bluuebunny/crossref_metadata_2025_split huggingface dataset:
An ecoacoustic dataset collected on the island of Cyprus in the Mediterranean Basin biodiversity hotspot
Authors: Mammides Christos , Ieronymidou Christina , Papadopoulos Harris 
Published: June 2024

Abstract

There is growing interest in using novel technologies for large-scale biodiversity monitoring. Passive acoustic monitoring (PAM) represents a promising approach for surveying vocalizing animals. However, further development of PAM methods is needed to improve their accuracy. The availability of extensive ecoacoustic datasets from biodiverse areas can facilitate this development. In this study, we present a large ecoacoustic dataset (1.58 TB) collected at sixty-one study sites on the island of Cyprus between March and May 2023. The dataset comprises > 310,000 audio files, representing over 5,200 hours of recordings. It can be used for a range of applications, such as developing and refining species identification algorithms, acoustic indices, and protocols for processing acoustic data to exclude non-focal sounds, e.g., those produced by human activities. It can also be used to explore fundamental ecological questions. To facilitate its use, the complete dataset has been made available on the Hugging Face repository and the ARBIMON platform, operated by Rainforest Connection™, which offers a range of free tools for ecoacoustic analyses.
Chemerin, Visfatin: Key Markers of Diabetes Associated-chronic Kidney Disease
Authors: Ahmed Chaudhari Mohammed Juned , Vasanthan M. , Vinodhini V.M. , P Renuka. , Banerjee Swapnaneel ,   Vedang Parth6, K Sri Sakthi , Soni Nainsi , Janathan S. 
Published: June 2024

Abstract

Background Diabetes Mellitus is defined as a consistent hyperglycemia occur due to deficiency of insulin or insulin resistance by the insulin-dependent cell of the body. Persistence hyperglycemia leads to accumulation of advance glycosylated end product (AGEP) which founds to damage glomerular basement membrane of the nephrons leading to kidney damage causing diabetes - associated CKD. CKD is defined as glomerular filtration rate (GFR) < 60ml/min/1.73 m2 for a minimum of three month irrespective of etiology. This not only affect the patient’s normal life but also decrease the life expectancy. This study aims to provide pro-inflammatory markers for earliest diagnosis and hence the treatment planning of the diabetes – associated CKD.
Method An analytical cross-sectional study was conducted at tertiary care center in south India (Chennai, SRM MEDICAL COLLEGE HOSPITAL & RESEARCH CENTRE). The total sample size was calculated to be 120, which was further divided in two equal group. Group I involve 60 diabetes-associated CKD participants (25-65 years) and Group II involved aged (25-65 years), sex matched healthy controls. Serum Chemerin and Visfatin levels were quantified among both the group. Spearman’s correlation was performed to find the correlation of these markers with e-GFR and study participants.
Findings Significant elevated levels of serum Chemerin was found in diabetes-associated CKD participants [4618.875 (1650.795, 9173.230)] as compare to control participants [1566.273 (666.948, 2601.144)]. Similarly, significantly elevated levels of serum Visfatin was found in diabetes-associated CKD participants [46.450 (31.458, 100.733)] as compare to control participants [14.226 (8.865, 18.619)]. Significant negative correlation was observed between serum Chemerin and e-GFR (r = -0.413, p = 0.000003), similarly Significant negative correlation was observed between serum Visfatin and e-GFR (r = -0.647, p = 0.000000). This clearly suggests the role of these adipokines in kidney damage, hence they can act as potential pro-inflammatory markers in diabetes-associated CKD.
Interpretation Above findings clearly suggest the potential of these pro-inflammatory markers in earliest diagnosis and thus treatment planning in diabetes-associated CKD.
Study of cystic and cavitary lung lesions at Al-Mowasat University Hospital
Authors: Khattab Khalid , Alkhattab Haytham , Hamad Abdullah 
Published: June 2024

Abstract

In this research, some cases of cavernous and cystic lung lesions were studied in both Al-Mouwasat Hospital and Damascus during the year 2023. The practical study of this research was based on a retrospective study of clinical cases, by studying patient files and records, relying on spectroscopic radiological diagnosis, and comparing the findings. With surgical reports and biopsies for patients. The research aimed to compare the results of a simple chest scan in the clinical cases studied, with the results of a CT scan, in addition to determining the most accurate method of diagnosis. The results showed that CT scanning is the most accurate and reliable radiological method that confirms clinical results. Therefore, it is the most important in evaluating and discovering cysts and caverns to give an accurate idea and diagnosis about the characteristics of the lesions that may be present, which may include: location, shape, edges, walls., content, differences as well as monitoring.
Development of temperature and mass transfer-based empirical models for estimating reference evapotranspiration in Nigeria
Authors: Awhari Dauda Pius , Jamal Mohamad Hidayat , Muhammad Mohd Khairul Idlan , Kamai Matthew Boniface , Yaseen Zaher Mundher , Shahid Shamsuddin 
Published: June 2024

ABSTRACT

The empirical models commonly employed as alternatives for estimating evapotranspiration provide constraints and yield inaccurate results when applied to Nigeria. This study aims to develop novel empirical models to enhance evapotranspiration (ET0) estimation accuracy in Nigeria. The coefficients of non-linear equations were optimised using the particle swarm optimisation (PSO) algorithm for the development of the two new ET0 models for Nigeria, Awhari1 (temperature-based) and Awhari2 (mass transfer-based). ERA5 reanalysis data with a 0.1° × 0.1° resolution was used. The models were rigorously assessed against the FAO-56 Penman–Monteith method, resulting in Kling–Gupta efficiency (KGE) and percentage bias (Pbias) values of 0.75, 6.49, and 0.92, 5.67, respectively. The spatial distribution analysis of performance metrics showed both equations exhibited superior accuracy in estimating ET0 across diverse climatic zones in Nigeria. The incorporation of PSO in model development, coupled with spatial analysis, highlights the study's multidimensional approach. The spatial performance of the models indicates that they can be valuable tools for water resource management, irrigation planning, and sustainable agriculture practices in Nigeria.
Circular RNA hsa_circ_0005939 Regulates UHRF1BP1L Expression by
Targeting miR-4693-3p to Promote Colorectal Cancer Progression
Authors: Ge Hua , Yan Yan , Wang Haomin , Bian Jun , Deng Zhilong , Su Xian , Luo Kaiyuan , Bin Jianfeng 
Published: June 2024

Introduction:
Colorectal cancer (CRC) is the second most common and fatal cancer in
China. circRNAs are different expressed between tumor and non-tumor tissues, and they are
proved to be correlated with tumorigenesis and cancer progression.

Objective:
We aimed to explore the biological and molecular function of hsa_circ_0005939 in
CRC.

Methods:
We collected and compared ten CRC tissues and four noncancerous tissues and performed
circRNA sequencing. We investigated the hsa_circ_0005939 expression in fresh tissues
from CRC and adjacent tissues by qPCR. Meanwhile, functional roles of hsa_circ_0005939 in
CRC cells were explored by CCK-8, colony formation, wounding healing, cell apoptosis and western
blot assays. RNA-FISH was used to confirm the cellular distribution of hsa_circ_0005939.
Bioinformatic prediction and luciferase reporter assay were used to determine the mechanisms of
hsa_circ_0005939.

Results:
Our results indicated that hsa_circ_0005939 was up-regulated in CRC tissues and cells.
Up-regulation of hsa_circ_0005939 was associated with the occurrence and the number of lymph
node metastasis of CRC. Hsa_circ_0005939 down-regulation inhibited cell proliferation, increased
cell apoptosis and caused G2 phase arrest of CRC cells. Mechanistically, luciferase assay
revealed that hsa_circ_0005939 acts as a molecular sponge for miR-4693-3p and then enhanced
Ubiquitin Like With PHD And Ring Finger Domains 1 binding protein 1 like (UHRF1BP1L) expression.

Conclusion:
Our findings indicated an oncogenic role of hsa_circ_0005939 in CRC, and it enhanced
malignant phenotypes of CRC cells through miR-4693-3p/UHRF1BP1L axis. Our study
may offer promising biomarkers and therapeutic targets for CRC.
Design, Synthesis and Evaluation of a Novel Teoptinib Derivative as an Effective Anti-hepatocellular Carcinoma Agent
Authors: Yu Huijuan , Zhang Xiaodong , Li Jiayu , Wang Kaimei , Yin Changjun , Li Xinshu , Li Lianyun , Shao Guang , Jin Shaowen 
Published: June 2024

Background & Purpose:
Hepatocellular Carcinoma (HCC) is a type of liver cancer known for
its poor prognosis and high mortality. Teoptinib is a highly selective MET inhibitor that has been used in
the treatment of liver cancer. Although good progress has been made in clinical treatment, further improvement
is still needed. In this study, a series of novel Teoptinib derivatives were synthesized and evaluated
as anti-cancer agents for the treatment of liver cancer, and an oral nanodrug delivery system was also
explored.

Methods:
A series of novel Teoptinib derivatives were synthesized, and an oral nanodrug delivery system was
also explored. HPLC, high-resolution mass spectrometer and NMR were used to determine the structure and
molecular formula of the synthesized compounds. Zeta potential assay was used to access the particle size distribution
and zeta potential of the nanoparticles. MTT assay, cell colony formation assay, cell apoptosis inhibition
assay, cell scratch assay, and the MHCC-97H xenograft model of nude mice assay were used to evaluate
the in vitro and in vivo anti-tumor activity of the synthesized compounds.

Results:
Compound (R)-10 showed the best antitumor activity with 0.010 μM of the IC50 value against
MHCC-97H, a human liver cancer cell line with high c-Met expression. The MHCC-97H xenograft model of
nude mice assay showed that nano-prodrug of compound (R)-10 exhibited good in vivo activity with 87.67%
of the TGI at the dosage of 8 mg/kg.

Conclusion:
We designed and synthesized a series of c-Met inhibitors containing different side chains and
chiral centers as anti-liver cancer agents. Among them, compound (R)-10 shows a promising effect as a lead
molecule for further study in the treatment of liver cancer. The successful incorporation of (R)-10 into a novel
oral nanodrug delivery system highlights the importance of effective drug delivery systems for enhanced therapeutic
efficacy.
Elemene Injection Overcomes Paclitaxel Resistance in Breast Cancer through AR/RUNX1 Signal: Network Pharmacology and Experimental Validation
Authors: Gu Xidong , Xu Leilai , Fu Yuanyuan , Fan Shuyao , Huang Tianjian , Yu Jiangting , Chen Jiaying , Sui Xinbing , Xie Xiaohong 
Published: June 2024

Background:
Paclitaxel (PTX) is a cornerstone chemotherapy for Breast Cancer (BC), yet its impact
is limited by emerging resistance. Elemene Injection (EI) has shown potential in overcoming chemotherapy
resistance. However, the efficacy by which EI restores PTX sensitivity in BC and the implicated molecular
mechanism remain uncharted.

Methods:
Network pharmacology and bioinformatic analysis were conducted to investigate the targets and
mechanisms of EI in overcoming PTX resistance. A paclitaxel-resistant MCF-7 cell line (MCF-7PR) was
established. The efficacy of EI and/or PTX in inhibiting cell viability was evaluated using sulforhodamine B
assay, while cell proliferation was assessed using EdU staining. Furthermore, protein and gene expression analysis
was performed through Western blotting and qPCR.

Results:
The EI containing three active components exhibited a multifaceted impact by targeting an extensive
repertoire of 122 potential molecular targets. By intersecting with 761 differentially expressed genes, we successfully
identified 9 genes that displayed a direct association with resistance to PTX in BC, presenting promising
potential as therapeutic targets for the EI to effectively counteract PTX resistance. Enrichment analysis indicated
a significant correlation between these identified targets and critical biological processes, particularly
DNA damage response and cell cycle regulation. This correlation was further substantiated through meticulous
analysis of single-cell datasets. Molecular docking analysis revealed robust binding affinities between the
active components of the EI and the identified molecular targets. Subsequently, in vitro experiments unequivocally
demonstrated the dose- and time-dependent inhibitory effects of the EI on both PTX-resistant and sensitive
BC cell lines, effectively mitigating the resistance phenotype associated with PTX administration. Furthermore,
our findings have indicated EI to effectively suppress the protein expression levels of AR and RUNX1
in MCF-7 and MCF-7PR cells under PTX treatment, as well as downregulate the mRNA expression levels of
stem-like properties’ markers, KLF4 and OCT4, in these cell lines.

Conclusion:
Elemene Injection (EI) application has exhibited a significant capability to mitigate PTX resistance
in BC, which has been achieved through targeted suppression of the AR/RUNX1 axis, revealing a key
strategy to overcome chemotherapeutic resistance.
The Role of Cuproptosis Key Factor FDX1 in Gastric Cancer
Authors: Zhao Qiqi , Yu Miao , Du Xueqin , Li Yuan , Lv Juantao , Jiang Xianglai , Chen Xiaomei , Wang Anqi , Yang Xiaojun 
Published: June 2024

Background:
Gastric cancer is a common malignant tumor of the digestive tract, both
domestically and internationally. It has high incidence and mortality rates, posing a significant
threat to human health. The levels of blood copper are elevated in patients with gastric cancer.
However, the exact relationship between copper overload and the malignant phenotype of gastric
cancer is still unclear. This study aims to investigate the role of the Cuproptosis-related factor
FDX1 in the conversion of gastric cancer to a malignant phenotype.

Methods:
Firstly, the relative mRNA and protein expression levels of FDX1 in gastric cancer
were detected. Secondly, lentiviral transfection of gastric cancer cell lines was performed, and
the effects of FDX1 functional intervention on the proliferation, invasion and migration of gastric
cancer cells were assessed by CCK-8, colony formation, EdU proliferation, cell scratch and
Transwell assays. Thirdly, the differential alteration of genes after overexpression of FDX1 was
also analyzed by transcriptome sequencing. Finally, we assessed the tumour-forming capacity in
vivo by the xenograft model.

Results:
FDX1 is significantly upregulated in gastric cancer. The inhibition of FDX1 function
results in the suppression of malignant phenotypic transformation in gastric cancer cells. Conversely,
overexpression of FDX1 function leads to alterations in tumor-related signaling pathways
and the tumor microenvironment.

Conclusion:
FDX1 plays a significant role in the malignant phenotypic transformation of gastric
cancer cells. Further investigation into the regulatory mechanism of FDX1 in the malignant
transformation of gastric cancer will enhance our understanding of the involvement of Cuproptosis
in gastric cancer.
Recovery of Proteases and Protease Inhibitors from Ganoderma spp. Cultivated in Amazonian Lignocellulose Wastes
Authors: Ramos Chevreuil Larissa , Alves Pessoa Vitor , da Silva Giovanna Lima , dos Santos Gouvea Paula Romenya , do Nascimento Soares Larissa Batista , Sales-Campos Ceci 
Published: June 2024

Background:
Ganoderma spp. are a great source of bioactive molecules. The production
and recovery of bioactive molecules vary according to strain, growth substrate, and extraction
solution. Variations in protease and their inhibitors in basidiomata from a commercial strain (G.
lingzhi) and an Amazonian isolate (Ganoderma sp.) cultivated in Amazonian lignocellulosic
wastes and extracted with different solutions are plausible and were investigated in our study.

Methods:
Basidiomata from cultivation in substrates based on açaí seed, guaruba-cedro sawdust
and three lots of marupá sawdust were submitted to extraction in water, Tris-HCl, and sodium
phosphate. Protein content, proteases, and protease inhibitors were estimated through different assays.
The samples were characterized by sodium dodecyl sulfate-polyacrylamide gel electrophoresis
(SDS-PAGE) and Fourier transform infrared spectroscopy with attenuated total reflectance
(FTIR-ATR).

Results:
Tris-HCl provided higher protein extraction from Ganoderma sp. and higher caseinolytic,
gelatinolytic, and fibrinolytic activity for G. lingzhi cultivated in açaí. Water extracts of Ganoderma
sp., in general, exhibited higher trypsin and papain inhibitor activities compared to G.
lingzhi. Extracts in Tris-HCl and sodium phosphate showed more intense protein bands in SDS--
PAGE, highlighting bands of molecular weights around 100, 50, and 30 kDa. FTIR spectra
showed patterns for proteins in all extracts, with variation in transmittance according to substrate
and extractor.

Conclusion:
Water extract from Amazonian Ganoderma sp. cultivated in marupá wastes are
promising as a source of protease inhibitors, while the Tris-HCL extract of G. lingzhi from açaí
cultivation stands out as a source of proteases with fibrinolytic, caseinolytic, and gelatinolytic activities.
CD4+ T-cell Subsets and Cytokine Signature in Pemphigus
Foliaceus Clinical Stratification beyond the th1/Th2 Paradigm
Authors: Raouia Fakhfakh , Mariem Ben Jmaa , Nesrine Elloumi , Meriam Mseddi , Mohany Mohamed , Emna Bahloul , Sellami Khadija , Sawsan Feki , Milošević Marija , Hamida Turki , Hatem Masmoudi , Olfa Abida 
Published: June 2024

Background:
T helper interplay and cytokines monitoring in auto-immune
skin disorders such as Pemphigus Foliaceus (PF) may play a central role in predicting
the clinical stratification of the pathology.

Objectives:
In order to assess the CD4+ T cell imbalance, (i) this study aims to assess
the related immune cells (Th1, Th2, Th17, and Treg cells) as well as the related
cytokines (IL-1β, IFNγ, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17A, IL-17F, IL-
22, TNF-β, and TNFα) in peripheral blood, and [ii] their respective transcription factors
in the lesioned skin of PF endemic patients during the clinical course.

Methods:
Peripheral blood of 22 PF patients was analyzed by flow cytometry to
assess the functional associations of Th cell subpopulations and their characteristic
cytokines by multiplex bead assay of 14-plex cytokines. Skin mRNA expression of their
associated transcription factors was analyzed using the TaqMan detection system.

Results:
Our findings revealed that the CD4+ T cell subtypes in PF patients compared to
Healthy Controls (HC) were characterized by (i) a similar Th1/Th2 ratio and increased
Th17/Treg ratio and (ii) significantly higher plasma levels of Th-17 specific cytokines; IL-
6, IL-8, IL-17A. Higher percentages in Th17 and Treg subtypes and a significant increase
in plasma IL-17F levels were maintained in relapsing PF patients, arguing the pivotal role
of Th17 cells in PF pathogenesis. Furthermore, our findings pointed out the major
contribution of the pro-inflammatory cytokine IL-6. Indeed, in addition to being involved in
the initial stages of disease development, IL-6 seems to also be involved in the
maintenance of the pathophysiological process, probably through its effect on Th17
differentiation. The skin-relative mRNA expression levels of FOXP3 and TBET were
significantly higher in relapsing PF patients compared to de novo PF patients.

Conclusion:
Our results highlight the central role played by Th17 lymphocytes and
their related pro-inflammatory cytokines during the clinical course of the disease,
reversing the Th1/Th2 dichotomy in PF.
An Updated Review on Diabetic Nephropathy: Potential Mechanisms, Biomarkers, Therapeutic Targets and Interventional Therapies
Authors: Nadendla Rama Rao , K. Khairunnisa , Aziz Namra , Pyne Chandana , Panigrahy Uttam Prasad , Wal Pranay , Kulkarni Mrunalini Harish , Rasheed Azhar 
Published: June 2024

Background:
Diabetic nephropathy (DN), the primary risk factor for end-stage kidney
disease (ESKD) that requires dialysis or renal transplantation, affects up to 50% of individuals
with diabetes.

Objective:
In this article, potential mechanisms, biomarkers, and possible therapeutic targets will
be discussed, as well as their interventional therapies.

Methods:
A literature review was done from databases like Google Scholar, PUBMEDMEDLINE,
and Scopus using standard keywords “Diabetic Nephropathy,” “Biomarkers,”
“Pathophysiology,” “Cellular Mechanism,” “Cell Therapy,” “Treatment Therapies” from 2010-
2023. It has been studied that metabolic as well as hemodynamic pathways resulting
from hyperglycemia act as mediators for renal disease.

Results:
We identified 270 articles, of which 210 were reviewed in full-text and 90 met the inclusion
criteria. Every therapy regimen for the prevention and treatment of DN must include the
blocking of ANG-II action. By reducing inflammatory and fibrotic markers brought on by hyperglycemia,
an innovative approach to halting the progression of diabetic mellitus (DN) involves
combining sodium-glucose cotransporter-2 inhibitors with renin-angiotensin-aldosterone
system blockers. When compared to taking either medicine alone, this method works better.
AGEs, protein kinase C (PKC), and the renin-angiotensin aldosterone system (RAAS) are among
the components that are inhibited in DN management strategies.

Conclusion:
Thus, it can be concluded that the multifactorial condition of DN needs to be treated
at an early stage. Novel therapies with a combination of cell therapies and diet management are
proven to be effective in the management of DN.
Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques
Authors: Sivakumar M. , Padmapriya S.T. 
Published: June 2024

Background:
This research investigates the impact of pruning on reducing the computational complexity of a five-layered Convolutional Neural Network (CNN)
designed for classifying MRI brain tumors. The study focuses on enhancing the efficiency of the model by removing less important weights and
neurons through pruning.

Objective:
This research aims to analyze the impact of pruning on the computational complexity of a CNN for MRI brain tumor classification, identifying
optimal pruning percentages to balance reduced complexity with acceptable classification performance

Methods:
The proposed CNN model is implemented for the classification of MRI brain tumors. To reduce time complexity, weights and neurons of the
trained model are pruned systematically, ranging from 0 to 99 percent. The corresponding accuracies for each pruning percentage are recorded to
assess the trade-off between model complexity and classification performance.

Results:
The analysis reveals that the model's weights can be pruned up to 70 percent while maintaining acceptable accuracy. Similarly, neurons in the
model can be pruned up to 10 percent without significantly compromising accuracy.

Conclusion:
This research highlights the successful application of pruning techniques to reduce the computational complexity of a CNN model for MRI brain
tumor classification. The findings suggest that judicious pruning of weights and neurons can lead to a significant improvement in inference time
without compromising accuracy.