Miracle-dz/UniFAR-FTUs huggingface dataset:
Continuous space modeling in new economic geography with a quasi-linear log utility function

We consider the extension of the mathematical models presented by Pﬂ¨uger (2004) and Gaspar et al. (2018) in new economic geography to continuous space, and investigate the behavior of its solution mathe-matically. The model is a system of nonlinear integral and diﬀerential equations describing the market equilibrium and the time evolution of the spatial distribution of population density. The homogeneous stationary solution with evenly distributed population is shown to be unstable. Furthermore, it is shown numerically that the destabilized homogeneous stationary solution eventually forms spiky spatial distributions. The number of the spikes decreases as the preference for variety increases or the transport cost decreases.
System Identification and Robustness Analysis of the Circadian Regulatory Network via ARX Stochastic Interactive Model

: The circadian regulatory network is one of the main topics of plant investigations. The intracellular interactions among genes in response to the environmental stimuli of light are related to the foundation of functional genomics in plant. However, to determine what genes and how much they influence each other through transcriptional binding or physical interaction using biological assays is not easy. In this study, we detected the interactive relationships of genes in the circadian regulatory network via a systematically stochastic modeling analysis in silico . After the successful construction of the circadian regulatory network, we would analyze the stochastic system under different assumed biological conditions by performing dry experiments and discover the essential robustness (or sensitivity) characteristics of the circadian regulatory network by biological perturbations. In short, we can construct and analyze a genetic regulatory pathway of circadian network from the systems biology viewpoint.
Chomsky on Semantics∗

Semanticists will often casually remark that Chomsky—notoriously—rejects semantics. As a casual remark, there is something to this. Chomsky has explicitly argued against some central components of truth-conditional semantics. Chomsky has also frequently noted how poorly understood some aspects of semantics are, and has shown little inclination to grant the status of reasonably well-developed science to many parts of semantics. Where he is more optimistic, he has suggested that what we find is ‘basically syntax’ anyway. Skepticism about semantics is certainly among Chomsky’s views, and so the casual remark semanticists often make is fair enough. But the casual remark is also certainly too casual. Chomsky has discussed semantics frequently, from the very beginning of his work, and in many ways, semantics has played a central role in a number of key Chomskian arguments. From early on, what meanings sentences can have has been central data for Chomsky. Chomsky has also dedicated a great deal of attention to how the interface between syntax and semantics is structured. For all Chomsky’s skepticism about many aspects of truth-conditional semantics, he has never really dismissed the importance of semantics for understanding language.
Having the Right Attitude: How Attitude Impacts Trust Repair in Human—Robot Interaction

Robot co-workers, like human co-workers, make mistakes that undermine trust. Yet, trust is just as important in promoting human-robot collaboration as it is in promoting human-human collaboration. In addition, individuals can signif-icantly differ in their attitudes toward robots, which can also impact or hinder their trust in robots. To better understand how individual attitude can influence trust repair strategies, we propose a theoretical model that draws from the theory of cognitive dissonance. To empirically verify this model, we conducted a between-subjects experiment with 100 participants assigned to one of four repair strategies (apologies, denials, explanations, or promises) over three trust violations. Individual attitudes did moderate the efficacy of repair strategies and this effect differed over successive trust violations. Specifically, repair strategies were most effective relative to individual attitude during the second of the three trust violations, and promises were the trust repair strategy most impacted by an individual's attitude.
Exploring Depth Contribution for Camouflaged Object Detection

Camouflaged object detection (COD) aims to segment camouflaged objects hiding in the environment, which is challenging due to the similar appearance of camouflaged objects and their surroundings. Research in biology suggests depth can provide useful object localization cues for camouflaged object discovery. In this paper, we study the depth contribution for camouflaged object detection, where the depth maps are generated with existing monocular depth estimation (MDE) methods. Due to the domain gap between the MDE dataset and our COD dataset, the generated depth maps are not accurate enough to be directly used. We then introduce two solutions to avoid the noisy depth maps from dominating the training process. Firstly, we present an auxiliary depth estimation branch ("ADE"), aiming to regress the depth maps. We find that"ADE"is especially necessary for our"generated depth"scenario. Secondly, we introduce a multi-modal confidence-aware loss function via a generative adversarial network to weigh the contribution of depth for camouflaged object detection. Our extensive experiments on various camouflaged object detection datasets explain that the existing"sensor depth"based RGB-D segmentation techniques work poorly with"generated depth", and our proposed two solutions work cooperatively, achieving effective depth contribution exploration for camouflaged object detection.
The relationship between ITGB 1 gene expression and the formation of goose fatty liver

To explore the relationship between ITGB1 gene and goose fatty liver formation, thirty healthy 70-day-old male Landes geese were randomly divided into a control group and an overfed group for 24 days of overfeeding. The sequence of ITGB1 gene was used for bioinformatics analysis, and its expression levels in the liver of geese at different overfeeding stages (12 and 24 days) were measured by RT-qPCR. Meanwhile, different doses of fatty liver formation related factors (insulin, glucose, oleic acid, linoleic acid, and palmitic acid) were used to treat goose primary hepatocytes to detect the expression levels of ITGB1 gene. The results showed that the total length of CDS is 2 418 bp, encoding 805 amino acids (which is a hydrophilic protein) and the homology between goose and duck is higher than 98 %. The expression of ITGB1 gene in goose fatty liver was significantly up-regulated (P<0.05) after 12 and 24 days of overfeeding compared with the control group. And 0.5 mmol·L-1 oleic acid, linoleic acid and palmitic acid could significantly induce the up-regulated expression of ITGB1 gene in goose primary hepatocytes (P< 0.05). Moreover, 200 mmol·L-1 glucose could also extremely significantly induce the up-regulated expression of ITGB1 gene in goose primary hepatocytes (P< 0.01). Beside, 0.2 mmol·L-1 insulin could also somehow have tend to induce the up-regulated expression of ITGB1 gene (P= 0.098). The results indicated that the up-regulation of ITGB1 gene was closely related to the formation of goose fatty liver and could be induced by factors related to fatty liver formation, which suggested that up-regulation of ITGB1 gene expression may promote the formation of goose fatty liver.
Interpersonal functions of interjections A Systemic Functional perspective

Motivated by the frequent omission of interjections from film subtitles, this study investigates the interpersonal functions of interjections, and seeks to disentangle their meaning relations. Based on the analysis of interjections from six English language films under the theoretical framework of Systemic Functional Linguistics (SFL), the study primarily classifies the functions of interjections in terms of whether the interjections independently realize moves in exchange. The function of the interjection which realizes a move on its own is described at the semantic stratum in terms of a minor speech function, and the function of the interjection which realizes a move together with a clause is described at the lexicogrammatical stratum in terms of an optional clausal function referred to as a ‘latched function’. The study highlights the distinction between latched functions and their agnate minor speech functions, and offers more delicate accounts of the functions of interjections. It proposes a system network of the minor speech functions, which can facilitate a more systematic analysis of the functions realized by interjections. This study contributes to the SFL description of English interjections, and can offer methodological insights into further research on the functionality of interjections.
Design, manufacturing and test of a wearable device to monitor athlete's body movements

In this paper a device based on wearable sensors is introduced to describe quantitative body movements in different sports. This device can be an alternative of Image processing techniques. Image processing devices have always been used to describe quantitative body movements, which in addition to being costly, have to be used in specific conditions. The device is built from a number of wireless modules that are easy to use in real-world environments with no limitations. In this method, a quantitative description of movement is made by wireless modules and is performed by the data collected from these modules. In order to analyze the data that was extracted from an athlete's body movements with these wearable sensors, the outputs are simulated in Matlab, and some of its kinematic and kinetic parameters have been studied. Then, at the end of this paper, the quality of movement of a professional athlete and a beginner athlete are compared, and the result is shown. Kinematic and dynamic analyzes on the above activities showed the following results: The movements are generally correctly recorded. The kinematic analyzes performed for the various movements are consistent with the facts. For example, the kinematic analysis of the recorded motions showed that the coaching movement was more beautifully performed, and this was evident qualitatively during the movement.
Sinapine Thiocyanate Inhibits the Proliferation and Mobility of Pancreatic Cancer Cells by Up-Regulating GADD45A

Background: Sinapine thiocyanate (ST), an alkaloid isolated from the seeds of cruciferous species, has exhibited anti-inflammatory, anti-malignancy, and anti-angiogenic effects in previous studies. However, the effects and molecular mechanisms of action of ST in pancreatic cancer (PC) are still limited. Materials and methods: PC cells were treated with different concentrations (0, 20, 40, and 80 μM) of ST. The proliferative ability of PC cells in vitro was determined using cell count kit-8 (CCK-8), 5-ethynyl-2ʹ deoxyuridine, colony formation, and flow cytometry assays. The mobility of PC cells in vitro was analyzed using wound healing assay, transwell assay, Western blotting, and immunofluorescence. High-throughput sequencing followed by bioinformatics analysis, reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR), and Western blotting were performed to identify the key targets of ST. Finally, CCK-8 assay, wound healing assay, and xenograft tumor model were used to determine the relationship between ST and growth arrest and DNA damage-inducible alpha (GADD45A; the key target of ST) and malignant biological properties of PC in vitro and in vivo. Results: ST significantly repressed the PC cell proliferation rate and colony formation in vitro and arrested cells in the G2/M phase. ST inhibited PC cell mobility in vitro and increased E-cadherin expression (an epithelial biomarker). GADD45A was considered the key target of ST in PC and was elevated in PC cells treated with ST. The inhibition of GADD45A significantly alleviated the suppressive effects of ST on PC cell proliferation and mobility in vitro. ST suppressed PC cell proliferation in vivo and increased GADD45A expression in tumor tissues. Conclusion: ST exhibited significant anti-tumor effects on PC cells by upregulating GADD45A. ST may be a potential drug for PC treatment.
MVL-MIN: A New Heuristic Minimization Tool For Multiple-valued Logic Functions

 Abstract — In this paper, a new heuristic method to minimize multiple-valued logic (MVL) functions and its implementation results will be introduced. The motivation for this work has been to develop a light weight MVL minimization algorithm which is simpler than existing algorithms so that it can serve as a basis for the future work. MVL-MIN is designed and implemented from scratch and it is compared with MVSIS. MVSIS is a MVL minimization program developed by the Electronic Systems Design group at Berkeley. The advantages of the new algorithm include a new cube calculus based technique for detecting and eliminating the totally redundant prime implicants. A comparison with MVSIS approved that the proposed algorithm is able to solve all test files within a fixed allocation of computer resources. Since conventional testbenches are fairly small, we generated 3 sets of testbench in blif-mv format. Each set includes 8 multiple-valued logic functions. MVL-MIN is able to solve all test-benches about 5 times faster than MVSIS on average.
Distillers Dried Grains with Solubles: Determination of Metabolizable Energy Values Using Regression-Based Assays and their Correlation with Chemical Composition

The inherent variability and lack of standardization of in vivo assays to determine the metabolizable energy (ME) of DDGS has led to inconsistent values and limited its potential to use in broiler diets. Therefore, two experiments were conducted to characterize the content of nitrogen-corrected ME (MEn) in 11 DDGS sources obtained from various ethanol plants using a regression-based broiler assay and to attempt to develop equations to predict MEn based on its chemical composition. In experiment 1, the objectives were to determine the influence of inclusion level and feed intake on the resulting ME and MEn values of a single DDGS source when fed to broilers at multiple dietary inclusion levels. The ME and MEn values of DDGS determined by difference decreased as its dietary concentration increased. Pair-feeding the 30% DDGS diet to the 60% DDGS diet intake reduced the ME and MEn values of DDGS, indicating there was an effect of feed intake on the ME value of DDGS. Additionally, the MEn of DDGS was determined by two regression-based methods. First, the DDGS associated caloric intake was regressed against the amount of DDGS intake to generate linear regression equations with slopes corresponding to the MEn value of DDGS. Secondly, the dietary MEn was regressed against the DDGS inclusion level, and extrapolation of the regression line to 100% DDGS was used to estimate its ME value. Both regression methods yielded similar ME and MEn values of DDGS. Experiment 2 determined the MEn of 11 DDGS samples obtained from different biorefinery locations operated by a single ethanol producer and related these values with chemical composition and physical properties of the DDGS samples. Analyses of DDGS included gross energy, CP, Lys to CP ratio (Lys:CP), ether extract, DM, starch, total dietary fiber (TDF), neutral detergent fiber (NDF), acid detergent fiber (ADF), color scores, and particle size. On a DM basis, MEn of the 11 DDGS sources ranged from 2,284 to 3,088 kcal/kg with a CV of 7%. Hemicellulose was the only component found to be correlated with the MEn of DDGS. As a result, the lack of correlations between DDGS composition and its MEn precluded development of prediction equations. Overall, these results indicate that the MEn of DDGS estimated in MEn assays is influenced by its inclusion level in the test diet and partly due to effects on feed intake While the narrow variability in the chemical composition of the DDGS sources did not allow for the development of prediction equations, these results provide good insight into the energy utilization and uniformity of these sources for poultry feed formulations.
KNOWLEDGE MANAGEMENT AS A TOOL FOR IMPROVING THE GROWTH POTENTIAL OF ENTERPRISES

ISSN 1727-9313. HERALD OF KNUTE. 2015. No 6 69 Мета і завдання дослідження, представленого у статті, полягають у: визначенні та характеристиці процесу видобутку / збирання думок споживачів; пропозиції рішення щодо того, як проводити їх аналіз; презентації описаного методу аналізу думок на конкретному прикладі для емпіричної перевірки його дієвості. Результати дослідження. Визначено відмінності між «аналізом настроїв» та «видобутком думок». Для всебічного розуміння думки споживача слід застосовувати три типи аналізу: настроїв, де визначається ставлення до товару (продукту); основних характеристик товару, у ході якого визначаються його особливості; порівняльний. Встановлено, що нині аналітики, як правило, не запитують думку споживача. Споживач сам викладає свої думки у блогах та на різних форумах. Оскільки збір думок є корисним інструментом для прийняття рішень щодо розвитку бізнесу, виникає необхідність у пошуку нових методів щодо накопичення і обробки думок споживачів в інший спосіб, ніж раніше. При цьому у сучасних реаліях (внаслідок розвитку електронної торгівлі і т. п.) під час видобутку думок виникають певні труднощі: необхідність збору даних з різних джерел та обробка великих масивів інформації; різні форми представлення думок в Інтернеті; наявність думок про один і той самий товар на різних мовах тощо. Висновки. Існує багато різних методів для вивчення думок споживачів. При цьому вибір методу має залежати від мети аналізу і форми представлення думки, що аналізується. Більшість методів вимагають, щоб думки були представлені в одній формі. Для вирішення цієї задачі запропоновано використовувати модель LDA (прихованого розподілення Діріхле). Відповідно до цього аналіз думок потрібно проводити у два етапи: ідентифікація теми та реконструкція.
Situational Analysis Climate Change Impacts on the Livelihood and Adaptive Solutions of the Coastal Communities: A Case of Phu Tan District, Ca Mau Province

The Mekong River Delta has 7 coastal provinces including Tien Giang, Ben Tre, Tra Vinh, Soc Trang, Bac Lieu, Ca Mau and Kien Giang. Typically, Ca Mau province which exposes to both the East and West sea with a coastline of 254 m (6 coastal districts: Dam Doi, Nam Can, Ngoc Hien, Phu Tan, Tran Van Thoi, U Minh) in the recent years, has been severely influenced by climate change. The Ca Mau province has lost nearly 10,000 ha of land and coastal forests; infrastructure and properties of local people along rivers have been eroded and seriously damaged; production activities are vulnerable to sea level rise and other hydro-meteorological hazards. The life of coastal people mainly depends on agricultural production. The main income is agricultural production, forestry, aquaculture and fishing. This paper aims to provide a situational analysis on how climate change and natural disasters affect the livelihoods of coastal communities in Ca Mau Province. A case study is conducted for Phu Tan District that addresses problems and proposes urgent measures for climate change adaptation in the nearand long-term planning.
GEOSTATISTICAL APPROACH FOR THE ESTIMATION OF SHEAR-HOSTED GOLD DEPOSIT: A CASE STUDY OF THE OBUASI GOLD DEPOSIT, GHANA

aDepartment of Earth Science, Faculty of Earth and Environmental Sciences, CK Tedam University of Technology and Applied Sciences, P. O. Box 24, Navrongo, Ghana bDepartment of Geological Engineering, Kwame Nkrumah University of Science and Technology (KNUST), PMB, University Post Office; Kumasi, Ghana cDepartment of Computer Science and Engineering, University of Mines and Technology, P. O. Box 237, Tarkwa, Ghana *Corresponding Author E-mail: camadu@uds.edu. gh
The global impact of e-waste : addressing the challenge

E-waste is currently the largest growing waste stream. It is hazardous, complex and expensive to treat in an environmentally sound manner, and there is a general lack of legislation or enforcement surrounding it. Today, most e-waste is being discarded in the general waste stream. Of the e-waste in developed countries that is sent for recycling, 80 per cent ends up being shipped (often illegally) to developing countries to be recycled by hundreds of thousands of informal workers. Such globalization of e-waste has adverse environmental and health implications. This paper will elaborate on the issues posed by e-waste, the scale of its use, destinations for the trans-boundary trade flow in e-waste, risks to workers, labour and employment issues, chemicals of concern, OSH aspects, and the legal framework. It will take a systems analysis approach to the problem, explore solutions and suggest possible pathways for ILO intervention.
Multiple testing corrections for p-values and confidence intervals from generalised linear mixed models

In this article, we describe and propose methods to derive p-values and sets of confidence intervals with strong control of the family-wise error rates and coverage for tests of parameters from multiple generalised linear mixed models. We examine in particular analysis of a cluster randomised trial with multiple outcomes. While the need for corrections for multiple testing is debated, the justification for doing so is that, without correction, the probability of rejecting at least one of a set of null hypotheses is greater than the nominal rate of any single test, and hence the coverage of a confidence set is lower than the nominal rate of any single interval. There are few methods p-value corrections for GLMMs and no efficient methods for deriving confidence intervals, limiting their application in this setting. We adapt the Bonferroni and Holm methods, and the randomisation-test approach of Romano & Wolf (2005) to a generalised linear model framework. A search procedure for confidence interval limits using randomisation tests is developed to produce a set of confidence intervals under each method of correction. We show that the Romano-Wolf type procedure has nominal error rates and coverage under non-independent correlation structures in a simulation-based study, but the other methods only have nominal rates when outcomes are independent. We also compare results from the analysis of a real-world trial.
Evaluation of Quantitative Yield of Two Thyme Species Affected as Different Levels of Drought Stress and the Manure Application

The present study aimed to study the effects of drought stress and manure on some physiological characteristics and quantitative yield of two species of the thymus, Thymus daenensis celak and Thymus vulgaris L. For this purpose, a factorial layout based on a randomized complete block design with three replications was done at the Agricultural Research Field of University of Birjand, Iran, during two cropping years 2015 and 2016. Experimental factors included water levels (100, 67, and 33% of field capacity), two species of thyme (T. daenensis celak and T. vulgaris L.) and manure (Cow manure) (non-application and application of 30 ton.ha-1). Drought stress reduced plant height, number of lateral branches, number of flowers, relative water content1, membrane stability index2, and quantitative yield while induced an increase in the amount of ion leakage, proline, phenol, and malondialdehyde3 compounds. Manure significantly increased the quantitative yield. Further, the amount of ion leakage was lower in the cells of T. daenensis indicating the maintenance of the integrity of cell membranes in the face of water stress, which can result in an enhancement in the efficiency of plant production and, ultimately, an increase in yield crop. In addition, Thymus daenensis had higher water use efficiency indicating lower vulnerability of this species. Results differentiated two species and Thymus daenensis can be introduced as superior species in confronting with drought stress.