nils-herrmann/clean_scirepeval huggingface dataset:
Targeted delivery and apoptosis induction of trans resveratrol ferulic acid loaded chitosan coated folic acid conjugate solid lipid nanoparticles in colon cancer cells.
Venue: Carbohydrate polymers
Year: 2020

The present study is aimed to study and to evaluate the colon cancer targeting efficacy of chitosan coated trans resveratrol (RSV) and ferulic acid (FER) loaded SLNs (solid lipid nanoparticles) that conjugated with folic acid (FA) (C RSV FER FA SLNs) in suitable models (in vitro) The FA conjugation is performed using co encapsulation method of stearic acid. Similarly, the prepared SLNs are exhibited better stability even under acidic conditions to exhibit their potentials to use as drug delivery system. Further, the optimized formulations (SLNs) are tested for physiochemical characterizations, which include FTIR, XRD, 1HNMR, particle size, zeta potential, and drug release. In vitro anti cancer studies using HT 29 cells including, fluorescence staining, flow cytometry, and western blot analysis revealed that the C RSV FER FA SLNs effectively involved and increased cytotoxicity in cancer cells that leads to induction of apoptosis as compared to free RSV FER. Thus, it is reported that, the good stability under acidic conditions of this C RSV FER FA SLNs may serve as a promising candidate for novel nanodrug formulations in cancer therapy.
Purification of Nongreen Plastids (Proplastids and Amyloplasts) from Angiosperms, and Isolation of Their Envelope Membranes.
Venue: Methods in molecular biology
Year: 2018

Plastids, a wide family of plant specific organelles, exist in all plant cells in a number of different forms with different functions essential for plant life. Among them, chloroplasts are by far the more extensively studied owing to their central role in photosynthesis. However, other plastid family members, often referred to as nongreen plastids, play also major roles in the physiology of higher plants and could be better suited for studies of specific metabolic processes in heterotrophic plant cells. Unfortunately, serious technical problems are frequently encountered with separating intact, active nongreen plastids from contaminating membranes and mitochondria. Here, we provide detailed protocols suitable for the large scale preparation of intact and highly pure proplastids from cauliflower buds, as well as amyloplasts from sycamore cultured cells, and for the subsequent separation of their surrounding envelope membranes from the stroma and other plastid fractions. Both methods proved to be highly reliable and have been instrumental for in depth investigations on biochemistry and physiology of nongreen plastids.
Efficient Coordinated Recovery of Sparse Channels in Massive MIMO
Venue: IEEE Transactions on Signal Processing
Year: 2015

This paper addresses the problem of estimating sparse channels in massive MIMO OFDM systems. Most wireless channels are sparse in nature with large delay spread. In addition, these channels as observed by multiple antennas in a neighborhood have approximately common support. The sparsity and common support properties are attractive when it comes to the efficient estimation of large number of channels in massive MIMO systems. Moreover, to avoid pilot contamination and to achieve better spectral efficiency, it is important to use a small number of pilots. We present a novel channel estimation approach which utilizes the sparsity and common support properties to estimate sparse channels and requires a small number of pilots. Two algorithms based on this approach have been developed that perform Bayesian estimates of sparse channels even when the prior is non Gaussian or unknown. Neighboring antennas share among each other their beliefs about the locations of active channel taps to perform estimation. The coordinated approach improves channel estimates and also reduces the required number of pilots. Further improvement is achieved by the data aided version of the algorithm. Extensive simulation results are provided to demonstrate the performance of the proposed algorithms.
IDENTIFIKASI POTENSI PEMANFAATAN SISTEM INFORMASI MANAJEMEN PADA PROYEK KONSTRUKSI GEDUNG JICA
Year: 2015

Proyek konstruksi cenderung mengalami peningkatan dalam hal volume dan kompleksitas sejalan dengan perkembangan ilmu pengetahuan di bidang teknik sipil dan arsitektur. Kondisi ini memicu meningkatknya resiko kegagalan proyek mengingat karakteristik proyek konstruksi yang terfragmentasi (fragmented industry) Peningkatan koordinasi dan integrasi pada masing masing proses dan pihak yang terlibat di dalam proyek diyakini mampu menjadi pemecahan masalah tersebut. Perkembangan di dalam dunia informasi dan komunikasi dewasa ini telah memberi kesempatan untuk meningkatkan koordinasi dan integrasi baik dari segi proses maupun pihak yang terlibat di dalam proyek. Salah satunya melalui pemanfaatan Sistem Informasi Manajemen (SIM) Tugas Akhir ini bertujuan untuk mengidentifikasi potensi pemanfaatan sistem informasi manajemen pada proyek konstruksi dengan Proyek Pembangunan Gedung JICA (bagian dari Proyek Pengembangan ITB Tahap III) sebagai studi kasus. Potensi pemanfaatan tersebut dikaitkan dengan kebutuhan informasi organisasi representasi owner pada proyek, PIU (Project Implementation Unit) sebagai main user dari sistem informasi yang akan diterapkan, business process organisasi tersebut, serta kesiapan infrastruktur pendukung secara umum. Dari hasil identifikasi kebutuhan informasi melalui wawancara serta analisis business process organisasi PIU, terlihat jelas bahwa informasi memegang peranan penting dalam pengelolaan implementasi proyek. Pada tinjauan aktivitas business process juga terlihat bahwa output dari aktivitas tersebut sangat bergantung kepada input berupa informasi. Dari segi kesiapan infrastruktur, secara teknis sistem informasi manajemen proyek dapat dengan mudah diterapkan pada proyek ini, mengingat elemen infrastruktur yang dibutuhkan yang terdiri atas manusia, perangkat keras, perangkat lunak, dan jaringan komputer telah tersedia. Oleh sebab itu, sistem informasi manajemen sangat potensial untuk dimanfaatkan dalam pengelolaan informasi pada Proyek Konstruksi Gedung JICA dalam mendukung kemudahan akses informasi bagi pengambilan keputusan yang cepat dan tepat.
Insurgency in Nigeria: The Prognosis and its Effects on the Nigerian Politics
Year: 2020

Since Nigeria returned to civil rule in May 1999 after several years of military rule, the nation hasn't enjoyed peaceful moment due to the activities of insurgent groups' and criminal gangs such as Boko Haram, ISWAP, bandits, armed robbers, Kidnappers and Fulani herdsmen. In light of these ugly and perturbing scenarios this study examined the causative factors of insurgency, as well as crimes in Nigeria. The study, thus, relates this to corruption, nepotism, ethnic consciousness, mediocracy, marginalisation, extreme social deprivation and religious extremism. The study considers the effects of these on the nation's politics, as the prognoses if these challenges had persisted longer than expected. To achieve this, the study adopted historical research design which is qualitative and explorative in nature, implying that data used in the study were derived from Secondary sources, via books, journal publications, government official documents, internet sources, among others. The study adopted Frustration Aggression and Relative Deprivation theories to examine the causative factors or reasons why people resort to insurgency, crimes and other forms of unrests as alternative means to register their grievances against the government. Useful recommendations in the form of articulated policy frameworks were presented to stem this ugly trend.
EFEKTIVITAS PEMBELAJARAN KONSTRUKTIVIS NOVICK DENGAN MEDIA EDUTAINMENT DALAM PEMBELAJARAN MATEMATIKA
Year: 2019

Penelitian ini bertujuan untuk mengetahui keefektifan penerapan model konstruktivis novick dengan media edutainment terhadap motivasi dan pemahaman konsep siswa. adapun populasi dalam penelitian ini yaitu siswa kelas X MIPA SMA Negeri 1 Wonomulyo sebanyak 180 siswa yang terbagi kedalam 5 kelas, kemudian diambil sampel dengan menggunakan teknik simple random sampling sebanyak 2 kelas yaitu kelas X MIPA 1 sebagai kelas eksperimen dan X MIPA 3 sebagai kelas kontrol. instrumen yang digunakan dalam penelitian ini yaitu tes hasil belajar siswa, lembar aktivitas siswa, dan angket motivasi siswa. Analisis data yang digunakan yaitu analisis data deskriptif dan inferensial. Hasil penelitian yang diperoleh yaitu (1) rata rata hasil belajar siswa setelah penerapan model konstruktivis novick dengan media edutainment lebih besar dari rata rata hasil belajar siswa sebelum penerapan model konstruktivis novick dengan media edutainment, (2) aktivitas siswa tergolong pada kategori sangat aktif, dan (3) rata rata motivasi belajar siswa setelah penerapan model konstruktivis novick dengan media edutainment lebih besar dari rata rata motivasi belajar siswa sebelum penerapan model konstruktivis novick dengan media edutainment, sehingga dapat disimpulkan bahwa penerapan model konstruktivis novick dengan eduatinment efektif diterapkan dalam pembelajaran matematika.
Land use Analysis on Urban Sustainability in a Transit Oriented Development
Year: 2018

Urban sustainability involves environmental, economic, social and political issues. The challenges in urbanization such as population growth, urban sprawl, poverty, inequality, pollution, congestion, and mobility need to be addressed to achieve a sustainable, livable, economical and energy efficient urban form. This paper aims to highlight the urban sustainability issues that arise due to the rapid development of transit corridors by analyzing the changes in land use structure and urban form in relation to a transit oriented development.
Deep drawing process without lubrication an adapted tool for a stable, economic and environmentally friendly process
Year: 2017

In today's industry, waste prevention and an efficient use of resources are becoming more important due to economic and environmental requirements. Especially in forming processes such as deep drawing, a reduced use of lubricants is highly promising for saving resources and reducing production costs. Ultimately, the highest savings can be realised by a complete lubricant free deep drawing process namely dry deep drawing. In this paper, a combined approach consisting of a new tool design for deep drawing in lubricant free applications and development of a protective tool coating is presented. The combination of macro and micro structuring of the tools and the protective coating ensure a stable process with a sufficiently wide process window under dry conditions. Since the friction in the flange area and die radius has the largest contribution to the drawing force, these parts of the tool will be adapted for the new tool design. In order to decrease the level of friction force in flange area for a given friction coefficient, the integral of the contact pressure over the contact area has to be reduced. This is achieved by macro structuring of the tool. The absence of lubricants in drawing die radius has to be compensated by tetrahedral amorphous carbon ta C films, which combine low friction coefficients and anti adhesive behaviour with a high hardness and wear resistance. The ta C films can additionally be micro structured by Direct Laser Interference Patterning (DLIP) to further improve their tribological performance.
Leadership and Reform: Mapping the Causal Pathways of Performance Information Use
Year: 2009

This paper offers empirical evidence on a specific question: how does leadership foster the use of performance data? More broadly, it informs the ways in which we understand how leadership can influence the implementation of management reforms. Previous research suggests that leadership matters to performance information use among their employees, but underspecifies the causal processes by which this influence occurs. This paper uses structural equation modeling to suggest that transformational leadership has a positive but indirect effect on performance information use via two mediating factors: Goal clarity and organizational culture.The results inform studies of leadership and reform by demonstrating how leadership can foster the effectiveness of new management systems. Even where leadership does not have a direct relationship on the reform outcome, it can still exert important indirect effects that could easily be missed by most methodologies.
Is it Expensive? The Dual Effect of Construal Level on Price Judgments
Venue: Journal of Marketing Theory and Practice
Year: 2019

When judging the expensiveness of a product or service, consumers often make comparisons to similar offerings that serve as reference points. Extant pricing literature shows that reference items in the consideration set may trigger a "contrast effect," where higher priced items make the target item seem less expensive. Two studies show that the effect of reference price depends on the consumer's level of abstract thinking or "construal level" at the time of judgment. Concrete construal leads to the standard contrast effect, but abstract construal leads to an assimilation effect, where higher priced reference items make the target seem more expensive.
Self Supervised VQ VAE for One Shot Music Style Transfer
Venue: ICASSP 2021 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2021

Neural style transfer, allowing to apply the artistic style of one image to another, has become one of the most widely showcased computer vision applications shortly after its introduction. In contrast, related tasks in the music audio domain remained, until recently, largely untackled. While several style conversion methods tailored to musical signals have been proposed, most lack the 'one shot' capability of classical image style transfer algorithms. On the other hand, the results of existing one shot audio style transfer methods on musical inputs are not as compelling. In this work, we are specifically interested in the problem of one shot timbre transfer. We present a novel method for this task, based on an extension of the vector quantized variational autoencoder (VQ VAE) along with a simple self supervised learning strategy designed to obtain disentangled representations of timbre and pitch. We evaluate the method using a set of objective metrics and show that it is able to outperform selected baselines.
PyMieDAP: a Python Fortran tool to compute fluxes and polarization signals of (exo)planets.
Year: 2018

PyMieDAP (the Python Mie Doubling Adding Programme) is a Python based tool for computing the total, linearly, and circularly polarized fluxes of incident unpolarized sun or starlight that is reflected by, respectively, Solar System planets or moons, or exoplanets at a range of wavelengths. The radiative transfer computations are based on an adding doubling Fortran algorithm and fully include polarization for all orders of scattering. The model (exo)planets are described by a model atmosphere composed of a stack of homogeneous layers containing gas and/or aerosol and/or cloud particles bounded below by an isotropically, depolarizing surface (that is optionally black) The reflected light can be computed spatially resolved and/or disk integrated. Spatially resolved signals are mostly representative for observations of Solar System planets (or moons) while disk integrated signals are mostly representative for exoplanet observations. PyMieDAP is modular and flexible, and allows users to adapt and optimize the code according to their needs. PyMieDAP keeps options open for connections with external programs and for future additions and extensions. In this paper, we describe the radiative transfer algorithm that PyMieDAP is based on and the code's principal functionalities. And we provide benchmark results of PyMieDAP that can be used for testing its installation and for comparison with other codes. PyMieDAP is available online under the GNU GPL license at this http URL
Productive Contestation, Civil Society, and Global Governance: Human Rights as a Boundary Object in ICANN
Year: 2019

Human rights have long been discussed in relation to global governance processes, but there has been disagreement about whether (and how) a consideration for human rights should be incorporated into the workings of the Internet Corporation for Assigned Names and Numbers (ICANN) one of the main bodies of Internet governance. Internet governance is generally regarded as a site of innovation in global governance; one in which civil society can, in theory, contribute equally with government and industry. This article uses the lens of boundary object theory to examine how civil society actors succeeded in inscribing human rights as a Core Value in ICANN's bylaws. As a "boundary object" in the negotiations, the concept of human rights provided enough interpretive flexibility to translate to the social realities of the various stakeholder groups, including government and industry. This consensus building process was bound by the organizing structure of the boundary object (human rights) and its ability to accommodate the interests of the different parties. The presence of civil society at the negotiating table demanded a shift in strategy from the usual "outsider" tactics of issue framing and agenda setting, to a more complex and iterative process of "productive contestation," a consensus building process fueled by the differences of experience and interests of parties, bound together by the organizing structure of the boundary object. This article describes how this process ultimately resulted in the successful adoption of human rights in ICANN's bylaws.
Multiple interaction learning with question type prior knowledge for constraining answer search space in visual question answering
Venue: ECCV Workshops
Year: 2020

Different approaches have been proposed to Visual Question Answering (VQA) However, few works are aware of the behaviors of varying joint modality methods over question type prior knowledge extracted from data in constraining answer search space, of which information gives a reliable cue to reason about answers for questions asked in input images. In this paper, we propose a novel VQA model that utilizes the question type prior information to improve VQA by leveraging the multiple interactions between different joint modality methods based on their behaviors in answering questions from different types. The solid experiments on two benchmark datasets, i.e. VQA 2.0 and TDIUC, indicate that the proposed method yields the best performance with the most competitive approaches.
Deep Learning for Multi Facility Location Mechanism Design
Venue: IJCAI
Year: 2018

Moulin [1980] characterizes the single facility, deterministic strategy proof mechanisms for social choice with single peaked preferences as the set of generalized median rules. In contrast, we have only a limited understanding of multi facility strategyproof mechanisms, and recent work has shown negative worst case results for social cost. Our goal is to design strategy proof, multi facility mechanisms that minimize expected social cost. We first give a PAC learnability result for the class of multifacility generalized median rules, and utilize neural networks to learn mechanisms from this class. Even in the absence of characterization results, we develop a computational procedure for learning almost strategy proof mechanisms that are as good as or better than benchmarks from the literature, such as the best percentile and dictatorial rules.
SMART: A Social and Mobile Aware Routing Strategy for Disruption Tolerant Networks
Venue: IEEE Transactions on Vehicular Technology
Year: 2014

Disruption tolerant networks (DTNs) are sparse mobile ad hoc networks where nodes connect with each other intermittently and end to end communication paths do not exist. Data routing in DTNs is challenging and has drawn much attention from research communities recently. Although many DTN routing strategies have been proposed in the past, they confront problems such as blind spots and dead ends and lack efficient implementation in a decentralized, large scale, mobile, and dynamic environment. To overcome these difficulties, we introduce a new solution for DTNs that leverages the social properties and mobility characteristics of users. Our observation of the mobile trajectories of three data sets collected from real DTNs reveals that user movements appear locally and they tend to form communities correlated to geographic locations. Based on these findings, we propose a social and mobile aware routing strategy (SMART) It exploits a distributed community partitioning algorithm to divide the DTN into smaller communities regarding user locations and interaction routines. For intracommunity communications, a decayed routing metric convoluting social similarity and social centrality is calculated, which is used to decide forwarding node efficiently while avoiding the blind spot and dead end problems. To enable efficient intercommunity communications, we choose the fringe nodes that travel remotely as relays, and we propose the node to community utilities for routing decision across communities. We present empirical analysis to show that SMART reduces the occurrence of blind spots and dead ends to a level below 1% The efficiency of SMART is evaluated by extensive trace driven experiments, which illustrate that it outperforms other routing strategies in various real DTN traces.
Leveraging Suppliers for Product Innovation Performance: The Moderating Role of Intellectual Capital
Year: 2018

This article scrutinizes the link between supplier leveraging and product innovation performance with the contingency of intellectual capital. Supplier leveraging refers to the utilization of knowledge obtained from suppliers for the benefit of the firm and product innovation performance to the firm's ability to introduce new and radically different products. Intellectual capital is represented by the trichotomy of structural, human, and social capital. Applying the knowledge based view, a positive moderation effect emanating from structural and human capital is hypothesized, with however a negative moderation effect emanating from social capital. The expectation for the positive moderation is grounded in the enabling knowledge processing capabilities of structural and human capital, enhancing the effectiveness of supplier leveraging for the generation of product innovation performance. The negative moderation of social capital is suggested due to it likely limiting the transferability and aggregation capacity for knowledge, in addition to also potentially questioning the legitimacy of the suppliers' information, and thus making knowledge leveraged from suppliers less effective in informing product innovation performance. Data collected from 576 manufacturing firms confirm these hypotheses. Overall, by considering the interplay between supplier leveraging and intellectual capital, and its effect on product innovation performance, this study offers important new insight on the dynamics governing product innovations within supply chains.