nils-herrmann/clean_scirepeval huggingface dataset:
A phase 2 trial of intravenous and intraperitoneal paclitaxel combined with S 1 for treatment of gastric cancer with macroscopic peritoneal metastasis
Venue: Cancer
Year: 2013

The prognosis of patients with gastric cancer with peritoneal metastasis is extremely poor. This phase 2 study evaluated the benefits and tolerability of weekly intravenous and intraperitoneal paclitaxel (PTX) treatment combined with oral S 1 in patients with gastric cancer who had macroscopic peritoneal metastasis.
Long term, feeder free maintenance of human embryonic stem cells by mussel inspired adhesive heparin and collagen type I.
Venue: Acta biomaterialia
Year: 2016

UNLABELLED For practical applications of human embryonic stem cells (hESCs) in regenerative medicine, hESCs should be cultured on a large scale, and at the same time their properties have to be maintained in a controllable manner. Here, we report a chemically defined, scalable culture platform involving co immobilization of heparin catechol (HepC) and collagen type 1 (Col) for the long term maintenance >18 passages) of hESCs in a feeder free condition. This platform utilizes a wet adhesive, mussel inspired heparin catechol conjugate as a key component. We hypothesized that the heparin's affinity toward a wide range of proteins, might support undifferentiated in vitro growth of hESC. In fact, on the HepC coated substrate, most hESC clumps were adhered ~78% at passage 2 (P2) and expressed pluripotency markers  Although HepC alone wasn't able to support long term maintenance of hESCs in a feeder free system due to decrease in the adhesion rate of hESCs on HepC coating 44% at P4) during the repeated passaging processes, we found that when collagen type I was co immobilized in the process of HepC coating, the long term maintenance (passage 18 or more) of hESCs could be achieved with 100% adhesion efficiency  One remarkable observation is that hESCs on collagen type I underwent spontaneous differentiation after P6  which implied co immobilized HepC played a role to suppress differentiation of hESCs. This study suggests that unlike the previous studies using proteins, peptides, or synthetic polymers, a polysaccharide, heparin, can be used as a cost effective component for chemically defined, feeder free culture of hESC.  Towards practical applications of human embryonic stem cells (hESCs) in regenerative medicine, hESCs should be cultured on a large scale, and their pluripotent property has to be maintained in a controllable manner. To address these issues, studies that develop chemically defined culture substrates have been explored to replace the widely used, complex, and undefined culture materials represented by Matrigel. Most reports have focused on utilizing proteins, peptides and/or synthetic polymers. However, there have not yet been studies on using polysaccharides as two dimensional coating materials to potentially replace Matrigel coating. Here, we report that heparin is an effective polysaccharide for the feeder free, two dimensional culture of hESCs. Our study implies that use of polysaccharides or a polysaccharide/ECM combination can be a new, alternative design principle for hESC culture systems.
Use of Phosphatase and Dehydrogenase Activities in the Assessment of Calcium Peroxide and Citric Acid Effects in Soil Contaminated with Petrol
Venue: Open life sciences
Year: 2020

The objective of the study was to compare the effect of calcium peroxide and citric acid on the activity of acid phosphatase (ACP) alkaline phosphatase (ALP) and dehydrogenases (DHA) in uncontaminated soil and soil contaminated with petrol. The experiment was carried out on samples of loamy sand under laboratory conditions. Petrol was introduced to soil samples at a dose of 0 and 50 g*kg 1 DM, as well as calcium peroxide or citric acid at a dose of 0, 50, 100, or 150 mg*kg 1 DM. The humidity of the samples was brought to 60% maximum water holding capacity, and the samples were incubated at 20degC for 8 weeks. Enzyme activity was determined on days 1, 14, 28, and 56. The obtained results demonstrated that the addition of calcium peroxide and citric acid did not result in significant changes in the activity of the determined enzymes in uncontaminated soil. However, it was observed that the application of calcium peroxide, particularly at the dose of 150 mg*kg 1 DM, largely alleviated the impact of petrol on the enzymatic activity of the soil contaminated with petrol. Moreover, among the determined enzymes, the activity of DHA was found to be the best indicator of the effect of calcium peroxide on the soil ecosystem.
The scolicidal activity of the essential oil obtained from the needles of Pinus nigra Arn. subsp. pallasiana (Lamb. Holmboe on hydatid cyst.
Venue: Journal of ethnopharmacology
Year: 2019

ETHNOPHARMACOLOGICAL RELEVANCE This study aimed to evaluate the in vitro activity of the essential oil of Pinus nigra subsp. pallasiana against protoscoleces of Echinococcus granulosus sensu lato. In traditional Turkish folk medicine, the essential oils and resin of P. nigra and P. sylvestris are used externally for wound healing. They are also used in cattle for treating worms and as boiling essence against cold and stomachache. Protoscoleces were aseptically aspirated from sheep livers having hydatid cysts.  Three concentrations (10, 30, and 50 mg/mL) of the essential oil from P. nigra subsp. pallasiana cones were used for 10 60 min. The essential oil was applied to protoscoleces of hydatid cyst to determine the scolicidal activity of the essential oil. Viability of protoscoleces was observed by 0.1% eosin staining.  The rate of dead protoscoleces was found to be 2.27% in the control group, which was not treated with essential oil. The rate of dead protoscoleces increased to 61.69% 69.39% 75.98% and 71.76% respectively after, 10, 20, 30, and 60 min when the protoscoleces were exposed to the P. nigra subsp. pallasiana essential oil at 10 mg/mL concentration. When protoscoleces were exposed to the essential oil of P. nigra subsp. pallasiana for 10, 20, 30, and 60 min at 30 mg/mL concentration, the mortality rates of protoscoleces were determined as 3.82% 91.33% 94.67% and 96.74% respectively. The mortality rate of 100% was determined at 50 mg/mL concentration after 60 min of exposure. According to statistical analysis, P. nigra subsp. pallasiana essential oil at all concentrations had significant scolicidal effects compared to the control group at all exposure times.  The essential oil of P. nigra subsp. pallasiana needles showed scolicidal activity and it could be a new scolicidal agent for using in hydatid cyst treatment.
Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case
Venue: Eng. Appl. Artif. Intell.
Year: 2018

In the field of manuscript studies (palaeography and codicology) a particularly interesting case is the study of highly standardized handwriting and book typologies. In such cases, the analysis of some basic layout features, mainly related to the organization of the page and to the exploitation of the available space, may be very helpful for distinguishing similar scribal hands. In this framework, we have defined a set of layout features to develop a pattern recognition system for identifying the scribes who collaborated to the transcription of a single medieval Latin book. We have also experimentally characterized the discriminative power of each considered feature and we have verified whether the selection of an appropriate subset of features for each scribe, specifically devised for distinguishing him from all the others, could allow us to achieve better results. This approach allowed us to introduce in a very simple way a reject option for rejecting unreliably classified samples, namely those not assigned to any scribe or assigned to more scribes. The experiments, performed on a large database of digital images from the so called Avila Bible a giant Latin copy of the whole Bible produced during the XII century between Italy and Spain confirmed the effectiveness of the proposed method. Finally, we made publicly available the data set extracted from the Avila Bible images. We developed a novel system for distinguishing writers in medieval manuscripts.We propose new features for the writer classification task taken into account.The proposed features are based on the layout analysis.We have experimentally characterized the effectiveness of the features proposed.
A deep learning based IoT oriented infrastructure for secure smart City
Year: 2020

In recent years, the Internet of Things (IoT) infrastructures are developing in various industrial applications in sustainable smart cities and societies such as smart manufacturing, smart industries. The Cyber Physical System (CPS) is also part of IoT oriented infrastructure. CPS has gained considerable success in industrial applications and critical infrastructure with a distributed environment. This system aims to integrate the physical world to computational facilities as cyberspace. However, there are many challenges, such as security and privacy, centralization, communication latency, scalability in such an environment. To mitigate these challenges, we propose a Deep Learning based IoT oriented infrastructure for a secure smart city where Blockchain provides a distributed environment at the communication phase of CPS, and Software Defined Networking (SDN) establishes the protocols for data forwarding in the network. A deep learning based cloud is utilized at the application layer of the proposed infrastructure to resolve communication latency and centralization, scalability. It enables cost effective, high performance computing resources for smart city applications such as the smart industry, smart transportation. Finally, we evaluated the performance of our proposed infrastructure. We compared it with existing methods using quantitative analysis and security and privacy analysis with different measures such as scalability and latency. The evaluation of our implementation results shows that performance is improved.
Health tourism strategy selection via SWOT analysis and integrated hesitant fuzzy linguistic AHP MABAC approach
Year: 2020

Health tourism focuses on the organizational and operational aspects of commercial trips for the treatment of individuals. In line with the economic growth, the industry has evolved significantly in the last few decades. Istanbul, Turkey is considered as one of the most viable markets in the region due to its thermal resources, mild climate, geographical accessibility, and natural resources. This study aims to present the SWOT analysis of Istanbul's health tourism with integrated hesitant fuzzy linguistic (HFL) AHP HFL MABAC methodology to select the best strategy for its effective implementation. The proposed methodology initially determines SWOT factors required for the analysis. These factors are then weighted with HFL AHP. The results are then utilized to select the best health tourism strategy using HFL MABAC. The applicability of this approach is presented through a case study. This is the first study to propose an analytic based SWOT analysis with integrated HFL methods for the selection of most appealing health tourism strategy.
Preemptive Toxic Language Detection in Wikipedia Comments Using Thread Level Context
Year: 2019

We address the task of automatically detecting toxic content in user generated texts. We focus on exploring the potential for preemptive moderation, i.e. predicting whether a particular conversation thread will, in the future, incite a toxic comment. Moreover, we perform preliminary investigation of whether a model that jointly considers all comments in a conversation thread outperforms a model that considers only individual comments. Using an existing dataset of conversations among Wikipedia contributors as a starting point, we compile a new large scale dataset for this task consisting of labeled comments and comments from their conversation threads.
Edge Texture Analysis for Image Retrieval Application with Aid of Robust Object Recognition
Year: 2015

7  Blue Eyes Intelligence Engineering Sciences Publication Pvt. Ltd.  It is a new approach in extension with local binary pattern and ternary pattern called DRLBP and DRLTP. By using these methods, the category recognition system will be developed for application to image retrieval. The category re cognition is to classify an object into one of several predefined c ategories. The discriminative robust local binary pattern (DRLBP) an d discriminative robust local ternary pattern (DRLTP) are used for different object texture and edge contour feature e xtraction process. It is robust to illumination and contrast variations as it only considers the signs of the pixel differences. The features retain the contrast information of image patterns. They contain both edge and texture information which is desirable for object recognition. The DRLBP discriminates an object like t he object surface texture and the object shape formed by its boundary. The boundary often shows much higher contrast between the object and the background than the surface texture. Differ entiating the boundary from the surface texture brings additional discriminatory information because the boundary con tains the shape information. These features are useful to dis tinguish the maximum number of samples accurately and it is matc hed with already stored image samples for similar category c lassification. The simulated results will be shown that used DRLBP and DRLTP has better discriminatory power and recognitio n accuracy compared with prior approaches.
STAMP: Short Term Attention/Memory Priority Model for Session based Recommendation
Venue: KDD
Year: 2018

Predicting users' actions based on anonymous sessions is a challenging problem in web based behavioral modeling research, mainly due to the uncertainty of user behavior and the limited information. Recent advances in recurrent neural networks have led to promising approaches to solving this problem, with long short term memory model proving effective in capturing users' general interests from previous clicks. However, none of the existing approaches explicitly take the effects of users' current actions on their next moves into account. In this study, we argue that a long term memory model may be insufficient for modeling long sessions that usually contain user interests drift caused by unintended clicks. A novel short term attention/memory priority model is proposed as a remedy, which is capable of capturing users' general interests from the long term memory of a session context, whilst taking into account users' current interests from the short term memory of the last clicks. The validity and efficacy of the proposed attention mechanism is extensively evaluated on three benchmark data sets from the RecSys Challenge 2015 and CIKM Cup 2016. The numerical results show that our model achieves state of the art performance in all the tests.
PENGARUH GAYA KEPEMIMPINAN DAN BUDAYA ORGANISASI TERHADAP PRODUKTIVITAS AGEN PT. (PERSERO) ASURANSI: PERAN MOTIVASI KERJA
Year: 2020

Abstrak Penelitian ini bertujuan untuk mengkaji pengaruh gaya kepemimpinan dan budaya organisasi terhadap motivasi kerja serta implikasinya pada produktivitas Agen PT (Persero) Asuransi Jiwasraya Wilayah Sumatera Selatan. Metode yang digunakan dalam penelitian ini adalah metode penelitian deskriptif dan survei. Penelitian ini dimaksudkan untuk membangun suatu gambaran sesungguhnya terhadap suatu fenomena yang berada dalam konteks penelitiannya. Dengan penelitian deskriptif ini akan dikumpulkan berbagai informasi dalam rangka pengujian hipotesis atau menjawab pertanyaan pertanyaan yang menyangkut masalah penelitian. Model analisis menggunakan analisis SEM (Structural Equation Model) Penelitian dilaksanakan di Agen PT (Persero) Asuransi Jiwasraya Wilayah Sumatera Selatan. Hasil penelitian menunjukkan: (1) terdapat pengaruh gaya kepemimpinan terhadap motivasi kerja, (2) terdapat pengaruh budaya organisasi terhadap motivasi kerja, (3) terdapat pengaruh gaya kepemimpinan terhadap produktivitas, (4) tidak terdapat pengaruh budaya organisasi terhadap produktivitas, (5) terdapat pengaruh motivasi kerja terhadap produktivitas. Dalam penelitian ini disimpulkan juga bahwa budaya organisasi dapat mempengaruhi produktivitas dengan melalui motivasi kerja. Dengan demikian motivasi kerja merupakan variabel intervening yang baik untuk variabel budaya organisasi dalam mempengaruhi produktivitas. Kata kunci Gaya Kepemimpinan, Budaya Organisasi, Motivasi Kerja, Produktivitas
Music in Therapy: Increasing Possibilities for Action
Year: 2008

The article discusses how music therapy, considered as a discipline as well as arenas of different practices and theoretical models, may contribute to our understanding of how music may influence our actions. Among the many models of music therapy the author discusses an ontology of music which is compatible with a contextual understanding of how musical meanings are produced and performed. The article further presents how theories from receptive music therapy (The Bonny Method of Guided Imagery and Music) improvisational music therapy (Creative Music Therapy) Community Music Therapy, and more resource oriented ways of working may provide new insights into how music in therapy works in giving us new possibilities for action.
Design of Adaptive Robust Finite Time Nonlinear Control Inputs for Uncertain Robot Manipulators
Venue: 2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM)
Year: 2018

In this paper, an adaptive robust finite time trajectory tracking objective is studied for a wide group of n degrees of freedom (n DOF) robot manipulators subjected to parametric and modeling uncertainties and dead zone input nonlinearities. By developing the nonsingular terminal sliding mode control (NTSMC) method, nonlinear input torques are designed. These suggested control inputs possess three major interconnected parts including innovative nonlinear sliding manifolds, reaching control laws, and finite time nonlinear adaptation laws. It is mathematically proven the designed control inputs are able to ensure the global finite time stability for the robot manipulator while its dynamic matrices are unknown and dead zone nonlinearities exist in its joints. By exploiting the proposed input torques, all configuration variables of the robot precisely converge to the desired trajectories within an adjustable convergence finite time. Moreover, all estimations for unknown dynamical parameters exactly converge to constant values within the mentioned finite time. Finally, to illustrate the effectiveness of the designed control inputs, a numerical simulation is provided for a 2 DOF robot manipulator.
Quantitative mass spectrometric analysis to unravel glycoproteomic signature of follicular fluid in women with polycystic ovary syndrome
Venue: PloS one
Year: 2019

Polycystic ovary syndrome (PCOS) is a complex endocrinopathy affecting women of reproductive age, and whose etiology is not well understood yet. In these women, the follicular growth is arrested at preantral stage leading to cyst formation, consequently resulting in anovulatory infertility in these women. As the follicular fluid provides the conducive microenvironment for the growth of oocytes, molecular profiling of the fluid may provide unique information about pathophysiology associated with follicular development in PCOS. Post translational addition of oligosaccharide residues is one of the many modifications of secreted proteins influencing their functions. These glycoproteins play a significant role in disease pathology. Despite glycoproteins having such essential functions, very limited information is available on their profiling in human reproductive system, and glycoproteomic profile of follicular fluid of women with PCOS is yet unexplored. In the present study, we performed a comparative glycoproteomic analysis of follicular fluid between women with PCOS and controls undergoing in vitro fertilization, by enrichment of glycoproteins using three different lectins viz. concanavalin A, wheat germ agglutinin and Jacalin. Peptides generated by trypsin digestion were labeled with isobaric tags for relative and absolute quantification reagents and analyzed by liquid chromatography tandem mass spectrometry. We identified 10 differentially expressed glycoproteins, in the follicular fluid of women with PCOS compared to controls. Two important differentially expressed proteins SERPINA1 and ITIH4, were consistently upregulated and downregulated respectively, upon validation by immunoblotting in follicular fluid and real time polymerase chain reaction in granulosa cells. These proteins play a role in angiogenesis and extracellular matrix stabilization, vital for follicle maturation. In conclusion, a comparative glycoproteomic profiling of follicular fluid from women with PCOS and controls revealed an altered expression of proteins which may contribute to the defects in follicle development in PCOS pathophysiology.
Unusual open chain quinolinyl peroxol and its alcohol counterpart obtained through a modified Skraup Doebner Von Miller quinoline synthesis: theoretical studies and complete 1H and 13C NMR assignments
Venue: Magnetic resonance in chemistry MRC
Year: 2012

Because of their extreme instability, it is generally difficult to synthesize and fully characterize open chain peroxides, also known as peroxols. In our attempt to investigate the mechanism of the Skraup Doebner Von Miller quinoline synthesis, we were able to obtain an unusual open chain peroxy quinoline, namely, 4 (8 ethoxy 2,3 dihydro 1H cyclopenta[c]quinolin 4 yl)butane 1 peroxol (1) and its alcohol counterpart, namely 4 (8 ethoxy 2,3 dihydro 1H cyclopenta[c]quinolin 4 yl)butan 1 ol (2) obtained as a side product during the same reaction. Although structurally similar, these two compounds appeared to display some very distinct physical and spectroscopic characteristics. This work reports detailed NMR studies and full 1H and 13 C NMR assignments for these two compounds. These assignments are based upon the analysis of the NMR spectra of these compounds including 1H, 13 C, COSY, gHSQC and gHMBC. The effect of the peroxide functional group on the chemical shift of neighboring carbons and protons was also investigated by comparing the NMR data of these two compounds. Furthermore, the effects of potential hydrogen bondings in 1, 2, and possible 1 1 dimer, 2 2 dimer and in prototypical model systems, as well as the stability of these compounds, were investigated computationally. The computed dissociation energies and NMR data support the interpretation of the experimental data.
Ultrasonic assisted grinding of advanced materials for biomedical and aerospace applications a review
Year: 2017

This paper presents a review on ultrasonic assisted grinding (UAG) of advanced materials, specifically investigating the effects of ultrasonication on material removal rates (MRR) grinding forces and energy, tool wears, wheel loading, residual stress and surface/subsurface damages. It compares the performance of UAG of ceramics and super alloys for biomedical and aerospace applications, with the performance of the conventional grinding (CG) techniques. The effects of the UAG process parameters on the MRR, grinding ratio, tool life, residual stresses and surface/subsurface damages were also investigated. Studies on the performance of the UAG process in the machining of brittle and ductile materials have shown that the introduction of the ultrasonic system to the grinding process helps to increase the material removal rates significantly, and consequently reduces the surface roughness, grinding forces and subsurface damages. The self sharpening phenomenon found in the UAG process was realised to be responsible for the improved machining performance of the UAG process. Furthermore, the application of biodegradable lubricants (vegetable oil based) to the grinding process was also found to improve the machining performances of the UAG process, achieving almost the same performance as the non biodegradable lubricants. As such, the use of the biodegradable lubricants in the grinding process was encouraged due to its economic benefits, and environmental friendliness.