bluuebunny/crossref_metadata_2025_split huggingface dataset:
ERK/MAPK Signalling Pathway Regulates MMP2 through ETS1 in
Renal Clear Cell Carcinoma
Authors: Chen Hai-Bin , Li Wei , Yang Zhan , Liu Kai-Long , Lu Bao-Sai , Wang Zi-Yi 
Published: May 2023

Background:
The c-ETS-1 (ETS1) expression is high in clear cell renal cell
carcinoma (ccRCC) tissues; however, how it impacts ccRCC is currently unknown.

Method:
The online STRING web source was used to construct a protein network
interacting with ETS1. The Cell Counting Kit-8 was used to detect the cell viability. A
clonogenic assay, a wound-healing assay, and a Transwell assay were used to detect
cell proliferation, invasion and migration abilities. Western blot was used to detect the
expression of proteins.

Result:
The data showed the expression of ETS1 in ccRCC tissues to be significantly
increased compared to adjacent tissues (p<0.05). The positive expression of ETS1 in
ccRCC patients aged 20–100 was statistically significant compared to adjacent normal
tissues (p<0.05). The grade of ETS1 positive expression (1-4) and lymph node
metastasis (N1) in ccRCC were significantly higher than those in adjacent normal tissues
(p<0.05). The tumour stage (stages 1-4) in ccRCC patients with positive ETS1 expression
was significantly higher than that in adjacent normal tissues (p<0.05). Knockdown
of ETS1 and PERK inhibitors significantly inhibited the proliferation, migration and
invasion of ccRCC cells. Knockdown of ETS1 inhibited MMP-2 expression, and an
extracellular signal-related kinase (ERK) inhibitor inhibited both ETS1 and MMP-2
expression.

Conclusion:
A high expression of ETS1 is associated with the progression of ccRCC.
This study suggests that ETS1 promotes proliferation by increasing MMP2 expression in
ccRCC, and combined knockdown of ETS1 and inhibition of ERK can significantly inhibit
the proliferation, migration and invasion of ccRCC. ETS1 may be a therapeutic and
prognostic target for renal cell carcinoma.
The Role and Application of Fibroblast Activating Protein
Authors: Zhang Xiao-lou , Xiao Wang , Qian Jian-ping , Yang Wan-jun , Xu Hao , Xu Xing-da , Zhang Guo-wei 
Published: June 2023

Abstract:
Fibroblast activation protein-α (FAP), a type-II transmembrane serine
protease, is rarely expressed in normal tissues but highly abundant in pathological
diseases, including fibrosis, arthritis, and cancer. Ever since its discovery, we have
deciphered its structure and biological properties and continue to investigate its roles in
various diseases while attempting to utilize it for targeted therapy. To date, no significant
breakthroughs have been made in terms of efficacy. However, in recent years, several
practical applications in the realm of imaging diagnosis have been discovered. Given its
unique expression in a diverse array of pathological tissues, the fundamental biological
characteristics of FAP render it a crucial target for disease diagnosis and immunotherapy.
To obtain a more comprehensive understanding of the research progress of
FAP, its biological characteristics, involvement in diseases, and recent targeted
application research have been reviewed. Moreover, we explored its development trend
in the direction of clinical diagnoses and treatment.
Cardiovascular Protection of Aspirin in Chronic Kidney Disease Patients:
An Updated Systematic Review and Meta-Analysis
Authors: Chen Ting , Deng Yunlei , Gong Rong 
Published: June 2023

Purpose:
To evaluate aspirin's cardiovascular (CV) protective effect in chronic kidney disease
(CKD) patients.

Methods:
We searched PubMed, Embase, Cochrane Library, and Web of Science (up to December
2022) for randomized controlled trials (RCTs) and observational studies comparing aspirin with placebo
in CKD patients for the prevention of CV disease (CVD). Efficacy outcomes included CVD, heart failure,
myocardial infarction, stroke, CV and all-cause mortality; safety outcomes included major bleeding,
minor bleeding, and renal events.

Results:
Six RCTs and 6 observational studies, including 35,640 participants, met the inclusion criteria
and reported relevant CV outcomes, with a mean follow-up of 46.83 months. The pooled data showed
aspirin had no significant preventive effect on CVD events (RR=1.03; 95% CI, 0.84-1.27). However,
CV mortality was significantly reduced in the aspirin group (RR=0.74; 95% CI, 0.58-0.95). Furthermore,
aspirin use did not increase the risk of major bleeding and renal events but significantly increased
minor bleeding events (RR=2.11; 95% CI, 1.30-3.44). Renal events were significantly increased after
sensitivity analysis (RR=1.10; 95% CI, 1.04-1.16).

Conclusion:
Aspirin did not prevent CV events, with a significantly increased risk of minor bleeding
and renal events. Besides, aspirin use had no statistically significant reduction in the risk of all-cause
mortality but had a statistically significant reduction in the risk of CV mortality.
1-Cyanoacetylthiosemicarbazides: Recent Advances in their Synthesis,
Reactivity in Heterocyclization, and Bio-Applications
Authors: Bondock Samir , Alabbad Nada , Hossan Aisha , Abdou Moaz M. 
Published: May 2023

Abstract:
The synthesis of 1-cyanoacetylthiosemicarbazides is at the apex attention of researchers
due to their multifaced reactivity as versatile precursors in the synthesis of mono-, bi-, and
fused_heterocyclic compounds as well as metal complexes. Despite this, no comprehensive survey
was, so far, dedicated to the synthesis, chemical transformation, and bioactivities of this relevant
family of synthetic organic precursors and their derivatives. The present survey aims to summarize
an up-to-date record of the preparation of 1-cyanoacetylthiosemicarbazides and their chemical
transformation. A particular focus is given to their metal complexes and bio-applications
Recent Progress for the Synthesis of Pyrrole Derivatives – An Update
Authors: Patel Dharti , Shah Drashti , Patel Krishi , Patel Ayush , Bambharoliya Tushar , Mahavar Anjali , Patel Ashish 
Published: June 2023

Abstract:
Pyrrole is a versatile heterocyclic moiety exhibiting a wide range of pharmacological actions
with high therapeutic value. The importance of pyrrole in the pharmaceutical field lies in its
versatility, selectivity, and biocompatibility, and these properties make it a valuable tool for drug design
and development. The pyrrole moiety is a fundamental building block for many biologically active
molecules and has gathered significant attention in the fields of medicinal and organic chemistry;
hence, its synthesis has been a crucial area for research. There are various conventional as well as
modern approaches to acquiring a series of pyrrole scaffolds, with a wide range of attractive features
and drawbacks pertaining to each approach. An extensive amount of literature must be studied to
compare the best synthetic routes. This article highlights the applications of pyrrole derivatives in
various fields, such as drug discovery, material science, and catalysis, and provides an overview of
modern synthetic pathways that include metals, nanomaterials, and complex heterogeneous catalysed
methods for pyrrole derivatives. Special emphasis is given to the use of green chemistry principles
like green solvent-based methods, microwave-aided methods, and solvent-free methods in the synthesis
of pyrroles, with the recent developments and prospects in the synthetic and organic chemistry
fields. Overall, this review article provides a comprehensive overview of the synthesis of pyrroles
and complies with all the possible developments in the synthetic routes for pyrroles within 2015–
2022. Among all, the reactions catalysed by proline, copper oxides, and oxones have been shown to
be the most effective synthetic route for pyrrole derivatives at mild reaction conditions and with excellent
yields. This information will be helpful for researchers interested in the development of new
pyrrole-based compounds. The categorization in this review provides an easy means for the reader to
rationally select the best possible synthetic method for pyrrole derivatives.
Electrical and Electromagnetic Stimulation of Living Organisms and the
Theory of a Cancer Formation Center
Authors: Bryzgalov Arkadiy 
Published: June 2023

Abstract:
Electrical conductivity plays a pivotal role in the life of organisms. Processes, such as neural
information transfer, which allows a living organism to receive information and respond to it within the
shortest time possible, are the basis of electrical conductivity. However, electrical conductivity is not
only responsible for transmitting information. It provides living organisms the capability to encode this
information, execute control processes and launch a complex system of reflex-related, behavioral and
mental processes. Electrical conductivity is responsible for the control over all the functional systems of
our body. An in-depth study of the electrical activity of the body will allow us to make an important
conclusion on the presence of a functional control system in malignant tumors. A deep understanding of
the basics of electrical stimulation and signal conduction will give us insights into the sphere of control
and synchronization system within our central processor (brain) and other functional systems that we
need for the proper functioning of human body; these systems are also capable of altering the natural
physiological functioning of the body.
Your Hormones and Your Life Patterns Are Like a “Lock” and a “Key”
Authors: Sattar Tabinda 
Published: June 2023

Abstract:
This opinion-based article discusses how our lifestyles regulate hormone levels in our
bodies and how hormones regulate our healthy life patterns. In fact, these two have such an important
aspect over each other that they are as important as a key is for a lock and vice versa.
Since these are equally important for each other, this opinion will help people understand the importance
of our lifestyles for our hormones and the necessity of balanced hormonal levels for our
healthy life patterns.
Macrocystis pyrifera: A Potential Source of Bioactive Compounds
Authors: Pérez-Alva Alexa , Ramírez-Rodrigues Melissa A. , Baigts-Allende Diana K. , Martínez-Jiménez Luz Andrea , Ramírez-Rodrigues Milena M. 
Published: June 2023

Background:
The Mexican brown seaweed Macrocystis pyrifera is currently
unexploited. While this seaweed harvested in other regions has been characterized, changes in the
composition can be observed, making it relevant to have a better understanding of the Mexican
variety.

Objective:
The objective of this study was to perform a characterization of the Mexican seaweed
M. pyrifera in terms of phenolic and carotenoid profiles, mineral content, antioxidant activity, and
chemical composition.

Methods:
Chemical composition, mineral content, total phenolic content (TPC), and antioxidant
activity (ORAC) were measured. Also, the phenolic compounds and carotenoids were quantified
using an HPLC coupled with a triple quadrupole mass spectrometer detector.

Results:
Carbohydrates (48.81 ± 0.05%) were the most abundant macronutrient, while lipids represented
only 0.23 ± 0.01 % of the total. From the analyzed minerals (Na, Ca, P, K, and Mg), K
was the most abundant with 15,545.23 ± 23.72 mg/100 g. To quantify the phenolic compounds,
TPC, and ORAC, two extracts were used (water, and methanol: water (90:10 v/v)), for the carotenoid
profile only the latter was used. The most abundant phenolic compound was phloroglucinol
(4.45 ± 0.21 μg/g). Ten carotenoids were identified, fucoxanthin the most abundant (1,124.93 ±
3.4 μg/g). Finally, while there was no significant difference (p > 0.05) in the TPC, with values
ranging between 16.07 and 17.01 mg GAE/ g, the methanol: water (90:10 (v/v)) extract presented
a significantly higher (p < 0.05) antioxidant activity.

Conclusion:
The characterization of this seaweed can help to determine its potential for several
applications.
Mapping the Nanotechnology Patent Landscape in the Field of Cancer
Authors: Sun Haoyu , Wu Tong , Liu Xinrui , Xia Huanzhang , Yuan Hongmei 
Published: June 2023

Background:
Currently, cancer is still a significant disease that seriously endangers human
health. Therefore, advanced diagnostic technology and treatment protocols are urgently needed. The
rapid development of nanotechnology is expected to provide new ideas for cancer diagnosis and treatment.

Objective:
The research aims to comprehensively demonstrate the hotspots of nanotechnology applications
in cancer.

Methods:
In this study, an International Patent Classification codes co-occurrence network is constructed
to visualize the technology landscape by simultaneously locating and ranking technologies that play
an integral role in nanotechnology diffusion and bridging in the field of cancer. In addition, community
identification and topic modeling highlight the latent topics in patent documents.

Results:
The visualization results of the patent network yield five main clusters: Cluster 0 is a nanoparticle
composition delivery system with liposomes as the primary carrier. Cluster 1 is mainly represented
by nano-immunotherapy with immune checkpoint inhibitors. Cluster 2 is nano phototherapy based on
photodynamic therapy and photothermal therapy. Cluster 3 is diagnostic imaging involving nanotechnology.
Cluster 4 is a drug delivery system with nanovesicles and albumin nanoparticles as carriers.

Conclusion:
It was found that carriers represented by liposomes, vesicles, and albumin nanoparticles
are essential nanomaterials in the current anticancer drug delivery systems. Integrating next-generation
immunosuppressants and nanotechnology will become an important development direction for future
immunotherapy. Organic/inorganic nanomaterials are pivotal in cancer imaging diagnosis and phototherapy.
Phytoestrogens in Menopausal Hot Flashes: A Review Article
Authors: Kargozar Rahele , Azizi Hoda , Yousefi Mahdi , Pourhoseini Seyedeh Azam , Naghedi-Baghdar Hamideh , Ghazanfari Seyed Majid , Salari Roshanak 
Published: May 2023

Background:
Menopause is a biopsychosocial phenomenon in a woman’s life, and it
occurs at about the age of 48-55 years. Factors such as smoking, the number of children, early puberty,
and social class can cause early natural menopause. Symptoms that occur during menopause
include headache, mood disorders, insomnia, distraction, hot flashes, vaginal dryness, and sweating.
The most common symptom is hot flashes, which affect 85% of women with menopause. Recently,
people are showing more tendencies toward alternative therapies and herbs phytoestrogens.
Objective: This review aims to introduce the mechanism of herbal phytoestrogens controlling hot
flashes during menopause.

Methods:
Our searches were performed in the databases of PubMed, Scopus, and Cochrane. English
clinical trials, that investigated the effects of phytoestrogen plants individually or in combination
on the treatment of hot flashes in menopause were analyzed. After reviewing articles and
meeting the inclusion and exclusion criteria, 18 articles were selected.

Results:
In this study, 18 clinical trials of 2351 female patients were analyzed. The phytoestrogen
plants studied include soy, red clover, cohosh, hops, flax, pomegranate, anise, and Vitex Agnus.

Conclusion:
Studies have shown the beneficial effects of phytoestrogens in controlling hot flashes,
but in some cases, including soybeans, there are contradictory effects. Therefore, more clinical trials
are needed to achieve reliable results to confirm the phytoestrogen effects of herbal medicines.
Does an Internet-Based Emotion Regulation Intervention Provide Added Value for Acute Psychiatric Inpatient Care? Protocol for a Randomized Controlled Pilot Trial
Authors: Bielinski Laura Luisa , Wälchli Gwendolyn , Nissen Christoph , Berger Thomas , Moggi Franz 
Published: May 2023

Background
There is a lack of studies on internet-based interventions in inpatient settings. This is especially true for studies of internet-based interventions in acute psychiatric inpatient care. Internet-based interventions in this specific setting may provide benefits such as patient empowerment and overall improved treatment outcomes. However, there may also be specific barriers to their implementation that are unique due to the complexity of acute psychiatric inpatient care.

Objective
The aim of this study is to examine the feasibility and preliminary evidence for effectiveness of a web-based emotion regulation intervention provided as an add-on to acute psychiatric inpatient care.

Methods
The goal is to randomly allocate 60 patients with a range of different diagnoses in a 1:1 ratio to either treatment as usual (TAU), which consists of acute psychiatric inpatient treatment, or to the intervention group, which will receive TAU plus access to a web-based intervention that focuses on reduction of emotion regulation difficulties and improvement of emotion regulation skills. The primary outcome is symptom severity, assessed with the short form of the Brief Symptom Inventory at baseline, after 4 weeks, after 8 weeks, and at hospital discharge. Secondary outcomes include 2 emotion regulation parameters, intervention use, usability, patient satisfaction, and reasons for patient loss to follow-up.

Results
Participant recruitment started in August 2021 and as of March 2023 was ongoing. First publication of study results is expected in 2024.

Conclusions
This study protocol describes a study that intends to examine a web-based emotion regulation intervention in acute psychiatric inpatient care. The study will provide information on the feasibility of the intervention and possible effects on symptom severity and emotion regulation. The results will provide new insights on blended treatment, in this case the combination of a web-based intervention and face-to-face psychiatric treatment, in an understudied patient group and setting.

Trial Registration
ClinicalTrials.gov NCT04990674; https://clinicaltrials.gov/ct2/show/NCT04990674

International Registered Report Identifier (IRRID)
DERR1-10.2196/47656
Teaching Predictive Audit Data Analytic Techniques: Time-Series Forecasting with Transactional and Exogenous Data
Authors: Yan Zhaokai , Appelbaum Deniz , Kogan Alexander , Vasarhelyi Miklos A. 
Published: May 2023

ABSTRACT
Audit data analytics is gaining increasing attention from both audit researchers and practitioners. To provide accounting students with firsthand experience utilizing data analytics, this teaching case showcases the implementation of data analytic techniques to transactional-level data from real-world business practice. Specifically, this case demonstrates the application of seasonal autoregressive integrated moving average (ARIMA) models, utilizing exogenous weather data, to predict daily sales amounts of a wholesale club retailer. The learning objective is to demonstrate this process and teach students to apply predictive data analytics through Python programming and incorporate and utilize exogenous data in sales prediction.
Indoor Climate Prediction Using Attention-Based Sequence-to-Sequence Neural Network
Authors: Eka Setiawan Karli , Elwirehardja Gregorius N. , Pardamean Bens 
Published: May 2023

The Solar Dryer Dome (SDD), a solar-powered agronomic facility for drying, retaining, and processing comestible commodities, needs smart systems for optimizing its energy consumption. Therefore, indoor condition variables such as temperature and relative humidity need to be forecasted so that actuators can be scheduled, as the largest energy usage originates from actuator activities such as heaters for increasing indoor temperature and dehumidifiers for maintaining optimal indoor humidity. To build such forecasting systems, prediction models based on deep learning for sequence-to-sequence cases were developed in this research, which may bring future benefits for assisting the SDDs and greenhouses in reducing energy consumption. This research experimented with the complex publicly available indoor climate dataset, the Room Climate dataset, which can be represented as environmental conditions inside an SDD. The main contribution of this research was the implementation of the Luong attention mechanism, which is commonly applied in Natural Language Processing (NLP) research, in time series prediction research by proposing two models with the Luong attention-based sequence-to-sequence (seq2seq) architecture with GRU and LSTM as encoder and decoder layers. The proposed models outperformed the adapted LSTM and GRU baseline models. The implementation of Luong attention had been proven capable of increasing the accuracy of the seq2seq LSTM model by reducing its test MAE by 0.00847 and RMSE by 0.00962 on average for predicting indoor temperature, as well as decreasing 0.068046 MAE and 0.095535 RMSE for predicting indoor humidity. The application of Luong's attention also improved the accuracy of the seq2seq GRU model by reducing the error by 0.01163 in MAE and 0.021996 in RMSE for indoor humidity. However, the implementation of Luong attention in seq2seq GRU for predicting indoor temperature showed inconsistent results by reducing approximately 0.003193 MAE and increasing roughly 0.01049 RMSE. Doi: 10.28991/CEJ-2023-09-05-06 Full Text: PDF
Pengaruh Motivasi dan Disiplin Kerja Terhadap Kinerja Karyawan
Authors: Farisi Salman , Irnawati Juli , Fahmi Muhammad 
Published: May 2023

To achieve company goals, human resource management which has the potential to affect the performance of employees which will ultimately affect the performance of the company. To be able to show the performance of the employees PT. Perkebunan Nusantara V (Persero) Kebun Tanah Putih at Riau Province, the company is required to uphold the motivation and work discipline of the employees. The purpose of this study was to determine and analyze the influence of motivation and work discipline on the performance of employees of PT. Perkebunan Nusantara V (Persero) Kebun Tanah Putih Provinsi Riau. The population in this study were all employees of PT. Perkebunan Nusantara V (Persero) Kebun Tanah Putih at Riau Province, amounting to 162 people. While the sample in this study was 62 employees distributed in each section. Data analysis techniques using multiple linear regression. The results showed that simultaneously motivation and work discipline variables had a positive and not significant effect on the performance of employees of PT. Perkebunan Nusantara V (Persero) Kebun Tanah Putih at Riau Province. Based on the partial test it is known that motivation has a positive and significant effect on the performance of employees of PT. Perkebunan Nusantara V (Persero) Kebun Tanah Putih Riau Province, while work discipline has a positive and not significant effect on the performance of the employees of PT. Perkebunan Nusantara V (Persero) Kebun Tanah Putih at Riau Province.
D-Shaped Photonic Crystal Fiber Toxic Metal Ions (Arsenic) Sensor Based on Surface Plasmon Resonance
Authors: Mohammed Jassam Ghufran , Salman Ahmed Soudad 
Published: June 2023

In this work, a Photonic Crystal Fiber (PCF) sensor based on the Surface Plasmon Resonance (SPR) technology was proposed. A thin layer of gold (Au) was deposited on a D-shaped Photonic Crystal Fiber (PCF), which was coated with plasmonic chemically stable gold material with a thickness of 40nm. The performance parameters like sensitivity including wavelength sensitivity and amplitude sensitivity and resolution were evaluated by simulation using COMSOL software. The proposed sensor was created by using the finite element approach, it is numerically examined. The results show that the surface of D-shaped Photonic Crystal Fiber coated with Au behaves as a sensor to detect the refractive index (IR) of toxic metal ions. The impacts of the structural characteristics on the resonant spectra are also researched in order to improve sensing performance. The greatest amplitude sensitivity was 99.2 RIU-1 and maximum resolution was 4 x 10-5 RIU achieved within the detection range (1.351-1.363).