bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fine-grained fault recognition method for shaft orbit of rotary machine based on convolutional neural network
Authors: Wu Bo , Feng Songlin , Sun Guodong , Xu Liang , Ai Chenghan 
Published: December 2019

In the fault diagnosis of the shaft orbit of rotating machinery, there are few prejudgments about the severity of the faults, which is very important for fault repair. Therefore, a fine-grained recognition method is proposed to detect different severity faults by shaft orbit. Since different shaft orbits represent different type and different severity of faults, the convolutional neural network (CNN) is applied for identifying the shaft orbits to recognize the type and severity of the fault. The recognition rate of proposed fine-grained fault identification method is 97.96 % on the simulated shaft orbit database, and it takes only 0.31 milliseconds for the recognition of single sample. Experimental result indicated that the classification performance of the proposed method are better than the traditional machine learning models. Moreover, the method is applied for the identification of the measured shaft orbits of rotor with different degree of imbalance faults, and the testing accuracy of the experiments in measured shaft orbits is 97.14 %, which has verified the effectiveness of the proposed fine-grained fault recognition method.
Research on vertical vibration of hot rolling mill under screw-down-strip combined excitation
Authors: Xiao Biao , Yan Xiaoqiang 
Published: December 2019

In this paper, we find the violent vibration of the hot rolling mill is induced by the combination of the screw-down system and the strip, explain how the srew-down-strip combined excitation effects the rolling mill, and introduce an effective method to restrain the vibration. First, two experiments, stripless rolling and turning off the screw-down system, are conducted, the first experiment simulates the rolling process without strip and the second experiment simulates the rolling process without the screw-down system, the results indicate that the rolling mill vibration is induced by the srew-down-strip combined excitation. Then, to explain this phenomenon, the mathematical model of the rolling mill under screw-down-strip combined excitation is proposed, we find that few excitation frequency components can induce more response frequency components, therefore it’s more possible to approach the natural frequency of the rolling mill. Finally, a vibration suppression method is introduced by eliminating some specified frequency components of the screw-down system with a filter, and the result shows that the vibration decreased by 98.7 %.
Pumping optimization of coastal aquifers using probabilistic search – case study: Quaternary aquifer of El-Arish Rafah, Egypt
Authors: El-Ghandour Hamdy A. , Elbeltagi Emad 
Published: December 2019

Abstract
The increased pumping of freshwater from coastal aquifers, to meet growing demands, causes an environmental problem called saltwater intrusion. Consequently, proper management schemes are necessary to tackle such a situation and permit the optimal development of coastal groundwater basins. In this research, a probabilistic search algorithm, namely Probabilistic Global Search Lausanne (PGSL), is used to calculate optimal pumping rates of unconfined coastal aquifer. The results of using PGSL are compared with a stochastic search optimization technique, Shuffled Frog Leaping Algorithm (SFLA). The finite element method is applied to simulate the hydraulic response of the steady state homogenous aquifer. The lower and upper (LU) decomposition method is adapted to invert the conductance matrix, which noticeably decreases the computation time. The results of both the PGSL and the SFLA are verified through the application on the aquifer system underlying the City of Miami Beach in the north of Spain. Multiple independent optimization runs are carried out to provide more insightful comparison outcomes. Consequently, a statistical analysis is performed to assess the performance of each algorithm. The two optimization algorithms are then applied on the Quaternary aquifer of El-Arish Rafah area, Egypt. The results show that both algorithms can effectively be used to obtain nearly global solutions compared with other previous published results.
Exploring the water quality driving mechanism in Poyang Lake, the largest freshwater lake in China
Authors: Wang Hua , Kaisam John Paul , Fang Shaowen , Deng Yanqing , Li Bao , Shen Yuhan 
Published: December 2019

Abstract
Poyang Lake, the largest freshwater lake and typical river-connected lake in China, was selected as a research area. A method was first proposed to quantitatively explore the mechanisms driving water quality evolution, in which the weights of horizontal boundary input, self-purification, vertical atmospheric deposition and sediment release could be determined. A two-dimensional water environment model for Poyang Lake was developed in the framework of the Finite Volume Method and calibrated against the field investigated data. Four typical months in a common-water year were determined for numerical experiments to investigate the temporal and spatial water quality driving mechanisms in Poyang Lake. The results suggested that boundary input and self-purification have the greatest effect on dominating the water quality in Poyang Lake, followed by atmospheric deposition and sediment release. The driving weights of these four factors are 57.2%, 26.5%, 9.3%, and 7.0%, respectively. However, the impact on lake water quality of external water quality, aquatic ecosystem structure, precipitation distribution, and meteorological conditions, which are attributed to the disparities in geographical situation, varied significantly with seasons and locations.
A PotentIn Vitroα-Amylase Inhibitory Action ofHaplophyllum tuberculatumExtracts
Authors: Chaoua Housseyn , Khacheba Ihcen , Boussoussa Hadjer , Bekhaoua Abir , Yousfi Mohamed 
Published: December 2019

Background:Natural plant active compounds were found to inhibit the activity of several enzymes that may be related to several diseases.Objective:This study aimed at testing the antidiabetic activity related to the phenol content by in vitro α-Amylase inhibitory action effect of aqueous, organic and essential oil extracts of Haplophyllum tuberculatum, collected in the town of Laghouat in the steppe region of Algeria.Methods:Two types of aqueous extracts were prepared: Decoction and Diffusion extracts. The organic extracts were prepared with successful maceration in hexane, dichloromethane, ethyl acetate, ethanol and methanol. Also, essential oils were obtained by hydrodistillation. The analysis of the total Phenol content of our extracts was done with Folin-Ciocalteu reagent, as the flavonoid content was obtained in mixture with aluminum trichloride. The effects of the plant extracts on the catalytic efficiency of α-amylase enzyme were represented by the enzymatic inhibitory percentage of each extract in which the inhibitory activity was expressed as IC50.Results:The total phenol content showed values ranging between 0.27 and 11.97 mg gallic acid equivalent / g dry matter. The flavonoid contents vary from 0.05 to 1.50 mg equivalent of rutin /g of dry matter. All the extracts showed good inhibitory activity against α- amylase of IC50, values ranged from 0.05 to 50.03 mg/ml.Conclusion :This study reports for the first time the inhibitory capacity of Algerian Haplophyllum tuberculatum species against α-amylase which could provide natural biologically active agents to be used in the management of diabetes.
A New Class of Coumate Benzimidazole Hybrids as BRCA 1 Mimetics Through Unconventional Binding Mode; Synthesis and Preliminary Cytotoxicity Screening
Authors: Jubie Selvaraj , Sundar Shyam , Yadav Neetu , Naresh Podila , Wadhwani Ashish , Natarajan Jawahar 
Published: December 2019

Background:
It was found that breast cancer susceptibility protein 1 (BRCA 1) binds to
estrogen receptor alpha (ERα) and inhibits its activity by direct interaction between domains within
the amino terminus of BRCA 1 and the carboxy terminus of ER alpha.

Objective:
The present work focuses to identify a new class of BRCA 1 mimetics that work differently
from conventional anti-estrogens.

Methods::
A novel class of hybrids having coumate and benzimidazolone scaffolds were designed
to mimic BRCA 1 protein, suppressing the tumor activity of breast cancer cells. In silico molecular
docking studies of the designed ligands were performed on BRCA 1 binding cavity of ER alpha.

Result:
The designed hybrids which gave significant docking scores and had optimum binding
interactions with key residues were selected for synthesis and in vitro assay.

Conclusion:
: The compounds NY1 and NY2 exhibited significant effects on suppressing MDAMB-
231 cells in the concentration of 24 μg/ml and 44 μg/ml, respectively.
Identification of Novel Cyclin A2 Binding Site and Nanomolar Inhibitors of Cyclin A2-CDK2 Complex
Authors: Kim Stephanie S. , Alves Michele J. , Gygli Patrick , Otero Jose , Lindert Steffen 
Published: December 2019

Background:
Given the diverse roles of cyclin A2 both in cell cycle regulation and in
DNA damage response, identifying small molecule regulators of cyclin A2 activity carries significant
potential to regulate diverse cellular processes in both ageing/neurodegeneration and in cancer.

Objective:
Based on cyclin A2’s recently discovered role in DNA repair, we hypothesized that
small molecule inhibitors that were predicted to bind to both cyclin A2 and CDK2 will be useful
as a radiosensitizer of cancer cells. In this study, we used structure-based drug discovery to find
inhibitors that target both cyclin A2 and CDK2.

Method:
Molecular dynamics simulations were used to generate diverse binding pocket conformations
for application of the relaxed complex scheme. We then used structure-based virtual
screening to find potential dual cyclin A2 and CDK2 inhibitors. Based on a consensus score of
docked poses from Glide and AutoDock Vina, we identified about 40 promising hit compounds,
where all PAINS scaffolds were removed from consideration. A biochemical luminescence assay
of cyclin A2-CDK2 function was used for experimental verification.

Result:
Four lead inhibitors of cyclin A2-CDK2 complex have been identified using a relaxed complex
scheme virtual screen have been verified in a biochemical luminescence assay of cyclin A2-
CDK2 function. Two of the four lead inhibitors had inhibitory concentrations in the nanomolar range.

Conclusion:
The four cyclin A2-CDK2 complex inhibitors are the first reported inhibitors that
were specifically designed not to target the cyclin A2-CDK2 protein-protein interface. Overall, our
results highlight the potential of combined advanced computational tools and biochemical verification
to discover novel binding scaffolds.
Development and Validation of a Liquid Chromatographic Method for Aroylhydrazones at Hydrolytic Conditions
Authors: Maslarska Vania , Bozhanov Stanislav , Ivanova Stefka , Angelova Violina T. 
Published: December 2019

Background:
The indole-containing aroylhydrazone derivatives 3a-c with potent antimycobacterial
activity against a referent strain M. tuberculosis H37Rv and low cytotoxicity were evaluated
for their stability via the precise and accurate HPLC analytical method in aqueous media of different
pH (2.0, 7.0, 9.0 and 12.0).

Objective:
The study describes the development and validation of a simple and reliable HPLC-UV procedure
for the determination of aroylhydrazone derivatives and their hydrolytic stability. Additionally,
to recognize if hydrolysis leads to generating undesired products, the degradation processes were identified.

Method:
The separation was achieved with a LiChrosorb®RP-18 (250 x 4.6 mm) column, at ambient
temperature with isocratic mode with mobile phase containing mixture of component A (acetonitrile)
and component B (0.001M NaH2PO4, with 5 mM 1-heptane sulfonic acid sodium salt, adjusted to pH
3.0) in a ratio 60:40 (v/v). The flow rate was 1.0 ml/min and the eluent was monitored at 297 nm. The
proposed method was validated as per ICH guidelines.

Result:
The obtained results showed that the compounds were sensitive to hydrolytic decomposition in
aqueous media, resulting in the splitting of the hydrazone bond. Rapid hydrolysis of substances was
observed in the acid medium. The elevated temperature significantly accelerated the hydrolytic reaction.
Relatively slow hydrolysis of 3a-c was observed in a neutral solution and aqueous solutions buffered
to pH 9. The hydrolysis of 3a-c in neutral, alkaline and strong alkaline medium followed the pseudo-
first-order reaction rate and showed a linear dependence of lnC versus time.

Conclusion:
A validated high-performance liquid chromatographic assay for the determination of the
hydrolytic stability of a series of aroylhydrazones was developed and optimized for the first time. The
methods devised are successfully applicable to the development of pharmaceutical formulations.
Ligand Based Pharmacophore Modeling Followed by Biological Screening Lead to Discovery of Novel PDK1 Inhibitors as Anticancer Agents
Authors: Mansi Iman , Al-Sha'er Mahmoud A. , Mhaidat Nizar , Taha Mutasem 
Published: December 2019

Background:
Phosphoinositide-Dependent Kinase-1 (PDK1) is a serine/threonine kinase, which
belongs to AGC kinase family required by cancer cells.

Methods:
harmacophoric space of 86 PDK1 inhibitors using six diverse sets of inhibitors was explored to
identify high-quality pharmacophores. The best combination of pharmacophoric models and physicochemical
descriptors was selected by genetic algorithm-based QSAR analysis that can elucidate the variation of bioactivity
within the training inhibitors. Two successful orthogonal pharmacophores emerged in the optimum QSAR
equation (r2
69 = 0.90, r2
LOO= 0.86, F= 51.92, r2
PRESS against 17 test inhibitors = 0.79). Receiver Operating Characteristic
(ROC) curve analyses were used to estimate the QSAR-selected pharmacophores.

Results:
5 out of 11 compounds tested had shown potential intracellular PDK1 inhibition with the highest inhibition
percent for compounds 92 and 93 as follows; 90 and 92% PDK1 inhibition, respectively.

Conclusion:
PDK1 inhibitors are potential anticancer agents that can be discovered by combination method of
ligand based design with QSAR and ROC analysis.
ICMA: An Efficient Integrated Congestion Control Approach
Authors: Khan Tayyab , Singh Karan , Purohit Kamlesh C. 
Published: December 2019

Background:
With the growing popularity of various group communication applications,
such as file transfer, multimedia events, distance learning, email distribution, multiparty video conferencing,
and teleconferencing, multicasting seems to be a useful tool for efficient multipoint data
distribution. An efficient communication technique depends on various parameters like processing
speed, buffer storage, and amount of data flow between the nodes. If data exceeds beyond the capacity
of a link or node, then it introduces congestion in the network. A series of multicast congestion
control algorithms have been developed, but due to the heterogeneous network environment, these
approaches do not respond nor reduce congestion quickly whenever network behavior changes.

Objective:
Multicasting is a robust and efficient one-to-many (1: M) group transmission (communication)
technique to reduced communication cost, bandwidth consumption, processing time, and
delays with similar reliability (dependability) as of regular unicast. This patent presents a novel and
comprehensive congestion control method known as an integrated multicast congestion control approach
(ICMA) to reduce packet loss.

Methods:
The proposed mechanism is based on a leave-join flow control mechanism along with a
Proportional Integrated and Derivate (PID) controller to reduce packet loss, depending on the congestion
status. In the proposed approach, the Proportional integrated and derivate controller computes
expected incoming rate at each router and feedback this rate to upstream routers of the multicast
network to stabilize their local buffer occupancy.

Results:
Simulation results using NS-2 exhibit the immense performance of the proposed approach
in terms of delay, throughput, bandwidth utilization, and packet loss than other existing methods.

Conclusion:
The proposed congestion control scheme provides better bandwidth utilization and
throughput than other existing approaches. Moreover, we have discussed existing congestion control
schemes with their research gaps. In the future, we are planning to explore the fairness and quality
of service issues in multicast communication.
reinvenção da imagem pública de duas prefeitas candidatas
Authors: Alves Mércia , Martins Joyce Miranda Leão 
Published: December 2019

Este artigo tem como objetivo refletir sobre a mobilização da condição de gênero na produção da imagem de duas candidatas: Luizianne Lins (PT) e Marta Suplicy (MDB), em Fortaleza (ano de 2008) e em São Paulo (ano de 2016). Partindo do pressuposto de que o HGPE pode servir tanto para a legitimação de discursos políticos dominantes quanto para sua contestação, indaga-se: Quais os usos da condição feminina que as candidatas apresentaram em suas campanhas? Houve espaço para o questionamento de estereótipos relacionados ao gênero? O corpus da análise é o HGPE das candidatas. A procura dessas respostas foi buscada através do método da análise do discurso. Observar as imagens das candidatas, durante o HGPE, evidenciou a evocação de lugares de falas tradicionalmente relacionados ao feminino e a mobilização de estereótipos. Campanhas em distintos períodos e em diferentes cidades, reforçaram o lugar de fala da mãe, buscando o protagonismo da mulher nos espaços de poder ao mesmo tempo em que colaboraram para a promoção de seu ingresso subordinado na política: a mulher só pode sair de casa por outrem, se for por um amor maior, para emprestar seu cuidado e sensibilidade à sociedade.
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
Authors: Sendak Mark P , Ratliff William , Sarro Dina , Alderton Elizabeth , Futoma Joseph , Gao Michael , Nichols Marshall , Revoir Mike , Yashar Faraz , Miller Corinne , Kester Kelly , Sandhu Sahil , Corey Kristin , Brajer Nathan , Tan Christelle , Lin Anthony , Brown Tres , Engelbosch Susan , Anstrom Kevin , Elish Madeleine Clare , Heller Katherine , Donohoe Rebecca , Theiling Jason , Poon Eric , Balu Suresh , Bedoya Armando , O'Brien Cara 
Published: December 2019

Background
Successful integrations of machine learning into routine clinical care are exceedingly rare, and barriers to its adoption are poorly characterized in the literature.

Objective
This study aims to report a quality improvement effort to integrate a deep learning sepsis detection and management platform, Sepsis Watch, into routine clinical care.

Methods
In 2016, a multidisciplinary team consisting of statisticians, data scientists, data engineers, and clinicians was assembled by the leadership of an academic health system to radically improve the detection and treatment of sepsis. This report of the quality improvement effort follows the learning health system framework to describe the problem assessment, design, development, implementation, and evaluation plan of Sepsis Watch.

Results
Sepsis Watch was successfully integrated into routine clinical care and reshaped how local machine learning projects are executed. Frontline clinical staff were highly engaged in the design and development of the workflow, machine learning model, and application. Novel machine learning methods were developed to detect sepsis early, and implementation of the model required robust infrastructure. Significant investment was required to align stakeholders, develop trusting relationships, define roles and responsibilities, and to train frontline staff, leading to the establishment of 3 partnerships with internal and external research groups to evaluate Sepsis Watch.

Conclusions
Machine learning models are commonly developed to enhance clinical decision making, but successful integrations of machine learning into routine clinical care are rare. Although there is no playbook for integrating deep learning into clinical care, learnings from the Sepsis Watch integration can inform efforts to develop machine learning technologies at other health care delivery systems.
Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review
Authors: Jacob Christine , Sanchez-Vazquez Antonio , Ivory Chris 
Published: December 2019

Background
There is a growing body of evidence highlighting the potential of mobile health (mHealth) in reducing health care costs, enhancing access, and improving the quality of patient care. However, user acceptance and adoption are key prerequisites to harness this potential; hence, a deeper understanding of the factors impacting this adoption is crucial for its success.

Objective
The aim of this review was to systematically explore relevant published literature to synthesize the current understanding of the factors impacting clinicians’ adoption of mHealth tools, not only from a technological perspective but also from social and organizational perspectives.

Methods
A structured search was carried out of MEDLINE, PubMed, the Cochrane Library, and the SAGE database for studies published between January 2008 and July 2018 in the English language, yielding 4993 results, of which 171 met the inclusion criteria. The Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and the Cochrane handbook were followed to ensure a systematic process.

Results
The technological factors impacting clinicians’ adoption of mHealth tools were categorized into eight key themes: usefulness, ease of use, design, compatibility, technical issues, content, personalization, and convenience, which were in turn divided into 14 subthemes altogether. Social and organizational factors were much more prevalent and were categorized into eight key themes: workflow related, patient related, policy and regulations, culture or attitude or social influence, monetary factors, evidence base, awareness, and user engagement. These were divided into 41 subthemes, highlighting the importance of considering these factors when addressing potential barriers to mHealth adoption and how to overcome them.

Conclusions
The study results can help inform mHealth providers and policymakers regarding the key factors impacting mHealth adoption, guiding them into making educated decisions to foster this adoption and harness the potential benefits.