bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nile tilapia nursery in different rearing systems during autumn in a subtropical region
Authors: SILVA Bruno Corrêa , MASSAGO Haluko , CANDIA Efrayn Wilker Souza , VIEIRA Felipe do Nascimento , JATOBÁ Adolfo , SERAFINI Raphael de Leão 
Published: June 2024

Abstract

The nursery phase in autumn is an important strategy for scaling up tilapia farming in subtropical regions, which otherwise suffers from a lack of fingerlings in winter. Tilapia nursery is carried out in a semi-intensive system in ponds; however, the biofloc technology system (BFT) has productive, environmental and health advantages. This study aimed to compare the production of Nile tilapia (Oreochromis niloticus) juveniles in two rearing systems during autumn through the evaluation of zootechnical, environmental, and hematological parameters, as well as production costs. In each system, four experimental units were used on a pilot scale and stocked with fingerlings with an average weight of 1.95 ± 0.32g. In the semi-intensive system, 25 m³ ponds were used, and each was stocked with 1,100 fingerlings (44 fish.m− 3). In the super-intensive system, 4 m³ circular tanks were used, each stocked with 2,200 fingerlings (550 fish.m− 3). The production of tilapia juveniles in BFT showed greater stability of water quality parameters throughout rearing in association with higher water temperature owing to the greenhouse. This allowed similar growth between fish in both systems, but with productivity 12.7x higher in BFT, while consuming 29.6x less water. Hematological parameters among fish in the two systems were also similar. Finally, BFT showed a lower total operating cost.
Development of a tunable infrared pyroelectric element based on the interferometer principle
Authors: Wang Boqiang , Zhao Xuezeng , Zhang Yiyong , Song Zigang , Wang Zhuogang 
Published: June 2024

Abstract

To realize the detection of multiple hydrocarbon combustible gases by non-dispersive infrared gas concentration sensors (NDIR), a tunable infrared pyroelectric sensitive element needs to be developed. This paper is based on the principle of the interferometer, which adopts a T-type over-damped spring suspension to fix the two reflectors, and utilizes electrostatic force to control the distance between the two reflectors to achieve the adjustment of the central wavelength of the infrared pyroelectric sensitive element. The developed tunable infrared pyroelectric sensitive element has a center wavelength adjustment range of 3000-3481nm, a stable adjustment time of less than 55ms, a temperature fluctuation of less than 4nm/K, and an imprecise spectral scanning in the range of 3000-4000nm. This type of component has fast, low-temperature drift and a wide range of center wavelength adjustment functions, as well as non-precise spectral scanning functions. It provides reliable support for the detection of different types of hydrocarbon combustible gases by the same NDIR sensor.
Oxidative and Excitatory Neurotoxic Stresses in CRISPR/Cas9-Induced Kynurenine Aminotransferase Knock-out Mice: A Novel Model for Experience-Based Depression and Post-Traumatic Stress Disorder
Authors: Szabó Ágnes , Galla Zsolt , Spekker Eleonóra , Szűcs Mónika , Martos Diána , Takeda Keiko , Ozaki Kinuyo , Inoue Hiromi , Yamamoto Sayo , Toldi József , Ono Etsuro , Vécsei László , Tanaka Masaru 
Published: June 2024

Abstract

Background: Memory and emotion are highly vulnerable to psychiatric disorders like post-traumatic stress disorder (PTSD), which has been linked to serotonin (5-HT) metabolism disruptions. In fact, over 90% of the 5-HT precursor tryptophan (Trp) is metabolized via the Trp-kynurenine (KYN) metabolic pathway, producing a variety of bioactive molecules. The aadat (kat2) gene encodes mitochondrial kynurenine aminotransferase (KAT) isotype 2, responsible for kynurenic acid (KYNA) production. Little is known about its role in behavior.
Methods: In CRISPR/Cas9-induced aadat knockout (kat2−/−) mice, we examined the effects on emotion, memory, motor function, Trp and its metabolite levels, enzyme activities in the plasma and the urine of 8-week-old males compared to wild-type mice.
Results: Transgenic mice showed more depressive-like behaviors in the forced swim test, but not in the tail suspension, anxiety, or memory tests. They also had fewer center field and corner entries, shorter walking distances, and fewer jumping counts in the open field test. Plasma metabolite levels are generally consistent with those of urine: KYN, antioxidant KYNs, 5-hydroxyindolacetic acid, and indole-3-acetic acid levels are lower; enzyme activities in KATs, kynureninase, and monoamine oxidase/aldehyde dehydrogenase are lower, but kynurenine 3-monooxygenase is higher; and oxidative stress and excitotoxicity indices are higher.
Conclusion: Transgenic mice show depression-like behavior in a learned helplessness model, emotional indifference, and motor deficits, coupled with a decrease in KYNA, a shift of Trp metabolism toward the KYN-3-HK pathway, and a partial decrease in the gut microbial Trp-indole pathway metabolite. This is the first evidence that deleting the aadat gene causes depression-like behaviors that are unique to despair experience, which appears to be linked to excitatory neurotoxic and oxidative stresses. This may lead to the development of a double-hit preclinical model in experience-based depression, better understanding of these complex conditions, and more effective therapeutic strategies by elucidating the relationship between Trp metabolism and PTSD pathogenesis.
Predicting Landslides with Machine Learning: A Data-Driven Approach
Authors: Sarawagi Karan , Singh Navjot , Virdi Khushwant 
Published: June 2024

Abstract

Landslides are natural disasters that can cause significant damage to the environment and pose a serious threat to human lives and infrastructure. Early detection and identification of potential landslide-prone areas are crucial for disaster mitigation and preparedness efforts. This abstract out- lines a comprehensive approach to landslide identification uti- lizing machine learning techniques. In recent years, machine learning has emerged as a powerful tool for analyzing geospatial data and predicting geological hazards such as landslides. This research leverages a diverse range of data sources, including remote sensing imagery, topographical maps, rainfall records, and geological data, to develop a robust landslide identification model. The key components of the proposed methodology involve data preprocessing, feature engineering, and the application of various machine learning algorithms. Remote sensing data, such as satellite imagery and LiDAR data, are used to extract valuable terrain features and land cover information. Rainfall data are incorporated to assess the influence of precipitation on landslide occurrence. Geological data contribute to the understanding of local geological conditions. Several machine learning algorithms, including but not limited to decision trees, support vector machines, and neural networks, are employed to create predictive models. These models are trained on historical landslide data and validated against real-world cases. Cross-validation techniques are applied to ensure the model’s robustness and generalization capabilities.
Real-Time face mask Surveillance System for the Pandemic of Covid-19
Authors: Iqbal Momal 
Published: June 2024

Abstract

The disease was first discovered in Wuhan City, Hubei Province, the People’s Republic of China in late 2019, and rapidly grow to many countries around the world in early 2020, steadily turning into a global extensive pandemic. More than 222 million confirmed cases have been reported in different countries and regions around the world, and more than 4.6 million have died, which is one of the large-scale epidemics in human history . The coronavirus spreads through small droplets during the discussion, coughing, sneezing, etc. In poorly and closed ventilated locations a higher risk of transmission rate However, wearing a face mask that prevents the transmission of droplets in the air. But the continuous inspection of preventive measures both inside and outside the building/offices to prevent the growth of COVID-19 is a major challenging task. Therefore, in this research work, we focused on implementing a Face Mask Detection model that is relying on the related technologies of machine vision, we adopted three different well-known and the most advanced end-to-end target detection algorithm named CNN, VGG16, and -YOLOv5 to realize the detection and recognition of whether the face is wearing a mask. In terms of data set collection, we use the face mask opensource data set. After the actual effect test, we found the accuracy, error rate, recall rate, precision rate, and F1 of the Yolov5 algorithm model have reached a high level. This solution tracks the people with or without masks in a real-time scenario and highlighted the person with a red rectangle box in the case of violation. With the help of this 24/7, either inside or outside the organization continuously monitoring is possible and it has a great impact to identify the violator and ensure the safety of every individual.
Renal Tubular Epithelium in the Development of Renal Cell Carcinoma
Authors: Shafi Ovais , Zahra Kashaf , Shah Haider Hussain 
Published: June 2024

Abstract

Objective:
The objective of this study is to determine how dysregulations in developmental genes, transcription factors and signaling pathways of renal tubular epithelium contribute to Renal Cell Carcinoma development.
Background:
Renal Cell Carcinoma (RCC) presents a significant challenge in oncology due to its diverse clinical behaviors and inherent heterogeneity. Understanding its developmental dynamics is crucial for finding therapeutic opportunities. Key genes, TFs and signaling pathways, including PAX2, WT1, Wnt/β-catenin, and BMP, play key roles in RCC pathogenesis. This study aims to investigate RCC's origins and development, paving the way for possible effective, personalized interventions and improving patient outcomes.
Methods:
Databases, including PubMed, MEDLINE, Google Scholar, and open access/ subscription-based journals were searched for published articles without any date restrictions, to investigate the key genetic architecture and developmental dynamics contributing to the development and origins of RCC. Based on the criteria mentioned in the methods section, studies were systematically reviewed to investigate RCC oncogenesis. This study adheres to relevant PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-Analyses).
Results:
This study investigates the processes guiding Renal Cell Carcinoma (RCC) initiation. PAX2, WT1, RET, GATA3, HNF1B, OSR1 emerge as architects, controlling developmental dynamics. Transcription factors SIX2, HOXD11, EMX2 regulate renal stem/progenitor cell fate and enhance stemness, influencing RCC aggressiveness. Signaling pathways—Wnt/β-catenin, Notch, FGF, Shh, RAAS, BMP—act as regulators triggering epithelial-mesenchymal transition (EMT) and fostering angiogenesis. BMP and Wnt/β-catenin pathways drive EMT, enhancing stemness, key RCC drivers. NF-κB-mediated inflammation contributes to the immune microenvironment, potentially fueling RCC progression. These results point to the significance of investigating RCC through the lens of developmental dynamics.
Conclusion:
Renal Cell Carcinoma (RCC) originates from renal tubular epithelial cells, and understanding the developmental processes is crucial for finding its pathogenesis and origins. Genes like PAX2, WT1, RET, GATA3, HNF1B, OSR1, and transcription factors SIX2, HOXD11, EMX2, shape epithelial cell development in renal tubules. Signaling pathways such as Wnt/β-catenin, Notch, FGF, Hedgehog, RAAS, and BMP critically participate. Dysregulation in these key regulators, including BMP signaling disruption, may lead to a pathologic state, impacting cell fate, inflammation, and contributing to RCC development.
Intelligent identification method for pipeline leakage based on GPR time–frequency features and deep learning
Authors: Shen Yonggang , Ye Guoxuan , Zheng Feifei , Ye Zihao , Yu Zhenwei 
Published: June 2024

ABSTRACT
The identification and localization of water pipeline leakages based on ground penetrating radar (GPR) technology are gradually becoming a research hotspot. Current methods mostly focus on exploring the patterns of B-Scan images, heavily relying on the subjective experience of detection personnel, which can lead to misjudgments. Moreover, the large amount of data makes it difficult for manual processing. Therefore, a method based on wavelet transform (WT) and ResNet-50 is proposed to identify the time-frequency characteristics of GPR data, thereby achieving intelligent localization of pipeline leakages. The B-Scan images from GPR are transformed into time–frequency scale images using WT, and the features in both time and frequency domains are combined to enhance the representation of leakages. Subsequently, ResNet-50 is employed for feature extraction and leakage identification. Additionally, a deviation correction mechanism is proposed to improve the clarity of the prediction results. Experimental results demonstrate that ResNet-50 achieves an accuracy of 0.917 and a recall of 0.998 on the time-frequency dataset, almost detecting all leakages, with a recognition efficiency of 0.0165 s per data trace. The comprehensive method is validated in the field, indicating its capability to accurately identify and localize pipeline leakages.
Evaluating the impact of various driving factors on future water supply and demands
Authors: Wang Hongxiang , Yuan Weiqi , Ma Yajuan , Ye Handong , Li Yanhua , Bai Xiangyu , Cheng Siyuan , Guo Wenxian 
Published: June 2024

ABSTRACT

The mismatch between water supply and demand challenges sustainable human–environment development. Understanding future water supply–demand dynamics and underlying mechanisms is crucial for water resource sustainability. This study presents a framework for analyzing water supply–demand dynamics and their driving mechanisms under future land use/land cover (LULC) changes in China's Han River (HR) Basin using PLUS, InVEST, and geographic detector models. Results show precipitation increased slowly (0.64) from 2000 to 2020, while potential evapotranspiration slightly decreased (−0.02). By 2030, under the scenarios of the natural increase scenario (NIS), economic development scenario (EDS), and ecological protection scenario (EPS), significant changes are projected in forest, cropland, and construction land. The future impact of LULC on water supply is concentrated between 0.17 and 0.45%, while its effect on water demand is significant, approximately 10%. The water security index (WSI) in the HR Basin gradually declined from 0.118 to 0.078. Particularly in the EPS scenario, WSI improves (0.103). In the future, LULC will increasingly influence water yield in conjunction with other factors, but excessive precipitation will dampen the impact of other factors on water yield. This study enhances understanding of water resource balance evolution, enabling sustainable LULC development for ecological conservation and economic coordination.
Studying the kinetics and removal mechanism of the methylene blue dye in a continuous adsorption process using prepared mesoporous materials
Authors: Ali Nisreen S. , Albayati Talib M. , Salih Issam K. 
Published: June 2024

ABSTRACT
This study investigated the removal of a typical organic pollutant methylene blue (MB) dye from wastewater by a prepared mesoporous SBA-15 adsorbent in a continuous adsorption system (fixed-bed column). The structural and textural properties of the SBA-15 adsorbent were determined using different characterization techniques. The adsorption of continuous system experiments assessed the bed height effect, initial concentration, and flow rate on a breakthrough curve. The kinetic constants and breakthrough curves were obtained using the Thomas and Yan models. The breakthrough results revealed that SBA-15 has an excellent adsorption efficiency for use in the continuous adsorption system. The findings explain that MB removal achieved the maximum uptake (84 mg/g) at 6 cm of bed height, 0.5 mL/min of flow rate, and 30 mg/L initial concentration of MB. SBA-15 can be efficiently regenerated by calcination and re-employed 5 times in a fixed-bed system without a significant loss in its adsorption capacity of MB from MB solutions. As a result, SBA-15 was determined as the appropriate media to be adsorbent for MB. This study suggests that the prepared SBA-15 is feasible to use effectively for MB removal from the wastewater.
Virtual Screening, Molecular Dynamics Simulation, and Bioactivity Assessment Validate T13074 as a Dual-Target EGFR/c-Met Inhibitor
Authors: Fan Dang , Dong Haifeng , Li Anqi , Zhang Yuying , Wang Shiyu , Tu Yuanbiao , Wang Linxiao 
Published: June 2024

Objectives:
The objective of this study is to identify dual-target inhibitors
against EGFR/c-Met through virtual screening, dynamic simulation, and biological activity
evaluation. This endeavor is aimed at overcoming the challenge of drug resistance induced
by L858R/T790M mutants.

Methods:
Active structures were gathered to construct sets of drug molecules. Next,
property filtering was applied to the drug structures within the compound library. Active
compounds were then identified through virtual screening and cluster analysis. Subsequently,
we conducted MTT antitumor activity evaluation and kinase inhibition assays
for the active compounds to identify the most promising candidates. Furthermore, AO
staining and JC-1 assays were performed on the selected compounds. Ultimately, the preferred
compounds underwent molecular docking and molecular dynamics simulation
with the EGFR and c-Met proteins, respectively.

Result:
The IC50 of T13074 was determined as 2.446 μM for EGFRL858R/T790M kinase and
7.401 nM for c-Met kinase, underscoring its potential in overcoming EGFRL858R/T790M resistance.
Additionally, T13074 exhibited an IC50 of 1.93 μM on the H1975 cell. Results
from AO staining and JC-1 assays indicated that T13074 induced tumor cell apoptosis in
a concentration-dependent manner. Notably, the binding energy between T13074 and
EGFR protein was found to be -90.329 ± 16.680 kJ/mol, while the binding energy with
c-Met protein was -139.935 ± 17.414 kJ/mol.

Conclusion:
T13074 exhibited outstanding antitumor activity both in vivo and in vitro,
indicating its potential utility as a dual-target EGFR/c-Met inhibitor. This suggests its
promising role in overcoming EGFR resistance induced by the L858R/T790M mutation.
MiR-140-3p Normalizes Vascular Smooth Muscle Cell Behavior by
Inhibiting the RhoA/ROCK Signaling Pathway in Lower-extremity
Arteriosclerosis Obliterans
Authors: Wu Zhengzhong , Lin Junqing , Yan Leye , Yang Weizhu 
Published: June 2024

Background:
Excessive vascular smooth muscle cell (VSMC) proliferation and migration are the main contributors to the symptoms of lower-extremity arteriosclerosis obliterans
(ASO). Previous studies suggested that microRNAs (miRNAs) regulate VSMC activity. Nevertheless, the molecular mechanisms by which they do so are unclear.

Objective:
The present study aimed to identify the biological processes accounting for the effects of miR-140-3p on VSMCs in ASO.

Methods:
The expression levels of miR-140-3p in clinical samples were analyzed by real-time
polymerase chain reaction. An ASO cell model was established to investigate the expression of
miR-140-3p on VSMCs. The transwell® assays and MTT assays were used to assess migration
and proliferation. The interaction between RhoA and miR-140-3p was verified using the Dualluciferase reporter assay. Western blot technique was used to identify RhoA, RhoA-associated
protein kinase 1 (ROCK1), and ROCK2.

Results:
We discovered that miR-140-3p inhibited the proliferation, migration, and invasion but
promoted the apoptosis of VSMCs, and RhoA was its downstream target gene. RhoA, ROCK1,
and ROCK2 were upregulated in vascular tissues damaged by ASO compared to normal, healthy
arteries. MiR-140-3p also decreased RhoA, ROCK1, and ROCK2 mRNA and protein expression

Conclusion:
Overall, the present work partially elucidated the mechanism by which miR-140-3p
regulates VSMC function and offered novel insights into potential therapeutic approaches for
patients with lower-extremity arteriosclerosis obliterans
Establishing a Ten Disulfidptosis-related Gene Signature for Prognostic
Prediction in Skin Cutaneous Melanoma
Authors: Li Haiyan , Chen Zedong , Huang Yuanjie , Chen Chen , Cai Limin 
Published: June 2024

Aim:
Disulfidptosis is a new metabolic-related regulated cell death associated with
cancer growth. This study aimed to investigate the molecular mechanisms associated with disulfidptosis in skin cutaneous melanoma (SKCM) and establish a disulfidptosis-related gene signature for prognostic prediction in SKCM.

Methods:
Disulfidptosis-associated genes were identified from RNA-seq data of SKCM. A risk
score signature was developed and validated through univariate Cox and LASSO analyses. Additionally, the immune microenvironment related to the risk score signature was investigated.
Finally, a disulfidptosis-related genes-transcription factor -miRNA network was developed, and
the expression levels of five disulfidptosis-related genes were initially verified in SKCM cell
lines.

Results:
A total of 107 disulfidptosis-related differentially expressed genes in SKCM samples
were identified. A ten-disulfidptosis-gene signature was established, including BIN2, CCL3L3,
CCL8, CD79A, CIITA, CXCR3, DEFB1, GPR171, IL2RB, and SOCS1. The SKCM samples
were divided into high- and low-risk groups, of which samples in the low-risk group showed
better survival performance. The receiver operating characteristic curve analysis confirmed the
good potency of the disulfidptosis-related gene prognostic model. Except for DEFB1, the other
nine genes were positively related with T cell CD8+, T cell CD4+ memory activated, T cell
gamma delta, NK cell activated, and macrophage M1, and they were all negatively related with
NK cell resting, macrophage M0, macrophage M2, and mast cell activated. Finally, we verified
downregulated levels of SOCS1 and DEFB1 and upregulated CXCR3, BIN2, and CCL3L3 in
A875 and A375.

Conclusion:
We successfully established ten disulfidptosis-related genes' prediction prognostic
signatures for SKCM patients.
Significant Interaction between Melatonin and Titanium Bone Implants:
Available Evidence and Future Research Directions
Authors: Hosseinzadeh Azam , Bagherifard Abolfazl , Sheibani Mohammad , Karimi-Behnagh Arman , Reiter Russel J , Mehrzadi Saeed 
Published: June 2024

Abstract:
The trend in the incidence rate of bone fractures has been upward and as a result, the
burden associated with orthopedic fractures has increased significantly. Titanium (Ti) implants
are considered a preferred method of managing long bone fractures. However, no benefit comes
without some downside, and using Ti implants is associated with several complications. In this
respect, it was observed that in bones, Ti can disrupt the bone healing process by disturbing the
balance of osteoclast and osteoblast activation and also increasing the production of inflammatory cytokines. Melatonin is a widely-acting molecule that possesses strong anti-oxidant features.
This molecule reinforces mineral density and improves bone formation processes. In this review,
we focused on the protective effect of melatonin in mitigating the Ti-related complications.