Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of root interaction on nodulation characteristics and isoflavonoid mechanism of alfalfa in the simulated alfalfa/oat in pots

Rational intercropping is capable of promoting nodulation and facilitating the fixation and utilization of nitrogen (N) of legumes. Isoflavonoid is critical to form root nodules of legumes, whereas the regulation of isoflavonoid over nodulation and N fixation in legume/cereal intercropping remains unclear. In the present study, nutrient solution of different root partitions (e.g., no barrier (A-O), nylon mesh barrier (NA-O), plastic barrier (PA-O) and sole alfalfa (SA)) and nitrogen levels (e.g., 21 and 210 mg L-1 N) were used to delve into the variations of nodulation, N fixation, isoflavonoid content, isoflavonoid synthase (IFS) and nodulation-signaling pathway (NOD) genes in alfalfa. As suggested from the results, the parameters of nodulation and N fixation ability with A-O were all evidently higher than those with PA-O and SA. Formononetin and genistein with A-O had noticeably higher contents than those with PAT and SA. Daidzein and luteolin with A-O had remarkably higher contents than those with NA-O in the root. IFR 1, IFR 4, NOD 1 and NOD 2 with A-O and NA-O had noticeably higher relative expressions than those with SA and PA-O. IFR 2 and IFR 3 with AT and NA-T had significantly lower relative expressions than those with PA-O and SA. The nodulation and isoflavonoids met significant positive associations. IFR and NOD genes and TNN and ENN followed significant positive associations. NOD genes and formononetin exhibited extremely significant positive associations. The conclusion was drawn that the closer root interaction between alfalfa and oat, the more effective the nodulation, N fixation ability and isoflavoids content of alfalfa will be. Isoflavonoids primarily affected nodulation and N fixation. The mechanism of isoflavonoids on nodulation and N fixation in alfalfa/oat intercropping was explained that root interaction results in the reduction of environmental N, thereby regulating the relative expressions of IFR genes, elevating the isoflavonoids contents, and up-regulating the relative expressions of NOD genes; as a result, the nodulation and N fixation ability in alfalfa are facilitated.
Triple Chemotherapy (DOX) in Patients with Advanced Gastro-Esophageal Adenocarcinoma - A Phase II Study

Triple chemotherapy improves efficacy in patients with advanced gastro-esophageal (GE) cancer. In a phase I dose-finding trial including 23 patients we established a recommended dose of triple chemotherapy with docetaxel (D), oxaliplatin (O), and capecitabine (X) (DOX). We found promising activity and here we present efficacy data from the succeeding phase II trial. Patients and Methods: All patients had histologically confirmed GE adenocarcinoma. Therapy was docetaxel (51 mg/m2 as a 60 minutes infusion day 1), oxaliplatin (100 mg/m2 as a 30 minutes infusion day 1) and capecitabine (1250 mg/m2/day continuously). Treatment was repeated every 3 weeks until progressive disease or unacceptable toxicity. Toxicity and response were evaluated according to NCIC-CTC 3.0 and RECIST 1.0, respectively. Results: Forty-two patients with median age of 64 years and metastatic disease were included. Six patients (14%) and 22 patients (52%) obtained complete or partial response, respectively for an investigator evaluated response rate of 66%. Median progression-free survival was 7.7 months; and overall survival was 11.8 months. Neutropenia grade 3 and 4 was observed in 20 patients (total 48%). Febrile neutropenia was observed in 14 patients (33%). The median number of DOX was 6. Conclusion: DOX (D: 51 mg/ m2 day 1, O: 100 mg/m2 day 1 and X: 1250 mg/m2) continuously every 3 weeks in patients with advanced GE cancer can be administered in an out-patient setting and efficacy is very promising and deserves evaluation in larger trials. ORiginAL ReSeARcH ARTicLe
Progress in Deep Learning Mechanisms for Information Extraction Social Networks: An Expository Overview

Deep learning algorithms have shown to be robust in extracting high quality information from a wide range of online platforms. Incidentally, social networks and other related online platforms are known to hold a copious amount of unstructured user-generated content. To date, machine learning and deep learning approaches for mining textual data have received so much attention from researchers and industry players Deep learning is good at independently learning from complex feature representation and make intelligent decisions from data. However, with the influx if different deep learning methods for information extraction, understanding and finding the current challenges and recent advances in these algorithms is daunting. This paper investigates existing pieces of literature to appreciate the trajectory of deep learning for information extraction in Natural Language Understanding. The study further considers the state-of-the-art, open challenges, as well as the tools and methodologies involved in undertaking information extraction tasks from Unstructured data. The study considers relevant published articles from the year 2009-2020 that focused on deep learning approach for information extraction from text. The investigations of this paper provide extensive clarity to the research field of Natural Language Processing with deep learning. It identifies current research problems, recommends directions for future research. The paper is designed to help non-expert researchers comprehend the fundamentals of deep learning and Natural Language Processing methods for Information Extraction.
Spatial characteristics of luminous hydrocarbon pellet clouds in the large helical device

This study analyzes the dependences of the size of the luminous region of hydrocarbon pellet cloud on the ablation rate, as well as on the ambient plasma electron density and temperature. The data were obtained in a series of experiments where spherical solid polystyrene pellets with a diameter of ≈900 μm at a speed of ≈450 m s−1 were injected into hydrogen plasma of the large helical device. The ambient plasma with an electron temperature of 0.5–1.5 keV and a density of (1–7) × 1019 m−3 was maintained by injection of neutral atom beams with total the heating power of 3–14 MW. A scaling law was derived for determining the transverse size of the cloud’s luminous region from the known values of the pellet’s current radius as well as the values of the density and temperature of the ambient plasma at the place of image acquisition. The interdependencies between various dimensions of the luminous region obtained in the line spectrum are established. The presence of such dependences makes it possible to describe the dimensions of the luminous region comprehensively by means of the scaling law for its transverse size.
Non-Intrusive Load Monitoring Based on Deep Pairwise-Supervised Hashing to Detect Unidentified Appliances

Non-intrusive load monitoring (NILM) is a fast developing technique for appliances operation recognition in power system monitoring. At present, most NILM algorithms rely on the assumption that all fluctuations in the data stream are triggered by identified appliances. Therefore, NILM of identifying unidentified appliances is still an open challenge. To pursue a scalable solution to energy monitoring for contemporary unidentified appliances, we propose a voltage-current (V-I) trajectory enabled deep pairwise-supervised hashing (DPSH) method for NILM. DPSH performs simultaneous feature learning and hash-code learning with deep neural networks, which shows higher identification accuracy than a benchmark method. DPSH can generate different hash codes to distinguish identified appliances. For unidentified appliances, it generates completely new codes that are different from codes of multiple identified appliances to distinguish them. Experiments on public datasets show that our method can get better F1-score than the benchmark method to achieve state-of-the-art performance in the identification of unidentified appliances, and this method maintains high sustainability to identify other unidentified appliances through retraining. DPSH can be resilient against appliance changes in the house.
Evaluating the outcomes of "Resilient left-behind children" – A social-emotional learning and mindfulness group counseling program

International migration has a powerful impact on both the sending and receiving countries, especially for adults migrating for better working conditions and leaving family members, including children, behind. Increasing numbers of left-behind children in Romania (Save the Children Romania, 2019) require attention and support through specific policies and school-based programs. The purpose of this empirical study is to develop and assess a school-based prevention/intervention group counseling program for left-behind children. The program is based on previous social-emotional learning curricula and it incorporates mindfulness technics (Sibinga, Webb, Ghazarian, & Ellen, 2016). It is designed to increase resilience and self-regulatory abilities in children, thus improving their school adjustment in terms of emotional, social, behavioral and attitudinal outcomes. Using a sample of 62 children, aged 12-15 (M = 12.71, SD = .868), we conducted a quasi-randomized trial with a control and an intervention group to investigate the efficacy of the program. Children in the intervention group reported improved self-regulation and resilience and reduced loneliness and social dissatisfaction. Teachers reported significantly fewer emotional and behavioral difficulties for the children following the intervention. This study emphasizes the role of the evidence-based approach to counseling services in schools, by capitalizing on the latest findings in the field and addressing the specific needs of left-behind children.
Immobilization of (Aqueous) Cations in Low pH M-S-H Cement

Incorporation of heavy metal ions in cement hydrates is of great interest for the storage and immobilization of toxic, hazardous, and radioactive wastes using cementitious matrix. Magnesium silicate hydrate (M-S-H) is a low pH alternative cementitious binder to commonly used Portland cement. Low pH cements have been considered as promising matrix for municipal and nuclear waste immobilization in the last decades. It is however crucial to assure that the incorporation of secondary ions is not detrimental for the formation of the hydration products. Herein, we investigate the early stages of formation of M-S-H from electrolyte solutions in presence of a wide range of metal cations (LiI, BaII, CsI, CrIII, FeIII, CoII, NiII, CuI, ZnII, PbII, AlIII). The final solid products obtained after 24 h have been characterized via powder X-ray diffraction (PXRD), attenuated total reflectance-Fourier transformed infrared spectroscopy (FTIR-ATR), elemental analysis via energy-dispersive X-ray spectroscopy (EDX), scanning electron microscopy (SEM), and high-resolution transmission electron microscopy (HR-TEM). In all the experiments, the main precipitated phase after 24 h was confirmed to be M-S-H with a ratio (total metal/Si) close to one. The obtained M-S-H products showed strong immobilization capacity for the secondary metal cations and can incorporate up to 30% of the total metal content at the early stages of M-S-H formation without significantly delaying the nucleation of the M-S-H. It has been observed that presence of Cr, Co, and Fe in the solution is prolonging the growth period of M-S-H. This is related to a higher average secondary metal/total metal ratio in the precipitated material. Secondary phases that co-precipitate in some of the experiments (Fe, Pb, Ni, and Zn) were also effectively trapped within in the M-S-H matrix. Barium was the only element in which the formation of a secondary carbonate phase isolated from the M-S-H precipitates was detected.
A Novel Design of Photovoltaic-Based Charging Station for Battery Vehicles with Dynamic Demand: A Case of Short Runs

In this research, a novel design and operation of solar-based charging system for battery vehicle for a 50 km run is proposed. The proposal is aimed at replacing 110 existing diesel vehicles with 39 electric buses. Several operation scenarios for the charging stations are proposed and analyzed. Scenarios include two different battery charging methodologies and one hybrid option between electric buses and diesel vehicles. An energy model of the adapted electric buses is developed first. After that, load demand and needs including number of daily trips, number of passengers per hour, and hourly energy consumption are determined based on the developed model and gathered information. Results show that a 5.7 MWp photovoltaic system is required to power this transportation line with a loss of load probability of 5% and a trip cost per passenger of 2.05 USD. The simple payback period of the system is found to be 10 years, which is 40% of the system’s lifetime. The amount of CO2 mitigated by the proposed system is estimated as 1,629,387 (kg/year). The social impact of the proposed project is found acceptable; whereas, most of the current employees will keep their jobs with higher salaries by about 145% and less working hours by 50%. Moreover, it is expected that the proposed project will significantly increase the reliability, convenience, and sustainability of the transportation process.
Spectral Geometry of Black Holes in 4D Gauged Supergravity

In this work we show that the area of the event horizon of the Chong–Cvetic–Lu–Pope black hole can be reconstructed in terms of the spectra of the Laplacian on the event horizon. This result, which extends previous works regarding the de Sitter–Kerr–Newman case, points towards a possible description of the black hole degrees of freedom in terms of the spectra of canonical operators defined on the event horizon.
Using Microworlds for Resilience Management of Food Systems

Food systems are socio-ecological systems in which a variety of stakeholders interact through a wide range of activities such as production, packaging, selling and consumption of food (Ericksen, 2008). The objectives for food systems include long-term sustainability of food security and social and environmental outcomes (Ericksen, 2008). A prerequisite for long-term sustainability is the capacity of a system to maintain its functionality without compromising its ability to do so in the future. There is an increased awareness of the vulnerabilities of food systems to changes in the environment like those introduced by climate change (e.g. water scarcity, weather variability) Socio-ecological resilience is essentially understood as a system ability to maintain its functionality even when it is being affected by a disturbance (Folke Holling, While sustainability provides a framework for long-term planning, resilience focuses on adaptive mechanisms that will support a system ’ s functionality in the medium and long-term future. The emphasis on adaptive mechanisms to unpredictable changes has made resilience a compelling forward-looking approach to adaptation (Berkes and Jolly, 2001; Pizzo, 2015). While resilience is a characteristic of the system, resilience management is the active modification of a system with the explicit aim improve its capacity to absorb and adapt to change (Nettier et 2017; Fath Walker These capacities depend on the way the system has been organised and, therefore, resilience management is interested in understanding such organisation and identifying more effective ways for structuring the system. resilience
Evaluating a job search strategy model of fit perceptions: a construct validation amongst unemployed job seekers

PurposeThe purpose of this study is to examine the (1) psychometric properties of Crossley and Highhouse's job search strategy scale and (2) the predictive utility of the scale on fit perceptions Design/methodology/approachData were collected from unemployed job seekers in Ghana (nT1 = 720;nT2 = 418) Exploratory and confirmatory factor analyses were conducted to examine the data FindingsExploratory factor analysis on the first random sub-sample (n = 362) supported a three-factor model Confirmatory factor analysis on the second random sub-sample (n = 358) confirmed the three-factor structure and was invariant across job search contexts and genders Moreover, structural path results showed that the use of focussed and exploratory job search strategies facilitated positive fit perceptions and the use of haphazard job search resulted in poor job fit perceptions Originality/valueThis study is the first to examine the dimensionality of job search strategies based on different job search context by linking it to fit perceptions Moreover, the authors provide evidence that the job search strategy scale has a valid psychometric property and a promising instrument to assess job search behaviour across job search contexts and genders in an understudied population
A Cooperative Partner Selection Study of Military-Civilian Scientific and Technological Collaborative Innovation Based on Interval-Valued Intuitionistic Fuzzy Set

Military-civilian scientific and technological collaborative innovation (MCSTCI) is an important intersection of civil-military integrated development strategies and innovation-driven development strategies, and has become a brand-new model for Chinese key scientific and technological research. The selection of cooperative partner between military and civilian innovation entities is not only the primary segment to carry out MCSTCI activities, but also an important foundation for achieving complementary advantages and win-win cooperation. Therefore, on the basis of summarizing and combing the evaluation indicators, a partner selection model based on interval-valued intuitionistic fuzzy set multi-attribute decision-making is proposed. Firstly, we improve the traditional scoring function, and combine the new scoring function and entropy weight method to determine the weight of each evaluation indicator. Secondly, considering the impact of decision-makers’ risk attitudes, a method of transforming evaluation matrix based on hesitancy distribution is proposed. Finally, the grey correlation and TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is used to mark and rank the candidates, and the innovation entities with the highest score is selected as the collaborative innovation partner. An example of a military equipment manufacturing enterprise in Beijing for partner selection in order to carry out joint technological research on a certain anti-ship missile weapon shows that the model is more comprehensive and flexible in solving fuzzy multi-attribute decision-making problems, and can assess and select cooperative partners for MCSTCI scientifically and objectively.
Free but fake speech: When giving primacy to the source decreases misinformation sharing on social media

Social media platforms are facing increasing tensions in balancing the desire to maintain freedom of expression with limiting the spread of fake news and mis-information. This study investigates whether giving primacy to the source of mis-information on Facebook influences users' sharing behaviour. Two experimental studies show that when fake news is presented in a source ‐ primacy format, users are less likely to share the post because of reduced trust in the message and increased perceptions of deceptive intent. Additionally, this effect persists only when the person sharing the fake news has a weak interpersonal relationship with the receiver. The study extends current understanding of how misinformation is shared and provides insights into how presentation formats can be used to limit the spread of fake news without restricting freedom of speech.
Art, authenticity and citizenship for people living with dementia in a care home

Abstract This paper reports on a study which examined the notions of authenticity and citizenship for people living with cognitive impairment or dementia in a care home in the North-East of England. We demonstrated that both notions were present and were encouraged by engagement with an artist, where this involved audio and visual recordings and the creation of a film. The artist's interactions were observed by a non-participant observer using ethnographic techniques, including interviews with the residents, their families and the staff of the care home. The data were analysed using grounded theory and the constant comparative method of qualitative analysis. Our findings suggest that participatory art might help to maintain and encourage authenticity and citizenship in people living with dementia in a care home. Certainly, authenticity and citizenship are notions worth pursuing in the context of dementia generally, but especially in care homes.
Soil Microbes are Shaped by Soil Physico-chemical Properties: A Brief Review of Existing Literature

Soil consists of very complex, inter-related community of microorganisms which interact with one another and with plants and animals, forming a complex web of biological activity. The microbes determine health and potential of soil to perform a multitude of ecosystem processes, which depend on the community composition and functioning. The microbial community structure and functions in soil are influenced by physico-chemical properties of soils. Abiotic controls like surrounding climate, environment, land use, nutrients, pH and rhizosphere control the composition of microbes in soil, which in turn modify soil properties. In this review, we investigate the existing body of research exploring studies which have explored how microbes are shaped by soil properties.
Theory of Auditing Economics: A Review of Analytical Auditing Research

Research on the economics of auditing has grown significantly in light of accounting scandals and regulatory reforms. As an important component of auditing economics, analytical auditing research considers individuals involved as economic agents with rational expectations and derives equilibrium solutions. This research provides an underlying theory for auditing economics analysis. Despite the importance of theory, there have been no papers that provide a comprehensive review of research conducted in this area. This paper provides a review of analytical auditing research. It summarizes the findings of these papers and provides suggestions for future research. It develops a framework that incorporates the demand and supply of audits and considers the economic incentives of individuals or organizations involved in the audits as well as their strategic interactions. This paper intends to stimulate more analytical auditing research and to help research based on other methodologies build strong theory.
Relationship between Sexual Needs and the Quality of Life of Diabetes Mellitus Patients

Diabetes mellitus is a chronic disease that can cause serious complications and has a major impact on the quality of life experienced by sufferers. One of the effects of diabetes mellitus is a change in sexual identity and a person’s physical ability to carry out sexual activities. This study aims to determine the relationship between sexual needs fulfilment and quality of life experienced by Diabetes Mellitus patients. This research is a non-experimental quantitative study using a cross-sectional study approach, the population in this study were 49 diabetes Mellitus patients treated at the Labuang Baji Hospital. Data was collected using a questionnaire, sexual needs in women were assessed using the FSFI (Female Sexual Function Index) questionnaire and in men using the IIEF (International Index of Erectile Functions) while the quality of life was assessed using DQOL (Diabetes Quality Of Life). 57.7% of respondents felt their sexual needs were not met, and the quality of life of patients with diabetes mellitus 46.9% is poor. There is a relationship between sexual fulfilment and quality of life in diabetes mellitus patients at the Makassar Labuang Baji Hospital, Indonesia.