bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review of the Release Profiles and Efficacies of Chemotherapy Drug-Loaded Electrospun Membranes
Authors: Lin Zhenyu , Chen Hao , Xu Jiawei , Wang Jie , Wang Huijing , Huang Shifen , Xu Shanshan
Published: January 2023

Electrospun fibrous membranes loaded with chemotherapy drugs have been broadly studied, many of which have had promising data demonstrating therapeutic effects on cancer cell inhibition, tumor size reduction, the life extension of tumor-bearing animals, and more. Nevertheless, their drug release profiles are difficult to predict since their degradation pattern varies with crystalline polymers. In addition, there is room for improving their release performances, optimizing the release patterns, and achieving better therapeutic outcomes. In this review, the key factors affecting electrospun membrane drug release profiles have been systematically reviewed. Case studies of the release profiles of typical chemotherapy drugs are carried out to determine the preferred polymer choices and techniques to achieve the expected prolonged or enhanced release profiles. The therapeutic effects of these electrospun, chemo-drug-loaded membranes are also discussed. This review aims to assist in the design of future drug-loaded electrospun materials to achieve preferred release profiles with enhanced therapeutic efficacies.
Improving Glass Transition Temperature and Toughness of Epoxy Adhesives by a Complex Room-Temperature Curing System by Changing the Stoichiometry
Authors: Ruíz de Azúa Oiane , Agulló Núria , Arbusà Jordi , Borrós Salvador
Published: January 2023

The glass transition temperature (Tg) of room-temperature curing epoxy adhesives is limited by the temperature used during curing. It is already known that the excess of epoxy groups can undergo a homopolymerization reaction initiated by tertiary amines at elevated temperatures, resulting in an increase in Tg. However, there is no evidence of this reaction occurring at room temperature. In the present work, the influence of formulation stoichiometry on Tg and mechanical properties was investigated. Dynamomechanical, rheological and mechanical properties of epoxy adhesives were determined by DSC, DMA, rheometer and tensile and shear strength testing. It has been probed that an excess of epoxy resin combined with a complex curing system composed of a primary amine, a polymercaptan and a tertiary amine leads to an increase in Tg up to 70 °C due to the homopolymerization reaction that takes place at room temperature. However, as the excess of epoxy resin is increased, gel time becomes slower. Regarding mechanical properties, it has been proven that an excess of epoxy resin provides a tighter and tougher material but maintains flexibility of the stoichiometric formulation, which is meant to enhance the resistance to impact-type forces, thermal shock and thermal cycling.
Effect of 3D Printing Process Parameters on Damping Characteristic of Cantilever Beams Fabricated Using Material Extrusion
Authors: He Feiyang , Ning Haoran , Khan Muhammad
Published: January 2023

The present paper aims to investigate the process parameters and damping behaviour of the acrylonitrile butadiene styrene (ABS) cantilever beam manufactured using material extrusion (MEX). The research outcome could guide the manufacture of MEX structures to suit specific operating scenarios such as energy absorption and artificially controlled vibration responses. Our research used an experimental approach to examine the interdependencies between process parameters (nozzle size, infill density and pattern) and the damping behaviour (first-order modal damping ratio and loss factor). The impact test was carried out to obtain the damping ratio from the accelerometer. A dynamic mechanical analysis was performed for the loss factor measurement. The paper used statistical analysis to reveal significant dependencies between the process parameters and the damping behaviour. The regression models were also utilised to evaluate the mentioned statistical findings. The multiple third-order polynomials were developed to represent the relation between process parameters and modal damping ratio using stiffness as the mediation variable. The obtained results showed that the infill density affected the damping behaviour significantly. Higher infill density yielded a lower damping ratio. Nozzle size also showed a notable effect on damping. A high damping ratio was observed at a significantly low value of nozzle size. The results were confirmed using the theoretical analysis based on the underlying causes due to porosity in the MEX structure.
Physicochemical and Antibacterial Properties of Alginate Films Containing Tansy (Tanacetum vulgare L.) Essential Oil
Authors: Kowalonek Jolanta , Stachowiak Natalia , Bolczak Kinga , Richert Agnieszka
Published: January 2023

Tansy (Tanacetum vulgare) is a common plant used in folk medicine for digestive problems, fevers, and migraines; against parasites; and as an insect repellent. The active substances in essential oil are responsible for its antimicrobial and antioxidant activity. Thus, tansy essential oil (TO) was added to alginate films to fabricate materials with antioxidant and antibacterial properties for food packaging. Sodium alginate films with glycerol and TO were tested in terms of structure, mechanical, thermal, antioxidant, and antibacterial properties. The structure of the films was examined using SEM and an ATR-FTIR spectrophotometer. The addition of TO to the alginate film significantly changed the films’ microstructure, making them rougher and porous. A low-intensity band at 1739 cm−1, indicative of the presence of TO, appeared in all spectra of alginate films with TO. Moreover, the studies revealed that essential oil acted as a plasticizer, slightly reducing tensile strength from about 7 MPa to 5 MPa and increasing elongation at break from 52% to 56% for the sample with 2% TO. The alginate films enriched in TO exhibited antioxidant properties (280 μmol Trolox/100 g of the sample with 2% TO) and antibacterial activity against Escherichia coli, Staphylococcus aureus, and Pseudomonas aeruginosa.
Design and Dynamic Characteristics Analysis of Novel Support Adjustment Mechanism of Wheeled Downhole Tractor
Authors: Zhao Jianguo , Zhao Xin , Wei Xiaohan , Luo Xu , Dong Xuecheng
Published: January 2023

Conventional design method of the downhole tractor is based on cementing casing, which is only suitable for the smooth wellbore. For the open hole well, the conventional downhole tractor has poor adaptability and even cannot work normally. In order to improve the obstacle surmounting performance of the wheeled downhole tractor (WDR) and expand the application range of the WDR, a double push rod-double spring support adjustment mechanism (DPRDSSAM) is proposed in this paper. Meanwhile, the proposed DPRDSSAM also needs to increase the traction force and the stability of the WDR in the open hole well. Kinematic simulation numerical models of both conventional support adjustment mechanism and the DPRDSSAM are established. The two models comprehensively considere the influence of different obstacle forms and sizes on the obstacle surmounting performance of the tractor. The influence of different obstacle forms on the obstacle surmounting performance of DPRDSSAM and single push rod support adjustment mechanism (SPRSAM) is analyzed. Results show that the DPRDSSAM has better obstacle surmounting performance than the SPRSAM. The DPRDSSAM can effectively promote further research and application of the tractor in the open hole well.
A Study on a Knowledge Graph Construction Method of Safety Reports for Process Industries
Authors: Yin Zhiqiang , Shi Lin , Yuan Yang , Tan Xinxin , Xu Shoukun
Published: January 2023

There are some representative reports in industrial safety engineering, such as the Hazard and Operability Analysis and Pre-Hazard Analysis; however, a large amount of industrial safety knowledge in the report has not been fully explored. In order to reuse and release the value of industrial safety knowledge, this paper constructs a new industrial safety knowledge extraction framework. The framework combines the asset management shell to summarize the knowledge concept entities of machine description language and model description language. According to the safety report template, the framework also constructs a new industrial safety knowledge-mapping standard structure. Specifically, firstly, considering that the knowledge structure of safety reports is different in different processes of the process industry, this paper innovatively proposes a general industrial safety knowledge-mapping standard structure, which provides a practical solution for the integration of industrial knowledge representation problems in different processes. Secondly, based on the research progress of named entities, this paper presents an industrial named entity extraction method (INERM) for the process industry. This method designs an entity weight model to calculate the entity weight of each sentence, and adds part-of-speech weight to improve the entity extraction algorithm, which alleviates the problem that the existing entity extraction methods cannot reasonably use the semantic information and context of word. Finally, we construct a triple of industrial safety knowledge based on the rules and store it in Neo4j. In this paper, four semantic-type templates and five semantic relation templates are constructed based on the new industrial safety knowledge map standardization construction process of the process industry. The comparative experiments show that the accuracy of the INERM on the test set is improved by 17 percentage points on average compared with other key entity extraction algorithms. A total of 1329 entities are constructed in the directional application example of the fluid transportation process, which provides a large number of references for the safety of the fluid transportation process and is more conducive to improving the safety guarantee of the fluid transport process.
Modeling of Erosion in a Cyclone and a Novel Separator with Arc-Shaped Elements
Authors: Salakhova Elmira I. , Zinurov Vadim E. , Dmitriev Andrey V. , Salakhov Ilshat I.
Published: January 2023

Modeling of the separation of catalyst particles from gas using two devices, a cyclone and a novel separator with arc-shaped elements, was performed for fluidized-bed dehydrogenation of C4–C5 paraffins to isoolefins as an example. The proposed dust collector allows one to reduce erosive wear by several times (~6.5-fold) in identical regimes and at identical parameters of the process. The effect of particle size on erosive wear was analyzed under near-industrial conditions; the regions most susceptible to wear in the analyzed devices were identified, as well as the functions describing the dependence between the erosive wear rate and particle diameter for the cyclone and separator with arc-shaped elements, making it possible to predict wear in the devices were obtained.
Advances in Remediation of Contaminated Sites
Authors: Huang Kaibo , Diao Zenghui , Lu Guining
Published: January 2023

With the development of the social economy, the population has increased sharply, and the land area involved in people’s production and life is also gradually increasing [...]
Disentangling Holocene Climate Change and Human Impact from Palaeoenvironmental Records from the Scottish West Coast
Authors: Selby Katherine A. , Wheeler Jane , Derrett Sally
Published: January 2023

Phases of rapid climate change throughout the early to mid Holocene coincide with regional human population expansion in Scotland and North-West Europe. Palaeoenvironmental signals of climate and anthropogenically driven vegetation changes can therefore be difficult to separate. To identify whether it is possible to distinguish potential signatures of anthropogenic clearance and agricultural activities from climatic drivers of landscape change in the early to mid Holocene in the region, two topographically contrasting sites on the Isle of Skye and the Isle of Bute were investigated. A multiproxy approach including pollen, spore, microcharcoal, loss on ignition and particle size analyses was adopted to investigate changes in vegetation and climate. There are subtle indications that the 8200 cal BP climate event had an effect on the vegetation composition at both sites. Signals of anthropogenic woodland clearance are apparent early in the sequence at Peat Hill (Bute), indicated by a peak in Poaceae (grass) cereal-type (7–14%) at 8592–8793 cal BP, alongside a decrease in arboreal pollen, which could not be associated with a regional episode of climate change. Early to mid Holocene vegetation changes at Lyndale House (Skye) occur alongside regional changes in precipitation and sea level and therefore cannot be readily separated. Continuous declines in arboreal pollen from ca. 5000 cal BP at Lyndale House indicates the onset of widespread clearance on Skye via felling and sustained grazing pressures.
“Sometimes I Feel like a Motherless Child:” Considering the Metaphor of Divine Adoption in the Context of Trauma
Authors: Claassens L. Juliana
Published: January 2023

This article will explore the rhetorical and theological significance of the metaphor of divine adoption in the Hebrew Bible. In Ps 22:10–11 and Ps 71:6–9 God is not only said to pull the psalmist out of his/her mother’s womb, but in a context in which many mothers all too often died in childbirth, the newborn is cast upon God who steps in as the adoptive mother. This idea of divine adoption is further found in Psalm 68:5 when God is described as the “Father of orphans… [who] gives the desolate a home to live in”. And in Psalm 27:9–10, God is praised by the psalmist as “God of my salvation!” saying that “if my father and mother forsake me, the Lord will take me up”. In a context in which fathers and mothers either have died or have forsaken their children, God is thus portrayed as the adoptive parent who, as evident in the creative reinterpretation of Ps 68:5 in the African American spiritual referenced in the title of the essay serves as “Mother to the motherless, and father to the fatherless”. I argue that when it is important to keep in mind the complexities associated with this metaphor, which includes not only the multiple layers of trauma associated with the origin and reception of this metaphor but also the trauma associated with the adoptive process and the ongoing relationship between parent and adopted child that may be fraught with ambiguity. Read in the context of individual and collective trauma, this article makes a case for the interpretative potential of this metaphor in times when people literally and figuratively have felt, and still may be feeling, like motherless (and fatherless) children.
Religious Necropolitical Propaganda in Educational Materials for Children
Authors: Yilmaz Ihsan , Erturk Omer
Published: January 2023

Even though Turkey’s ruling party’s (Justice and Development Party, the AKP) nation-building and desired citizen creation policies have been studied, its use of necropolitical narratives and propaganda in education has not been investigated. This paper addresses this gap by examining how the Turkish state ruled by the AKP has propagated its religious necropolitical narrative through the national curriculum and Directorate of Religious Affairs (Diyanet) in school textbooks, and magazines and comic books for children. The paper shows that these texts and comics try to indoctrinate children into a religious cult of martyrdom in different ways by encouraging them to view tragic death and getting killed for the nation as a positive event. This paper argues that these propaganda efforts are part of a religious necropolitical indoctrination campaign that seeks to create a new Islamist and jihadist generation of lifelong supporters of the AKP, which portrays itself in the educational texts as the embodiment of Islam, the Muslim Turkish nation and even the global Muslim community (ummah). This new religious generation is expected to believe that dying for the Islamist populist authoritarian regime is the greatest honour a person can bring upon themselves. This paper contributes to the necropolitics literature by showing that not only adults but also children have been targeted by authoritarian rulers’ necropolitical propaganda attempts to create desired citizens who are ready to die for the regime, believing this is a religious obligation. Further research is needed to assess if and to what extent this propaganda has an impact on children.
Understanding Social Phenomena Linked to Religion: In Search of an Alternative Approach That Combines Science with Religious Insights
Authors: García-Magariño Sergio , Prieto-Flores Oscar , Innerarity Grau Carmen
Published: January 2023

Some contemporary social phenomena, despite secularization, are still linked to religion. However, this same secularization seems to have accompanied a progressive process of religious illiteracy. Therefore, the capacity to address religious inspired issues is lower than the magnitude of the problems at work, be violent right-wing movement and Islamist terrorism or ethical debates on the beginning and end of life, to name but a few. Hence, this paper aims to fulfil three goals: to revisit secularism and some liberal assumptions that might prevent a correct understanding of these phenomena, to assess some of the consequences of the critique of ideologies and to propose an alternative approach to address religious inspired social phenomena.
Saint Sophrony Sakharov’s Vade Mecum towards the Divine Light
Authors: Chirilă Ioan , Pașca-Tușa Stelian
Published: January 2023

The present study aims to capitalise on Saint Sophrony Sakharov’s theological/mystical view of experiencing the divine Light, which the Essex Abbot construes as an aspiration to be pursued by any Christian, not only by spiritual elites. For this reason, the experience, and exhortations of Saint Silouan’s disciple as to the believer’s partaking in God’s uncreated Light can become for contemporary man a vade mecum adapted to the spiritual requirements and realities of our time. The drafting of these spiritual guidelines will be based on the writings of St. Sophrony (especially We Shall See Him as He Is) and the testimonies of his direct disciples and of those who assumed his way of life in the light of Jesus Christ (Zacharias Zacharou, Hierotheos Vlachos, Neacşu Nathanael, and Maxime Egger). We believe that our effort to capitalise on the mystical experience of St. Sophrony will enable the reader to access the knowledge required to understand how one may come to partake in the divine Light.
Nigerian Pentecostal Megachurches and Development: A Diaconal Analysis of the Redeemed Christian Church of God
Authors: Adedibu Babatunde Aderemi
Published: January 2023

The Nigerian social, public, political and religious landscapes have changed significantly over time with the emergence and proliferation of Pentecostal megachurches. The majority of these churches are structured and characterized with a peculiar missional focus, ritual, religious and ecclesiastical distinctiveness. Many of these Pentecostal megachurches have been criticized for their economic motivations, exploitation and commercialization of the Christian faith. However, Nigerian megachurches are ‘Progressive Pentecostals’ on the basis of their sustained commitment to diaconal services towards the development of their communities. Divergent views have emerged over time in relation to the nexus between religion and development. This study argues that religion is one of the motors of development in Africa; this challenges the Western secular framework of development. Hence, the study examines development from below, using the diaconal services of the Redeemed Christian Church of God (RCCG), a Pentecostal megachurch that illustrates the importance of faith-based organizations’ roles in development. A descriptive research method is employed in the study with social capital theory and pneuma-diaconal mission theory to examine the concept of development from below. This study concludes that faith-based organizations such as the RCCG‘s social responsiveness contributes to the overall development of its various communities.
Guidelines for the Technical Sustainability Evaluation of the Urban Drinking Water Systems Based on Analytic Hierarchy Process
Authors: Rehman Rukhshanda , Aslam Muhammad Sagheer , Jasińska Elżbieta , Javed Muhammad Faisal , Goňo Miroslava
Published: January 2023

The challenge of achieving and measuring urban water sustainability is hard because of its complex nature. The sustainability of urban drinking water system (UDWS) is no exception, as integration of technical, environmental, social, economic, and institutional elements of sustainability is defying and perplexing in terms of its application and evaluation. This paper deals with the technical aspects related to the design, construction, operation, and maintenance factors of a UDWS. Measurement of the status of such factors is almost impossible in generic formats. Therefore, a list of measurable sub factors was developed through an extensive literature survey and refined by involving appropriate stakeholders. This led to the development of a hierarchy from criteria to factors and from factors to sub factors, making a case for the utilization of an analytic hierarchy process (AHP) for multicriteria analysis (MCA). Appropriate stakeholders were included in this research to address the issues for which there were major gaps in the literature. A set of guidelines were developed for the evaluation of the status of various sub factors in a quantitative format. It is concluded that a trans disciplinary framework, the involvement of stakeholders, and guidelines for adopting appropriate processes and techniques may improve the sustainability of stressed urban water systems.
On the Utilization of Modified Red Mud in Dimethyl Disulfide and Methyl Mercaptan Emission Abatement
Authors: Päivärinta-Antikainen Sanna , Ojala Satu , Pitkäaho Satu , Matějová Lenka , Keiski Riitta L.
Published: January 2023

In this paper, a novel application of industrial waste, namely red mud (RM), in the abatement of two malodorous and harmful sulfur compounds, dimethyl disulfide (DMDS) and methyl mercaptan (MM), is presented. The effects of calcination and activations with hydrochloric acid or a mixture of hydrochloric and orthophosphoric acid on the properties and performance of RM are compared using laboratory-scale experiments. The RM-based materials were characterized by XRF, XRD, FE-SEM, N2-physisorption, TGA/DTA, and FTIR analyses. RM exhibits very promising catalytic properties in the abatement of both DMDS and MM. The hydrochloric acid-activated RM was the most active in both cases, which was explained by its rather high specific surface area (144 m2 g−1), higher contents of Fe2O3 and TiO2, as well as lower content of phosphorus. For both DMDS and MM, the main oxidation products were sulfur dioxide, carbon monoxide, and carbon dioxide. DMDS was observed as a reaction intermediate in MM oxidation. While the final conversions of DMDS and MM were high, the oxidation was not complete, indicated by the formation of carbon monoxide. Nevertheless, the modified RM appears as a very interesting alternative to the existing DMDS and MM abatement catalysts.
Customer Due Diligence in the FinTech Era: A Bibliometric Analysis
Authors: Gaviyau William , Sibindi Athenia Bongani
Published: January 2023

This study examined the current developments in customer due diligence (CDD) in the financial technology (FinTech) era. The study of anti-money laundering (AML) and combating financing of terrorism (CFT) gained prominence after the 2007–2009 global financial crisis (GFC), in which administrative penalties were issued to financial institutions. Faced with AML regulatory compliance issues, technological solutions were or are still being developed. Thus, several technological innovation developments have shaped the future direction of the CDD aspects in the AML/CFT sphere. A bibliometric review and meta-analysis was employed for the study. The Scopus database was utilised to generate the dataset for the study, while SciVal was applied for research metric analysis. The major findings revealed that the key research themes in this area include anti-money laundering, banks and crime, and cryptocurrency, as well as blockchain and corruption. It was also established that most of the research done in this area is focused on the United Kingdom, the United States, and China. The integration of CDD with FinTech is still an emerging area that requires interdisciplinary collaborations.
Constrained-Differential-Kinematics-Decomposition-Based NMPC for Online Manipulator Control with Low Computational Costs
Authors: Reinhold Jan , Baumann Henry , Meurer Thomas
Published: January 2023

Flexibility combined with the ability to consider external constraints comprises the main advantages of nonlinear model predictive control (NMPC). Applied as a motion controller, NMPC enables applications in varying and disturbed environments, but requires time-consuming computations. Hence, given the full nonlinear multi-DOF robot model, a delay-free execution providing short control horizons at appropriate prediction horizons for accurate motions is not applicable in common use. This contribution introduces an approach that analyzes and decomposes the differential kinematics similar to the inverse kinematics method to assign Cartesian boundary conditions to specific systems of equations during the model building, reducing the online computational costs. The resulting fully constrained NMPC realizes the translational obstacle avoidance during trajectory tracking using a reduced model considering both joint and Cartesian constraints coupled with a Jacobian transposed controller performing the end-effector’s orientation correction. Apart from a safe distance from the obstacles, the presented approach does not lead to any limitations of the reachable workspace, and all degrees of freedom (DOFs) of the robot are used. The simulative evaluation in Gazebo using the Stäubli TX2-90 commanded of ROS on a standard computer emphasizes the significantly lower online computational costs, accuracy analysis, and extended adaptability in obstacle avoidance, providing additional flexibility. An interpretation of the new concept is discussed for further use and extensions.
Spatio-Temporal Patterns and Driving Forces of Desertification in Otindag Sandy Land, Inner Mongolia, China, in Recent 30 Years
Authors: Yi Yang , Shi Mingchang , Wu Jie , Yang Na , Zhang Chen , Yi Xiaoding
Published: January 2023

Background: Desertification is one of the main obstacles to global sustainable development. Monitoring, evaluating and mastering its driving factors are very important for the prevention and control of desertification. As one of the largest deserts in China, the development of desertification in Otindag Sandy Land (OSL) resulted in the reduction in land productivity and serious ecological/environmental consequences. Although many ecological restoration projects have been carried out, the vegetation restoration of OSL and the impact mechanism of climate and human activities on desertification remain unclear. Methods: Taking OSL as the research area, this paper constructs the desertification index by using the remote sensing images and meteorological and socio-economic data, between 1986 and 2016, and analyzes the spatio-temporal evolution process and driving factors of desertification by using trend analysis and spearman rank correlation. Results: The results showed that: (1) Desertification in the OSL has fluctuated greatly during the past 30 years. Desertification recovered between 1986 and 1990, expanded and increased between 1990 and 2000, reduced between 2000 and 2004, developed rapidly between 2004 and 2007, and recovered again between 2007 and 2016; (2) The desertification of OSL is dominated by a non-significant change trend, accounting for 73.27%. In the significant change trend, the area of desertification rising trend is 20.32%, which is mainly located in the north and east, and the area of declining trend is 6.41%, which is mainly located in the southwest; (3) Desertification is the result of the superposition of climate and human activities. Climate change is the main influencing factor, followed by human activities, and the superposition effects of the two are spatio-temporal differences. Conclusions: These results shed light on the development of desertification in OSL and the relative importance and complex interrelationship between human activities and climate in regulating the process of desertification. Based on this, we suggest continuing to implement the ecological restoration policy and avoid the destruction of vegetation by large-scale animal husbandry in order to improve the situation of desertification.
Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China
Authors: Li Huimian , Zhang Guilian , Zhong Qicheng , Xing Luqi , Du Huaqiang
Published: January 2023

The aboveground carbon storage (AGC) of urban forests is an important indicator reflecting the ecological function of urban forests. It is essential to monitor the AGC of urban forests and analyze their spatiotemporal distributions. Remote sensing is a technical tool that can be leveraged to accurately monitor forest AGC, whereas machine learning is an important algorithm for the accurate prediction of AGC. Therefore, in this study, single Landsat 8 (L) remote sensing data, single Sentinel-2 (S) remote sensing data, and combined Landsat 8 and Sentinel-2 (L + S) data are used as data sources. Four machine learning methods, support vector regression (SVR), random forest (RF), XGBoost (extreme gradient boosting), and CatBoost (categorical boosting), are used to predict forest AGC based on two phases of forest sample plots in Shanghai. We chose the optimal model to predict the AGC and simulate the spatiotemporal distribution. The study shows that both machine learning models based on separate Landsat 8 OLI and Sentinel-2 satellite remote sensing data can accurately predict the AGC and spatiotemporal distribution of the Shanghai urban forest. Nevertheless, the accuracy of the combined data (L + S) and CatBoost-integrated AGC models is higher than the others, with fitting and validation accuracy R2 values of 0.99 and 0.70, respectively. The RMSE was also smaller at 0.67 and 6.29 Mg/ha, respectively. The uncertainty of the AGC spatial distribution in the Shanghai urban forest derived from the CatBoost model prediction from the 2016–2019 data was small and consistent with the actual situation. Furthermore, the statistics showed that the AGC of the Shanghai forest increased from 24.90 Mg/ha in 2016 to 25.61 Mg/ha in 2019.
Detection of Geocryological Conditions in Boreal Landscapes of the Southern Cryolithozone Using Thermal Infrared Remote Sensing Data: A Case Study of the Northern Part of the Yenisei Ridge
Authors: Medvedkov Alexey , Vysotskaya Anna , Olchev Alexander
Published: January 2023

This paper discusses the potential of using infrared remote sensing data to determine geocryological conditions in the northern part of the Yenisei Ridge in Russia. Landsat-8 thermal infrared images and land surface data were used for our analysis. The obtained thermal characteristics were compared with vegetation indices calculated for the period of active vegetation growth along several surface transects. Surface observations included geobotanical descriptions, phytomass estimations, measurements of thickness of the seasonally thawed layer, and visual identification of different effects of permafrost on the components of the taiga landscape. The obtained surface temperatures differed depending of forest type due to their bio-productivity characteristics on sporadic permafrost as the most important factor of forest growth conditions within the southern part of the cryolithozone. The differences in the thermal characteristics are due to varying degree of permafrost influence on boreal vegetation growth. The surface temperature was used as indicator to quantify the relationship between the latent heat and the sensible heat fluxes for the corresponding landscape. The areas with higher surface temperatures were usually characterized by higher sensible heat flux due to lower evapotranspiration of the plant canopy. The forest types with the highest evapotranspiration had usually the lowest surface temperatures. Such forest types are also the most fire-resistant systems, and have the highest water-discharge potential. This is characteristic of the forests under the lowest impact of permafrost (thawed soils or the presence of the permafrost layer at lower depths). Such types of forests have higher ecosystem service potential (e.g., fire-resistance and stock formation).
Adaptive Data Collection and Offloading in Multi-UAV-Assisted Maritime IoT Systems: A Deep Reinforcement Learning Approach
Authors: Liang Ziyi , Dai Yanpeng , Lyu Ling , Lin Bin
Published: January 2023

This paper studies the integration of data collection and offloading for maritime Internet of Things (IoT) systems with multiple unmanned aerial vehicles (UAVs). In the considered multi-UAV maritime IoT system, the UAVs act as the aerial base stations to complete the missions of data collection from buoys and data offloading to the offshore base station (OBS). In this case, the UAVs need to adaptively select the mission mode between data collection and data offloading according to the network resources and mission requirements. In this paper, we aimed to minimize the completion time of data collection and offloading missions for all UAVs by jointly optimizing the UAV trajectories, mission mode selection, transmit power of buoys, and association relationships between the UAVs and buoy/OBS. In order to solve the mixed-integer non-convex minimization problem, we first designed a multi-agent deep reinforcement learning algorithm based on a hybrid discrete and continuous action space to preliminarily obtain the UAV trajectories, mission mode selection, and the transmit power of buoys. Then, we propose an algorithm based on the stable marriage problem to determine the buoy–UAV and UAV–OBS association relationships. Finally, the simulation results show that the proposed algorithms can effectively shorten the total mission completion time of data collection and offloading for the multi-UAV-assisted maritime IoT system.
Combining Model-Agnostic Meta-Learning and Transfer Learning for Regression
Authors: Satrya Wahyu Fadli , Yun Ji-Hoon
Published: January 2023

For cases in which a machine learning model needs to be adapted to a new task, various approaches have been developed, including model-agnostic meta-learning (MAML) and transfer learning. In this paper, we investigate how the differences in the data distributions between the old tasks and the new target task impact performance in regression problems. By performing experiments, we discover that these differences greatly affect the relative performance of different adaptation methods. Based on this observation, we develop ensemble schemes combining multiple adaptation methods that can handle a wide range of data distribution differences between the old and new tasks, thus offering more stable performance for a wide range of tasks. For evaluation, we consider three regression problems of sinusoidal fitting, virtual reality motion prediction, and temperature forecasting. The evaluation results demonstrate that the proposed ensemble schemes achieve the best performance among the considered methods in most cases.
Pre-Sowing Treatments, Seed Components and Water Imbibition Aids Seed Germination of Gloriosa superba
Authors: Mahajan Yogesh Ashok , Shinde Balkrishna Ankush , Torris Arun , Gade Akshay Baban , Patil Vipul Subhash , John C. K. , Kadoo Narendra Yeshwant , Nikam Tukaram Dayaram
Published: January 2023

Gloriosa superba L. is a horticulturally and medicinally important plant. Its seeds have poor, erratic, and deferred germination. The detailed seed structure components and water imbibition mechanism facilitating the process of seed germination in G. superba remain unexplored. Therefore, it is essential to develop methods to ensure consistent and enhanced seed germination in G. superba. Various pre-sowing treatments along with the Brunauer-Emmett-Teller (BET) surface area analysis and 3D X-ray micro-tomography (micro-T) were employed to elucidate seed structure components, porosity network, and the water imbibition mechanism during germination in G. superba. The study revealed that consistent and significantly improved seed germination (>85%) was observed using the pre-sowing treatment mechanical scarification followed by 24 h water soaking in G. superba. BET and micro-T showed that the tegmen of the seed coat exhibited porosity (21%) with a well-connected porosity network (17.50%) that helped in water movement through hilum, which was confirmed by phosphotungstic acid staining. However, the sarcotesta and endosperm were water-impermeable due to their negligible porosity. Multidisciplinary techniques such as BET and micro-T along with conventional methodologies can be employed to address the seed coat structure, porosity, and water imbibition mechanism aiding seed germination. Mechanical scarification enabled the water to penetrate internal seed layers through the permeable tegmen via the reticulate pore network, which significantly improved seed germination. The developed seed germination method can produce a large number of plants in less time and conserve the natural populations of this high-value medicinally important species.
A Stepwise Diagnosis Method for the Catalyst Loss Fault of the Cyclone Separator in FCC Units
Authors: Song Jianfei , Wang Di , He Yanmin , Lei Peng , Peng Wei , Wei Yaodong
Published: January 2023

The catalyst loss is one of the main faults that affects the long-term run of an FCC unit. Most catalyst loss faults, namely excessive emissions of the catalyst, are closely related to cyclone separators. The catalyst loss faults of the cyclone separator are usually caused by the abnormal changes in some aspects, such as the operational conditions and equipment performance and integrity, which directly affects the gas–solid separating operation and separation performance. This paper firstly summarized the various catalyst loss faults involving the cyclone separator in the FCC unit. Next, the characteristics of the catalyst loss faults and the main factors in the industrial operations were extracted and analyzed. Then, a stepwise diagnosis approach was proposed to determine the causes and location of catalyst loss faults of the cyclone separator. Finally, an industrial case was introduced in detail to prove the effectiveness of the method based on the sampled data from the commercial FCC unit. It is hopeful to provide a practical approach for the diagnosis and elimination of the catalyst loss fault in the FCC unit.
Materiality, Corporeality, and Relationality in Older Human–Robot Interaction (OHRI)
Authors: Vidovićová Lucie , Menšíková Tereza
Published: January 2023

This article presents interdisciplinary research on the social and technological aspects of interactions between older adults and the humanoid robot Pepper (SoftBank Robotics). Our case study is based on the regular meetings that are a part of an experimental intervention taking place at the Active Ageing Centre for older adults in Prague, run by the NGO Life 90. Through the methods of participant observation, unstructured interviews, analyses of video recordings from interventions with Pepper, and subsequent reflections on the “user” experience with the robot, we have unpacked the complexity of materiality and corporeality in older human–robot interactions (OHRI) in the context of age and gender. The project brings new applied knowledge, exploring OHRI using concepts relevant to gerotechnologies, informed by studies of materiality and ageing studies.
Integrated Biological and Chemical Control against the Maize Late Wilt Agent Magnaporthiopsis maydis
Authors: Gordani Asaf , Hijazi Bayan , Dimant Elhanan , Degani Ofir
Published: January 2023

Today’s fungal plant disease control efforts tend towards environmentally friendly and reduced chemical applications. While traditional broad-spectrum fungicides provide efficient protection to many field crops, they pose a risk to the soil’s beneficial microflora and a potential health hazard. Moreover, their intensive use often evokes the appearance of resistant pathogens. On the other hand, biocontrol agents such as Trichoderma spp. provide a green solution but often cannot shield the plants from aggressive disease outbreaks. Integrated biological and chemical disease control can combine the benefits of both methods while reducing their drawbacks. In the current study, such a bio-chemo approach was developed and evaluated for the first time against the maize late wilt pathogen, Magnaporthiopsis maydis. Combinations of four Trichoderma species and Azoxystrobin were tested, starting with an in vitro seed assay, then a growth room sprouts trial, and finally a semi-field, full-season pot experiment. In the plates assay, all four Trichoderma species, Trichoderma sp. O.Y. (T14707), T. longibrachiatum (T7407), T. asperellum (P1) and T. asperelloides (T203), grew (but with some delay) in the presence of Azoxystrobin minimal inhibition concentration (0.005 mg/L). The latter two species provided high protection to sprouts in the growth room and to potted plants throughout a full season in a semi-field open-enclosure trial. At harvest, the P1 and T203 bio-shielding exhibited the best parameters (statistically significant) in plant growth promotion, yield increase and late wilt protection (up to 29% health recovery and 94% pathogen suppression tracked by real-time PCR). When applied alone, the Azoxystrobin treatment provided minor (insignificant) protection. Adding this fungicide to Trichoderma spp. resulted in similar (statistically equal) results to their sole application. Still, the fact that Azoxystrobin is harmless to the beneficial Trichoderma species over a complete semi-field condition is a great opening stage for carrying out follow-up studies validating the integrated control in a commercial field situation challenged with acute disease stress.
Change Point Detection by State Space Modeling of Long-Term Air Temperature Series in Europe
Authors: Monteiro Magda , Costa Marco
Published: January 2023

This work presents the statistical analysis of a monthly average temperatures time series in several European cities using a state space approach, which considers models with a deterministic seasonal component and a stochastic trend. Temperature rise rates in Europe seem to have increased in the last decades when compared with longer periods. Therefore, change point detection methods, both parametric and non-parametric methods, were applied to the standardized residuals of the state space models (or some other related component) in order to identify these possible changes in the monthly temperature rise rates. All of the used methods have identified at least one change point in each of the temperature time series, particularly in the late 1980s or early 1990s. The differences in the average temperature trend are more evident in Eastern European cities than in Western Europe. The smoother-based t-test framework proposed in this work showed an advantage over the other methods, precisely because it considers the time correlation presented in time series. Moreover, this framework focuses the change point detection on the stochastic trend component.
Bioremoval of Methylene Blue from Aqueous Solutions by Green Algae (Bracteacoccus sp.) Isolated from North Jordan: Optimization, Kinetic, and Isotherm Studies
Authors: Al-Fawwaz Abdullah T. , Al Shra’ah Ahmad , Elhaddad Engy
Published: January 2023

Algae provide an alternative, sustainable, and environmentally beneficial method of dyetreatment. In this study, algae were successfully used to remove methylene blue (MB) from aqueous solutions. The effects of several parameters, such as initial concentration of MB (5–25 mg L−1), algae dosage (0.02–0.1 g mL−1), temperature (4, 20, and 30 °C), and contact time (24, 48, 72 and 84 h), on MB removal were investigated. In addition, the characterization of MB before and after treatment was achieved using UV-spectrophotometer and Liquid chromatography-mass spectrometry (LC-MS). The experimental data were applied to three kinetic models, namely pseudo-first-order, pseudo-second-order, and Elvoich. Moreover, Langmuir, Freundlich, Dubinin–Raduskevich (D–R), and Temkin isotherm models were tested. The maximum removal efficiency of MB (~96%) was accomplished at optimum conditions at the initial concentration of MB (15 mg L−1), temperature (30 °C), and algae dosage (0.06 g mL−1) after 60 min of contact time. The removal of MB follows the pseudo-second-order kinetic model (R2 > 0.999), and the experimental data is best fitted by the Langmuir isotherm model (R2 > 0.9300).
The Impact of Climate Change on Evapotranspiration and Flow in a Major Basin in Northern Mexico
Authors: Martínez-Sifuentes Aldo Rafael , Trucíos-Caciano Ramón , Rodríguez-Moreno Víctor Manuel , Villanueva-Díaz José , Estrada-Ávalos Juan
Published: January 2023

Climate defines the hydrological cycle of each region and climate change will undoubtedly affect the recharge processes of the world’s water tables and the water resources currently available at the basin and microbasin scale. The objective of the present paper is to evaluate future changes in evapotranspiration and flows from the Sardinas River basin in North Durango, Mexico. The Rural Genius Model (GR2M) is an aggregated monthly hydrological model, which is used to reconstruct flows from precipitation and evapotranspiration by applying two functions: a production function and a transfer function. A transfer function has been used under four shared socioeconomic pathway scenarios (126, 245, 370, and 585). Pettitt and Mann–Kendall statistical tests were used to determine trends, which were identified by the breakpoint in the evapotranspiration and flow time series. Results showed that under climate change scenarios, evapotranspiration shows an increase over time. Under the climate scenario, SSP 126, and the application of the statistical test in the flow series show an increasing trend with a break in May for 2090, with a mean of 1658 mm before and 2238 mm after the break, with an excess of 34.98%. The flow under the SSP 245 climate scenario predicts a mean flow of 1703.11 mm and a break in May of the 2090 horizon, with a mean before and after the break of 1624 mm and 2168 mm, respectively, with an excess of 33.49%. Under the SSP 370 scenario, the mean is expected to be 1710.81 mm, with a break in May 2090, before and after means of 1633 mm and 2166 mm, respectively, with an excess of 32.63%. Under climate change scenario SSP 585, the mean expected will be 1701.43 mm and the break in the flow series will occur in May of the 2090 horizon, with a mean of 1628 mm before the break and 2132 mm after, with a flow excess of 30.95%. The results of this study can be a basis for decision-makers for better management and protection of water resources in northern Durango, Mexico.