Miracle-dz/UniFAR-FTUs huggingface dataset:
ABOUT CARBON EMISSION EFFICIENCY IN CHINA BASED ON A NOVEL SUPER EPSILON-BASED MEASURES ( SEBM ) MODEL

With China’s rapid economic development, the carbon emission has become a serious issue and the evaluation of carbon emission efficiency has drawn the attention of academia. Although the Data Envelopment Analysis (DEA) method is widely used in determining carbon emission efficiency, there are many limitations in the traditional DEA mathematical models including the original elements information loss due to the change of the proportion of the elements, too narrow efficiency boundaries, and the existence of undesirable outputs. As a result, a novel super epsilon-based measures (SEBM) carbon emission efficiency evaluation model is expected to overcome the limitations in the traditional carbon emission efficiency determination models, based on which the carbon emission efficiency of China is analyzed from time and spatial dimensions respectively. Finally, contrastive empirical analysis results of SEBM model and other classical DEA models indicate that the former has remarkable superiority over the other models. Based on the experimental results, it is found that China’s carbon emission efficiency is inversely proportional to the level of economic development, and carbon emission efficiency values in China have generally increased, which highlights the significance of energy-saving emission reduction policies.
Lecture management of parallel classes in a blended learning style : The case of Digital Signal Processing I as a compulsory course

: This paper introduces an implementation of a compulsory course, ‘‘Digital Signal Processing I,’’ in a blended learning style. This subject is delivered by two lecturers as weekly parallel classes using the same e-learning contents including online quizzes for weekly homework. This sophomore-level basic course is compulsory for all the students of the Department of Computer Science and Electrical Engineering, Kumamoto University. The course has been assessed over several years from the students’ activities on an e-learning system and the ﬁnal record of this course as well as a questionnaire-based survey. The averages of the total grades for both classes are almost the same and the distributions of the evaluation scores have a similar pattern. These tendencies suggest the usefulness of the teaching style for maintaining the equivalence of the subject provided in parallel classes by diﬀerent lecturers.
Estimating Option Values and Spillover Damages for Coastal Protection: Evidence from Oregon’s Planning Goal 18

Estimating nonmarket benefits for erosion protection can help inform better decision making and policies for communities to adapt to climate change. We estimate private values for a coastal protection option in an empirical setting subject to irreversible loss from coastal erosion and a land-use policy that provides identifying variation in the parcel-level option to invest in protection. Using postmatching regressions and accounting for potential spillovers, we find evidence that the value of the erosion protection option is between 13% and 22% of land price for parcels vulnerable to coastal hazards, implying that owners of oceanfront parcels have a subjective annual probability that they will experience an irreversible loss absent the option to protect between 0.7% and 1.3%. We also find that, because of altered shoreline wave dynamics, a parcel with a private protection option generates a spillover effect on protection-ineligible neighbors, lowering the value of neighboring land by 8%.
Cross-comparison of inference methods for Gaussian Graphical Model Bachelor ’ s Project Mathematics

In Gaussian graphical modeling statistics and graph theory go hand in hand. With applications in many fields this widely applied technique is used to estimate the partial correlations among variables of a given dataset. This thesis covers four of the popular approaches within Gaussian graphical modeling, the Moore-Penrose pseudoinverse, the Lasso (inclusion of the `1term), the shrinkage and the bootstrap approach. These four methods will be cross compared on the basis of several tests. These tests cover the accuracy of the estimation, the computational speed and the user friendliness of each method. The first test is based on randomly generated datasets of which the true partial correlations are know. Every tested method is then applied to two datasets extracted from the R package ’GeneNet’. In the last section of this thesis it is concluded that, despite a high demand on the computational cost, the Lasso approach supplies the user with the most accurate estimation. However it has to be noted that it is suspected that the shrinkage approach did not achieve its full potential due to mistakes made along the journey of programming.
Organizational Adaptation , and the Separation of Ownership and Managerial Control

The paper contributes to the literature on how capital market pressures impact organizational adaptation. We propose that private and public firms differ in the evaluation and selection of new proposals. The separation of ownership and control in public firm not only creates conflicts of interests, the focus of much of prior work, but even more so leads to differences in the assessment of strategic proposals with uncertain prospects. In a public firm, proposal implementation depends on the agreement of both managers and owners. We explore this mechanism with a NK model, a formal platform widely used in the study of organizational adaptation. Our results confirm the short-term bias of public firms documented in the empirical literature. Public firms tend to improve performance faster than private firms. We also find that public firms exhibit long-term performance advantages in low complexity environments. These results confirm existing empirical results and thereby speak in favor of the external validity of our model. We further find that public firms are more effective in combining local and more distant search, giving rise to adaptive benefits of public firms in highly complex task environments. The adaptive benefits of public companies are further strengthened in environments with strong selection pressures in the product market.
A Meta-Analysis of Randomized Placebo Controlled Trials of Antidepressant Medications in Depressed Children : Do the Benefits Justify the Risks ?

* The Children's Mercy Hospital, Section of Developmental & Behavioral Sciences and Gastroenterology, Kansas City, Missouri, USA. † Fielding Graduate University & University of Nevada School of Medicine, Reno, Nevada, USA. e-mail: oliver2@aol. com ‡ Harvard Medical School Beth Israel Deaconess Medical Center, Brookline Depression affects a substantial portion of children and adolescents. Although most youngsters do not receive any intervention, the introduction of antidepressant medications has drastically affected the manner in which depressed children and adolescents are treated. Important questions have been raised about both the empirical support for and safety of using SSRIs in this population. Thus, the goal of the current study was to quantify the actual benefit of antidepressant medication to children and adolescents over and above the benefit of placebo. We searched three electronic databases (MEDLINE, PubMed, and PsycINFO) using the search terms “antidepressant” and “child[ren]” or “adolescents. ” Our search yielded 14 published antidepressant trials. Another 5 unpublished trials were found on the MHRA website. Within the 19 studies, we evaluated 11 SSRI-placebo comparisons and 9 tricyclic-placebo comparisons. A statistically significant difference in depressive symptoms favoring the medication condition was reported in 1 of the 9 tricyclicplacebo comparisons, 5 of the 6 published SSRI-placebo comparisons, and 1 of the 5 unpublished SSRI-placebo comparisons. It also was determined that 84% of the response to the medications examined in these studies was duplicated by placebo, leaving a maximum of 16% attributable to a true drug effect. Results suggestive of an overall benefit of SSRI medications compared to placebo for children and adolescents should be interpreted with caution given widely held concerns about publication biases toward positive medication results, high rates of placebo response, and lack of documented clinical (as opposed to statistical) advantage of such medications. Nevertheless, instead of telling parents of depressed youngsters what to do, providers may do well to consider thoughtfully and honestly educating parents (and their children) about benefits and risks associated with both medication and non-medication treatments and letting them decide for themselves how to proceed in the care of their children.
Ultra-fast imaging with optical encoding and compressive sensing

Serial time-encoded amplified microscopy (STEAM) is an emerging technology which enables an ultra-fast phenomena to be captured at Ghz scan rate. The trade-off between high imaging speed and high spatial resolution remains a problem where the maximum scan rate is limited by the sampling rate of the digitizer and the temporal dispersion in the fiber to avoid data blending. In this paper, we address these limitations using state-of-the-art optimization algorithms under compressive sensing framework and establish the data acquisition model based on our proposed experimental setup by considering the effect of individual optical components such as laser spectral profile, encoding mask patterns, dispersion of the fiber and optical noise in the system. We introduce two methods of alternating direction method of multipliers with total variation regularization (ADMM-TV) and discrete wavelet hard thresholding (DWT-Hrd) for STEAM based imaging systems. Our results demonstrate that a 10GHz scan rate can be achieved compared to the conventional 1GHz microscopy imaging system while maintaining high image reconstruction quality in terms of structural similarity index measurement (SSIM). It is shown that among the two proposed optimization algorithms, ADMM-TV outperforms DWT-Hrd by 20% in SSIM measurements. Finally, it is shown that having 7080% light transmission through the mask reveals the optimum results in terms of reconstruction quality.
Generative Temporal Models for Cosmology Master Thesis

In order to better understand the history of the universe and dark matter distributions, cosmologists run n-body simulations. Such simulations involve large amounts of points which can all effect each other. The computations are very expensive and evaluated at discrete points in time. In this project we come up with a novel model architecture within the generative adversarial network [1] framework. The model is able to generate data for any arbitrary continuous point in time as well as more data at any other arbitrary point in time which may plausibly stem from the same sequence. While this project focused on time, the model is general enough that it could be conditioned with any continuous variable. The performance of our model matched the performance of the specialized non-continuous models we trained for the project. The generated data was analyzed from both a qualitative as well as a quantitative point of view. We also developed the mass difference histogram as a metric to analyze change over time within the n-body data.
Molecular Cloning and Expression Analysis of cDNAs Encoding Androgenic Gland Hormone Precursors from Two Porcellionidae Species

Male sexual characteristics in Crustacea are induced by androgenic gland hormone (AGH), which is produced by the male-specific androgenic gland. Recently, AGH in the terrestrial isopod Armadillidium vulgare was characterized and its cDNA cloned, the first example in which the structure of AGH was elucidated. We report here the molecular cloning of cDNAs encoding AGH precursors from two additional terrestrial isopods, Porcellio scaber and P. dilatatus . cDNA fragments encoding Porcellio scaber AGH (Pos-AGH) and P. dilatatus AGH (Pod-AGH) were amplified by RT-PCR using degenerate oligonucleotide primers designed based on the amino acid sequence of A. vulgare AGH (Arv-AGH). Subsequently, full length cDNAs were obtained by 5'and 3'-RACE. Both AGH precursors consisted of a signal peptide, B chain, C peptide and A chain, and exhibited the same organization as that of Arv-AGH. The amino acid sequences of the A and B chains, which comprise mature AGH peptide, were highly conserved among the three species, while that of the C peptide showed only low sequence similarity. In Northern blot analysis, each cDNA fragment used as a probe specifically hybridized with a single band (0.75 kb) in mRNA extracted from whole male reproductive organs. In analysis of the tissue-specific gene expression of these two AGHs by RT-PCR, it was revealed that both AGH transcripts were detected only in cDNA synthesized using total RNA from the testis carrying the androgenic glands, but not in that from testis only, seminal vesicle, vas deferens, or hepatopancreas.
Occupational Choice and Social Contacts Across Regions October 2008

This paper tests the importance of social contacts on entrepreneurship. To measure differences in the interconnectedness of social contacts, we compare rural and agglomerated areas. A smaller community size in rural areas generates greater network closure. Agents’ neighborhoods are more likely to overlap, which intensifies social contacts and thus facilitates resource mobilization. Analyzing the impact of social contacts across regions, we find that greater network closure increases the likelihood of being an entrepreneur by 1.9 to 14.2 percentage points, depending on the number of underlying social contacts. These results remain robust after applying matching techniques and concentrating on young entrepreneurs. JEL-classification: J 24; Z13
Update phylogenetic information of the local varieties of cloves ( S yzygium aromaticum ) from North Maluku , Indonesia based on ITS sequences data

Sundari, Nurhasanah, Mas'ud A, Amin M, Arumingtyas EL, Azrianingsih R. 2019. Update phylogenetic information of the local varieties of cloves (Syzygium aromaticum) from North Maluku, Indonesia based on ITS sequences data. Biodiversitas 20: 15101515. Clove (Syzygium aromaticum L. Merr & Perry) is a native spice plant species in Indonesia, especially Maluku and North Maluku. The phylogenetic relationship among local varieties of cloves in North Maluku, Indonesia is currently unclear; therefore molecular verification research is required for further conservation and breeding programs. This study aims to identify the taxonomic position and phylogenetic relationship among two valuable local varieties of cloves from North Maluku, i.e., ’Afo’ and ’Sibela’, based on ITS sequences data. Afo clove is considered as the oldest clove native to Ternate island, and Sibela clove is the oldest clove native to Bacan Island. The phylogenetic analysis using both Maximum Parsimony and Neighbour Joining algorithms confirmed the monophyletic group of cloves (S. aromaticum) and separated to outgroup of Eugenia species. Both phylogenetic trees produced three clades with the same pattern and supported by strong bootstrap values of 99-100%.
Three degrees of Freedom Thermal

A novel thermal actuator has been designed and fabricated. The proposed microstructure has three degrees of freedom and as such can have displacements simultaneously in the X, Y and Z-axis. The operation of the microactuator is based on thermal expansion of polyimide. The displacement in the three axes is obtained by placing individually controllable heaters on the polyimide surface such that they produce localized expansion. The performance of the microactuator was evaluated by using the physical properties of materials and finite element analysis (FEA) using ANSYS software. The effects of shape, size, and the material properties of the actuator as well as the heater elements were analyzed and optimal designs were derived. The fabrication process sequence was detailed.
PENERAPAN MODEL AUTOREGRESSIVE FRACTIONALLY INTEGRATED MOVING AVERAGE ( ARFIMA )

The economic stability is one problem in developing countries, such as Indonesia. In 1998 Indonesia experienced a monetary crisis which caused the banking crisis and the other field crisis. The government and private institution took various monetary policies to rebuild the economic downturn of Indonesia. One of the operational targets in monetary policies is short-term interest rates such as the interbank money market (PUAB) that affected the level of price stability. PUAB interest rates tend to fluctuate. This caused to difficult to forecast the interest rates in the future. Whereas this forecast is important as refferences to some PUAB activities. Therefore, it's an interesting problem to forecast the PUAB. This research aims to find the best model on the overnight interbank rate. We use PUAB data in 2000 until 2009. The autocorrelation function (ACF) plot of PUAB is hyperbolic, this shows that the PUAB interest rate has a long term dependency. It’s supported by the result of Hurst statistics test. So the ARFIMA model is appropriate to model this rate. Based on the Geweke and Porter Hudak (GPH) method, the parameter d of the ARFIMA model is 0.3773139 and based on the smallest AIC, the best ARFIMA model is (0; 0.37773139; 1). The forecasting using the best model for this rate for the period of the quarter I, II and III in 2010 respectively are 6.27363%, 6.21931%, and 6.14422 % with 0.9% the value of MAPE.
Polarized emission from CsPbBr 3 nanowire embedded-electrospun PU fi bers

Interest in all-inorganic halide perovskites has been increasing dramatically due to their high quantum yield, band gap tunability, and ease of fabrication in compositional and geometric diversity. In this study, we synthesized several hundreds of nanometer long and ∼4 nm thick CsPbBr 3 nanowires (NWs). They were then integrated into electrospun polyurethane (PU) fibers to examine the polarization behavior of the composite fiber assembly. Aligned electrospun fibers containing CsPbBr 3 NWs showed a remarkable increase in the degree of polarization from 0.17–0.30. This combination of NWs and PU fibers provides a promising composite material for various applications such as optoelectronic devices and solar cells.
EXPORT DIVERSIFICATION 1 AND ECONOMIC GROWTH IN TRANSITION : 2 LESSONS FROM THE 2008 FINANCIAL CRISIS IN CEE 3

This paper examines the role of export diversification for 8 economic growth in CEE transition economies. The results prove that before 9 the outbreak of 2008 financial crisis export specialization rather than 10 diversification was an important growth factor, especially in those countries 11 which followed more specialized export patterns. However, after the outbreak 12 of the crisis the direction of this causal link changed essentially. All three 13 main aspects of export diversification turned out to play a significant role in 14 reducing the growth slowdown effects of the 2008 financial crisis. 15
Economize on Knowledge or Capitalize on Intellectuality : Educational Challenges for Economic Growth in the Turkish Republic of Northern Cyprus *

Intellectual capital appears as the most important component of knowledge economy. It is very well known in the knowledge management literature that knowledge has become an engine of social, economic and cultural development in today’s world. Thus, education is a vitalfactor for the accumulation of intellectual capital to reach economic growth. There are thirteen universities in the Turkish Republic of Northern Cyprus (TRNC), and higher education is a major sector. Income generatedfrom the education sector as well as the accelerating number of universities are two important factors which TRNC government should pay attention to in regards to education and knowledge creation activities. The study aims to emphasize the importance of knowledge economy and to create both public and government awareness particularly for TRNC and for other small economies as well. The Engle-Granger Causality test in VAR model was used to analyse the causal relationship between education and economic growth in TRNC and the results indicate a positive impact of knowledge economy variables on the economy’s productivity level. Literacy rate, general and technical high school enrolment rate and higher education enrolment rate is Either Economize on Knowledge or Capitalize on Intellectuality: Educational Challengesfor. Ya Bilgi Üzerine İktisadileş ya da Entelektüalite Üzerine Sermayeleş: Kuzey Kıbrıs Türk,,,______________ 167 used as knowledge economy variables. Furthermore, the extended Cobb-Douglas production function is appliedfor the 1977-2010 period and emphasizes the increasing returns to scale in the production process within a given period in TRNC. Overall results show that the TRNC economy has a potential to become a knowledge economy.
Interactive comment on “ Comparison of Different Sequential Assimilation Algorithms for Satellite-derived Leaf Area Index Using the Data Assimilation Research Testbed ( lanai ) ” by XiaoLu

The submitted paper uses four assimilation methods(KF, EnKF, EAKF and PF) and CLM4CN to assimilate LAI, and chooses a best assimilation method by comparing with MODIS LAI. MODIS satellite remote sensing data can obtain LAI products with long time series. However, due to the impacts of cloud cover, aerosols, snow cover, and sensor failure, MODIS LAI products are characterized by high noise, low accuracy, and large fluctuations in the time series. Therefore, MODIS LAI data with better quality should be selected as observations based on quality control (QC) information. The research objective is reasonable and the review portion and figures need to be improved.
3 Addressing the Enigma of MCM 8 in DNA Replication

MCM8 is a relatively new protein about which little is currently known regarding its function within the cell. Even so, there is controversy surrounding what its role might be in DNA replication. In this chapter, information regarding the role of MCM8 in DNA replication gleaned from studies carried out in different species will be discussed. In addition, sequence differences in the protein, itself, among different species will be presented. This review will focus on MCM8 in three species, Homo sapiens, Xenopus laevis and Drosophila melanogaster, since the bulk of published experimental data was obtained using these organisms.
EasyChair Preprint No 295 Gait Estimation and Analysis from Noisy Observations

People’s walking style – gait – can be an indicator of their health as it is affected by pain, illness, weakness, and aging. Gait analysis aims to detect gait variations. It is usually performed by an experienced observer with the help of cameras, sensors, or other devices. Frequent gait analysis, to observe changes over time, is costly and impractical. Here, we first discuss estimating gait movements from predicted 2D joint locations that represent selected body parts from videos. Then, we use a long-short term memory (LSTM) regression model to predict 3D (Vicon) data, which was recorded simultaneously with the videos as ground truth. Feet movements estimated from video correlate highly with the Vicon data, enabling gait analysis by measuring selected spatial gait parameters (step and cadence length, and walk base) from estimated movements. Using inexpensive and reliable cameras to record, estimate and analyse a person’s gait can be helpful; early detection of its changes facilitates early intervention.