Miracle-dz/UniFAR-FTUs huggingface dataset:
Preoperative evaluation of superficial cortical venous drainage

Objectives and methodology: The preoperative exact localization of superficial intracranial lesions and superficial cortical veins is often necessary for making craniotomy and evaluation of cortical veins. We developed a simple and cheap method for such localization using cod liver oil capsule during the preoperative MRI and MRV brain examination. With the help of MRV brain, 3DCEMRV and 2DTOF images were taken and superficial cortical veins studied in the marked area for comparison between both modalities of MRV and planning of surgery for avoiding venous injury. Results: Most of the cases were in the age group 16-60 years (91.6%). The most common clinical manifestation was headache (85.4%) and meningioma (60.4%) was found to be the most common pathology. Clear visualization (Grade 3) of the individual superficial cortical vein was observed in 48 cases (100%) in 3DCEMRV as compared to 2DTOF 22 cases (45.8%) P <0.001S. Clear visualization (Grade3) of superior sagittal sinus was observed in 48 cases (100%) in 3DCEMRV as compared to 2DTOF 33 cases (68.6%) P <0.001S. In post-operative CT Head, we found 4 (8.3%) cases were having venous infarction. 5 patients (10.4%) developed motor weakness postoperatively. In 3 cases, postoperative MRV were done and found no venous injury. Conclusion: This study showed that preoperative localization and evaluation of the tumoral area and cortical veins with the help of cod liver oil in MRI and MRV brain was very helpful in planning the surgery, making craniotomy and to avoid injury of the veins. This technique is easy to perform and the capsule is easily constructed and inexpensive. 3DCEMRV was found to be better modality than 2DTOF for delineation of veins. Final neurosurgical outcomes were better.
Sparse Fourier transform and amplitude–frequency characteristics analysis of vortex street signal

Vortex flowmeter is a commonly used flow measurement device. It is almost not affected by the density and viscosity of the fluid, so the vortex flowmeter can be used for the detection of various medium, such as gas, liquid and steam. When dealing with vortex street signal, we usually use fast Fourier transform to calculate the signal frequency, but this traditional vortex street signal processing method is not only inefficient, but also difficult to filter out noise signals in the same frequency band as the vortex signal. The sparse Fourier transform utilizes the sparsity of the signal to efficiently calculate the signal spectrum, and the computational complexity is lower than that of the fast Fourier transform algorithm. In this paper, the amplitude and frequency of the vortex signal is analyzed by sparse Fourier transform and the noise signal is removed based on the amplitude–frequency characteristics of the vortex signal. Finally, by comparing with the other methods, we found that the time complexity of our algorithm is one-tenth of others’ methods. This means that our approach is 10 times faster than others.
Effect of solid-liquid extraction on the bioactive content and reducing capacity of the green coffee fruit

ABSTRACT The extraction of bioactive compounds from fruits of green coffee (Coffea canephora) was performed using solid-liquid percolation process and hydroethanolic solvent, by way of a 22 central composite rotatable design (CCRD) and response surface methodology (RSM). Bioactive contents and yield of process were the dependent variables assessed. The process yield was 25 ± 1.2%, 5-CQA, caffeine and trigonelline contents were 9751 ± 274, 6822 ± 127, 2664 ± 118 mg/100 g, respectively. The bioactive contents and reducing capacity in GCFE remained stable for 180 days at 40°C, which suggests its potential application in the pharmaceutical and food industries as an ingredient.
Patient Satisfaction with the Work of Nurses in Primary Health Care

Methods. A standardized Nursing Practitioner Satisfaction Survey questionnaire, for which we received the author’s approval, was used. The study involved 200 patients from the Health Centre of the Ministry of the Interior of the Republic of Croatia. Patients who came to the Health Centre’s outpatient clinics requiring only the services of nurses were included in the study. Out of 200 patients surveyed, 185 questionnaires were filled out correctly, while 15 were filled out incorrectly.
Modeling Nonlinear Magneto-optical Effects in Atomic Vapors

Author(s): Rochester, Simon Michael | Advisor(s): Budker, Dmitry | Abstract: Nonlinear magneto-optical processes are a rich source of interesting and useful phenomena, with both practical and fundamental-physics applications. Theoretical modeling is helpful for understanding and visualizing the mechanisms for nonlinear magneto-optical effects (NMOE), and for analyzing and optimizing devices based on these effects. Part I of this Thesis describes Bloch-equation methods and visualization techniques that can be used to model a wide variety of NMOE in atomic vapors. Part II presents several applications of the methods, including the investigation and visualization of a specific effect involving radio-frequency fields, a study of the general consequences of hyperfine structure on NMOE, and modeling and optimization of systems for laser guide stars. Appendices present additional mathematical material and describe a Mathematica package used for density-matrix calculations.
Digital Phenotyping - A Case for Cognitive Functions and Dementia?

Background: The present opinion work provides the reader with a short background on recent advances in the field of Psychoinformatics. Psychoinformatics represents a merger between the disciplines of computer science and psychology, among others to enable researchers to conduct digital phenotyping while exploiting the ubiquitously available digital traces resulting from interaction with the Internet of Things (IoT). IoT describes a totally interconnected world, where everything from the household appliance to the smartphone is linked to each other via the Internet. Objectives: In recent years, much work has been dedicated to the question of which psychological variables, in the realm of socio-demographics and personality, can be predicted from social media platform data and/or smartphones in general. These variables are of interest to be studied, because they have been associated with many important life variables such as longevity, health behavior and job performance. Methods: As research concerning cognition has been comparably less studied in Psychoinformatics, the focus of the present review-work will lie more on ideas regarding how cognitive functions and precisely dementia such as Alzheimer’s Disease (AD) might covary with data from the IoT. Results: It is demonstrated that different sociodemographic and psychological variables including cognitive variables currently can be predicted to different extent via digital footprints. Conclusions: Beyond abundant chances due to applying methods from Psychoinformatics to improve diagnostics and monitoring of AD, limitations of such approaches are also addressed together with relevant thoughts on ethical considerations.
The level of use of public relations tools and evaluation of their impact on the reputation of 
 chemical companies from the perspective of the Czech public

The article presents the results of primary quantitative research aiming to determine the extent to which PR tools are used by chemical companies towards the public (wide and local) in the Czech Republic. It was found that, in the opinion of the respondents, the natural publicity of the company through word of mouth and media information has the greatest influence on public opinion, while the influence of social networks has not been appreciated yet. An important contribution of the paper may be the identification of the extent of use of a complex set of PR tools in the areas of information publicity, events and corporate social responsibility initiatives (CSR) recommended by literature to support business reputation among the public. Thus, it was possible to identify PR tools often used by companies, albeit not very effective, and vice versa, those PR tools that are perceived to be effective, but not yet widely used in practice. The application of research results will facilitate a better allocation of company resources among PR tools in order to more effectively meet the company’s PR objectives towards the public. The research was conducted through the electronic questioning method and involved 53 marketing and PR managers of chemical companies in the Czech Republic.
Infrared Optical Conductivity of Bulk Bi2Te2Se

Mid- and near-infrared measurements reveal that the optical conductivity of the three-dimensional topological insulator, Bi2Te2Se, is dominated by bulk carriers and shows a linear-in-frequency increase at 0.5 to 0.8 eV. This linearity might be interpreted as a signature of three-dimensional (bulk) Dirac bands; however, band-structure calculations show that transitions between bands with complex dispersion contribute instead to the inter-band optical conductivity at these frequencies and, hence, the observed linearity is accidental. These results warn against the oversimplified interpretations of optical-conductivity measurements in different Dirac materials.
Adaptive thresholding based optimal rate and MIMO mode selection scheme for IEEE 802.11n WLAN

The emergence of multiple antenna technology in IEEE 802.11n WLAN has resulted in performance improvement in terms of throughput as well as transmission reliability as compared to legacy standards. Link adaptive transmission is critical to WLAN. Most of the existing algorithms for MIMO mode adaptation (between spatial multiplexing and diversity encoding) use ﬁxed SNR switching thresholds for rate selection. The use of a ﬁxed threshold in both MIMO modes, however, can only provide smaller throughput gain. The present studies on link adaptation do not consider the fundamental characteristic difference in the diversity encoding and spatial multiplexing encoding for MIMO. In this paper we propose a novel adaptive thresholding based optimal rate and MIMO mode (ORMM) algorithm for 802.11n wireless network. The proposed scheme adaptively switches between two SNR switching threshold vectors, separately determined for each MIMO mode analytically. Simulations over the Rayleigh fading channel shows that ORMM outperforms the existing approach of MIMO rate adaptation based on the use of ﬁxed switching thresholds for rate selection.
Population status and floral biology of Trichopus zeylanicus ssp. travancoricus Burkill ex K. Narayanan (Dioscoreaceae), an important ethnomedicinal plant of the southern Western Ghats, India

Trichopus zeylanicus ssp. travancoricus is locally known in Tamil Nadu as Arogyapachai, meaning a plant that provides good health and vitality. The unripe fruits of the plant are highly rejuvenating and are used by the Kani Tribe to ameliorate fatigue. This subspecies is also known for its pharmacological and medicinal utility and possesses choleretic, aphrodisiac, hepatoprotective, mast cell stabilizing, adaptogenic, and cardioprotective properties. A study was attempted to understand the population status and floral biology of T. zeylanicus ssp. travancoricus in its natural habitat. The population of this herb was found to be severely fragmented and settled in shaded banks of streams and rivulets in Agasthyamalai Hills. Being a rhizomatous herb, its flowers are concealed by its broad leaves, thus preventing exposure to pollinators. The number of pollinating agents in the flowers was reported as meager. The fruits are capsules with two to six seeds, each having a hard seed coat with a projected endosperm. Therefore, the conventional propagation of the subspecies is not so successful due to its poor seed set and prolonged maturation time. In addition, the fruits are damaged by rodents, livestock, and collection for medicinal usage, which severely affect the population status of the plant. Sustainable use of this wonder herb is important for its conservation in its natural habitat.
Metrics for evaluating representation target achievement in protected area networks

Global conservation targets (e.g. Aichi Target 11) have helped drive a dramatic expansion of the global protected area (PA) network. Credible metrics have an important role to play in evaluating and expanding PAs to achieve conservation outcomes and objectives. For metrics to be useful and adopted, they need to be transparent, easy to understand, and easy to implement. We present two complementary metrics, “mean protection gap” and “mean target achievement”, for evaluating representation target achievement in PA networks along with the R package “ConsTarget” that calculates and plots both metrics. We use Australia's proposed Commonwealth Marine Reserve network as a case study to demonstrate the application of these metrics. We recommend the metrics be used to evaluate the progress towards building representative PA networks in line with Aichi target 11's goals.
Consistent individual and sex-specific differences in behaviour of common cuckoo chicks: is there a potential impact on host-parasite coevolutionary dynamics?

Research on brood parasitism has focused primarily on specific host anti-parasite behaviours and parasite counter-adaptations, and little is known about other aspects of their behaviours such as consistent behavioural differences between individuals. Therefore, we examined consistency in behaviour of nestlings of common cuckoos ( Cuculus canorus ) raised by great reed warblers ( Acrocephalus arundinaceus ). Cuckoo chicks showed high repeatability of both aggressive behaviour and breath rate, and both traits were strongly correlated with each other. This represents the first evidence for consistent differences in behaviour among avian brood parasites. Males were consistently more aggressive and less stressed than females. Nestlings of both sexes that hatched later in the season exhibited higher levels of aggression and lower stress responses than nestlings hatched earlier. This suggests that rearing conditions (e.g., food availability and quality) may modulate stress and aggressive phenotypes of brood parasites. We discuss potential effects of the observed patterns on host-parasite dynamics.
An Approximate Linear Analysis of Structures Utilizing Incremental Loading of Force Method

A relatively simple technique has been introduced in this paper. The approach is based on the Linear Force Method (FM) with discretion of the applied loads to the subsequence steps and updating coordinates in each iteration to have new geometrical property. The accuracy of the technique depends on the size of the discretion which depends on the number of iterations. A small change in the configuration could hugely affect the displacement and internal forces in geometrically nonlinear structures, that’s why the current approach is vital. The proposed technique is validated with other techniques of nonlinear analysis of the structures with a very good agreement in both terms of external nodal displacements and internal bar forces.
Lichen indices assess local climate and air quality status in the Mid-Atlantic Region, U.S.A.

Abstract Lichen-based indices were developed for monitoring local climate and air quality impacts in the United States of America (U.S.A.) Mid-Atlantic states (MidA). The U.S.A. Forest Service Forest Inventory and Analysis Program (FIA) uses such biological indicators to monitor forest environments. Index development used a unique combination of recommended analysis techniques. The Climate Index (Axis 1 of nonmetric multidimensional scaling [NMS] ordination of 189 plots, 80 lichen species) accounted for 44.7% of data variation, and was correlated with latitude, temperature and humidity (r2 = 0.5 to 0.7). The Pollution Index was based on abundances of 10 tolerant and 27 sensitive lichen species selected from Indicator Species Analysis and other techniques (210 plots, 180 species). Strong quantitative support guided careful selection of pollution indicator species. The Pollution Index was strongly correlated with Al, Cu, Fe, N and S measured in lichen samples (51 plots; maximum r2=0.796), and with 51-plot NMS Axis 1 (r2=0.694; 41.7% of information) correlated with pollution. Indices were uncorrelated with each other or with nearby forest cover, another important factor. From within-site repeatability, Climate Index changes of 13–21% of full range and Pollution Index changes of 18–24% will be detectable. These indices fill a gap to complete FIA index coverage for much of eastern U.S.A. Both indices are suitable for application in other MidA studies. Comparisons with similar FIA studies supported guidelines for use of our indicator selection process and evaluation of environmental interactions to improve other studies.
Energy Crisis, Resource Scarcity, and Innovations in Biofuels

Natural resources are scarce and there is a need to explore new resources to meet the rising demand for energy. There is also a need to meet sustainable development goals through proper planning and strategy. Fossil fuel has a finite supply and there will be a huge gap between demand and supply due to rising demand. There is a need to develop biofuel to replace fossil fuel. This paper gives a discussion about current issues and future directions in these sectors.
Multi-phenyl structured aromatic hydrocarbon polymer

Multi-phenyl structured random polymer was synthesized via condensation polymerization reaction by applying different monomer ratios and characterized by various spectroscopic methods (FT-IR, 1H NMR). The prepared polymers showed good thermooxidative stability up to 400 oC. The surface morphology was studied by FESEM that showed the good linkage among the polymer chains. The EDS data of poly(fluorenylene ether ketone), PFEK; demonstrated that all the monomers participated in the copolymerization reaction. Inherent viscosity values of the polymers were obtained in the range of 0.76∼1.12 dL g-1. The polymers’ yield was within 85~90%. The obtained results indicate that the multi-phenyl structured polymer will be the good candidates to prepare the effective aromatic hydrocarbon polymer electrolyte membrane.
MODELLING THE INFLUENCE OF ELECTRON CONCENTRATION ON MHD TURBULENCE BY LES

In the present work, a three-dimensional mathematical model of the influence of electron concentration on the dynamics of the E-layer of the ionosphere under nonisothermal conditions is developed. The proposed method shows high computational efficiency and good quality estimates. To approximate the solution of the convective and diffusion terms of the intermediate velocity field, the finite difference method is used in combination with a five-diagonal matrix, which made it possible to achieve fourth-order accuracy in space and third-order accuracy in time. To solve the pressure, the Poisson equation is solved, which ensures the fulfillment of the continuity equation. The Poisson equation is transformed from physical space to spectral space using the Fourier transform. The equation for the temperature and electron concentration is solved using the AdamsBashforth method. Before modeling the influence of the magnetic field on MHD turbulence, to test the adequacy of the numerical algorithm, the Taylor Green test problem was performed for various Reynolds numbers, where it agrees well with the reference spectral method and analytical solutions. As a result of the simulation, the temperature contours and turbulent flow isotherms for various Stuart numbers were obtained. The developed numerical algorithm can be used to model the attenuation of ionospheric turbulence at various Stuart numbers.
Food safety in the classroom: Using the Delphi technique to evaluate researcher‐developed food safety curriculum aligned to state academic standards

High school students’ prevalence as food-service industry employees and their lack of food safety knowledge make them prime candidates for food safety education. The researchers developed a food-safety-focused curriculum for high school students aligned with Indiana Academic Standards for Agriculture, Advanced Life Science: Food. The curriculum was designed to provide students with fundamental food safety concepts through experiential learning and incorporation of Science, Technology, Engineering, Agriculture, and Mathematics (STEAM) activities in the context of different careers related to agriculture, especially in food science. This study uses the Delphi technique to evaluate the food safety curriculum, including the identification of barriers to incorporating the curriculum into classrooms. The Delphi technique uses an expert panel to generate consensus related to a abstract. As a math teacher, I don’t just think of math as numbers. I think of it as a logical thought process consider if for a wider in the ServSafe Overall, I would consider your audience and scope of your curriculum again.If you are really trying to improve the safety of food preparation of student in school middle shift focus away from the industrial a little, and used so they may be geared towards Nutrition and Wellness.you will reach many more students that way. while think I would so that see real-life of the home
Children and Crime: In the Moment

Traditional approaches to understanding and responding to children and crime are fundamentally based on ‘miniaturised’ adult models. The assumption appears to be that children are adults in the making, essentially just smaller, developing versions of grown-ups. This view of children is increasingly being challenged. Children are not simply putative adults, they are different, distinct and developing. This article sets out to explore the notion that children essentially think and behave ‘in the moment’. The implications of this for our understanding of children and crime are also explored.
Determinants of overall franchisee satisfaction: application of the performance feedback theory

ABSTRACT Franchisee satisfaction in a franchise network has various consequences, from stimulating the implementation of new practices up to the decision to stay in or leave the network. This paper aims to examine the performance antecedents of overall franchisee satisfaction. We posit that satisfaction is influenced by three performance dimensions: financial, service, and relationship performance. We argue that increasing performance on any of these three dimensions leads to higher franchisee satisfaction. Based on a sample of franchisees from Germany and Austria, the findings show that relationship performance (quality) consistently predicts changes in satisfaction and mediates the effect on satisfaction of the other important performance factor – financial performance relative to competitors. Overall, this study contributes to the franchising and retail literature by applying Cyert and March’s performance feedback theory to explain overall franchisee satisfaction.
Applying Hierarchy of Expert Performance (HEP) to investigative interview evaluation: strengths, challenges and future directions

The purpose of this paper is to systematically examine the research literature on the decision of expert interviewers within the theoretical framework of the Hierarchy of Expert Performance (HEP). After providing an overview of the HEP framework, existing research in the investigative interviewing at each of the eight levels of the HEP framework is reviewed. The results identify areas of strength in reliability between experts’ observations (Level 2) and of weakness in reliability between experts’ conclusions (Level 6). Biases in investigative interview experts’ decision making is also revealed at biasability between expert conclusions (Level 8). Moreover, no published data are available in reliability within experts at the level of observations (Level 1) or conclusions (Level 5), biasability within or between expert observations (Level 3 and 4) and biasability within expert conclusions (Level 7). The findings highlight areas where future research and practical endeavour are much needed for the investigative interview.