bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comprehensive Description of the Anatomy and Histochemistry of Psychotria capillacea (Müll. Arg.) Standl. and an Investigation into Its Anti-Inflammatory Effects in Mice and Role in Scopolamine-Induced Memory Impairment
Authors: Formagio Anelise Samara Nazari , Vilegas Wagner , Kassuya Cândida Aparecida Leite , De Almeida Valter Paes , Manfron Jane , Konkiewitz Elisabete Castelon , Ziff Edward Benjamin , Faoro Janaine Alberto Marangoni , Dos Santos Jessica Maurino , Cecatto Ana Julia , Sarragiotto Maria Helena , Mussury Rosilda Mara
Published: May 2024

Species of the genus Psychotria are used in popular medicine for pain, inflammatory symptoms, and mental disorders. Psychotria capillacea (Müll. Arg.) Standl. (Rubiaceae) is commonly known as coffee and some scientific studies have demonstrated its therapeutic potential. The goal of this study was to investigate the anti-inflammatory and neuroprotective effects, and acetylcholinesterase (AChE) inhibitory activity of a methanolic extract obtained from leaves of P. capillacea (MEPC), as well as the micromorphology and histochemistry of the leaves and stems of this plant. In addition, the MEPC was analyzed by UHPLC-MS/MS and the alkaloidal fraction (AF) obtained from the MEPC was tested in a mouse model of inflammation. MEPC contained three indole alkaloids, one sesquiterpene (megastigmane-type) and two terpene lactones. MEPC (3, 30 and 100 mg/kg) and AF (3 and 30 mg/kg) were evaluated in inflammation models and significantly inhibited edema at 2 h and 4 h, mechanical hyperalgesia after 4 h and the response to cold 3 h and 4 h after carrageenan injection. Scopolamine significantly increased the escape latency, and reduced the swimming time and number of crossings in the target quadrant and distance, while MEPC (3, 30 and 100 mg/kg), due to its neuroprotective actions, reversed these effects. AChE activity was significantly decreased in the cerebral cortex (52 ± 3%) and hippocampus (60 ± 3%), after MEPC administration. Moreover, micromorphological and histochemical information was presented, to aid in species identification and quality control of P. capillacea. The results of this study demonstrated that P. capillacea is an anti-inflammatory and antihyperalgesic agent that can treat acute disease and enhance memory functions in mouse models.
Comprehensive Analysis of Drug Utilization Patterns, Gender Disparities, Lifestyle Influences, and Genetic Factors: Insights from Elderly Cohort Using g-Nomic® Software
Authors: Rodríguez Castillo Bárbara , Cendrós Marc , Ciudad Carlos J. , Sabater Ana
Published: May 2024

Polypharmacy is a global healthcare concern, especially among the elderly, leading to drug interactions and adverse reactions, which are significant causes of death in developed nations. However, the integration of pharmacogenetics can help mitigate these risks. In this study, the data from 483 patients, primarily elderly and polymedicated, were analyzed using Eugenomic®’s personalized prescription software, g-Nomic®. The most prescribed drug classes included antihypertensives, platelet aggregation inhibitors, cholesterol-lowering drugs, and gastroprotective medications. Drug–lifestyle interactions primarily involved inhibitions but also included inductions. Interactions were analyzed considering gender. Significant genetic variants identified in the study encompassed ABCB1, SLCO1B1, CYP2C19, CYP2C9, CYP2D6, CYP3A4, ABCG2, NAT2, SLC22A1, and G6PD. To prevent adverse reactions and enhance medication effectiveness, it is strongly recommended to consider pharmacogenetics testing. This approach shows great promise in optimizing medication regimens and ultimately improving patient outcomes.
Computational Modeling to Identify Drugs Targeting Metastatic Castration-Resistant Prostate Cancer Characterized by Heightened Glycolysis
Authors: Su Mei-Chi , Lee Adam M. , Zhang Weijie , Maeser Danielle , Gruener Robert F. , Deng Yibin , Huang R. Stephanie
Published: May 2024

Metastatic castration-resistant prostate cancer (mCRPC) remains a deadly disease due to a lack of efficacious treatments. The reprogramming of cancer metabolism toward elevated glycolysis is a hallmark of mCRPC. Our goal is to identify therapeutics specifically associated with high glycolysis. Here, we established a computational framework to identify new pharmacological agents for mCRPC with heightened glycolysis activity under a tumor microenvironment, followed by in vitro validation. First, using our established computational tool, OncoPredict, we imputed the likelihood of drug responses to approximately 1900 agents in each mCRPC tumor from two large clinical patient cohorts. We selected drugs with predicted sensitivity highly correlated with glycolysis scores. In total, 77 drugs predicted to be more sensitive in high glycolysis mCRPC tumors were identified. These drugs represent diverse mechanisms of action. Three of the candidates, ivermectin, CNF2024, and P276-00, were selected for subsequent vitro validation based on the highest measured drug responses associated with glycolysis/OXPHOS in pan-cancer cell lines. By decreasing the input glucose level in culture media to mimic the mCRPC tumor microenvironments, we induced a high-glycolysis condition in PC3 cells and validated the projected higher sensitivity of all three drugs under this condition (p < 0.0001 for all drugs). For biomarker discovery, ivermectin and P276-00 were predicted to be more sensitive to mCRPC tumors with low androgen receptor activities and high glycolysis activities (AR(low)Gly(high)). In addition, we integrated a protein–protein interaction network and topological methods to identify biomarkers for these drug candidates. EEF1B2 and CCNA2 were identified as key biomarkers for ivermectin and CNF2024, respectively, through multiple independent biomarker nomination pipelines. In conclusion, this study offers new efficacious therapeutics beyond traditional androgen-deprivation therapies by precisely targeting mCRPC with high glycolysis.
The Therapeutic Potential of Essential Oils in Managing Inflammatory Skin Conditions: A Scoping Review
Authors: Dontje Anouk E. W. K. , Schuiling-Veninga Catharina C. M. , van Hunsel Florence P. A. M. , Ekhart Corine , Demirci Fatih , Woerdenbag Herman J.
Published: May 2024

Conventional therapy is commonly used for the treatment of inflammatory skin conditions, but undesirable effects, such as erythema, dryness, skin thinning, and resistance to treatment, may cause poor patient compliance. Therefore, patients may seek complementary treatment with herbal plant products including essential oils (EOs). This scoping review aims to generate a broad overview of the EOs used to treat inflammatory skin conditions, namely, acne vulgaris, dermatitis and eczema, psoriasis, and rosacea, in a clinical setting. The quality, efficacy, and safety of various EOs, as well as the way in which they are prepared, are reviewed, and the potential, as well as the limitations, of EOs for the treatment of inflammatory skin conditions are discussed. Twenty-nine eligible studies (case studies, uncontrolled clinical studies, and randomized clinical studies) on the applications of EOs for inflammatory skin conditions were retrieved from scientific electronic databases (PubMed, Embase, Scopus, and the Cochrane Library). As an initial result, tea tree (Melaleuca alternifolia) oil emerged as the most studied EO. The clinical studies with tea tree oil gel for acne treatment showed an efficacy with fewer adverse reactions compared to conventional treatments. The uncontrolled studies indicated the potential efficacy of ajwain (Trachyspermum ammi) oil, eucalyptus (Eucalyptus globulus) oil, and cedarwood (Cedrus libani) oil in the treatment of acne, but further research is required to reach conclusive evidence. The placebo-controlled studies revealed the positive effects of kānuka (Kunzea ericoides) oil and frankincense (Boswellia spp.) oil in the treatment of psoriasis and eczema. The quality verification of the EO products was inconsistent, with some studies lacking analyses and transparency. The quality limitations of some studies included a small sample size, a short duration, and the absence of a control group. This present review underscores the need for extended, well-designed clinical studies to further assess the efficacy and safety of EOs for treating inflammatory skin conditions with products of assured quality and to further elucidate the mechanisms of action involved.
Group Control of Photo-Responsive Colloidal Motors with a Structured Light Field
Authors: Li Dianyang , Wei Huan , Fang Hui , Gao Yongxiang
Published: May 2024

Using structured light to drive colloidal motors, due to its advantages of remote manipulation, energy tunability, programmability, and the controllability of spatiotemporal distribution, has been attracting much attention in the fields of targeted drug delivery, environmental control, chemical agent detection, and smart device design. Here, we focus on studying the group control of colloidal motors made from a photo-responsive organic polymer molecule NO-COP (N,O-Covalent organic polymer). These colloidal motors mainly respond to light intensity patterns. Considering its merits of fast refreshing speed, good programmability, and high-power threshold, we chose a digital micromirror device (DMD) to modulate the structured light field shining on the sample. It was found that under ultraviolet or green light modulation, such colloidal motors exhibit various group behaviors including group spreading, group patterning, and group migration. A qualitative interpretation is also provided for these observations.
A Novel Preparation Method of Composite Bolted T-Joint with High Bending Performance Based on the Prepreg-RTM Co-Curing Process
Authors: Zhang Tao , Luo Zhitao , Deng Jinxin , Pei Yuchen , Cheng Xiaoquan
Published: May 2024

A co-curing resin system consisting of 9368 epoxy resin for prepreg and 6808 epoxy resin for resin transfer molding (RTM) was developed. A corresponding preparation method for a novel polymer composite bolted T-joint with internal skeleton and external skin was proposed based on the prepreg-RTM co-curing process, and novel T-joints were fabricated. A series of conventional configuration T-joints based on the RTM process and T-joints made of 2A12 aluminum alloy were prepared simultaneously. Bending performances were studied on these T-joints experimentally. The results indicate that 9368 epoxy resin and 6808 epoxy resin exhibit good compatibility in rheological and thermophysical properties. The novel T-joints prepared with the prepreg-RTM co-curing process show no obvious fiber local winding or resin-rich regions inside, and the interface quality between the internal skeleton and the external skin is excellent. The main failure modes of the novel T-joint under bending load include the separation of the skin and skeleton and the fracture along the thickness on the base panel; the skeleton carries the main bending load, but there is still load transfer between external skin and internal skeleton through their interface. The internal damages of the novel T-joint are highly consistent with surface damages observed visually, facilitating the detection and timely discovery of damages. The initial stiffness, damage initiation load, and ultimate load of the novel T-joint are 1.65 times, 5.89 times, and 3.45 times that of the conventional T-joint, respectively. When considering the influence of the density, the relative initial stiffness and relative ultimate load of the novel T-joint are 1.44 times and 2.07 times that of the aluminum alloy T-joint, respectively.
Self-Assembled Block Copolymers as a Facile Pathway to Create Functional Nanobiosensor and Nanobiomaterial Surfaces
Authors: Sytu Marion Ryan C. , Cho David H. , Hahm Jong-in
Published: May 2024

Block copolymer (BCP) surfaces permit an exquisite level of nanoscale control in biomolecular assemblies solely based on self-assembly. Owing to this, BCP-based biomolecular assembly represents a much-needed, new paradigm for creating nanobiosensors and nanobiomaterials without the need for costly and time-consuming fabrication steps. Research endeavors in the BCP nanobiotechnology field have led to stimulating results that can promote our current understanding of biomolecular interactions at a solid interface to the never-explored size regimes comparable to individual biomolecules. Encouraging research outcomes have also been reported for the stability and activity of biomolecules bound on BCP thin film surfaces. A wide range of single and multicomponent biomolecules and BCP systems has been assessed to substantiate the potential utility in practical applications as next-generation nanobiosensors, nanobiodevices, and biomaterials. To this end, this Review highlights pioneering research efforts made in the BCP nanobiotechnology area. The discussions will be focused on those works particularly pertaining to nanoscale surface assembly of functional biomolecules, biomolecular interaction properties unique to nanoscale polymer interfaces, functionality of nanoscale surface-bound biomolecules, and specific examples in biosensing. Systems involving the incorporation of biomolecules as one of the blocks in BCPs, i.e., DNA–BCP hybrids, protein–BCP conjugates, and isolated BCP micelles of bioligand carriers used in drug delivery, are outside of the scope of this Review. Looking ahead, there awaits plenty of exciting research opportunities to advance the research field of BCP nanobiotechnology by capitalizing on the fundamental groundwork laid so far for the biomolecular interactions on BCP surfaces. In order to better guide the path forward, key fundamental questions yet to be addressed by the field are identified. In addition, future research directions of BCP nanobiotechnology are contemplated in the concluding section of this Review.
Transparent Cellulose/Multi-Walled Carbon Nanotube Hybrids with Improved Ultraviolet-Shielding Properties Prepared from Cotton Textile Waste
Authors: Xu Zhen , Ma Yingying , Yao Xiaohui , Wang Hongxu , Zhang Qian , Ma Qiance , Zhang Zhanrui , Xia Guangmei , Zhang Jinming , Zhang Fengshan
Published: May 2024

Plastics offer many advantages and are widely used in various fields. Nevertheless, most plastics derived from petroleum are slow to degrade due to their stable polymer structure, posing serious threats to organisms and ecosystems. Thus, developing environmentally friendly and biodegradable plastics is imperative. In this study, biodegradable cellulose/multi-walled carbon nanotube (MCNT) hybrid gels and films with improved ultraviolet-shielding properties were successfully prepared using cotton textile waste as a resource. It was proven that MCNTs can be dispersed evenly in cellulose without any chemical or physical pretreatment. It was found that the contents of MCNTs had obvious effects on the structures and properties of hybrid films. Particularly, the averaged transmittance of cellulose/MCNT composite films in the range of 320–400 nm (T320–400) and 290–320 nm (T290–320) can be as low as 19.91% and 16.09%, when the content of MCNTs was 4.0%, much lower than those of pure cellulose films (T320–400: 84.12% and T290–320: 80.03%). Meanwhile, the water contact angles of the cellulose/MCNT films were increased by increasing the content of MCNTs. Most importantly, the mechanical performance of cellulose/MCNT films could be controlled by the additives of glycerol and MCNTs. The tensile strength of the cellulose/MCNT films was able to reach as high as 20.58 MPa, while the elongation at break was about 31.35%. To summarize, transparent cellulose/MCNT composites with enhanced ultraviolet-shielding properties can be manufactured successfully from low-cost cotton textile waste, which is beneficial not only in terms of environmental protection, but also the utilization of natural resources.
Defences, Human Nature, and Spiritual Awakening: A Christian Counselling Perspective
Authors: Lam Angel Suet Man
Published: May 2024

This article delves into the intricacies of human defences in various domains, including the biological and psychological responses to protect oneself, and the abstract concept of sacrificing one’s life to uphold ethical, moral, religious, and spiritual values. While physical, psychological, and moral values have been attended to in counselling, regard for the religious and spiritual aspects is still developing. As the author writes from a Christian perspective, Christian faith and values are considered. It is posited that a study of human nature, as presented in the Christian Bible, can facilitate a profound comprehension of human defences. The paper scrutinizes the correlation between “human defences” and “Christian spirituality” through a Christian lens on human nature. Furthermore, it introduces the idea of “spiritual defence” and how it is related to a spiritual awakening.
Harmonious Accommodation among Coexisting Multicultural Ethical Frameworks through Confrontation
Authors: Liang Yuchen
Published: May 2024

This paper interrogates the skepticism surrounding comparative ethics, particularly the question of its relevance in a world where ethical decision-making processes are primarily presumed to be dictated by one universalist culture. The paper argues that all cultures are inherently intercultural, evidenced by the historical coexistence of ideas and practices. Post-comparative ethics, which emphasizes the situational application of intellectual comparison and integration, is inevitable for postcolonial, non-Western societies. Historically, societies have navigated a variety of ethical frameworks, with some, like medieval Chinese society, embracing a plurality of beliefs. This pluralism is exemplified by the harmonious accommodation (yuanrong 圓融) of Confucianism, Daoism, and Buddhism. Using the example of Song Dynasty Chan master Dahui Zonggao 大慧宗杲, this article illustrates that intercultural ethics can be both diverse and sincere. Dahui’s pluralistic approach demonstrates that sincere commitment to multiple ethical systems is possible in our multicultural situation. I will discuss common approaches to the multicultural situation, such as expedient synthesis, theoretical synthesis, and crude syncretism, before illustrating the advantage of Dahui’s kanhua 看話禪method as harmonious accommodation through confrontation. This underscores the importance of shifting the debate from “Why compare?” to “How to compare?” in achieving the accommodation of different ethical frameworks.
An Imaginary Byzantium in Early Islam: Byzantium as Viewed through the Sīra Literature
Authors: Yahyaoui Yassine
Published: May 2024

This article examines the emergence of new representations of Byzantium in early Arabic literature, with a focus on the Sīra, the biography of the Prophet Muḥammad. This historical investigation leads to a dual conclusions that the Arab perception of Byzantium not only forged an “imaginary Byzantium” but also marked the emergence of Arab self-consciousness. This process significantly influenced the Arab historical and cultural narratives, framing them within the context of the Arabic identity that emerged in late antiquity. Nevertheless, this relationship between the early Islamic community and Byzantium does little to confirm accurate knowledge about Byzantium, rendering the emerging representations as not truly reflective of “reality”, but rather presenting us with an “imaginary Byzantium”. This applies whether related to events in the 1st/7th century or the transition from oral to written texts during the 2nd/8th and 3rd/9th centuries. Furthermore, these representations reveal more about the creators of this imaginary than the other itself, shedding light on the motives of early Muslim writers who used the Sīra as a vehicle for these imaginaries. Ultimately, the article identifies, through the textual analysis and historical contextualization of Sīra, two narrative layers therein that are related to the imaginary Byzantium. The first layer reflected a pervasive fear of Byzantium, while the second layer represented an attitude of challenge and rivalry.
Celebrating Fifty Years of Jewish Pride: An Autoethnographic View on Queerness, Diaspora and Homeland in an American Gay Synagogue
Authors: Ben-Lulu Elazar
Published: May 2024

Anthropologists of religion are preoccupied with questions of identity, community, performance and representation. One way they cope with these concerns is through a reflexive examination of their ethnographic positionality in the field. This provides an opportunity to engage not only with “the other”, but also to explore their own identities and background. This article presents an autoethnographic analysis of Pride Shabbat, a special service held in June to celebrate the intersection of Judaism and queerness. The service took place at Congregation Beit Simchat Torah (CBST) as part of their 50th-anniversary celebration. Since the 1970s, CBST has been known as the largest gay synagogue in the world and provided diverse religious and spiritual services to the Jewish LGBTQ+ community. Based on my participation in this specific event in June 2023, I draw distinct differences between the Israeli Jewish LGBTQ community and the American Jewish LGBTQ community, such as issues related to ageism and multigenerational perceptions within the gay community, the internal dynamic for gender dominance, as well as diverse trajectories of queerness, religiosity and nationality. Symbolically, contrary to the common perception that the diaspora looks to the state of Israel for symbolic and actual existence, this inquiry sheds light on the opposite perspective; the homeland (represented by the ethnographer) absorbs and learns from the queer Jewish practices and experiences taking place within the diaspora (the American Jewish LGBTQ community). This is an opposite movement which reveals the cracks in the perception of the gay community as a transnational community, as well as the tense power relations between Israel and American Jewry.
Constructing the Buddha’s Life in Early Buddhist Monastic Arrangements at Nagarjunakonda
Authors: Kim Young-Jae
Published: May 2024

This study investigates the rationale behind the combination of Buddha mahāstūpas (mahācetiyas) and cetiyas (caityas) within a Buddhist monastery. In integrating a broader intellectual program, the universality of the concept is exemplified, wherein “mahācetiya and cetiya” are combined to symbolize the life of Buddha through architectural arrangements. Adopting a broader intellectual program grounded in the causality principle signifies an inclination toward universality. These combinations represent sacred places and events in Buddha’s life, from birth to Mahaparinirvana. They encompass significant moments, such as great departures, meditation, enlightenment, and preaching. The synthesis of mahācetiyas and apsidal shrines was a pivotal moment at the site, guided by the Mahāsaṅghika School, representing an innovative invention in the pursuit of narrative framing of Buddha’s biography.
The Prolonged Path of Indigenization: A Study on German Protestant Missionary Ernst Faber’s Chinese Literary Works
Authors: Shi Ruotong , Zhang Hanyi
Published: May 2024

Ernst Faber’s 34 years of literary missionary works reveal his commitment to refining his approach to indigenizing Christianity in China. Employing three linguistic and cultural adaptation strategies—translation and commentary of the Bible, examination and analysis of missionary practical outcomes in Western society, and the revision and reinterpretation of Chinese classics incorporating Christian insights—Faber adapted his methods gradually into China’s specific conditions, indicating a prolonged path of indigenization. Despite expressing appreciation for Chinese culture, a critical examination reveals the preservation of his cultural biases and an unwavering commitment to Christianity as a means of purifying and enriching the spirit of the Chinese people. Rooted in the political context of his time and confidence in European historical world missions, Faber’s indigenization strategy in his Chinese literary works represents an interplay of cultural adaptation and resistance.
Synchronizing Missio Dei with Process Theology and Theodicy
Authors: Thinane Jonas Sello
Published: May 2024

Since the second half of the 20th century, missiology has continued to elevate Missio Dei to a topic of the highest importance in theology. According to Missio Dei, the salvific mission is more theocentric than anthropocentric in that its actuality is wholly rooted in the nature of God. However, much work remains to be conducted to evaluate and reconcile the modern interpretation of the Missio Dei and its predecessor theological doctrines, to avoid illogicalities. Consequently, the responsibility to identify any discrepancies in the systematic knowledge of the Missio Dei falls on the broad shoulders of theology in general, but of missiology in particular. In keeping with this unavoidable intellectual duty, this article interrogates the literature on modern theodicies to improve the conceptualization of the Missio Dei and missionary God in the context of evil and human suffering. The inter-comparative analysis of the biblical Job serves to relate divine perfection and human suffering within process theodicy. Consequently, the intellectual enterprise of this work, with all its shortcomings, not only illuminates another facet of Missio Dei but also motivates further investigation to reconcile mission Dei with the reality of evil, free will, and human suffering.
Historical Sacral Objects as Places of Prayer—But Not Only: Towards Multifunctionality
Authors: Kotlińska Janina Beata
Published: May 2024

Under conditions of rises in the maintenance costs of religious objects, declining numbers of visitors to most of them, and greater public awareness of their potential, the following is becoming important: (1) the pressure to increase the ways in which their space is used and (2) to take advantage of the “added value” that these objects bring to the localities in which they are located. The owners of religious objects are increasing the functionality of these objects; therefore, they can expect more financial support for their maintenance, including from public resources. Local entrepreneurs undertake and develop types of economic activities that are directly or indirectly related to the existence of the designated objects in the area, and the local government, thanks to the tax revenue raised from them, improves the standard of living of the people in the area. The purpose of this article is to collect, organize, and systematize the knowledge of the functions of Christian historic religious objects and the possibility of their influence on the external environment. This study fills a research gap in this area, for the information on this topic in the literature is scattered and unstructured. The method used in this study is a critical analysis of legal acts and literature. From the analysis, it is clear that Christian religious buildings today perform multiple functions. In addition, the strength of their impact on the external environment creates the economic development of an area and results in an increase in the income level of its inhabitants.
Estimating Landfill Landslide Probability Using SAR Satellite Products: A Novel Approach
Authors: García-Gutiérrez Adrián , Gonzalo Jesús , Rubio Carlos , Corvino Maria Michela
Published: May 2024

This article presents a methodology for evaluating the susceptibility of landfill areas to develop landslides by analyzing Synthetic Aperture Radar (SAR) satellite products. The deformation velocity of the landfills is computed through the Persistent Scatterer Method on SAR imagery. These data, combined with a deformation model based on the shallow water equations (SWE), form the foundation for a Monte Carlo experiment that extrapolates the current state of the landfill into the future. The results of this simulation are then employed to determine the probability of a landslide occurrence. In order to validate the methodology effectiveness, a case study is conducted on a landfill in Zaldibar, Spain, revealing its effectiveness in estimating the probability of landfill landslides. This innovative approach emerges as an asset in large landfill management, acting as a proactive tool for identifying high-risk sites and preventing potential landslides, ultimately safeguarding human life and the environment. By providing insights into landslide probabilities, this study enhances decision-making processes and facilitates the development of intervention strategies in the domain of landfill risk assessment and management.
Can Citizens Do Science? Science in Common and Social Responsibility
Authors: Aberasturi Rodríguez Ainara , Bandera Ignacio Fierro , Navarro-Pedreño Jose
Published: May 2024

Citizen science is an effective tool that unites ordinary citizens and scientists for a common cause. In particular, this tool enables ordinary citizens to participate in research and increases the likelihood of generating new knowledge. It is seen as the democratization of science. It is mainly applied in developed countries, and citizens usually help obtain environmental data with emerging technologies. However, training citizens to obtain good-quality data is one of the most significant challenges. It is also important to involve citizens in other phases, such as data analysis, discussion, and knowledge generation. Citizen science can be a tool for integrating different groups in science to promote social inclusion, including environmental, agricultural, earth, and life sciences. Thus, citizen science can contribute to education, sustainability, and climate change mitigation.
Fertilizers’ Impact on Grassland in Northeastern Romania
Authors: Culicov Otilia A. , Tarcau Doina , Zinicovscaia Inga , Duliu Octavian G. , Stavarache Mihai , Vintu Vasile
Published: May 2024

In order to obtain more data concerning the influence of fertilizers (organic and mineral) on different forage plants in the northeastern Romanian grassland, the mass fractions of 14 essential, enzymatic, or toxic elements were determined by instrumental neutron activation analysis together with the amount of crude proteins, ash, fibers, as well as fat ether extract. The final results showed a significant variance in the content of analyzed elements on organic as well as on mineral fertilized experimental plots. At the same time, increased content of crude protein and fat ether extract was evident in fertilized grasses for all applied fertilizers, while other global indicators such as neutral and acid fibers of sulfuric lignin content decreased, suggesting significantly higher nutritional values for fertilized forage plants.
Managing Rockfall Hazard on Strategic Linear Stakes: How Can Machine Learning Help to Better Predict Periods of Increased Rockfall Activity?
Authors: Chanut Marie-Aurélie , Courteille Hermann , Lévy Clara , Atto Abdourrahmane , Meignan Lucas , Trouvé Emmanuel , Gasc-Barbier Muriel
Published: May 2024

When rockfalls hit and damage linear stakes such as roads or railways, the access to critical infrastructures (hospitals, schools, factories …) might be disturbed or stopped. Rockfall risk management often involves building protective structures that are traditionally based on the intensive use of resources such as steel or concrete. However, these solutions are expensive, considering their construction and maintenance, and it is very difficult to protect long linear stakes. A more sustainable and effective risk management strategy could be to account for changes on rockfall activity related to weather conditions. By integrating sustainability principles, we can implement mitigation measures that are less resource-intensive and more adaptable to environmental changes. For instance, instead of solely relying on physical barriers, solutions could include measures such as restriction of access, monitoring and mobilization of emergency kits containing eco-friendly materials. A critical step in developing such a strategy is accurately predicting periods of increased rockfall activity according to meteorological triggers. In this paper, we test four machine learning models to predict rockfalls on the National Road 1 at La Réunion, a key road for the socio-economic life of the island. Rainfall and rockfall data are used as inputs of the predictive models. We show that a set of features derived from the rainfall and rockfall data can predict rockfall with performances very close and almost slightly better than the standard expert model used for operational management. Metrics describing the performance of these models are translated in operational terms, such as road safety or the duration of road closings and openings, providing actionable insights for sustainable risk management practices.
Revealing Daily Mobility Pattern Disparities of Monomodal and Multimodal Travelers through a Multi-Layer Cluster Analysis: Insights from a Combined Big Dataset
Authors: Zhao Jingyao , Zhang Fan , Gao Lei , Han Chunhai , Chen Xiongxiong
Published: May 2024

More detailed and precise mobility patterns are needed for policies to reduce monomodal automotive dependency and promote multimodality in travel behaviors. Yet, empirical evidence from an integrated view of a complete door-to-door trip mode chain with daily mobility for pattern identification is still lacking. As an improvement and a solution on this issue, a multi-layer cluster model was designed and proposed for distinguishing 20 mobility pattern clusters, including six monomodal traveler groups, two non-transit multimodal traveler groups, and 12 transit multimodal based on big data mining. Statistical analysis with seven indicator measurements and a spatial distribution analysis with the Kernel density GIS maps of travelers’ residential location were carried out to reveal significant disparities across pattern clusters concerning spatial, social, and trip characteristics, based on which more precise and target policies for each group were discussed. This research may help provide more detailed information in establishing traveler mobility pattern profiles and solutions in filling the planning–implementation gap from the perspective of planners, policymakers, and travelers.
Identifying and Dealing with Interdependencies and Conflicts between Goals in Manufacturing Companies’ Sustainability Measures
Authors: Koch David , Sauer Alexander
Published: May 2024

Companies are increasingly focusing on sustainable business practices. Internal and external stakeholders’ expectations manifest in legal requirements, national and international standards, and market and customer expectations, among other things, must be considered. In addition to profit maximization, which is the usual target for corporate management, management must consider environmental sustainability aspects such as resource efficiency, greenhouse gas intensity, and a company’s emissions behavior. In addition, social aspects related to the company’s employees, the immediate urban environment, the situation in the supply chain, and effects on the market environment must increasingly be considered. Specifically, companies are faced with the challenge of dealing with conflicting objectives regarding the various aspects of sustainability and, if necessary, weighing them up against each other. These trade-offs must be made against the company’s socio-economic and ecological environment, corporate strategy, and sustainability goals. This paper provides an overview of current approaches and research gaps on this topic through a literature review. It highlights the lack of methods and frameworks to specifically deal with trade-offs and conflicts between goals.
Analysis of the Surrounding Rock Full-Displacement Variation in Large-Span Mudstone Highway Tunnels
Authors: Chi Dechao , Luo Yanbin , Chen Chengwei , Wang Shengqing , Wu Yunfei , Hu Yuhang
Published: May 2024

Due to the increasing development of highway reconstruction and expansion projects in China, many large-span highway tunnels are being constructed near existing highway tunnels. Tunneling underneath will inevitably cause variation in the surrounding rock displacement and may even lead to collapse. In this study, based on an analysis of extensive field monitoring data from the Gucheng tunnel, the variation law for the surrounding rock full-displacement and the influence of the tunnel-face spatial effect in a large-span mudstone tunnel are analyzed. The change in the full displacement experienced the following sequence: slow pre-displacement growth → rapid increase → slow increase → gradual stability. The displacement released by the excavation of the tunnel construction accounts for 40~60% of the total displacement, and the closer to the excavation contour, the more obvious the displacement release. The final convergence value of vertical displacement is obtained by hyperbolic function regression prediction analysis. Based on this value, Lee and Hoek equations are used for parameter analysis and field-data fitting. It is concluded that the larger the proportion of the early displacement of the surrounding rock before construction to the total displacement, the smaller the influence of the tunnel-face spatial effect on the surrounding rock. The numerical simulation results are compared with actual monitoring results, and good agreement is observed. The larger the burial depth of the tunnel, the smaller the influence range in the tunnel-face spatial effect, and the more concentrated the displacement release. The variation law and the influential range for the surrounding rock full-displacement described in this paper can provide a reference for predicting and controlling the deformation during the construction of future large-span mudstone tunnels.
Attached Flows for Reaction–Diffusion Processes Described by a Generalized Dodd–Bullough–Mikhailov Equation
Authors: Ionescu Carmen , Petrisor Iulian
Published: May 2024

This paper uses the attached flow method for solving nonlinear second-order differential equations of the reaction–diffusion type. The key steps of the method consist of the following: (i) reducing the differentiability order by defining the first derivative of the variable as a new variable called the flow and (ii) a forced decomposition of the derivative-free term so that the flow appears explicitly in it. The resulting reduced equation is solved using specific balancing rules. Only step (i) would lead to an Abel-type equation with complicated integral solutions. Completed with (ii) and with the graduation procedure, the attached flow method used in the paper, without requiring such a great effort, allows for the obtaining of accurate analytical solutions. The method is applied here to a subclass of reaction–diffusion equations, the generalized Dodd–Bulough–Mikhailov equation, which includes a translation of the variable and nonlinearities up to order five. The equation is solved for each order of nonlinearity, and the solutions are discussed following the values of the parameters involved in the equation.
A Hybrid Swarming Algorithm for Adaptive Enhancement of Low-Illumination Images
Authors: Zhang Yi , Liu Xinyu , Lv Yang
Published: May 2024

This paper presents an improved swarming algorithm that enhances low-illumination images. The algorithm combines a hybrid Harris Eagle algorithm with double gamma (IHHO-BIGA) and incomplete beta (IHHO-NBeta) functions. This paper integrates the concept of symmetry into the improvement steps of the image adaptive enhancement algorithm. The enhanced algorithm integrates chaotic mapping for population initialization, a nonlinear formula for prey energy calculation, spiral motion from the black widow algorithm for global search enhancement, a nonlinear inertia weight factor inspired by particle swarm optimization, and a modified Levy flight strategy to prevent premature convergence to local optima. This paper compares the algorithm’s performance with other swarm intelligence algorithms using commonly used test functions. The algorithm’s performance is compared against several emerging swarm intelligence algorithms using commonly used test functions, with results demonstrating its superior performance. The improved Harris Eagle algorithm is then applied for image adaptive enhancement, and its effectiveness is evaluated on five low-illumination images from the LOL dataset. The proposed method is compared to three common image enhancement techniques and the IHHO-BIGA and IHHO-NBeta methods. The experimental results reveal that the proposed approach achieves optimal visual perception and enhanced image evaluation metrics, outperforming the existing techniques. Notably, the standard deviation data of the first image show that the IHHO-NBeta method enhances the image by 8.26%, 120.91%, 126.85%, and 164.02% compared with IHHO-BIGA, the single-scale Retinex enhancement method, the homomorphic filtering method, and the limited contrast adaptive histogram equalization method, respectively. The processing time of the improved method is also better than the previous heuristic algorithm.
Coplanar Waveguide (CPW) Loaded with Symmetric Circular and Polygonal Split-Ring Resonator (SRR) Shapes
Authors: Harnsoongnoen Supakorn , Srisai Saksun , Kongkeaw Pongsathorn
Published: May 2024

This paper investigates the performance of coplanar waveguide (CPW) structures loaded with symmetric circular and polygonal split-ring resonators (SRRs) for microwave and RF applications, leveraging their unique electromagnetic properties. These properties make them suitable for metamaterials, sensors, filters, resonators, antennas, and communication systems. The objectives of this study are to analyze the impact of different SRR shapes on the transmission characteristics of CPWs and to explore their potential for realizing compact and efficient microwave components. The CPW-SRR structures are fabricated on a dielectric substrate, and their transmission properties and spectrogram are experimentally characterized in the frequency range of 4 GHz to 10 GHz with the rotation angles of the SRR gap. The simulation results demonstrate that the resonant frequencies and magnitude of the transmission coefficient of the CPW-SRR structures are influenced by the geometry of the SRR shapes and the rotation angles of the SRR gap, with certain shapes exhibiting enhanced performance characteristics compared to others. Moreover, the symmetric circular and polygonal SRRs offer design flexibility and enable the realization of miniaturized microwave components with improved performance metrics. Overall, this study provides valuable insights into the design and optimization of CPW-based microwave circuits utilizing symmetric SRR shapes, paving the way for advancements in the miniaturization and integration of RF systems.
Numerical Investigations on the Jet Dynamics during Cavitation Bubble Collapsing between Dual Particles
Authors: Wang Zhifeng , Feng Zhengyang , Hu Jinsen , Zhang Yuning , Zhang Yuning
Published: May 2024

The jet dynamics during cavitation bubble collapsing between unequal-sized dual particles are investigated utilizing a numerical model that combines the finite volume approach alongside the volume of fluid approach. The model incorporates the compressibility of the two-phase fluid and accounts for mass and heat transfer between two phases. The computational model utilizes an axisymmetric model, where the axis of symmetry is defined as the line that connects the centers of the particles and the bubble. A comprehensive analysis is presented on the influence of the particle radius and bubble–particle distance on the jet behavior. Furthermore, the variations of surface pressure on the particles induced by jet impingement are quantitatively analyzed. Four distinct jet behaviors are categorized, depending on the formation mechanism, as well as the number and the direction of the jets. For case 1, the bubble produces a single jet directed toward a small particle; for case 2, the bubble fragments produces double jets receding from each other; for case 3, the bubble produces double jets approaching each other; and for case 4, the bubble produces a single jet directed toward a large particle. The pressure perturbations induced by jet impingement upon the particles exceed those caused by shock wave impacts. The larger the bubble volume at the moment of jet formation, the longer the duration of the pressure variation caused by the jet impinging on the particles.
Applications of Symmetry-Enhanced Physics-Informed Neural Networks in High-Pressure Gas Flow Simulations in Pipelines
Authors: Alpar Sultan , Faizulin Rinat , Tokmukhamedova Fatima , Daineko Yevgeniya
Published: May 2024

This article presents a detailed examination of the methodology and modeling tools utilized to analyze gas flows in pipelines, rooted in the fundamental principles of gas dynamics. The methodology integrates numerical simulations with modern neural network techniques, particularly focusing on the PINN utilizing the continuous symmetry data inherent in PDEs, which is called the symmetry-enhanced Physics-Informed Neural Network. This innovative approach combines artificial neural networks (ANNs) integrating physical equations, which provide enhanced efficiency and accuracy when modeling various complex processes related to physics with a symmetric and asymmetric nature. The presented mathematical model, based on the system of Euler equations, has been carefully implemented using Python language. Verification with analytical solutions ensures the accuracy and reliability of the computations. In this research, a comparative and comprehensive analysis was carried out comparing the outcomes obtained using the symmetry-enhanced PINN method and those from conventional computational fluid dynamics (CFD) approaches. The analysis highlighted the advantages of the symmetry-enhanced PINN method, which produced smoother pressure and velocity fluctuation profiles while reducing the computation time, demonstrating its capacity as a revolutionary modeling tool. The estimated results derived from this study are of paramount importance for ensuring ongoing energy supply reliability and can also be used to create predictive models related to gas behavior in pipelines. The application of modeling techniques for gas flow simulations has the potential to improve the integrity of our energy infrastructure and utilization of gas resources, contributing to advancing our understanding of symmetry principles in nature. However, it is crucial to emphasize that the effectiveness of such models relies on continuous monitoring and frequent updates to ensure alignment with real-world conditions. This research not only contributes to a deeper understanding of compressible gas flows but also underscores the crucial role of advanced modeling methodologies in the sustainable management of gas resources for both current and future generations. The numerical data covered the physics of the process related to the modeling of high-pressure gas flows in pipelines with regard to density, velocity and pressure, where the PINN model was able to outperform the classical CFD method for velocity by 170% and for pressure by 360%, based on L∞ values.