bluuebunny/crossref_metadata_2025_split huggingface dataset:
CFD Simulation and Performance Comparison of Two Distillation Tank Designs with Different Heat Source Geometries
Authors: Shariati Omid , SamimiAkhjahani Hadi 
Published: January 2025

Abstract

This paper presents a numerical simulation using ANSYS Fluent to investigate the performance of two water desalination systems under identical conditions. Realistic environmental conditions such as ambient pressure, temperature, fluid inlet velocity, and temperature of the fluid entering the tank and the heat source (both being water) were considered. Both models were tested under the same conditions: a pressure of 1 atm, an ambient temperature of 27°C, an inlet fluid velocity in the tank of 0.08 m/s, an inlet fluid temperature to the tank of 27°C, an inlet fluid velocity to the heat source of 0.01 m/s, and an inlet fluid temperature to the heat source of 67°C. The tank and heat source were made of aluminum and copper, respectively. The obtained results showed significant differences and will be discussed in detail in the following sections.
A memory transcriptome time course reveals essential long-term memory transcription factors.
Authors: Martin Francisco , Jones Spencer , Gil-Marti Beatriz , Sacristan-Horcajada Eva , Edison Abigail , Butler Emily , Miandashti Neda , Roselli Camilla , Turiegano Enrique , Boto Tamara , Kramer Jamie 
Published: January 2025

Abstract

Long-term memory (LTM) requires transcription and translation of new proteins, but short-term memory does not. Several signaling pathways and transcription factors involved in LTM-related transcription have been identified, yet the transcriptional response to memory formation and retrieval remains poorly understood. Here, we performed a transcriptome time course during LTM formation in Drosophila melanogaster exposed to courtship conditioning. We identified a mushroom body-specific transcriptional memory trace that becomes activated during memory consolidation. For memory retrieval, we used scRNAseq of CREB-activated MB cells to detect a neuronal cluster with specific up-regulation of classical memory-related genes as well as members of the memory consolidation response. As a proof of causality, we conducted a loss-of-function screen, finding 16 positive hits whose disruption impaired LTM. Among them, we identified two immediate-early genes (IEGs), Hr38 and stripe (sr), which encode transcription factors that are activated by courtship LTM training and required for LTM but not STM. ChIP-seq binding sites for these critical memory transcription factors map to MB-accessible chromatin near training-induced genes that comprise the MB memory consolidation and recall trace. Overall, we further define the transcriptional response to long term memory formation and retrieval, and identify critical transcription factors that may help shape it.
Establishment of an Early Warning Screening System for High Risk Population in High Incidence Area of Esophageal Cancer, Gansu province, northwestern China: A Retrospective Population-Based Study
Authors: Zhu Duojie , Li Chengyun , Che Yinggang , Cheng Huijuan , Li Yumin 
Published: January 2025

Abstract

Objective
The medical treatment of cancer patients has caused a huge burden on the financial expenditure of the government, so it is crucial to evaluate whether the financial expenditure of public medical care. The aim of this study was to identify risk populations of esophageal cancer (EC) in Liangzhou through epidemiological data and evaluate the feasibility and cost-effectiveness of early screening in these populations.
Methods
We collected data on EC incidence and follow-up from 2009 to 2021 in the regions of Liangzhou and Jingtai in Gansu Province. We used spatial analysis and regional investigation the incidence data of EC reporting area to analyze the prevalence of EC within Liangzhou and Jingtai, the impact of lifestyle, heavy metals and nitrosamines on EC. Subsequently, we conducted a health economics assessment based on the Chinese government's regional investment in EC screening in Gansu Province in the past five years, with a view to optimizing cancer prevention measures in areas with high incidence of EC.
Results
From 2009 to 2021, the incidence of EC in Liangzhou remained high with an average annual incidence of 45.23 per100,000, there were 8 communities and townships with the incidence of EC higher than 70/100,000 in Liangzhou. Drinking alcohol, intake of red meat, salted food, dried food, fried food and dry thinness were risk factors for EC. The trace elements ( iron, copper and zinc) and NMEA, NDEA and NDPA in drinking water of Liangzhou were higher than those in Jingtai County, suggested that the residents of Liangzhou District are exposed to higher environmental carcinogenic risk. In the systematic health economics evaluation of the EC screening, we found that the screening cost amounted to 1,1407200 yuan, and the benefit totaled 1,9763200 yuan, resulting in a cost-benefit ratio (CBR) of 1:1.73.
Conclusions
This study identified high-incidence areas and key populations of EC. This approach guided the implementation of targeted EC screening in specific area, proving to be a cost-effective and efficient screening method. The adoption of this approach should be widely applied in the prevention and control of EC in the future, and provides an important basis for the clinical benefit and early screening of patients with EC.
Enhanced Adsorption of Amido Black (AB) Dye Using PAN/EPI-DMA-bentonite Composite Fibers as a Novel Electrospun Solution for Wastewater Treatment
Authors: Jalil Aiizat Ikhwan Abdul , Ismail Suzylawati , Shahadat Mohammad , Yılmaz Murat 
Published: January 2025

Abstract

This study investigates the use of PAN/EPI-DMA-bentonite composite fibers, synthesized through electrospinning, for the efficient adsorption of anionic azo dye, Amido Black (AB), in wastewater treatment. The composite fibers were developed by incorporating epichlorohydrin dimethylamine (EPI-DMA) modified bentonite into a polyacrylonitrile (PAN) matrix, enhancing the surface's positive charge and increasing adsorption sites. Characterization using SEM-EDX, FTIR, and BET analyses confirmed successful bentonite integration, increased fiber diameter, and enhanced surface area, contributing to improved dye affinity. Adsorption experiments revealed that a 3 wt% EPI-DMA-bentonite dosage achieved optimal AB dye removal, with the composite demonstrating a maximum adsorption capacity of 1829 mg/g at 200 ppm dye concentration. Acidic conditions (pH 2-4) significantly improved adsorption efficiency, reaching up to 92% dye removal due to increased electrostatic attraction between the anionic dye and cationic sites on the composite fibers. Isotherm and kinetic studies indicated that the adsorption process adheres to the Langmuir isotherm model and pseudo-second-order kinetic model, suggesting monolayer adsorption and chemisorption mechanisms. Compared to conventional adsorbents, the PAN/EPI-DMA-bentonite composite exhibited superior adsorption capacity, highlighting its potential as an effective and scalable solution for industrial dye-laden wastewater treatment.
Tree species traits and soil biochemical properties drive carbon stability and temperature sensitivity of soil aggregates in agroforestry systems of subtropical northeast India
Authors: Thangavel Ramesh , Manjaiah Kanchikerimath , Arunachalam A. , Hazarika Samarendra , Choudhury Burhan U. , Arumugam Balusamy , Tomar J. M.S. , Mishra V.K. 
Published: January 2025

Abstract

Agroforestry systems play a critical role in enhancing soil organic carbon (SOC) stability and mitigating climate change by integrating trees and crops to improve soil fertility and carbon sequestration. This study investigates the SOC stability, aggregate dynamics, and temperature sensitivity of SOC mineralization across four agroforestry systems (Michelia oblonga, Parkia roxburghii, Alnus nepalensis, and Pinus kesiya). Tree traits, soil properties, and aggregate characteristics were analyzed alongside a 60-day incubation experiment under three temperature regimes (25°C, 30°C, and 35°C). The results revealed the SOC mineralization significantly varied amongst the agroforestry systems with highest value in M. oblonga (25.59 mg CO2 g− 1) and lowest in A. nepalensis (20.39 mg CO2 g− 1). Macroaggregates consistently showed higher SOC concentrations and biochemical indicators, such as polysaccharides and total glomalin-related soil proteins (TG-RSP), compared to microaggregates and bulk soil. The temperature and aggregate sizes statistically influenced the SOC mineralization rates, with noticeable interaction effect. SOC mineralization rates increased with temperature, but Alnus nepalensis exhibited the highest temperature sensitivity (Q10 = 0.955 and activation energy = 24.25 kJ mol− 1), highlighting its resilience to thermal stress. Strong positive correlations were observed between soil aggregate stability and soil biochemical indicators such as SOC, polysaccharides and TG-RSP of bulk soil and aggregates. Temporal trends indicated that carbon mineralization peaked at 30 days before stabilizing, reflecting the decomposition of labile carbon pools. These findings highlight the critical role of tree traits, soil aggregates, and thermal stability in driving SOC retention in agroforestry systems.
Experimental Investigation of effect Slotted leading Edge Circulation Control Aerofoil Aerodynamic and Acoustics
Authors: Al-okbi Yasir , Atiya Mohammed A. , Al-amir Qusay Rasheed , Jweeg Muhsin Jaber , Al-Dujele Rana 
Published: January 2025

Abstract

This study discusses the separation flow active flow control of the NACA 633618-il three-dimensional straight aerofoil, which is carried out by using the inclined exit synthetic jet exciter. The synthetic jet can effectively control the flow separation of the wings, increase the maximum lift coefficient by 12.4%, and delay the stall angle of attack by 6°. Using boundary layer testing techniques and
The particle image velocimetry system is used to study and analyse the control mechanism of the synthetic jet separation flow. The results show that the boundary layer velocity pattern becomes full after the control.
The shape factor decreases, the underlying energy increases, and the ability to resist adverse pressure gradients increases. The transient and real-time homogenised PIV test flow field map further proves the synthetic jet flow direction.
After the main flow is injected and mixed with momentum, the main flow adheres to the aerofoil surface, the fluid turbulent kinetic energy and Reynolds shear stress near the aerofoil increase, and the separation point is pushed downstream. Later, flow separation is inhibited.
Nucleation mechanism and growth behavior of nano-arrays on plant fibers via sol-gel process
Authors: Liu Xuan 
Published: January 2025

Abstract

Nano-deposition is emerging as an effective strategy to endow plant fibers(PFs)with the desirable surface and mechanical properties. In this work, we elaborate on the effects of the surface features of PFs and the sol-gel process parameters on nano-array deposition, thus reveal the underlying mechanisms of in-situ nucleation and growth behavior. For the PFs with the carboxymethyl pre-treatment (PFs-COOH), (1) the increased amorphous region provides the access for the deposition solution to react with PFs-COOH; (2) The introduced carboxyl groups help the heterogeneous deposition of nano-arrays by promoting the interaction between PFs-COOH and nano-arrays; (3) The concave structure of the surface flaws decreases the Gibbs free energy of heterogeneous nucleation, creating the suitable deposition sites for the layer-by-layer self-assembled nano-arrays. For the sol-gel process parameters, the precursor concentration regulates the supersaturation of the reaction solution, which provides driving force for the heterogeneous nucleation and growth of nano-arrays; The ammonia concentration controls the morphologies of nano-deposition including the thin nano-gel, well-aligned nano-arrays and aggregated nano-particles; The reaction time relates to the nucleation and growth cycle of nano-arrays. Based on the grey relational analysis, the effect of process parameters on the particle size is as follows: reaction time < precursor concentration < basic catalyst. The cooperation of the surface features of PFs and the sol-gel process parameters makes the well-aligned nano-arrays fill up the surface flaws of PFs, achieving the ideal controlling effect. Our work offers a theoretic basis for the effective preparation of PFs with the excellent properties.
Enhancing Tiny Object Detection without Fine Tuning: Dynamic Adaptive Guided Object Inference Slicing Framework with Latest YOLO Models and RT-DETR Transformer
Authors: MUZAMMUL MUHAMMAD , LI Xuewei , Li Xi 
Published: January 2025

Abstract

Tiny Object Detection (TOD) in high-resolution imagery presents persistent challenges in computer vision, including low resolution, occlusion, and cluttered backgrounds. This paper introduces the Dynamic Adaptive Guided Object Inference Slicing (GOIS) framework, a novel two-stage adaptive slicing approach that dynamically reallocates computational resources to Regions of Interest (ROIs). This methodology significantly enhances detection precision and efficiency, achieving 3–4× improvements in Average Precision (AP) and Average Recall (AR) metrics for small objects. Additionally, the framework demonstrates substantial gains of 50–60% across other metrics, ensuring robust performance across various object scales. While slight declines in large-object detection were noted in specific scenarios, GOIS consistently excels in detecting small and medium-sized objects, effectively addressing critical challenges inherent to TOD. The GOIS framework integrates adaptive slicing, multi-scale representation, and context-aware modeling, surpassing the limitations of static slicing methods by mitigating boundary artifacts and optimizing computational efficiency. Its architecture-agnostic design allows seamless integration with diverse state-of-the-art detection models, including YOLO11, RT-DETR-L, and YOLOv8n, without requiring extensive retraining. Rigorous validation on the VisDrone2019-DET dataset, supplemented by evaluations on low-resolution images, video streams, and live camera feeds, highlights GOIS’s transformative potential. These findings establish its applicability to critical domains such as UAV-based surveillance, autonomous navigation, and precision diagnostics. The code and results are publicly available at https: // github. com/ MMUZAMMUL/ GOIS with a live demonstration accessible at https: // youtu. be/ T5t5eb_ w0S4 .
Comparison of the derivatization methods in the analysis of fatty acid profiles in cream – new look on the safety of dairy products
Authors: Florkiewicz Aleksandra Bogumiła , Gużewska Gaja , Arendowska Izabela , Ludwiczak Agnieszka , Rudnicka Joanna , Szultka-Młyńska Małgorzata , Ligor Tomasz , Pomastowski Paweł 
Published: January 2025

Abstract

Milk and dairy products, especially cream, are rich in proteins, vitamins, microelements, macroelements, and fatty acids (FAs). The FAs profile can vary depending on factors such as cattle breed, health status, types of feed used, season, geographic location, milking frequency and method, lactation phase, and frequency. The FAs present in milk, both long- and short-chain, and essential unsaturated fatty acids (EFA), including omega-3 and omega-6, have anti-inflammatory and antibacterial properties. This study presents the results of FAs profile analysis in cream, conducted using gas chromatography (GC) with a flame ionization detector (FID). Sample preparation involved acid and base derivatization methods, with the results compared between these approaches. Additionally, microbiological composition and the physicochemical properties of the samples were examined. A total of 31 standard FAs were identified. The results showed that acid derivatization was more efficient and reliable for qualitative and quantitative analyses. The samples revealed significant amounts of FAs with varying chain lengths and saturation levels.
РАЗВИТИЕ ИСТОРИЧЕСКОЙ ГЕОГРАФИИ В РОССИИВО ВТОРОЙ ПОЛОВИНЕ XIX – НАЧАЛЕ ХХ ВЕКА(ПО МАТЕРИАЛАМ ВСЕРОССИЙСКИХ АРХЕОЛОГИЧЕСКИХ СЪЕЗДОВ)
Authors: ПЕТРОВА О.С. 
Published: January 2025

Процесс складывания исторической географии как отрасли научного знания был длительным и не завершился даже к началу ХХ столетия. Всероссийские археологические съезды, собиравшиеся в России во второй половине XIX начале ХХв., способствовали формированию и развитию исторической географии. Изучение документальных материалов Археологических съездов позволяет изучать различные аспекты формирования предмета исторической географии от эмпирического знания о пространственном размещении памятников древности до постановки проблем теоретико-методологического характера.
The establishment of historical geography as a separate scientific field was long and was far from completion at the beginning of the 20th century. The All-Russian Archaeological Congresses of the second half of the 19th beginning of the 20th century facilitated the institutionalization of historical geography. The congresses documents allow one to trace various aspects of the emerging discipline from empirical knowledge about the localization of historical monuments to theoretical and methodological problems of historical geography.
Identification and Validation of Potential Biomarkers and Therapeutic Targets of COVID-19-related Depression
Authors: Qi Peng , Huang Mengjie , Zhu Haiyan 
Published: January 2025

Background:
The prevalence of depression in COVID-19 patients is notably high,
disrupting daily life routines and compounding the burden of other chronic health conditions. In
addition, to elucidate the connection between COVID-19 and depression, we conducted an analysis
of commonly differentially expressed genes [co-DEGs], uncovering potential biomarkers
and therapeutic avenues specific to COVID-19-related depression.

Methods:
We obtained gene expression profiles from the Gene Expression Omnibus [GEO] database
with strategic keyword searches ["COVID-19", "depression," and "SARS"]. We used
functional enrichment analysis of the co-DEGs to decipher their likely biological roles. Then, we
utilized protein-protein interaction [PPI] network analysis to identify hub genes among the co-
DEGs. These findings were validated via an independent third-party dataset.

Results:
Our analysis of blood samples from COVID-19 patients revealed 10,716 upregulated
genes and 10,319 downregulated genes. In addition, by applying the same approach to depression
samples, we identified 571 upregulated and 847 downregulated genes. Furthermore, by intersecting
these datasets, we extracted 121 upregulated and 175 downregulated co-DEGs.
Through PPI network construction and hub gene selection, we identified MPO, ARG1, CD163,
FCGR1A, ELANE, LCN2, and CR1 as co-upregulated hub genes and MRPL13, RPS23, and
MRPL1 as co-downregulated hub genes. The incorporation of third-party datasets revealed that
these hub genes are specific targets of SARS-CoV-2, not generic viral response mechanisms.

Conclusion:
The identification of potential biomarkers represents a groundbreaking strategy for
assessing and treating depression in the context of COVID-19, with the potential to reduce its
prevalence among these patients. However, to fully harness this potential, additional clinical research
is paramount.
Role of Long Noncoding RNA Dio3os in Glycolipid Metabolism
Authors: Wang Xinchen , Zeng Shiyun , Liu Yuting , Shi Yulan , Qu Fenghua , Li Li , Zhang Qirui , Yuan Ding , Yuan Chengfu 
Published: January 2025

Introduction:
Recent investigations have underscored the importance of long non-coding
RNAs (lncRNAs), which exhibit more specific expression in tissues and cells than mRNA and
are involved in gene regulation during development, pathology, and other processes through various
mechanisms. Despite the predominant focus on the role of lncRNA Dio3os in cancer research,
there has been relatively limited exploration of its potential involvement in glycolipid metabolism.
Therefore, this study aims to consolidate existing knowledge on the function of Dio3os in glycolipid
metabolism and calls for a broader investigation into its physiological roles.

Methods:
This review synthesizes available literature to detail the gene characteristics of lncRNA
Dio3os and its expression patterns. It also compiles recent insights and mechanisms pertaining to
Dio3os's involvement in glycolipid metabolism, particularly its participation in the ceRNA regulatory
network.

Results:
Recent studies demonstrate that lncRNA Dio3os regulates glycolysis in cancer cells and
impacts obesity, potentially serving as an indicator for diabetic peripheral neuropathy. Furthermore,
its diminished expression has been noted in atherosclerotic plaques.

Conclusion:
lncRNA Dio3os exerts a significant regulatory influence on glycolipid metabolism,
with variations in its expression levels potentially affecting disease presentations. Further investigations
are warranted to elucidate the precise relationship between lncRNA Dio3os and its associated
pathologies.
Synergistic Effects of Hydrogen Peroxide Preconditioning and Valproic Acid on Hepatic Differentiation of Mesenchymal Stem Cells
Authors: Rashid Saman , Salim Asmat , Naeem Nadia , Haneef Kanwal 
Published: January 2025

Introduction:
Ex vivo preconditioning increases the therapeutic potential of mesenchymal
stem cells (MSCs) in terms of antioxidant activity, growth factor production, homing, differentiation,
and immunomodulation. Therefore, it is considered an effective strategy to be used before
transplantation and therapeutic application of MSCs. Histone deacetylase inhibitor (HDACi), valproic
acid (VPA), has been reported to induce hepatic differentiation in MSCs. Although individual
studies have shown that preconditioning and epigenetic modification enhance the survival and
differentiation of MSCs, the combined effects of these therapies have not been fully explored.
This study aims to investigate the combined effect of hydrogen peroxide (H2O2) preconditioning
and HDACi (valproic acid) on the differentiation of bone marrow-derived mesenchymal stem
cells (BM-MSCs) into hepatic-like cells.

Methods:
MSCs were first preconditioned with H2O2 and then cultured with VPA. The migration
and proliferation potential of the treated cells were evaluated using wound healing and colony--
forming unit assays. Furthermore, the expression of hepatic genes (FOXA2, CK8, CK18, TAT) and
proteins (AFP, ALB, TAT) was evaluated in all treated groups.

Results:
The combined therapy group exhibited enhanced cell migration and proliferation, as evidenced
by wound healing and colony-forming unit assays. Additionally, the combined treatment
group showed higher expression of FOXA2, CK8, and CK18 hepatic genes and TAT protein,
suggesting an improved differentiation of stem cells into hepatocytes.

Conclusion:
In conclusion, the combination of H2O2 and VPA emerges as an important factor in
promoting hepatocyte differentiation. However, further studies are required to optimize this protocol
for future therapeutics.