Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation on the Reasons of Water Shield Reduced Production and Discussion Improving Methods in Wuling Mountain Area

The present work focus on the reasons of water shield(Brasenia schreberi)reduced production and improving methods based on field investigation and formerly literatures in Wuling mountain area.The mainly reasons are deterioration ecological environment around the water shield field,simple composed of species,and weakly resisted disturbance.Lower genetic diversity of water shield can't withstand of diseases and insect pests attack.Slime hairs haven't cuticle protection and the membrance can't tolerant ions stress in water.Water shield is a minor crop but still didn't found high-yield cultivation model.It's suggested that emphasize the ecological environment protection about the fields of water shield.Establish global germplasm resources and breeding base of water shield,and study rejuvenating techniques.Create properly cultivation model according to rational number of population,and water and fertilizer management measures,and water shield-dry crops rotation system or fallow.
Simulation of RNA sequencIng with Oxford Nanopore Technologies

Background Oxford Nanopore Technologies (ONT) platforms produce reads order of magnitudes longer than previous generation of sequencers such as Illumina (several tens to thousands of base pairs). The unprecedented long range information these reads provide is currently used to better solve genomic assembly. However, these sequences suffer from high error rates (com-monly above 10%) and complex error profiles: insertions and deletions are more common than in short reads and homopolymer regions are plagued by non stochastic errors due to the difficulty to estimate their length using ONT technology.
Research on nitrogen and phosphorus load of agricultural non-point sources in middle and lower reaches of Hanjiang River besed on GIS

According the requirements of agricultural non-point source (AGNPS) pollution in middle and lower reaches of Han River, the agricultural non-point source pollution information system was designed and developed based on observing data in the field and the basic geographical and agricultural environmental data.By this system, the load and spatial distribution of agricultural non-point source pollution with integrating GIS and mathematical model in middle and lower reaches of Hanjing River were researched.
Current Status of Petroleum-Contaminated Soils and Sediments

The first national census of pollution sources was just done.Though its investigation was focused on heavy metal pollution and gas emission,it was found that,the oil emission as one major source of organic pollutants,reached to 782.1 thousand tones,4.35‰ amount of the total annual production in China,which was not an optimistic situation.Thus it is very necessary and urgent to make a timely summary because so much toxic compounds could be harmful to human beings,fragile environment and ecology system.This paper introduced in detail the global petroleum pollution from the components and categories,the potential harmful impact of petroleum,the recent researches on the toxic and harmful materials of petroleum,such as polycyclic aromatic hydrocarbons,sulfides and nitrides,heavy metals,and the impact of the process flows including prospecting,exploitation,gathering and transportation,refining,storage and sale in petroleum industries.We especially emphasized on our national petroleum-contaminated soils and sediments,and significantly introduced the current status of Songliao basin,Jiyang sag,Tarim basin,Bohai oil area.One of the most serious pollution sources caused by chemical additives in petroleum prospecting and exploitation was also introduced for a reference of interested stakeholders.
Digital Storytelling Media by Paired Storytelling Model to Improve Speaking Skills

This research develops digital storytelling (DST) media with paired storytelling model. Specifically, this study aims to describe the process and quality of DST media development with a paired storytelling learning model to improve the speaking skills of grade II students of SDI Annur. This type of research is research and development. The research subjects were SDI Annur class II students. The data collection technique was through observation, interviews, questionnaires, and oral tests. Data analysis of the development process was carried out through descriptive techniques and to measure the quality of development was carried out through quantitative descriptive technique. Based on the results of the study, the validity of DST media obtained 89% with very valid criteria. The practicality of DST media gained 89,3% with very practical criteria. The effectiveness of DST media gained 85% with very effective criteria. So it can be concluded that the digital storytelling media developed by the researcher is considered very feasible as a medium to improve the speaking skills of second grade students of Annur Surabaya Islamic Elementary School. Keywords—Digital storytelling media; Paired storytelling model; Speaking skill.
Hydroacoustic survey of fish resource and spatial distribution in Hongfeng Lake

We observed the fish resource in Hongfeng Lake in Guiyang city during September~December,2010 and April~June,2011.Twenty-eight species which belong to 4 orders and 6 families were caught.The fish body length ranges from 5.68 cm to 116.41 cm,and that in dominant body length group is 11.00~30.00 cm;small,large and medium-sized fish are in the majority.Moreover,we used BioSonics DT-X digital scientific echosounder with 200 kHz split beam transducer to investigate the fish density in June,2011.The average fish density is(51.64±36.49)×10-3 ind · m-3 and significant difference in fish density is found in different areas,with the maximum at Zone Jiangjunwan [(97.25±12.35)×10-3 ind · m-3] and the minimum at Zone Daba [(14.90±2.56)×10-3 ind · m-3]. From Daba to Jiangjunwan,the density of fish resource shows an increasing trend.The fish mainly distribute in 6~15 m.The fish density is signifcantly different among different water layers.
Acceptability of a Plasticity-Focused Serious Game Intervention for Posttraumatic Stress Disorder: User Requirements Analysis

Background Trauma-focused cognitive behavioral therapy (TF-CBT) is a first-line treatment for posttraumatic stress disorder (PTSD). Despite a solid evidence base, TF-CBT response and attrition rates vary considerably. Plasticity-focused interventions, including the use of serious games, have the potential to improve TF-CBT response and treatment retention. Objective The aim of this study was to assess the acceptability of a mobile phone–delivered plasticity-focused serious game to improve response to TF-CBT for PTSD, and carry out a user requirements analysis should the development of a prototype be warranted. Methods We conducted 2 one-to-one interviews (n=2), one focus group involving service users who had received a diagnosis of PTSD (n=3) and one focus group involving psychological trauma service clinicians (n=4). Results We found that the concept of a plasticity-focused mobile phone intervention for PTSD is acceptable to patients and clinicians. Service users and clinicians both believed that the usage should be guided by a therapist, and both contributed useful inputs regarding the audiovisual aspects of the proposed serious game. It was accepted that the game would not be suitable for all patients and that clinicians would need to appropriately prescribe the usage of the game. Conclusions The findings highlight the acceptability of the proposed serious game and clarify the user requirements for such an intervention. It is the intention of the authors to carry out a user experience evaluation using a prototype serious game in a clinical population.
SMALL AREA ESTIMATION TERHADAP PENGELUARAN PER KAPITA DI KABUPATEN SUMENEP DENGAN METODE EMPIRICAL BAYES

Indeks Pembangunan Manusia (IPM) merupakan salah satu tolok ukur yang digunakan untuk mengetahui pembangunan manusia dari suatu negara. Setiap tahun dilakukan perhitungan nilai IPM di Indonesia sampai pada skala kabupaten. Akan tetapi, sejak diterapkannya kebijakan otonomi daerah, dibutuhkan perhitungan nilai IPM dengan skala lebih kecil yakni kecamatan. Namun perhitungan nilai IPM dengan skala kecamatan sulit dilakukan karena kurangnya sampel untuk mengestimasi nilai IPM per kecamatan. Salah satu komponen untuk menghitung nilai IPM adalah indeks daya beli yang didekati dengan nilai pengeluaran per kapita. Salah satu cara untuk mengestimasi nilai parameter dari subpopulasi ialah dengan estimasi tidak langsung dengan pendekatan Small Area Estimation menggunakan metode Empirical Bayes dan menggunakan pendekatan Jackknife untuk mengoreksi nilai MSE. Penelitian ini bertujuan mengestimasi pengeluaran per kapita dengan pendekatan Small Area Estimation - Empirical Bayes di Kabupaten Sumenep. Hasil penelitian didapatkan nilai RRMSE dari model Small Area Estimation lebih kecil daripada nilai RRMSE estimasi langsung, hal ini menunjukkan bahwa model Small Area Estimation lebih baik daripada estimasi langsung dalam mengestimasi nilai pengeluaran per kapita setiap kecamatan di Kabupaten Sumenep.
Hierarchical Generalization Models for Cognitive Decision-making Processes

ii Acknowledgements . v Vita . vi List of Tables . xi List of Figures . xiv Chapter 1: Introduction . 1 1.1 From generalizability to generalization criterion . 1 1.2 Hierarchical Generalization Models . 9 1.2.1 Basic ideas . 9 1.2.2 Operationalization of generalization assumptions . 12 1.3 Purpose of study . 16 Chapter 2: Decision-from-experience Experiments and Modeling . 18 2.1 Decision-from-experience paradigms . 18 2.2 Modeling decision-from-experience paradigms . 21 2.2.1 Theoretical issues . 21 2.2.2 Models for decision-from-experience data . 24 2.2.3 Model comparison and integration across tasks . 26 2.3 Individual differences in decision-from-experience data . 29 Chapter 3: Hierarchical Bayesian Modeling for Risky Choice Experiments . 32 3.1 Hierarchical Bayesian modeling . 32 ix 3.1.1 Graphical representation of hierarchical Bayesian modeling . 35 3.1.2 Estimation of hierarchical Bayesian models . 38 3.1.3 Model comparison . 41 3.2 Hierarchical Bayesian modeling adaption of CPT. 43 3.3 Implementation of hierarchical generalization models . 48 Chapter 4: Part I – Simulation Study . 53 4.1 Study 1: Parameter Recovery Study . 53 4.1.1 Fully generalizable model . 54 4.1.2 Partially generalizable model . 56 4.2 Study 2: Model Recovery Study . 58 4.2.1 Fully generalizable models . 61 4.2.2 Partially generalizable models . 64 4.2.3 Estimation of DIC differences . 67 Chapter 5: Part II – Secondary Data Analysis . 72 5.1 Technion Prediction Tournament . 72 5.2 Models from TPT . 74 5.2.1 CPT-based models . 76 5.2.2 Natural-mean heuristic . 77 5.3 Study 3: HGM comparison of CPT-based models . 81 5.3.1 Data summary . 81 5.3.2 Models. 82 5.3.3 Results and discussion . 84 5.4 Study 4: HGM comparison between CPT and heuristics . 88 5.4.1 Models. 88 x 5.4.2 Results and discussion . 90 Chapter 6: General Discussion.97 6.1 Executive summary . 97 6.2 Main findings and implications . 101 6.2.1 Hierarchical Bayesian modeling for theory testing . 101 6.2.2 Performance of hierarchical generalization models . 103 6.3 Limitations and future work. 104 6.4 Conclusion . 106 References . 107 Appendix A: Additional Simulation Results in Study 2 . 116 Appendix B: Scripts for R and JAGS . 120 B.1 Example of data generation . 121 B.2 Example of fitting simulation data and calculating DIC values. 123 B.3 Examples of CPT-based hierarchical generalization models . 125 m-pow-TK-pow-TK.txt . 125 m-pow-TK-pow-pow.txt . 128 B.4 Example of fitting TPT data and calculating DIC values . 131 B.5 Example of hierarchical generalization models in Study 4 . 133 CPT_tr-nm_tr. txt . 133
Late Miocene magmatism and evolution of Zhenbei-Huangyan Seamount in the South China Sea: evidence from petrochemistry and chronology

E-W trending Zhenbei-Huangyan Seamount at about 15°N in the South China Sea Basin was considered to be ancient spreading axis.Two samples(9DG,9DG-2) were dredged from Huangyan Seamount in 2005 and detail petrological,geochemical and chronological analyses were conducted.The samples are characterized by high contents of silica,aluminium,potassium,sodium and the low content of titanium,with contents of 60.3% and 63.6% for SiO2,17.56% and 17.55% for Al2O3,0.48% and 0.31% for TiO2,and the alkalinity ratios and 3.88 and 3.62. Based on petrological and petrochemical classification,the two samples are trachyte and belong to the alkaline series.Their REE and trace element distribution patterns are similar to oceanic island basalt(OIB),but with higher LREE content and lower contents of europium,srtontium,phosphorus and titanium.Strontium-neodymium-lead isotope analysis shows that the content ratioes 87Sr/86Sr=0.704 183,206Pb/204Pb=18.686 68,207Pb/204Pb=39.002 61,and 143Nd/144Nd=0.512 827,respectlvely,which indicates that magmas were derived from the mixture of DM(depleted mantle) and EMⅡ(enriched mantle Ⅱ). According to potassium-argon dating,the samples were formed(7.77±0.49)Ma ago,a bit later than the basalts [(9.1±1.29)～(10.0±1.80)Ma] from Zhenbei Seamount.Compared with geochemical and isotopic features of the basalts from Zhenbei Seamount,it is concluded that trachyte from Huangyan Seamount was originated from the same mantle source of basalts from Zhenbei Seamount,but formed at the different evolution stages.It is suggested that during the late Miocene,there was mantle plume activity probably or athenosphere mantle upwelling along Zhengbei-Huangyan Seamount.
Saliency detection via background features

The background information is full of essential clues which could be used to distinguish the foreground from images, especially when images contain multiple targets or complex backgrounds. In this paper, we formulate the saliency detection task as a labelling problem. We propose a novel saliency detection method via fusing a set of features based on background information. We firstly extract background features referred to as uniqueness feature, dense feature, and sparse feature. Specifically, uniqueness feature is defined using the color distinction and spatial distance based on the K-means algorithm; dense feature of the background segments is calculated by the PCA algorithm; sparse feature is computed based on the sparse encode algorithm. Then we fuse these background features under the CRF frame. Finally, we evaluate our proposed method on a new constructed dataset from THUS10000, SOD and ECSSD datasets to cover different scenarios. The experimental results show that our method can be well against the previous methods in terms of precision and recall.
Unsupervised learning and rule extraction for Domain Name Server tunneling detection

The paper deals with k‐means clustering and logic learning machine (LLM) for the detection of Domain Name Server (DNS) tunneling. As the LLM shows more versatility in rule generation and classification precision with respect to traditional decision trees, the approach reveals to be robust to a large set of system conditions. The detection algorithm is designed to be applied over streaming data, without accurate tuning of algorithms' parameters. An extensive performance evaluation is provided with respect to different tunneling tools and applications; silent intruders are considered. Results show robustness on a test set that exhibits a different behavior from training.
The Spec UI framework

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. The Spec UI framework Johan Fabry, Stéphane Ducasse
Garbage Collection in Concurrent Sets

Garbage Collection in concurrent data structures, especially lock-free ones, pose multiple design and consistency challenges. In this instance, we consider the case of concurrent sets. A set is a collection of elements, where the elements are ordered and distinct. These two invariants are always maintained at every point in time. Currently, multiple implementations of concurrent sets already exist. LazyList, Hand-over-hand List and Harris List are some of the well-known implementations. However none of these implementations employ, or are concerned with garbage collection of deleted nodes. Instead each implementation ignores deleted nodes or depends on the garbage collector of the language to handle them. Additionally, Garbage collection in concurrent lists, that use optimistic traversals or that are lock-free, is not trivial. For example, in LazyList and Harris List, they allow a thread to traverse a node or a sequence of nodes after these nodes have already been removed from the list, and hence possibly deleted. If deleted nodes are to be reused, this will potentially lead to the ABA problem. Moreover, some languages like C++ do not have an inbuilt garbage collector. Some constructs like Shared Pointers provide a limited garbage collection facility, but it degrades performance by a large scale. Integrating Shared Pointers into a concurrent code is also not a trivial task. In this paper, we propose a new representation of a concurrent set, GCList, which employs inbuilt garbage collection. We propose a novel garbage collection scheme that implements in-built memory reclamation whereby it reuses deleted nodes from the list. We propose both lock-based and lock-free implementations of GCList. The garbage collection scheme works in parallel with the Set operations.
The evaluation of the urban land intensive use based on PSR model

Intensive development is the way to solve China′s current problems of land conflict between supply and demand in the process of rapid urbanization and achieving sustainable development.This paper analyze the human—land relationship in urban land intensive use on the base of the definition of urban land intensive use,uses the "Press—State—Response" model to evaluate the urban land intensive use,built up a evaluation system on urban land intensive use upon this,applies the evaluation system in Xi′an city,evaluate the state of urban land intensive use in Xi′an city,the intensive land use comprehensive evaluation index of Xi′an increased from 1996 to 2004,but the land intensive use can not achieve the standards.The potential of further enhancing space is relatively large.
Effect of Desulfurization Gypsum and Special Soil Amendment for Improvement of Takyr Solonetzs

Applying soil amendment is a new method to improve alkalized soil that based modernized industry is different of typical methods.The field experiment by planting sunflower in takyr solonetzs improved by desulfurization gypsum and special soil amendment in northern Yinchuan of Ningxia;we analyzed the effect of improvement that indicated,desulfurization gypsum can decrease pH,ESP,improve physics and chemistry characteristic property of soil such as bulk density,texture,organic matter,nutrients,sand and silty content;desulfurization gypsum and special soil amendment can decrease bulk density by 10 percent,increase silt,sandy,soil organic matter,nutrients and crop yield,significantly.Howereve,the last economical efficient of desulfurization gypsum and special soil amendment Ⅱ were highest when the cost of soil amendments were considered.Desulfurization gypsum and specific soil conditioner can effectively improve takyr solonetzs.
Weight Partitioning for Dynamic Fixed-Point Neuromorphic Computing Systems

Neuromorphic computing systems consist of neurons and synapses with limited programmability, and neural networks are modified to be mapped for such a system. In order to map a perceptron with a large number of connections into a hardware neuron with a fixed, small number of synapses, it is decomposed into a tree of perceptrons, which substantially affects the neuron usage and predictive performance. In this paper, we propose two decomposition algorithms that take advantage of plastic connections and the dynamic scaling capability of neurons. One algorithm based on sorting considers the neuron usage first, and the other algorithm based on packing considers the predictive performance first. Our experimental results on two popular deep convolutional neural networks showed that the sorting-based algorithm substantially improved the accuracy at no cost of neurons compared to a previous work, and the packing-based algorithm improved it even further at a small cost of neurons.
Autonomous Landing of a UAV on a Moving Platform Using Model Predictive Control

Developing methods for autonomous landing of an unmanned aerial vehicle (UAV) on a mobile platform has been an active area of research over the past decade, as it offers an attractive solution for cases where rapid deployment and recovery of a fleet of UAVs, continuous flight tasks, extended operational ranges, and mobile recharging stations are desired. In this work, we present a new autonomous landing method that can be implemented on micro UAVs that require high-bandwidth feedback control loops for safe landing under various uncertainties and wind disturbances. We present our system architecture, including dynamic modeling of the UAV with a gimbaled camera, implementation of a Kalman filter for optimal localization of the mobile platform, and development of model predictive control (MPC), for guidance of UAVs. We demonstrate autonomous landing with an error of less than 37 cm from the center of a mobile platform traveling at a speed of up to 12 m/s under the condition of noisy measurements and wind disturbances.
Social media presence of scholarly journals

Recently, social media has become a potentially new way for scholarly journals to disseminate and evaluate research outputs. Scholarly journals have started promoting their research articles to a wide range of audiences via social media platforms. This article aims to investigate the social media presence of scholarly journals across disciplines. We extracted journals from Web of Science and searched for the social media presence of these journals on Facebook and Twitter. Relevant metrics and content relating to the journals' social media accounts were also crawled for data analysis. From our results, the social media presence of scholarly journals lies between 7.1% and 14.2% across disciplines; and it has shown a steady increase in the last decade. The popularity of scholarly journals on social media is distinct across disciplines. Further, we investigated whether social media metrics of journals can predict the Journal Impact Factor (JIF). We found that the number of followers and disciplines have significant effects on the JIF. In addition, a word co‐occurrence network analysis was also conducted to identify popular topics discussed by scholarly journals on social media platforms. Finally, we highlight challenges and issues faced in this study and discuss future research directions.