Miracle-dz/UniFAR-FTUs huggingface dataset:
Plerixafor and granulocyte colony-stimulating factor for first-line steady-state autologous peripheral blood stem cell mobilization in lymphoma and multiple myeloma: results of the prospective PREDICT trial

In Europe, the combination of plerixafor + granulocyte colony-stimulating factor is approved for the mobilization of hematopoietic stem cells for autologous transplantation in patients with lymphoma and myeloma whose cells mobilize poorly. The purpose of this study was to further assess the safety and efficacy of plerixafor + granulocyte colony-stimulating factor for front-line mobilization in European patients with lymphoma or myeloma. In this multicenter, open label, single-arm study, patients received granulocyte colony-stimulating factor (10 μg/kg/day) subcutaneously for 4 days; on the evening of day 4 they were given plerixafor (0.24 mg/kg) subcutaneously. Patients underwent apheresis on day 5 after a morning dose of granulocyte colony-stimulating factor. The primary study objective was to confirm the safety of mobilization with plerixafor. Secondary objectives included assessment of efficacy (apheresis yield, time to engraftment). The combination of plerixafor + granulocyte colony-stimulating factor was used to mobilize hematopoietic stem cells in 118 patients (90 with myeloma, 25 with non-Hodgkin's lymphoma, 3 with Hodgkin's disease). Treatment-emergent plerixafor-related adverse events were reported in 24 patients. Most adverse events occurred within 1 hour after injection, were grade 1 or 2 in severity and included gastrointestinal disorders or injection-site reactions. The minimum cell yield (≥2×106 CD34+ cells/kg) was harvested in 98% of patients with myeloma and in 80% of those with non-Hodgkin's lymphoma in a median of one apheresis. The optimum cell dose (≥5×106 CD34+ cells/kg for non-Hodgkin's lymphoma or ≥6×106 CD34+ cells/kg for myeloma) was harvested in 89% of myeloma patients and 48% of non-Hodgkin's lymphoma patients. In this prospective, multicenter European study, mobilization with plerixafor + granulocyte colony-stimulating factor allowed the majority of patients with myeloma or non-Hodgkin's lymphoma to undergo transplantation with minimal toxicity, providing further data supporting the safety and efficacy of plerixafor + granulocyte colony-stimulating factor for front-line mobilization of hematopoietic stem cells in patients with non-Hodgkin's lymphoma or myeloma.
Effects of temperature and live prey concentration on Colossoma macropomum larviculture

Objective. The study evaluated the performance and survival of Colossoma macropomum larvae at different temperatures and concentrations of prey. Materials and methods. Two temperatures (28 and 32ºC) (T) and two initial daily concentrations (500 and 1,000 Artemia nauplii per larva) (CP) of prey were used. These concentrations were increased every 5 days during the first 15 days of cultivation. From the 16th to the 30th day, the larvae received exclusively a commercial diet. Results. In the first 7 days, weight (P), total length (TL) and daily specific growth rate (SGR) were higher for T32 treatments (p<0.05). After 15 days, P, TL and SGR were higher for CP1000 (p<0.05). After 22 days, P and TL suffered the effect of the initial concentration of prey and water temperature with higher values for CP1000 and T32 (p<0.05). At the end of 30 days of cultivation, P was affected only by water temperature with higher values for T32 (p<0.05). The TL showed an effect of temperature and initial concentration of prey with higher values for CP1000 and T32 (p<0.05). During feeding with a commercial diet (days 16-30 of cultivation), survival was higher for T32 (94.38±6.12%) (p<0.05), with no difference for initial prey concentration. Conclusions. It is concluded that the larviculture of C. macropomum must be carried out with a temperature of 32° C and that the food management must be differentiated during the first 15 days, positively influenced in the period of feeding with ration.
Nasoalveolar Morphology Following Presurgical Orthopedic Treatment in Unilateral Cleft Lip Alveolus and Palate Infants

Aim: The importance of presurgical orthopedic treatment is widely recognized. The objectives are to monitoring function (feeding, tongue posture), aiding speech development. It helps the surgeon to close the floor of the nose, stimulate palatal bone growth, reduce middle infection, and prevent the collapse of the palatal segment. The purpose of this study was to examine characteristics of the nasoalveolar and palatal configurations in the complete unilateral cleft lip and palate (UCLP) patients and to determine the effect of early orthopedic treatment in complete UCLP patients. Materials and Methods: A total of 20 infants were included in the study divided into two groups. Group A consisted of 10 infants with non-syndromic cleft lip alveolus and palate and was treated with presurgical orthopedic treatment Hotz appliance for 3 months. Group B comprises 10 infants of 5 months without cleft lip and palate deformity included in the study as the control group. Results: The test showed a statistical difference regarding the decrease in cleft alveolus width, the decline in the width of the nostril on the cleft side. The intercanthal distance increased at the end of 3 months following the use of Hotz plate (P = 0.001) statistically significant. The alar width decreased at the end of the 3 moths which is statistically significant (P = 0.001). Conclusion: The alveolar dimensions in children with UCLP can approach the dimensions of non-cleft contemporaries in spite of surgical interventions, but the dimensions are, as a rule, under the mean values of normal. Each alveolar segment grew along the guidance of Hotz’s plate, and the growth was found mainly at the edge of the alveolus. The anterior nasal spine and nasal septum did not seem to influence by passive appliances such as Hotz’s plate.
Neurotic illness and its response to anxiolytic and antidepressant treatment

SYNOPSIS Two hundred and forty neurotic out-patients were allocated to no diagnostic category but were rated in terms of observer and self ratings of both depression and anxiety at weekly intervals during a 4-week trial of amitriptyline, diazepam, amitriptyline and diazepam, and placebo. The sample could not be divided into anxious and depressed groups on the basis of the clinical picture. The outcome tended to be good irrespective of medication but the significant drug effects found were due to amitriptyline and concerned measures of anxiety as well as depression. It is concluded that a distinction between anxiety and depression in neurotic out-patients is of no practical value with regard to drug treatment.
Distributed robotic sensor networks: An information-theoretic approach

In this paper we present an information-theoretic approach to distributively control multiple robots equipped with sensors to infer the state of an environment. The robots iteratively estimate the environment state using a sequential Bayesian filter, while continuously moving along the gradient of mutual information to maximize the informativeness of the observations provided by their sensors. The gradient-based controller is proven to be convergent between observations and, in its most general form, locally optimal. However, the computational complexity of the general form is shown to be intractable, and thus non-parametric methods are incorporated to allow the controller to scale with respect to the number of robots. For decentralized operation, both the sequential Bayesian filter and the gradient-based controller use a novel consensus-based algorithm to approximate the robots’ joint measurement probabilities, even when the network diameter, the maximum in/out degree, and the number of robots are unknown. The approach is validated in two separate hardware experiments each using five quadrotor flying robots, and scalability is emphasized in simulations using 100 robots.
Consumption of Methane and CO2 by Methanotrophic Microbial Mats from Gas Seeps of the Anoxic Black Sea

ABSTRACT The deep anoxic shelf of the northwestern Black Sea has numerous gas seeps, which are populated by methanotrophic microbial mats in and above the seafloor. Above the seafloor, the mats can form tall reef-like structures composed of porous carbonate and microbial biomass. Here, we investigated the spatial patterns of CH4 and CO2 assimilation in relation to the distribution of ANME groups and their associated bacteria in mat samples obtained from the surface of a large reef structure. A combination of different methods, including radiotracer incubation, beta microimaging, secondary ion mass spectrometry, and catalyzed reporter deposition fluorescence in situ hybridization, was applied to sections of mat obtained from the large reef structure to locate hot spots of methanotrophy and to identify the responsible microbial consortia. In addition, CO2 reduction to methane was investigated in the presence or absence of methane, sulfate, and hydrogen. The mat had an average δ13C carbon isotopic signature of −67.1‰, indicating that methane was the main carbon source. Regions dominated by ANME-1 had isotope signatures that were significantly heavier (−66.4‰ ± 3.9 ‰ [mean ± standard deviation; n = 7]) than those of the more central regions dominated by ANME-2 (−72.9‰ ± 2.2 ‰; n = 7). Incorporation of 14C from radiolabeled CH4 or CO2 revealed one hot spot for methanotrophy and CO2 fixation close to the surface of the mat and a low assimilation efficiency (1 to 2% of methane oxidized). Replicate incubations of the mat with 14CH4 or 14CO2 revealed that there was interconversion of CH4 and CO2. The level of CO2 reduction was about 10% of the level of anaerobic oxidation of methane. However, since considerable methane formation was observed only in the presence of methane and sulfate, the process appeared to be a rereaction of anaerobic oxidation of methane rather than net methanogenesis.
The effect of digital zakat and accounting on corporate sustainability through financial transparency

This paper aims to investigate the effect of digital zakat and accounting on corporate sustainability, in addition to examining the moderating effect of financial transparency. A quantitative survey was employed to collect data from 298 Malaysian specialists using questionnaires on a 289-5th point Likert scale. The study utilized Smart-PLS 4.0 and SEM-PLS for the analysis of the data. The analysis revealed that digital accounting adoption was found to significantly and positively influence corporate sustainability. Integration of digital Zakat was also shown to have a substantial positive impact on corporate sustainability, aligning philanthropy with sustainability goals and enhancing overall corporate sustainability outcomes. Moreover, financial transparency was confirmed to play a crucial moderating role in strengthening the relationships between digital practices and corporate sustainability. Financial transparency positively influences corporate sustainability efforts by providing stakeholders with clear insights into a company's financial commitment to sustainability initiatives. This paper offers practical insights into the interconnected dynamics of digital accounting adoption, financial transparency, corporate sustainability, and digital Zakat integration. The findings of this study offer valuable practical implications for both scholars and practitioners in the fields of digital accounting and corporate sustainability, enhanced corporate sustainability through digital accounting adoption, and integrating digital zakat for sustainable philanthropy. By heeding these implications, both scholars and practitioners can work towards more responsible and sustainable business practices, fostering a positive impact on society and the environment while also building trust and confidence among stakeholders.
Immunological Aspects of Polymer Microsphere Vaccine Delivery Systems

In vitro studies using dendritic cells have identified that microencapsulated antigens are taken up and processed differently as compared with soluble proteins, and these findings have been reviewed. Similarly, in vivo, it is evident that microencapsulated materials have different properties in terms of uptake and trafficking. Intranasal (IN) instillation of encapsulated protective antigen resulted in a significant increase in the percentage of activated CD4+ and B-cells in the spleens of immunised mice, whereas IN instillation of soluble antigen failed to do so. This corroborates earlier findings concerning the uptake and trafficking of microparticles following bronchopulmonary administration. These data support the tenet that microencapsulation serves to modify the uptake, trafficking and processing of antigens.
Formal multiple-bernoulli models for language modeling

Statistical language modeling allows formal methods to be applied to information retrieval. As a result, such methods are preferred over their heuristic tf.idf -based counterparts. In language modeling, a statistical model is estimated for each document in the corpus. Documents are then scored by the likelihood the query was generated by the document’s model. Typically, the underlying model is assumed to be of a specific parametric form. In the past, a number of different assumptions have been made about this distribution. In [1], documents were modeled by a multiple-Bernoulli distribution. However, the estimation and smoothing techniques used to estimate the model were non-standard and somewhat heuristic. The predominant modeling assumption used today, as described in [2], is to model documents by a multinomial distribution. Such models may be smoothed in a number of ways [4]. Among these is Bayesian (Dirichlet) smoothing that takes a formal, Bayesian approach to smoothing by assuming a Dirichlet prior over the document model. Unlike Ponte and Croft’s multiple-Bernoulli estimation techniques, the multinomial assumption combined with Bayesian smoothing results in a completely formal statistical model. In this paper, we revisit the multiple-Bernoulli assumption and formalize it by taking a Bayesian approach to estimating smoothed document models.
Testing Models of Consumer Search using Data on Web Browsing and Purchasing Behavior

Using a large data set on web browsing and purchasing behavior we test to what extent consumers are searching in accordance to various classical search models. We nd that the benchmark model of sequential search with a known distributions of prices can be rejected based on the recall patterns we observe in the data. Moreover, we show that even if consumers are initially unaware of the price distribution and have to learn the price distribution, observed search behavior for given consumers over time is more consistent with non-sequential search than sequential search with learning. Our
Text Induced Spelling Correction

We present TISC, a language-independent and context-sensitive spelling checking and correction system designed to facilitate the automatic removal of non-word spelling errors in large corpora. Its lexicon is derived from a very large corpus of raw text, without supervision, and contains word unigrams and word bigrams. It is stored in a novel representation based on a purpose-built hashing function, which provides a fast and computationally tractable way of checking whether a particular word form likely constitutes a spelling error and of retrieving correction candidates. The system employs input context and lexicon evidence to automatically propose a limited number of ranked correction candidates when insufficient information for an unambiguous decision on a single correction is available. We describe the implemented prototype and evaluate it on English and Dutch text, containing real-world errors in more or less limited contexts. The results are compared with those of the isolated word spelling checking programs ISPELL and the MICROSOFT PROOFING TOOLS (MPT).
Labor Mobility: Implications for Asset Pricing

type="main"> Labor mobility is the flexibility of workers to walk away from an industry in response to better opportunities. I develop a model in which labor flows make bad times worse for shareholders who are left with capital that is less productive. The model shows that firms face greater operating leverage by providing flexibility to mobile workers. I construct an empirical measure of labor mobility consistent with the model and document an economically significant cross-sectional relation between mobility, operating leverage, and stock returns. I find that firms in mobile industries earn returns over 5% higher than those in less mobile industries.
A Catalog of Luminous Infrared Galaxies in the IRAS Survey and Second Data Release of SDSS

We selected a sample of luminous infrared galaxies by cross-identification of the Faint Source Catalogue (FSC) and Point Source Catalogue (PSC) of the IRAS Survey with the Second Data Release of the SDSS. The size of our sample is 1267 for FSC and 427 for PSC by using the 2σ significance level cross-section. The ``likelihood ratio" method is used to estimate the individual's reliability and for defining two more reliable subsamples (908 for FSC and 356 for PSC). A catalog of infrared, optical and radio data is compiled and will be used in further work. Some statistical results show that luminous infrared galaxies are quite different from ultra-luminous infrared galaxies. The AGN fractions of galaxies at different infrared luminosities and the radio–infrared correlations are consistent with the previous studies.
Motilin, Vasoactive Intestinal Peptide and Gastrin in Infantile Colic

ABSTRACT. Intestinal hyperperistalsis is one part of the clinical picture in infantile colic. Three gut hormones involved in the regulation of gut motility; motilin, vasoactive intestinal peptide (VIP) and gastrin, were measured with the RIA method in: 40 infants with infantile colic, (age 2–22 weeks), 42 healthy age‐matched infants, 11 children (age 3–36 months) with gastrointestinal disorders, and 20 children (age 3–36 months) with non‐gastrointestinal disorder. Basal s‐motilin levels were raised in infants with infantile colic (p<0.01) and in children with other gastrointestinal disorders (p<0.001). Formula‐fed infants had higher basal s‐motilin levels than the breast‐fed infants (p<0.05). P‐VIP and s‐gastrin levels were raised in children with other gastrointestinal disorders (p<0.05), but not in infantile colic. Formula‐fed colicky infants had higher s‐gastrin levels than the breast‐fed colicky infants (p<0.05). We suggest that the increased s‐motilin level in infantile colic might account in part for the clinical picture of this disorder.
Calculable Corrections to Brane Black Hole Decay II: Greybody Factors for Spin 1/2 and 1

The production of black holes in extra-dimensional brane-world theories can lead to detectable signals via the Hawking evaporation of the black hole to brane-localized standard model modes. We calculate, as a function of partial wave number and number of toroidally compactified extra dimensions, the leading correction to the energy spectrum of such Hawking radiation (the greybody factors) for decay into spin-1/2 fermions and spin-1 gauge fields localized on the standard model brane. We derive the associated improved differential emission rates for both types of fields. We provide both simple expressions for the leading behavior of the greybody factors in the low-energy limit ωrH≪1 and numerical evaluation of our full analytic expressions for the emission rates, valid for ωrH∼1. The full analytic expressions demonstrate that both the greybody factors and emission rates are enhanced as the number of extra dimensions increases.
Current Account Adjustment: Some New Theory and Evidence

This paper aims to provide a theory of current account adjustment that generalizes the textbook version of the intertemporal approach to current account and places domestic labor market institutions at the center stage. In general, in response to a shock, an economy adjusts through a combination of a change in the composition of goods trade (i.e., intra-temporal trade channel) and a change in the current account (i.e., intertemporal trade channel). The more rigid the labor market, the slower the speed of adjustment of the current account towards its long-run equilibrium. Three pieces of evidence are provided that are consistent with the theory.
Negation scope and spelling variation for text-mining of Danish electronic patient records

Electronic patient records are a potentially rich data source for knowledge extraction in biomedical research. Here we present a method based on the ICD10 system for text-mining of Danish health records. We have evaluated how adding functionalities to a baseline text-mining tool affected the overall performance. The purpose of the tool was to create enriched phenotypic profiles for each patient in a corpus consisting of records from 5,543 patients at a Danish psychiatric hospital, by assigning each patient additional ICD10 codes based on freetext parts of these records. The tool was benchmarked by manually curating a test set consisting of all records from 50 patients. The tool evaluated was designed to handle spelling and ending variations, shuffling of tokens within a term, and introduction of gaps in terms. In particular we investigated the importance of negation identification and negation scope. The most important functionality of the tool was handling of spelling variation, which greatly increased the number of phenotypes that could be identified in the records, without noticeably decreasing the precision. Further, our results show that different negations have different optimal scopes, some spanning only a few words, while others span up to whole sentences.
Logarithmic minimal models

Working in the dense loop representation, we use the planar Temperley–Lieb algebra to build integrable lattice models called logarithmic minimal models . Specifically, we construct Yang–Baxter integrable Temperley–Lieb models on the strip acting on link states and consider their associated Hamiltonian limits. These models and their associated representations of the Temperley–Lieb algebra are inherently non-local and not (time-reversal) symmetric. We argue that, in the continuum scaling limit, they yield logarithmic conformal field theories with central charges c = 1−(6(p−p′)2/pp′), where p, p′ = 1, 2, . are coprime. The first few members of the principal series are critical dense polymers (m = 1, c = −2), critical percolation (m = 2, c = 0) and the logarithmic Ising model (m = 3, c = 1/2). For the principal series, we find an infinite family of integrable and conformal boundary conditions organized in an extended Kac table with conformal weights Δr,s = (((m+1)r−ms)2−1)/4m(m+1), r, s = 1, 2, . The associated conformal partition functions are given in terms of Virasoro characters of highest-weight representations. Individually, these characters decompose into a finite number of characters of irreducible representations. We show with examples how indecomposable representations arise from fusion.
The minimum achievable stability radius of switched linear systems with feedback

We present a scheme for estimating the minimum achievable decay rate of a switched linear system via path-dependent feedback control, when the switching signal belongs to a language generated by a strongly connected graph. This growth rate is characterized by the constrained joint spectral radius (CJSR) of the system, a generalization of the joint spectral radius to account for the switching constraint. Our key tool in analyizing the CJSR is the multinorm, a collection of mode-indexed norms which demonstrate contractiveness along admissible modal trajectories. We may approximate the CJSR to any desired accuracy by computing quadratic multinorms as solutions to a system of LMIs, using an estimation scheme presented in [15]. These LMIs are of similar form to those which characterize the stability of the switched system in [6]. The feasiblity of any one of these LMIs allows the construction of a suitable controller; we use the infeasibility of such an LMI to provide a lower bound on the closed-loop decay rate achieved by any path-dependent controller.