Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative the impact of organic and conventional strawberry cultivation on growth and productivity using remote sensing techniques under Egypt climate conditions.

Two years field experiment on strawberry plants (cv. Sweet Charlie) in Qalyubia Governorate, Egypt was carried out to study the effect of different growing conditions (organic and conventional) and the effect of some colors of plastic mulch such as clear, black, and silver on the quantitative and qualitative characteristics of the strawberry plantations using hyper spectral remotely sensed data. As the first step, spectral reflectance pattern for the different treatments (fertilization and colors of plastic mulch) was identified through in situ spectral measurements. It was found that silver plastic mulch recorded higher values with all observed vegetative and fruit traits, as compared with an organic strawberry growing systems without plastic mulch. Spectral reflectance parameters in form of vegetation indices (VIs) were examined as yield estimators and their correlation with leaf area index (LAI) was observed. Generated models with accuracy assessment were explained and the optimal vegetation index to estimate yield under each treatment was identified. Generally, it was found that fertilization has more effect on spectral characteristics than plastic mulch. Spectral vegetation indices (VIs) showed higher accuracy than LAI as yield estimators. (Spectral – yield) models showed the same trend with adequate correlation coefficient (r) exceeded (0.7) except the treatment of black plastic mulch conventional system that showed (r) less than (0.6) with two yield estimators. All generated models with an accuracy of each model are explained in the following sections.
Interest Rate Pegs and the Reversal Puzzle: On the Role of Anticipation

We revisit the reversal puzzle: A counterintuitive contraction of inflation in response to an interest rate peg. We show that it is intimately related to the degree of agents' anticipation. If agents perfectly anticipate the peg, reversals occur depending on the duration of the peg. If they do not anticipate the peg, reversals are absent. In the case of imperfect anticipation, implemented by a Markov-switching framework, we measure the degree of anticipation by the frequency of the peg regime. Even if the frequency of the peg takes on a value twice as large as empirically observed, the reversal puzzle is absent.
Effect of thyroid hormones on serum calcium and phosphorous

Introduction: Calcium and phosphorous are the two important minerals whose abnormalities are most ignored in the developing countries. The impact of calcium abnormalities ranges from abdominal pain, muscle spasms, psychiatric disorders to cardiac arrest. Other than the known regulators of calcium and phosphorous, thyroid hormones may affect the levels of calcium and phosphorous. The aim of our study is to estimate serum calcium, phosphorous and thyroid profile and to see the effect of thyroid hormones on serum calcium and phosphorous. Materials and Methods: 40 hyperthyroid and 40 hypothyroid patients were taken as cases. 40 healthy individuals were taken as controls. Thyroid profile, serum calcium and phosphorous were estimated in cases and controls. Serum calcium and phosphorous levels were compared with thyroid hormones among cases and controls. Correlation of thyroid hormones with serum calcium and phosphorous were done. Result: The mean serum calcium and phosphorous levels in hyperthyroid patients are 12.7±0.89 mg/dl and 5.1±0.68 mg/dl respectively which are increased (p value < 0.05) compared to controls. The mean serum calcium and phosphorous levels are 6.9 ± 0.93 mg/dl and 2.3 ± 1.1 mg/dl respectively in hypothyroid patients which are decreased (p value <0.05) compare to controls. Strong correlations of all thyroid hormones with serum calcium and phosphorous in hyperthyroidism and hypothyroidism is seen (p value <0.05). Conclusion: Hyperthyroidism and hypothyroidism may lead to hypercalcemia and hypocalcemia respectively, which are the cause of may disorders and disabilities. The concentration of serum calcium and phosphorous should be checked regularly in those patients.
Comparison of The Effects of Dietary Supplementation of Natural Antimicrobial Feed Additives on Lipid Oxidation, Microbial Content and Quality of Broiler Raw Meat

The study aimed to compare the effects of dietary supplementation of probiotic and olive leaf-, grape seed- and pomegranate peel extracts as natural antimicrobial on lipid oxidation, microbiological content and quality of raw broiler meat. Chickens were fed the control diet (CONT) and diets supplemented with probiotic (P), oleuropein (olive leaf extract, OLE100 and OLE200), proanthocyanidin (grape seed extract, GSE100 and GSE200) and proanthocyanidin (pomegranate peel extract, PPE100 and PPE200) at 100 and 200 mg/kg levels to the CONT diet. All dietary treatments significantly reduced MDA value of breast meat at 9th day, total aerobe bacteria and coliform bacteria contents of breast meat at 14th day. The P, OLE200, PPE100 and PPE200 diets significantly decreased lactic acid bacteria content of breast meat at 14th day. The pH value of raw breast meat at 24 h was significantly reduced by dietary treatments compared to the CONT diet. Feeding the P, PPE100 and PPE200 diets significantly increased water holding capacity of breast meat compared to those of broilers fed the CONT, GSE100 and GSE200 diets. The P, OLE200, PPE100 and PPE200 diets significantly reduced drip loss of breast meat at 7th day compared to the CONT, OLE100, GSE100 and GSE200 diets. Cooking loss of breast meat was significantly decreased by all dietary treatments except GSE diet compared to the CONT diet. It was concluded that probiotic, olive leaf- and pomegranate peel- extracts have potential to be used as natural antimicrobial feed additives in terms of the lipid oxidation, microbial content and quality of broiler meat.
Socio-economic profile analysis of dairy farmers of Yadgir district of Kalyana Karnataka region

The study was conducted on socio-economic profile analysis of dairy farmers of Yadgir district of Kalyana Karnataka region during the year 2019-2020. Dairy farming plays an important role in social and economic livelihood of the farmers. The socio-economic profile of dairy farmers revealed that majority of the farmers (63.00%) belonged to middle age group. 32.00 per cent and 23.00 per cent were educated up to middle school and high school respectively. Majority (87.00 %) of the farmers had animal husbandry plus agriculture as main occupation, 66.00 per cent were belong to nuclear family and OBC category (61.00%), majority of farmers (80%) having local cattle’s with small to medium herd size and large number of farmers belong to low milk production and getting low milk yield from local and cross breed, While, 60.00 per cent of the farmers belonged to medium mass media participation, medium extension contact (54.00 %), medium extension participation (55.00 %), medium economic motivation (56.00 %) and medium scientific orientation (50.00%).
Occupational health and safety division of responsibility: A conceptual model for the implementation of the OHSAS 18001:2007 standard1

BACKGROUND: The recent COVID-19 pandemic has brought Occupational Health and Safety (OHS) to the forefront of governmental and organizational preoccupations. Empirical research has pointed that OHS responsibility is diffused within organizations, and there is no apparent reference on whom it falls upon; even the OHSAS 18001:2007 (OHSAS 18001, 2007) standard framework generates the same confusion among organizational stakeholders. OBJECTIVE: When constituting an internal chain of responsibility, which organizational stakeholder should be responsible for each item of the OHSAS 18001:2007? The article considers how OHS tasks can be addressed from the perspective of stakeholder management. The objective is to consider the internal division of OHS responsibility between the hierarchical strata and to introduce an OHS Responsibility Multilevel Model for an organization’s internal responsibility system for the implementation of the OHSAS 18001:2007 standard. METHODS: The paper presents a qualitative assessment of the literature on the concepts of responsibility and accountability regarding OHS. First method applied was the literature review on the concepts of responsibility and accountability regarding OHS, while briefly discussing their impacts on the voluntary implementation of OHSAS 18001:2007 standard. Second, the OHS and the conditions of the COVID-19 period were synthesised to underline the research motivation and importance. Further the conceptual framework for the internal division of OHS responsibility based on a Multilevel Model for OHS stakeholders was developed based on a creative designed approach considering recent conclusions on safety leadership (OHS being situated at the confluence of top-down and bottom-up approaches in organization). RESULTS: The research results underline the relative complexity of the items in the OHSAS 18001:2007 framework; from the 68 items that are comprised under the six themes, the authors have identified 304 distinct actions. The application of the proposed OHS Responsibility Multilevel Model to the OHSAS 18001:2007 supports the interest that research literature has had for the role of top management in OHS. CONCLUSIONS: Overall, the research results propose a novel approach for improving stakeholders’ involvement (commitment) and responsibility regarding OHS practices in organization. The research findings highlight that the OHSAS 18001:2007 standard proposes the organization as primary repository of OHS responsibility.
A generalized observation confirmation model to account for false positive error in species detection-nondetection data

Spatially-indexed repeated detection-nondetection data is widely collected by ecologists interested in estimating parameters associated with species distribution, relative abundance, phenology, and more while accounting for imperfect detection. Recent model development has focused on accounting for false positive error as well, given growing recognition that misclassification is common across many sampling protocols. To date, however, the development of model-based solutions to false positive error has been largely restricted to occupancy models. We describe a general form of the observation confirmation protocol originally described for occupancy estimation that permits investigators to flexibly and intuitively extend several models for detection-nondetection data to account for false positive error. Simulation results demonstrate that estimators for relative abundance and arrival time exhibit relative bias greater than 20% under realistic levels of false positive prevalence (e.g., 5% of detections are false positive). Bias increases as true and false positives occur in more distinct places or times, but can also be sensitive to the values of the state variables of interest, sampling design, and sampling efficiency. Results from an empirical study focusing on patterns of gray fox relative abundance across Wisconsin, USA suggest that false positive error can also distort estimated spatial patterns often used to guide decision-making. The extended estimators described within typically improve performance at any level of confirmation, and when false positive error occurs at random and constitutes less than 10% of all detections, the estimators are essentially unbiased when more than 50 observations can be confirmed as true or false positives. The generalized form of the observation-confirmation protocol is a flexible model-based solution to false positive error useful for researchers collecting data with sampling devices like trail or smartphone cameras, acoustic recorders, or other techniques where classifications can be reviewed post-hoc.
Repertoire-Based Diagnostics Using Statistical Biophysics

A fundamental challenge in immunology is diagnostic classification based on repertoire sequence. We used the principle of maximum entropy (MaxEnt) to build compact representations of antibody (IgH) and T-cell receptor (TCRβ) CDR3 repertoires based on the statistical biophysical patterns latent in the frequency and ordering of repertoires’ constituent amino acids. This approach results in substantial advantages in quality, dimensionality, and training speed compared to MaxEnt models based solely on the standard 20-letter amino-acid alphabet. Descriptor-based models learn patterns that pure amino-acid-based models cannot. We demonstrate the utility of descriptor models by successfully classifying influenza vaccination status (AUC=0.97, p=4×10-3), requiring only 31 samples from 14 individuals. Descriptor-based MaxEnt modeling is a powerful new method for dissecting, encoding, and classifying complex repertoires.
A Novel Boost Cascaded Multilevel Inverter

This article presents a novel cascaded multilevel inverter as an alternative to the cascaded H-bridge (CHB). By adopting two H-bridges integrated with two inductors and two power switches, the proposed topology is able to generate a five-level voltage with merely a single dc source. Voltage-boosting capability is guaranteed despite its single-stage operation. A corresponding modulation technique is also established to charge the boost inductors with a constant duty-cycle while simultaneously generating a five-level ac voltage. Therefore, the proposed topology outperforms the CHB in reducing the isolated dc source count, enhancing the voltage gain, and lowering the dc source voltage magnitude. In addition, the modularity is preserved, where the proposed topology can be extended by cascading multiple modules. The operation and feasibility of the proposed cascaded multilevel inverter is analyzed and validated through simulation and experimental results.
The effect of biostimulators on the content of crude oil and total protein in winter oilseed rape (Brassica napus L.) seeds

ABSTRACT The objective of the study was to determine the effect of the experimental factors on the seed quality of three winter oilseed rape cultivars. The following factors were studied: I-three winter oilseed rape morphotypes: population, hybrid restored characterised by a semi-dwarf growth pattern, hybrid restored characterised by a conventional growth pattern; II-two sowing methods: a spacing of 22.5 cm, a spacing of 45.0 cm; III-four types of biostimulants: control-no biostimulants, the biostimulant Tytanit®, Asahi®SL, Silvit®. Seed samples were subjected to chemical analysis to determine: crude oil, total protein and crude fibre. Natural stimulants of plant growth and development contributed to an increase in crude oil ranging from 7.4 to 9.5 g kg–1 d.m. , on average, compared with control. The biostimulants applied did not affect total protein content which was, however, affected by meteorological conditions in individual study years as well as the genetic factor. Biostimulants increased crude fibre content compared with control.
Utilization of a toolkit to improve control of hypertension in a Black urban population

4 Introduction.5 Background & Significance.6 Needs Assessment.7 Problem Statement.10 Clinical Question.10 Aims and Objectives.11 Review of Literature.11 Theoretical Framework.19 Methodology.22 Project Design.22 Project Setting.23 Study population.24 Subject Recruitment.24 Consent Procedure.25 Risk/Harms/Ethics.25 Subject cost and Compensation.25 Project Timeline.25 Resources and Economic Considerations.26 Evaluation Plan.26 Data Analysis Plan.26 TOOLKIT FOR HYPERTENSION MANAGEMENT 3 Data Maintenance and Security.26 Methods.27 Set Up and Description of Analysis.28 Analysis.29 Project Objectives.32 Facilitators and Barriers.32 Implications and Recommendations.34 Clinical Practice.34 Healthcare Policy.35 Quality and Safety.36 Education.37 Economic.38 Other as Related to Project.39 Sustainability.40 Professional Reporting.41 Summary.42 Tables.44 Appendices.50 References.75 TOOLKIT FOR HYPERTENSION MANAGEMENT 4
A Cross-Sectional Survey of Brucellosis in Small Ruminants of District Jhang, Punjab, Pakistan

Background: Brucellosis is a bacterial zoonotic disease having a wide host range and global zoonotic importance. It has great public health importance in most of the countries, where livestock is a major source of food and income. High-risk individuals include animal handlers that are at great risk of getting an infection because bacterial transmission occurs from all body fluids from an infected animal. Objective: A randomized cross sectional survey was conducted to check the period prevalence of brucellosis in small ruminants in different areas of district Jhang. Methods: Serum samples were collected along with a questionnaire for this purpose. Different risk factors like age, sex, specie, feeding protocol, abortion history, type of herd, herd size, location were observed using a questionnaire. A total of 280 serum samples (136 caprine and 144 ovine) were collected and subjected to Rose Bengal precipitation test for screening of brucellosis. Results: Overall sero-positivity was 5.5% after confirmation with Indirect ELISA. 21 samples out of 280 were seropositive after RBPT screening and 14 out of 21 were confirmed seropositive for brucellosis by indirect ELISA. According to p value after statistical analysis, all the risk factors except feeding protocols, abortion and age in the case of sheep had no significant results. According to the odds ratio, all the selected risk factors have an association with disease prevalence. In females (6.25%) there is more sero-positivity than male (1.39%). Sheep (8.09%) had more seropositivity than goats (2.08%). Out of three age groups ( 5 years)>5 years (6.78%) animals had more seropositivity than 50 animals (10.94%) had more seropositivity than ≤ 10 (3.17%), 10-30 (1.61%) and 30-50 (10.34%). Mix animal species within-herd had more chance of sero-positivity than the pure herd. Grazing practice for feeding of animals (7.02%) had more sero-positivity than stall feeding (1.83%). Conclusion: Brucellosis was endemic in the study design area which is a risk not only for the animal’s population but also for humans.
Reply to “Comment on Geodesic Cycle Length Distributions in Delusional and Other Social Networks”

Abstract Martin (2020) describes a misinterpretation of exponential random graph (ERGM) parameters in my contribution (Stivala 2020), with the use of this parametric model obscuring, rather than illuminating, the data. He suggests that this is symptomatic of a trend in the social networks community towards a methodological monoculture focussed on the use of ERGMs. In this Reply I try to clarify how this situation arose in this specific case, and address some more general issues Martin raises, including the use of nodal covariates, what we can learn from ERGMs, and methodological monoculturalism in social network research.
Eutrophication in Lake Rotorua. 1. Using OVERSEER to estimate historic nitrogen loads

ABSTRACT Nitrogen concentrations are increasing and causing eutrophication in many New Zealand waterways, including Lake Rotorua. Groundwater (mean age 35 to 170 years) dominates lake inflows, and nitrogen losses from farmland may take several decades to reach the lake. This study collates published agricultural statistics and estimates farm losses from 1900–2015 using the OVERSEER model. Changes in survey methods, reporting only at district scale, and uncertainty in OVERSEER mean that uncertainty in losses averages ±50%. Nevertheless, there is a clear trend of increasing nitrogen losses arising from the intensification of farming which mimics the trend in measured stream loads. From 1958 to 2015 farm losses doubled and now comprise c. 80% of lake load. OVERSEER provides a quantitative index of the changes in nitrogen losses, which in a companion paper are routed to the lake accounting for groundwater lags and attenuation.
Nonlinear Secondary Voltage Control of Islanded Microgrid via Distributed Consistency

Since intermittent nature of distributed generation and uncertainty in load behavior, the existing secondary control are not sufficient to deal with robustness and fast response. In this paper, attacked from a cooperative based control perspective inspired to the tracking consistency paradigm, a robust nonlinear distributed secondary voltage controller is proposed to achieve fast compensation for the islanded microgrid. Employing sparse communication, the proposed control strategy can achieve a compromise between the conflicting goals of voltage regulation and reactive power sharing. As the distributed architecture only requires the information of its own and its neighbor, the use of centralized controllers is avoided and the flexibility and scalability of system can be enhanced. Finally, the stability analysis is provided and the simulation results are presented to verify control performance under rapid load changes, robustness under communication failure, and flexibility during plug-and-play operation.
THE EFFECT OF SILICON FOLIAR AND ROOT APPLICATION ON GROWTH, PHYSIOLOGY, AND ANTIOXIDANT ENZYME ACTIVITY OF WHEAT PLANTS UNDER CADMIUM TOXICITY

Silicon (Si) application can boost plant growth and physiology under heavy metal toxicity. The article aimed to investigate how the foliar and root application of silicon (Si) affects the uptake, translocation, and concentration of cadmium (Cd) for winter wheat (Triticum aestivum L.), and in turn the plant’s growth, physiology, and antioxidant enzyme activity, using a complete randomized block design (CRBD)? For this purpose, we used twelve treatments consisting of two levels of Si (0 and 3 mM Na2SiO3) against four levels of Cd (0, 50, 100, and 200 μM CdCl2) with three replications. Results showed that all levels of Cd significantly enhanced membrane permeability measured as malonyldialdehyde (MDA) content, osmotic stress measured as hydrogen peroxide (H2O2) content, and triggered the enzymatic and non-enzymatic antioxidant system, resulting in a severe reduction in the growth of wheat seedlings. Besides, Si application either as root (SiR3) or foliar spray (SiF3) remarkably encountered Cd toxicity by further improving antioxidative enzymes activities, and by hindering Cd uptake, but more significant results were recorded for SiR3. Therefore, it might be established that Si root supplementation inhibited Cd translocation from root to shoot more effectively than foliar application, thereby lowering the potential health risk of Cd
Comparative analysis of rDNA distribution in 29 species of Begonia sect. Coelocentrum Irmsch.

The rDNA sites are useful chromosome landmarks and can provide valuable information for species identification and species relationships. In this study, we investigated the distribution of 5S and 45S rDNA sites in 29 species of Begonia sect. Coelocentrum Irmsch. using a two-colour fluorescence in situ hybridization (FISH) technique. This is the first report of chromosomal rDNA mapping in Begonia species. The analyzed species showed considerable diversity in rDNA distribution patterns. The 45S rDNA signals are always located in terminal regions on 1−4 chromosomes, while 5S rDNA signals are mainly located at proximal regions on 2−8 chromosomes, varying from specific major signals to highly dispersed minor signals. Based on rDNA FISH patterns, most of the investigated species could be distinguished from each other and species relationships were identified. In addition, the results provided clear proof that B. huangii is of hybrid origin and the triploid B. longgangensis was allotriploid rather than autotriploid as suggested before. The data will provide a useful reference for evaluation, conservation and utilization of the natural resources of the mega-diverse genus Begonia.