepare bionic soft robots that can just meet the requirements of use, and transform biological intelligence into mechanical intelligence. Based on finite element method, we establish a theoretical model of soft robot performance. And the experimental platform is designed to conduct experimental research on the prototype of the soft robot. Compared with the results obtained through the theoretical model, it is found out that the experimental bending angle and elongation are slightly smaller than the simulation results. (The maximum error of elongation prediction for soft robots (Fashion 1–4) is 5.7%, 5.9%, 6%, and 6%, and the maximum error of bending angle prediction is 7.1%, 7.5%, 7.6%, and 7.6%, respectively). The high consistence between our theoretical model and the experimental results shows that the theoretical model is applicable to accurately predict the performance of soft robots. It is worth pointing out that this design as proposed in this paper can be extended to the wider field of soft robotics as a generic one.
Anti-aging chitosan/gelatin film crosslinked by α-arbutin for bone regeneration by free radical scavenging to prevent osteoblast senescence
Authors: Xu Guojie , Xi Lian , Huang Xiaohan , Xie Qingtiao , Zhao Jinmin , Jiang Xianfang , Lu Zhenhui , Zheng Li 
Published: January 2025

Abstract
Osteoblasts play a critical role in maintaining bone homeostasis. Senescence causes by free radical-mediated oxidative stress may affect the viability and osteogenic differentiation potential of osteoblast during bone formation. To eliminate the impacts of senescent cells by free radical scavenging is an optimal option for bone regeneration in age-related bone disease, such as osteoporosis (OP) and periodontitis. In this study, we fabricated an antioxidant film (CG-ARB) by crosslinking chitosan (C) and gelatin (G) using α-Arbutin (ARB) as a crosslinker. The morphological, physicochemical, and radical scavenging characteristics of the films were investigated. Its antioxidative ability to prevent osteoblast senescence for restoration of osteogenic differentiation was analyzed in vitro. A Sprague–Dawley rat model with critical size calvarial defect was used to evaluate the bone regeneration and biosafety in vivo. The results demonstrated that CG-ARB formed a dense fiber membrane, allowing for the gradual and sustained release of ARB for at least 10 d. ARB exerted antioxidant effect that prevented osteoblast senescence in vitro and promote bone healing in vivo. Furthermore, CG-ARB did not cause hemolysis or organ toxicity, and was therefore, considered biosafe. These results indicated that CG-ARB film could be an ideal drug delivery system for sustained released of ARB in bone defect repair.
Impacts of unilateral U.S. carbon policies on agricultural sector greenhouse gas emissions and commodity markets
Authors: Adenauer Marcel , Adjemian Michael K , Arita Shawn , Brorsen Wade , Cooper Joseph , Goh Gyuhyeong , Karali Berna , Mallory Mindy Lyn , Thompson Wyatt , Yu Jisang 
Published: January 2025

Abstract
This article analyzes the consequences of the United States implementing unilateral policies to reduce greenhouse gas (GHG) emissions from agriculture. The policy representation is based loosely on current and past policy initiatives that have subsidized GHG reductions and considered special treatment for sectors heavily involved in trade. To do so, our first step is to generate new estimates of key parameters, elasticities of demand and supply, that are critical to understanding interactions among agricultural commodities, such as between livestock and crop products, in this area of research and more broadly. We apply these parameters in a widely used economic model that estimates the effects of a unilateral U.S. agricultural GHG policy on both domestic and foreign markets as well as global GHG emissions. Livestock effects dominate, driving most U.S. livestock product consumer prices higher and causing mixed crop and crop product price effects. A unilateral policy increases food costs in the implementing country and, if applied to all supplies, domestic and imported, tends to raise prices elsewhere as well. Alternative implementation strategies, such as not imposing the costs on exports or not imposing the costs on imports, can lead to lower food prices and greater consumption in other countries, as well as have important implications for the overall GHG reductions achieved by the unilateral effort.
A combined wavelet analysis-quantile mapping (WA-QM) method for bias correction: capturing the intra-annual temporal patterns in climate model precipitation simulations and projections
Authors: Wu Xia , Liu Zhu , Duan Qingyun 
Published: January 2025

Abstract
Despite recent improvements, global climate models (GCMs) still have biases that prevent their direct application. Quantile mapping (QM) has been widely used in bias correction (BC) due to its effectiveness in aligning the cumulative density function of climate model data with observations. However, QM has a significant limitation: it fails to consider the temporal correspondence between the model data and observations, which restricts its ability to represent intra-annual temporal patterns. To address this issue, this study integrated wavelet analysis (WA) into QM to develop a combined method termed WA-QM, which aimed to preserve QM’s efficacy in overall BC and preservation of climate change signals, while capturing the intra-annual temporal patterns. The effectiveness of WA-QM was investigated using monthly precipitation data from five Coupled Model Intercomparison Project Phase 6 models in the Pan Third Pole region, which includes Central Asia (CA), Southeast Asia, and the Tibetan Plateau. Quantile delta mapping (QDM) and scaled distribution mapping (SDM) served as the benchmark methods for assessment. The results indicated that integrating WA into QDM or SDM did not compromise the ability of QDM or SDM to correct overall biases and preserve the model’s climate change signal. Furthermore, WA could be an effective tool to overcome QM’s limitation in capturing intra-annual temporal patterns. The WA approach employed discrete wavelet transformation to decompose GCM data into various frequency bands and then adjusted their standard deviations and signs to ensure that their relative relationships were consistent with those in observations. Compared to the standalone QM approach, WA-QM showed greater accuracy in monthly statistical metrics. In the CA region, WA-SDM reduced the monthly root mean square error of the mean by 25.2%, the standard deviation by 17.6%, and the 90th percentile by 26.7% compared to SDM. The effectiveness of WA-QM was demonstrated across different data periods, spatial areas, and GCMs.
An optimal path threshold method for rigorously identifying extreme climate events
Authors: Zhao Bingjie , Horvat Christopher , Gao Huilin 
Published: January 2025

Abstract
The frequent occurrence of extreme hydroclimate events has a significant impact on ecosystems and socio-economic systems. However, intercomparisons of extreme events are often hampered by inconsistent definitions and standardizations for different types of events. Here we introduce the Optimal Path Threshold (OPT) method, a dynamic programming-based approach that adaptively determines optimal thresholds for defining extreme events at specific severity levels. Two case studies demonstrate its applicability. The first case study presents a long-term comparison of air heatwaves and lake heatwaves in Lake Mead. The algorithm adaptively selects thresholds to identify a comparable number of events at various severity levels. The second case study examines compound hot, dry, and windy events in California, exploring threshold selection for multivariable extremes and investigating their potential relationship with wildfires. The OPT method proves effective for adaptably and objectively analyzing complex and multifactorial extreme events.
Review of biodegradation of palm oil mill effluent (POME) in perspective of microbial involved on different type of bioreactor
Authors: Febrina W , Saryono S , Awaluddin A , Helwani Z , Andiyan A , Lestari L P , Yanqoritha N 
Published: January 2025

Abstract
The palm oil sector is a significant and prominent segment of the worldwide agricultural industry. On a global scale, palm oil output reached around 76.538 million metric tons in 2021. Over that time frame, Indonesia and Malaysia emerged as the primary global exporters of palm oil, with Indonesia exporting 44,500 metric tonnes and Malaysia exporting 19,700 metric tonnes. However, the very high levels of output have resulted in substantial amounts of palm oil mill effluent (POME). Various biological and physicochemical treatment techniques have been used to treat POME on a laboratory bench or pilot scale. However, the significant amount of adsorbent and coagulating chemicals needed makes it impractical to achieve industrial-scale utilization of any approach alone. This paper is a review paper, which examine several treatment methods, the selected bioreactor type, and the commercial-scale conversion of POME into sustainable biogas streams. The result of the study is some suggestion about the strength and weakness each type or bioreactor. The careful choice of an appropriate treatment method and bioreactor type is crucial in the processing of POME and enhancing the yield of results, including biofuel and other organic compounds.
IoT (internet of things) microclimate monitoring system using node-red platform at plant factory
Authors: De Side G N , Putra G M D , Setiawati D A 
Published: January 2025

Abstract
Indonesia faces significant challenges in the agricultural sector, such as limited productive land and climate change, which threaten food security. The plant factory emerges as a relevant solution by integrating hydroponic technology and automation to enable year-round controlled food production. This study aimed to develop an IoT-based microclimate monitoring system using the Node-RED platform within a plant factory. The system allowed for real-time temperature, humidity, and light intensity monitoring. The methodology involves designing a system utilizing an Arduino Mega 2560 microcontroller, DHT22 and GY-49 sensors, and an ESP01S WiFi module. The collected data was transmitted via the MQTT protocol and displayed on the Node-RED dashboard. The results demonstrated that this system effectively monitored climate parameters and could enhance the efficiency and productivity of the plant factory, represented by all sensors functioning correctly. The DHT22 sensor has been calibrated with a standard Thermohigrometer measuring instrument with a temperature RMSE value of 1.01 and a humidity RMSE of 5.88. Likewise, the GY-49 sensor has been calibrated with a standard lux meter. In calibrating the GY-49, the equation entered in the coding is 0.978 * sensor reading + 0.891, and the resulting RMSE value is 57.91. During the testing phase, the datalogger hardware system can run 100%. Consequently, this system significantly supports sustainable modern agriculture and national food security.
Mangrove ecotourism and social entrepreneurship: an integrated solution for sustainable community development
Authors: Islam D , As F 
Published: January 2025

Abstract
This research discussed how ecotourism and social entrepreneurship were two approaches that increasingly gained attention as strategies for achieving sustainable community development. Both approaches complemented each other and significantly benefited local communities and the environment. The mangrove forest area in Lembung Village, Galis District, Pamekasan, Madura, was identified as an exciting location for environmentally friendly and sustainable tourism, providing opportunities for local communities to utilize natural resources wisely while preserving them. This research explored how integrating mangrove ecotourism with social entrepreneurship could optimize economic, social, and environmental benefits, contributing to sustainable community development. A descriptive qualitative approach was used, presenting informants from ecotourism managers, Village officials, business people in the ecotourism sector, local communities, and visitors. The main findings revealed that mangrove ecotourism in Lembung Village, Pamekasan, not only functioned as a tourist attraction but also contributed to increasing local community income, improving infrastructure, and preserving the environment. Through collaboration among farmer groups, local communities, and various stakeholders, resource potential could be maximally utilized to achieve the desired social and economic goals.
Green economy is a challenge for sustainable development in west Sumatra
Authors: Yuliarti  , Akmal A D , Fajri H , Pemana I , Sari O P 
Published: January 2025

Abstract
This study evaluated the impact of sustainable development in the forestry sector of West Sumatra Province using the Green GRDP approach. The method employed was descriptive quantitative, utilizing secondary data analysis from 2019 to 2023, which included data on land cover, deforestation, and the forestry sector’s contribution to conventional GRDP and Green GRDP. The results showed that the forestry sector’s contribution to conventional GRDP was only 1.19%. However, after including environmental services such as carbon sequestration and biodiversity conservation, the forestry sector’s contribution increased significantly in the Green GRDP calculation. The adoption of Green GRDP was also aligned with the Sustainable Development Goals (SDGs), particularly related to sustainable consumption, production, and climate action. Based on these findings, recommended policies included the adoption of Green GRDP to improve the economic valuation of natural resources and strengthening sustainable forest management policies to address the challenges of climate change.
Advances in biomaterials-based tissue engineering for regeneration of female reproductive tissues
Authors: Kim Yong Ho , Kim Hyung-Sik , Hong In-Sun 
Published: January 2025

Abstract
The anatomical components of the female reproductive system—comprising the ovaries, uterus, cervix, vagina, and fallopian tubes—interact intricately to provide the structural and hormonal support essential for reproduction. However, this system is susceptible to various detrimental factors, both congenital and acquired, that can impair fertility and adversely affect quality of life. Recent advances in bioengineering have led to the development of sophisticated three-dimensional models that mimic the complex architecture and functionality of reproductive organs. These models, incorporating diverse cell types and tissue layers, are crucial for understanding physiological processes within the reproductive tract. They offer insights into decidualization, ovulation, folliculogenesis, and the progression of reproductive cancers, thereby enhancing personalized medical treatments and addressing female infertility. This review highlights the pivotal role of tissue engineering in diagnosing and treating female infertility, emphasizing the importance of considering factors like biocompatibility, biomaterial selection, and mechanical properties in the design of bioengineered systems. The challenge of replicating the functionally specialized and structurally complex organs, such as the uterus and ovary, underscores the need for reliable techniques that improve morphological and functional restoration. Despite substantial progress, the goal of creating a fully artificial female reproductive system is still a challenge. Nonetheless, the recent fabrication of artificial ovaries, uteruses, cervixes, and vaginas marks significant advancements toward this aim. Looking forward, the challenges in bioengineering are expected to spur further innovations in both basic and applied sciences, potentially hastening the clinical adoption of these technologies.
Exclusive propagation characteristics of topological optical fibers
Authors: Roy Somashreeta , Biswas Abhijit , Pal Bishnu P , Ghosh Somnath 
Published: January 2025

Abstract
As per bulk-edge correspondence, the junction between two topologically distinct lattices in a topological optical fiber supports topological interface states, which enable highly stable, scattering-free, robust propagation of light. We investigate the propagation characteristics of a multi-channel topological optical fiber having co-existing multiple topological interface states in the presence of potential structural defects and deformation in shape. The tolerance analysis has been carried out by deliberately introducing structural imperfections upto ⩽4% with reference to the annular area at the topological junction of trivial and non-trivial lattices. These studies demonstrate robust properties of multiple topological interface states despite the presence of such structural deformations. Furthermore, a deliberately introduced lateral misalignment upto a maximum of 800 nm of the topological junction exhibits a low splice loss of 0.3 dB and high confinement properties of the multiple topological interface states. These results clearly indicate that the propagation characteristics and properties of the co-existing multiple topological interface states exhibit exceptional tolerance to structural defects, junction deformations, and lateral misalignments, surpassing the performance of state-of-the-art conventional optical fibers. Hence, topological optical fibers could outperform conventional optical fibers in terms of undistorted signal transmission irrespective of fabrication-related potential structural defects.
Surface slope measurement of steep silicon V-grooves using high NA Linnik interferometry
Authors: Künne Marco , Pahl Tobias , Ribotta Luigi , Giura Andrea , Zucco Massimo , Murataj Irdi , Ferrarese Lupi Federico , Lehmann Peter 
Published: January 2025

Abstract
Optical topography measurements are of high interest in a lot of industrial and academic fields. One of the most common associated measurement methods is coherence scanning interferometry, but even though it provides sub-nanometer axial resolution, its lateral resolution is diffraction limited. Not only the feature size is a limiting factor for optical measurements, but also steep surface slopes may lead to problems, since the acceptance angle of the objective lens limits the maximum surface slope angles that can be measured. Here we use a Linnik-type interferometer with objective lenses of numerical apertures of 0.95 in order to maximize the measurable surface slope angle. We demonstrate that silicon V-groove structures with a slope angle of 54.74° can be measured. We compare the directly measured surface slope angle with an angle calculated from light that is reflected two times by the V-grooves. To verify our measurement we compare the measurement results to rigorous FEM simulations.
External delay and dispersion correction of automatically sampled arterial blood with dual flow rates
Authors: Brender Benjamin , Burki Lubna , Jeon Josefina , Ng Alvina , Yussefian Nikta , Uribe Carme , Murrell Emily , Boileau Isabelle , Desmond Kimberly L , Narciso Lucas 
Published: January 2025

Abstract

Objective. Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1. Approach. External delay and dispersion constants were measured for the flow rates of 350, 300, 180, and 150 ml h−1, using 1-minute-long rectangular inputs (n = 10; 18F-fluoride in saline). Resulting constants were used to validate the external delay and dispersion corrections (n = 6; 18F-fluoride in saline; flow rate change: 350 to 150 ml h−1 and 300 to 180 ml h−1); constants were modelled to transition linearly between flow rates. Corrected curves were assessed using the percent area-under-the-curve (AUC) ratio and a modified model selection criterion (MSC). External delay and dispersion constants were measured for various radiotracers using a blood analog (i.e., similar viscoelastic properties). Main results. ABSS outputs were successfully corrected for external delay and dispersion using our proposed method accounting for a change in flow rate. AUC ratio reduced from ∼10% for the uncorrected 350–150 ml h−1 output (∼6% for the 300–180 ml h−1) to < 1% after correction when compared to true input (511 keV energy window); approx. 5-fold increase in MSC. Assuming an internal dispersion constant of 5 s, the dispersion constant (internal + external) for [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1 was 13, 9, 16, and 10 s, respectively. Significance. This study presented an external delay and dispersion correction procedure needed when a change in flow rate occurs during ABSS data acquisition. Additionally, this is the first study to measure the external delay and dispersion constants using a blood analog solution, a suitable alternative to blood when estimating external dispersion.