Miracle-dz/UniFAR-FTUs huggingface dataset:
POTASSIUM DOES NOT ATTENUATE SALT STRESS IN YELLOW PASSION FRUIT UNDER IRRIGATION MANAGEMENT STRATEGIES

The objective of this study was to evaluate the gas exchange, growth and production of yellow passion fruit cv. BRS GA1, as a function of irrigation management strategies with saline water and potassium doses. The experiment was conducted under field conditions in São Domingos, PB, Brazil. A randomized block design was used in a 6 × 2 factorial scheme. The treatments consisted of six strategies of irrigation with saline waters (irrigation with low-salinity water throughout the crop cycle SE; irrigation with high-salinity water in the vegetative stage VE; flowering stage FL; fruiting stage FR; in the successive vegetative/flowering stages VE/FL; vegetative/fruiting stages VE/FR) and two doses of potassium (100 and 130% of the K2O recommendation), with four replicates and four plants per plot. The 100% dose corresponded to 60 g of K2O plant year. The effects of using high-salinity water (3.2 dS m) alternated with low-salinity water (1.3 dS m) were evaluated in different stages of the cultivation cycle. Irrigation with saline water in the fruiting stage promoted an increase in intercellular CO2 concentration and decrease in CO2 assimilation, with effects of non-stomatal origin standing out as limiting factors of photosynthetic efficiency. The highest CO2 assimilation rate in plants subjected to water salinity of 1.3 dS m throughout the cycle resulted in increments in the number of fruits and in the production per plant of the passion fruit cv. BRS GA1.
Epidemiological Study of Antibiotic Self-Medication in Tehran 1399: A Descriptive Study

Hesam Aldin Varpaei1*, Hossein Esmaeili2, Mohammad Yavari1, Mohammad Mahdi Miremami1, Amir Mahdi Farahani1, Faeze Esmaeili1, Saba Abachi1, Pariya Onsori1, Pedram Nouroozi1 and Ali Kazemi3 1Bachelor of Nursing, Tehran University of Medical Sciences, Iran 2Young Researcher and Elite Clube, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran 3Assistant Professor, Department of Pharmacology, Tehran University of Medical Sciences, Iran
University-Industry Collaboration. An Exploration of An Entrepreneurial University in Mexico

This research aims to explore the university-industry collaboration in a public university in Mexico. This research considers the researchers´ perception of organizational factors and the researchers´ characteristics as drivers of the university-industry collaboration. The research design of this study was quantitative. Findings indicate that the researchers´ participation in innovation projects is low. The researchers´ perception about some organizational factors to collaborate with industry is negative. Data shows that researchers consider complicate to establish a relationship with industry that is mainly related to organizational factors. In addition, important findings of this study suggest that researchers´ gender influence the university-industry collaboration.
Transforming youth participation? Examining co-production in a school based time bank

ABSTRACT Co-production has attracted increasing interest from public and voluntary sectors as an approach that repositions service users as central to the design and delivery of public services. In relation to children and young people, co-production’s ideological proponents argue that it moves beyond traditional forms of participation, such as consultation, and offers more ‘transformative’ forms of engagement with services. However, whilst there is a growing body of literature and empirical enquiry into young people’s participation in decision making there has been little research into young people’s involvement in the co-production of services. Drawing on a case study employing both ethnographic methods and participatory approaches with young people, this article reports on the attempts to develop co-productive practices within a school-based time bank. The paper highlights major challenges in its development, these included young people’s motivations for involvement, their willingness to co-produce and adults’ adaptability to these practices. The article makes an important contribution to the still limited academic debates on the co-production of youth services and questions whether the type of engagement found in the time bank is really more ‘transformative’ than traditional forms of youth participation in the schooling system and related agencies of youth inclusion.
Impact of phonon nonlocality on nanogap and nanolayer polar resonators

Polar dielectric nanoresonators can support hybrid photon-phonon modes termed surface phonon polaritons with length scales below the diffraction limit. In the deep subwavelength regime the optical response of these systems was shown to diverge from that predicted through a standard dielectric description. Recently, we developed an analytical, dielectric approach and applied it to spheres and planar heterostructures, reproducing anomalous features observed in experiment and microscopic calculations. In this Rapid Communication we develop tools to describe the nonlocal response of polar nanoresonators of arbitrary symmetry, and use them to investigate systems with nanogaps and nanolayers of practical technological relevance. We demonstrate that the available ﬁeld enhancement is strongly reduced, as the electromagnetic energy leaks away from the hot spots, while phononic resonances are shifted by resonator effects.
An investigation of phosphate adsorbed on aluminium oxyhydroxide and oxide phases by nuclear magnetic resonance

The adsorption of phosphate by soil minerals controls availability of P to plants, but the chemical environments of adsorbed phosphate are poorly known. We used 31P MAS NMR to study the adsorption of phosphate on to boehmite (γ‐AlOOH) and γ‐Al2O3 with large surface areas. The solid phases were reacted in 0.1 m phosphate solutions at pH from 3 to 11 and in solutions with pH 5 at concentrations from 10−1 m to 10−4 m. The spectra suggested three different phosphate environments: (i) orthophosphate precipitated from the residual solution after vacuum filtering, (ii) surface‐adsorbed phosphate in inner‐sphere complexes, and (iii) Al‐phosphate precipitates on the surfaces of the minerals. The chemical shifts of both the inner‐sphere complexes and surface precipitates became progressively less shielded with increasing pH and decreasing concentration of phosphate solution. For the inner‐sphere complexes, we interpret these changes to be the result of decreasing phosphate protonation combined with rapid proton exchange among phosphate tetrahedra with different numbers of protons, which causes peak averaging. The chemical shifts of 31P of the Al‐phosphate precipitates were more negative than those of the surface phosphates at a given pH and solution concentration, probably because of a larger number of P–O–Al linkages per tetrahedron. The observed trend of decreasing shielding is probably due to the decreasing average number of P–O–Al linkages per tetrahedron combined with decreasing protonation and an increasing number of K+ next‐nearest neighbours. Even at small concentrations of phosphate solution, a significant amount of Al‐phosphate precipitate was present.
Estimating the New Keynesian Phillips Curve with Regional Data and Selected Instruments

Despite the increase in nationwide unemployment following the Great Recession, the United States only saw a moderate fall in inflation, which has led to numerous debates on whether the Phillips curve has indeed flattened. The empirical discrepancies leading to this debate could stem from estimation issues related to confounding cost-push shocks and the many weak instruments encountered by the aggregate New Keynesian Phillips curve. This paper resolves these two issues by incorporating regional variation and instrument selection. Monte-Carlo simulations demonstrate that regional data help with the identification of the Phillips curve when cost-push shocks bias the aggregate estimation, and the NKPC estimation can be further improved in finite samples with instrument selection. I apply these methods to US metropolitan data and find that the aggregate Phillips curve has not flattened; on the contrary, the trade-off between inflation and unemployment remains strong when using regional data from more recent periods.
The Role of Angiopoietin-2 Gene Mutation on Clinical Severity of Dengue Disease in Children

BACKGROUND: In general, angiopoietin-2 levels are increased concomitantly with dengue clinical severity. AIM: This research aims to determine the role of mutation on angiopoietin-2 on dengue clinical severity. METHODS: A cross-sectional study of 108 children with dengue disease grouped by severity. Angiopoietin-2 level was examined by enzyme-linked immunosorbent assay. Polymerase chain reaction and double nucleic acid sequencing are using 2 Exon 4-F primers. RESULTS: Angiopoietin-2 levels on rs7834131 mutant are higher in dengue fever (p < 0.05) and dengue hemorrhage fever group than non-mutant, while on dengue shock syndrome, it is lower than non-mutant. CONCLUSION: Angiopoietin-2 mutation on rs7834131 might have a protective effect on dengue disease severity.
Application of fuzzy logic and grey based Taguchi approach for additives optimization in expansive soil treatment

In this paper, grey relational analysis (GRA) and fuzzy logic were successfully combined with Taguchi optimization method and utilized on multiple quality responses to optimize ternary additives for the improvement of expansive soil properties. The ternary additives included sawdust ash (SDA), quarry dust (QD) and ordinary Portland cement (OPC) additives. Signal-to noise ratios were estimated for each of the quality characteristics and then normalized using the GRA theory. The normalized values, which were set as the input variables in the fuzzy logic system, were used to obtain the output multiple performance characteristic indices (MPCI). Thereafter, factors level effect on the MPCI were evaluated and the factor level that maximized the averaged MPCI was selected as the optimal factor level. The optimum combination of the ternary additives (20% SDA+20%QD+8%OPC) was obtained subsequently. Confirmatory experiments and micrograph analysis were executed and the results obtained reveal the effectiveness of the applied optimization procedure.
A Qualitative Analysis of Factors Related to Unsafe Work Behaviors Among Environmental Service Workers in the COVID-19 Era: Perspectives of Workers, and Safety Managers: The Case of Government Hospitals in Addis Ababa, Ethiopia.

Background: The Environmental service profession is hazardous, partially because of the work's inherently dangerous nature. Thus, injuries, accidents, and illnesses result in substantial financial and social losses. The most common immediate cause of these work-related incidents is unsafe work-behavior; the first step in taking steps to prevent unsafe behavior is to recognize the factors promoting it. The goal of this study was to (a) investigate the attitudes and perceptions of safety among the employees and safety managers of Coronavirus treatment hospitals in Addis Ababa, Ethiopia and (b) identify the factors that inhibit safe work behaviors.Methods: Two qualitative data collection approaches, namely key informant interviews and individual in-depth interviews, were used to collect data for this study. Twenty-five participants were recruited from three Coronavirus treatment facilities using a modified convenience sampling strategy, and interviews were conducted to gain a detailed understanding of factors that serve as barriers to safe work behavior. The interviews were recorded and transcribed in Amharic (the local language) and then translated into English. Open Code 4.02 was used for thematic analysis.Results: Poor safety management and supervision, unsafe work environment, and perceptions, skills, and training level of employees were established as the major factors associated with the prevailing unsafe work behavior among environmental service employees.Conclusions: The present study showed that different types of personal and environmental factors may discourage safe work behavior among environmental service workers. To minimize or remove these risk factors for unsafe behaviors, the individual's obligation is important, but the role of management is critical in providing resources for safe work behavior.
Improving Physiological and Yield Traits of Groundnut (Arachis hypogaea L.) by using Various Sources of Organic Wastes and Bio Fertilizers, Rhizobia

Background: Investigations were carried out during Rabi, 2016 and Summer, 2017 at farmer’s field in Kodukkanpalayam village of Cuddalore District, Tamil Nadu to evaluate the direct effects of agro industrial wastes (bagasse ash, pressmud and distillery spentwash), crop residues, farmyard manure with 50% inorganic sources, with and without Rhizobia on various traits of groundnut. There were twelve treatments in randomized block design (RBD) with three replications. Results revealed that the growth and yield components of groundnut viz., plant height, DMP and LAI at flowering stage, number of pods per plant, hundred kernel weight, pod yield and kernel yield were greatly influenced by the treatments. Methods: Combination of Pressmud @ 12.5 t ha-1 + Rhizobia @ 2 kg ha-1 + 50% RDF (T7) recorded the highest and followed by the application of distillery spentwash @ 100 m3 ha-1 + Rhizobia @ 2 kg ha-1 + 50% RDF (T8). Similar trend of results was recorded in summer, 2017 also. This might be due to the increase in the availability of nutrients, which increased the growth and yield attributes of groundnut in both the seasons. Also, use of agro industrial wastes and biofertilizers in any cropping sequence minimize the cost of inorganic fertilizers, thereby act as a boom to farmers by making the waste into wealth and maintain the soil health and fertility. Result: The study revealed the scope of utilization of agro industrial wastes (bagasse ash, pressmud and distillery spentwash), organic sources (crop residues and FYM) and biofertilizer (Rhizobia) in Agriculture.
Functional assays to assess the therapeutic potential of extracellular vesicles

Abstract An important aspect in the development of extracellular vesicle (EV) therapeutics is identifying and quantifying the key features defining their identity, purity, sterility, potency and stability to ensure batch‐to‐batch reproducibility of their therapeutic efficacy. Apart from EV‐inherent features, therapeutic efficacy depends on a variety of additional parameters, like dosing, frequency of application, and administration route, some of which can be addressed only in clinical trials. Before initiating clinical trials, EV‐inherent features should be tested in well‐standardized quantitative assays in vitro or in appropriate animal models in vivo. Ideally, such assays would predict if a particular EV preparation has the potential to achieve its intended therapeutic effects, and could be further developed into formal potency assays as published by the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use guidelines. Furthermore, such assays should facilitate the comparison of EV preparations produced in different batches, on different manufacturing platforms or deriving from different cell sources. For now, a wide spectrum of in vitro and in vivo assays has been used to interrogate the therapeutic functions of EVs. However, many cannot accurately predict therapeutic potential. Indeed, several unique challenges make it difficult to set up reliable assays to assess the therapeutic potential of EVs, and to develop such assays into formal potency tests. Here, we discuss challenges and opportunities around in vitro and in vivo testing of EV therapeutic potential, including the need for harmonization, establishment of formal potency assays and novel developments for functional testing.
ACTION SPECTRA FOR LIGHT‐INDUCED DE‐EPOXIDATION AND EPOXIDATION OF XANTHOPHYLLS IN SPINACH LEAF *

Abstract— The action spectra for violaxanthin de‐epoxidation and zeaxanthin epoxidation in New Zealand spinach leaf segments, Tetragonia expansa, were determined at equal incident quanta of 2·0 × 1015 quanta cm‐2 sec‐1. Precise action spectra were not obtained due to variable leaf activity. The de‐epoxidation action spectrum had major peaks at approximately 480 and 648 nm. Blue light was slightly more effective than red light and little activity was observed beyond 700 nm. The epoxidation action spectrum showed major peaks at around 440 and 670 nm. Blue light was more effective than red light and light beyond 700 nm showed definite activity.
Conceptions of excellent teaching: a phenomenographic study of winners of awards for teaching excellence

ABSTRACT Academics nowadays are increasingly expected to implement high-quality teaching, what is frequently referred to as ‘excellent teaching’. Understandings of academics’ conceptions of excellent teaching are, however, limited, despite extensive research on different aspects of quality teaching. To address this gap, there is a need to expand the somewhat limited understanding of teaching as being located mainly within a subject matter and address the lack of a holistic appreciation of the interrelationships between teaching and other academic practices. In this study, we investigated conceptions of excellent teaching by adopting a broad view on teaching that covers curriculum design and programme leadership as well as the interaction between teaching, research and service. The research participants were twenty-four winners of awards for teaching excellence in two research-intensive universities in Hong Kong. Four conceptions of excellent teaching were identified: (1) teachers teach confidently and effectively; (2) teachers guide students to achieve the intended learning outcomes; (3) teachers empower students to develop knowledge, skills, attitudes, and values holistically; and (4) teachers work with students to enable them to own their learning and become lifelong learners. The more complex conceptions show more concerns about students’ long-term development as well as a stronger connection between student learning, academics’ research, and the wider community. A significant contribution of the research is the identification of additional conceptions of teaching excellence, including an expanded focus on students’ holistic development and connections between teaching, research, and broader academic roles.
Semi-Supervised Source Localization in Reverberant Environments With Deep Generative Modeling

Localization in reverberant environments remains an open challenge. Recently, supervised learning approaches have demonstrated very promising results in addressing reverberation. However, even with large data volumes, the number of labels available for supervised learning in such environments is usually small. We propose to address this issue with a semi-supervised learning (SSL) approach, based on deep generative modeling. Our chosen deep generative model, the variational autoencoder (VAE), is trained to generate the phase of relative transfer functions (RTFs) between microphones. In parallel, a direction of arrival (DOA) classifier network based on RTF-phase is also trained. The joint generative and discriminative model, deemed VAE-SSL, is trained using labeled and unlabeled RTF-phase sequences. In learning to generate and classify the sequences, the VAE-SSL extracts the physical causes of the RTF-phase (i.e., source location) from distracting signal characteristics such as noise and speech activity. This facilitates effective end-to-end operation of the VAE-SSL, which requires minimal preprocessing of RTF-phase. VAE-SSL is compared with two signal processing-based approaches, steered response power with phase transform (SRP-PHAT) and MUltiple SIgnal Classification (MUSIC), as well as fully supervised CNNs. The approaches are compared using data from two real acoustic environments - one of which was recently obtained at Technical University of Denmark specifically for our study. We find that VAE-SSL can outperform the conventional approaches and the CNN in label-limited scenarios. Further, the trained VAE-SSL system can generate new RTF-phase samples which capture the physics of the acoustic environment. Thus, the generative modeling in VAE-SSL provides a means of interpreting the learned representations. To the best of our knowledge, this paper presents the first approach to modeling the physics of acoustic propagation using deep generative modeling.
Efficacy of Post Emergence Herbicides in Groundnut

Background: Groundnut encounters severe infestation of weed especially during the early stages of growth due to less crop canopy which allows higher weeds growth and thus crop becomes more susceptible to weed competition. During rainy season, effective and economical weed control is not possible through manual and mechanical weeding due to unfavorable soil conditions and also the unavailability of costly labours. Herbicides have been accepted as cost effective tool to manage weed menace in groundnut. The current study aims to study the efficancy of different post-emergence and pre-mix combination of post-emergence herbicides on weeds, growth and yield of groundnut. Methods: The field experiment was conducted at AICRP Weed Management field, Department of Agronomy, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola (M.S.) during three consecutive Kharif seasons of 2015- 2017. The experiment was laid out in Randomized Block Design with ten treatments replicated thrice. The treatments comprised of one pre emergence and five different post emergence herbicides and compared with weed free and weedy check. Result: The results revealed that weed free was found most effective to control weeds in groundnut with lowest weed count, weed dry matter of weeds and maximum gross monetary returns (Rs.117641/ha), net monetary returns (Rs.80894/ha). Among the herbicides, application of Imazethapyr + Imazomox 0.10 kg /ha POE 20 DAS produced less weed count and weed dry matter and highest weed control efficiency (80.68%) and lower weed index (6.71% ) as well as maximum growth, yield attributes and pod yield in groundnut over all the other herbicidal treatments viz. plant height (30.25), dry matter accumulation (18.11g), number of pods/plant (32.35) and pod yield (2448 kg/ha) and highest pooled B:C ratio (3.74).
Ultrafast Dynamics of Highly Conjugated Porphyrin Arrays

The photophysical properties of a series of ethynyl-bridged (porphinato)zinc(II) oligomers have been investigated over the femtosecond and picosecond time scales using ultrafast magic angle and polarized pump−probe spectroscopy. Bis[(2,2‘,-5,10,15,20-tetraphenylporphinato)zinc(II)]ethyne, bis[(5,5‘,-10,20-diphenylporphinato)zinc(II)]ethyne, and 5,15-bis{[(5‘,-10‘,20‘-diphenylporphinato)zinc(II)]ethynyl}[10,20-diphenylporphinato]zinc(II) exhibit rapid (≤150 fs) formation of the emitting state following Soret photoexcitation, nearly an order of magnitude faster than the ∼1 ps S2 → S1 internal conversion observed for a monomeric (porphinato)zinc(II) complex that bears an ethyne moiety fused directly to its macrocycle carbon framework [(5-trimethylsilylethynyl-10,20-diphenylporphinato)zinc(II)]. The femtosecond and picosecond dynamics are strongly influenced by the porphyrin-to-porphyrin linkage topology: bis[(2,2‘,-5,10,15,20-tetraphenylporphinato)zinc(II)]ethyne, in which a β-to-β ethyne bridge links the t.