Miracle-dz/UniFAR-FTUs huggingface dataset:
Firm Competence from Taiwanese Flat Panel Display: Perspectives on RBT and OLT

Traditionally, scholars suggest firm shall sequential to develop technology-oriented competence to enter other markets (Technology Promote Market, TPM). However, in practice, we observe contradiction that the international enterprises adopt the market-oriented perspective so as to first reflect on market, and then transfer external firm's technologies and experiences to firms (Market Promote Technology, MPT). It is an interesting phenomenon that motive to resolve the gap between the theoretical argument and practice. Thus, we explore the sequence between prioritize to develop technology and market competence, and characteristics, mechanism, and routes of interaction of small-sized firm competence. This research using the extended case method (ECM) compared two Taiwan FPD (Flat Panel Display) enterprises that produce TFT-LCD (Thin Film Transistor-Liquid Crystal Display) manufacturing equipment. We found that firms possessing the characteristics of improvement resources (CIR), develop technology competence first, and apply intra-organizational learning (intra-OL) mechanism and inside-out routes (IOR) to promote market competence. Conversely, firms having the characteristics of social resources (CSR), develop market competence first, and utilize inter-organizational learning (inter-OL) mechanism and outside-in routes (OIR) to promote technology competence.
Virtual Reality Course Notes : 6-DOF Pose Tracking with the VRduino Gordon

Positional tracking can be implemented with a variety of technologies. Commercially-available systems include mechanical trackers, magnetic trackers, ultrasonic trackers, and GPS or WIFI-based tracking. The most widely used technology, however, is optical tracking. In optical tracking, one or more cameras observe a set of reference points, for example infrared LEDs or actively illuminated retroreflective markers mounted on a VR controller or a headset (e.g., Oculus Rift and Sony’s Playstation VR headset). The pose of HMD or controller is then estimated from the measured locations of the LEDs or markers in the camera image. The arrangement of the markers on the tracked device is usually known from its design or calibrated by the manufacturer. This problem is known as the perspective-n-point problem and of importance in camera calibration, 3D computer vision, and other fields.
The role of crowdsourcing in lexicography

In the past decade, crowdsourcing has been used with great success in specialized lexicographic tasks, such as collecting candidate lexemes for dictionary updates or validating automatically identified synonyms. However, professional lexicography is only now starting to explore crowdsourcing as an integral part of the workflow, thereby opening a number of important questions that could have lasting consequences on the nature of lexicographic work, its management and financing, as well as the perception, use and life-cycle of the lexicographic product. In this paper, we address these questions through the perspective of a proposal for a new monolingual dictionary of Slovene, in which crowdsourcing will play an integral role at a number of stages of dictionary construction – from headword list creation to dealing with stylistic issues.
nderstanding the dynamic of greenspace in the urbanized area of eijing based on high resolution satellite images

Urban greenspace plays an essential role in urban ecosystem and highly contributes to the welfare of urban residents. Understanding the dynamics of greenspace is crucial for its planning and management. Previous studies have largely focused on changes in greenspace in urbanizing regions, using medium resolution remotely sensed data. However, the changes of greenspace in urbanized areas need to be accurately quantified based on high spatial resolution images because they are directly related to human health and well-being. This paper aims to enhance the understanding on dynamics of greenspace within well-developed areas of the city, using Beijing City, China as a case study. Using high spatial resolution remotely sensed imagery, we analyzed the spatial pattern of greenspace and its change on two scales: (1) the entire area within the 5th ring road, and (2) in 4 belts from urban center to fringe. We found urban greenspace was very dynamic. The proportion of urban greenspace increased by 5.45%, or 36.3 km2 in size from 2005 to 2009. The amounts of gain and loss of greenspace were 69 km2 and 32.7 km2, respectively, or 10.36% and 4.91% of the entire study area. Because of the very limited lands for greening in urbanized areas, 2 the new patches of greenspace were generally small, with the mean patch size of 676.31 m . However, those small patches enhanced the connectivity and continuity of urban greenspace. In addition, we found the differences in configuration of greenspace patches across the 4 belts were greater than the differences in total percent cover, indicating that compared to percent coverage, greenspace configuration may be more influenced by the development age.
Multimodal Age-Group Recognition for Opinion Video Logs using Ensemble of Neural Networks

With the wide spread usage of smartphones and social media platforms, video logging is gaining an increasing popularity, especially after the advent of YouTube in 2005 with hundred millions of views per day. It has attracted interest of many people with immense emerging applications, e.g. filmmak-ers, journalists, product advertisers, entrepreneurs, educators and many others. Nowadays, people express and share their opinions online on various daily issues using different forms of content including texts, audios, images and videos. This study presents a multimodal approach for recognizing the speaker’s age group from social media videos. Several structures of Artificial Neural Networks (ANNs) are presented and evaluated using standalone modalities. Moreover, a two-stage ensemble network is proposed to combine multiple modalities. In addition, a corpus of videos has been collected and prepared for multimodal age-group recog-nition with focus on Arabic language speakers. The experimental results demonstrated that combining different modalities can mitigate the limitations of unimodal recognition systems and lead to significant improvements in the results.
Fiber-Reinforced Composite Sandwich Structures by Co-Curing with Additive Manufactured Epoxy Lattices

In this paper, a new process of joining additive manufactured (AM) lattice structures and carbon fiber-reinforced plastics (CFRPs) to manufacture hybrid lattice sandwich structures without secondary bonding is investigated. Multiple variations of lattice structures are designed and 3D printed using Digital Light Synthesis (DLS) and a two-stage (B-stage) epoxy resin system. The resulting lattice structures are only partially cured and subsequently thermally co-cured with pre-impregnated carbon fiber reinforcement. The mechanical properties of the additive manufactured lattice structures are characterized by compressive tests. Furthermore, the mechanical properties of hybrid lattice sandwich structures are assessed by flexural beam testing. From compressive testing of the additive manufactured lattice structures, high specific strength can be ascertained. The mechanical behavior shows these lattice structures to be suitable for use as sandwich core materials. Flexural beam testing of hybrid lattice sandwich structures shows high strength and stiffness. Furthermore, the strength of the co-cured bond interface is high enough to surpass the strength of the lattice core.
DPM Configurations for Human Interaction Detection

Deformable parts models (DPMs) are a state-of-the-art models for the detection of human poses. Here, we investigate their performance on the detection of interactions between two people. We compare multi-layer to single-layer DPMs with either poselets or square parts placed on the limb joints of a skeleton configuration. The DPMs are based on popular models proposed by Felzenszwalb et al. [5] for generic object recognition in images, and the models proposed by Yang and Ramanan [16] for proxemics recognition, which is a method to recover postures of people interacting in photos. We train our human interaction models not on complete poses but only on the parts of the pose that are involved in the interaction. Our models are tested on five interaction classes1 from a novel human interaction data set: ShakeFive2. We show that poselets combined with multi-layered DPM yield the best results, increasing performance as much as 9.8% over a model with a single layer and 6.2% over a model without poselets.
Geometries of topological groups

The paper provides an overarching framework for the study of some of the intrinsic geometries that a topological group may carry. An initial analysis is based on geometric nonlinear functional analysis, that is, the study of Banach spaces as metric spaces up to various notions of isomorphism, such as bi-Lipschitz equivalence, uniform homeomorphism, and coarse equivalence. This motivates the introduction of the various geometric categories applicable to all topological groups, namely, their uniform and coarse structure, along with those applicable to a more select class, that is, (local) Lipschitz and quasimetric structure. Our study touches on Lie theory, geometric group theory, and geometric nonlinear functional analysis and makes evident that these can all be seen as instances of a single coherent theory.
Age-based Growth Variation of Green-blotched Parrotfish Scarus quoyi in the Southern Philippine Seas

Age structures of Scarus quoyi populations among three different bays (Davao Gulf, Pujada Bay, and Sarangani Bay) within a spanning distance of ~300 km in the southern Philippine seas were estimated by analyzing sagittal otoliths of 264 individuals. Growth from each study location was fitted using von Bertalanffy growth functions (VBGF) and the derived size-at-age trajectories for the three populations were compared. The 95% confidence interval ellipses around least squares estimate of K and L∞ showed non-overlapping regions, indicating strong differences among the examined populations. The difference in growths among Davao Gulf (K=1.00941), Pujada Bay (K=1.35561), and Sarangani Bay (K=0.98114) populations are statistically significant. The Davao Gulf population achieved larger mean asymptotic size than populations from Pujada Bay and Sarangani Bay. These variations could possibly suggest that growth rate differences are related to monsoon-driven seasonal changes, level of nutrient load and food availability, and habitat structure – including the type of substrate on the reef. Philippine Journal of Science 148 (2): 411-417, June 2019 ISSN 0031 7683 Date Received: 20 Feb 2019
Characterization of Slayer proteins of potential probiotic starter culture 1 Lactobacillus brevis SF 9 B isolated from sauerkraut 2

17 S-layers represent the simplest biological membranes developed during the evolution and 18 are one of the most abundant biopolymers on Earth. Current fundamental and applied research 19 aim to reveal the chemical structure, morphogenesis and function of S-layer proteins (Slps). This is 20 the first paper that describes the Slps of certain Lactobacillus brevis strain isolated from sauerkraut. 21 The whole genome sequence (WGS) analysis of the L. brevis SF9B strain uncovered three genes 22 encoding the putative Slps, but merely one, identified as similar to the SlpB of L. brevis ATCC 14869, 23 was expressed. Slp-expressing SF9B cells exhibited increased survival in simulated gastrointestinal 24 M AN US CR IP T AC CE PT ED ACCEPTED MANUSCRIPT (GI) conditions and during freeze-drying. Their survival in stress conditions was additionally 25 enhanced by microencapsulation, especially when using alginate with gelatine as a matrix. Thus 26 prepared cells were subjected to simulated GI conditions and their mortality was only 0.28 ± 0.45 27 log CFU/mL. Furthermore, a correlation between the high surface hydrophobicity and the 28 remarkable aggregative capacity of SF9B strain was established. The results indicate a prominent 29 role of Slps in adhesion to mucin, extracellular matrix (ECM) proteins, and particularly to Caco-2 30 cells, where the removal of Slps utterly abolished the adhesiveness of SF9B cells for 7.78 ± 0.25 log 31 CFU/mL. 32
Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.

PURPOSE Assessment of radiologic response (RR) for brain tumors utilizes the Macdonald criteria 8 to 10 weeks from the start of treatment. Diffusion magnetic resonance imaging (MRI) using a functional diffusion map (fDM) may provide an earlier measure to predict patient survival. PATIENTS AND METHODS Sixty patients with high-grade glioma were enrolled onto a study of intratreatment MRI at 1, 3, and 10 weeks. Receiver operating characteristic curve analysis was used to evaluate imaging parameters as a function of patient survival at 1 year. Both log-rank and Cox proportional hazards models were utilized to assess overall survival. RESULTS Greater increases in diffusion in response to therapy over time were observed in those patients alive at 1 year compared with those who died as a result of disease. The volume of tumor with increased diffusion by fDM at 3 weeks was the strongest predictor of patient survival at 1 year, with larger fDM predicting longer median survival (52.6 v 10.9 months; log-rank, P < .003; hazard ratio [HR] = 2.7; 95% CI, 1.5 to 5.9). Radiologic response at 10 weeks had similar prognostic value (median survival, 31.6 v 10.9 months; log-rank P < .0007; HR = 2.9; 95% CI, 1.7 to 7.2). Radiologic response and fDM differed in 25% of cases. A composite index of response including fDM and RR provided a robust predictor of patient survival and may identify patients in whom RR does not correlate with clinical outcome. CONCLUSION Compared with conventional neuroimaging, fDM provided an earlier assessment of equal predictive value, and the combination of fDM and RR provided a more accurate prediction of patient survival than either metric alone.
Histopathological Study of Time Course Changes in PTHrP-Induced Incisor Lesions of Rats

Parathyroid hormone related peptide (PTHrP) was discovered as a causative factor of humoral hypercalcemia of malignancy (HHM). In the present study using HHM model rats, the time course of odontoblastic response to PTHrP and its relation to incisal fracture were elicited. Nude rats were implanted with PTHrP-expressing tumor (LC-6) cells, mandibular incisors were collected at several time points. Microscopically 3 distinctive types of odontoblastic/dentin lesions were observed. Hypercalcfied dentin, which was reported as hypercalcemia-induced lesion in previous reports, observed in all areas of the dentin from week 5–10 samplings. Dentin niche, observed solely in week-10 sampling point, exhibited a nature identical to that of reparative odontoblast reported in the literatures of various cytotoxic agents. Since cytotoxicites were neither observed prior to the lesions nor reported as a role of PTHrP, the reparative response may have derived from highly sustained levels of PTHrP. Loss of columnar odontoblasts height was initially observed at week-5 time point in the middle section of the incisor. This primary loss of cell height prior to incisor fracture was considered to be the earliest response to the increased PTHrP levels of this model.
The profit stability of supply chains with combined contracts under demand uncertainity

This paper considered the effects of the vertical and horizontal competition between supply chains, constructed two three-level supply chains based on buy-back combined contracts and revenue-sharing combined contracts through multi-agent simulation. We analyzed the impact of demand uncertainty on the profit stability of the relevant members coordinated with different types of combined contracts. Simulation results indicate that the combined contracts have no significant impact on the earnings stability of the supply chain, but different coordination mechanisms have different effects on the stability of member's profit.
End-to-end Neural Information Retrieval

In recent years we have witnessed many successes of neural networks in the information retrieval community with lots of labeled data. Yet it remains unknown whether the same techniques can be easily adapted to search social media posts where the text is much shorter. In addition, we find that most neural information retrieval models are compared against weak baselines. In this thesis, we build an end-to-end neural information retrieval system using two toolkits: Anserini and MatchZoo. In addition, we also propose a novel neural model to capture the relevance of short and varied tweet text, named MP-HCNN. With the information retrieval toolkit Anserini, we build a reranking architecture based on various traditional information retrieval models (QL, QL+RM3, BM25, BM25+RM3), including a strong pseudo-relevance feedback baseline: RM3. With the neural network toolkit MatchZoo, we offer an empirical study of a number of popular neural network ranking models (DSSM, CDSSM, KNRM, DUET, DRMM). Experiments on datasets from the TREC Microblog Tracks and the TREC Robust Retrieval Track show that most existing neural network models cannot beat a simple language model baseline. However, DRMM provides significant improvement over the pseudo-relevance feedback baseline (BM25+RM3) on the Robust04 dataset and DUET, DRMM and MP-HCNN can provide significant improvements over the baseline (QL+RM3) on the microblog datasets. Further detailed analyses suggest that searching social media and searching news articles exhibit several different characteristics that require customized model design, shedding light on future directions.
Proceedings of the CASA Workshop on 3D Advanced Media In Gaming And Simulation (3AMIGAS)

We focus on the applicability of serious gaming fac ilitating complex decision making processes. In par ticular, we introduce the T-XChange and touch upon the Effect B ased Solution (EBS) process, in which gaming takes a significant part. EBS will be presented as a techno logy-mediated facilitation and capturing method for multistakeholder assessment, planning and/or decision-ma king processes. The Effect Based Solution method and apparatus prov ides a series of steps for eliciting from various multistakeholder perspectives the important aspects as sociated with a particular problemand solution sp ace about which a concept solution is to be devised. The stak eholders interact with (mixed reality) serious game s which are designed to pictorially represent important wicked problemand innovative solution aspects of a topic being studied. The EBS process can be viewed as a multi-stakeholde r multi-criteria decision-support system. The serious games allow for 'collaborative visual a nalytics' and are then used to interactively create a solution concept for the subject matter being studied. Colla b r tive visual analytics includes analytical reaso ning techniques, visual representations and interaction techniques, data representations and transformations techniques , and techniques that support production, presentation an d dissemination of the concept solution. The EBS process takes place in a time-pressured syn thetic interactive analytical environment including multiple displays enabling interactive group collaboration a nd it facilitates iteratively non linear decision m aking processes through an active discourse supporting dynamic mult i-stakeholder interactions.
Evaluation Of Rapd Analysis To Differentiate The Genotypes Of 11 Musa Cultivars

Evaluation of RAPD technique in differentiating the genotypes of 11 Musa cultivars. RAPD and UPGMA analysis was carried out to differentiate the genotypes of 11 Musa cultivars. Among the 08 primers, OPC-06 demonstrated highest number of amplicons while OPA-11displayed the least amplicons. The dendrogram OPR-08 displayed three clusters and one outlier that differentiated 11 Musa cultivars into 4 genotypes (AAA, AAB, ABB and AB). Among the primers employed in the study, OPR-08 was found to be efficient in differentiating the genotypes of 11 Musa cultivars. The present study recommends further investigation for the validation of OPR-08 primer in the differentiation of the Musa cultivar genotypes.
YopD Self-assembly and Binding to LcrV Facilitate Type III Secretion Activity by Yersinia pseudotuberculosis*

YopD-like translocator proteins encoded by several Gram-negative bacteria are important for type III secretion-dependent delivery of anti-host effectors into eukaryotic cells. This probably depends on their ability to form pores in the infected cell plasma membrane, through which effectors may gain access to the cell interior. In addition, Yersinia YopD is a negative regulator essential for the control of effector synthesis and secretion. As a prerequisite for this functional duality, YopD may need to establish molecular interactions with other key T3S components. A putative coiled-coil domain and an α-helical amphipathic domain, both situated in the YopD C terminus, may represent key protein-protein interaction domains. Therefore, residues within the YopD C terminus were systematically mutagenized. All 68 mutant bacteria were first screened in a variety of assays designed to identify individual residues essential for YopD function, possibly by providing the interaction interface for the docking of other T3S proteins. Mirroring the effect of a full-length yopD gene deletion, five mutant bacteria were defective for both yop regulatory control and effector delivery. Interestingly, all mutations clustered to hydrophobic amino acids of the amphipathic domain. Also situated within this domain, two additional mutants rendered YopD primarily defective in the control of Yop synthesis and secretion. Significantly, protein-protein interaction studies revealed that functionally compromised YopD variants were also defective in self-oligomerization and in the ability to engage another translocator protein, LcrV. Thus, the YopD amphipathic domain facilitates the formation of YopD/YopD and YopD/LcrV interactions, two critical events in the type III secretion process.
The role of Pap test screening against cervical cancer: a systematic review and meta-analysis.

OBJECTIVE The first aim of this article is to quantify the role of Pap test in cervical cancer prevention, updating the pool of available studies included in a previous meta-analysis. Potential sources of meta-analysis heterogeneity were investigated as second aim. Further evidence of cost-effectiveness has been provided about age and best time interval to perform Pap test screening. DATA SOURCES The articles' search was conducted using four medical electronic databases: PubMed, Google Scholar, ISI Web, and Scopus. Papers published until the 30th November 2013 were included. The research on Google Scholar was limited to the first 10 pages of web for each study design. METOD OF STUDY SELECTION A systematic review/meta-analysis was performed according to PRISMA Statement. New-Castle-Ottawa Scale and Jadad have been adopted for articles quality assessment. From 4143 screened articles, 34 met eligibility criteria and 30 case-control studies were included in meta-analysis. Meta-analysis was carried out using StatsDirect2.8. 0. Heterogeneity was investigated with qualitative and quantitative approaches in sensitivity-analysis. TABULATION, INTEGRATION AND RESULTS Despite a great heterogeneity (Cochran Q=504.466, df=29, p<0.0001; I²=94.3%; 95%CI=93.1%-95.1%), a significant protective effect of Pap test has been identified (OR=0.33; 95%CI=0.268-0.408, P <0.00011) through the meta-analysis. Sensitivity analysis did not provide significant results (R=0.358 R2=0.128 p<0.469). CONCLUSIONS The protective role of Pap test against cervical cancer has been confirmed especially among women <40 years. Annual screening still remains the most cost-effective preventive strategy.