bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review of calculation of conditional power, predictive power and probability of success in clinical trials with continuous, binary and time-to-event endpoints
Authors: Kundu Madan Gopal , Samanta Sandipan , Mondal Shoubhik 
Published: January 2023

Abstract
Assessment of study success using conditional power (CP), the predictive power of success
(PPoS) and probability of success (PoS) is becoming increasingly common for resource optimization
and adaption of trials in clinical investigation. Determination of these measures is often
a non-trivial mathematical task. Further, the terminologies used across the literature are not
consistent, and there is no consolidated presentation on this. We have made a structured presentation
on these measures for both trial success and clinical success: first, we have summarized
the expressions of CP, PPoS and PoS in a general setting and subsequently, expressions for these
measures are obtained for continuous, binary, and time-to-event endpoints in single-arm and twoarm
trial settings. Many of these expressions are previously published; however, some of the
expressions are very new including the expressions for testing median of time-to-event endpoint
in a single-arm trial. We have also shown that 1/(no. of events) consistently underestimates the
variance of log(median) and alternative expression for variance was derived. Examples are given
along with the comparison of CP and PPoS. Expressions presented in this paper are implemented
in LongCART package in R and in R shiny app https://ppos.shinyapps.io/public/.
Knowledge management (KM) as a viable solution to public service delivery challenges
Authors: Barbier Lance , Tengeh Robertson K. 
Published: January 2023

The object of research: The study revolves around KM and service delivery. It ascertains whether KM is a plausible solution to public service delivery challenges. Although the paper is aimed at governments worldwide, it is focusing on South Africa.
Investigated problem: While the public service in South Africa has been significantly transformed since apartheid's end in 1994, the government is now under enormous pressure to deliver and save the public service from further collapse. Recent years have seen an increase in service delivery demonstrations and marches. Many believe the public service delivery mechanisms introduced to circumvent public service delivery challenges have been ineffective.
The main scientific results: Despite knowing what must be done, officials have trouble putting their plans, strategies, and policies into action. This is even though service delivery mechanisms were implemented to help them improve service delivery. In fact, only half of the respondents (50.7 %, n=33) were aware of service delivery mechanisms, though 95.4 % (n=62) concurred that KM is a viable solution to improve service delivery.
Area of practical use of the research results: Very little research has been conducted on KM as a potential solution to South Africa's service delivery problems. As a result, this research provides new insights into improving public sector service delivery using KM. Overall, the findings will benefit KM and Public Administration practitioners.
Combined analysis of acoustic emission and vibration signals in monitoring tool wear, surface quality and chip formation when turning SCM440 steel using MQL
Authors: Hoang Dung Tien , Thien Nguyen Van , Pham Thoa Thi Thieu , Nguyen Trinh Duy 
Published: January 2023

With modern production, Minimum Quantity Lubricant (MQL) technology has emerged as an alternative to conventional liquid cooling. The MQLs is an environmentally friendly lubricant method with low cost while meeting the requirements of machining conditions. In this study, the experimental and analytical results show that the obtained acoustic emission (AE) and vibration signal components can effectively monitor various circumstances in the SCM440 steel turning process with MQL, such as surface quality and chip formation as cutting tool conditions. The AE signals showed a significant response to the tool wear processes. In contrast, the vibration signal showed an excellent ability to reflect the surface roughness during turning with MQL. The chip formation process through the cutting mode parameters (cutting speed, feed and depth of cut) was detected through analysis amplitude of the vibration components Ax, Ay and Az and the AE signal. Finally, Gaussian process regression and adaptive neuro-fuzzy inference systems (GPR-ANFIS) algorithms were combined to predict the surface quality and tool wear parameters of the MQL turning process. Tool condition monitoring devices assist the operator in monitoring tool wear and surface quality limits, stopping the machine in case of imminent tool breakage or lower surface quality. With the unique combination of AE and vibration analysis model and the training and testing samples established by the experimental data, the corresponding average prediction accuracy is 97.57 %. The highest prediction error is not more than 3.8 %, with a confidence percentage of 98 %. The proposed model can be used in industry to predict surface roughness and wear of the tools directly during turning
Geotechnical and thermal analysis and complex impedance spectroscopy characterization of pure Moroccan bentonite material for civil engineering applications
Authors: Essaleh Mohamed , Bouferra Rachid , Kadiri Imad , Belhouideg Soufiane , Mansori Mohammed , Bouchehma Abdeltif , Oubani Mohamed , Benjelloun Mohamed 
Published: January 2023

Combined modulus and impedance spectra are employed in the present work to explore electrical inhomogeneity and carriers’ behaviors in a pure bentonite Moroccan clay based on equivalent circuit. It has been clearly observed that the electrical properties change due to the increase of temperature from 300 °C to 700 °C. The frequency-dependent imaginary modulus M" and imaginary impedance Z" curves has only one peak at each temperature indicating the predominance of the contribution of grains to the total electrical conduction in bentonite. The positions of these peaks move to higher frequencies when the temperature increases in relation with the distribution of relaxation time. Moreover, the activation energy for the conduction process in bentonite is determined from the slope of ln(ρdc) versus of 1/T in the order of 700 meV in good agreement with that obtained from the proposed equivalent circuit. On the other hand, let’s present a geotechnical study that show that our material is a swelling clay, very plastic and could be used as a binder. The external stress dependence of the bulk density, Young’s module and maximum stress are analysed. The thermal conductivity determined following the device of Lee's disks where two copper disks of thickness of 15 mm and diameter of 30 mm were used
Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard
Authors: Lindenschmidt Karl-Erich 
Published: January 2023

Abstract
In the spring of 2020, the town of Fort McMurray, which lies on the banks of the Athabasca River, experienced an ice-jam flood event that was the most severe in approximately 60 years. In order to capture the severity of the event, a stochastic modelling approach, previously developed by the author for ice-jam flood forecasting, has been refined for ice-jam flood hazard and risk assessments and ice-jam mitigation feasibility studies, which is the subject of this paper. Scenarios of artificial breakage demonstrate the applicability of the revised modelling framework.
Predicting time-series for water demand in the big data environment using statistical methods, machine learning and the novel analog methodology dynamic time scan forecasting
Authors: Groppo Gustavo de Souza , Costa Marcelo Azevedo , Libânio Marcelo 
Published: January 2023

AbstractThe specialized literature on water demand forecasting indicates that successful predicting models are based on soft computing approaches such as neural networks, fuzzy systems, evolutionary computing, support vector machines and hybrid models. However, soft computing models are extremely sensitive to sample size, with limitations for modeling extensive time-series. As an alternative, this work proposes the use of the dynamic time scan forecasting (DTSF) method to predict time-series for water demand in urban supply systems. Such a model scans a time-series looking for patterns similar to the values observed most recently. The values that precede the selected patterns are used to create the prediction using similarity functions. Compared with soft computing approaches, the DTSF method has very low computational complexity and is indicated for large time-series. Results presented here demonstrate that the proposed method provides similar or improved forecast values, compared with soft computing and statistical methods, but with lower computational cost. Thus, its use for online water demand forecasts is favored.
YF343, A Novel Histone Deacetylase Inhibitor, Combined with CQ
to Inhibit- Autophagy, Contributes to Increased Apoptosis in Triple-
Negative Breast Cancer
Authors: Liu Na , Luo Tingting , Zhang Jing , Han Li-na , Duan Wen-qi , Lu Wen-xia , Qiu Huiran , Lin Yan , Wu Yong-mei , Zhang Hua , Yang Fei-fei , Ge Di 
Published: January 2023

Background:
Compounds that target tumor epigenetic events are likely to constitute
a prominent strategy for anticancer treatment. Histone deacetylase inhibitors (HDACis)
have been developed as prospective candidates in anticancer drug development,
and currently, many of them are under clinical investigation. We assessed the anticancer
efficacy of a now hydroxamate-based HDACi, YF-343, in triple-negative breast cancer
development and studied its potential mechanisms.

Methods:
YF-343 was estimated as a novel HDACi by the HDACi drug screening kit.
The biological effects of YF-343 in a panel of breast cancer cell lines were analyzed by
Western blot and flow cytometry. YF-343 exhibited notable cytotoxicity, promoted apoptosis,
and induced cell cycle arrest. Furthermore, it also induced autophagy, which plays
a pro-survival role in breast cancer cells.

Results:
The combination of YF-343 with an autophagy inhibitor chloroquine (CQ) significantly
suppressed breast tumor progression as compared to the YF-343 treatment alone
both in vitro and in vivo. Mechanistically, the molecular mechanism of YF-343 on autophagy
was elucidated by gene chip expression profiles, qPCR analysis, luciferase reporter
gene assay, chromatin immunoprecipitation assays, immunohistochemical analysis,
and other methods. E2F7, a transcription factor, promoted the expression of ATG2A
via binding to the ATG2A promoter region and then induced autophagy in triple-negative
breast cancer cells treated with YF-343.

Conclusion:
Our studies have illustrated the mechanisms for potential action of YF-343
on tumor growth in breast cancer models with pro-survival autophagy. The combination
therapy of YF-343 and CQ maybe a promising strategy for breast cancer therapy.
NLS-3 (Levophacetoperane or (R,R) Phacetoperane): A Reverse Ester
of Methylphenidate: A Literature Review
Authors: Konofal Eric , Lecendreux Michel , Bizot Jean-Charles , Lormier Anh-Tuan , Figadère Bruno 
Published: January 2023

Abstract:
Background: NLS-3 or (R, R) enantiomer of phacetoperane (levophacetoperane)
is the reverse ester of methylphenidate, a well-documented psychostimulant marketed
for the treatment of attention-deficit/hyperactivity disorder (ADHD) since the end of
1950s. Launched in Canada and Europe by Specia Rhône-Poulenc and Rhodia, marketed
as Lidepran® (8228 R.P.), for the treatment of obesity and depression, phacetoperane became
an increasingly popular psychiatric medication from 1959 to 1967. Previous data
supported that the stimulant effect of phacetoperane differed from those of other medications
acting on the catecholamine system (e.g., methylphenidate, amphetamine), with an
advantage of benefit/risk balance. Method: The goal of this study is to characterize the
binding profile of NLS-3 using in vitro and in vivo assays and hypothesize potential therapeutic
uses considering all available data. Results: A complete binding profile assay confirmed
the potential benefit of phacetoperane with a higher benefit/risk compared to
other stimulants. NLS-3 synthesis resulted from phenylketone, which is also used for the
synthesis of methylphenidate. It differs from that used by Rhône-Poulenc SA laboratories,
allowing the possibility of individualizing several enantiomers not synthesized previously.
The present review also confirmed extensive clinical use of the compound in almost
one thousand children and adolescents in large dose ranges with fewer side effects
versus comparative treatments. Furthermore, levophacetoperane was found to be generally
well-tolerated by the subjects. Conclusion: NLS-3 could be a safer and more potent alternative
to stimulants for patients with ADHD.
Pyrrolidine Dithiocarbamate Enhances the Cytotoxic Effect of Arsenic
Trioxide on Acute Promyelocytic Leukemia Cells
Authors: Yu Simin , Ge Zhuowang , Chen Weixiang , Han Jinbin 
Published: January 2023

Background:
More than 95% patients with acute promyelocytic leukemia (APL) carry
the PML-RARα fusion oncoprotein. Arsenic trioxide (ATO) is an efficacious therapeutic agent for
APL, and the mechanism involves the binding with PML and degradation of PML-RARα protein.
Pyrrolidine dithiocarbamate (PDTC) demonstrates the function of facilitating the cytotoxic effect
of ATO.

Purpose:
To investigate whether PDTC is potential to enhance the cytotoxic effect of ATO to APL
cells by acting on PML-RARα oncoproteins.

Methods:
Inhibitory effects of drugs on cell viability were examined by CCK-8 test, and apoptosis
was evaluated by flow cytometry. Western blotting and immunofluorescence assays were used to
explore the mechanism

Results:
PDTC improved the effect of ATO on inhibiting proliferation of NB4 cells in vitro. Further,
PDTC-ATO promoted apoptosis and cell cycle arrest in NB4 cells. The expression of caspase-
3 and Bcl-2 was reduced in PDTC-ATO-treated NB4 cells, while cleaved caspase-3 and Bax
was up-regulated. Furthermore, less PML-RARα expression were found in PDTC-ATO-treated
NB4 cells than that in NB4 cells treated with ATO singly. Laser confocal microscopy showed that
protein colocalization of PML and RARα was disrupted more significantly by PDTC-ATO treatment
than that with ATO monotherapy.

Conclusions:
In conclusion, PDTC enhanced the cytotoxic effect of ATO on APL, and the mechanism
was, at least in part, related to the promotion of ATO-induced degradation of PML-RARα fusion
protein via forming a complex PDTC-ATO.
Electrochemical Biosensors for Monitoring of Drug-DNA Interactions
Authors: Congur Gulsah 
Published: January 2023

Abstract:
The binding of the therapeutic agents to the nucleic acids is one of the paramount issues in the drug development area that is studied by various techniques. Electrochemical studies have a big portion in this area due to the fact that they allow designing of novel monitoring systems that have superior properties such as being feasible and sustainable. These electrochemical monitoring tools analyze these interactions in in vitro conditions and give the results precisely and rapidly. In the scope of this manuscript, the electrochemical monitoring platforms developed for the determination of DNA-drug interactions were under the spotlight. The electrode types mostly used for the electrochemical monitoring of drug-DNA interactions were described. The binding mechanisms of the drugs to the DNA structure were explained, and the evaluation strategies of the interactions using electrochemical techniques were stated. Most of the reports of the last 25 years were given, and some of the electrochemical biosensor applications including both voltammetric and impedimetric studies were explained in detail. Furthermore, it is possible to reach nanomaterials/biomaterials-based biosensor platforms for the monitoring of DNA-drug interactions, and these applications were in the scope of this manuscript. The future aspects of these areas were also stated.
Risk Assessment of Esophageal Cancer Prevalence in North East India
Authors: Padma V. Vijaya , Saikia Surovi , Prajapati Bhupendra , Bhattacharya Sankha 
Published: January 2023

Background:
The North East (NE) India region has a quite distinct gene pool with over
160 scheduled tribes and 400 other sub-tribal populations. This region is the fourth contributor to the
gene pool of the Indian sub-continent, which has associations with Tibeto-Burman speakers and
Austro-Asiatic speakers settled in East and NE-India with Asian ties.

Methods:
Literature search and studies have shown that in India, notwithstanding the lack of data on
population coverage, there exists no such evidence for a decline in age-standardized mortality rates
in cancer and the number of deaths mostly in individuals less than 70 years.

Results:
Analytical epidemiological studies using molecular markers are currently the need of NEIndia
for prognostication of cancers in this region, which are quite different from the rest of India,
such as esophageal cancer, lung cancer in females, stomach cancer, and nasopharyngeal cancers. In
addition, there is a dire need for translational research in NE-India, as for cancer survival, it is not
always feasible to generalize the current international guidelines for cancer to the population of NEIndia
so that high survival rates are achieved just like the rest of India and high-income rich countries.
Factors, such as difference in incidence rate, socioeconomic factors, tumor biology and availability
of resource in this region, determine the survival rates.

Conclusion:
In this review, various factors involved in the high cancer burden in this region are discussed,
particularly focusing on the genetic basis.
Cosmetics Use and Mammographic Breast Density (MBD) in Iranian
Women: A Cross-Sectional Study
Authors: Eslami Bita , Alipour Sadaf , Omranipour Ramesh , Aryan Arvin , Bayani Leila , Abedi Mahboubeh 
Published: January 2023

Background:
Since breast cancer is increasing worldwide and previous risk factors cannot
justify such an increasing trend, investigating new environmental factors is necessary for each population.
Mammographic breast density (MBD) is a strong risk factor for breast cancer as well as a biomarker
for the effect of chemicals on breast tissue.

Objective:
Given limited data about the association between breast density and cosmetic products containing
endocrine-disrupting chemicals (EDCs), the purpose of this study was to evaluate the effects of
cosmetic products on MBD in Iranian women.

Methods:
In this cross-sectional study, women who attended two university hospitals for breast
screening mammography and who had been living in the capital city of Iran for the last 3 years or
more were recruited. We asked women to fill out a questionnaire containing two parts; the first part
was about the women's characteristics and medical history and the second part consisted of cosmetic
use. The frequency of cosmetic use was measured using the Likert scale in four scales. One expert radiologist
in each center reported the MBD on a four-category scale.

Results:
The mean age of 813 participants was 50.16 ± 7.65. Three hundred-seven (37.8%) women
had low breast density and 506 (62.2%) had high breast density. Based on our results, heavy use of
moisturizers, sunscreen, nail polish, eye products, makeup products, and lipstick was associated with
increased breast density. In multivariable analysis after adjusting for menopause, excessive use of nail
polish, sunscreen, and moisturizing cream was associated with increased MBD.

Conclusion:
Our study shows a probability of an increased MBD with the excessive use of cosmetic
products. Since a small increase in the risk of breast cancer may lead to a considerable public health
impact, thus further studies are needed to find new prevention strategies.
Research on Segmentation Technology in Lung Cancer Radiotherapy
Based on Deep Learning
Authors: Huang Jun , Liu Tao , Qian Beibei , Chen Zhibo , Wang Ya 
Published: January 2023

Background:
Lung cancer has the highest mortality rate among cancers. Radiation therapy
(RT) is one of the most effective therapies for lung cancer. The correct segmentation of lung tumors
(LTs) and organs at risk (OARs) is the cornerstone of successful RT.

Methods:
We searched four databases for relevant material published in the last 10 years: Web of Science,
PubMed, Science Direct, and Google Scholar. The advancement of deep learning-based segmentation
technology for lung cancer radiotherapy (DSLC) research was examined from the perspectives
of LTs and OARs.

Results:
In this paper, Most of the dice similarity coefficient (DSC) values of LT segmentation in the
surveyed literature were above 0.7, whereas the DSC indicators of OAR segmentation were all over
0.8.

Conclusion:
The contribution of this review is to summarize DSLC research methods and the issues
that DSLC faces are discussed, as well as possible viable solutions. The purpose of this review is to
encourage collaboration among experts in lung cancer radiotherapy and DL and to promote more research
into the use of DL in lung cancer radiotherapy.
Mechanisms of Cancer-killing by Quercetin; A Review on Cell Death Mechanisms
Authors: Wang Hehua , Dong Ziyu , Liu Jinhai , Zhu Zhaoyu , Najafi Masoud 
Published: January 2023

Abstract:
Cancer drug resistance has always been a serious issue regarding cancer research and therapy. Different
cancers undergo different mutations, which may cause suppression of tumor suppressor genes, inhibition of apoptosis,
stimulation of drug resistance mediators, and exhaustion of the immune system. The modulation of pro-death and
survival-related mediators is an intriguing strategy for cancer therapy. Several nature-derived molecules, e.g., quercetin,
have shown interesting properties against cancer through the modulation of apoptosis and autophagy mediators.
Such molecules, e.g., quercetin, have been shown to stimulate apoptosis and other types of cell death pathways in
cancers via the modulation of ROS metabolism. Quercetin may affect immune system function and trigger the expression
and activity of tumor suppressor genes. Furthermore, it may suppress certain multidrug resistance mechanisms in
cancer cells. This paper aims to review the effects of quercetin on various cell death mechanisms such as apoptosis,
autophagic cell death, senescence, ferroptosis, and others.