bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reef fish abundance enhancement through low-cost coral reef restoration practices: a case study in Tioman island, Malaysia
Authors: Baciero Alberto García , Herrero Álvaro García , Anderson Melissa , Berná Eva Horcajo , Gómez Guillermo García , Zamorano Juan Gallego 
Published: January 2024

Abstract
Coral reefs and their inhabitants are threatened by several anthropogenic impacts worldwide. While active coral conservation activities have emerged aiming to maintain reef ecological functions and services, the effect of coral restoration practices on high trophic levels is still poorly investigated. We assessed the effect of small-sized concrete structures on the fish community by comparing the early fish colonization between a treated area and a coral rubble area (used here as control) over 12 months with a monsoon period in between. The treated area nearly doubled in total fish abundance and species richness compared to the control, showing that this method can locally enhance the community of reef fish. Pomacentrus chrysurus was the dominant species in all areas, although Eviota distigma contributed the most to the average between-group dissimilarity between areas (8%, p = 0.02). Fish abundance also exhibited differences between fish life stages (adult, juvenile) (H = 28.852, p < 0.001), among trophic categories (carnivore, omnivore, herbivore, planktivore, and corallivore) (H = 90.615, p < 0.001), and between community types (cryptobenthic and non-cryptobenthic) (H = 52.084, p < 0.001). These effects seem to be boosted by a monsoon period, as the increase of species richness and fish abundance was steeper after the monsoon. Our study shows a positive influence on the reef fish community from the deployment of small-sized concrete structures and highlights human intervention as an essential factor in recovering these iconic ecosystems.
Fueling a Sustainable Future: Surmounting Challenges And Expanding The Frontisers Of Biogas Generation From Pig Slurry.
Authors: JOHNSON NNADIKWE 
Published: January 2024

Abstract
The Transition to a sustainable energy future present numerous challenge that require innovative solutions. This Research delves into the untapped potential of harnessing biogas from pig slurry as a renewable energy source, Highlighting the work conducted by the esteemed Nigerian institute of industrial statisticians (NIIS). As of June 2022, the production of pigs has reached a staggering 3.1 million specimens, creating a substantial opportunity for utilizing their slurry as an organic resource. Through meticulous analysis, it has been determined that pig slurry contains approximately 4,656kg of organic materials generated daily. Drawing from this resource, the daily biogas generation from the fermented pig slurry samples was calculated to be an impressive 1,024m3. Of particular note is the methane formation, which reaches a remarkable 615,615m3 per day, equivalent to an astounding energy output of 22,022Mj/day. The implications of this Research extend beyond mere energy generation. By embracing biogas production from pig slurry., we align ourselves with the United Nations sustainable Development Goals (SDGs). This approach directly contributes to SDGs 7 - Affordable and clean Energy, as well as SDGs12 -Responsible Consumption and production, and SDGs 13-climate Action. By utilizing an abundant waste stream and transforming it into a valuable energy Resource, we address the need for cleaner energy sources while promoting responsible Resource management and reducing greenhouse gas emissions. Expanding the frontiers of biogas generation from pig slurry holds greats promise in our pursuit of a sustainable future. By investing in Research and technology advancements, we can overcome the challenges associated with scaling up this process and maximize it's potential. This innovative approach not only aids in achieving our energy goals but also supports job creation, rural development, and environmental stewardship. Embracing biogas generation from pig slurry is a wise and forward -thinking solutions that addresses the pressing need for sustainable energy sources. By leveraging the findings from NIIS and aligning with the United Nations SDGs, we can create a cleaner and more resilient future, ensuring a balance between economic prosperity and environmental responsibility.
Utilising behavioural and sensory profiles and associated perinatal factors to identify meaningful subgroups in autism spectrum disorder.
Authors: Shirley Jane , John James Rufus , Montgomery Alicia , Whitehouse Andrew , Eapen Valsamma 
Published: January 2024

Abstract
Purpose
The heterogeneity of autism spectrum disorder (ASD) clinically and aetiologically hinders intervention matching and prediction of outcomes. This study investigated if the behavioural, sensory, and perinatal factor profiles of autistic children could be used to identify distinct subgroups.
Methods
Participants on the autism spectrum aged 2 to 17 years and their families were sourced via the Australian Autism Biobank (AAB) resource. Latent class analysis was used to identify subgroups within this cohort, utilising twenty-six latent variables representing child’s behavioural and sensory features and perinatal factors.
Results
4 distinct subgroups within the sample (n = 1168) distinguished by sensory and behavioural autism traits and exposure to perinatal determinants were identified. Class 2 and Class 4, which displayed the greatest behavioural and sensory impairment respectively, were associated with the highest perinatal factor exposure. Class 1, labelled “Most behavioural concerns and moderate sensory and behavioural skills concerns” had mixed exposure to perinatal determinants while Class 3, named “Least sensory and behavioural skills concerns” had the least perinatal determinant exposure, indicating a directly proportional correlation between severity of clinical features and perinatal factor exposure. Additionally, association between specific exposures such as maternal mental illness in Class 1 and significant behavioural concerns was recognised.
Conclusion
Identifying distinct subgroups among autistic children can lead to development of targeted interventions and supports. Close monitoring of children exposed to specific perinatal determinants for developmental differences could assist early intervention and supports.
Water quality's responses to water energy variability of the Yangtze River
Authors: Tian XueQi , Wang Hua , Liang Dongfang , Zeng Yichuan , Shen Yuhan , Yan Yuting , Li Siqiong 
Published: January 2024

Abstract
River energy serves as an indicator of pollutant-carrying capacity (PCC), influencing regional water quality dynamics. In this study, MIKE21 hydrodynamics-water quality models were developed for two scenarios, and grid-by-grid numerical integration of energy was conducted for the Yangtze River's mainstream. Comparison of predicted and measured values at monitoring points revealed a close fit, with average relative errors ranging from 5.17 to 8.37%. The concept of PCC was introduced to assess water flow's ability to transport pollutants during its course, elucidating the relationship between river energy and water quality. A relationship model between Unit Area Energy (UAE) and PCC was fitted (R2 = 0.8184). Temporally, reservoir construction enhanced the smoothness of UAE distribution by 74.47%, attributable to peak shaving and flow regulation. While this flood–drought season energy transfer reduced PCC differences, it concurrently amplified pollutant retention by 40.95%. Spatially, energy distribution fine-tuned PCC values, showcasing binary variation with energy changes and a critical threshold. Peak PCC values for TP, NH3-N, and COD were 2.46, 2.26, and 54.09 t/(km·a), respectively. These insights support local utility regulators and decision-makers in navigating low-carrying capacity, sensitive areas, enhancing targeted water protection measures for increased effectiveness and specificity.
Spatial constraints or spatial dynamics? The spatial spillover effect of networks of flood regulation service flows on land-use degree
Authors: Wang Tao , Li Hongbo 
Published: January 2024

Abstract

In the face of frequent floods under climate and environmental changes, it is particularly important to measure the supply and demand of flood regulation services. Using the Hainan Island as an illustrative case, this study constructs a spatial spillover model to examine the spatial correlation mode and evolution of regional land-use degree through the network of ecosystem service flow. The research results show that forests, grasslands, and reservoirs function as the primary suppliers of flood regulation services, with forests contributing significantly to the regulation of floods. High flood risk was identified in the eastern, northern, and western regions of the Hainan Island, corresponding to increased demand for flood regulation services in croplands, towns, and rural settlements within these areas. The flow of flood regulation services within the Hainan Island was found to be directed from the center to the surrounding areas, with medium and high service flows predominantly concentrated in the northern and surrounding regions. The degree of land use on the Hainan Island demonstrated an influence on socio-economic development. Additionally, the flow network of ecological services was identified as a crucial factor in spatial spillovers, reflecting the level of interaction between county units.
A systematic review on urban blue-green infrastructure in the south Asian region: recent advancements, applications, and challenges
Authors: Gupta Aman , De Bhaskar 
Published: January 2024

Abstract

This study uses a Systematic Literature Review (SLR) process to know the present status of research on urban Blue-Green Infrastructure (BGI) in the lower-middle-income countries of the South Asian region, specifically India, Bangladesh, Sri Lanka, Bhutan, Nepal, and Pakistan, which produced 77 relevant publications after detailed scanning published between 2013 and 2022. It was aimed to analyze variations on BGI's mentions in different regions, identify BGI components found in the literature and their uses to promote urban sustainability, research initiatives, and priorities, and identify knowledge gaps for future research. The review reveals significant differences in research distribution among countries, with the majority of the articles focusing on green spaces compared to bluescapes and concentrating on topics like local inhabitant's perception of urban green spaces, advantages of implementing nature-based solutions, the role of green infrastructures in minimizing the urban heat island effect, air pollution, etc. Articles highlighted the lack of governance and the challenges in implementing and designing a BGI network. However, articles discussing a holistic methodology to implement BGI for promoting urban sustainability were limited. Gaps still exist in determining the appropriate strategy for the scope identification, creation, management, and governance of BGI and integrating it with existing grey infrastructure.
Deciphering Multi-target Pharmacological Mechanism of Cucurbita pepo Seeds
against Kidney Stones: Network Pharmacology and Molecular Docking
Approach
Authors: Shahzadi Aqsa , Ashfaq Usman Ali , Khurshid Mohsin , Nisar Muhammad Atif , Syed Asad , Bahkali Ali H. 
Published: January 2024

background:
Urolithiasis is a prevalent condition with significant morbidity and economic implications. The economic burden associated with urolithiasis primarily stems from medical expenses. Previous literature suggests that herbal plants, including Cucurbita pepo, have lithotriptic capabilities. C. pepo is an annual, herbaceous, widely grown, and monoecious vegetative plant known for its antioxidants, fibers, and fatty acids. Recent studies on C. pepo seeds have shown therapeutic potential in reducing bladder stones and urodynamic illnesses like kidney stones. However, the precise molecular and pharmacological mechanisms are unclear.

objective:
In this research, we employed network pharmacology and molecular docking to examine the active compounds and biological mechanisms of Cucurbita pepo against kidney stones.

method:
Active constituents were obtained from previous studies and the IMPPAT database, with their targets predicted using Swiss target pre-diction. Kidney stone-associated genes were collected from DisGeNET and GeneCards. The active constituent–target-pathway network was constructed using Cytoscape, and the target protein-protein interaction network was generated using the STRING database. Gene enrichment analysis of C. pepo core targets was conducted through DAVID. Molecular docking was performed to identify potential kidney stone-fighting agents.

result:
The findings revealed that Cucurbita pepo contains 18 active components and has 192 potential gene targets, including AR, EGFR, ESR1, AKT1, MAPK3, SRC, and MTOR. Network analysis demonstrated that C. pepo seeds may prevent kidney stones by influencing disease-related signaling pathways. Molecular docking indicated that key kidney stone targets (mTOR, EGFR, AR, and ESR1) effectively bind with C. pepo&#039;s active constituents.

conclusion:
These findings provide insight into the anti-kidney stone effects of Cucurbita pepo at a molecular level. In conclusion, this study contributes to understanding the potential of Cucurbita pepo in combating kidney stones and lays the foundation for further research.
Molecular Targets and Mechanisms of Hedyotis diffusa Willd. for
Esophageal Adenocarcinoma Treatment Based on Network Pharmacology
and Weighted Gene Co-expression Network Analysis
Authors: Zhuang Yu , Sun Yun-Gang , Wang Chen-Guang , Zhang Qiang , Che Chao , Shao Feng 
Published: January 2024

Background::
Hedyotis diffusa Willd. (HDW) is a common anticancer herbal medicine
in China, and its therapeutic effectiveness has been demonstrated in a range of cancer patients.
There is no consensus about the therapeutic targets and molecular mechanisms of HDW, which
contains many active ingredients.

Aim::
To clarify the mechanism of HDW for esophageal adenocarcinoma (EAC), we utilized network
pharmacology and weighted gene co-expression network analysis methods (WGCNA).

Methods::
The gene modules that were linked with the clinical features of EAC were obtained
through the WGCNA method. Then, the potential target genes were retrieved through the network
pharmacology method in order to determine the targets of the active components. After enrichment
analysis, a variety of signaling pathways with significant ratios of target genes were found,
including regulation of trans-synaptic signaling, neuroactive ligand-receptor interaction and modulation
of chemical synaptic transmission. By means of protein-protein interaction (PPI) network
analysis, we have successfully identified the hub genes, which were AR, CNR1, GRIK1, MAPK10,
MAPT, PGR and PIK3R1.

Result::
Our study employed molecular docking simulations to evaluate the binding affinity of the
active components with the hub gene. The identified active anticancer constituents in HDW are
scopoletol, quercetin, ferulic acid, coumarin, and trans-4-methoxycinnamyl alcohol.

Conclusion::
Our findings shed light on the molecular underpinnings of HDW in the treatment of
EAC and hold great promise for the identification of potential HDW compounds and biomarkers
for EAC therapy.
Ferroptosis is Involved in the Pharmacological Effect of Ginsenoside
Authors: Feng Juling , Chen Haodong , Liu Yangbo , Ai Qidi , Yang Yantao , He Wenbin , Zhao Lei , Chu Shifeng , Chen Naihong 
Published: January 2024

Abstract:
Ginsenoside is the principal active ingredient in ginseng. Several investigations have
found that ginsenosides have anti-inflammatory, antioxidant, anti-apoptotic, anti-cancer, and antiallergic
activities. Ferroptosis is an iron-dependent, non-apoptotic form of cell-regulated death
caused by lipid peroxidation. Iron, lipid, and amino acid metabolism orchestrate the complex ferroptosis
response through direct or indirect regulation of iron accumulation or lipid peroxidation. More
and more research has demonstrated that ginsenoside impacts illnesses via ferroptosis, implying that
ferroptosis might be employed as a novel target of ginsenoside for disease therapy. This article examines
the molecular mechanism of ferroptosis as well as the current advancement of ginsenoside in
influencing disorders via ferroptosis.
Nanostructured Lipid Carrier-Mediated Transdermal Delivery System of
Glibenclamide for Gestational Diabetes: Pharmacokinetic and
Pharmacodynamic Evaluation
Authors: M. Ashwini , Sudheer Preethi , Sogali Bharani S. 
Published: January 2024

Background:
Gestational diabetes mellitus (GDM) poses significant risks during pregnancy
for both mother and fetus. Adherence to oral antidiabetic medications, like glibenclamide (GB),
can be challenging, necessitating novel drug delivery methods. Nanostructured lipid carriers (NLC)
offer a promising approach by efficiently permeating the skin due to their small size and lipid-based
composition.

Objective:
This study aimed to develop and evaluate transdermal patches loaded with glibenclamide
NLCs to treat GDM.

Methods:
Glibenclamide NLCs were prepared using hot homogenization with ultrasonication and
melt dispersion method. A central composite design was utilized to optimize the formulations. Transdermal
patches containing optimized NLCs were developed using HPMC K 100 and Eudragit L polymers.
The patches were evaluated for various parameters, and their pharmacokinetic and pharmacodynamic
studies were carried out to assess their safety and efficacy.

Results:
Optimized NLCs efficiently permeated rat skin. Cell viability studies indicated the nontoxicity
of the formulations. NLC-loaded transdermal patches (F2 and F7) showed drug release of
1098 μg/cm2 and 1001.83 μg/cm2 in 24 h, with a 2.5-fold higher flux and permeation coefficient than
the GB patch. Pharmacokinetic analysis revealed Tmax of 8 and 10 h and Cmax of 7127 ng/ml and 7960
ng/ml for F2 and F7, respectively, ensuring sustained drug action. AUC0-α was 625681 ng/ml·h and
363625 ng/ml·h for F2 and F7, respectively, indicating improved bioavailability.

Conclusion:
Transdermal patches incorporating NLCs hold promise for enhancing glibenclamide's
therapeutic efficacy in GDM treatment. Improved skin permeation, sustained drug release, and enhanced
bioavailability make NLC-based transdermal patches a potential alternative with better patient
compliance.
The Tumor Immune Microenvironment plays a Key Role in Driving the
Progression of Cholangiocarcinoma
Authors: Zhang Ye , Yan Hai-jiao , Wu Jun 
Published: January 2024

Abstract:
Cholangiocarcinoma (CCA) is an epithelial cancer distinguished by bile duct cell differentiation
and is also a fibroproliferative tumor. It is characterized by a dense mesenchyme and a
complex tumor immune microenvironment (TME). The TME comprises both cellular and non-cellular
components. The celluar component includes CCA cells, immune cells and mesenchymal
cells represented by the cancer-associated fibroblasts (CAFs), while the non-cellular component is
represented by mesenchymal elements such as the extracellular matrix (ECM). Recent studies
have demonstrated the important role of the TME in the development, progression, and treatment
resistance of CCA. These cell-associated prognostic markers as well as intercellular connections,
may serve as potential therapeutic targets and could inspire new treatment approaches for CCA in
the future. This paper aims to summarize the current understanding of CCA's immune microenvironment,
focusing on immune cells, mesenchymal cells, ECM, intercellular interactions, and
metabolism within the microenvironment.
Mapping the Cardiometabolic Patient Experience and Self-Care Behaviors to Inform Design, Implementation, and Persistent Use of Digital Health Care Solutions: Mixed Methods Study
Authors: Liska Jan , Mical Marie , Maillard Christophe , Dessapt Cécile , Bendig Europa , Mai Daniel , Piette John D , De Geest Sabina , Fontaine Guillaume 
Published: January 2024

Background
Cardiometabolic conditions including acute coronary syndrome (ACS) and type 2 diabetes (T2D) require comprehensive care and patient engagement in self-care behaviors, and the drivers of those behaviors at the individual and health system level are still poorly understood.

Objective
We aim to gain insights into self-care behaviors of individuals with cardiometabolic conditions.

Methods
A convenience sample of 98 adult patients with ACS and T2D was recruited in the United States, Germany, and Taiwan to participate in a mixed methods study using ethnographic methods. All participants completed 7-day web-based diaries tracking their level of engagement, and 48 completed 90-minute web-based semistructured interviews between February 4, 2021, and March 27, 2021, focusing on themes including moments of engagement. Qualitative analysis identified factors influencing self-care practices and a Patient Mind States Model prototype.

Results
Patient reports indicate that many patients feel social pressure to adhere to treatment. Patients’ experience can be understood within 5 categories defined in terms of their degree of engagement and adherence (“ignoring,” “struggling,” “juggling,” “controlling,” and “reframing”).

Conclusions
For people living with ACS and T2D, the self-care journey is defined by patterns of patient experiences, which can identify areas that tailored digital health care interventions may play a meaningful role.
Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications
Authors: Weidener Lukas , Fischer Michael 
Published: January 2024

Background
The integration of artificial intelligence (AI)–based applications in the medical field has increased significantly, offering potential improvements in patient care and diagnostics. However, alongside these advancements, there is growing concern about ethical considerations, such as bias, informed consent, and trust in the development of these technologies.

Objective
This study aims to assess the role of ethics in the development of AI-based applications in medicine. Furthermore, this study focuses on the potential consequences of neglecting ethical considerations in AI development, particularly their impact on patients and physicians.

Methods
Qualitative content analysis was used to analyze the responses from expert interviews. Experts were selected based on their involvement in the research or practical development of AI-based applications in medicine for at least 5 years, leading to the inclusion of 7 experts in the study.

Results
The analysis revealed 3 main categories and 7 subcategories reflecting a wide range of views on the role of ethics in AI development. This variance underscores the subjectivity and complexity of integrating ethics into the development of AI in medicine. Although some experts view ethics as fundamental, others prioritize performance and efficiency, with some perceiving ethics as potential obstacles to technological progress. This dichotomy of perspectives clearly emphasizes the subjectivity and complexity surrounding the role of ethics in AI development, reflecting the inherent multifaceted nature of this issue.

Conclusions
Despite the methodological limitations impacting the generalizability of the results, this study underscores the critical importance of consistent and integrated ethical considerations in AI development for medical applications. It advocates further research into effective strategies for ethical AI development, emphasizing the need for transparent and responsible practices, consideration of diverse data sources, physician training, and the establishment of comprehensive ethical and legal frameworks.