nils-herrmann/clean_scirepeval huggingface dataset:
Penyusunan Strategi Rantai Pasok Komoditas Sayur Menggunakan Analisis Strukur Biaya Logistik
Year: 2020

Abstrak Penelitian ini bertujuan untuk penggambaran struktur rantai pasok sayur, analisis struktur biaya logistik, dan menyusun alternatif strategi bagi tier rantai pasok sayur dalam rangka pemerataan distribusi pendapatan dan meningkatkan pendapatan petani. Total responden pada penelitian ini sebanyak 197 orang. Metode yang digunakan untuk melakukan analisis biaya logistik adalah metode Activity Based Costing. Hasil dari penelitian ini adalah sistem rantai pasok komoditas sayur terdiri dari lima tier, dengan tier utamanya adalah petani, kelompok tani, pengepul, pedagang besar, dan pedagang kecil. Hasil perhitungan biaya logistik menunjukkan bahwa total biaya logistik sebesar Rp7.705,88/kg dengan 65,8% merupakan biaya yang berasal dari aktivitas material handling dan 34,2% lainnya adalah biaya dari aktivitas procurement, transportasi, inventory, maintenance, dan informasi. Strategi yang ditetapkan adalah sebaiknya melakukan penambahan aktivitas pasca panen pada tier petani, penerapan strategi efisien dan responsif pada tier kelompok tani, penerapan strategi pull supply chain pada tier pengepul, penerapan strategi pull push supply chain pada tier pedagang besar, serta penerapan konsep Collaborative Planning, Forecasting, and Replensihment (CPFR) pada sistem rantai pasok sayur ini.  Activity Based Costing, logistik, strategi rantai pasok sayur  This study aimed to a depiction of the vegetable supply chain structure, analysis of the logistics cost structure, and the development of alternative strategies for the vegetable supply chain tier to equalize income distribution and increase farmers' income. The total respondents in this study were 197 people. The method for analyzing logistics costs is Activity Based Costing. The results of this study showed that vegetable commodity supply chain systems consisting of 5 tiers. The main actors were farmers, farmer groups, collectors, wholesalers, and small traders. The calculation of logistics costs showed that total logistic costs were IDR 7,705.88/kg, of which 65.8% from material handling activities and another 34.2% was costs of procurement, transportation, inventory, maintenance, and information. The recommendation strategies were adding post harvest activities for farmers, applying efficient and responsive strategies for farmer groups, applying the pull supply chain strategy for collectors, applying pull push supply chain strategies for wholesalers, and applying concept Collaborative Planning, Forecasting, and Replensihment (CPFR) in the vegetable supply chain.  Activity Based Costing, logistics, vegetable supply chain strategy
ASIC Implementation of Soft Input Soft Output MIMO Detection Using MMSE Parallel Interference Cancellation
Venue: IEEE Journal of Solid State Circuits
Year: 2011

Multiple input multiple output (MIMO) technology is the key to meet the demands for data rate and link reliability of modern wireless communication systems, such as IEEE 802.11n or 3GPP LTE. The full potential of MIMO systems can, however, only be achieved by means iterative MIMO decoding relying on soft input soft output (SISO) data detection. In this paper, we describe the first ASIC implementation of a SISO detector for iterative MIMO decoding. To this end, we propose a low complexity minimum mean squared error (MMSE) based parallel interference cancellation algorithm, develop a suitable VLSI architecture, and present a corresponding four stream 1.5 mm2 detector chip in 90 nm CMOS technology. The fabricated ASIC includes all necessary preprocessing circuitry and exceeds the 600 Mb/s peak data rate of IEEE 802.11n. A comparison with state of the art MIMO detector implementations demonstrates the performance benefits of our ASIC prototype in practical system scenarios.
Study of the depth accuracy and entropy characteristics of a ToF camera with coupled noise
Year: 2020

By illuminating targets with a modulated light signal, a time of flight (ToF) camera can calculate depth maps based on the phase shifts generated by the round trip travel of the light from the targets back to the sensor. The accuracy of such depth imaging depends on the quality of the returned light. However, the calculation can be disturbed by various factors, including the external environment and the internal structure of the camera. Multiple coupled interferences can introduce noise into the depth data collected by a ToF camera in the spatial domain. It is difficult to express the relationship between the noise in depth maps and these mixed disturbances in a mathematical model. Based on the theory of differential entropy and a large amount of depth data from a ToF camera, this paper analyzes the characteristics of depth imaging entropy, proposes an evaluation method for depth image quality, and presents a multilayer perceptron model with information entropy (E MLP) trained to optimize the accuracy of depth imaging. Experimental results show that this method can significantly improve the depth accuracy in the case of mixed noise.
Fluoran salicylaldehyde hydrazone Zn(II) complexes: reversible photochromic systems both in solution and in a solid matrix
Year: 2017

Fluoran dyes have been widely used as chromogenic reagents in piezochromic and thermochromic materials due to their intrinsic halochromic properties. However, reports on fluoran based photochromic materials are still rare. In this work, a series of fluoran salicylaldehyde hydrazone Zn(II) complexes (1 Zn, 2 Zn and 3 Zn) were facilely prepared. The complexes exhibited excellent reversible photochromism with remarkable fatigue resistance both in solution and in a solid matrix. Due to the multiple colors of the fluoran parts, these complexes exhibited different colors after UV light irradiation. Particularly, a black color was obtained for 3 Zn, which is relatively infrequent because black photochromism systems are still very uncommon. The photochromic mechanism was proposed, where the tautomerism from the enol form to the keto form in the salicylaldehyde hydrazone moiety was induced by UV light irradiation, accompanied by a spirolactam ring opening reaction and yielding colored products. A smaller group adjacent to the spirolactam ring was favorable for the stability of the colored products. The influences of different metal ions and solvents on the photochromism of these complexes were also studied. Moreover, patterns were successfully visualized in thin layer silica gel that was impregnated with the complexes after UV light irradiation, which suggested that they can be promising candidates for photo patterning.
StackGAN: Text to Photo Realistic Image Synthesis with Stacked Generative Adversarial Networks
Venue: 2017 IEEE International Conference on Computer Vision (ICCV)
Year: 2017

Synthesizing high quality images from text descriptions is a challenging problem in computer vision and has many practical applications. Samples generated by existing textto image approaches can roughly reflect the meaning of the given descriptions, but they fail to contain necessary details and vivid object parts. In this paper, we propose Stacked Generative Adversarial Networks (StackGAN) to generate 256.256 photo realistic images conditioned on text descriptions. We decompose the hard problem into more manageable sub problems through a sketch refinement process. The Stage I GAN sketches the primitive shape and colors of the object based on the given text description, yielding Stage I low resolution images. The Stage II GAN takes Stage I results and text descriptions as inputs, and generates high resolution images with photo realistic details. It is able to rectify defects in Stage I results and add compelling details with the refinement process. To improve the diversity of the synthesized images and stabilize the training of the conditional GAN, we introduce a novel Conditioning Augmentation technique that encourages smoothness in the latent conditioning manifold. Extensive experiments and comparisons with state of the arts on benchmark datasets demonstrate that the proposed method achieves significant improvements on generating photo realistic images conditioned on text descriptions.
Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review
Year: 2019

Artificial intelligence methods and application have recently shown great contribution in modeling and prediction of the hydrological processes, climate change, and earth systems. Among them, deep learning and machine learning methods mainly have reported being essential for achieving higher accuracy, robustness, efficiency, computation cost, and overall model performance. This paper presents the state of the art of machine learning and deep learning methods and applications in this realm and the current state, and future trends are discussed. The survey of the advances in machine learning and deep learning are presented through a novel classification of methods. The paper concludes that deep learning is still in the first stages of development, and the research is still progressing. On the other hand, machine learning methods are already established in the fields, and novel methods with higher performance are emerging through ensemble techniques and hybridization.
Access to aidable residual hearing in adult candidates for cochlear implantation in the UK
Venue: Cochlear implants international
Year: 2016

Guidance from the National Institute for Health and Care Excellence (NICE) permits candidates to receive a cochlear implant provided they only hear sounds louder than 90 dB HL at 2 and 4 kHz. In some patients, their level of residual hearing may be sufficient to warrant the use of a hearing aid in their non implanted ear. A survey of unilaterally implanted adults indicated that those implanted since the publication of NICE guidance were almost seven times more likely to use a hearing aid than those implanted prior to this. If contralateral hearing aid use provides additional benefits over implant use alone, it may be appropriate to consider the capacity to use residual hearing following implantation when determining candidacy.
RECOGNIZING CRITERIA OF " UNITY " IN THE APPLIED AESTHETICS AND THEIR ORIGIN
Year: 2016

Nowadays in criticizing artwork, elements and principles that are crucial in creating beauty are examined. the "unity" is one of these principles, that in criticizing art form is considered as one of the most important characteristics of art work because all the elements of art are the result of unity principle. Therefore, in this study is an attempt to recognizing the theory of unity in the applied aesthetics. By studying Western theories of later writers, components and characteristics to achieve this principle were studied and continues to study the origins of this concept among Greek thinkers. The necessity of this research is to understand the applied aesthetics principles in order to achieve a proper understanding of the process and principles of art criticism and achieve common roots and factors of unity principle The results indicated that the main principle of the unity in the recent west literature, is contrast and harmony the obtained two components are to be developed in the cosmology debates, creation myths and issues related to the Greek thinker. This suggests that the whole cosmos is based on the principle of unity which requires the existence of two conflicting elements and harmony with the community to achieve such a purpose and can seen confliction to different aspects of the universe. It is a descriptiveanalytical research. Library resources were used for qualitative analysis.
Loss of Function of the Nuclear Receptor NR2F2, Encoding COUP TF2, Causes Testis Development and Cardiac Defects in 46,XX Children
Venue: American journal of human genetics
Year: 2018

Emerging evidence from murine studies suggests that mammalian sex determination is the outcome of an imbalance between mutually antagonistic male and female regulatory networks that canalize development down one pathway while actively repressing the other. However, in contrast to testis formation, the gene regulatory pathways governing mammalian ovary development have remained elusive. We performed exome or Sanger sequencing on 79 46,XX SRY negative individuals with either unexplained virilization or with testicular/ovotesticular disorders/differences of sex development (TDSD/OTDSD) We identified heterozygous frameshift mutations in NR2F2, encoding COUP TF2, in three children. One carried a c.103_109delGGCGCCC (p.Gly35Argfs*75) mutation, while two others carried a c.97_103delCCGCCCG (p.Pro33Alafs*77) mutation. In two of three children the mutation was de novo. All three children presented with congenital heart disease (CHD) one child with congenital diaphragmatic hernia (CDH) and two children with blepharophimosis ptosis epicanthus inversus syndrome (BPES) The three children had androgen production, virilization of external genitalia, and biochemical or histological evidence of testicular tissue. We demonstrate a highly significant association between the NR2F2 loss of function mutations and this syndromic form of DSD (p 2.44 x 10 8) We show that COUP TF2 is highly abundant in a FOXL2 negative stromal cell population of the fetal human ovary. In contrast to the mouse, these data establish COUP TF2 as a human "pro ovary" and "anti testis" sex determining factor in female gonads. Furthermore, the data presented here provide additional evidence of the emerging importance of nuclear receptors in establishing human ovarian identity and indicate that nuclear receptors may have divergent functions in mouse and human biology.
A DNN based emotional speech synthesis by speaker adaptation
Venue: 2018 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Year: 2018

The paper proposes a deep neural network (DNN) based emotional speech synthesis method to improve the quality of synthesized emotional speech by speaker adaptation with a multi speaker and multi emotion speech corpus. Firstly, a text analyzer is employed to obtain the contextual labels from sentences while the WORLD vocoder is used to extract the acoustic features from corresponding speeches. Then a set of speaker independent DNN average voice models are trained with the contextual labels and acoustic features of multi emotion speech corpus. Finally, the speaker adaptation is adopted to train a set of speaker dependent DNN voice models of target emotion with target emotional training speeches. The target emotional speech is synthesized by the speaker dependent DNN voice models. Subjective evaluations show that comparing with the traditional hidden Markov model (HMM) based method, the proposed method can achieve higher opinion scores. Objective tests demonstrate that the spectrum of the emotional speech synthesized by the proposed method is also closer to the original speech than that of the emotional speech synthesized by the HMM based method. Therefore, the proposed method can improve the emotion express and naturalness of synthesized emotional speech.
Extreme M quantiles as risk measures: From $L^{1} to $L^{p} optimization
Venue: Bernoulli
Year: 2019

The class of quantiles lies at the heart of extreme value theory and is one of the basic tools in risk management. The alternative family of expectiles is based on squared rather than absolute error loss minimization. It has recently been receiving a lot of attention in actuarial science, econometrics and statistical finance. Both quantiles and expectiles can be embedded in a more general class of M quantiles by means of Lp optimization. These generalized Lp quantiles steer an advantageous middle course between ordinary quantiles and expectiles without sacrificing their virtues too much for 1 p 2. In this paper, we investigate their estimation from the perspective of extreme values in the class of heavy tailed distributions. We construct estimators of the intermediate Lp quantiles and establish their asymptotic normality in a dependence framework motivated by financial and actuarial applications, before extrapolating these estimates to the very far tails. We also investigate the potential of extreme Lp quantiles as a tool for estimating the usual quantiles and expectiles themselves. We show the usefulness of extreme Lp quantiles and elaborate the choice of p through applications to some simulated and financial real data.
The taxonomy of Crowdfunding An actualized overview of the development of internet crowdfunding models
Year: 2019

ion signify formulating a general description of the research topic through generating categories. The abstraction process continues as far as possible to find subordinate categories  (Elo Kyngas, 2008) The taxonomy of crowdfunding 19  The abstraction process involves finding as many subcategories as possible.  These fifteen excluded platform's webpages most commonly offered some sort of platform or software program for accredited investors. If these The taxonomy of crowdfunding 20 fourteen platforms still would have been included in the analysis of this study, they most likely would have fitted into the criteria for equity based crowdfunding and lending based crowdfunding. The second list used in this study is a Wikipedia page under the category of "Crowdfunded projects" called "List of highest funded crowdfunding projects" The list shows 174 of the highest funded crowdfunding campaigns and the platforms these campaigns where executed on. "List of highest funded crowdfunding," 2019) Most of the platforms on this list were represented on the first list but additional eight CFPs were extracted and added to the study. Some of the projects on the second list turned out to have had their respective campaign executed not on a platform per se, but on their webpage, and was therefore not included in the study. 3.3 The method of this study The study followed a deductive approach because of its base in prior research  There were three phases of the study that are described below.  The red part of the model shows the deductive approach taken by this study.  Their latest report from 2015 is a comprehensive report that covers a lot of areas when it comes to crowdfunding. The method used by the report has mainly been an industry survey conducted via the website crowdsourcing.org that received responses from 463 active crowdfunding platforms worldwide.  The study has aimed to find as many different models and taxonomies for crowdfunding as possible. In some studies, certain models where mentioned that where not mentioned in other studies and vice versa. None of the taxonomies found included every single model described across all different studies gathered. When all models found in prior studies where collected, this study had a set of models that was therefore more diverse than any prior taxonomy. It was also important, for reliabilityreasons, to extract a suitable generic definition of all crowdfunding models across prior studies. Although the definitions where similar across studies, some definitions where viewed as more precise and therefore included by this study. This could be argued to have been somewhat arbitrary choices made by this study, but the aim has been at making those choices as careful as possible.  There are advantages of applying a content analysis, but there are also some limitations to the method and important weaknesses that should be highlighted. One weakness is that qualitative content analysis is a very flexible method, which means that there are no rigid sys
A Comparative Research on Cultural Values in Chinese and American Advertisements
Year: 2018

The paper is based on the research of Greet Hofstede's Model of Cultural Dimensions and Edward. T. Hall's Context Culture Theory. According to their theories, the author focuses on four dimensions (context culture, power distance, long term versus short term orientation to time, and individualism versus collectivism) to compare differences between Chinese and American cultural values in advertising. Therefore, this paper aims to reduce barriers existing in the process of cultural communication, strengthen the understanding of multi culture, and facilitate the mixture of cultural exchange.
Distance gradient based variogram and Kriging to evaluate cobalt rich crust deposits on seamounts
Year: 2017

The spatial distribution of cobalt rich crust thicknesses on seamounts is partly controlled by water depth and slope gradients. Conventional distance direction based variogram have not effectively expressed the spatial self correlation or anisotropy of the thicknesses of cobalt rich crusts. To estimate resources in cobalt rich crusts on seamounts using geostatistics, we constructed a new variogram model to adapt to the spatial distribution of the thicknesses of the cobalt rich crusts. In this model, we defined the data related to cobalt rich crusts on seamounts as three dimensional surface random variables, presented an experimental variogram process based on the distance gradient or distance "relative water depth," and provided a theoretical variogram model that follows this process. This method was demonstrated by the spatial estimation of the thicknesses of cobalt rich crusts on a seamount, and the results indicated that the new variogram model reflects the spatial self correlation of the thicknesses of cobalt rich crusts well. Substituted into the Kriging equation, the new variogram model successfully estimated the spatial thickness distribution of these cobalt rich crusts.
Effects of Food Safety and Food Security on the Economic Transformation of Nigeria
Year: 2016

Food safety and food security is a determinant of the well being of the citizens of a country and how it translates to the development and transformation of the economy in a country specifically Nigeria was critically examined. Recent FAO figures indicate that over 60% of the world undernourished people live in Asia, and a quarter in Africa. Also there are 22 countries, 16 of which are in Africa, in which the undernourishment prevalence rate is over 35% Hunger, food insecurity (chronic or transitory) malnutrition involving micronutrient malnutrition (MNM) and protein energy malnutrition (PEM) are some of the issues arising from food insecurity. Lack or absence of minerals and vitamins like Iodine, Iron and Vitamin A affects the growth and development of humans. The study revealed that several factors contributing to food insecurity includes wars, natural disasters, unemployment inadequate technological deployment and high post harvest losses. Steps were taken to examine how agriculture contributes to food security, effects of various policies by past and present government on the food security and food safety situation in Nigeria. Also the emerging issue in combating food insecurity especially the use of biotechnology was further explained. Useful recommendations for enhancement of food security and safety includes: reduction of post harvest losses through proper utilisation, processing and packaging of agricultural products, food fortification and supplementation to combat micronutrient and protein energy malnutrition, increased use of biotechnology; formulation of good agricultural policies including creation of agric cooperatives and the new Nigerian Agricultural Transformation Agenda (ATA) that can lead to transformation of the economy.