Miracle-dz/UniFAR-FTUs huggingface dataset:
& Clinical

Objectives: To determine the role of Quranic recitation in producing alpha wave increments on EEG in healthy subjects. To compare the level of increments, if any in alpha waves on EEG between Quranic verses and Classical music. Materials and Methodology: After approval from the Ethical Review Committee, 32 healthy volunteers aged 20-25 years, comprising 16 males and 16 females were selected, from the undergraduate MBBS program, Foundation University Medical College (FUMC). A 10 minutes base line EEG was recorded for each of the participant prior to the procedure at Fauji Foundation Hospital (FFH) , to rule out any neuropsychiatric disorder. After adjusting the electrodes properly, a 5 minutes base line EEG was recorded . The participant was then exposed to the recitation of chapter 36 (Surah Yaseen) of Al-Quran for 5 minutes using earphones. A period of EEG at rest was recorded for 5 minutes after the exposure to Quranic recitation. Subsequently, the subject was exposed to Pachelbel's Canon in D major, which has been used as a “relaxing music” in researches. Statistical analysis was performed using SPSS version 21. Paired sample t-test was used to determine the significance of difference in increments. Results: Mean values of Maximum negative alpha amplitude for Quranic Recitation, Baseline and Classical music were -39. 9µV, -36. 5µV, -35. 8µV respectively. Maximum negative alpha amplitude was higher for Quranic recitation vs. Baseline (p=0.006) and Quranic recitation vs. Classical music (p = 0.001). Conclusion: The results reveal that Quranic recitation increments alpha brain waves more than classical music which has been scientifically proven to be relaxing for mind. Therefore Quranic recitation can help in achieving a more relaxed state of mind and may be used as potent tool in music therapy as a part of CAM (complementary and alternative medicine).
Catalyzers for Social Insurance: Education Subsidies vs. Real Capital Taxation

To analyze the optimal social insurance package, we set up a two-period life-cycle model with risky human capital investment, where the government has access to labor taxation, education subsidies and capital taxation. Social insurance is provided by redistributive labor taxation. Moreover, both education subsidies and capital taxation are used as catalyzers to facilitate social insurance by mitigating distortions from labor taxation. We derive a Ramsey-rule for the optimal combination of these two instruments. Relative to capital taxation, optimal education subsidies increase in their relative effectiveness to boost labor supply and in households' underinvestment into education, but they decrease in their relative net distortions. For their absolute levels, indirect complementarity effects, i.e., influencing the effectiveness of the other instrument, do matter. Generally, a decrease in capital taxes should go along with an increase in education subsidies.
The Nature of Light

The perception of light in nature comes through the photopigment molecules of our retina. The objective of this paper is to relate our modern understanding of the quantum mechanical chemical processes in the retinal molecules with our observation of superposition (“interference”) fringes due to multiple light beams. The issue of “interference” is important for two subtle reasons. First, we do not perceive light except though the response of the light detecting molecules. Second, EM fields do not operate on each other to create the “interference” (superposition) effects. When the intrinsic molecular properties of a detector allows it to respond simultaneously to all the superposed light beams on them, they sum the effects and report the corresponding “fringes” of superposition. In the human eye the “seeing” (or perception) is initiated by photo-isomerization of retinal, the chromophore of the opsin molecule. There exists several orders of magnitude difference between the characteristic times for the molecular processes of light absorption and the visual signal generation through the photochemical cascade. This allows us to function in the daily chores of walking and visual identification of objects and enjoy the beauty of the natural sceneries even though the retinal layer is bombarded simultaneously by innumerable beams of light with same and different frequencies, which will normally produce a flood of electronic “white noise” over a very wide range of temporal frequencies, namely the heterodyne beat signal. How do the eyes completely suppress this wide range of heterodyne beat signal?
The EU's Neighborhood policy anhd the South Caucasus : unfolding new patterns of cooperation

This paper looks at the European Union (EU) process of engagement in the South Caucasus (Armenia, Azerbaijan and Georgia) in the context of its Neighborhood Policy. It looks at how divergent perceptions of the region, both inwards and outwards-driven, impact on regional policy choices, with an emphasis on regional cooperation. Though these states remark on the outlived usefulness of artificial framings, and regional cooperation among the three is virtually non-existent, when engaged in larger and wide-ranging formats, cooperation might not only be possible, but fruitful. It is therefore argued that regional cooperation should overcome the artificially constructed “South Caucasus” regional label and unfold along different patterns and variable compositions. The paper advances the proposal for a Eurasian/Black Sea security complex, framing in a wider format regional bounds, while maximizing them in new cooperation frames, inverting the tendency for imposed labels and uncooperative stances in the area.
SIMULATION SERVICE PROVIDING IN A DISTRIBUTED SIMULATION ENVIRONMENT

: Simulation of complex dynamic systems is an interdisciplinary problem. To solve this problem the author suggests a distributed simulation environment as a new form of simulation means system organization that provides web-based distributed simulation of engineering and industrial tasks as simulation services using Discrete Event Simulation Framework on the basis of Grid infrastructure. The Unified Process of Simulation Services Development based on Unified Modeling Language is proposed.
A Detail Process for CAD Based Breast Cancer Detection

: Breast cancer is known to cause high mortality unless detected in time. Early detection during the onset of the disease can prevent mortality. Early detection can prevent the spreading of the disease thus providing a healthy life to senior citizens. Mammographic screening and surgical biopsy will yield huge number of images to be deciphered by radiologists and pathologists respectively. MIAS dataset is sufficiently large to conduct experimental analysis. Moreover, the dataset contains 322 mammogram images of different size, shape and morphology. This paper discussed about breast cancer detection and diagnosis process. (Word count -91 words).
Mountain big sagebrush age distribution and relationships on the northern Yellowstone Winter Range

This study was conducted within the Gardiner Basin, an especially critical wintering area for native ungulates utilizing the Northern Yellowstone Winter Range. Mountain big sagebrush plants on 33 sites were classified as large (≥22 cm canopy cover), small (<22 cm canopy cover), or dead and then aged by counting growth rings. Large and small plants averaged 32 and 6 years old, respectively. Nearly half of the small plants were 5 years old, the result of optimal conditions for establishment in 1988, the year large wildfires burned much of Yellowstone National Park. Dead plants averaged 41 years of age. A bimodal peak in establishment of mountain big sagebrush corresponded with two large reductions in the Northern Yellowstone elk population.
Energieffektivisering - möjligheter och hinder

Rapporten sammanstaller aktuell kunskap om Sveriges energianvandning och energibalans samt prognoser for Sveriges framtida energianvandning inom de tre sektorerna transporter, byggnader och industri. Dessutom redovisas bedomningar av effektiviseringspotentialen for respektive samhallssektor fram till ar 2020. I rapporten diskuteras ocksa mojligheter och hinder for genomforande av energieffektiviseringsatgarder och konsekvenserna av en langt driven energieffektivisering i Sverige.
Manufacturing of Silicone Vascular Replicas Neurovascular Modeling: Small-Batch

BACKGROUND AND PURPOSE: Realistic, population based cerebrovascular replicas are required for the development of neuroendovascular devices. The objective of this work was to develop an efficient methodology for manufacturing realistic cerebrovascular replicas. MATERIALS AND METHODS: Brain MR angiography data from 20 patients were acquired. The center-line of the vasculature was calculated, and geometric parameters were measured to describe quantitatively the internal carotid artery (ICA) siphon. A representative model was created on the basis of the quantitative measurements. Using this virtual model, we designed a mold with core-shell structure and converted it into a physical object by fused-deposit manufacturing. Vascular replicas were created by injection molding of different silicones. Mechanical properties, including the stiffness and luminal coefficient of friction, were measured. RESULTS: The average diameter, length, and curvature of the ICA siphon were 4.15 (cid:1) 0.09 mm, 22.60 (cid:1) 0.79 mm, and 0.34 (cid:1) 0.02 mm (cid:2) 1 (average (cid:1) standard error of the mean), respectively. From these image datasets, we created a median virtual model, which was transformed into a physical replica by an efficient batch-manufacturing process. The coefficient of friction of the luminal surface of the replica was reduced by up to 55% by using liquid silicone rubber coatings. The modulus ranged from 0.67 to 1.15 MPa compared with 0.42 MPa from human postmortem studies, depending on the material used to make the replica. CONCLUSIONS: Population-representative, smooth, and true-to-scale silicone arterial replicas with uniform wall thickness were successfully built for in vitro neurointerventional device-testing by using a batch-manufacturing process.
Distributed Leadership in DMOs: A Review of Literature and Directions for Future Research.

: Amidst key emergent challenges for Destination Management Organisations (DMOs) and destinations triggered by changes in the funding and governance landscape for tourism on a global scale, Distributed Leadership (DL) has emerged as a promising concept to provide a collaborative framework for channelling resources and leadership to cope with such changes. Current evidence from academic literature discussing the importance of embedding shared forms of leadership is scarce, few studies discuss the application of DL in the context of DMOs. The key purpose of this conceptual study is to provide a critical overview of key DL contributions in the mainstream and DMO academic literature. The study seeks to examine the relevance of DL in the context of DMOs with the purpose to stimulate future empirical investigations in the application of DL in DMO organisations.
Resource Allocation for Enabled-Network-Slicing in Cooperative NOMA-Based Systems with Underlay D2D Communications

Non-orthogonal multiple access technique (NOMA) has appeared at the forefront as a viable solution capable of improving spectral and energy efficiency in fifth-generation (5G) and beyond-5G networks. This study aims at evaluating the benefits of adopting network slicing in cooperative NOMA-based systems with underlay Device-to-Device (D2D) communications. We formulate an optimization problem that maximizes the overall system's throughput while guaranteeing slices' technical requirements. We decouple the problem into two sub-problems: first, assigning the cellular users to resource blocks allocated to each NOMA group and then assigning D2D pairs to NOMA groups. A two-stage resource allocation solution by swapping-based matching theory is implemented. Numerical results show that the proposed scenario outperforms other ones in terms of the overall system's throughput and the number of admitted D2D pairs.
Resistencia microbiana a un tratamiento combinado de ultrasonidos y calor bajo presión: manotermosonicación

LA CONSERVACION DE LOS ALIMENTOS POR EL CALOR PRESENTA LA VENTAJA FRENTE A OTROS METODOS DE CONSERVACION DE QUE GARANTIZA LA SALUBRIDAD DE LOS ALIMENTOS PERO EL INCONVENIENTE QUE PUEDE ALTERAR CONSIDERABLEMENTE LAS CARACTERISTICAS ORGANOLEPTICAS Y NUTRITIVAS DE LOS MISMOS.CON OBJETO DE PODER REDUCIR LA INTENSIDAD DE LOS TRATAMIENTOS TERMICOS SE HA INTENTADO COMBINAR EL CALOR CON OTROS METODOS DE CONSERVACION, EN LO QUE EN LA ACTUALIDAD SE DENOMINA CONSERVACION DE LOS ALIMENTOS POR PROCESOS COMBINADOS.EN ESTA TESIS DOCTORAL SE DESCRIBE UN NUEVO PROCESO COMBINADO CONSISTENTE EN LA APLICACION SIMULTANEA DE CALOR Y ULTRASONIDOS BAJO PRESION (MANOTERMOSONICACION; PROCESO MTS). PARA EL DESARROLLO DE LA INVESTIGACION SE DISENO UN INSTRUMENTO (MANOTERMOSONICADOR) QUE PERMITE LA APLICACION DE TRATAMIENTOS TERMICOS ULTRASONICOS Y MTS EN CONDICIONES CONTROLADAS DE TIEMPO, TEMPERATURA, PRESION Y FRECUENCIA Y AMPLITUD DE SONICACION.EL EFECTO LETAL DE LA MTSONICACION RESULTA MUY INFLUIDO POR LA AMPLITUD DE SONICACION Y LA PRESION DE TRATAMIENTO. LA LETALIDAD DEL TRATAMIENTO MTS AUMENTO LOGARITMICAMENTE CON LA AMPLITUD ENTRE 35-145U. LA EFICACIA LETAL DE LA MTSONICACION TAMBIEN AUMENTO CON LA PRESION DE TRATAMIENTO HASTA ALCANZAR UN OPTIMO QUE A SU VEZ AUMENTO CON LA TEMPERATURA DE TRATAMIENTO. SE DEMUESTRA LA EXISTENCIA DE UNA RELACION ENTRE EL CALOR GENERADO POR LOS ULTRASONIDOS EN UN PROCESO MTS Y EL EFECTO LETAL DEL MISMO DE MODO QUE PUEDEN ESTABLECERSE LAS CONDICIONES OPTIMAS DE TRATAMIENTO PARA CONSEGUIR LA MAXIMA EFICACIA LETAL A PARTIR DE ESTE PARAMETRO. LA MTSONICACION RESULTO MUY EFECTIVA TANTO FRENTE A MICROORGANISMOS ESPORULADOS COMO FRENTE A CELULAS VEGETATIVAS. EL TRATAMIENTO MTS REDUJO LA TERMORRESISTENCIA RESPECTO AL CORRESPONDIENTE TRATAMIENTO TERMICO ENTRE 2,5 Y 8 VECES TANTO EN TAMPONES COMO EN ALIMENTOS. LA TEMPERATURA DE ESPORULACION NO INFLUYO LA CUANTIA DEL EFECTO. POR EL CONTRARIO LA INFLUENCIA DEL PH DEL MEDIO DE TRAT
Design and Analysis of the Robotic Devil Fish

: Based on bionics, we design a robotic devil fish based on the MPF movement pattern. Through trigonometric modeling and bionic analysis, we design the three-layer structure of the model and 3D-print it with ABS plastic. Through the circuit board waterproof test, the servo control program test and the servo waterproof test, we conclude that it has good stability and waterproofness, which can be widely used in education, underwater transportation and entertainment. This study further explores the realization of the devil fish’s movement pattern, offering a practical direction for future research.
Recovering from Supply Interruptions: The Role of Sourcing Strategy

Fast recovery from supply interruptions is a key objective of supply chain and business continuity professionals. This paper provides the first rigorous and large-scale empirical evidence that relates the use of different supply chain strategies—supplier diversification and the use of long-term relationships—with the ability of a supply chain to recover from supply interruptions. We develop an estimator of a supply-chain’s recovery rate that can be constructed using the limited available data—only the time series of firms’ actual sourcing behavior. Using more than two million import manifests, we extract firms’ sourcing transactions and use these data to estimate recovery rates of different firm-category supply chains of publicly traded US firms. We find that supplier diversification is associated with slower recovery from supply interruptions, while the use of long-term relationships is associated with faster recovery. A one standard deviation decrease in the former is associated with a 16% faster recovery, and a like increase in the latter is associated with a 20% faster recovery.
Benefits and Related Threats of Coral Reef Ecosystem Services

Understanding the impact of direct and indirect drivers of change on diverse marine ecosystems such as coral reefs implies that users as well as stakeholders and decision makers need to reconsider their strategies, roles and perceptions in meeting the challenges confronted by these ecosystems. The findings in this article, derived from distinct studies, imply that societies that are more exposed to threats like climate change are more likely to be vulnerable, particularly those that have low social adaptive capacity. Moreover, other results from primary valuation studies highlight that users such as recreational divers are supportive of paying towards the protection and/or restoration of coral reef ecosystems. However, what is urgently needed in benefit estimation of coral reef services is the interconnectedness of this ecosystem state to human welfare.
A Study on Influence of Land Morphology
on Carbon Emissions: The Case of Yangtze River
Delta Region

This study focuses on the impact of regional land use land morphology on carbon emissions from a regional perspective. The study first quantifies the land morphology of the Yangtze River Delta region from 2005 to 2017 by calculating a series of parameters. These parameters include city scale, shape complexity, shape fragmentation, spatial aggregation and spatial diversity. Then, a panel data model of these parameters and overall urban carbon emissions was developed and analyzed by multiple linear regression. It was found that city scale spatial diversity had significant positive effects on carbon emissions in the Yangtze River Delta region, while the complexity of urban shape had a negative effect. Based on these findings, the study proposes that in terms of overall urban structure, it is necessary to strengthen and improve the degree of compact clustering of morphology and functions, and advocate a highly connected "polycentric" agglomeration cluster model; within cities, the complexity and fragmentation of land morphology should be reduced through a "narrow roads and small blocks" transportation model.
On computable numbers with an application to the Entscheidungsproblem”. A correction Universal Turing Machine

The mutually exclusive artiﬁcial intelligence solution to IPv6 is deﬁned not only by the re-ﬁnement of A* search, but also by the private need for the location-identity split. In fact, few end-users would disagree with the evaluation of DHCP. we explore a novel methodology for the investigation of 802.11b, which we call Discus. Despite the fact that such a claim might seem counterintuitive, it has ample historical precedence.
On Computable Numbers with an Application to the Entscheidungsproblem ’

Many biologists would agree that, had it not been for collaborative configurations, the evaluation of systems might never have occurred. In fact, few mathematicians would disagree with the simulation of randomized algorithms. While this technique at first glance seems counterintuitive, it entirely conflicts with the need to provide randomized algorithms to mathematicians. Our focus in this work is not on whether virtual machines can be made mobile, optimal, and decentralized, but rather on presenting an analysis of redundancy (MOO). I. INTRODUCTION Steganographers agree that " fuzzy " archetypes are an interesting new topic in the field of algorithms, and hackers worldwide concur. In fact, few analysts would disagree with a confirmed riddle in complexity theory is the understanding of compact communication. The synthesis of interrupts would minimally amplify multi-processors. Efficient solutions are particularly theoretical when it comes to the exploration of forward-error correction. Nevertheless, this approach is mostly encouraging. Despite the fact that such a hypothesis might seem counterintuitive, it fell in line with our expectations. However, this approach is always adamantly opposed. Thusly, we concentrate our efforts on disconfirming that I/O automata and replication can interact to fix this grand challenge. MOO, our new approach for scalable archetypes, is the solution to all of these challenges. The inability to effect theory of this technique has been well-received. Nevertheless, this method is largely considered unfortunate. For example, many frameworks create stable theory. Indeed, architecture and Moore's Law have a long history of interfering in this manner
Journal of Computer Languages

A common frustration with programming Graphical User Interfaces (GUIs) is that features for manipulating structures, such as lists and trees, are limited, inconsistent, buggy, or even missing. Implementing complete and convenient sets of operations for inserting, removing, and reordering elements in such structures can be tedious and difficult: a structure that appears as one collection to the user can be implemented as several different data structures and a web of dependencies between them. Structural modifications require changes both to the GUI’s model and view, and possibly extraneous bookkeeping operations, such as adding and removing event handlers. This paper introduces a DSL that helps programmers to implement a complete set of operations to structures displayed in GUIs. The programmer specifies structures and relations between elements in the structure. Concretely, the latter are definitions of methods for establishing and unestablishing relations. Operations that manipulate structures are specified as rules that control which relations should hold before and after a rule is applied. From these specifications, our tools generate an easy-to-use API for structure manipulation. We target constraint system-based Web GUIs: the DSL generates JavaScript and relies on dataflow constraint systems for expressing dependencies between elements in GUI structures. Our DSL gives tangible representations with well-defined operations for ad-hoc and incidental GUI structures.
Slowly rotating superfluid Newtonian neutron star model with entrainment

We develop a formalism that can be used to model slowly rotating superfluid Newtonian neutron stars. A simple two-fluid model is used to describe the matter, where one fluid consists of the superfluid neutrons that are believed to exist in the inner crust and core of mature neutron stars, while the other fluid is a charge neutral conglomerate of the remaining constituents (crust nuclei, core superconducting protons, electrons, etc). We include the entrainment effect, which is a non-dissipative interaction between the two fluids whereby a momentum induced in one of the fluids will cause part of the mass of the other fluid to be carried along. The equations that describe rotational equilibria (i.e. axisymmetric and stationary configurations) are approximated using the slow-rotation approximation; an expansion in terms of the rotation rates of the two fluids where only terms up to second-order are kept. Our formalism allows the neutrons to rotate at a rate different from that of the charged constituents. For a particular equation of state that is quadratic in the two mass-densities and relative velocities of the fluids, we find an analytic solution to the slow-rotation equations. This result provides an elegant generalisation to the two-fluid problem of the standard expressions for the one-fluid polytrope E / ρ 2 . The model equation of state includes entrainment and is general enough to allow for realistic values for, say, mass and radius of the star. It also includes a mixed term in the mass densities that can be related to "symmetry energy" terms that appear in more realistic equations of state. We use the analytic solution to explore how relative rotation between the two fluids, the "symmetry energy" term, and entrainment affect the neutron star's local distribution of particles, as well as global quantities as the Kepler limit, ellipticity, and moments of inertia.