Miracle-dz/UniFAR-FTUs huggingface dataset:
What Means Wellbeing? Distinction of Two Discourses on Well-being -Conceptual and Theoretical Reflections

The article offers a new contribution to an existing discussion about well-being in defining the difference between a public health discourse and a pedagogical discourse, and the difference between a causal logical and a reflectivity paradigm, build on empirical informed theoretical analysis. The principal conclusion is: If efforts to promote well-being can be seen as a cross-professional responsibility, it is crucial that the relevant professionals meet across these well-being discourses, that children and young people’s well-being is viewed as a complex matter and challenge, and that professionals are challenged on their understanding, and capable of meeting different expectations, of well-being.
An observational study to verify the influence of different nutritional corn silage-based strategies on efficient use of dietary nutrients, faecal fermentation profile, and profitability in a cohort of intensive dairy farms

Abstract Sixty-six dairy farms (as average, 167.0 ± 106.5 milking cows and milk yield of 31.4 ± 5.1) were visited to identify different nutritional approaches adopted in dairy cows diet formulation. Forage, TMR, faecal, and milk samples from lactating herds were collected and diet composition, in vitro methane production, in vivo nutrient digestibility, faecal fermentation profile and milk yield and milk quality were characterised. A hierarchical cluster analysis was applied and six nutritional approaches in diet formulation corresponding with six different clusters (CL) were identified. The CL discriminated the farm feeding choices in the following nutritional strategies, based on high use of: (i) high moisture corn (HMC) and legume silage, (ii) compound feed, (iii) corn and soy meals, (iv) HMC and soy meal, (v) corn meal and protein compound feeds, or (vi) HMC and protein compound feed strategies, respectively for CL1 to CL6. The milk yield tended (p = .061) to differ among CL. The greatest (>1.60) feed efficiency was calculated for CL1 and 5, whereas the lowest (<1.45) for CL 2. The CL2 and 5 had the highest feed costs (i.e. 0.24 or 0.22 €/kg of milk, respectively). Interestingly, the high use of HMC or steam flaked corn resulted associated to higher farm performances. Particularly, HMC and legume silage (CL1), HCM and soy meal (CL4) and HCM and protein compound feed (CL6) nutritional strategies resulted more efficient and profitable, having the greatest feed efficiency, protein and starch degradability as well as income over feed costs. Differentiate carbohydrates in dairy cow diets seems highly convenient. HIGHLIGHTS Six different nutritional strategies were identified based on use of single ingredients and a great variability in both economic and feed efficiency was observed for dairy farms clustering into different groups The use of high moisture ear corn in substitution of corn meal increased dry matter intake, feed efficiency, milk yield and lactose content of milk, whereas the use of steam flaked corn reduced the faecal fermentations The in vitro methane emission potential of diets did not differ among clustered nutritional strategies
Plant-Based Bioinsecticides for Mosquito Control: Impact on Insecticide Resistance and Disease Transmission

Simple Summary Mosquito-borne diseases cause millions of deaths each year. There has been an increase in the use of insecticides to combat disease transmission caused by mosquitoes. Synthetic insecticides have been effectively used to protect humans from mosquito bites through insecticide-treated mosquito nets, fabrics, and indoor sprays. Despite the considerable progress made in reducing mosquito borne diseases, extensive usage of insecticides has caused serious health problems to humans and animals, insecticide resistance or insensitivity in mosquitoes, and environmental damage. A success in the fight with mosquito disease transmission can only be accomplished by adequate and effective implementation of insecticide resistance monitoring and management programs globally. For this purpose, extensive research focuses on exploring insecticide resistance mechanisms in mosquitoes and how they get resistant to chemical applications over time. The search also focuses on novel compounds that are more effective, safer, and eco-friendly for improved management of mosquito vectors. In this review, we provide the current literature on the synthetic insecticides and how mosquitoes develop resistance to them, with further emphasis on bioinsecticides that could replace conventional synthetic insecticides. In this context, plant-based compounds are explained in detail with their potential applications to control mosquitoes. Abstract The use of synthetic insecticides has been a solution to reduce mosquito-borne disease transmission for decades. Currently, no single intervention is sufficient to reduce the global disease burden caused by mosquitoes. Problems associated with extensive usage of synthetic compounds have increased substantially which makes mosquito-borne disease elimination and prevention more difficult over the years. Thus, it is crucial that much safer and effective mosquito control strategies are developed. Natural compounds from plants have been efficiently used to fight insect pests for a long time. Plant-based bioinsecticides are now considered a much safer and less toxic alternative to synthetic compounds. Here, we discuss candidate plant-based compounds that show larvicidal, adulticidal, and repellent properties. Our discussion also includes their mode of action and potential impact in mosquito disease transmission and circumvention of resistance. This review improves our knowledge on plant-based bioinsecticides and the potential for the development of state-of-the-art mosquito control strategies.
PREDICTIVE RELEVANCE OF DIFFERENT CLINICAL AND LABORATORY FINDINGS FOR HIGHER MORTALITY IN PATIENTS WITH COVID-19 IN A SINGLE CENTER COHORT: NEUTROPHIL/ LYMPHOCYTE RATIO, HIGH CRP, GGT AND CREATININE LEVELS ARE ASSOCIATED WITH HIGH MORTALITY

Objective: Early detection of mortality risk is important in patients diagnosed with of coronavirus disease 2019 (COVID-19). Therefore, we aimed to evaluate the predictive value of different clinical and laboratory parameters in disease severity and mortality in patients with COVID-19. Materials and Methods: Patients admitted to hospital with a diagnosis of COVID-19 were evaluated retrospectively. The patients' admission date, discharge date, intensive care transfer/death date, contact history, smoking, symptoms at the time admission, vital markers at admission, and laboratory parameters were recorded. Results: The study included a total of 347 patients, of whom 168 (48.4%) were women. The mean age of the patients was 59.69 +/- 16.87 (14-97) years, while 40.9% (n=142) were aged over 65 years. Overall, 10.1% (n=35) of the patients required transfer to an intensive care unit and 8.4% (n=29) were deceased. When clinical parameters were evaluated at the time of admission, oxygen saturation was found to be lower in the group that died. (79.51 +/- 6.95) compared to the survivors (88.78 +/- 6.11) (p<0.001). Additionally, male gender (p=0.05), advanced age (p<0.001), positive PCR result (p=0.036), congestive heart failure (p=0.044), severe COVID-19 involvement on thorax CT (p<0.001), and presence of at least one comorbidity (p=0.003) were observed at a higher rate in the mortality group. In the multivariate analyses, increased values of the NLR (HR: 1.04, 95% CI: 1.00-1.08), creatinine (OR: 1.37, 95% CI: 1.13-1.66), CRP (=-0.18, OR: 0.98, 95% CI: 0.97-0.99), GGT (OR: 1.006, 95% CI: 1.001-1.012), age (OR: 5.67, 95% CI: 2.24-14.38), male gender (OR: 2.38, 95% CI: 0.98-5.75), and presence of any comorbidity (OR: 5.23, 95% CI: 2.08-13.13) were associated with mortality. Conclusions: Several clinical and laboratory parameters, such as advanced age, male gender, presence of any comorbidity, and NLR, GGT, CRP and creatinine levels at the time of admission can predict mortality in COVID-19 patients. These parameters obtained at the time of admission can contribute to the reduction of mortality through a closer clinical and laboratory follow-up in these patients.
Tidal and Physicochemical Effects on Phytoplankton Community Variability at Tagus Estuary (Portugal)

The Tagus Estuary is one of the largest estuaries in Europe and merges large urban and industrial areas. Understanding phytoplankton community variability is key for an appropriate assessment of the estuarine ecological status. The objective of the present study was to assess the importance of the tidal influence over the phytoplankton community and to evaluate its main drivers of variation. Weekly sampling was performed at two stations on the Tagus Estuary with different anthropogenic pressures (Alcântara and Barreiro). The sampling covered periods with different tidal amplitude. Alcântara presented both the lowest and highest concentrations of dissolved inorganic nitrogen (DIN) and orthophosphate concentration (DIP), depending on the tidal height. Such high variability in this sampling station is probably due to its proximity to a sewage treatment station outfall and to the estuary mouth. In the present study, both seasonal and tidal variations influenced the chlorophyll a concentration of which the tidal cycle explained up to 50% of the chlorophyll a variations. Chlorophyll a displayed a seasonal trend with two peaks of phytoplankton biomass between spring and mid-summer. The main drivers of chlorophyll a variation were radiation, water temperature, tidal amplitude, salinity, river discharge, and the inorganic nutrients DIN and DSi. The estuarine phytoplankton community was mainly dominated by Bacillariophyceae, especially at Alcântara. Bacillariophyceae were less important at Barreiro, where communities had a higher representation from other phytoplankton groups, such as Cryptophyceae and Prasinophyceae. The drivers of variability in the community composition were similar to those influencing the total biomass. In conclusion, the spring-neap tidal cycle strongly influenced the phytoplankton community, both in terms of biomass and community composition. Of the several tidal conditions, spring tides were the tidal condition that presented both higher biomass and higher Bacillariophyceae representativity in the community.
“Because I don’t come from the culture:” Examining dietitian’s experience promoting healthy dietary behaviors among Hispanic Caribbean clients in New York City

Dietitians are key in addressing existing diet-related health inequities, yet, research is lacking concerning how dietitians’ experiences working within culturally diverse communities. Addressing this gap, we interviewed fifteen dietitians working with Hispanic Caribbean (HC) communities in New York City, an understudied community with high incidence of diet-related conditions, to assess the best practices and experienced barriers when working with these communities. The best practices identified included building rapport, incorporating cultural values, and addressing food access. However, the interviews revealed important barriers that prevented successful implementation of these best practices. These included personal factors (language, food culture knowledge, food preferences), lack of culturally-relevant resources, cultural challenges that prevented engaging clients in participatory decision making, and institution-related constraints (time scarcity and funding). The findings underscore the need for improved training for dietitians to be better equipped to work with communities with different cultural and economic backgrounds from their own, for more culturally-relevant resources and funding to address underlying causes of diet-related health disparities in minority populations, and for increased diversity in the profession. Furthermore, our focus on Hispanic Caribbean communities expands existing research promoting cultural competence in the profession, presenting experiences working in with this large segment of the Hispanic community in the United States.
UAV-Cooperative Penetration Dynamic-Tracking Interceptor Method Based on DDPG

The multi-UAV system has stronger robustness and better stability in combat. Therefore, the collaborative penetration of UAVs has been extensively studied in recent years. Compared with general static combat scenes, the dynamic tracking and interception of equipment penetration are more difficult to achieve. To realize the coordinated penetration of the dynamic-tracking interceptor by the multi-UAV system, the intelligent UAV model is established by using the deep deterministic policy-gradient algorithm, and the reward function is constructed using the cooperative parameters of multiple UAVs to guide the UAV to proceed with collaborative penetration. The simulation experiment proved that the UAV finally evaded the dynamic-tracking interceptor, and multiple UAVs reached the target at the same time, realizing the time coordination of the multi-UAV system.
Accuracy of Dongjui analyzer for reducing the number of unnecessary urine cultures in an outpatient setting

Objectives: The purpose of this study was to evaluate the diagnostic performance of the Dongjui DJ-8602 urinary analyzer for reducing the number of unnecessary urine cultures in patients with suspected urinary tract infection (UTI). Methods: This study was designed as a retrospective study performed in patients with suspected UTI from August 1, 2018 to December 1, 2018. Clinical data, C reactive protein, blood hematologic counts were evaluated. Using positive culture results as the gold standard, the cut-off values by the receiver operating characteristic curve technique, sensitivity, and specificity were calculated. Results: The median values of urine leukocyte levels were 31 cells/high power field (HPF) in the culture-positive group and 5 leukocytes/HPF in the culture-negative group, respectively. The area under the curve for leukocyte and bacteria count were 0.753 (95% Cl, 0.642 to 0.862) and 0.581 (95% Cl, 0.438 to 0.725), respectively. A leukocyte count ≥ 2 cells/HPF, resulting the best sensitivity of 96.3% (95% Cl: 81.03% to 99.48%) and a negative predictive value (NPV) of 96.4% (95% Cl: 79.35% to 99.48%). Conclusions: The use of the Dongjui DJ-8602 urinary sediment and chemistry analyzer did not accurately predict the outcome of urine cultures with an unsatisfactory sensitivity and NPVs of bacteria counts.
Mechanical, thermal, and morphological behaviour studies on coconut shell and palm kernel filler biocomposite

In the present work, the composite materials were prepared from coconut shell powder, palm kernel powder, and epoxy resin. The addition of coconut shell powder was considered when preparing the composite samples, and mechanical properties such as tensile strength, hardness, impact, bending strength, physical behavior water absorption, as well as morphological tests, were conducted using Fourier Transform Infrared Spectroscopy, Scanning Electron Microscope, and Thermogravimetric Analysis for both the prepared composite material boards and chipboard. The minimal variation of tensile stress and percentage of elongation between the 50 % coconut shell powder composite material and the wooden chipboard material is 4,44 MPa and 1,00 %, respectively, according to the findings of experimental tests.The lowest compressive stress and hardness variations between coconut shell powder composite material and wooden chipboard are found to be 0,14 MPa and 3,2 MPa, respectively. It is determined that the composite materials made from waste shell powders and epoxy resin are suitable for applications such as panel boards, automotive interior dashboards, roof sheets, and doors.
Design of Voltage Source Inductively Coupled Power Transfer System With Series Compensation on Both Sides of Transformer

Based on analyzing the main parameters of the voltage gain function of the voltage source inductively coupled power transfer (ICPT) system with series compensation on both sides of the transformer,a new design methodology based on the voltage transfer function was proposed. The voltage gain function was presented on the basis of the circuit modeling and analysis. Taking the charging platform application for portable electronic equipments as an example,influences to the voltage gain characteristics were analyzed as the main parameters of the circuit vary respectively,and appropriate ranges of some parameters were suggested. Based on the model parameters analysis,a new design method of the voltage source ICPT system was introduced. The feasibility of the design method is verified by the experimental results,which also demonstrate the accuracy of the model.
Search engine optimization: A review

The Search Engine has a critical role in presenting the correct pages to the user because of the availability of a huge number of websites, Search Engines such as Google use the Page Ranking Algorithm to rate web pages according to the nature of their content and their existence on the world wide web. SEO can be characterized as methodology used to elevate site keeping in mind the end goal to have a high rank i.e., top outcome. In this paper the authors present the most search engine optimization like (Google, Bing, MSN, Yahoo, etc.), and compare by the performance of the search engine optimization. The authors also present the benefits, limitation, challenges, and the search engine optimization application in business.
Embedded Distributed Temperature Sensing Enabled Multistate Joint Observation of Smart Lithium-Ion Battery

Accurate monitoring of the internal statuses is highly valuable for the management of the lithium-ion battery (LIB). This article proposes a thermal-model-based method for multistate joint observation, enabled by a novel smart battery design with an embedded and distributed temperature sensor. In particular, a novel smart battery is designed by implanting the distributed fiber optical sensor internally and externally. This promises a real-time distributed measurement of LIB internal and surface temperature with a high space resolution. Following this endeavor, a low-order joint observer is proposed to coestimate the thermal parameters, heat generation rate, state of charge, and maximum capacity. Experimental results disclose that the smart battery has space-resolved self-monitoring capability with high reproducibility. With the new sensing data, the heat generation rate, state of charge, and maximum capacity of LIB can be observed precisely in real time. The proposed method validates to outperform the commonly-used electrical-model-based method regarding the accuracy and the robustness to battery aging.
Microbiomes of the bloom-forming alga, Phaeocystis globosa, are stable, consistently recruited communities with symbiotic and opportunistic modes

Phaeocystis is a cosmopolitan, bloom-forming phytoplankton genus that contributes significantly to global carbon and sulfur cycles. During blooms, Phaeocystis species produce large carbon-rich colonies, thus creating a unique interface for bacterial interactions. While bacteria are known to interact with phytoplankton—e.g., they promote growth by producing phytohormones and vitamins—such interactions have not been shown for Phaeocystis. Therefore, we investigated the composition and function of P. globosa microbiomes. Specifically, we tested whether microbiome compositions are consistent across individual colonies from four P. globosa strains, whether similar microbiomes are re-recruited after antibiotic treatment, and how microbiomes affect P. globosa growth under limiting conditions. Results illuminated a core colonial P. globosa microbiome—including bacteria from the orders Alteromonadales, Burkholderiales, and Rhizobiales—that was re-recruited after microbiome disruption. Consistent microbiome composition and recruitment is indicative that P. globosa microbiomes are stable-state systems undergoing deterministic community assembly and suggests there are specific, beneficial interactions between Phaeocystis and bacteria. Growth experiments with axenic and nonaxenic cultures demonstrated that microbiomes allowed continued growth when B-vitamins were withheld, but that microbiomes accelerated culture collapse when nitrogen was withheld. In sum, this study reveals interactions between Phaeocystis colonies and microbiome bacteria that could influence large-scale phytoplankton bloom dynamics and biogeochemical cycles.
Firearm Dealers and Local Gun Violence: A Street Network Analysis of Shootings and Concentrated Disadvantage in Atlanta

Objectives Examine the spatial relationship between firearm dealers and shootings in Atlanta. Methods We combine data from the Atlanta Police Department (APD), the Bureau of Alcohol, Tobacco, Firearms, and Explosives (ATF), and the American Community Survey (ACS) to conduct a street network analysis from 2016 through 2018. We employ the Network Cross K Function to assess whether firearm dealers attract shootings in the city. We examine whether this spatial relationship differs by level of concentrated disadvantage in neighborhoods. Results Without consideration of concentrated neighborhood disadvantage, firearm dealers and shootings are spatially unrelated to one another. Tract-level disadvantage influences the relationship between firearm dealers and shootings wherein dealers significantly attract shootings in disadvantaged neighborhoods. Conversely, shootings are located further from gun stores in non-disadvantaged communities. Shootings related to manslaughter and assault, but not robbery, are spatially associated with firearm dealers in disadvantaged neighborhoods. Conclusions Building on prior research regarding firearm dealers and gun violence, we find support for an attraction effect in disadvantaged neighborhoods for certain types of shootings. We contextualize these findings within a broader discussion of how firearm dealers contribute to the complex ecology of local gun violence. This is important in light of federal policies and investments related to the prevention of and response to gun crime.
Trichogenic Silver-Based Nanoparticles for Suppression of Fungi Involved in Damping-Off of Cotton Seedlings

Mycogenic silver nanoparticles (AgNPs) produced by some biocontrol agents have shown the ability to inhibit the growth of numerous plant pathogenic fungi, which may be a unique method of disease management. This study describes the extracellular production of AgNPs by Trichoderma harzianum. The size, shape, charge, and composition of the AgNPs were subsequently studied by UV-visible spectroscopy, DLS, zeta potential, TEM, SEM, and EDX, among other methods. The AgNPs had sizes ranging from 6 to 15 nm. The antifungal activities of bio-synthesized AgNPs and two commercial fungicides (Moncut and Maxim XL) were tested against three soil-borne diseases (Fusarium fujikuroi, Rhizoctonia solani, and Macrophomina phaseolina). Cotton seedling illnesses were significantly reduced under greenhouse settings after significant in vitro antifungal activity was documented for the control of plant pathogenic fungi. The use of biocontrol agents such as T. harzianum, for example, may be a safe strategy for synthesizing AgNPs and using them to combat fungus in Egyptian cotton.