Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementing Grover's search algorithm using the one-way quantum computing model and photonic orbital angular momentum.

Standard quantum computation proceeds via the unitary evolution of physical qubits (twolevel systems) that carry the information. A remarkably different model is one-way quantum computing where a quantum algorithm is implemented by a set of irreversible measurements on a large array of entangled qubits, known as the cluster state. The order and sequence of these measurements allow for different algorithms to be implemented. With a large enough cluster state and a method in which to perform single-qubit measurements the desired computation can be realised. We propose a potential implementation of one-way quantum computing using qubits encoded in the orbital angular momentum degree of freedom of single photons. Photons are good carriers of quantum information because of their weak interaction with the environment and the orbital angular momentum of single photons offers access to an infinite-dimensional Hilbert space for encoding information. Spontaneous parametric down-conversion is combined with a series of optical elements to generate a four-photon orbital angular momentum entangled cluster state and single-qubit measurements are carried out by means of digital holography. The proposed set-up, which is based on an experiment that utilised polarised photons, can be used to realise Grover’s search algorithm which performs a search through an unstructured database of four elements. Our application is restricted to a two-dimensional subspace of a multi-dimensional system, but this research facilitates the use of orbital angular momentum qubits for quantum information processing and points towards the usage of photonic qudits (multi-level systems). We also review the application of Dirac notation to paraxial light beams on a classical and quantum level. This formalism is generally employed in quantum mechanics but the analogy with paraxial optics allows us to represent the classical states of light by means of Dirac kets. An analysis of the analogy between the classical and quantum states of light using this formalism, is presented.
Developing Orphanage Adolescents Stress Scale

Stress is a natural part of every adolescent's life. Adolescents in orphanage are more liable for stress than other adolescents. The aim of this study was to develop Orphanage Adolescents Stress Scale. Tool: The Orphanage Adolescents Stress Scale was developed by the researcher. Subjects and method: This questionnaire surveys were conducted with 74 adolescents to examine the psychometric properties. The final Orphanage Adolescents Stress Scale 58-items contain four domains: Emotional deprivation, Future planning, Relationships inside the organization, Relationships outside the organization and Stress symptoms. Result: Scale scores showed satisfactory internal consistency and two weeks test–retest reliability. Conclusion: OASS is an effective scale with acceptable psychometric properties and was especially adapted to measure stress in orphanage adolescents. Recommendations: For researchers who have a particular interest in stress among orphan adolescents, the OASS suggested to be effective tool.
Brain volumes and functional outcomes in children without cerebral palsy after therapeutic hypothermia for neonatal hypoxic‐ischaemic encephalopathy

To investigate whether brain volumes were reduced in children aged 6 to 8 years without cerebral palsy, who underwent therapeutic hypothermia for neonatal hypoxic‐ischaemic encephalopathy (patients), and matched controls, and to examine the relation between subcortical volumes and functional outcome.
Papers in Laboratory Phonology: The role of the sonority cycle in core syllabification

Introduction One of the major concerns of laboratory phonology is that of determining the nature of the transition between discrete phonological structure (conventionally, “phonology”) and its expression in terms of nondiscrete physical or psychoacoustic parameters (conventionally, “phonetics”). A considerable amount of research has been devoted to determining where this transition lies, and to what extent the rule types and representational systems needed to characterize the two levels may differ (see Keating 1985 for an overview). For instance, it is an empirical question to what extent the assignment of phonetic parameters to strings of segments (phonemes, tones, etc.) depends upon increasingly rich representational structures of the sort provided by autosegmental and metrical phonology, or upon real-time realization rules – or indeed upon some combination of the two, as many are coming to believe. We are only beginning to assess the types of evidence that can decide questions of this sort, and a complete and fully adequate theory of the phonetics/phonology interface remains to be worked out. A new synthesis of the methodology of phonology and phonetics, integrating results from the physical, biological and cognitive sciences, is required if we are to make significant progress in this area. The present study examines one question of traditional interest to both phoneticians and phonologists, with roots that go deep into modern linguistic theory. Many linguists have noted the existence of cross-linguistic preferences for certain types of syllable structures and syllable contacts. These have been the subject of descriptive studies and surveys such as that of Greenberg (1978), which have brought to light a number of generalizations suggesting that certain syllable types are less complex or less marked than others across languages.
Improving QTL mapping resolution in experimental crosses by the use of genotypically selected samples

: One of the key factors contributing to the success of a quantitative trait locus (QTL) mapping experiment is the precision with which QTL positions can be estimated. We show, using simulations, that QTL mapping precision for an experimental cross can be increased by the use of a genotypically selected sample of individuals rather than an unselected sample of the same size. Selection is performed using a previously described method that optimizes the complementarity of the crossover sites within the sample. Though the increase in precision is accompanied by a decrease in QTL detection power at markers distant from QTL, only a modest increase in marker density is needed to obtain equivalent power over the whole map. Selected samples also show a slight reduction in the number of false positive QTL. We ﬁnd that two features of selected samples independently contribute to these effects: an increase in the number of crossover sites and increased evenness in crossover spacing. We provide an empirical formula for crossover enrichment in selected samples that is useful in experimental design and data analysis. For QTL studies in which the phenotyping is more of a limiting factor than the generation of individuals and the scoring of genotypes, selective sampling is an attractive strategy for increasing genome-wide QTL map resolution.
Visual Detection of Anti-Adblocking Software

The number of adblock users has been on the rise throughout the last years, with the consequence that publishers have started using anti-adblocking software to deny adblock users access to their websites. This has lead to an ongoing arms race between the advertising industry and adblock users from which no winner has emerged. In this thesis the technical possibilities, which both sides have at their disposal, are analyzed. In a case study the implementations of anti-adblocking scripts and the adblocking community’s reactions and countermeasures are compared. Furthermore a webcrawler for automatically detecting websites, which use anti-adblocking scripts was implemented. The detection is based on visual features of screenshots and uses them with machine learning algorithms to generate models. With those models, a random sample of 300 websites from the Alexa top 1 million websites is analyzed.
Classification within a small domain

Natural language processing and Machine learning are subjects undergoing intense study nowadays. These fields are continually spreading, and are more interrelated than ever before. A case in point is text classification which is an instance of Machine learning(ML) application in Natural Language processing(NLP). Although these subjects have evolved over the recent years, they still have some problems that have to be considered. Some are related to the computing power techniques from these subjects require, whereas the others to how much training data they require. The research problem addressed in this thesis regards lack of knowledge on whether Machine learning techniques such as Word2Vec, Bidirectional encoder representations from transformers (BERT) and Support vector machine(SVM) classifier can be used for text classification, provided only a small training set. Furthermore, it is not known whether these techniques can be run on regular laptops. To solve the research problem, the main purpose of this thesis was to develop two separate conversational interfaces utilizing text classification techniques. These interfaces, provided with user input, can recognise the intent behind it, viz. classify the input sentence within a small set of pre-defined categories. Firstly, a conversational interface utilizing Word2Vec, and SVM classifier was developed. Secondly, an interface utilizing BERT and SVM classifier was developed. The goal of the thesis was to determine whether a small dataset can be used for intent classification and with what accuracy, and if it can be run on regular laptops. The research reported in this thesis followed a standard applied research method. The main purpose was achieved and the two conversational interfaces were developed. Regarding the conversational interface utilizing Word2Vec pre-trained dataset, and SVM classifier, the main results showed that it can be used for intent classification with the accuracy of 60%, and that it can be run on regular computers. Concerning the conversational interface utilizing BERT and SVM Classifier, the results showed that this interface cannot be trained and run on regular laptops. The training ran over 24 hours and then crashed. The results showed that it is possible to make a conversational interface which is able to classify intents provided only a small training set. However, due to the small training set, and consequently low accuracy, this conversational interface is not a suitable option for important tasks, but can be used for some non-critical classification tasks.
Vector-valued extensions for fractional integrals of Laguerre expansions

We prove some vector-valued inequalities for fractional integrals defined in the context of two different orthonormal systems of Laguerre functions. Our results are based on estimates of the corresponding kernels with precise control of the parameters involved. As an application, mixed norm estimates for the fractional integrals related to the harmonic oscillator are deduced.
Robust 
 ℋ2 and 
 ℋ∞ switched feedforward control of uncertain LFT systems

This paper presents a new robust switched feedforward control scheme for a class of uncertain systems described in a standard linear fractional transformation form. First, the analysis conditions for switching stability are derived by using a piecewise Lyapunov function incorporated with the min‐switching control technique. Based on the analysis results, the synthesis conditions are then formulated as a special type of bilinear matrix inequalities, which can be solved by means of linear matrix inequalities and line search. Both robust ℋ2 and ℋ∞ feedforward control problems are considered. The proposed robust switched control scheme outperforms existing robust feedforward control approaches for uncertain systems based on single quadratic Lyapunov function, and leads to less conservative control design. Numerical examples will be used to illustrate the effectiveness and advantages of the proposed results. Copyright © 2015 John Wiley & Sons, Ltd.
Inverse Sturm-Liouville Problems

01/07 This title is now available from Walter de Gruyter. Please see www.degruyter. com for more information. The interest in inverse problems of spectral analysis has increased considerably in recent years due to the applications to important non-linear equations in mathematical physics. This monograph is devoted to the detailed theory of inverse problems and methods of their solution for the Sturm-Liouville case. Chapters 1--6 contain proofs which are, in many cases, very different from those known earlier. Chapters 4--6 are devoted to inverse problems of quantum scattering theory with attention being focused on physical applications. Chapters 7--11 are based on the author's recent research on the theory of finite- and infinite-zone potentials. A chapter discussing the applications to the Korteweg--de Vries problem is also included. This monograph is important reading for all researchers in the field of mathematics and physics.
The CYP2C19*2 and CYP2C19*17 Polymorphisms In ﬂ uence Responses to Clozapine for the Treatment of Schizophrenia

super Alterations in enzyme activity may affect CLZ responses; the CYP3A4, CYP1A2 and CYP2C19 genes are primarily Objective: The aim of this study was to assess if CYP2C19 variants were associated with TRS or SRS. Methods: CYP2C19*2 loss-of-function and CYP2C19*17 gain-of-function polymorphism genotype testing were performed in 108 individuals undergoing pharmacological treatment for TRS or SRS. DNA was extracted and polymorphisms were analyzed by polymerase chain reaction (PCR) and sequencing. Results: CYP2C19*17 had positive correlations with SRS and lower Brief Psychiatric Rating Scale (BPRS) scores for TRS. In addition, CYP2C19*2 was associated with lower CLZ dosages for TRS. Conclusion: These results show that CYP2C19*2 and CYP2C19*17 polymorphisms in ﬂ uence CLZ responses during schizophrenia treatment.
INVESTIGATION ON THE SPECIFIC ABSORPTION RATE (SAR) IN A 3D HUMAN HEAD MODEL EXPOSED TO ELECTROMAGNETIC RADIATIONS

Exposure human tissue to electromagnetic radiation (EM) from radio wireless frequencies causes many negative health effects. The assessment of the absorbed EM by human tissue depends on the Specific Absorption Rate (SAR) factor. In this paper, a square patch antenna (SPA) is designed to be a source of EM radiation, and optimized to operate at several applicable frequencies, such as GSM 1800, IEEE 802.11 WLAN standard 2.4 GHz and 5.3 GHz bands, and 3.2 GHz WiMAX band. The radiated EM by the SPA antenna is evaluated in a 3D human head model or Specific Anthropomorphic Model (SAM), which consists of two layers, the outer shell (1.5 mm thickness) and filled with tissue simulating liquid (TSL). The investigation involved four aspects, first the distance between the SAM and the EM source has been moved between 0 mm to 50 mm, second for the specific distances (0 mm, 15 mm, 30 mm, and 45 mm) the frequency of EM source has been changed among 1.8 GHz, 2.4 GHz, 3.2 GHz, and 5.3 GHz. Third, the tilt angle (θ) between the SAM and the antenna has been shifted from 0 0 to 90 0 . Finally, the antenna encasement (2 mm thickness plastic material) was removed and the procedure in the first step is repeated to investigate the effect of encasement on the SAR reducing. The results reveal that there is an inversely proportional relation between SAR and distance, SAR and tilt angle. Besides, the antenna encasement has a large impact on attenuating SAR value, while the SAR is directly proportional to frequency. All SAR evaluations were performed by CST-2014 Microwave studio simulator which is built on the Finite-Difference-Time-Domain (FDTD) principle. All calculations are achieved over 1 g and 10 g of mass tissue averaging and according to IEEE/IEC 62704-1 standards.
RELATIONSHIP BETWEEN INTERNALIZED HOMOPHOBIA AND NEGATIVE MOOD REGULATION EXPECTANCIES IN MEN WHO HAVE SEX WITH MEN: MODERATION OF ADVERSE MENTAL HEALTH OUTCOMES A Thesis By RAMON BARAJAS

Members of the LGBTQIA+ community experience unique stressors specific to their sexual minority status, on top of common stressors faced by others. The minority stress model identifies these unique stressors as a probable reason for the higher prevalence of negative mental and physical health outcomes documented in this population. The current study sought to explore the relationship between a stressor identified in the minority stress model, internalized homophobia and mental health outcomes, and whether negative mood regulation expectancies (NMRE) affect this connection. NMRE are an individual’s confidence about their ability to improve their negative moods. I examined the associations among internalized homophobia, NMRE, depression, anxiety, somatic symptoms, and coping styles among men who have sex with men (MSM; N = 431). Participants completed self-report measures online. Results showed negative relationships of internalized homophobia with NMRE and active coping, and positive relationships with symptoms and avoidant coping. NMRE had a negative association with symptoms and avoidant coping, while correlating positively with active coping. NMRE independently predicted all coping and symptoms, while internalized homophobia only independently predicted active coping and depression symptoms. Results did not support moderation by NMRE of the relationship between internalized homophobia and symptoms. This study's findings support the assessment of internalized homophobia at the onset of psychotherapy and a targeted effort to reduce internalized homophobia for the improvement of sexual minority mental health, while enhancing NMRE for the LGBTQIA+ population.
Applied Conformal Field Theory

These lectures consisted of an elementary introduction to conformal field theory, with some applications to statistical mechanical systems, and fewer to string theory. Contents: 1. Conformal theories in d dimensions 2. Conformal theories in 2 dimensions 3. The central charge and the Virasoro algebra 4. Kac determinant and unitarity 5. Identication of m = 3 with the critical Ising model 6. Free bosons and fermions 7. Free fermions on a torus 8. Free bosons on a torus 9. Affine Kac-Moody algebras and coset constructions 10. Advanced applications
Kinematic clues to the formation and evolution of galaxies

To my mother, for her love of science and the curiosity she awakened in me iii iv Abstract This work investigates clues to galaxy evolution in the internal gas and stellar kinematics of 200 nearby galaxies, representing all morphological types and spanning luminosities from M B = ? 23 to ? 15. The frequency and morphology distribution of galaxies with counterrotating gas and stars provides fossil evidence for past interactions and mergers in the E/S0 galaxy population. The abundance of faint S0 counterrotators and the possible detection of a Magellanic irregular counterrotator suggest that disk galaxies may sometimes arise from mergers between dwarf galaxies. Large rotation curve asymmetries are also common for dwarf E/S0 and dwarf late-type galaxies. Both gas-stellar counterrotation and large rotation curve asymmetries are rare for spiral galaxies. Residuals from the Tully-Fisher (TF) relation in optical wavelength bands correlate with the evolutionary states of galaxies. For spirals brighter than M i R = ? 18, strong correlations between TF residuals and both B ? R color and H emission line strength make it possible to reduce the scatter in the TF relation to approximately the level of measurement errors. Sa galaxies and spirals with morphological peculiarities drive the extremes of these correlations, although they are continuous for all spirals. The slope of the color-TF residual correlation is steeper than expected from quiescently evolving disk galaxy models, which may indicate that large starbursts, e.g. those driven by interactions or minor mergers, play a signiicant role in the star formation histories of some spiral galaxies. Dwarf galaxies do not follow the same TF residual correlations. However, dwarfs with positive and negative TF residuals have distinct physical properties. Relatively overluminous dwarfs appear disturbed, with high rotation curve asymmetry and short gas consumption timescale, while underlu-minous dwarfs appear to be passively evolving. Due to this split in properties, the slope of the TF relation at low luminosities varies as a function of sample selection and environment. Finally, a recalibration of the intermediate-redshift Tully-Fisher relation indicates only modest, if any, luminosity evolution relative to the present epoch. A better analysis will require a statistically representative intermediate-redshift sample analogous to the low-redshift survey presented here.
Structural Characterization and Immunomodulatory Activities of Modified Pectic Polysaccharide from Decalepis hamiltonii (Swallow root)

Decalepis hamiltonii (Swallow root) has been used extensively for medicinal properties in Ayurveda, the ancient Indian system of medicine. In the present study, we isolated pectic polysaccharides from D. hamiltonii root and for better biological activities, polysaccharides were modified using acid precipitation method. The Modified Swallow Root Pectic Polysaccharide (MSRPP) had higher polyuronic content and lower neutral sugar content. The MSRPP contains main neutral sugars were arabinose and galactose and homogeneity and revealed to be as arabinogalacturonan type having galacturonic acid and arabinose back bone with galactose branching analyzed by FT-IR, GC-MS and NMR analysis. The effects of MSRPP on murine macrophages (RAW) demonstrated potent immunomodulatory activity, induced production of reactive oxygen species, nitric oxide, TNFα, and IL-6. Furthermore, modulation of macrophage function by MSRPP was mediated through activation of NFĸB. Together, our results showed that swallow root enriched source of varieties of bioactive compounds and MSRPP as an immunotherapeutic adjuvant and anti-metastatic activities.
Identifying Communities on Static Social Networks

: Many complex natural and social structures can be considered as networks. Internet sites, social networks, organizational communications, family connections, electronic mails, phone calls, and financial transactions are just a few examples of these networks. Nowadays, network analysis is one of the most popular and widely used research branches in the world. One of the most commonly used topics in network analysis is the identification of organizations in the network. In this research, we present the detection of communities in static social networks using the genetic algorithm and its improvement with the label propagation algorithm known as Genetic Algorithm-Label Propagation. The genetic algorithm explores the search space well and converges to the best answer. This algorithm is scalable and our results show that our proposed algorithm performs faster and better than other algorithms.
$L^2$-error estimates for finite element approximations of boundary fluxes

We prove quasi-optimal a priori error estimates for finite element approximations of boundary normal fluxes in the $L^2$-norm. Our results are valid for a variety of different schemes for weakly enforcing Dirichlet boundary conditions including Nitsche's method, and Lagrange multiplier methods. The proof is based on an error representation formula that is derived by using a discrete dual problem with $L^2$-Dirichlet boundary data and combines a weighted discrete stability estimate for the dual problem with anisotropic interpolation estimates in the boundary zone.
SYNTHESIS, SPECTRAL PROPERTIES DNA STUDIES OF LANTHANIDE (III) COMPLEXES OF 2-ACETYLPYRIDINE BENZOYLHYDRAZONE

formula of (where, Ln APBH = 2-acetylpyridine benzoylhydrazone) have been synthesized and characterized by analysis, conductance, spectroscopic (UV, electro chemical, thermal studies and single crystal x-ray with calf-thymus DNA have been investigated by using absorption spectrophotometry. The complexes interact with calf thymus DNA strongly (with Kb values of~ 105 M-1) suggesting significant groove binding. The complexes show nuclease activity via oxidative path way.