Miracle-dz/UniFAR-FTUs huggingface dataset:
Some examples of simulation model validation using hypothesis testing

The use of hypothesis testing with cost-risk analysis is illustrated for simulation model validation by two examples. In the first example, Hotelling's two-sample T<sup>2</sup> test with cost-risk analysis is used for illustrating the validation of a multivariate response self-driven steady-state simulation model representing a single server M/M/1 queueing system. In the second example, the validation of a multivariate response trace-driven terminating simulation model representing an M/M/1 system is illustrated by the use of Hotelling's one-sample T<sup>2</sup> test with cost-risk analysis.
มุม ห้องเรียน Take Peek at a Classroom Corner

The objectives of this study were to: 1) develop an International Health Education Course Curriculum for Undergraduate students: An Environment for Health; and 2) examine the effectiveness of the curriculum. This course was based on the reconstructionism and progressivism philosophies which focused on solving social problems and instilling within students health behaviors and communication. The course was also expected to serve ASEAN needs of health communication and cooperation as well as world environmental concerns affecting health. The research used a mixed method of qualitative and quantitative approaches in a descriptive and one group experiment. The study comprised three phases: 1) course curriculum development with participants in four groups investigating need analysis, 2) research on instrumental development, and 3) examine the effectiveness of the course curriculum implementation using purposive sampling. Data was gathered twice for implementation, in academic year 2014 (2557 B.E.) and 2016 (2559 B.E.).
Becker Digital

Background: We describe the genome of the western painted turtle, Chrysemys picta bellii , one of the most widespread, abundant, and well-studied turtles. We place the genome into a comparative evolutionary context, and focus on genomic features associated with tooth loss, immune function, longevity, sex differentiation and determination, and the species ’ physiological capacities to withstand extreme anoxia and tissue freezing. Results: Our phylogenetic analyses confirm that turtles are the sister group to living archosaurs, and demonstrate an extraordinarily slow rate of sequence evolution in the painted turtle. The ability of the painted turtle to withstand complete anoxia and partial freezing appears to be associated with common vertebrate gene networks, and we identify candidate genes for future functional analyses. Tooth loss shares a common pattern of pseudogenization and degradation of tooth-specific genes with birds, although the rate of accumulation of mutations is much slower in the painted turtle. Genes associated with sex differentiation generally reflect phylogeny rather than convergence in sex determination functionality. Among gene families that demonstrate exceptional expansions or show signatures of strong natural selection, immune function and musculoskeletal patterning genes are consistently over-represented. Conclusions: Our comparative genomic analyses indicate that common vertebrate regulatory networks, some of which have analogs in human diseases, are often involved in the western painted turtle ’ s extraordinary physiological capacities. As these regulatory pathways are analyzed at the functional level, the painted turtle may offer important insights into the management of a number of human health disorders.
Dynamic Cooperative Search for constraint satisfaction and combinatorial optimization : application to a rostering problem

In this paper, we are interested in enumerative resolution methods for combinatorial optimization (COP) and constraint satisfaction problems (CSP). We introduce a new approch for the management of branching, called Dynamic Cooperative Search (DCS) inspired from the impact-based search method proposed in [7] for CSPs. This method deﬁnes in a dynamic way priority rules for variable and value selection in the branching scheme. These rules are meant to be independent of the considered problem. As in [7], the principle is to take into account, through learning methods, of the impact of branching decisions in already explored subparts of the search tree. We show the interest of DCS on a real-life rostering problem.
Pharmaceutical product development: A quality by design approach

The application of quality by design (QbD) in pharmaceutical product development is now a thrust area for the regulatory authorities and the pharmaceutical industry. International Conference on Harmonization and United States Food and Drug Administration (USFDA) emphasized the principles and applications of QbD in pharmaceutical development in their guidance for the industry. QbD attributes are addressed in question-based review, developed by USFDA for chemistry, manufacturing, and controls section of abbreviated new drug applications. QbD principles, when implemented, lead to a successful product development, subsequent prompt regulatory approval, reduce exhaustive validation burden, and significantly reduce post-approval changes. The key elements of QbD viz., target product quality profile, critical quality attributes, risk assessments, design space, control strategy, product lifecycle management, and continual improvement are discussed to understand the performance of dosage forms within design space. Design of experiments, risk assessment tools, and process analytical technology are also discussed for their role in QbD. This review underlines the importance of QbD in inculcating science-based approach in pharmaceutical product development.
Dispersive Analysis of Glide-Symmetric Structures with a Multi-Mode Analysis

The knowledge of complex wavenumber of Bloch modes in a periodic structure is a fundamental step required to design actual devices. The wavenumber describes the dispersive properties of the structure, i.e. the distribution of pass-bands (guiding-wave type) and stop-bands (EBG type) in the frequency range of interest. While the real part of this wavenumber carries information on phase and group velocities, the imaginary part gives important information about the isolation achieved by an EBG used to decouple different circuits, on losses when working in a lossy pass-band, and on radiation, when radiating power into the surrounding space. However, the attenuation constant is not directly provided by the eigensolver tools of common commercial software. The importance of its calculation stimulates research in the development of methods to perform easily this kind of analysis. This is particularly true for a specific class of periodic structures, glide-symmetric structures. Glide symmetric structures are periodic structures invariant under a translation of half a period along the periodicity directions plus a mirroring with respect to a plane (the “glide plane”). This corresponds to placing two identical plates with periodic inclusions one in front of the other, and off-shifting them of half the period. This misalignment allows non-dispersive modes over a wideband of frequencies [1], larger stopbands [2], wide-band matching layers in
Type Inference of Polymorphic and Overloaded Functions Towards Static Typing of Dynamic Languages

We present a type-checker prototype that aims to be used with dynamic languages featuring type-cases, such as JavaScript or Elixir. This type system is able to refine the environment when typing the branches of a type-case (occurrence typing), supports both parametric polymorphism (essential for modularity) and ad-hoc polymorphism through intersection types (essential for capturing overloaded behaviors), and features type inference
Characterization of Brucellaphage using RAPD and microsatellite repeat marker

Brucellosis is an important zoonotic infection of worldwide significance. In this study the recently isolated lytic brucellaphage ' Φ Ld' against Brucella abortus was characterized using random amplified polymorphic DNA (RAPD) and inter simple sequence repeats (ISSR) markers. Out of 18 RAPD primers used, 15 primers were able to generate distinct finger prints / amplicons ranged from two to twelve fragments. The RAPD finger prints produced were distinct and highly reproducible. A total of 18 microsatellite repeat (ISSR) markers used in the study had revealed that the phage genome consists of di-nucleotide repeats of AG, TG and CT and tri-nucleotide repeat of AGC and ACG. The RAPD and microsatellite fingerprinting has generated the basic information about the genomic composition of the Indian isolate of Brucellaphage which could be useful in the identification and discrimination of new phage and high resolution brucellaphage diversity studies.
“The constipation conundrum”: Improving recognition of constipation on a gastroenterology ward

Constipation is a common and often overlooked problem, but it can cause serious complications for patients including pain, nausea, urinary retention, and prolonged hospital admission. There are no recognised criteria for the diagnosis of constipation in the acute hospital setting, and it is often the role of the ward doctor to identify and manage this problem. Completion and monitoring of “stool charts” by nursing and medical staff is key to proper recognition and management of constipation. A baseline study found that while charts were completed well, they were only monitored by doctors 17.5% of the time. This quality improvement project introduced an altered “continuation sheet” to the clinical notes to prompt monitoring of stool charts and provide an area for documentation. This resulted in an increase in monitoring to 66.7%.
UvA-DARE (Digital Detecting and disrupting criminal networks

Objectives: This study aims to gain insight into what constitutes the drug community in the Russian Federation; in- formation that is absent in official governmental data but is vital for developing effective and much needed intervention strategies to counter the on-going ‘drug epidemic’. Methods Members of the on-line drug community are identified from a crawled set of almost 100,000 users from the social network ‘LiveJournal’ by context sensitive text mining of the users’ blogs using a dictionary of known drug- related official and ‘slang’ terminology. The interests that are more (or less) common within this sub-community are determined using Fisher’s exact tests and Hochberg and Benjamini’s false discovery rate control procedure. A ‘psychological portrait’ of the ‘average’ Russian drug user is created by clustering these indicative interests. Methods: A naive Bayesian classifier is presented for assessing one’s susceptibility to the ‘drug virus’. Results A total of 268 significant interests separating between users that most actively spread information on narcotics and the rest of the network and a set of themes summarizing these interests. Three sub-networks of users which can be uniquely classified as being either ‘infectious’, ‘susceptible’ or ‘immune’ to the ‘drug virus’. N = 23 6 Nodes Results and Conclusions: The ‘average’ drug user in the Russian Federation is generally more interested in topics such as Russian rock, non-traditional medicine, UFOs, Buddhism, yoga and the occult. The three sub-networks are all scale-free. The presented method seems to be fruitful for assessing opaque communities within society and could be utilized for scraping darknet criminal fora, such as Silkroad, to infer criminal networks from online data. the classifi cation method in this
Pharmacokinetics and pharmacodynamics utilizing unbound target tissue exposure as part of a disposition-based rationale for lead optimization of benzoxaboroles in the treatment of Stage 2 Human African Trypanosomiasis

SUMMARY This review presents a progression strategy for the discovery of new anti-parasitic drugs that uses in vitro susceptibility, time-kill and reversibility measures to define the therapeutically relevant exposure required in target tissues of animal infection models. The strategy is exemplified by the discovery of SCYX-7158 as a potential oral treatment for stage 2 (CNS) Human African Trypanosomiasis (HAT). A critique of current treatments for stage 2 HAT is included to provide context for the challenges of achieving target tissue disposition and the need for establishing pharmacokinetic–pharmacodynamic (PK–PD) measures early in the discovery paradigm. The strategy comprises 3 stages. Initially, compounds demonstrating promising in vitro activity and selectivity for the target organism over mammalian cells are advanced to in vitro metabolic stability, barrier permeability and tissue binding assays to establish that they will likely achieve and maintain therapeutic concentrations during in-life efficacy studies. Secondly, in vitro time-kill and reversibility kinetics are employed to correlate exposure (based on unbound concentrations) with in vitro activity, and to identify pharmacodynamic measures that would best predict efficacy. Lastly, this information is used to design dosing regimens for pivotal pharmacokinetic–pharmacodyamic studies in animal infection models.
Hypercalcemia, hypercalciuria, and elevated calcitriol concentrations with autosomal dominant transmission due to CYP24A1 mutations: effects of ketoconazole therapy.

BACKGROUND Mutations of the CYP24A1 gene, which encodes the 1,25-dihydroxyvitamin D-24-hydroxylase cytochrome P450, Cyp24A1, are predicted to result in elevated 1,25-dihydroxyvitamin D concentrations, hypercalcemia, hypercalciuria, nephrolithiasis, and bone disease. Treatment of hypercalcemia associated with CYP24A1 gene mutations has not been described. METHODS The genetic basis of a syndrome in a 44-yr-old Caucasian male characterized by intermittent hypercalcemia, hypercalciuria, elevated serum 1,25-dihydroxyvitamin D, undetectable serum 24,25-dihydroxyvitamin D, metabolically active nephrolithiasis, and reduced bone mineral density of the lumbar spine was examined. Sequencing of the CYP24A1 gene and biochemical and genetic analysis of seven family members in three generations was carried out. Because of hypercalcemia, hypercalciuria, and metabolically active nephrolithiasis, the patient was treated with a cytochrome 3A inhibitor, ketoconazole, 200 mg orally every 8 h, for 2 months. RESULTS The sequence of the CYP24A1 gene showed two canonical splice junction mutations in the proband. Analysis of family members showed a phenotype associated one or both mutations, suggesting autosomal dominant transmission with partial penetrance of the trait. After therapy with ketoconazole, statistically significant reductions in previously elevated urinary calcium into the normal range were noted. Previously elevated serum 1,25-dihydroxyvitamin D and calcium concentrations decreased, and previously decreased PTH concentrations increased into the normal range, but the differences were not statistically significant. CONCLUSIONS In a syndrome characterized by intermittent hypercalcemia, hypercalciuria, elevated 1,25-dihydroxyvitamin D, undetectable 24,25-dihydroxyvitamin D concentrations, splice junction mutations of the CYP24A1 gene, and autosomal dominant transmission of the trait, treatment with ketoconazole is useful in reducing urinary calcium.
, A. (2012). Statistical treatment choice based on asymmetric minimax regret criteria. Journal of Econometrics, 166(1), 157-165.

This paper studies the problem of treatment choice between a status quo treatment with a known outcome distribution and an innovation whose outcomes are observed only in a (cid:133)nite sample. I evaluate statistical decision rules, which are functions that map sample outcomes into the planner(cid:146)s treatment choice for the population, based on regret, which is the expected welfare loss due to assigning inferior treatments. I extend previous work started by Manski (2004) that applied the minimax regret criterion to treatment choice problems by considering decision criteria that asymmetrically treat Type I regret (due to mistakenly choosing an inferior new treatment) and Type II regret (due to mistakenly rejecting a superior innovation) and derive exact (cid:133)nite sample solutions to these problems for experiments with normal, Bernoulli and bounded distributions of outcomes. The paper also evaluates the properties of treatment choice and sample size selection based on classical hypothesis tests and power calculations in terms of regret.
Guidelines for the presentation and visualisation of lifelog content

Lifelogs offer rich voluminous sources of personal and social data for which visualisation is ideally suited to providing access, overview, and navigation. We explore through examples of our visualisation work within the domain of lifelogging the major axes on which lifelogs operate, and therefore, on which their visualisations should be contingent. We also explore the concept of ‘events’ as a way to significantly reduce the complexity of the lifelog for presentation and make it more human-oriented. Finally we present some guidelines and goals which should be considered when designing presentation modes for lifelog content
Discrete Laplace-Beltrami Operator on Sphere and Optimal Spherical Triangulations

In this paper we first modify a widely used discrete Laplace-Beltrami operator proposed by Meyer et al over triangular surfaces, and then we show that the modified discrete operator has some convergence properties over the triangulated spheres. A sequence of spherical triangulations which is optimal in certain sense and leads to smaller truncation error of the discrete Laplace-Beltrami operator is constructed. Optimal hierarchical spherical triangulations are also given. Truncation error bounds of the discrete Laplace-Beltrami operator over the constructed triangulations are provided.
Automatic image dataset construction with multiple textual metadata

The goal of this work is to automatically collect a large number of highly relevant images from the Internet for given queries. A novel image dataset construction framework is proposed by employing multiple textual metadata. In specific, the given queries are first expanded by searching in the Google Books Ngrams Corpora to obtain a richer semantic description, from which the visually non-salient and less relevant expansions are then filtered. After retrieving images from the Internet with filtered expansions, we further filter noisy images by clustering and progressively Convolutional Neural Networks (CNN). To verify the effectiveness of our proposed method, we construct a dataset with 10 categories, which is not only much larger than but also have comparable cross-dataset generalization ability with manually labeled dataset STL-10 and CIFAR-10.
Engineering approaches to investigate pneumococcal gene expression regulation and antibiotic resistance development

Streptococcus pneumoniae can cause disease in various human tissues and organs, including the ear, the brain, the blood and the lung, and thus in highly diverse and changing environments. It is challenging to study how pneumococci control virulence factor expression because cues of natural environments and the presence of an immune system are difficult to simulate in the lab. Here, we apply synthetic biology methods to reverse engineer gene expression control in S. pneumoniae . A selection platform is described that allows for straightforward identification of regulatory elements out of combinatorial libraries. Furthermore, we demonstrate TetR-and LacI-regulated promoters that show dynamic ranges of four orders of magnitude. On the basis of these promoters, regulatory networks of higher complexity are assembled, such as inverters and a logic AND gate. Finally, we present single-copy genomic integrated toggle switches that give rise to bimodal population distributions. The tools described here pave the way for in vivo investigations of the importance of gene expression control on the pathogenicity of S. pneumoniae and can be used to mimic expression patterns of essential virulence factors.
DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p<0.05 in the combined analysis. Four of the five genes for which strongest evidence of association was observed were DNA glycosylases. The strongest evidence was for rs1466785 in the NEIL2 (endonuclease VIII-like 2) gene (HR: 1.09, 95% CI (1.03-1.16), p = 2.7 × 10(-3)) for association with breast cancer risk in BRCA2 mutation carriers, and rs2304277 in the OGG1 (8-guanine DNA glycosylase) gene, with ovarian cancer risk in BRCA1 mutation carriers (HR: 1.12 95%CI: 1.03-1.21, p = 4.8 × 10(-3)). DNA glycosylases involved in the first steps of the BER pathway may be associated with cancer risk in BRCA1/2 mutation carriers and should be more comprehensively studied.
Modeling the light of LED's for position detection with an optical sensor

The optical systems are increasingly used to determine the motion. The optical systems use a light source like a LED and an optical sensor, they are based on the object view on the optical sensor. One parameter measured in building management is building movement. The accuracy is critical in building safety, the requirements is ±150μm. The geometrical principle of measurements considers the LED's as a point and a uniform light source. The emitted light is affected by the refraction on LED and on the optical sensor surface. The optical phenomenon and the erroneous position of LED on the PCB affect the geometry of measurement. All these introduce an error in object position calculation having the magnitude of mm. These phenomena can be modeled by a calibration equation which is established by interpolating the measured value with the object position measured with a high accuracy position system. For increasing the accuracy of measurement the calibration equation is determinate on areas. The measurement system use a microcontroller as a central processing unit, the complexity of calibration equation is limited by the power calculus of microcontroller. Using the modeling equation the accuracy of measurement is essential improved. On 0X direction the accuracy is of ±50μm and on direction 0Y is ±150μm.