Miracle-dz/UniFAR-FTUs huggingface dataset:
submitter : Search for new physics in pp collision events with one electron and missing transverse energy using CMS data

In this thesis, a search for new physics in the electron + missing transverse energy channel is presented based on proton-proton collisions measured with the CMS detector at the LHC. The whole 2012 CMS dataset is used, which amounts to 20 fb−1 of collision data recorded at a center-of-mass energy of 8 TeV. In many extensions of the Standard Model of particle physics, the existence of addi- tional charged bosons called W′ is predicted. For this search, a simple W′ model with Standard Model-like properties is used as benchmark model with three diﬀerent sce- narios. Two of the three scenarios include interference eﬀects between the W′ and the Standard Model W. An additional interpretation is done in terms of an eﬀective four fermion contact interaction theory. No signiﬁcant deviation from the Standard Model prediction is found. For the deter- mination of exclusion limits on the parameters of the new theories, a multi-bin method was used which is a generalization of the methods used in previous searches and pub- lications of the same kind. This allows the inclusion of signal regions with destructive interference into the limit calculation. The W′ scenario without interference can be excluded at 95% CL for W′ masses up to 3.24 TeV. In the interference scenarios, the exclusion limits extend to 3.40 TeV and 3.55 TeV respectively. The four fermion contact interaction can be excluded for energy scales up to 12.0 TeV. A similar analysis was performed in the muon channel and will be published together with the results from this thesis [1].
Differences in the Results of the Evaluation of Special Program Implementation at Two Special Schools in the City of Banjarmasin

The evaluation obtained depends on the objectives of the evaluation program it self which of course have been formulated previously and are accounted for in the form of a program, to reward program implementers, for selection and promotion, for program improvement, and to predict the possibility of continuing the program in the future. This research is to find out the differences in the evaluation results of 2 Special Public Schools in the City of Banjarmasin, Indonesia. This type of research approach is to use a quantitative approach. The data collection technique was through a questionnaire accompanied by free interviews addressed to several teachers and the principal. The subjects of the study were 33 people, with details at the Pelambuan State Special School in Banjarmasin as many as 16 people and 17 people at the Public Special School 2 Banjarmasin City. The results of the data were analyzed using independent sample t test. The value of t count is 1.120 < t table is 2.040, then based on the basis of decision making through a comparison of the t count value with t table, it can be concluded that there is no difference in the average results of the evaluation of the implementation of special programs at the Pelambuan Banjarmasin State Special School and the Public Special School 2 Banjarmasin.
Weighted Correction and Discrete Wavelet based Fusion for Aerial Images

Background/Objectives: The work introduces new image mixture method combining Aerial Images using improved discrete cosine harmonic wavelet transforms (DCHWT). Methods/Statistical Analysis: An innovative method is planned that provides better results. Firstly, the input histogram image is converted into many segments and then the proposed method is applied to every segment taken for fusion. The performance of the proposed method is evaluated on the basis of PSNR, SSIM and Execution Time. Findings: The method was found to be quite efficient, fast and accurate. Applications/ Improvements: Significant improvement in PSNR and SSIM values is observed resulting in improved quality of the Aerial images.
Comparative Analysis of Heart Regeneration: Searching for the Key to Heal the Heart—Part I: Experimental Injury Models to Study Cardiac Regeneration

Cardiovascular diseases are the leading cause of death worldwide, among which, ischemic heart disease is the most prevalent. Myocardial infarction results from occlusion of a coronary artery, which leads to an insufficient blood supply to the myocardium. As is well known, the massive loss of cardiomyocytes cannot be solved due the limited regenerative ability of the adult mammalian heart. In contrast, some lower vertebrate species can regenerate the heart after injury; their study has disclosed some of the involved cell types, molecular mechanisms and signaling pathways during the regenerative process. In this two-part review, we discuss the current state of the principal response in heart regeneration, where several involved processes are essential for full cardiac function in recovery.
Under Cover: On-FPGA Coverage Monitoring by Netlist Instrumentation

Verifying a digital circuit design by using an FPGA-based emulation has the advantage that it can be tested in a realistic environment, for instance, with an attached analog frontend. Besides this, the emulation is typically faster than a hardware simulation. However, it is not feasible to retrieve any coverage information from an FPGA, as it is possible with a simulation. We present a method for instrumenting a design with synthesizable coverage monitors that enable proper coverage readout when using FPGA prototypes. We showcase our method on a UHF RFID based smart sensor interface with about 3600 flip-flops and demonstrate the instrumentation process and coverage readout. This allows verification and firmware engineers to run test cases with an FPGA-based emulation and also rely on standard metrics for test coverage.
Colloidal nanorod heterostructures for photovoltaics and optoelectronics

Colloidal quantum dots (QDs) synthesized in versatile, easy-to-process solutions are opening up exciting prospects in multiple areas, especially in biomedical imaging, photovoltaics, solid-state lighting and displays. The success of most of these prospects relies on high-quality heterostructures that improve optical properties. In particular, the core/shell heterostructure with a type I straddling band offset has been indispensable but the applicability is often limited to those exploiting only photoluminescence. QDs and their heterostructures can also be made with anisotropic shapes that allow access to essentially an unlimited number of combinations of size, shape and composition. Structures that allow enhancement of optical properties and physical accessibility for carrier injection/extraction simultaneously can open up new and exciting prospects in photovoltaics and optoelectronics. This topical review focuses on nanorod-based colloidal semiconductor heterostructures. Two-component, type II staggered band offset nanorod heterostructures capable of efficiently separating photoinduced charges are first discussed. Double heterojunction nanorods that contain three different phases are then considered with respect to their novelty and potential as emissive materials in light-emitting diodes. We conclude with an outlook on the possibility of developing colloidal nanorods that contain epitaxial interfaces beyond the conventional semiconductor heterojunctions.
On correlation analysis of many‐to‐many observations: an alternative to Pearson's correlation coefficient and its application to an ecotoxicological study

Correlation studies are an important hypothesis‐generating and testing tool, and have a wide range of applications in many scientific fields. In ecological studies in particular, multiple environmental variables are often measured in an attempt to determine relationships between chemical, physical and biological factors. For example, one may wish to know whether and how soil properties correlate with plant physiology. Although correlation coefficients are widely used, their properties and limitations are often imperfectly understood. This is especially the case when one is interested in correlations between, say, trace element content in sediments and in marine organisms, where no one‐to‐one correspondence exists. We show that evaluating Pearson's correlation coefficient for either site‐specific means or composite samples results in biased estimates, and we propose an alternative estimator. We use simulation studies to demonstrate that our estimator generally has a much smaller bias and mean squared error. We further illustrate its use in a case study of the correlation between trace element content in sediments and in mussels in Lyttelton Harbour, New Zealand.
From a stochastic Becker-Döring model to the Lifschitz-Slyozov equation with boundary value

We deal with the convergence in law of the stochastic Becker-Doring process to the Lifschitz-Slyozov partial differential equation, up to a small scaling parameter. The former is a probabilistic model for the lengthening/shrinking dynamics of a finite number and discrete size clusters, while the latter is seen as its infinite number and continuous size extension. In the Becker-Doring model, the clusters are assumed to increase or decrease their size (number of particles in a cluster) by addition or subtraction of only one single particle at a time (stepwise coagulation and fragmentation) without regarding the space structure. More precisely, in this model, the transitions are assumed to be Markovian and actually related to some random Poisson point measures. The lengthening rates depend on the size, the number of clusters of this size and the number of free particles throught a Law of Mass Action. The fragmentation rates depend on the size and the number of clusters of this size, through a spontaneous shricking (exponential law). The evolution of the configuration of the system is then described thanks to its empirical measure. It starts with a finite number of clusters and particles. So that, the state space of the model is finite (but possibly large) and bounded by the number of particles and clusters of all possible sizes up to the maximal one (given by the total number of particles in the system). Under an appropriate scaling of the rates parameters, the number of monomers and the sizes of clusters, we construct a rescaled measure-valued stochastic process from the empirical measure of the Becker-Doring model. We prove the convergence in law of this process towards a measure solution of the Lifschitz-Slyozov equation. This equation is of transport type with a nonlinear flux coupling the particle variable. The necessity of prescribing a boundary value at the minimal size naturally appears in the case of incoming characteristics. The value of the latter is still an open-debated question for this continuous model. The probabilistic approach of this work allows us to rigorously derive a boundary value as a result of a particular scaling (as opposed to a modeling choice) of the original discrete model. The proof of this result is mainly based on an adiabatic procedure, the boundary condition being the result of a separation of time scale and an averaging of a fast (fluctuating) variable.
Application of data dependent discrete Laplacian

Tento projekt byl podpořen Ministerstvem skolstvi, mladeže a tělovýchovy Ceske republiky v ramci projektu SGS 2016-013. Studentska vědecka konference je pořadana s podporou prostředků na specifický vysokoskolský výzkum SVK1-2018-024.
Modelling of an electric drive based on a DC motor and variable load influence examination

A mathematical model of an electric drive created on the basis of a direct current motor with different types of excitation - independent, parallel and serial - was formed. Their characteristics were studied in the Simulink environment, and how taking into account the variable load of the electric drive caused by the arm of the robot affects this model. Such load is the source of the nonlinear component, which is introduced into the equation of motion of the electric drive and which must be taken into account in the design of the robot arm control system. Streszczenie.
Advances and Applications of Multiple Scale Methods in Complex Dynamical Systems

Advances and Applications of Multiple Scale Methods in Complex Dynamical Systems Armand Issam Awad Chair of the Supervisory Committee: Assistant Professor Anshu Narang-Siddarth Aeronautics & Astronautics High dimensionality, numerical sti ness, and complex subsystem interactions pose fundamental challenges for the design, analysis, and certi cation of modern aerospace systems. This dissertation addresses these issues by leveraging multiple timescale behaviour to formulate mathematically rigorous reduced-order models that are then used to simplify design, treat numerical sti ness, and provide conditions under which desired behaviour is guaranteed for the original system. The approach is based on concepts of asymptoticity and singular perturbation theory. First, classical multiple scale methods are generalized to analyze classes of systems that depend on a combination of continuous time and/or discrete clocks. It is shown how discrete clock rates cause multiple timescale behaviour to occur in these systems, and corresponding reduced-order models are developed along with asymptotic error bounds on the resulting approximations. Next, a new technique is developed for e ciently and accurately propagating the trajectories of satellites that are subject to non-conservative forces such as atmospheric drag and solar radiation pressure. Importantly, the approach gives explicit insight into the e ects of parametric uncertainties in these non-conservative forces on the resulting trajectory solution. Finally, reduced-order design and analysis is investigated for several problems in networked dynamics systems. In particular, conditions are provided under which the dynamics of the agents can be designed separately from the dynamics of the network process. Further, quantitative bounds are established on the underlying graph topology and on the agents' communication rate that guarantee desirable behaviour when these separately designed dynamics are coupled together.
Transcriptomic Responses of Salvia hispanica to the Infestation of Red Spider Mites (Tetranychus neocaledonicus)

Salvia hispanica (chia) is a highly nutritious food source and has gained popularity due to its high omega-3 fatty acid content. Red spider mites are a serious problem in the production of S. hispanica. However, no study has been conducted to analyze the defensive response to the infestation of red spider mites in S. hispanica. To elucidate the molecular mechanisms of the defensive response of S. hispanica to red spider mites, we performed a transcriptomic analysis of S. hispanica when infested by red spider mites. In the comparative assessment of leaf transcriptomes, a total of 1743 differentially expressed genes (DEGs) were identified between control and mite-infested S. hispanica. From these, 1208 (69%) transcripts were upregulated and 535 (31%) were downregulated. The DEGs included transcription factors, defense hormones, and secondary metabolites that were either suppressed or activated in response to spider mite herbivory. Gene Ontology (GO) enrichment analysis revealed that plant secondary metabolites, such as glucosinolates, and signaling pathways, including the jasmonic acid signaling pathway, may play an important role in the defense against red spider mites. This study provides novel insights into the defense response of S. hispanica to insect herbivory and could be a resource for the improvement of pest resistance in the chia.
Exploring consumer intentions to adopt telepharmacy services and development strategic recommendations: three theoretical approaches

In the new normal era, telepharmacy represents an online platform for pharmaceutical services that offer various options and opportunities for pharmacists and pharmacies. This study aims to determine the factors that influence the intention to adopt telepharmacy services using 3 theoretical approaches, namely DeLone and McLean, Technology Acceptance Model (TAM), Theory of Acceptance and Use of Technology (UTAUT). The method used in this study was a cross-sectional survey; the sample used was 560 respondents. The primary data used in this study was through questionnaire. Data processing and analysis techniques were carried out using a statistical approach using the SmartPLS 3.0 software. The empirical model was analyzed and interpreted in two stages. First, evaluate the measurement model. Second, analysis the structural model, path coefficients, and determining the fit model. The results show that Facilitating condition, easy skillful; Efficacy response, social influence, and support; Promised time, system quality; Understanding, proficient, confident, and information quality are significantly influence the intention to adopt telepharmacy services.
Gene loss and co-option of toll-like receptors facilitate paternal immunological adaptation in the brood pouch of pregnant male seahorses

Male pregnancy in syngnathids (seahorses, pipefishes, and sea dragons) is an evolutionary innovation in the animal kingdom. Paternal immune resistance to the fetus is a critical challenge, particularly in seahorses with fully enclosed brood pouches and sophisticated placentas. In this study, comparative genomic analysis revealed that all syngnathid species lost three vertebrate-conserved Toll-like receptors (TLR1, TLR2, and TLR9), of which all play essential roles in immune protection and immune tolerance in the uterus and placenta. Quantitative real-time PCR (qRT-PCR) analysis showed that the TLR paralog genes including TLR18, TLR25, and TLR21 were highly expressed in the placenta inside the seahorse brood pouch and changed dynamically during the breeding cycle, suggesting the potentially important role of the TLRs during male pregnancy. Furthermore, the immune challenge test in vitro showed a remarkable expression response from all three TLR genes to specific pathogenic antigens, confirming their immune function in seahorse brood pouches. Notably, the altered antigen recognition spectrum of these genes appeared to functionally compensate in part for the lost TLRs, in contrast to that observed in other species. Therefore, we suggest that gene loss and co-option of TLRs may be a typical evolutionary strategy for facilitating paternal immunological adaptation during male pregnancy.
Accelerated Gillespie Algorithm for Gas–Grain Reaction Network Simulations Using Quasi-steady-state Assumption

Although the Gillespie algorithm is accurate in simulating gas–grain reaction networks, so far its computational cost is so expensive that it cannot be used to simulate chemical reaction networks that include molecular hydrogen accretion or the chemical evolution of protoplanetary disks. We present an accelerated Gillespie algorithm that is based on a quasi-steady-state assumption with the further approximation that the population distribution of transient species depends only on the accretion and desorption processes. The new algorithm is tested against a few reaction networks that are simulated by the regular Gillespie algorithm. We found that the less likely it is that transient species are formed and destroyed on grain surfaces, the more accurate the new method is. We also apply the new method to simulate reaction networks that include molecular hydrogen accretion. The results show that surface chemical reactions involving molecular hydrogen are not important for the production of surface species under standard physical conditions of dense molecular clouds.
The role of perceptual similarity and gradient phonotactic well-formedness in loan gemination processes/

Loan gemination is a cross-linguistically widespread phenomenon: short consonants preceded by short stressed vowels in the source language are borrowed as long in loanwords. It is generally considered to be an 'unnecessary' adaptation (Peperkamp, 2005), because it does not repair any illegal sequences in the native phonotactics of the borrowing languages. Hungarian is a particularly interesting case of a seemingly unnecessary adaptation: in the native phonology, both singletons and geminates can be found in word-final and intervocalic position (where loan gemination could potentially apply), therefore on the face of it there is nothing in the native phonotactics that would require gemination (Nddasdy, 1989). In this thesis, I present a detailed case study of Hungarian loan gemination and argue that this process is heavily influenced by native phonotactics (i.e. geminate markedness which is also reflected in the distribution of geminates in the native phonology), perceptual similarity effects (faithfulness to source vowel duration), and orthography. I propose a MaxEnt model with weighted constraints which incorporates these factors and predicts the probability of productive loan gemination. Thesis Supervisor: Adam Albright Title: Professor
Salt and osmotic stress can improve the editing efficiency of CRISPR/Cas9-mediated genome editing system in potato

CRISPR/Cas9-mediated genome editing technology has been widely used for the study of gene function in crops, but the differences between species have led to widely varying genome editing efficiencies. The present study utilized a potato hairy root genetic transformation system and incorporated a rapid assay with GFP as a screening marker. The results clearly demonstrated that salt and osmotic stress induced by NaCl (10 to 50 mM) and mannitol (50 to 200 mM) treatments significantly increased the positive rates of genetic transformation mediated by A. rhizogenes and the editing efficiency of the CRISPR/Cas9-mediated genome editing system in potato. However, it was observed that the regeneration of potato roots was partially inhibited as a result. The analysis of CRISPR/Cas9-mediated mutation types revealed that chimeras accounted for the largest proportion, ranging from 62.50% to 100%. Moreover, the application of salt and osmotic stress resulted in an increased probability of null mutations in potato. Notably, the highest rate of null mutations, reaching 37.5%, was observed at a NaCl concentration of 10 mM. Three potential off-target sites were sequenced and no off-targeting was found. In conclusion, the application of appropriate salt and osmotic stress significantly improved the editing efficiency of the CRISPR/Cas9-mediated genome editing system in potato, with no observed off-target effects. However, there was a trade-off as the regeneration of potato roots was partially inhibited. Overall, these findings present a new and convenient approach to enhance the genome editing efficiency of the CRISPR/Cas9-mediated gene editing system in potato.
Meaning of Thrifting in the #TukarBaju Campaign in the Zero Waste Indonesia Community

The phenomenon of thrifting or buying used clothes is becoming increasingly popular among young people and has attracted public attention because it is considered as one of the sustainable efforts by applying the principles of sustainable fashion.In interpreting this, the researcher then chose the Tukar Baju community as the object of research as well as a representation of environmental activists engaged in the realm of sustainable fashion. This research uses a qualitative method with an ethnographic type of research to see the meaning of thrifting from Tukar Baju activists and how the process of interaction and exchange of meaning between individuals can strengthen the meaning of thrifting as a form of sustainable fashion effort. Researchers found a pyramid concept of "Buyerarchy of need" in interpreting thrifting as a continuous effort and thrifting is at level 4 and which means thrifting is not the only one. So, to strive for sustainable fashion through thrifting, people need to be smart and not impulsive consumers.