bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aplication of Box-Behnken Design to Optimize the Coprecipitation Parameters to Assess As and Cd Contamination in Marine Fish
Authors: Sá Ivero Pita , Higuera Julymar Marcano , Silva Carlos Alberto , Nogueira Ana Rita Araujo 
Published: November 2022

Abstract

A Box-Behnken design approach was used to plan the experiments for As and Cd determination in fish samples. It combines microwave-induced plasma optical emission spectrometry (MIP OES) with silver nitrate and potassium chromate coprecipitation. Multiple Response methodology (MR) has been adopted to express the output parameters (responses) that are decided by the input process parameters. MR also quantifies the relationship between the variable input parameters and the corresponding output parameters. Factors that directly affect the coprecipitation procedure, such as silver and chromate concentrations and solvent volume, were optimized. The optimized conditions were 5.46 x10− 4 mol L− 1 [CrO42−] and 1.16 x10− 3 [Ag+], without needed of solvent addition. The procedure provided preconcentration factors of 25 and 11 for As and Cd, respectively, and LOD adequate to the international legislation. The trueness was assessed with the analysis of certified reference materials (CRMs) and compared with inductively coupled plasma mass spectrometry (ICP-MS). Relative standard deviations < 9% and 3.5% and recoveries > 91% and 88% were obtained for As and Cd, respectively. The method was applied to local market fish samples and showed suitability for As and Cd determination by MIP OES.
Abnormal performance of Peroral endothelial myonomy (POEM): a case misdiagnosed as achalasia of cardia
Authors: Yu Wen-Quan , Gao Hui-Jiang , Zhai Li-Xue , Wei Yu-Cheng 
Published: November 2022

Abstract
Background: Pseudoachalasia is a rare disease that behaves similarly to achalasia (AC), making it sometimes difficult to differentiate.
Case presentation: We report a case of 49-year-old m ale with adenocarcinoma of the gastroesophageal junction misdiagnosed as achalasia. No obvious abnormalities were found in his initial examinations including upper digestive endoscopy, upper gastrointestinal imaging and chest computed tomography (CT). During the subsequent introduced-peroral endoscopic myotomy(POEM), it was found that the mucosal layer and the muscular layer had severe adhesion, which did not receive much attention, delayed the clear diagnosis and effect treatment, and ultimately led to a poor prognosis for patients.
Conclusions: This case suggests that when patients with AC found mucosal and muscular adhesions during POEM surgery, the possibility should be considered that the lesion may be caused by a malignant lesion.
Nuclear Respiratory Factor 1 drives hepatocellular carcinoma progression by forming a positive feedback loop with LPCAT1-ERK1/2-CREB axis
Authors: Liu Ran , Yin Chuanzheng , Zhao Peng , Guo Bing , Ke Wenbo , Zheng Xichuan , Xie Dawei , Wang Yaofeng , Wang Gengqiao , Jia Yinzhao , Gao Yang , Hu Wenjun , Liu Gang Logan , Song Zifang 
Published: November 2022

Abstract
Background
Nuclear respiratory factor 1 (NRF1) is a transcription factor that participates in several kinds of tumor, but its role in hepatocellular carcinoma (HCC) remains elusive. This study aims to explore the role of NRF1 in HCC progression and investigate the underlying mechanisms.
Methods
HCC transcriptome sequencing data from TCGA was analysed. Functional role of NRF1 on HCC cells was explored by gain- and loss-of-function experiments including CCK8, colony formation assay, flow cytometry analysis, transwell assay, wound-healing assay and xenograft tumor model. Western blot, qRT-PCR, chromatin immunoprecipitation (ChIP) and dual luciferase reporter assay were utilized to investigate the underlying mechanisms.
Results
NRF1 was overexpressed and hyperactive in HCC tissue and cell lines and high expression of NRF1 indicated unfavorable prognosis of HCC patients. NRF1 promoted proliferation, migration and invasion of HCC cells both in vitro and in vivo. Mechanistically, NRF1 activated ERK1/2-CREB signaling pathway by transactivating lysophosphatidylcholine acyltransferase 1 (LPCAT1), thus promoting cell cycle progression and epithelial mesenchymal transition (EMT) of HCC cells. Meanwhile, LPCAT1 upregulated the expression of NRF1 by activating ERK1/2-CREB signaling pathway, forming a positive feedback loop.
Conclusions
NRF1 is overexpressed in HCC and promotes HCC progression through NRF1-LPCAT1-ERK1/2-CREB positive feedback loop. NRF1 is a promising therapeutic target for HCC patients.
Endoscopic far-lateral supracerebellar infratentorial approach for resection of dumbbell-shaped trigeminal schwannoma: Surgical techniques and preliminary results
Authors: Chen Pin , Yan Chaolong , Xie Tao , Li Chen , Liu Tengfei , Yang Qiaoqiao , Liu Shuang , Wu Silin , Yeh Yuyang , Zhang Xiaobiao 
Published: November 2022

Abstract
Background
Trigeminal schwannomas (TSs) are mostly benign tumors and the dumbbell-shaped subtype is the most challenging, surgery remains difficult and risky.
Objective
We introduce a novel surgical approach named endoscopic far-lateral infratentorial supracerebellar approach (EFL-SCITA) for removing dumbbell-shaped TSs, and further discuss our experience and operation technique.
Methods
EF-SCITA was performed for resection of 5 cases of TSs between January 2020 and April 2022. The entire procedure was done endoscopically with the goal of total tumor resection. During the operation, the tumor was exposed in close proximity and multiple angles under the endoscope, and the peri-tumor nerves were carefully identified and protected, especially the normal trigeminal fiber bundles around the tumor.
Results
All the tumors of 5 cases involved the middle and posterior cranial fossa, of which total removal was achieved in 2 cases, near-total removal in 2 cases and subtotal removal in 1 case. Most common preoperative symptoms improved after surgery. Two patients had postoperative mild facial paralysis (House-Brackmann grade II), 1 patient had abducens palsy, both recovered during the follow-up period. Two patients experienced new postoperative facial hypesthesia and 1 experienced mastication weakness, which were not recovered. There was no tumor recurrence or residual tumor growth during the follow-up period in any of the patients.
Conclusion
EFL-SCITA is a new and effective alternative for the surgical treatment of TSs. For dumbbell-shaped TSs, this approach provides sufficient surgical field exposure and freedom of operation.
The Transfer Film Effects Induced by 3D Printing Polyether-ether-ketone with Excellent Tribological Properties
Authors: Li Yang , Zheng Jibao , Sun Changning , Li Dichen 
Published: November 2022

Abstract
The building principle of additive manufacturing determines that the printing orientation is one of the key factors affecting the tribological properties of joint prosthesis. Here, fused filament fabrication was used to fabricate polyetheretherketone (PEEK) joint prosthesis, and the effects of printing orientation on the tribological properties of PEEK were investigated by pin-on-plate tribometer in 25% new born calf serum. The UHMWPE transfer film formed on the surface of PEEK, which could be attributed to the mechanically capture of wear debris by the 3D printing groove morphology. The transfer film could be regulated by printing orientation of PEEK. When the printing orientation was parallel to the sliding direction of wear, the number and size of transfer film was larger due to more steady stress compared to other directions. As a result, the friction coefficient, wear volume and wear rate of friction pairs were all decreased from 90° to 0° direction. In addition, the concept and equation of transfer rate was proposed to quantitatively evaluate the ability of wear debris came into being transfer film on the surface of PEEK.
Curcumin derivative 1,2-bis((3E,5E)-3,5-bis(4-chlorobenzylidene)-4-oxopiperidine-1- yl)ethane-1,2-dione hemihydrate, ST09, regulates miR-197-5p/GPX3 axis in breast cancer cells and abrogates tumor growth in mouse xenograft model
Authors: Nirgude Snehal , Desai Sagar , Ravindran Febina , Mahadeva Raghunandan , Sharma Shivangi , Thumsi Jayanthi , Choudhary Bibha 
Published: November 2022

Abstract

Purpose: ST09, a potent curcumin derivative, exhibited apoptotic and anti-migratory activity in breast cancer cells in vitroand tumor reduction in vivo reported earlier. Here we aim to understand ST09 induced transcriptomic changes on regulation of the novel miR-197/GPX3 axis.We also aim to understand combinatory potential of ST09, anti-tumor efficacy in xenograft mice tumor model and its bioavailability studies.
Methods: We performed mRNA-seq and miRNA-seq to capture the transcriptome of ST09 induced breast cancer cells. We used integrated approaches, to show regulation of miR-197/GPX3 axis via ST09. By performing luciferase assay and GPX activity assay, we confirm that GPX3 is one of the major targets of miR-197. We also showed anti-tumor effect ST09 on TNBC xenograft mice model. Phalloidin staining and wound healing assay were assayed to study migrastatic properties of ST09. The bioavailability studies of ST09 were also performed.
Results:This study explored the global transcriptome profile of ST09 treated breast cancer cells (luminal and TNBC). The integrated approach revealed ST09 mediated regulation of a novel miRNA-mRNA axis, miR-197-5p/GPX3. Using GPX3 enzyme assay, we show the anti-proliferative role of GPX3 in breast cancer cells. We established GPX3 as a direct target of miR-197-5p. We show that ST09 potentiates the effect of cisplatin on breast cancer cells in vitro and reduces tumor burden in vivo with minimum toxicity. ST09 also showed a significant tumor reduction TNBC xenograft mice model. We show that the bioavailability of ST09 is 200X better than curcumin.
Conclusion: ST09 is a potent curcumin derivative with a tumor-suppressive role. The integrated approach with the ST09 drug indicated the role of the miR-197-5p/GPX3 axis in breast cancer cells. ST09 upregulated GPX3 by repressing miR-197-5p and mediated the anti-proliferative effect in breast cancer cells. ST09 can be exploited either as a single chemotherapeutic agent or in combination treatment modalities, reducing the dosage of potent drugs.
Learning Inverse Kinematics using Neural Computational Primitives on Neuromorphic Hardware
Authors: Zhao Jingyue , Monforte Marco , Indiveri Giacomo , Bartolozzi Chiara , Donati Elisa 
Published: November 2022

Abstract
Current low latency neuromorphic processing systems, and future ones based on ultra-low power mixed-signal circuits in advanced technology nodes and memristive nano-scale devices, hold great potential for developing autonomous artificial agents. However, the variable nature and low precision of the underlying hardware substrate pose severe challenges for robust and reliable performance. To address these challenges, we adopt hardware-friendly processing strategies based on brain-inspired computational primitives, such as triplet spike-timing dependent plasticity, basal ganglia inspired disinhibition, and cooperative-competitive networks. We demonstrate this approach by presenting an example of robust real-time motor control using a hardware spiking neural network implemented on a mixed-signal neuromorphic processor, trained to learn the inverse kinematics of a 2-joint robotic arm. The final system is able to perform low-latency control robustly and reliably using noisy silicon neurons. The spiking neural network, trained to control two joints of the iCub robot arm simulator, performs a continuous target reaching task with 97.93% accuracy, 33.96 ms network latency, 102.1 ms system latency and with an estimated power consumption of 26.92 µW. This work provides insights into how specific computational primitives used by real neural systems can be applied to neuromorphic computing for solving real-world engineering tasks. It represents a milestone in the design of end-to-end spiking robotic control systems, relying on event-driven sensory encoding, neuromorphic processing, and spiking motor control.
A qualitative descriptive cross sectional study to assess the development of stress among Fujairah Primary health care nurses and ways of coping up during Covid-19 pandemic crisis.
Authors: Varghese Reena 
Published: November 2022

Abstract
Aim: The aim of this study was to explore perceptions of the most salient sources of stress in the early stages of the coronavirus pandemic in a sample of nurses who were working in Fujairah Primary health care during the year 2020-21.
Background: During pandemic process, nurses reported to experience stress due to a very high risk of being infected and workload. The coronavirus disease (COVID-19) pandemic has exposed nurses to conditions that threaten their health, well-being, and ability to work. It is therefore critical to study nurses’ experiences and well-being during the current crisis in order to identify risk groups for ill health and potential sources of organizational intervention.
Method: A qualitative descriptive cross-sectional study with a sample consisting of 180 nurses working in Fujairah Primary health care centers. To collect data, an online survey questionnaire was formulated which was used together with the Perceived Stress Scale among a sample of 280 nurses who were working in Fujairah Primary health care 2021. Content analysis was conducted on nurses’ responses (n = 180) for their perceptions.
Results: 180 nurses’ responses(N) were randomly chosen as samples in this current study of which majority were female (n = 161, 89.4%) and only 10.6%(n=19) were males. Findings revealed the distribution of respondents by stress level either low and moderate. 89.4% of respondents had moderate stress level as compared to 10.6% with less stress. There is no presence of normal and high stress. There was no significant association between the stress when compared to socio-economic factors like age, gender, marital status, qualification, and job title (P > 0.05). But when it compared to the relationship with working position and working area, it was showing a significant association (P ≤0.05).
Conclusion: Nearly more than half of the nurses in Fujairah primary health care centers perceived stress above average during COVID-19 pandemic, and their working conditions also affected this situation.
Implications for Nursing Management: Healthcare institutions should provide opportunities for nurses to discuss the stress they are experiencing, support one another, and make suggestions for workplace adaptations during this pandemic. Meeting physiological needs, applying psychological guidance and counselling interventions in the stress management of nurses may contribute to the reduction of their stress levels. Effective infection control, reducing workload, increasing the number of nurses and strengthening the coping mechanisms can minimize the perceived stress level of nurses.
A Personalized Recommendation System by Incorprating Graph Neural Network with Attention Mechanism
Authors: Wilson Mark , Korshin James , Pollard Bernd , Leckie Krik 
Published: November 2022

Abstract
As an important link in the information service of Internet products, the recommendation system has become an important way for users to get information from the huge amount of Internet data. Among existing studies, collaborative filtering has become a widely used method in recommender systems due to its good performance, but it uses a shallow model that cannot learn the deep non-linear features of users and items. In addition, content-based recommendation methods make recommendations by making full use of user registration information and item profiles, but this method also requires effective feature extraction, relying on feature engineering i.e., by manually extracting or design features, which makes the effectiveness and scalability of the method very limited and limits the performance of the recommendation algorithm. In recent years, deep learning has made a great impact in natural language processing, speech recognition, and image processing. This has led to a new breakthrough in the research of recommendation systems. Graph neural network algorithms extend traditional deep learning methods, such as convolution, to the domain of graph data, and combine the idea of data propagation to form deep learning algorithms on graphs, which have achieved good results in social networks, recommendation systems, knowledge graphs, and other fields. In this paper, we focus on the shallow output of the intermediate layer output. A multi-headed attention mechanism is used to fuse the multi-layer output information, so that the shallow structural features provided by the intermediate layer can be better involved in the scoring prediction task, which makes the application of graph neural networks in recommendation systems further improved.
Dietary Flavonoids and Adult Neurogenesis: Potential Implications for
Brain Aging
Authors: Davinelli Sergio , Medoro Alessandro , Ali Sawan , Passarella Daniela , Intrieri Mariano , Scapagnini Giovanni 
Published: November 2022

Abstract:
Adult neurogenesis deficiency has been proposed to be a common hallmark in different age-related neurodegenerative diseases. The administration of flavonoids is currently reported as a potentially beneficial strategy for preventing brain aging alterations, including adult neurogenesis decline. Flavonoids are a class of plant-derived dietary polyphenols that have drawn attention for their neuroprotective and pro-cognitive effects. Although they undergo extensive metabolism and localize in the brain at low concentrations, flavonoids are now believed to improve cerebral vasculature and interact with signal transduction cascades involved in the regulation of adult neurogenesis. Further-more, many dietary flavonoids have been shown to reduce oxidative stress and neuroinflammation, improving the neuronal microenvironment where adult neurogenesis occurs. The overall goal of this review is to summarize the evidence supporting the role of flavonoids in modulating adult neurogene-sis as well as to highlight how these dietary agents may be promising candidates in restoring healthy brain function during physiological and pathological aging.
PROTAC: A Novel Drug Delivery Technology for Targeting Proteins in
Cancer Cells
Authors: Bala Rajni , Sindhu Rakesh Kumar , Madaan Reecha , Yadav Shantanu Kumar 
Published: November 2022

Abstract:
The treatment measures of malignant carcinomas are most important for human health. In
recent years the use of targeted therapy based on small molecule compounds and identical immunoglobulin
has been the most frequently used tool to combat cancerous cells. But there are still several
limitations in their clinical development and applications, including their ability to bind multiple molecular
target sites, both cell surface receptors and intracellular proteins, promoting a greater risk of
toxicity. PROTAC is a novel technology that maintains a balance between protein synthesis and degradation
and uses molecules instead of conventional enzyme inhibitors, containing two active domains
and a linker to destroy unwanted selective protein (like kinase, skeleton protein and regulatory protein).
PROTACs are heterobifunctional nano molecules with a size range of about 10 nanometres that
eliminate the protein complexes formed by protein-protein interaction through large and flat surfaces
generally defined as “undruggable” in conventional drug delivery systems, which include around 85%
of proteins present in humans, suggesting their wide application in the field of drug development.
Such peptide-based PROTACs have successfully shown targets' destruction in cultured cells (e.g.,
MetAP-2, and FKBP12F36V, receptors for estrogens and androgen). However, some obstacles prevent
this technology from transferring from the laboratory to its actual clinical utility, such as delivery system
and bioavailability. The scope of the presented review is to give an overview of novel PROTAC
technology with its limitations, advantages, mechanism of action, and development of photocontrolled
PROTACs and to summarize its futuristic approach to targeting proteins in cancer cells.
Endogenous AMPKα2 Mediates the Inhibition of Biliary Fibroblasts
Proliferation
Authors: Lu Jiamei , Yu Liang , Shi Jianhua 
Published: November 2022

Background:
Although it has been established that activating adenosine monophosphateactivated
protein kinase (AMPK) inhibits cell proliferation in several cells, it is unknown whether AMPK
is involved in inhibiting biliary fibroblast growth.

Objective:
The objective of this study is to specifically investigate the influence of AMPK isoforms on
proliferation.

Methods:
To further address its underlying molecular mechanisms, primary cultured rat biliary fibroblasts
were transfected with sequence-specific AMPK1 or AMPK2 siRNA.

Results:
Our findings show that knocking down AMPK2 greatly increased the proliferation of primary
cultured biliary fibroblasts, accompanied by the activation of mTOR, an increase in S-phase kinaseassociated
protein 2 (Skp2) expression, and a decrease in p27 protein levels. AMPK2 inhibition-triggered
Skp2 overexpression and concomitant p27 decrease, as well as biliary fibroblast proliferation, were reversed
by rapamycin inhibition or previous silencing of Skp2 production by targeted small interfering
RNA (siRNA) transfection.

Conclusion:
We concluded that AMPK2 regulates the mTOR/Skp2/p27 signaling pathway and causes
endogenous suppression of primary cultured biliary fibroblast growth. The reduction of biliary fibroblast
proliferation by AMPK2 could be a potential method in treating benign biliary stricture (BBS).
Using Real-Time, Partially Automated Interactive System to Interpret Patient’s
Data; Helping The Patient To Achieve Diabetic Self-Management:
A Rapid Literature Review
Authors: Hani Salam B. , Saleh Mohammad Y. 
Published: November 2022

Background:
Diabetes is an endocrine chronic condition with a high prevalence rate
among the population that needs a complex management process. However, many advanced health
care technologies were evolving to help patients achieve their centered care and self-management
using real-time proactive techniques through interactive systems to detect early complications and
prevent them. The purpose of the current review is to assess the findings of literature reviews of the
main interventions that used a real-time partially automated interactive systems to interpret patient’s
data including biological information, exercise, and dietary content calculated from a message
sent by the patient and respond with actionable findings, helping patients to achieve diabetes
self-management.

Methods:
PubMed\ MEDLINE, CINAHL, Google Scholar, and Research Gate were used to search
the literature for studies published between the periods 2015 to 2021.

Results:
Eleven articles were included in the literature review. The retrieved studies approved the
significant effect of achieving diabetic self-management by utilizing Information Technology (IT)
with the Natural Language Processing (NLP) methods by sending a real-time, partially automated
interactive system to interpret patient's biological information, physical activity, and dietary content
calculated using a message sent by patients to achieve their self-management.

Conclusion:
Improved blood glucose levels, glycemic control, better readings of blood pressure,
and lifestyle improvement including dietary intake and physical activity were offered using continuous
real-time messages to improve their health outcomes.