Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation of yarn-level simulation models for production fabrics

This paper introduces a methodology for inverse-modeling of yarn-level mechanics of cloth, based on the mechanical response of fabrics in the real world. We compiled a database from physical tests of several different knitted fabrics used in the textile industry. These data span different types of complex knit patterns, yarn compositions, and fabric finishes, and the results demonstrate diverse physical properties like stiffness, nonlinearity, and anisotropy. We then develop a system for approximating these mechanical responses with yarn-level cloth simulation. To do so, we introduce an efficient pipeline for converting between fabric-level data and yarn-level simulation, including a novel swatch-level approximation for speeding up computation, and some small-but-necessary extensions to yarn-level models used in computer graphics. The dataset used for this paper can be found at http://mslab.es/projects/YarnLevelFabrics.
AIS Electronic Library (AISeL) AIS Electronic Library (AISeL) Moving Beyond Rule-Based Automation: A Method for Assessing Moving Beyond Rule-Based Automation: A Method for Assessing Cognitive Automation Use Cases Cognitive Automation Use Cases

Facilitated by Artificial Intelligence technology, cognitive automation means to front and back offices what the pervasive automation through physical machinery and robots meant to production plants. Thus, we can automate tasks and processes that were unimaginable to be automated one decade ago. However, organizational adoption of cognitive automation is way below its possibilities, as this novel class of automation technology is perceived to be risky by organizations. This demands structured approaches for assessing the suitability of use cases for cognitive automation. Following the Design Science Research paradigm, we develop a method for assessing cognitive automation use cases. This enables practitioners to make more informed decisions on selecting, specifying, and embedding cognitive automation use cases in their organizations. For researchers, the method serves as a conceptual frame, which they can adapt to guide their empirical research or to use it for developing future decision support to shape the future of work.
User-Centric Cluster Design and Analysis for Hybrid Sub-6GHz-mmWave-THz Dense Networks

The terahertz (THz) waves with enormous bandwidth can be used along with the existing sub-6GHz and millimeter wave (mmWave) bands to achieve the ever evolving ecosystem of applications that need to be supported by the modern wireless networks. This paper investigates a user-centric dynamic base station (BS) clustering design for a hybrid network where THz, mmWave, and sub-6GHz BSs coexist. Invoking the proposed clustering model, the BS cooperation within each band is made possible by considering long term channel variations and all the surrounding BSs within a cluster with tunable size. A typical user is associated with the best BS cluster, from either a sub-6GHz, mmWave or THz tier based on the maximum signal-to-interference-plus-noise-ratio (SINR) criterion or the maximum rate criterion. Using tools from stochastic geometry, we assess the performance of the proposed user-centric hybrid system in terms of SINR and rate coverage performances, while accounting for: band specific propagation models, directional beamfroming, and BSs random locations. The accuracy of the analytical results is validated with Monte-Carlo simulations. The obtained results recognize a clear coverage/rate trade-off where a high fraction of THz BSs improves the rate significantly but may degrade the coverage performance. Thus, with carefully planned networks, enabling user-centric BS cooperation for hybrid wireless systems can achieve ultra-high rates while maintaining sufficient coverage in sixth-generation (6G) networks.
Cooperative Manipulation of Deformable Objects by Single-Leader–Dual-Follower Teleoperation

This article proposes a method for single-leader–dual-follower teleoperation, where one robot (direct-follower robot, DFR) is directly teleoperated and the other robot (assisting-follower robot, AFR) can autonomously cooperate with the DFR to hold and move a deformable object, with the contact force regulated to a desired value. Since the AFR does not know its partner’s movement, first, it achieves position alignment with the DFR by using the contact force. Second, we develop an adaptive movement estimation algorithm according to the Lyapunov theory, such that DFR’s position is estimated in the presence of dynamic uncertainties. Finally, we adopt the impedance control to generate a reference trajectory for the AFR to track, in order to maintain the desired contact force. Several simulations are conducted on a platform with two three-degrees-of-freedom robots. Experiments are performed with a dual-arm robot (Baxter), results of which demonstrate the feasibility and effectiveness of the proposed method.
Personalization and the Decoy Effect

In this paper, we study how the decoy effect, a well-established context effect, impacts the effectiveness of personalization systems. By conducting a controlled experiment and us-ing a real-world movie recommendation system, we find different behavioral effects in personalized and non-personalized settings. Including a decoy item in a set of recommended items negatively impacts the effectiveness of the personalized recommendations, while it does not hurt the efficacy of a non-personalized one
Analysis of Newspaper Coverage of President Goodluck Jonathan’s Agricultural Development Between 2011-2014 Projects

This study examined President Goodluck Jonathan’s agricultural policies and activities from 2011 to 2014. Framing theory constituted the framework of the study. Using content analysis and four selected national dailies, the study sampled 288 editions of the newspaper. Code sheet was the instrument used in collecting data, with a high inter-coder reliability of 0.8. The study found that 23.3% of news stories and articles were on agricultural projects; and that 77.9% of the stories on agriculture were favourable to the policies and projects of President Goodluck Jonathan. It was concluded that newspaper coverage of President Goodluck Jonathan’s agricultural transformation programmes were not significantly high, compared to the reportage of other issues like Boko-Haram, which had 67.8% coverage. It was recommended that the media should pay more attention to the coverage of agricultural issues to help facilitate the desire of the government to reduce the over dependency on oil.
Examining the Effects of Health Belief and Affection on Continued Teleconsultation Use in the Post-COVID-19 Era: Evidence from China

The COVID-19 pandemic has led to a high demand for teleconsultation to protect doctors and patients from infection while maintaining healthcare services. As public mobility is no longer strictly restricted in the post-COVID-19 era, the number of teleconsultation users has declined. However, promoting continued teleconsultation use still matters as it not only helps manage public health crisis during recurrent outbreaks, but also helps solve long-term challenges rooted in healthcare system. Against this backdrop, we proposed a research model based on protection motivation theory and expectation-confirmation model to examine post-acceptance of teleconsultation from the perspectives of health belief and affection. We conducted an online survey on Chinese teleconsultation users and found that health belief and affection significantly influenced continuance intention of teleconsultation. Providing richer perspectives, this study advances the understanding of user post-acceptance of teleconsultation, and provides guidance for its sustained use in post-COVID-19 era.
Does the sum of the parts make up the Whole? Examining the Relationship Between Review Text Clusters and Product Clusters!!!

All product information gathering today begins with the digital world, while product sales could be online or offline. The current study evaluates how online user-generated textual content influences the online search for product information and product sales in the Indian automobile sector. The proposed hypotheses are tested using 23,000 online reviews, Google search index, and offline car sales from the CRISIL database. K-means clustering is adopted to divide the automobile sector into product segments. Two topics are identified from the review text using Latent Dirichlet Allocation. The influence of the review topics is estimated at the overall sector and on identified product segments. The study finds that while textual UGC influences both search and sales, the influence differs for the different product clusters within the category. This study directs managers to suitably segment their markets for better capturing the online UGC influence.
HUBUNGAN EFISIENSI OPERASIONAL DENGAN KINERJA PROFITABILITAS PADA SEKTOR PERBANKAN YANG GO PUBLIK DI BURSA EFEK JAKARTA

The aims of this research are first, to value the relationship between a level of the operational efeciency and a banking performance profitability at Jakarta Stock Exchange (JSX), then to explain a level of the operational efeciency for giving the information about banking performance profitability at Jakarta Stock Exchange. The population of this research are 25 banks that is listed at JSX from Indonesian Capital Market Directory in 2006. this population is becoming the sample for this published by Research Division and Development. Meanwhile, an object is financial report form 31 st December 2004 until 31 Desember 2006. a model and a method for the analysis is multiple regression that has been modified to final the assumption multivariate linier model. The result are firstly, from sig F has 0,000 is smaller than 0,05 so it could be said that the independent variable has an influence to the dependent variable. Then, R2 is 0,792, it means that an independent variables can gives simultant contribution to dependent variable about 79,2% on the otherhand 20,8% is influenced by another variables. Finally, based on sig t BOPO variable to ROA, CAR has smaller than 0,05 partially influences ROA but MSDN and LDR do not have significant influence because sig t is bigger than 0,05 eventhough regression coeficient has a positive result. Key Words : MSDN, BOPO,CAR, LDR, ROA.
A Review Paper on Image Quality Assessment Techniques

—Image quality measures (IQA) presentation a significant function for a types image processing treatment. At purpose for the IQA is to run quality evaluate that apply up for estimate operation image processing procedures. A big work of exertion has been built in latest years to progress objective IQA that associate fit with objective human quality metrics or subjective styles. Furthermost full reference (FR) procedure were resulted built on pixel to pixel error for example peak signal to noise ratio or mean square error, structural similarity index metric etc . Such work offers several procedures performed for IQA.
Special Edition: Contemporary Sri Lankan Society and Politics: Felicitation volume in honour of renowned Sri Lankan Sociologist Professor ST Hettige

This paper is a history of a developmentlinked research project into philanthropy in Colombo. It presents the background to the research, considers the reasons for the project being designed in a specific way, and summarises the conclusions the researchers arrived at. Whilst being of interest in themselves, the argument of this paper is that it is doubtful whether the research conclusions have had or will have any major impact on development practice nor have they contributed much if anything to poverty alleviation which was the desired impact of the project as far as the funder was concerned. This raises the more general question what are the preconditions which would lead to academic research having a more effective role in development.
Virtual Instrumentation for Study of a Fluid Power System

Alamgir A. Choudhury is an Associate Professor of Engineering Design, Manufacturing and Management Systems at Western Michigan University, Kalamazoo, Michigan. His MS and PhD are in mechanical engineering from NMSU (Las Cruces) and BS in mechanical engineering from BUET (Dhaka). His interest includes computer applications in curriculum, MCAE, mechanics, fluid power, and instrumentation & control. He is a Registered Professional Engineer in the State of Ohio and affiliated with ASME, ASEE, SME and TAP.
Knowledge Transfer in University-Private Research Partnership in Saudi Arabia: A review

The Kingdom of Saudi Arabia seeks to have at least five universities in the top 200 of international rankings by 2030; which urges academics to develop strong research partnerships with the private sector. Furthermore, the intermediary company has emerged in several universities to facilitate knowledge transfer processes between universities and the private sector mutually. Nevertheless, despite the growing awareness of the importance of research partnership, studies stressed that current partnerships’ level is relatively low. Thus, there is a need to investigate this issue further. Besides, there is a need to in-depth analyse the gender-difference to understand the phenomenon. Accordingly, this mixed-methods study aims to examine the influence of social capital theory factors on the knowledge transfer process, with the existence of the intermediary company between public universities and private sector during the Engagement phase in Saudi Arabia based on the perspectives of the leaders’ gender.
Augmented Reality Smartphone Applications as a Tool to Raise Awareness of Circular Economy

Environmental problems are increasingly jeopardizing the earth's life-support systems. By shifting from a take-make-dispose industrial model to a circular one, resources will last longer, and the environmental impact will be significantly lower. People’s choices, behaviours and lifestyles will play a vital role in achieving sustainable development . A way to influence this is to use an educational tool that is accessible, interesting and fun. By superimposing computer generated objects to the real world, Augmented Reality (AR) adds a layer of interactivity and engagement. As there are 3 billion active smartphone users worldwide, an AR smartphone application is also very accessible. This thesis investigates how marker-based AR can be used as a means to educate a user in circular economy. This was done by using research through design and applied research to create a design for a prototype which worked as a proof of concept. The prototype was evaluated through a heuristic evaluation. Data was gathered through a form and semi-structured interviews. The data was analysed using the framework method and box plots. The prototype used marker-based AR and was built using the game engine Unity with the Vuforia SDK. The results indicated that an AR application could be a good tool to use in combination with other sources of information such as seminars.
PneumoniaT Cells to the Lung During Influenza Naive, Acutely Activated, and Memory CD8 The Role of Antigen in the Localization of

The role of Ag in the recruitment and localization of naive, acutely activated, and memory CD8 (cid:1) T cells to the lung during inﬂuenza infection was explored using TCR-transgenic (Tg) mice. Naive, Thy1.2 (cid:1) CD8 (cid:1) OT-I TCR-Tg cells were primed and recruited to the lung after transfer into congenic Thy1.1 (cid:1) recipients challenged with a genetically engineered inﬂuenza virus (inﬂuenza A/WSN/33 (WSN)-OVA I ) containing the K b restricted OVA 257–264 epitope (siinfekl) in the viral neuraminidase stalk. However, if the transferred animals were infected with a similar inﬂuenza virus that expressed an irrelevant K b epitope (WSN-PEPII), no TCR-Tg T cells were detectable in the lung, although they were easily visible in the lymphoid organs. Conversely, there were substantial numbers of OT-I cells found in the lungs of WSN-PEPII-infected mice when the animals had been previously, or were concurrently, infected with a recombinant vaccinia virus expressing OVA. Similar results were obtained with nontransgenic populations of memory CD8 (cid:1) T cells reactive to a murine (cid:2) -herpesvirus-68 Ag. Interestingly, the primary host response to the immunodominant inﬂuenza nucleoprotein epitope was not affected by the presence of memory or recently activated OT-I T cells. Thus, although Ag is required to activate the T cells, the subsequent localization of T cells to the lung during a virus infection is a property of recently activated and memory T cells and is not necessarily driven by Ag in the lung. The Journal of Immunology, 2001,
Cluster-glass wave function in the two-dimensional extended t-J model

The recent observation of an electronic cluster glass state composed of random domains with unidirectional modulation of charge density and/or spin density on Bi_{2}Sr_{2}CaCu_{2}O_{8+\delta} reinvigorates the debate of existence of competing interactions and their importance in high temperature superconductivity. By using a variational approach, here we show that the presence of the cluster glass state is actually an inherent nature of the model based on the antiferromagnetic interaction (J) only, i.e. the well known t-J model. There is no need yet to introduce a competing interaction to understand the existence of the cluster glass state. The long-range pairing correlation is not much influenced by the disorder in the glass state which also has nodes and linear density of states. In the antinodal region, the spectral weight is almost completely suppressed. The modulation also produces subgap structures inside the "coherent" peaks of the local density of states.
Synergistic effect of microneedle-delivered extracellular matrix compound and radiofrequency on rejuvenation of periorbital wrinkles

Background A combination of minimally invasive modalities can induce collagen regeneration more quickly and promote the penetration of topical agents, thus promoting skin rejuvenation. In this study, we aimed to investigate the synergistic efficacy of extracellular matrix compound (ECM-C) via microneedle (MN) and radiofrequency (RF) on periorbital wrinkles. Method A total of 25 participants with periorbital wrinkles were selected for this study. The left and right side of the periorbital area was randomly given ECM-C via MN or ECM-C via MN combined with RF. MN combined with ECM-C treatment was given 5 times at 2 weeks intervals, whereas RF treatment was given 3 times at 4-week intervals. The following items were assessed: wrinkles by VISIA® system; biophysical parameters such as skin hydration, transepidermal water loss (TEWL), erythema index, and melanin index by CK multiple probe adapter; and skin elasticity and skin thickness by DermaLab Combo® photographs were taken at the baseline and 2 weeks after the last treatment. Subjective assessments, such as Crow's Feet Grading Scale (CFGS) and Global Aesthetic International Scale (GAIS), were also recorded. Result A total of 25 participants with an average age of 43 years participated in this trial. Periorbital wrinkles on both sides decreased after the treatment, and the side treated with ECM via MN and RF showed better improvement than the other side with ECM-C via MN alone. Skin hydration increased after the treatment on both sides. TEWL, skin erythema, and skin melanin indexes were not changed. Skin elasticity and skin thickness increased more on the side of ECM-C via MN and RF than on the other side of ECM-C via MN alone. The evaluation scores for CFGS improved on either side; however, no difference was found for CFGS and GAIS between intergroup comparisons after the treatment. Conclusion The objective assessment of wrinkles, elasticity, and thickness of periorbital skin improved more on the side with ECM-C treatment via MN combined with RF than on the other side of ECM-C treatment via MN only. However, no statistically significant difference was found between the subjective CFGS and GAIS evaluation of the two sides.
Fluorescent Tracers for In Vivo Imaging of Lymphatic Targets

The lymphatic system continues to gain importance in a range of conditions, and therefore, imaging of lymphatic vessels is becoming more widespread for research, diagnosis, and treatment. Fluorescent lymphatic imaging offers advantages over other methods in that it is affordable, has higher resolution, and does not require radiation exposure. However, because the lymphatic system is a one-way drainage system, the successful delivery of fluorescent tracers to lymphatic vessels represents a unique challenge. Each fluorescent tracer used for lymphatic imaging has distinct characteristics, including size, shape, charge, weight, conjugates, excitation/emission wavelength, stability, and quantum yield. These characteristics in combination with the properties of the target tissue affect the uptake of the dye into lymphatic vessels and the fluorescence quality. Here, we review the characteristics of visible wavelength and near-infrared fluorescent tracers used for in vivo lymphatic imaging and describe the various techniques used to specifically target them to lymphatic vessels for high-quality lymphatic imaging in both clinical and pre-clinical applications. We also discuss potential areas of future research to improve the lymphatic fluorescent tracer design.
Enhanced Weather-Based Index Insurance Design for Hedging Crop Yield Risk

This study proposes an optimization-based weather-yield model to reduce the basis risk of weather-based index insurance. This weather-yield model helps us capture the growing season's monthly variation as it involves monthly explanatory weather indices. In addition, it can capture additional extreme weather effects by including extreme cooling or heating weather indices. This study presents an innovative machine learning framework incorporating optimization approaches to ensure the parsimony of weather index models and the accuracy of crop yield predictions, which can be integrated into the conventional policy design and pricing process. The advantages of this modeling approach and the effectiveness of weather index-based insurance based on this approach in reducing basis risk and revenue risk are demonstrated by applying county-level yield data for mid-season rice in the Anhui province, China.
Novel angiotensin-converting enzyme inhibitory peptides from tuna byproducts—milts: Preparation, characterization, molecular docking study, and antioxidant function on H2O2-damaged human umbilical vein endothelial cells

To prepare peptides with high angiotensin-converting enzyme (ACE) inhibitory (ACEi) activity, Alcalase was screened from five proteases and employed to prepare protein hydrolysate (TMH) of skipjack tuna (Katsuwonus pelamis) milts. Subsequently, 10 novel ACEi peptides were isolated from the high-ACEi activity TMH and identified as Tyr-Asp-Asp (YDD), Thr-Arg-Glu (TRE), Arg-Asp-Tyr (RDY), Thr-Glu-Arg-Met (TERM), Asp-Arg-Arg-Tyr-Gly (DRRYG), Ile-Cys-Tyr (ICY), Leu-Ser-Phe-Arg (LSFR), Gly-Val-Arg-Phe (GVRF), Lys-Leu-Tyr-Ala-Leu-Phe (KLYALF), and Ile-Tyr-Ser-Pro (IYSP) with molecular weights of 411.35, 404.41, 452.45, 535.60, 665.69, 397.48, 521.61, 477.55, 753.91, and 478.53 Da, respectively. Among them, the IC50 values of ICY, LSFR, and IYSP on ACE were 0.48, 0.59, and 0.76 mg/mL, respectively. The significant ACEi activity of ICY, LSFR, and IYSP with affinities of −7.0, −8.5, and −8.3 kcal/mol mainly attributed to effectively combining with the ACEi active sites through hydrogen bonding, electrostatic force, and hydrophobic interaction. Moreover, ICY, LSFR, and IYSP could positively influence the production of nitric oxide (NO) and endothelin-1 (ET-1) secretion in human umbilical vein endothelial cells (HUVECs) and weaken the adverse impact of norepinephrine (NE) on the production of NO and ET-1. In addition, ICY, LSFR, and IYSP could provide significant protection to HUVECs against H2O2 damage by increasing antioxidase levels to decrease the contents of reactive oxide species and malondialdehyde. Therefore, the ACEi peptides of ICY, LSFR, and IYSP are beneficial functional molecules for healthy foods against hypertension and cardiovascular diseases.