Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of network effects on service provider performance in digital business platforms

PurposeDigital business platforms (DBPs) such as Alibaba and Google Shopping are partnership networks that use the Internet to bring service providers (e.g. retail vendors) and customers together. One of the benefits of DBPs is network effects, in which customers can purchase from multiple providers, giving rise to a unique network. However, few studies have explored which service providers benefit from network effects and which do not.Design/methodology/approachUsing the theories of transaction costs and network analysis, the authors apply network models to DBPs to understand which service providers benefit from network effects.FindingsThe authors identify three segments of service providers: (1) those with high prominence (connection to providers with high network centrality), (2) those with high network constraint (adjacent to isolated providers) and (3) those with low prominence and constraint. The authors find that segments (1) and (3) benefit from reciprocated customer exchanges, and thus benefit from network effects, while high constraint segment (2) providers do not benefit from reciprocated exchanges. Moreover, the authors find that for segments (2) and (3) future sales have a negative association with unreciprocated customer exchanges, while segment (1) has no significant association between unreciprocated exchanges and future sales.Research limitations/implicationsThe authors discuss implications for a multisided platform (MSP), as it decides which service providers to attract, promote and recommend. They can use this study’s results to know which segments of providers will increase network effects to make the platform more valuable.Practical implicationsThis paper provides managers of service platforms with strategies for managing relations with their service providers.Social implicationsService platforms are an important and disruptive business model. The authors need to understand how network effects operate to create efficient platforms.Originality/valueThis paper extends the literature on MSPs by quantifying network effects and showing not all service providers benefit equally on an MSP from network effects. Critical insights into network effects on the MSP are provided, including different ways it can impact provider sales.
Analisis Terhadap Ketua Yayasan yang Rangkap Jabatan Di Indonesia: Sebuah Potensi Konflik Kepentingan

The aim of this legal research is toto analyze the relationship between the head of the foundation who has concurrent positions so that there is the potential to create a conflict of interest. The formulation of the problem in this study is First, namely, how is the chairman of the foundation's arrangement in Indonesia? and Second, namely, how are provisions related to concurrent positions that can cause conflicts of interest to the chair of the foundation in Indonesia? This research is legal research using a statutory and conceptual approach. Based on this research, it was found that there are two models of concurrent positions that have the potential to cause conflicts of interest, namely concurrent positions with internal positions and concurrent positions with external positions. In Indonesia, related to the chairman of the foundation, what is banned is a dual position with an internal position, such as supervisors and supervisors. Associated with the chairman of a foundation who has concurrent positions with an external position, such as being an administrator in a different foundation is not prohibited, but if the concurrent positions cause the foundation's chairman, it harms the foundation, then the chairman of the foundation can be dismissed, and even has the potential to be held personally responsible.
Structures of the protected amino acid Ac–Phe–OMe and its dimer: A β-sheet model system in the gas phase

We report on the structure of phenylalanine which is protected at the terminal positions by introducing an acetyl and a methyl group (Ac–Phe–OMe). The structures of Ac–Phe–OMe and its dimer are investigated by applying resonant 2-photon ionization (R2PI) and IR/R2PI spectroscopy as well as Hartree-Fock and density functional theory (DFT) calculations. In contrast to the R2PI spectrum of unprotected phenylalanine the spectrum of Ac–Phe–OMe exhibits only one prominent isomer. The geometry of this isomer can be correlated with a β-sheet related structure. In the case of (Ac–Phe–OMe)2 only hydrogen-bonded NH groups are observed, indicating a dimer which can easily be formed by two monomers building a β-sheet model system. This is the first observation of such a model system in the gas phase.
Modeling of Pulverized Coal Combustion with Non-Gray Gas Radiation Effects

A numerical study for simulating a swirling pulverized coal combustion in axisymmetric geometry is carried out here by applying the weighted sum of gray gases model (WSGGM) approach with the discrete ordinate method (DOM) to model the radiative heat transfer equation. In the radiative transfer equation, the same polynomial equation and coefficients for weighting factors as those for gas are adopted for the coal/char particles as a function of partial pressure and particle temperature. The Eul-erian balance equations for mass, momentum, energy, and species mass fractions are adopted with the standard k-ϵs turbulence model, whereas the Lagrangian approach is used for the particulate phase. The eddy-dissipation model is employed for the reaction rate for gaseous mixture, and the single-step first-order reaction model for the devolatili.ation process for coal. By comparing the numerical results with experimental ones, the radiation model used here is confirmed and found to provide sound alternative for simulating radiative characteristics.
Understanding the tourist-resident relationship through social contact: progressing the development of social contact in tourism

Abstract Social contact becomes an essential agenda of tourist-resident relationship research. However, the development of social contact in tourism and how it could influence the tourist-resident relationship is still ambiguous. This conceptual study addresses those research gaps by providing an overview of the current development in tourist-resident social contact; developing a tourist-resident social contact axis to understand different tourist-resident relationship through social contact; and delineating the future research directions of tourist-resident social contact. This research contributes to the theory by clarifying the development of the concept in terms of contact antecedents, contact types and contact impacts, proposing a social contact axis to understand the tourist-resident relationship through four contact scenarios and offering directions to guide the future investigations. Practically, results benefit different stakeholders regarding how to jointly develop a favourable and sustainable tourist-resident relationship.
Supporting AAC Use for Preschoolers With Complex Communication Needs

101 Vol. 25, No. 2, June 2022 YOUNG EXCEPTIONAL CHILDREN https://doi.org/10.1177/1096250620959664 DOI: 10.1177/1096250620959664 journals.sagepub.com/home/yec Article reuse guidelines: sagepub.com/journals-permissions © 2020 Division for Early Childhood Lucy is a four-year-old in Miss Miriam’s preschool class. She is an extroverted child who loves engaging in play and wants to draw her peers into her favorite activities. She especially likes to work with Play-Doh and pretend play with her toy dog, Lola. Lucy is diagnosed with Down syndrome and uses fewer than 10 words verbally. After a thorough evaluation with a multidisciplinary team including a Speech Language Pathologist (SLP) and Lucy’s family, Lucy has been provided with an AAC system. Miss Miriam was given support to learn how to use the AAC system. Now, Miss Miriam wants to know how she can help Lucy develop stronger communication skills through the use of AAC in the classroom.
Effective Soft-Core Potentials and Mesoscopic Simulations of Binary Polymer Mixtures

Mesoscopic molecular dynamics simulations are used to determine the large-scale structure of several binary polymer mixtures of various chemical architecture, concentration, and thermodynamic conditions. By implementing an analytical formalism, which is based on the solution to the Ornstein−Zernike equation, each polymer chain is mapped onto the level of a single soft colloid. From the appropriate closure relation, the effective, soft-core potential between coarse-grained units is obtained and used as input to our mesoscale simulations. The potential derived in this manner is analytical and explicitly parameter dependent, making it general and transferable to numerous systems of interest. From computer simulations performed under various thermodynamic conditions the structure of the polymer mixture, through pair correlation functions, is determined over the entire miscible region of the phase diagram. In the athermal regime mesoscale simulations exhibit quantitative agreement with united atom simulations.
The participation of the legislative power in municipal public planning: analyzing proposals for parliamentary amendments to the budget laws in Curitiba

Guided by the objective of analyzing the quantity and characteristics of amendments that have become law and by discussion on the issue of parliamentarian distancing from legislative functions regarding budget matters, this article addresses the participation of the legislative power in public planning from the perspective of social legitimacy in representative democracies. The theoretical framework, which provides support for this, is in reference to the process of public planning and to budget policies, focusing on parliamentary amendments. The methodological path emphasizes an applied research defined as a case study with a descriptive approach. The method employed is that of descriptive statistics. The results have indicated that i) the lack of technical knowledge, asymmetric information and a low quality of transparency in budget proposals perpetuate the hegemony of the executive power and ii) there were no modifications in this structure through the adoption of impositive amendments to the annual budget.
Multidecadal Changes in Southern Ocean Ventilation since the 1960s Driven by Wind and Buoyancy Forcing

Enhanced Southern Ocean ventilation in recent decades has been suggested to be a relevant modulator of the observed changes in ocean heat and carbon uptake. This study focuses on the Southern Ocean midlatitude ventilation changes from the 1960s to the 2010s. A global 1/4° configuration of the NEMO–Louvain-la-Neuve sea ice model, version 2 (LIM2), including the inert tracer CFC-12 (a proxy of ocean ventilation) is forced with the CORE, phase II (CORE-II), and JRA-55 driving ocean (JRA55-do) atmospheric reanalyses. Sensitivity experiments, where the variability of wind stress and/or the buoyancy forcing is suppressed on interannual time scales, are used to unravel the mechanisms driving ventilation changes. Ventilation changes are estimated by comparing CFC-12 interior inventories among the different experiments. All simulations suggest a multidecadal fluctuation of Southern Ocean ventilation, with a decrease until the 1980s–90s and a subsequent increase. This evolution is related to the atmospheric forcing and is caused by the (often counteracting) effects of wind stress and buoyancy forcing. Until the 1980s, increased buoyancy gains caused the ventilation decrease, whereas the subsequent ventilation increase was driven by strengthened wind stress causing deeper mixed layers and a stronger meridional overturning circulation. Wind stress emerges as the main driver of ventilation changes, even though buoyancy forcing modulates its trend and decadal variability. The three Southern Ocean basins take up CFC-12 in distinct density intervals but overall respond similarly to the atmospheric forcing. This study suggests that Southern Ocean ventilation is expected to increase as long as the effect of increasing Southern Hemisphere wind stress overwhelms that of increased stratification.
Parameter‐space‐based robust control of event‐triggered heterogene‐ous platoon

A parameter-space-based robust platooning controller for the event-triggered heterogeneous platoon is presented. The novel heterogeneous platoon is established with different longitudinal vehicle dynamic and driving preferences and the event-triggered communication scheme is designed to reduce the utilization of communication resources. To handle the stricter demand of the heterogeneous system and the disturbance caused by event-triggered communication scheme, the parameter space approach is adopted to optimize the gains of a robust controller. The feasible region where internal stability and  2 string stability are satisﬁed is then visualized in the parameters space, by extending the parameter space approach to the D-stability and frequency response magnitude speciﬁcations. Sub-sequently, the robust controller, which combines the feedforward loop and feedback loop, is developed by selecting the gain from the feasible solution area. The simulation results of the event-triggered heterogeneous platoon are presented and evaluated to verify the efﬁciency of this control algorithm. It is seen that the internal stability and string stability of the event-triggered heterogeneous platoon are guaranteed by this robust controller. Further-more, 89.7% of communication resources are saved by the application of event-triggered communication scheme, while the following performance is also favourable during the highway fuel economy cycle.
A Planar Parallel Device for Neurorehabilitation

The patient population needing physical rehabilitation in the upper extremity is constantly increasing. Robotic devices have the potential to address this problem, however most of the rehabilitation robots are technically advanced and mainly designed for clinical use. This paper presents the development of an affordable device for upper-limb neurorehabilitation designed for home use. The device is based on a 2-DOF five-bar parallel kinematic mechanism. The prototype has been designed so that it can be bound on one side of a table with a clamp. A kinematic optimization was performed on the length of the links of the manipulator in order to provide the optimum kinematic behaviour within the desired workspace. The mechanical structure was developed, and a 3D-printed prototype was assembled. The prototype embeds two single-point load cells to measure the force exchanged with the patient. Rehabilitation-specific control algorithms are described and tested. Finally, an experimental procedure is performed in order to validate the accuracy of the position measurements. The assessment confirms an acceptable level of performance with respect to the requirements of the application under analysis.
Network alignment and similarity reveal atlas-based topological differences in structural connectomes

The interactions between different brain regions can be modeled as a graph, called connectome, whose nodes correspond to parcels from a predefined brain atlas. The edges of the graph encode the strength of the axonal connectivity between regions of the atlas which can be estimated via diffusion Magnetic Resonance Imaging (MRI) tractography. Herein, we aim at providing a novel perspective on the problem of choosing a suitable atlas for structural connectivity studies by assessing how robustly an atlas captures the network topology across different subjects in a homogeneous cohort. We measure this robustness by assessing the alignability of the connectomes, namely the possibility to retrieve graph matchings that provide highly similar graphs. We introduce two novel concepts. First, the graph Jaccard index (GJI), a graph similarity measure based on the well-established Jaccard index between sets; the GJI exhibits natural mathematical properties that are not satisfied by previous approaches. Second, we devise WL-align, a new technique for aligning connectomes obtained by adapting the Weisfeiler-Lehman (WL) graph-isomorphism test. We validated the GJI and WL-align on data from the Human Connectome Project database, inferring a strategy for choosing a suitable parcellation for structural connectivity studies. Code and data are publicly available. AUTHOR SUMMARY An important part of our current understanding of the structure of the human brain relies on the concept of brain network, which is obtained by looking at how different brain regions are connected with each other. In this paper we present a strategy for choosing a suitable parcellation of the brain for structural connectivity studies by making use of the concepts of network alignment and similarity. To do so, we design a novel similarity measure between weighted networks called graph Jaccard index, and a new network alignment technique called WL-align. By assessing the possibility to retrieve graph matchings that provide highly similar graphs, we show that morphology- and structure-based atlases define brain networks which are more topologically robust across a wide range of resolutions.
Influence of reaction parameters on the structure of in situ rubber/silica compounds synthesized via sol–gel reaction

In situ silica was synthesized in three non-vulcanized rubber matrices, namely natural rubber, styrene-butadiene rubber, and EPDM (ethylene-propylene diene ter-polymer), using the sol–gel method with tetra-ethoxysilane (TEOS) as silica precursor and hexylamine as catalyst. The effect of the reaction parameters such as the amount of TEOS, the reaction time (15–120 min), and the type of rubber was explored. Transmission electron microscopy was used to study the gradient in silica content and particle size over the sample thickness. The diffusion gradient of TEOS and catalyst solution in the rubber matrix responsible for the gradient was studied with Fick's law. An excellent dispersion of silica was obtained for all rubbers, even for the very non-polar EPDM, without the use of any additives to improve the dispersion. © 2014 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2014, 52, 967–978
Oral Short-course Antibiotics Compliance Survey at Several Public Health Centres in Surabaya

Patients compliance is commonly occured in short-course antibiotics therapy. Patients compliance not only contributed to the therapeutics effect but also to prevent antibiotics resistance. Qualitatively, uncompliance in using antibiotics is affected by patients knowledge about antibiotics, improving symptomps, false in interpretating drug labels, activities, the lack of family suppor, and the lack of information given by healthcare provider. This study was aimed to observe patients compliance in using antibiotics assessed in how and howmany times they take their dosage, how they give interval between the doses, and whether they complete their course or not. The reasons behind their behaviour also investigated in this study. The survey was conducted at three public health centres in Surabaya. Patients who received short-course (3-5 days) antibiotics therapy were asked to participate in this study. The compliance was assessed using online developed self-assessment questionnaire containing 17 questions asking how they use their antibiotics and how many pills left sent in the last dosage day. The antibiotics prescription data was recorded as a refference in evaluating patients compliance. During research periods, a total of 100 patients were enrolled in this study. Of that, there were only 12.0% categoryzed as compliant. Most of patients did not give the same time interval between their doses (63,0%) and did not finished or prolonged their course (46,0%). The majority reasons behind their behaviour was feelings better or improving symptomps and simply forgot to take their antibiotics. A strengtnen in counselling and monitoring during their antibiotics course is needed in order to increase their compliance.
An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images

Abstract Building objects is one of the principal features that are essential for updating the geospatial database. Extracting building features from high-resolution imagery automatically and accurately is challenging because of the existence of some obstacles in these images, such as shadows, trees, and cars. Although deep learning approaches have shown significant improvements in the results of image segmentation in recent years, most deep neural networks still cannot achieve highly accurate results with correct segmentation map when processing high-resolution remote sensing images. Therefore, we implemented a new deep neural network named Seg–Unet method, which is a composition of Segnet and Unet techniques, to exploit building objects from high-resolution aerial imagery. Results obtained 92.73% accuracy carried on the Massachusetts building dataset. The proposed technique improved the performance to 0.44%, 1.17%, and 0.14% compared with fully convolutional neural network (FCN), Segnet, and Unet methods, respectively. Results also confirmed the superiority of the proposed method in building extraction.
Amorphous structures of Cu, Ag, and Au nanoclusters from first principles calculations

We have carried out first-principles density functional calculations for clusters of the coinage metals containing thirteen atoms (M13, where M=Cu, Ag, or Au). We find that for this geometric “magic number” the low energy isomers are actually disordered, forming almost a continuous distribution as a function of energy.
Nutritional profile of nigiri sushi meal and the usage of citrate synthase activity as freshness parameter

The aim of the study was to access the influence of nigiri sushi meal ingredients ratio on its weight, nutritional profile, physic-chemical characteristics (crude protein, lipid content, ash content, salt content, phosphorus content and thiobarbituric acid assay) and to estimate the usage of citrate synthase activity as freshness index of seafood used for sushi preparation. Nutrition composition of nigiri sushi is highly influence by rice/seafood ratio. Inclusion of processed seafood in sushi can influence significantly weight and consequently nutritional profile of nigiri sushi meal as well. Shrimp cooking resulted in 16.45±3.29% weight loss in whole non-deveined shrimp and 13.03±3.40% in non-deveined shrimp tail. Nigiri sushi meal prepared with salmon and tuna fish can be recognized as good sources of seafood. Nigiri sushi meal can be considered as a low-calorie meal (nigiri salmon: 716.13±24.18 kJ/100g; nigiri tuna: 638.12±10.64 kJ/100g; nigiri shrimp: 672.06 ± 8.72 kJ/100g) but on the contrary it cannot be considered as low salt content meal (nigiri salmon: 0.97±0.04%; nigiri tuna: 0.89±0.10%; nigiri shrimp: 1.06±0.13%). Citrate synthase activity (CSA) increases after each freezing/thawing cycle and at the end (4th cycle) were 5.29±0.67 μmol/mL/min and 6.67±0.63 μmol/mL/min in tuna and salmon samples, respectively. CSA can be recognized as reliable enzymatic kit indicator for fish freshness determination in nigiri sushi meal.