Miracle-dz/UniFAR-FTUs huggingface dataset:
Algorithms’ Influence on Human A rtistic Creativity

In this doctoral research programme, I propose a set of three thematic research projects to investigate the influence of algorithmic curation on artists’ creative processes and viewers’ subsequent creative perception. In the context of the burgeoning “creator economy,” I first review evidence of algorithmic impact on creator’s outputs. Considering the role of process in creative output evaluation, I bring an embodied, situated perspective to online creativity. Based on these discussions, I propose three research streams: first, I tease apart the consid -eration of process from the consideration of embodiment, asking how each (process & embodiment) influence creative perception in the context of algo-rithm-made versus human-made art. In this workstream, I also consider the im-pact of the art viewer’s embodiment (physical versus digital). Next, I construct an algorithmically-curated website of visual images which controls information about the artist, their process, and their output, using the website as an experi-mental sandbox to interrogate the role of these variables in online creative perception. Finally, I supplement these findings through ethnography with artists and curators, examining the role of algorithmic considerations in their process. Simultaneously, I prompt artists to imagine the possibility of a co-designed algo-rithm that prioritizes creativity over existing metrics for engagement.
M ar 2 01 6 Post hoc verification with a single prover

We propose a simple protocol for the verification of quantum computation after the computation has been performed. Our construction can be seen as an improvement on previous results in that it requires only a single prover, who is restricted to measuring qubits in the X or Z basis, while requiring only one way communication, from the prover to the verifier. We also show similar constant round protocols with purely classical verifiers are not possible, unless BQP is contained in the third level of the polynomial hierarchy.
Deepar-Based Ground Subsidence Prediction Method

Ground subsidence near transmission lines is frequent, and there is a certain safety hazard for the normal operation of transmission lines. The existing deterministic models for ground settlement prediction are complicated to apply and require speciﬁed data parameters, which are difﬁcult to obtain; the time series prediction based on single point historical observation data has problems such as lack of data volume. In this paper, we propose a model that uses smoothed formulation of DTW (Soft-DTW) to measure the similarity of ground settlement time series and combines Kmedoids for clustering, and then uses Autoregressive recurrent neural network (DeepAR) to build a prediction model for the clustered data. It achieves a uniﬁed prediction model for multiple observation points, and is simple to apply, reducing the requirement for the amount of historical data from a single observation point. The experimental results based on the subsidence data of Qujing Sentinel observation show that the accuracy of its subsidence prediction trend established by DeepAR has been improved more obviously after the classiﬁcation of Kmedoids clustering method based on Soft-DTW.
Welding of Induction Process

This case study deals with chosen HR issues from a selected company operating in the welding industry. First, we will introduce the company, its HR processes and HR challenges. Its most important challenge is improving its induction process. First, the theoretical basis of this area is introduced. Based on the company’s needs and other secondary data, the case study then suggests solutions. Some tools to improve the induction process are proposed, because if the induction process is not properly established, it can lead to rather large problems. One result is that more employees tend to leave jobs with poor induction processes during their first year. So how can it be fixed? Read this study and be inspired.
THE EFFECT OF SOCIAL MEDIA MARKETING ON CUSTOMER LOYALTY AMONGST UNIVERSITY STUDENTS: EVIDENCE FROM THE FASHION INDUSTRY IN KUALA LUMPUR

Today, Social Media Marketing is among the best opportunities available for marketers to connect with their potential customers. Global companies use Social Media Marketing platforms to power their advertising campaign. Social Media Marketing provides businesses stronger grounds to build customer loyalty. The purpose of this research is to study the effect of Social Media Marketing on Customer Loyalty among University students. This research is based on the evidence from the Fashion Industry, as today Fashion Industry is considered as a high value-added business with guaranteed high profit per unit with loyal customers. The age group of University students from 18 to 26 years old plays a major role for marketers as they are the biggest users of Social Media. Therefore, analysing University students' loyalty towards social media platforms such as Facebook, Instagram, and YouTube is important for marketers to take into consideration in improving their marketing strategies. For this research, 218 Questionnaires were distributed among the University students in Kuala Lumpur Malaysia to collect their information about their Loyalty towards Social Media platforms. SPSS software is used to run the Descriptive test, Reliability test, Pearson Correlation test, and Regression test. The findings from the Pearson Correlation test showed that there is a significant and positive relationship between independent variables i.e. Facebook, Instagram, YouTube and dependent variable Customer Loyalty. The model was perfect with R 2 equal to 55.2%.
Microcanonical Simulations of Adsorbing Self-Avoiding Walks

Linear polymers adsorbing on a wall can be modelled by half-space self-avoiding walks adsorbing on a line in the square lattice, or on a surface in the cubic lattice. In this paper a numerical approach based on the GAS algorithm is used to approximately enumerate states in the partition function of this model. The data are used to approximate the free energy in the model, from which estimates of the location of the critical point and crossover exponents are made. The critical point is found to be located at \begin{equation} a_c^+ = \cases{ 1.779 \pm 0.003, & \hbox{in the square lattice}; \\ 1.306 \pm 0.007, & \hbox{in the cubic lattice}. } \end{equation} These results are then used to estimate the crossover exponent $\phi$ associated with the adsorption transition, giving \begin{equation} \phi = \cases{ 0.496 \pm 0.009, & \hbox{in two dimensions}; \\ 0.505 \pm 0.006, & \hbox{in three dimensions}. } \end{equation} In addition, the scaling of these thermodynamic quantities is examined using the numerical data, including the scaling of metric quantities, and the partition and generating functions. In all cases results and numerical values of exponents were obtained which are consistent with estimates in the literature.
A 2-Categorical Study of Graded and Indexed Monads

In the study of computational effects, it is important to consider the notion of computational effects with parameters. The need of such a notion arises when, for example, statically estimating the range of effects caused by a program, or studying the ways in which effects with local scopes are derived from effects with only the global scope. Extending the classical observation that computational effects can be modeled by monads, these computational effects with parameters are modeled by various mathematical structures including graded monads and indexed monads, which are two different generalizations of ordinary monads. The former has been employed in the semantics of effect systems, whereas the latter in the study of the relationship between the local state monads and the global state monads, each exemplifying the two situations mentioned above. However, despite their importance, the mathematical theory of graded and indexed monads is far less developed than that of ordinary monads. Here we develop the mathematical theory of graded and indexed monads from a 2-categorical viewpoint. We first introduce four 2-categories and observe that in two of them graded monads are in fact monads in the 2-categorical sense, and similarly indexed monads are monads in the 2-categorical sense in the other two. We then construct explicitly the Eilenberg--Moore and the Kleisli objects of graded monads, and the Eilenberg--Moore objects of indexed monads in the sense of Street in appropriate 2-categories among these four. The corresponding results for graded and indexed comonads also follow. We expect that the current work will provide a theoretical foundation to a unified study of computational effects with parameters, or dually (using the comonad variants), of computational resources with parameters, arising for example in Bounded Linear Logic.
On the central limit theorem for some birth and death process

Suppose that X_n, n>=0 is a stationary Markov chain and V is a certain function on a phase space of the chain, called an observanle. We say that the observable satisfies the central limit theorem (C.L.T.) if Y_n:=N^{-1/2}\sum_{n=0}^NV(X_n) converge in law to a normal random variable, as N goes to infinity. For a stationary Markov chain with the L^2 spectral gap the theorem holds for all V such that V(X_0) is centered and square integrable, see Gordin. The purpose of this article is to characterize a family of observables V for which the C.L. T. holds for a class of birth and death chains whose dynamics has no spectral gap, so that Gordin's result cannot be used and the result follows from an application of Kipnis-Varadhan theory.
Silica as Filler in Mixed Matrix Membrane for Carbon Dioxide Separation

: This study focuses on the effect of modiﬁed silica ﬁllers by [EMIN][Tf 2 N] via physical adsorption on the CO 2 separation performance of a mixed matrix membrane (MMM). The IL-modiﬁed silica was successfully synthesized as the presence of ﬂuorine element was observed in both Fourier transform infrared spectroscopy (FTIR) and X-ray photoelectron spectrometer (XPS) analyses. The prepared MMMs with different loadings of the IL-modiﬁed silica were then compared with an unmodiﬁed silica counterpart and neat membrane. The morphology of IL-modiﬁed MMMs was observed to have insigniﬁcant changes, while polymer chains of were found to be slightly more ﬂexible compared to their counterpart. At 2 bar of operating pressure, a signiﬁcant increase in performance was observed with the incorporation of 3 wt% Sil-IL ﬁllers compared to that of pure polycarbonate (PC). The permeability increased from 353 to 1151 Barrer while the CO 2 /CH 4 selectivity increased from 20 to 76. The aforementioned increment also exceeded the Robeson upper bound. This indicates that the incorporation of ﬁllers surface-modiﬁed with ionic liquid in an organic membrane is worth exploring for CO 2 separation.
EVALUATION OF DIFFERENT TREATMENTS ON STABILITY OF GRAPE JUICE IN SHORT-TERM STORAGE

Grape is one of the most important crops propagated in the world. Although it is produced in high amounts, the juice is not consumed much due to some problems during storage. Acidification is one of the main problems. In this study, different treatments and durations were studied in terms of the stability of grape juice after short-term (20 days) refrigerator storage. Two types of grape juice, red and white, were evaluated according to changes in some main quality criteria. The results showed that UV-C (Ultraviolet-C) and ultrasound treatments in different concentrations and durations significantly affected the stability of grape juice. Although control showed mostly higher amounts in some properties, they were unstable and changed in very large intervals. On the contrary, treatments provided notably high stability. In light of all this information, the UV-C and Ultrasound treatments were considered crucial in terms of providing much reliable storage conditions.
Generating Probabilities From Numerical Weather Forecasts by Logistic Regression

Logistic models are studied as a tool to convert output from numerical weather forecasting systems (deterministic and ensemble) into probability forecasts for binary events. A logistic model obtains by putting the logarithmic odds ratio equal to a linear combination of the inputs. As any statistical model, logistic models will suffer from over-fitting if the number of inputs is comparable to the number of forecast instances. Computational approaches to avoid over-fitting by regularisation are discussed, and efficient approaches for model assessment and selection are presented. A logit version of the so called lasso, which is originally a linear tool, is discussed. In lasso models, less important inputs are identified and discarded, thereby providing an efficient and automatic model reduction procedure. For this reason, lasso models are particularly appealing for diagnostic purposes.
THE PROSPECTS AND CHALLENGES OF ENTREPRENEURSHIP AND VENTURE CREATION AMONG GRADUATES OF TERTIARY INSTITUTIONS IN PLATEAU STATE NIGERIA

The problems of rising social vices and poverty is associated with the increase in unemployment especially among the youths in Nigeria, more youths graduate from tertiary institutions of learning only to face limited employment opportunities that are difficult to secure. One of the solutions to the problems of graduates’ unemployment in Nigeria is the promotion of entrepreneurship and venture creation among students in tertiary institutions with a view to prepare them to be job creators and not job seekers after graduation. Entrepreneurship can help reduce increasing rate of employment if encourage in the right way. The study seeks to find out the prospect and challenges of entrepreneurship and venture creation among graduates of tertiary institutions in Nigeria with Plateau state as a case study. Using the survey method of data collection, sample size of 800 questionnaires were administered, 720 were retrieved and 620 valid questionnaires were analysed after sorting. The questionnaire combined multiple choice closed and opened ended questions. A multistage sampling was adopted where the state is stratified into three senatorial zones, 4 Local Government Areas (LGA) from each of the senatorial zones were identified and graduates of tertiary institution were thereafter randomly selected. The study adopted the descriptive and evaluation methods of data analysis to analyse data gathered. Findings revealed that entrepreneurship opportunities exist in Plateau State and that more graduates are willing to venture into business creation provided there is an enabling environment. The findings also found that entrepreneurship and venture creation in Plateau state is faced with a lot of challenges among which include challenging environment for entrepreneurship practice and venture creation, limited access to start-up capital for intending graduates, unfavourable government policies, inadequate infrastructures especially in the rural areas among other challenges. The study recommends entrepreneurship education be sustained in all tertiary institutions in Nigeria, creating enabling environment by policy makers to encourage new start-up business and small and medium enterprises, access to reasonable interest loan in financial institutions that is less stringent and infrastructures should be provided in the rural areas among other recommendations.
IMPLICATIONS OF FERMI OBSERVATIONS FOR HADRONIC MODELS OF RADIO HALOS IN CLUSTERS OF GALAXIES

We analyze the impact of the Fermi non-detection of gamma-ray emission from clusters of galaxies on hadronic models for the origin of cluster radio halos. In hadronic models, the inelastic proton–proton collisions responsible for the production of the electron–positron population fueling the observed synchrotron radio emission yield a gamma-ray flux, from the decay of neutral pions, whose spectrum and normalization depend on the observed radio emissivity and on the cluster magnetic field. We thus infer lower limits on the average cluster magnetic field in hadronic models from the Fermi gamma-ray limits. We also calculate the corresponding maximal energy density in cosmic rays and the minimal-guaranteed gamma-ray flux from hadronic radio-halo models. We find that the observationally most interesting cases correspond to clusters with large radio emissivities featuring soft spectra. Estimates of the central magnetic field values for those clusters are larger than, or close, to the largest magnetic field values inferred from Faraday rotation measures of clusters, placing tension on the hadronic origin of radio halos. In most cases, however, we find that the Fermi data do not per se rule out hadronic models for cluster radio halos as the expected gamma-ray flux can be pushed below the Fermi sensitivity for asymptotically large magnetic fields. We also find that cosmic rays do not contribute significantly to the cluster energy budget for nearby radio-halo clusters.
Supplementary Materials of Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification

1 East China Normal University, Shanghai, China 2 Shanghai Development Center of Computer Software Technology, Shanghai, China 3 ZheJiang Lab, Hangzhou, China 4 Huawei Technologies, Hangzhou, China 5 Shanghai Jiao Tong University, Shanghai, China 6 Xiamen University, Fujian, China {51215901073}@stu.ecnu. edu.cn, {zzzhang,yxie}@cs.ecnu. edu.cn, {cmg}@sscenter.sh. cn, {zhangyi620}@zhejianglab.com, {wangcong64}@huawei.com, {shengbin}@sjtu.edu.cn, {yyqu}@xmu.edu.cnn
Developing Innovative School Leadership Scale And Teachers' Views on Innovative School Leadership

The purpose of this research is to develop a valid and reliable "Innovative School Leadership Scale" and examine the innovation level of school principals. Within the scope of the research, an "Innovative School Leadership Scale" with 28 items was developed. In the trial application, 197 teachers were reached, and 523 teachers in the main application. Exploratory factor analysis and confirmatory factor analysis were performed to determine the construct validity, and Cronbach's alpha coefficient was calculated to test the reliability. The measurement tool, a one-dimensional scale with 28 items, was found to be valid and reliable (= 0.989). Teachers of different gender, age and marital status have similar views on innovative school leadership. Teachers have more positive attitudes than teachers with a master's degree. It is stated that the developed scale can be used by researchers.
Ensemble based Classification of Dynamic Rumor Detection in Social Networks for Green Communication

Microblogging is the one that gained more attention among social media users. In business and individuals adopting green communication technology reduces the power consumption and reducing the operational cost. Human beings spend very little time in reading such micro-blogs and they can quickly learn and understand them very easily. It is very popular among social media users. One of the known examples of a micro-blog is Twitter. Twitter is a micro-blogging site that allows users to communicate with others using texts known as tweets. Nowadays rumor is spreading very exponentially and it is impacting society in many ways. So detecting the rumor in twitter data is one of the most concentrated research issues in recent days. Those researches introduced different research techniques to handle rumors. However, those research techniques tend to have issues such as identifying effective ways for obstructing malicious rumors and difficulty in minimizing the negative influences. So need for a classifier that will give greater accuracy to solve this problem. Improved Adaboost using Probabilistic Weight Updation and Pruned Stacking algorithm are proposed in this paper to attain a high prediction rate of rumor detection. Proposed algorithms and AdaBoost are investigated using a publicly available PHEME Journal
Herschel Observations of Protoplanetary Disks in Lynds 1641

We analyze Herschel Space Observatory observations of 104 young stellar objects with protoplanetary disks in the ∼1.5 Myr star-forming region Lynds 1641 (L1641) within the Orion A Molecular Cloud. We present spectral energy distributions from the optical to the far-infrared including new photometry from the Herschel Photodetector Array Camera and Spectrometer at 70 μm. Our sample, taken as part of the Herschel Orion Protostar Survey, contains 24 transitional disks, 8 of which we identify for the first time in this work. We analyze the full disks (FDs) with irradiated accretion disk models to infer dust settling properties. Using forward modeling to reproduce the observed n K S − [ 70 ] index for the FD sample, we find the observed disk indices are consistent with models that have depletion of dust in the upper layers of the disk relative to the midplane, indicating significant dust settling. We perform the same analysis on FDs in Taurus with Herschel data and find that Taurus is slightly more evolved, although both samples show signs of dust settling. These results add to the growing literature that significant dust evolution can occur in disks by ∼1.5 Myr.
Progress of Near-Infrared-Based Medical Imaging and Cancer Cell Suppressors

Diffuse optical tomography, an imaging modality that utilizes near-infrared light, is a new way to assess soft tissue. It provides a non-invasive screening of soft tissue, such as the breast in females and prostate in males, to inspect the existence of cancer. This new imaging method is considered cost-effective and preferred because the implementation is simply through the application of a laser or light-emitting diode as a light source. Near-infrared technology does not only offer cancer screening modality, but also acts as a cancer treatment method, called near-infrared photoimmunotherapy. Despite plentiful studies in the area of near-infrared technology for cancer imaging and cancer cell suppression, there is no consolidated review that provides an overview of near-infrared application in cancer cell imaging and therapy. The objective of this study is to review near-infrared-based medical imaging and novel approaches to eradicate cancer cells. Additionally, we have discussed prospective instrumentation to establish cancer therapeutics apparatuses based on near-infrared technology. This review is expected to guide researchers implementing near-infrared for a medical imaging modality and cancer suppression in vitro, in vivo, and in clinical settings.
Domestic dog and alien North American mink as reservoirs of infectious diseases in the endangered Southern river otter

Introduced alien carnivores are host to infectious diseases that may become an important threat for native carnivore species conservation. Canine distemper virus (CDV) is thought to be transmitted among individuals by direct contact and to present viral dynamics associated with a density-dependent multi-host carnivore community. In contrast, Canine Parvovirus (CPV) is mostly transmitted by indirect contact and does not depend only on the density, but also on the social behaviour of infected as well as susceptible hosts. The objective of this study was to assess how introduced American mink ( Neovison vison ) can act as a bridge-host between domestic dog ( Canis familiaris ) and Southern river otter ( Lontra provocax ) in different dog and mink population density scenarios. Our data show that otters are seropositive to both CDV and PV, as well as a molecular identity to Parvovirus in dogs and minks. Furthermore, a strong positive correlation between dog population density and observed seroprevalence of CDV in dogs, minks, and otters was recorded. For Parvovirus, the observed seroprevalence in mink and otters was not correlated to a higher dog population density, but instead a relationship between dog and mink population densities and social behaviour. Our results suggest that introduced American mink and domestic dogs are reservoirs of CDV and PV, both being diseases of major importance for the conservation of native endangered carnivores in Patagonia.