Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of the termination technology of agro-ecological service crops on soil properties in open field vegetable production.

The agro-ecological service crops (ASC) are introduced in the agro-ecosystems to provide or enhance ecological services, thus promoting the whole soil-plant system equilibrium. To avoid competition with the subsequent cash crops, the growth of the interposed ASC is terminated in advance of the cash crop planting. The traditional, most widespread technique to terminate the ASC is incorporation as green manure into the soil by tillage (GM). However, since tillage includes energy and labour consuming and soil disturbing operations, the use of no/reduced tillage techniques (as the roller crimping technology-RC) has received increasing interest. An international research consortium (SOILVEG) including Estonian Crop Research Institute, was established in 2015 with the aim to study among others the impact of ASC termination on soil dry bulk density (BD), water content, soil structure and microbiological activity. Data are The physical properties of 0 40 cm soil layers were determined. Higher BD in soil layers (0 20 cm) of plots with ASC and RC was determined comparing to the GM and control plots. Bigger water content in same layer of plots with ASC and the RC was determined comparing to the GM plots. The use of the ASC-s helped to arise ratio of agronomically preferred soil particles. Microbial activity was estimated by assessing of enzyme dehydrogenase activity in 0 20 cm soil layer. There were no statistically relevant differences in soil dehydrogenase activity (DHA) between the RC and GM treatments.
Functioning of Concerned Others When Adults Enter Treatment for an Alcohol Use Disorder.

BACKGROUND Poor functioning among Concerned Others (COs; family and friends of an individual with an alcohol or other substance use disorder) is a significant public health problem. The purpose of this study was to inform interventions for COs by examining potential correlates of three aspects of functioning: quality of life, mental health, and knowledge of how to handle problems related to their drinker. METHODS This study collected data from 277 COs when their friend or family member (their "drinker") was entering treatment for an alcohol use disorder. Potential correlates were the drinker's substance use severity, the CO-drinker relationship and communication, and COs' coping and perceived stigma related to involvement with their drinker. RESULTS In a summary analysis, only stressors in the CO-drinker relationship (the drinker's criticism, disagreement, anger, and demands) were consistently associated with poorer functioning as indicated by COs' poorer quality of life and mental health. In contrast, only COs' use of approach coping was associated with COs' knowing how to handle problems related to the drinker. CONCLUSIONS Because reducing both relationship stressors and the link between stressors and poor functioning can be achieved through CO and drinker education and intervention, these findings inform how to effectively support COs' goals for better functioning. This article is protected by copyright. All rights reserved.
Expression and biological significance of GABRE in colon cancer: An analysis based on data mining of Oncomine and TCGA databases

[基金项目] 国家自然科学基金资助项目(No. 81672428,81872427);黑龙江省应用技术研究与开发计划资助项目(No.GA19C002)。 Project supported by the National Natural Science Foundation of China (No. 81672428, 81872427), and the Applied Technology Research and Development Program of Heilongjiang Province (No.GA19C002) [作者简介] 杨佳妮(1995-),女,硕士生,主要从事消化道肿瘤的基础与临床研究,E-mail:yangjiani3929@126.com [通信作者] 张艳桥(ZHANG Yanqiao, corresponding author),博士,教授,主任医师,博士生导师,主要从事消化道肿瘤的基础与临床研究, E-mail:yanqiaozhang@ems.hrbmu. edu.cn 基于Oncomine和TCGA数据库分析GABRE在结肠癌组织中的表达及 生物学意义
Medical Writing: Modality in Focus

List of tables. List of figures. Abbreviations. Preface. 1. Introduction. 2. Professional languages and genres. 3. Modality. 4. Material and methods. 5. Modals. 6. Expressions of possibility. 7. Indicating a higher degree of commitment. 8. Obligations and recommendations. 9. Intratextual variation. 10. Comparing corpora. 11. Textual dimensions of medical genres. 12. Pragmatic aspects of modality. 13. Argumentation in medical texts. 14. Modality and the disciplinary context of medicine. 15. Medical genres. 16. Conclusion. References. Appendices. Index of authors. Index of subjects.
A Reduced-Complexity ADMM Based Decoding Algorithm for LDPC Codes

Alternating Direction Method of Multipliers (ADM-M) is an effective method for Linear Programming (LP) decoding of Low-Density Parity-Check (LDPC) codes. In the ADMM-based LDPC decoding algorithm, Euclidean projection on the check polytope is the key step. Current Euclidean projection algorithms in general require either sorting or iterative operations. However, when decoding LDPC codes with high coding rate, the sorting operation brings a high level of computation complexity. Moreover, although the current iterative projection algorithms do not involve the complex operation of sorting, its convergence speed is slow. In this paper, based on trend extrapolation, a reduced-complexity iterative check polytope projection algorithm is proposed. In the proposed algorithm, the target projection point can be found based on the variation trend of the geometric position of the projection points obtained from previous iterations. Therefore, it ensures fast convergence and does not sacrifice on bit error rate (BER) performance. The simulation results confirm that the proposed algorithm can effectively reduce the decoding complexity, especially for LDPC codes with high coding rate.
Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing

Fog computing is an emerging computing paradigm which is mainly suitable for time-sensitive and real-time Internet of Things (IoT) applications. Academia and industries are focusing on the exploration of various aspects of Fog computing for market adoption. The key idea of the Fog computing paradigm is to use idle computation resources of various handheld, mobile, stationery and network devices around us, to serve the application requests in the Fog-IoT environment. The devices in the Fog environment are autonomous and not exclusively dedicated to Fog application processing. Due to that, the probability of device failure in the Fog environment is high compared with other distributed computing paradigms. Solving failure issues in Fog is crucial because successful application execution can only be ensured if failure can be handled carefully. To handle failure, there are several techniques available in the literature, such as checkpointing and task migration, each of which works well in cloud based enterprise applications that mostly deals with static or transactional data. These failure handling methods are not applicable to highly dynamic Fog environment. In contrast, this work focuses on solving the problem of managing application failure in the Fog environment by proposing a composite solution (combining fuzzy logic-based task checkpointing and task migration techniques with task replication) for failure handling and generating a robust schedule. We evaluated the proposed methods using real failure traces in terms of application execution time, delay and cost. Average delay and total processing time improved by 56% and 48% respectively, on an average for the proposed solution, compared with the existing failure handling approaches.
Fe Sparing and Fe Recycling Contribute to Increased Superoxide Dismutase Capacity in Iron-Starved Chlamydomonas reinhardtii[W]

Two pathways increase the capacity of the Chlamydomonas chloroplast to detoxify superoxide during Fe limitation stress. In one, a novel plastid-localized MnSOD is expressed in response to Fe limitation. In a second pathway, the plastid FeSOD is preferentially retained over other abundant Fe proteins, demonstrating prioritized allocation of Fe within the chloroplast. Fe deficiency is one of several abiotic stresses that impacts plant metabolism because of the loss of function of Fe-containing enzymes in chloroplasts and mitochondria, including cytochromes, FeS proteins, and Fe superoxide dismutase (FeSOD). Two pathways increase the capacity of the Chlamydomonas reinhardtii chloroplast to detoxify superoxide during Fe limitation stress. In one pathway, MSD3 is upregulated at the transcriptional level up to 103-fold in response to Fe limitation, leading to synthesis of a previously undiscovered plastid-specific MnSOD whose identity we validated immunochemically. In a second pathway, the plastid FeSOD is preferentially retained over other abundant Fe proteins, heme-containing cytochrome f, diiron magnesium protoporphyrin monomethyl ester cyclase, and Fe2S2-containing ferredoxin, demonstrating prioritized allocation of Fe within the chloroplast. Maintenance of FeSOD occurs, after an initial phase of degradation, by de novo resynthesis in the absence of extracellular Fe, suggesting the operation of salvage mechanisms for intracellular recycling and reallocation.
Relapse in schizophrenia: costs, clinical outcomes and quality of life

Background Relapse is one of the most costly aspects of schizophrenia. Aims To compare costs, clinical outcomes and quality of life for patients who experienced relapse in schizophrenia with a control group who did not relapse. Method Patients were randomly selected from current psychiatric case-loads drawn from urban and suburban areas of Leicester. Differences in costs and outcomes by relapse status in the previous 6 months were examined using parametric and non-parametric tests, and multivariate analysis was used to examine factors associated with relapse and costs. Results Costs for the patients who relapsed were over four times higher than those for the non-relapse group. There were few statistically significant differences in clinical and quality of life measures by relapse status. Multivariate analyses suggested some significant correlates of relapse and costs. Conclusions The higher costs associated with relapse will be of interest to policy-makers who face difficult choices concerning new but more expensive treatments for patients with schizophrenia.
Maximizing the Utility of Interorganizational Data Using Concept Mapping

Objective: The overall objective of this article was to apply an existing methodology (concept mapping) to a nonstandardized interorganizational data set. The specific aims were to (1) identify, define, and create a map that represented the common conceptual domains of patient satisfaction; (2)validate the relationships among concepts; and (3) use the map by testing the relationships of the patient satisfaction concepts to other patient outcomes. Background: The lack of standardized methodologies for collecting patient outcome data across multiple institutions poses threats to the validity and generalizability of research findings. Methods: The steps in concept mapping were used to explicate the common underlying conceptual dimensions from 3 patient satisfaction tools. The map was then used to evaluate the extent that patient satisfaction was related to outcomes of hospitalized patients. Each of 3 hospitals' measure of patient satisfaction varied in the number and type of items. All items were examined to identify potential areas of conceptual correspondence. Results: Items were grouped into 1 of the 3 identified categories that were consistent across sites: caring, communication, and responsiveness. Moderate correlations were found among the concepts of satisfaction and medication errors, nosocomial infections, and patient falls. Conclusions: Concept mapping-more traditionally used for learning, project planning, and evaluation-is a technique that has demonstrated utility in multi-institutional research.
The Impact of New Crop Technology on the Agricultural Division of Labor in a West African Setting

Scope of the Article The analysis of intrahousehold economics has received increasing attention during the past few years, as planners and policymakers have become increasingly aware that neither poverty nor development interventions affect all individuals in households uniformly. In particular, the dual issues of gender bias and intrahousehold inequalities, and their relationship to technological change in agriculture, have become central concerns.1 This article sets out to examine the impact of technological change in a West African environment (The Gambia) where a project introducing new technology in rice production (centralized pump irrigation) was specifically designed to address the issue of differential gender roles in farming. Rice was traditionally a "woman's crop. " Today, despite attempts to preserve women's customary role in rice farming, changes in rice-production technology have seen rice become a malecontrolled crop. We shall, therefore, consider how households in The Gambia organize their labor resources in agriculture toward production, storage, and crop disposal, as a result of the changing roles of men and women in rice production. The question to be examined is, What has happened to the division of labor in agriculture between women and men in communal and individual farming? An understanding of how technological change affects the distribution of resources at the intrahousehold level is essential both to an evaluation of the distribu-
Non-Perturbative Gravity at different Length Scales

In this thesis, we investigate different aspects of gravity as an effective field theory. Building on the arguments of self-completeness of Einstein gravity, we argue that any sensible theory, which does not propagate negative-norm states and reduces to General Relativity in the low energy limit is self-complete. Due to black hole formation in high energy scattering experiments, distances smaller than the Planck scale are shielded from any accessibility. Degrees of freedom with masses larger than the Planck mass are mapped to large classical black holes which are described by the already existing infrared theory. Since high energy (UV) modifications of gravity which are ghost-free can only produce stronger gravitational interactions than Einstein gravity, the black hole shielding is even more efficient in such theories. In this light, we argue that conventional attempts of a Wilsonian UV completion are severely constrained. Furthermore, we investigate the quantum picture for black holes which emerges in the low energy description put forward by Dvali and Gomez in which black holes are described as Bose-Einstein condensates of many weakly coupled gravitons. Specifically, we investigate a non-relativistic toy model which mimics certain aspects of the graviton condensate picture. This toy model describes the collapse of a condensate of attractive bosons which emits particles due to incoherent scattering. We show that it is possible that the evolution of the condensate follows the critical point which is accompanied by the appearance of a light mode. Another aspect of gravitational interactions concerns the question whether quantum gravity breaks global symmetries. Arguments relying on the no hair theorem and wormhole solutions suggest that global symmetries can be violated. In this thesis, we parametrize such effects in terms of an effective field theory description of three-form fields. We investigate the possible implications for the axion solution of the strong CP problem. Since the axion is the (pseudo-) Goldstone boson of a broken U(1) global symmetry, quantum gravitational global symmetry violations could reinstate the CP problem even in the presence of the axion. We show that in the presence of massless neutrinos possible conflicts with the axion solution can be resolved. Demanding a viable axion solution of the strong CP problem, we derive new bounds on neutrino masses. In addition, we investigate the QCD vacuum energy screening mechanism for light quarks. It is well-known that the θ-dependence of the QCD vacuum vanishes linearly with the lightest quark mass. By an analogy with Schwinger pair creation in a strong electric field,
Red light running by Cyclists: Which factors influence the red light running by cyclists?

In an ideal world there would be no crashes in traffic. Unfortunately the real world is far from ideal and over 20,000 people get injured in a crash in the Netherlands each year. Around 46,7% of these registered crashes, take place at intersections. To decrease the chance and number of conflicts, and therefore the chance of crashes, many intersections are controlled by traffic signal control, but these will only have effect when the signals are obeyed. In almost all traffic signal control systems the motorised streams are prioritised, because of the space and time needed for cars to cross the intersection. Therefore cyclists, who can cross in high numbers in a short time, have longer waiting times compared to motorized streams. As a result cyclists are possibly more likely to ignore the traffic lights and cross when seems safe to them. When they cross during the phase where the light is turned red, this is called red light running. The purpose of the report is to give insight in the percentage of the red light running by cyclists in the Netherlands, the influence factors and the consequences for traffic safety. Through literature review an inventory of the different factors that influence red light running is made. The characteristics found that increased the percentage of red light running were: Male cyclists, young adults, experienced cyclists, bad weather, long waiting times, reduced credibility/low conflicting traffic flow, short crossing distance, herding (when there are other people violating the red light they are more likely to also violate the red light) and a low percentage of trucks and busses. Though most literature was over 25 years old and thus was not recent enough to form hypotheses. Thus the study got a descriptive and explanatory nature. With the help of video observations on 5 different intersections, factors found in literature were analysed. The overall red light running was 27.4%. Factors that were found influencing red light running are: - Gender: Men violated the red light 1.32 times more than women. - Age: Young cyclist have a higher percentage of red light running, 1.63 times higher than adults and 1.78 time higher than elderly cyclists. - Crossing distance: A longer crossing distance decreases the red light running - Flow of the motorized streams: more traffic on the conflicting motorized streams lead to less red light running. The vehicle composition of the conflicting stream seems to have an effect on the red light running. However, the number of observations for these factors was too low to statistically test them. Therefore further research, with observation of more intersections, is necessary. The other factors did not have an effect or the effect seen was not statistically significant. It is recommended to do further research on the factors that have an influence on the red light running. The number of the observations, number of intersections or number of cyclists crossing in this descriptive research are too low to conclude without a doubt the effect of these factors.
Hurricane Search algorithm a new model for function optimization

This paper introduces a new meta-heuristic optimization technique, called “Hurricane-based Search algorithm (HuSA)”. The underlying concepts and ideas behind the proposed method are inspired from nature and based on the observation of hurricanes, the radial wind and pressure profiles. In HuSA, wind parcels move in a spiral course outward from a low-pressure zone called the eye of the hurricane. During this process, wind parcels search for a lower pressure zone (new eye), which is considered as the optimal solution. The HuSA is tested with several benchmark functions frequently used in the area of optimization. The obtained results exhibit the high performance of the proposed method.
Erazo Paruma A method and a tool for model-based testing of software product lines

Software product lines (SPL) are gaining interest because of the increasing demand for customizable products. This is partly because SPLs are an efficient and effective means of delivering products with higher quality at a lower cost. In SPL, products have common requirements and also, specific features for each one. Testing whether a product implements common and specific requirements is an important step to ensure good quality of the derived products. However, testing a SPL is a complex task, since the variety of products that can be derived from the combination of common and specific features is huge. Even if only a few specific products are selected, the effort to test them is still significant, since the products vary in terms of the specific features that are selected. Therefore, reusing test cases from one product to another to determine whether they satisfy the functional requirements may not be possible. Model-based testing (MBT) may be useful in this case, in which a behavior model can be obtained from the requirements and this model can be used for automatic test cases generation. This work presents model-based product testing approach (MBPTA) for software product lines, in which requirements are centered on use cases. Use Cases (UC) are a popular format for representing requirements. From the use case descriptions written in the form of a semi-structured format and containing the variability specification, the behavior models are automatically generated for a product under test, in the form of a state machine model. Building a state machine is not a trivial task for most practitioners, who are more familiarized with textual and informal descriptions of requirements. In general, the manual creation of state machine models from UCs can be time-consuming and prone to errors. The goal is to provide the test engineers with a method that guides them in the creation of artifacts necessary to extract a preliminary version of a state model from the requirements. This preliminary model can be refined to become suitable for a test case generation tool. MBPTA also provides guidelines for the refinement process of the preliminary model. As proof of concept, a prototype of a tool was developed, MARITACA, which uses natural language processing techniques to extract state machines from the use case descriptions. The text presents the use of the method and the tool in an illustrative example, obtained from the literature, and in a family of distributed fault-tolerant applications. This study showed the applicability of the proposed method. One of the concerns in SPL testing is the generation of redundant test cases from one product to another. The results, though preliminary, showed that most of the test cases generated for a new product are not redundant because they involve specific features of each product.