bluuebunny/crossref_metadata_2025_split huggingface dataset:
Yuanhuatine from Daphne genkwa selectively induces mitochondrial apoptosis in estrogen receptor α-positive breast cancer cells in vitro
Authors: Zhang Ying-Ying , Shang Xin-Yue , Hou Xue-Wen , Li Ling-Zhi , Wang Wei , Hayashi Toshihiko , Zhang Yan , Yao Guo-Dong , Song Shao-Jiang 
Published: October 2019

AbstractBreast cancer is one of the most common cancers diagnosed among women worldwide. Estrogen receptor alpha (ERα) is a transcriptional factor that plays an important role in the development and progression of breast cancer. Yuanhuatine, a natural daphnane-type diterpenoid extracted from Daphne genkwa, was reported to exhibit significant cytotoxicity against breast cancer cells. However, the underlying mechanism is still unclear. In this study, we evaluated the cytotoxicity of yuanhuatine on two breast cancer cell lines that are ERα-positive and -negative. The results show that yuanhuatine inhibits the growth of ERα-positive cells (MCF-7) with much stronger inhibitory activity (IC50 = 0.62 µM) compared with positive control tamoxifen (IC50 = 14.43 µM). However, no obvious cytotoxicity was observed in ERα-negative cells (MDA-MB-231). Subsequent experiment also indicated that yuanhuatine markedly induced mitochondrial dysfunction, leading to apoptosis in MCF-7 cells. Molecular docking studies suggest the potential interactions between yuanhuatine and ERα. Immunofluorescence staining and Western blot analysis indicated that yuanhuatine down-regulated the expression of ERα in MCF-7 cells. MPP, a specific ERα inhibitor, significantly enhanced yuanhuatine-induced mitochondrial dysfunction and apoptosis in MCF-7 cells. On the contrary, the treatment with yuanhuatine causes no apoptosis in MM231 cells. Altogether, in vitro and in silico results suggested that ERα down-regulation was involved in yuanhuatine-induced mitochondrial dysfunction and apoptosis in ERα-positive breast cancer cells. Thus, yuanhuatine could be a potential candidate for treating ERα-positive breast cancer.
Just Expect It: Compound Heterozygous Variants of POMT1 in a Consanguineous Family—The Role of Next Generation Sequencing in Neuromuscular Disorders
Authors: von der Hagen Maja , Becker Lena-Luise , Wienker Thomas F. , Smitka Martin , Musante Luciana , Ropers Hans-Hilger , Huebner Angela , Hu Hao , Kaindl Angela M. 
Published: October 2019

AbstractMuscular dystrophy-dystroglycanopathies (MDDG) are a group of genetically heterogeneous autosomal recessive disorders characterized by hypoglycosylation of α-dystroglycan. Here, we report on two female patients from a consanguineous Lebanese family that presented in early infancy with generalized muscle hypotonia and primary microcephaly. Brain magnetic resonance imaging (MRI) showed different degrees of hypoplasia of the cerebellar vermis and hypoplasia of corpus callosum. Muscle biopsy analyses revealed a muscular dystrophy with reduced expression of α-dystroglycan and merosin in immunoblot analyses. Homozygosity mapping failed to elucidate the causal mutation due to the accepted notion that, in consanguineous families, homozygote mutations cause disease. However, by applying whole exome sequencing, we identified a novel compound heterozygous POMT1 mutation that segregates with the phenotype and is in line with the clinical presentation. This underscores that a less expected compound heterozygous instead of homozygous mutation in a consanguineous marriage results in a recessive disorder and highlights the growing role of next generation sequencing in neuromuscular disorder diagnostics.
Efficacy and Safety of Defibrotide for the Treatment of Hepatic Veno-Occlusive Disease after Hematopoietic Stem Cell Transplantation: A Systematic Review and Meta-Analysis
Authors: Yang Liping , Qi Jiaqian , Pan Tingting , You Tao , Ruan Changgeng , Han Yue 
Published: October 2019

AbstractDefibrotide has been approved in several geographic jurisdictions for the treatment of hepatic veno-occlusive disease/sinusoidal obstruction syndrome (VOD/SOS) for years. However, available data on efficacy and safety for its use in VOD are contrasting. We performed a meta-analysis to evaluate the efficacy and safety of defibrotide in the treatment of hepatic VOD/SOS post-hematopoietic stem cell transplantation (HSCT). PubMed and Embase were searched for studies regarding the efficacy and safety of defibrotide in VOD patients. Survival rate at day + 100 post-HSCT (D + 100 SR), as well as the prognosis, comprising complete response (CR), adverse events including ≥1 adverse event (≥1 AE), hemorrhage, and serious adverse events (SAEs), were pooled using a random effect model. Sixteen studies involving 3,002 participants were included. Pooled estimates for overall D + 100 SR as well as rate of CR, ≥1 AE, hemorrhage, SAEs in VOD patients post-HSCT were 58% (95% CI: 54–62%), 57% (95% CI: 45–68%), 65% (95% CI: 54–75%), 16% (95% CI: 5–27%), 53% (95% CI: 51–55%), respectively, and were 44% (95% CI: 39–48%), 39% (95% CI: 28–50%), 88% (95% CI: 71–100%), 42% (95% CI: 30–55%), 58% (95% CI: 52–64%), respectively, in severe VOD (sVOD) patients. Hemorrhage and hypotension were the most common AEs. Current evidence suggests that defibrotide improves the D + 100 SR and CR in VOD/sVOD patients following HSCT. However, the results of this review/meta-analysis were mainly based on data from observational studies, potentially subject to selection bias. Consequently, higher quality randomized control trials and larger prospective cohort studies are warranted.
Treatment with Antithrombin or Thrombomodulin and Mortality from Heatstroke-Induced Disseminated Intravascular Coagulation: A Nationwide Observational Study
Authors: Ohbe Hiroyuki , Isogai Shunsuke , Jo Taisuke , Matsui Hiroki , Fushimi Kiyohide , Yasunaga Hideo 
Published: October 2019

AbstractHeatstroke-induced disseminated intravascular coagulation represents potential targets for specific intensive treatments. However, the effect of antithrombin or thrombomodulin treatment remains uncertain. Using a large nationwide inpatient database in Japan, this study aimed to evaluate whether treatment with antithrombin or thrombomodulin could reduce mortality among patients with heatstroke-induced disseminated intravascular coagulation. Using the Japanese Diagnosis Procedure Combination inpatient database from April 2014 to March 2017, we identified heatstroke patients who developed disseminated intravascular coagulation. We allocated patients who started treatment with antithrombin or thrombomodulin within 2 days after admission to the treatment group and allocated others to the control group. A primary outcome was in-hospital mortality. We used a doubly robust analysis to ensure the robustness of our findings. We also conducted two sensitivity analyses for thrombomodulin versus others and antithrombin versus others. We identified 1,606 eligible patients during the 81-month study period. Of these, 556 (35%) received antithrombin or thrombomodulin. The doubly robust analysis demonstrated that in-hospital mortality was significantly lower among patients in the treatment group than among those in the control group (risk difference −6.5%; 95% confidence interval: −12 to −1.4%). In-hospital mortality was significantly lower in patients with thrombomodulin than in others (risk difference −5.5%; 95% confidence interval: −9.5 to −1.6%). There was no significant difference in in-hospital mortality between patients with antithrombin and others (risk difference −4.2%; 95% confidence interval: −9.3 to 0.9%). Treatment with recombinant human thrombomodulin may be associated with lower in-hospital mortality among patients with heatstroke-induced disseminated intravascular coagulation.
The perception of a robot partner’s effort elicits a sense of commitment to human-robot interaction
Authors: Székely Marcell , Powell Henry , Vannucci Fabio , Rea Francesco , Sciutti Alessandra , Michael John 
Published: October 2019

AbstractPrevious research has shown that the perception that one’s partner is investing effort in a joint action can generate a sense of commitment, leading participants to persist longer despite increasing boredom. The current research extends this finding to human-robot interaction. We implemented a 2-player version of the classic snake game which became increasingly boring over the course of each round, and operationalized commitment in terms of how long participants persisted before pressing a ‘finish’ button to conclude each round. Participants were informed that they would be linked via internet with their partner, a humanoid robot. Our results reveal that participants persisted longer when they perceived what they believed to be cues of their robot partner’s effortful contribution to the joint action. This provides evidence that the perception of a robot partner’s effort can elicit a sense of commitment to human-robot interaction.
The situational context and the reliability of an adult model influence infants’ imitation
Authors: Stenberg Gunilla 
Published: October 2019

Abstract
Four studies examined 15- to 16-month-olds’ imitation of a model’s novel action with a familiar or an unfamiliar
object. The infants observed a reliable or an unreliable model demonstrating a novel action with the object in a solitary
observational (Study 1, 44 infants; Study 3, 40 infants) or in an interactive (Study 2, 48 infants; Study 4, 44 infants) context.
The model’s reliability was manipulated by having the model acting competently or incompetently with different familiar objects.
In two out of four studies infants imitated the model’s behavior when the model had previously shown to be reliable than when the
model had been unreliable. The infants’ motivation to imitate was related to whether the reliable model interacted with the
infants during object demonstration. More infants imitated the reliable model, who demonstrated the objects while interacting with
the infants, than the reliable model who behaved in a disinterested manner during object demonstration.
Reservoir engineering of Cooper-pair-assisted transport with cold atoms
Authors: Damanet François , Mascarenhas Eduardo , Pekker David , Daley Andrew J 
Published: October 2019

Abstract
We show how Cooper-pair-assisted transport, which describes the stimulated transport of electrons in the presence of Cooper-pairs, can be engineered and controlled with cold atoms, in regimes that are difficult to access for condensed matter systems. Our model is a channel connecting two cold atomic gases, and the mechanism to generate such a transport relies on the coupling of the channel to a molecular BEC, with diatomic molecules of fermionic atoms. Our results are obtained using a Floquet–Redfield master equation that accounts for an exact treatment of the interaction between atoms in the channel. We explore, in particular, the impact of the coupling to the BEC and the interaction between atoms in the junction on its transport properties, revealing non-trivial dependence of the produced particle current. We also study the effects of finite temperatures of the reservoirs and the robustness of the current against additional dissipation acting on the junction. Our work is experimentally relevant and has potential applications to dissipation engineering of transport with cold atoms, studies of thermoelectric effects, quantum heat engines, or Floquet Majorana fermions.
Reconstructing the temporal evolution of the speed of light in a flat FRW Universe
Authors: Wang Dan-Dan , Zhang Han-Yu , Zheng Jing-Lan , Wang Yu-Ting , Zhao Gong-Bo 
Published: October 2019

Abstract
We present a novel method to reconstruct the temporal evolution of the speed of light c(z) in a flat Friedmann-Robertson-Walker (FRW) Universe using astronomical observations. After validating our pipeline with mock datasets, we apply our method to the latest baryon acoustic oscillations (BAO) and supernovae observations, and reconstruct c(z) in the redshift range of z ∈ [0,1.5]. We find no evidence of a varying speed of light, although we see some interesting features of Δc(z), the fractional difference between c(z) and c
0 (the speed of light in the International System of Units), eg, Δc(z) < 0 and Δc(z) > 0 at 0.2 ≲ z ≲ 0.5 and 0.8 ≲ z ≲ 1.3, respectively, although the significance of these features is currently far below statistical importance.
Data ultrametricity and clusterability
Authors: Simovici Dan , Hua Kaixun 
Published: October 2019

Abstract
The increasing needs of clustering massive datasets and the high cost of running clustering algorithms poses difficult problems for users. In this context it is important to determine if a data set is clusterable, that is, it may be partitioned efficiently into well-differentiated groups containing similar objects. We approach data clusterability from an ultrametric-based perspective. A novel approach to determine the ultrametricity of a dataset is proposed via a special type of matrix product, which allows us to evaluate the clusterability of the dataset. Furthermore, we show that by applying our technique to a dissimilarity space will generate the sub-dominant ultrametric of the dissimilarity.
Comparison of hydrocarbons synthesis mathematical models for dimethyl ether catalytic transformation process
Authors: Doluda V. , Sulamn E. , Brovko R. , Tarasyuk I. , Filippov D. , Lefedova O. 
Published: October 2019

Abstract
A comparison of mathematical models applicable for hydrocarbons formation process by catalytic transformation of dimethyl ether is discussed in the article. Dimethyl transformation is complex catalytic process used for aliphatic, aromatic hydrocarbons and olefins formation. The process can be realized for transformation of renewable and waste organic resources into fuel range hydrocarbons. Proper mathematical modelling for this complex process can play a driver role for process productivity intensification. A mathematical models proposed by different authors are discussed and compared to self-developed Eley-Rideal based model. Advantages and models limitations are discussed in the article.
Intelligent system to monitor and diagnose performance deviation in Industrial Equipment
Authors: Sankara Subramanian A T , Udayakumar M D , Indragandhi V. , Ramkumar R. 
Published: October 2019

Abstract
As per ISO norms, industries used to calibrate the meters which they are using, but performance deviations of the working equipment which are not affecting the economy or production of industries are not given significant importance. So, this work aims at concentrating on fine performance deviation in induction machine which if avoided without taking corrective action may even stop production. This is done by taking a set of reference parameters and the newly taken values are compared with the reference ones and error margin is determined. Various sensors are interfaced for measuring the physical parameters of the machines. Thus, with all these the performance of industrial induction motor with different loading conditions are carried out and the possible damage that could occur if the fault in the machine is not cleared, and also will show the preventive measures to be taken to avoid the failure of the drives are framed. In industries the machines used will be of higher ratings. And if there occurs any error or fault then its production will be greatly affected, which in turn will create huge production and economic losses, so to avoid that the proposed system to forecast the performance deviations of the drives will be of great commercial significance. With this system, the production and economic losses can be reduced to greater extent and also can prevent the machines from damage.
An IBSMF Optimization Technique used Distribution system with Renewable Energy Sources
Authors: Suresh J , Ganesh V 
Published: October 2019

Abstract
In this paper, the interconnection of renewable energy sources is proposed for power quality improvement of renewable energy sources (RESs) with an energy storage system. The proposed system is the combined execution of Improved Bat Search Algorithm (IB SA) through Moth Flame Optimization Algorithm (MFOA) named as IBSMFO. The searching behaviour of the bats is modified with efficient neighborhood search functions like crossover & mutation. In the proposed method, the MFOA has handled the searching behavior of the IBSA in perspective of the minimum error objective function. The objective of the proposed IBSMFO approach was to enhance the power quality as for the real and reactive power variations. To accomplish the objective, MFOA is optimized for minimize power variations as well as the operational cost of the RESs in light of weekly and daily forecast of data for grid electricity charge, electrical load and environmental parameter. The proposed IBSMFO procedure deals with the performance of the energy storage apparatus as far as the enhancement of power in the entire system. By at that point, the proposed system is executed in MATLAB/SIMULINK working model and the execution is surveyed with the current procedure.
Recognition of fault and security of three phase induction motor by means of programmable logic controller
Authors: Pradeep M. , Sathishkumar S. , John de britto C. , Sankara Subramanian A.T. 
Published: October 2019

Abstract
This paper presents a fault protection of three phase induction motor. Induction motor is common in many industries. Fault can be occurred due to over speed, over load, high temperature, vibration, over current and over voltage. Complete monitoring is necessary to prevent the motor from the damage. Various protection schemes are implemented to protect the motor from the fault. Here we come with the PLC (Programmable Logic Controller) and SCADA (Supervisory Control and Data Acquisition) for the detection and protection of three phase induction motor from the fault. PLC is used to control the system and the SCADA is used to control and monitor the motor. Motor status can be viewed and controlled in remote location by using the SCADA software. If any fault occurs, motor automatically turns off and gives the warning to the person working in the vicinity. Hereby we can avoid unexpected failure of the motor and prevent the whole industrial process from shutting down all of a sudden which can be dangerous to the people working in the industry. This possesses high efficiency, low cost and more safety benefits than relay basedsystem.
An improved P&O MPPT control algorithm for increasing power extraction efficiency of solar PV module
Authors: Dinesh Kumar D , Babu Challa , Jyotheeswara Reddy K , Kumar K , Kumar N K 
Published: October 2019

Abstract
The extraction of solar energy is done by using power point tracking techniques. The solar PV cells available have low efficiency in the order of 15-20%. The extraction efficiency depends on solar insolation, cell temperature, angle of incidence and the load current. These factors resulting a non linear V-I characteristics for a PV cell. A Perturb & Observation MPPT is developed to operate the PV cell at a reference voltage corresponding to maximum power point in the characteristic curve. This algorithm is incorporated to improve the performance and thereby increasing the efficiency of PV cell. A 225W solar PV module at different cell temperatures and solar insolation is simulated in MATLAB environment. The simulated results shows the deviation of output power of solar module at maximum power point with ideal PV power is about 12% for different cell temperature and solar insolation.
Measuring effectiveness and efficiency of a new product development project using performance matrix – The PROTON case
Authors: Boejang H , Hassan M Z , Mokudai T , Ariff H , Esa S 
Published: October 2019

Abstract
This paper presents a study on the development of a performance matrix to measure the new product development project performance for a small car producer in Malaysia. This study was carried out through open-ended interview sessions, involving a couple of project managers, a new product introduction manager and senior product planning manager and engineers. The questionnaires were developed based on the literatures and pre-tested prior the interview sessions. The feedbacks were used to identify the most important internal and external performance outcomes that crucial to the car producer. The development lead-time represents the efficiency, while the market share represents the effectiveness of the product development process. The performance matrix was successfully developed and the relation between the development lead time and market share is asymmetric. This performance matrix is best used for comparing NPD performances between plan and actual of a developed project, as well as between actual performances of a previous project and a new project that are having a similar project scopes and contents. The application of the performance matrix through a case study indicates that the success or failure status of the new product development project can be determined. The performance matrix is found to be viable and suitable for this indigenous car producer.
The Study of Geometric Parameters of the Mong Impact on Natural Frequency
Authors: Bamrungwong Joompon , Arthibenyakul Bancha 
Published: October 2019

Abstract
The Mong or Tam-tam is sometimes also called Gong, which is a percussion instrument in Thailand. The Mong with boss generates a tone with less shim and a one-key sound. A player has to percuss the Mongs to create a rhythm with a hard rubber mallet. It was originally used for signaling peasant workers in from the fields and telling time in Thai because the Mongs are loud enough to be heard from up to 8 km away. The sound of the Mong is usually generated from the vibration of its own structure. The aims of this analysis were to study the eigen modes and identify the important parameters to generate a natural frequency, in which the boss of the Mong are excited. Finite element analysis and the design of the experiment were used to find the relation of geometric parameters that impact the eigen mode. In this paper, the inertia relief method was used to study the natural frequency of the Mong, while the spectrum analyzer was used to measure the eigen mode. The results showed that the diameter of the horizontal flange and the thickness of the Mong had a significant effect on the eigen natural frequency, which is similar to the Gong. This implies that the thickness and horizontal flange diameter must be increased if wanting to use the Mong with many key tones. The analysis agreed with the actual behavior of the structure of the Gong of Khong Wong Yai.
Application of Fuel Oil Distribution Route Using Ford Algorithm
Authors: Siregar I 
Published: October 2019

Abstract
The company which is engaged in Fuel Oil distribution is located in Riau City. Distribution in the company is to distribute Fuel Oil to each distribution center (SPBU) which is the scope of the company with the amount set by the distribution center. Distribution often experiences delays because there is no distribution route. This causes the company’s losses in the form of increasing working hours (overtime and adding of transportation vehicles. Determination of distribution routes to the company is a key to success in handling the problem of distributing Fuel Oil to each distribution center. This method provides alternatives for the company about the shortest distance traveled for the Fuel Oil distribution and delay can be minimized. The final result in this study is the company find out the loading time of the vehicle in the form of distance traveled by vehicle, distance time and cost distribution and the company can find out how long the distribution time needed to each distribution center, the shortest path problem method with the Ford algorithm can minimize the distance as much as 13 distribution center and minimize the average savings of distance for 56 km / hour.