bluuebunny/crossref_metadata_2025_split huggingface dataset:
H. pylori infection promotes the proliferation of gastric cancer via CDK1 expression
Authors: Zhang Zhongyan , Yong Xuejiao , Jiang Shen 
Published: September 2023

Abstract
Backgroud: The pervasiveness of H. pylori infection contributes to numerous gastrointestinal disorders, thus posing a significant challenge for patients and society alike. This research examines the influence of CDK1 in H. pylori infected gastric cancer.
Methods: The presence of CDK1 in H. pylori infected GC tissues and cell lines was ascertained through immunohistochemical fluorescence staining, Real-time PCR, and western blot methodologies. Moreover, CDK1 was silenced in GC cells via siRNA, and the mobility and invasive capacity of GC cells with CDK1 suppression were evaluated using Transwell assays. In the end, the levels of inflammation and cell apoptosis were assessed by ELISA and flow cytometry.
Results: The findings suggest that CDK1 is elevated in GC tissues and cell lines, showing a significant rise in H. pylori infected GC. Concurrently, H. pylori infection enhances the migratory and invasive potential by modulating CDK1. Further, H. pylori incites a robust cellular inflammatory response and apoptosis by modulating CDK1.
Conclusion: The study concludes that H. pylori infection can alter multiple physiological processes in host cells by controlling CDK1, implying that CDK1 could serve as a potential molecular target for combating H. pylori infection.
Cancer’s vulnerability to food availability is evolutionarily conserved: diet modulates tumorigenesis in both Hydra and zebrafish
Authors: TISSOT Sophie , GUIMARD Lena , MELIANI Jordan , BOUTRY Justine , DUJON Antoine M , CAPP Jean-Pascal , TOKOLYI Jácint , BIRO Peter A. , BECKMANN Christa , FONTENILLE Laura , KHOA Nam DO , HAMEDE Rodrigo , ROCHE Benjamin , UJVARI Beata , NEDELCU Aurora M , THOMAS Frédéric 
Published: September 2023

Abstract
Cancer is a disease that affects the control of cell proliferation in many multicellular lineages. Nonetheless, little is known about the extent of conservation of the biological traits and ecological factors that promote or inhibit tumorigenesis across the metazoan tree. Particularly, changes in food quantity and quality have been linked to increased cancer incidence in humans, an outcome of evolutionary mismatch. Here, we apply evolutionary ecology principles to test the hypothesis whether food availability, regardless of the multicellular lineage considered, should govern tumorigenesis. We used two phylogenetically unrelated model systems, namely the cnidarian Hydra oligactis and the fish Danio rerio to investigate the impact of resource availability on tumor emergence and progression. Individuals from healthy and tumor-prone lines were placed on four diets that differed in feeding frequency and quantity. For both models, frequent overfeeding favored tumor emergence, while lean diets appear more protective. When investigating tumor progression, high food availability promoted it, whereas low resources controlled it, but without curing the animals. We discuss our results in light of current ideas about the possible conservation of basic processes governing cancer in metazoans (including ancestral life history trade-offs at the cell level) and in the framework of evolutionary medicine.
The Influence of Anomalous Biomass Emissions on ENSO in CESM2
Authors: Fasullo John , Rosenbloom Nan , Buchholz Rebecca 
Published: September 2023

Abstract
The influence of biomass burning (BB) emissions on the transient coupled evolution of ENSO is explored in CESM2 using composite satellite-retrieved emissions during recent El Niño and La Niña events. For both El Niño and La Niña, four 20-member ensembles are generated from CESM2 initial states that are predisposed to evolve into ENSO events. For each ENSO phase, one ensemble is forced with observed BB emissions while the other is forced with climatological emissions, with the response to anomalous BB emissions estimated from inter-ensemble differences.
It is found that the regional BB anomalies associated with ENSO occur mainly during boreal fall and coincide with the climatological seasonal burden maxima, instigating a spatially and temporally complex climate response. The BB burdens are found to influence precipitation, cloud properties, and radiation in both the tropics and extratropics. At the onset of El Niño, BB anomalies increase precipitation in the northern branch of the ITCZ and enhance cloud albedo and amount across the Maritime Continent and eastern subtropical Pacific Ocean. Various other responses are identified at the onset and termination of La Niña. The net effect of these influences is to strengthen SST anomalies in the eastern Pacific Ocean during El Niño and broadly warm the tropical Pacific Ocean during La Niña, resulting in improved simulation of ENSO power, diversity, and asymmetry in CESM2.
A Novel Development and Validation of Differential Spectrophotometric Method for Determination of Domperidone in Tablet Dosage Form
Authors: Khant Hil , Viroja Dhruvi , Jani Bhavik 
Published: September 2023

Abstract
The amount of domperidone in pharmaceutical dose forms was measured using a straightforward, quick, and sensitive differential spectrophotometric approach. The approach is based on the uv- spectra-differentiated caused spectrum changes that occur when the ph of the medium is changed. To determine the amplitude, the absorbance difference between these two maxima was measured and plotted against concentration. With a detection limit of 0.15 g/ml, the calibration curve is linear over the concentration range of 2 to 10 µg/ml (r2 = 0.997) without the common element that comes with the drug interfering, the procedure was effectively applied to the commercial pharmaceutical drug. The outcome when statistically compared to the outcomes of the standard method. The assay of domperidone in pure and tablet dosage form was completed satisfactorily using the suggested procedures. The assay of domperidone in its pure form and in tablet dosage form was successfully conducted using the suggested procedures. Tablet excipients did not cause any interference when tested under the specified assay conditions and wavelengths. Statistics revealed no difference between the data and those acquired using the spectrophotometric approach described in the literature.
High-sensitivity deuterium metabolic MRI differentiates acute pancreatitis from pancreatic cancers in murine models
Authors: Frydman Lucio , Montrazi Elton , Sasson Keren , Agemy Lilach , Peters Dana , Brenner Ori , Scherz Avigdor 
Published: September 2023

Abstract
Deuterium metabolic imaging (DMI) is a promising tool for investigating a tumor’s biology, and eventually contribute in cancer diagnosis and prognosis. In DMI, [6,6’-2H2]-glucose is taken up and metabolized by different tissues, resulting in the formation of HDO but also in an enhanced formation of [3,3’-2H2]-lactate at the tumor site as a result of the Warburg effect. Recent studies have shown DMI’s suitability to highlight pancreatic cancer in murine models by [3,3’-2H2]-lactate formation; an important question is whether DMI can also differentiate between these tumors and pancreatitis. This differentiation is critical, as these two diseases are hard to distinguish today radiologically, but have very different prognoses requiring distinctive treatments. Recent studies have shown the limitations that hyperpolarized MRI faces when trying to distinguish these pancreatic diseases by monitoring the [1-13C1]-pyruvate◊[1-13C1]-lactate conversion. In this work, we explore DMI’s capability to achieve such differentiation. Initial tests used a multi-echo (ME) SSFP sequence, to identify any metabolic differences between tumor and acute pancreatitis models that had been previously elicited very similar [1-13C1]-pyruvate◊[1-13C1]-lactate conversion rates. Although ME-SSFP provides approximately 5 times greater signal-to-noise ratio (SNR) than the standard chemical shift imaging (CSI) experiment used in DMI, no lactate signal was observed in the pancreatitis model. To enhance lactate sensitivity further, we developed a new, weighted-average, CSI-SSFP approach for DMI. Weighted-average CSI-SSFP improved DMI’s SNR by another factor of 4 over ME-SSFP –a sensitivity enhancement that sufficed to evidence natural abundance 2H fat in abdominal images, something that had escaped the previous approaches even at ultrahigh (15.2T) MRI fields. Despite these efforts to enhance DMI’s sensitivity, no lactate signal could be detected in acute pancreatitis models (n = 10; [3,3’-2H2]-lactate limit of detection < 100 µM; 15.2T). This leads to the conclusion that pancreatic tumors and acute pancreatitis may be clearly distinguished by DMI, based on their different abilities to generate deuterated lactate.
Clinical efficacy and safety of acellular dermal matrix as a method of volume replacement after breast-conserving surgery
Authors: Kwon JinAh , Byon Jung Hee , Ko Byung Kyun , Kim Jin Sung , Bang Minseo 
Published: September 2023

Abstract

Background
The cosmetic outcome of breast conserving surgery (BCS) has recently gained attention, and surgeons are exploring the use of the acellular dermal matrix (ADM), a safe and effective method of breast reconstruction. This study evaluated the safety and effectiveness of the sheet-type ADM for reconstruction after BCS.
Method
The study included 137 patients who underwent BCS using ADM in a single center between October 2019 and October 2021. During surgery, a sheet-type ADM was folded and inserted according to the size and shape of the excised defect. Complications and cancer recurrence were evaluated during surveillance follow-up, and maintenance of the inserted ADM was evaluated quantitatively using volume analysis on CT scan.
Results
Of the 137 patients, 16 had minor complications and 17 underwent biopsy during the surveillance period. One patient was diagnosed with recurrence. The volume of the ADM was measured in 67 patients, and the mean volume difference between the first and last CT scans was 2.65 ± 2.20 cm3 (p = 0.000).
Conclusion
Insertion of ADM is an effective and safe method to fill the volume defect after BCS despite the slight volume change, and it does not interfere with postoperative surveillance.
The Relationship between Unpredictability in Childhood and Depression Among College Students: The Mediating Role of Coping Style and Resilience
Authors: Ye Chengxiu , Ye Baojuan , Zhang Zheng 
Published: September 2023

Abstract
Background
According to previous studies, unpredictability in childhood could significantly increase the risk of depression in adulthood. Only a few studies have explored the relationship between these two variables in China. This paper aims to explore the relationship between unpredictability in childhood and depression and examine the mediating roles of coping styles and resilience.
Methods
According to the properties of the bias-corrected bootstrap method, we surveyed 601 college students with an average age of 19.09 (SD = 2.78) years. Participants completed questionnaires regarding unpredictability in childhood, coping style, resilience, and depression.
Results
The results showed that childhood unpredictability is linked to higher rates of depression. Additionally, coping style, whether mature or immature, plays a mediating role in the relationship between childhood unpredictability and depression. Furthermore, resilience also plays a mediating role in this relationship, helping to buffer the effects of coping style on depression.
Conclusions
The results indicated that the risk of depression among college students who have experienced unpredictable childhood should be valued. Attention to coping styles and resilience should be paid to decrease depression among college students who have experienced unpredictable childhood.
Decorated vesicles as prebiont systems (a hypothesis)
Authors: Fisk Martin , Popa Radu 
Published: September 2023

Abstract
Due to competition with modern life forms, no primitive living systems now remain to teach us about how early protocells may have functioned. This selection, however, does not apply to abiotic prebiont systems that formed by natural processes and did not require genetic inheritance to function. Yet very few such system examples are available for research. Decorated vesicles from deep seafloor basalts show four potentially life-analogous features and are interesting prebiotic-system candidates for origin-of-life research. These properties are: a physical enclosure, carbon-assimilatory catalysis, semi-permeable boundaries, and a source of usable energy. Nanometer to micron-sized spherules on the inner walls of decorated vesicles are proposed to function as mineral proto-enzymes. Chemically, these structures resemble synthetic FeS clusters shown to convert CO2, CO and H2 into small organics. Secondary phyllosilicates line the vesicles’ inner walls and fill openings. Clays can act as molecular sieves between the vesicles’ interior and the surrounding aquifer. Lastly, basalt glass in the vesicle walls uptakes protons, which replace cations in the silicate framework. This will result in an inward proton flux, reciprocal outward flux of metal cations, more alkaline pH inside than outside, and production of more phyllosilicates. Such life-supporting features could have been exploited later to assist the origin of chemical networks toward protolife systems. Decorated vesicles are proposed as study models of prebiotic systems and expected to have existed on the early Earth as well. Their analysis can lead to better understanding of changes in planetary geocycles during the origin of life.
Effect of Vibration of the Mixer on the Red Blood Cells
Authors: Xiang Chuang , Yun Zhong , Wang Liang 
Published: September 2023

Abstract
Purposes: There is often vibration in red blood cells (RBCs) processing, blood transfusion, blood conveyance and so on. The effect of vibration on human RBCs should be researched for more details in order to reducing the deviation in experiments with vibration of device.
Methods: In this paper, flow cytometry is applied to detect the deformation, micro structure and cytokine expression of IgG and IgA of the human RBCs affected by vibration of the Mixer with different frequency (750 rpm and 1500 rpm) and duration (5 min and 10 min) and container volume (96 well plate and 48 well plate).
Results: The size of RBCs in duration of 10 min is obviously smaller than the duration of 5 min. The difference of frequency and container volume has almost the little effect on the size of RBCs in the groups of 10 min. But in the groups of 5 min, the increase of frequency or decrease of container volume can lead to the decrease of the size of RBCs. Some echinocytes appear in the photomicrograph of all the groups of 10 min. The micro structure of the RBCs is not influenced by the vibration of the Mixer. The increase of frequency or decrease of container volume leads to higher cytokine expression of IgG in groups of 5 min.
Conclusion: So, the vibration cannot be ignored for it may influence the shape, cytokine expression of the RBCs, and should be concerned in the experiments and devices with RBCs.
Deep Learning Applied to the SARS-CoV-2 Classification
Authors: Azevedo Karolayne , Souza Luísa , Coutinho Maria , Barbosa Raquel , Fernandes Marcelo 
Published: September 2023

Abstract
Purpose: The primary objective of this study was to develop and evaluate a deep neural network model based on convolutional neural networks (CNNs) for accurately classifying SARS-CoV-2 viral sequences and other subtypes within the Coronaviridae family. With the rapid evolution of viral genomes and the increasing need for timely classification, we aimed to provide a robust and efficient tool that could enhance the accuracy of viral identification and classification processes. By harnessing the power of deep learning, we sought to contribute to advancing viral genomics research and aid in surveilling emerging viral strains.
Methods: We designed and implemented a CNN-based deep neural network architecture capable of processing complete cDNA genomic sequences to achieve our goal. We used a dataset comprising diverse viral subtypes, including SARSCoV- 2, for training and testing. The dataset was partitioned using a 5-fold cross-validation strategy to ensure rigorous evaluation. Our model’s performance was assessed using various metrics, including accuracy, precision, sensitivity, specificity, F1-score, and AUROC. Additionally, artificial mutation tests were conducted to evaluate the model’s generalization ability across sequence variations. We also used the BLAST algorithm and conducted comprehensive processing time analyses for comparison.
Results: The developed CNN-based model demonstrated exceptional performance across various evaluation metrics. In the training phase, the model consistently achieved maximum values for accuracy, sensitivity, specificity, and other key metrics, indicating its robust learning ability. Notably, during testing on over 10,000 viral sequences, the model exhibited a sensitivity of over 99% for sequences with fewer than 2,000 mutations. The CNN-based model showcased superior accuracy and significantly reduced processing times compared to the BLAST algorithm. These findings underscore the model’s effectiveness in accurately classifying viral sequences and its potential to revolutionize viral genomics research.
Conclusion: This study introduces a CNN-based deep neural network model as a powerful tool for precisely classifying viral sequences, specifically focusing on SARS-CoV-2 and other Coronaviridae family subtypes. Our model’s superiority is evident through rigorous evaluation and comparison with existing methods, offering enhanced accuracy and efficiency. The application of artificial mutation testing demonstrated the model’s robustness in handling sequence variations. By harnessing deep learning capabilities, our model significantly contributes to viral classification and genomics research. As viral surveillance becomes increasingly critical, our model holds promise in aiding rapid and accurate identification of emerging viral strains.
Gut microbiota diversity of three cyprinid fish in polyculture pond and their relationship with environmental microbiota
Authors: Xie Jianfeng , Jiang Hong , Chen Qiuhong , Shan Shijuan , Wang Lei , Yang Guiwen , Li Hua 
Published: September 2023

Abstract
Background
Polyculture is a culture mode in which a variety of fishes with complementary or competitive diets and different ecological niches are mixed in a single pond. It is usually used in the culture of cyprinids and is a traditional and effective measure to optimize nutritional resources. Generally, in the ponds of the Yellow River in Jinan City, Shandong Province, China, there is a more polyculture of carp and grass carp, and there are also polyculture ponds of carp, grass carp and crucian carp, which can increase fish production and improve economic benefits while optimizing the utilization of nutrient resources.
Results
The growth rates and disease resistance of fish in polyculture systems are quite different, while the gut microbiome diversity of fish in polyculture ponds is unclear. In the present study, high-through put sequencing technology was used to analyze the composition of gut microbiota of three cyprinid fish in polyculture ponds. The similarities and differences between the gut microbiota of co-cultured fish, as well as the similarities and differences with environmental flora such as pond sediment and pond water were analyzed. The results showed that Proteobacteria, Firmicutes and Bacteroidetes were dominant among the three cyprinid fish and the composition, diversity and abundance of gut microbiota of the three species were significantly different from that of pond water and pond sediment. However, compared with grass carp, the similarity of gut microbiota between crucian carp and common carp was higher, which have similar feeding habits. There was no significant difference in the composition of bacteria in intestinal contents and intestinal mucus of common carp. Common carp, crucian carp and grass carp contained 212,103 and 57 core bacterial species, respectively, and shared 22 core bacterial species. However, the relative contents of unique and common core bacterial species in various samples were different.
Conclusions
This study analyzed and discussed the composition of microflora in the intestinal contents and mucus of common carp, the similarities and differences of intestinal microflora with crucian carp and grass carp, and the similarities and differences with environmental samples, so as to provide a theoretical basis for enriching the theoretical knowledge of common carp intestinal microflora in polyculture ponds, as well as aquaculture and disease prevention.
Hybrid multi-channel electrically tunable bandstop filter based on DAST electro-optical material
Authors: Qi Yunping , Zhang Shu , Shi Qiang , Zhao Shiyu , Zhou Zihao , Su Mingrui , Wang Xiangxian 
Published: September 2023

Abstract
A voltage-tunable hybrid multichannel bandstop filter utilizing a metal-insulator-metal (MIM) waveguide is presented in this work. The unique aspect of this filter is its ability to achieve three narrowband and one broadband filtering functions simultaneously. The filter design comprises two asymmetric composite cavities filled with an organic electro-optical material called 4-dimethylamino-N-methyl-4-toluenesulfonate (DAST). These composite cavities consist of a rectangular cavity combined with an annular cavity. The annular cavity is formed by connecting two rectangular cavities with two semi-elliptical annular cavities. Using the finite element method (FEM), we thoroughly study and analyze the transmission spectrum and magnetic field distribution of the filter. We also delve into the impact of various structural parameters on the transmission spectrum. Our analysis demonstrates that the bandstop filter achieves a remarkable minimum transmittance of 0.02%, 0.29%, and 0.1%, alongside minimum bandwidths of 5 nm, 9 nm, and 25 nm in three narrowband modes, respectively. These modes attain maximum quality factors (Q) of 123.7, 87.1, and 44.2. In the broadband mode, the stopband bandwidth covers 70 nm, and the adjustable range spans from 1695 nm to 2065 nm. The filter's characteristics can be dynamically adjusted by applying a control voltage, introducing a remarkable level of tunability while maintaining stable filter performance. To enhance its performance, we optimize the basic structure, yielding a broadened bandwidth of 238 nm for the broadband mode. This extended bandwidth comes with exceptional electrical tuning characteristics intact. Our proposed voltage-tunable hybrid multichannel bandstop filter presents a versatile solution with significant potential applications in high-density integrated circuits and nano-optics.
Memory-induced alignment of colloidal dumbbells
Authors: Kumar Karthika Krishna , Caspers Juliana , Ginot Felix , Krüger Matthias , Bechinger Clemens 
Published: September 2023

Abstract
When a colloidal probe is forced through a viscoelastic fluid which is characterized by a long stress-relaxation time, the fluid is excited out of equilibrium. This is leading to a number of interesting effects including a non-trivial recoil of the probe when the driving force is removed. Here, we experimentally and theoretically investigate the transient recoil dynamics of non-spherical particles, i.e., colloidal dumbbells. In addition to a translational recoil of the dumbbells, we also find a pronounced angular reorientation which results from the relaxation of the surrounding fluid. Our findings are in good agreement with a Langevin description based on the symmetries of a director (dumbbell) as well as a microscopic bath-rod model. Remarkably, we find a frustrated state with amplified fluctuations when the dumbbell is oriented perpendicular to the direction of driving. Our results demonstrate the complex behavior of non-spherical objects within a relaxing environment which are of immediate interest for the motion of externally but also self-driven asymmetric objects in viscoelastic fluids.