Miracle-dz/UniFAR-FTUs huggingface dataset:
Chlorophyll meter readings, N leaf concentration and their relationship with N use efficiency in oregano

ABSTRACT Plant-based diagnostic techniques such as chlorophyll meter (CM) readings and nitrogen (N) leaf concentration are used to determine the level of crop N nutrition, but research is limited on perennial crops and especially on aromatic and medicinal plants such as Greek oregano (Origanum vulgare spp. hirtum). The objectives of this study were to determine in a perennial crop species whether there is a relationship between the CM readings, N leaf concentration, and N use efficiency (NUE) and to use CM readings as a diagnostic tool for predicting dry matter yield in response to N fertilization. The CM readings varied across environments, growth stages, and fertilization treatments and were correlated with NUE. NUE was also affected by the environment, N fertilization, and interactions among these variables. This study provides new information about the effect of N application on CM readings, N leaf concentration, and NUE in a perennial crop such as oregano.
Oxaenediynes through the Nicholas-Type Macrocyclization Approach

The Nicholas-type macrocyclization has been used for the first time for the synthesis of 10- and 11-membered oxaenediynes fused to a benzothiophene. The acyclic starting materials were easily synthesized by electrophilic cyclization of o-(buta-1,3-diynyl)thioanisoles followed by a Sonogashira coupling of the resulting 2-ethynyl-3-iodobenzothiophenes with functionalized alkynes. A high reactivity of the 10-membered oxacycles in the Bergman cyclization was predicted by DFT calculations and confirmed by differential scanning calorimetry. The ability of enediynes to induce single-strand PM2 DNA scissions was also found.
Let’s talk about sexual health education: Youth perspectives on their learning experiences in Canada

Abstract:Education, and by extension, school-based sexual health education for youth, falls under provincial and territorial jurisdiction in Canada, creating a tapestry of educational experiences across the country. Previous research has found general support for providing sexual health education in schools as reported by teachers, parents, and college/university students. The current study further explores this topic through an examination of the perspectives and opinions of high-school aged youth. The purpose of this study was to develop knowledge to better understand sexual health education experiences in Canada and help determine the extent to which youth feel informed and well supported to develop and maintain their sexual health and participate in healthy sexual and/or romantic relationships. Twelve focus groups were conducted with youth (ages 12–19) across Canada and the transcripts were analyzed using thematic analysis. A total of 10 themes were identified related to what and how youth would like to learn, including four themes about the context and delivery of sexual health education and six themes about the content of sexual health education. Study findings highlight the need for youth perspectives when developing, implementing and evaluating sexual health education and provide insight to help inform recommendations for where educational improvements are warranted.
Microclimates in Fumarole Ice Caves on Volcanic Edifices—Mount Rainier, Washington, USA

The fumarole ice caves of Mount Rainier in the Cascade Volcanic Arc in Washington, USA, provide unique insight into the dynamic equilibrium between thermal flux of fumaroles on volcanic edifices and snow accumulation on summit glaciers. More than 3.5 km of surveyed cave passage nearly circumnavigate the East Crater, reaching within 19 m of the 4,392 m summit and extending to 144 m depth along the glacier‐crater boundary. The large circum‐crater passage connects entrances on the crater rim to steep transverse passages, and cave morphology is maintained by fumarole gas convection and advection. A melt‐ and condensate‐formed lake, Lake Adélie, occupies a portion of the circum‐crater passage. Hourly data were collected between August 2016 and August 2017 and included the measured temperatures at three fumaroles, the cave air temperature and pressure, the lake water temperature and depth, and the outside temperature and snow depth at Paradise Visitors Center. Time‐series analyses of these data reveal complex associations between synoptic to seasonal weather, fumarole activity, and lake level. On seasonal and longer scales, fumarole temperatures follow independent pathways connected to spatial and temporal changes in volcanic heat flux and the circulation of glacial melt. Major snowfall seals the cave entrances, increasing cave air temperature and pressure from fumarole output and causing rising lake levels from increased melt until entrances reopen. Repeating freeze‐thaw cycles observed in the cave monitoring data are a primary cause of crater mass wasting. Despite these transient variations, the scale and morphology of the caves is preserved over decadal or longer scales.
Demand for environmental quality: averting behaviors impacts and valuation in Southern Ghana

Using a cluster randomized evaluation in Southern Ghana, this paper estimates the impacts of water quality testing and information on averting behaviors, demand and expenditures on water, sanitation and hygiene (WASH). Households are randomly assigned into either child treatment or adult treatment or comparison group. The study also elicits households' valuation of water quality testing and information using a stated preference approach. The study finds that averting behaviors and expenses on WASH increased more in the treatment households than the comparison households. The results also show that the experiment does not lead to demand for WASH information and infrastructure, except for water treatment in the adult treatment group. Contingent valuation estimates of households' willingness to pay (WTP) for water quality testing and information are lower than the cost, and are consistent with previous studies which show low valuation of water quality technology in Ghana. The WTP in the treatment groups are lower than the comparison group. The study also finds differential impacts on some of the outcome measures based on the random assignment into the treatment groups. The results have research and policy implications on the demand for preventive health goods and environmental quality in developing countries.
Development of a list of terms in Brazilian Portuguese for the Qualitative Behaviour Assessment of broiler chickens

Qualitative Behaviour Assessment (QBA) is a methodological approach to assess the whole animal using terms to describe and quantify the emotionally expressive qualities of behaviour and identifying larger patterns of expressivity through multi-variate statistical integration. A key condition for the success of QBA is achieving a common understanding of the meaning of descriptive terms by raters. Based on this, our study aimed to develop a list of terms in Brazilian Portuguese for the QBA of broiler chickens (Gallus gallus domesticus), and to test this list by studying its interand intra-rater reliability. Fourteen experts participated in a workshop and developed a list of 25 QBA terms, and 40 undergraduates tested this list by scoring 18 video clips using a 125-mm visual analogue scale. Principal Component Analysis was used to analyse observers’ scores. Principal Component (PC) 1 ranged from disturbed/frustrated to comfortable/lively, suggesting this PC may be interpreted in terms of emotional valence. PC2 ranged from calm/dull to agitated/active, suggesting this PC indicates the level of arousal/energy of the birds. Both PC1 and PC2 clip scores showed good interand intra-rater reliability. This study demonstrates the importance of producing QBA term lists bottom-up as opposed to merely translating pre-existing lists from the scientific literature. Results suggest the standardised Portuguese QBA term list developed in this study is reliable in assessing the expressive qualities of broiler behaviour; therefore, a next step is to test it on-farm with experienced raters and further refine it concerning terms related to poor welfare.
Why Do Firms Participate in Voluntary Environmental Programs? A Meta-Analysis of the Role of Institutions, Resources, and Program Stringency

We meta-analyze research on why firms join voluntary environmental programs (VEPs) to assess the impact of program stringency, or the extent to which they have rigorous, enforceable standards on these decisions. Stringency creates trade-offs for firms by affecting programs’ effectiveness, legitimacy, and adoption costs. Most research considers singular programs and lacks cross program variation needed to analyze program stringency’s impact. Our meta-analysis addresses this by sampling 127 studies and 23 VEPs. We begin by identifying common institutional and resource-based drivers of participation in the literature, and then analyze how program stringency moderates their impacts. Our results suggest that strictly governed VEPs encourage participation among highly visible and profitable firms, and discourage it when informal institutional pressures are higher, and firms have prior experience with other VEPs or quality management standards. We demonstrate that VEP stringency has nuanced effects on firm participation based on the institutional and resource-based factors facing them.
An anti-fouling poly(vinylidene fluoride) hybrid membrane blended with functionalized ZrO2 nanoparticles for efficient oil/water separation

Recent advances in the fabrication of organic–inorganic hybrid membranes have received a lot of attention in membrane technology for oily wastewater treatment. In this work, a hydrophilic PVDF hybrid membrane based on poly(N-acryloylmorpholine)-grafted ZrO2 nanoparticles (ZrO2-g-PACMO), was prepared via a simple phase inversion method. PACMO was firstly grafted onto the ZrO2 nanoparticles via radical polymerization, avoiding the aggregation of ZrO2-g-PACMO nanoparticles that was characterized by a sedimentation test. Then, the effects of the ZrO2-g-PACMO nanoparticles on the structures and performances of resultant hybrid membranes were systematically investigated. The cross-section and surface morphology of the hybrid membranes were observed by field emission scanning electron microscopy and atomic force microscopy. The results indicated that the higher concentration of ZrO2-g-PACMO nanoparticles in the casting solution led to a thicker sponge-like sub-layer and a rougher surface of hybrid membranes. The prepared PVDF/ZrO2-g-PACMO hybrid membrane exhibited a lower amount of adsorbed protein than that of the pristine PVDF membrane. This behavior was revealed by pure water contact angle measurement and force–extension curves. It was also found from the oil/water filtration that the total fouling (Rt) and irreversible fouling (Rir) were remarkably reduced, because of the higher hydrophilicity of hybrid membranes. Furthermore, the as-prepared membranes possessed also improved separation efficiency against oil/water mixtures and the rejection ratio was as high as 99.9%. Generally, a PVDF/ZrO2-g-PACMO membrane may provide potential application for efficient oil/water separation.
Thermal signatures of liquid droplets on a skin induced by emotional sweating

ABSTRACT As a result of physiological thermoregulation, human eccrine sweat glands produce sessile droplets on the skin. This paper studies the thermal signatures associated with droplet dynamics on the face and the fingers of an individual using a mid-wave infrared camera. The thermal image analysis focuses on the morphology and evolution of individual droplets induced by various emotional stimuli. We follow the growth and evaporation rate of droplets with different lifetimes ranging from seconds to tens of seconds. The results are of interest in the fields of medicine and psychophysiology (in the studies of human emotional sweating) or physics (for the development of models of evaporative surface cooling).
Sepsis: Antibiotic Resistances of Gram-Positive and Gram-Negative Bacterial in a Tertiary Care Hospital

Introduction: Sepsis is a systemic infection that causes multiorgan failure and death. The death rate that is caused by sepsis is increasing. This high value of death has a correlation with the resistance of antibiotics. However, increased antibiotic resistance is not balanced with new research about antibiotics. As a consequence, it causes difficulties in handling sepsis patients who need antibiotic 1-2 hours after diagnosis is enforced. Methods: This was a descriptive study with case study design to analyze medical records of the patients, evaluating the pattern of bacterial resistance to antibiotic in 221 patients with sepsis with 240 blood isolates to identify. Results: From 221 patients identified as sepsis, there were 97 male patients (43.9%) and 124 female patients (56.1%), mostly between 18-59 years old (63.8%), with the highest level in female (54.8 %) and elderly (66.3%). The bacteria that caused the most sepsis were gram-positive. The most species in gram-positive are Staphylococcus haemolyticus (16.3%) and Staphylococcus aureus (12.5%), and the most species in gram-negative is Escheriichia coli (13.3%). The most sensitive antibiotics in gram-positive bacteria were Piperacillin-Tazobactam (100%), Daptomycin (99.2%), and Clindamycin (99.2%). The sensitive antibiotics in gram-negative bacteria were Amikacin (85.9%), Cefoperazone (84.6%), and Piperacillin-Tazobactam (84.1%). Conclusion: The most sensitive antibiotics in gram-positive bacteria were Piperacillin-Tazobactam, Daptomycin, and Clindamycin. The sensitive antibitics in gram-negative bacteria were Amikacin, Cefoperazone, and Piperacillin-Tazobactam.
A New Improved Algorithm for Aeromagnetic Compensation

Magnetic compensation is a necessary step in aeromagnetic data processing. The aeromagnetic compensation model is a linear regression model, but the model has multiple collinearity problems, which will reduce the performance of the compensation model. In view of this problem, we propose a deep autoencoder (DAE) aeromagnetic compensation algorithm. The DAE network extracts the features of the data by learning the compressed representation of the coefficient matrix, thereby weakening the correlation between the coefficient matrix variables. The feature obtained after dimension reduction is used for compensation calculation. The DAE algorithm is verified by Unmanned Aerial Vehicles, and the results show that the compensation quality of the DAE is better than the least squares algorithm.
Dynamics of Soil Nitrogen Availability Following Sunn Hemp Residue Incorporation in Organic Strawberry Production Systems

Sunn hemp (Crotalaria juncea L.), as a summer leguminous cover crop, is often grown before fall planting of strawberries (Fragaria ×ananassa Duch.) in Florida. Although sunn hemp has been suggested as a green manure for supplying nitrogen (N) to subsequent crops, limited information is available regarding the contribution of sunn hemp biomass to soil N availability in Florida sandy soils with low levels of organic matter. This is especially true for organic strawberry production where nutrient management remains one of the major yield-limiting factors. This study was conducted in Citra, FL, and assessed the dynamics of N availability after soil incorporation of sunn hemp in organic strawberry production systems established on sandy soils in a subtropical environment. Sunn hemp was planted at a seeding rate of 44.9 kg·ha−1 on 19 July 2017 and 24 July 2018 and terminated 65 days after seeding; a summer weedy fallow was used as the control. Containerized strawberry seedlings of Sweet Sensation® ‘Florida127’ were transplanted on 13 Oct. 2017 (22 days after sunn hemp incorporation) and 4 Oct. 2018 (8 days after sunn hemp incorporation). Immediately after sunn hemp incorporation, anion exchange membranes (AEMs) were buried in the soil to monitor soil NO3-N fluxes, together with traditional soil testing to measure extractable soil NO3-N concentrations. In the 2018 season, soils incorporated with sunn hemp residues were also incubated in the laboratory at 24 °C over 8 weeks to determine the N release pattern by quantifying soil NO3-N and NH4-N. Overall, nitrate fluxes monitored by AEMs in the first 3 weeks after sunn hemp incorporation were significantly higher in the sunn hemp treatment than in the weedy fallow control (by 66% to 185%) in both years. Sunn hemp incorporation also led to a considerable increase in extractable soil NO3-N concentration (by 20% to 94%). The early and fast release of plant available N (PAN) from sunn hemp residues was confirmed by the 8-week laboratory incubation study, which demonstrated that the net N mineralization rate of sunn hemp remained highest over the first 2 weeks of the incubation period. Sunn hemp showed a positive impact on organic strawberry early-season fruit yield in both years, with significant increases in marketable (by 59%) and total (by 52%) fruit weight yields and marketable fruit number (by 46%) in 2017 and total fruit number (by 15%) and weight yield (by 14%) and marketable fruit number (by 13%) in 2018. Given the typical waiting period between sunn hemp residue soil incorporation and strawberry planting as well as the lag in nutrient uptake shortly after transplanting, a large fraction of N released from sunn hemp residues is likely not taken up by strawberry plants. Our findings highlight the challenges of using sunn hemp residues to improve N availability for meeting crop demand and enhance fruit yield in organic strawberry production while minimizing environmental N losses in Florida sandy soils.
THE INFLUENCE OF ASYMMETRIC INFORMATION ON FOREIGN CAPITAL INFLOWS IN ASEAN PLUS THREE COUNTRIES

This paper examines the influence of asymmetric information on foreign capital inflows in ASEAN PLUS THREE (ASEAN+3) countries. Linking capital flows to stock market setting, it substantiates other efforts concerning the debatable issues of the effect of asymmetric information on foreign direct investment (FDI) and foreign portfolio investment (FPI). The asymmetric information is captured through the stock market microstructure perspective on the width and depth dimensions using highly frequency cross sectional data from year 2000 to 2015. Roll and Amivest models are employed to quantify the width and depth aspects of the asymmetric information. Employing the panel data technique, the results demonstrate the significant effect of market transparency on foreign capital inflows specifically the FDI as compared to the FPI. An increase in the width and depth analysis based on the Amivest model signifies a high informational transparency, thus shows a lower asymmetric information which consequently leads to the high foreign capital inflows. The results of the study provide information to the policymakers in monitoring capital inflows on the aspect of market transparency and highlight the importance of the stock market microstructure in assessing the asymmetric information for ASEAN+3 countries.
Cerebrovascular disease in patients with cognitive impairment: A white paper from the ESO dementia committee – A practical point of view with suggestions for the management of cerebrovascular diseases in memory clinics

Purpose Practical suggestions on clinical decisions about vascular disease management in patients with cognitive impairment are proposed. Methods The document was produced by the Dementia Committee of the European Stroke Organisation (ESO) based on the evidence from the literature where available and on the clinical experience of the Committee members. This paper was endorsed by the ESO. Findings Vascular risk factors and cerebrovascular disease are frequent in patients with cognitive impairment. While acute stroke treatment has evolved substantially in last decades, evidence of management of cerebrovascular pathology beyond stroke in patients with cognitive impairment and dementia is quite limited. Additionally, trials to test some daily-life clinical decisions are likely to be complex, difficult to undertake and take many years to provide sufficient evidence to produce recommendations. This document was conceived to provide some suggestions until data from field trials are available. It was conceived for the use of clinicians from memory clinics or involved specifically in cognitive disorders, addressing practical aspects on diagnostic tools, vascular risk management and suggestions on some therapeutic options. Discussion and conclusions The authors did not aim to do an exhaustive or systematic review or to cover all current evidence. The document approach in a very practical way frequent issues concerning cerebrovascular disease in patients with known cognitive impairment.
Analysis of Diabetic Mellitus Using Predictive Algorithm – A Literature Review

An enormous development of Technology growth of healthcare contains plenty number of data. To access a massive data, we are using Big Data Analytics. Diabetes is a leading disease and causes a death & economic development. In healthcare industries doctor prescribed medicine to the patient based on patient medical history and measurement of sugar level. Predictive algorithm helps to analysis, detect and predict disease at early period. It helps doctor to diagnosis disease and gives treatment to the patient respectively. The moto of the paper to research the diabetes prediction with help of Predictive analysis algorithm to predict the diabetes disease accurately. causes due to family heredity and environment factors. The family history shows a higher risk of diabetes in close family members. The classification is used to predict the diabetes results in accurate manner. The moto of analysis tasks were to understand the concepts of Predictive algorithm which is used to anticipate diabetics.
Understanding tourist mobile hotel booking behaviour: Incorporating perceived enjoyment and perceived price value in the modified Technology Acceptance Model

This study examines how mobile technology adoption influences customers' intention to book hotel rooms via smartphone. This study empirically incorporated perceived enjoyment and perceived value in the modified Technology Acceptance Model (m-TAM) and tested it as a unified model. Partial Least Square-Structural equation modelling (PLS-SEM) was applied to estimate the proposed research framework based on the survey data collected from 386 travellers who booked hotels via their smartphones. The structural model confirms perceived usefulness, perceived ease of use, perceived enjoyment, and perceived price value significantly influence consumers' behavioural intentions toward mobile hotel booking. This study confirms that TAM can be extended and employed to predict and explain the acceptance of the new technologies in service industries. This study also provides valuable theoretical contributions in developing and testing related theories and practical implications to hotel operators, online travel agencies (OTAs), and hospitality technology suppliers.