Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint Rate Control and Routing for Energy-Constrained Wireless Sensor Networks with the Real-Time Requirement

In the following paper, we study the tradeoff between network lifetime and network utility for energy-constrained wireless sensor networks (WSNs) with the real-time requirement. By introducing a parameter r, we combine these two objectives into a single weighted objective, and consider rate control and routing in this tradeoff framework simultaneously. For real-time requirement, we set up real-time constraints by forcing the end-to-end delay of each route to be bounded by the maximum tolerated delay and incorporate real-time constraints into the tradeoff framework. Consequently, the tradeoff model is formulated nonlinear programming. By using the dual decomposition method and gradient/subgradient algorithms, we propose a distributed algorithm to solve nonlinear programming. Rigorous analysis and simulation are presented in order to validate our algorithm.
Ingestion of androgenic-anabolic steroids induces mild thyroidal impairment in male body builders.

Self-administration of very high doses of androgenic anabolic steroids is common use in power athletes because of their favorable effect on performance. Since androgenic steroids decrease serum T4-binding globulin (TBG) concentrations dramatically, we were interested in the effects of this procedure on thyroid function: we performed TRH tests (200 micrograms Relefact, i.v.), with blood withdrawal before and for 180 min after injection, for determination, using RIA kits, of serum concentrations of total and free T4, total T3, TSH, and TBG in 13 young (20-29 yr old) male body builders with clinically normal thyroid glands, who were all in the same state of training. Five of these athletes admitted taking androgenic anabolic steroids at an average total dose of 1.2 g/week for at least 6 weeks before the tests. TBG, total T4, and total T3 were significantly (P < 0.001) decreased, whereas basal TSH and free T4 were not significantly different from the values of the other 8 without androgenic steroids. The maximum TSH increase after TRH administration (mean +/- SE, 16 -/+ 6 vs. 9 -/+ 4 mU/L; P < 0.05) was relatively increased, whereas the T3 response to TRH (0.61 -/+ 0.10 vs. 1.13 -/+ 0.13 nmol/L; P < 0.05) was relatively decreased in the group receiving androgens. The 5 patients taking androgens had significantly greater weight (114 vs. 90 kg; P < 0.01) and higher total cholesterol levels (6.3 -/+ 1.3 vs. 3.8 -/+ 0.3 mmol/L; P < 0.05) together with very low high density lipoprotein cholesterol levels (0.20 -/+ 0.03 vs. 1.03 -/+ 0.10; P < 0.001) than the controls. PRL levels were normal and similar in both groups. We conclude from our results that high dose androgenic anabolic steroid administration leads to a relative impairment (within the normal range) of thyroid function. Whether this is due to a direct thyroid hormone release (or synthesis? )-blocking effect of these steroids needs further investigation.
Morphologic analysis correlates with gene expression changes in cultured F344 rat mesothelial cells.

The gene expression pattern of mesothelial cells in vitro was determined after 4 or 12 h exposure to the rat mesothelial, kidney, and thyroid carcinogen and oxidative stressor potassium bromate (KBrO(3)). Gene expression changes observed using cDNA arrays indicated oxidative stress, mitotic arrest, and apoptosis in treated immortalized rat peritoneal mesothelial cells. Increases occurred in oxidative stress responsive genes HO-1, QR, HSP70, GADD45, GADD153, p21(WAF1/CIP16), GST's, GAPDH, TPX, and GPX-1(0); transcriptional regulators c-jun, c-fos, jun B, c-myc, and IkappaB; protein repair components Rdelta, RC10-II, C3, RC-7, HR6B ubiquitin-conjugating enzyme and ubiquitin; DNA repair components PCNA, msh2, and O-6 methylguanine DNA methyltransferase; lipid peroxide excision enzyme PLA2; and apoptogenic components TNFalpha, iNOS1 and FasL. Decreases occurred in bcl-2 (antiapoptotic), bax alpha, bad, and bok (proapoptotic) and cell cycle control elements (cyclins). Cyclin G and p14ink4b (which inhibit entry into cell cycle) were increased. Numerous signal transduction, cell membrane transport, membrane-associated receptor, and fatty acid biosynthesis and repair components were altered. Morphologic endpoints examined were number of mitotic figures, number of apoptotic cells, and antibody-specific localization of HO-1 (which demonstrated increased HO-1 protein expression). PCR analysis confirmed HO-1, p21(waf1/cip1), HSP70, GPX1, GADD45, QR, mdr1, PGHS, and cyclin D1 changes. A model for KBrO(3)-induced carcinogenicity in the F344 rat mesothelium is proposed, whereby KBrO(3) generates a redox signal that activates p53 and results in transcriptional activation of oxidative stress and repair genes, dysregulation of growth control, and imperfect DNA repair leading to carcinogenesis.
Sleep Paralysis: phenomenology, neurophysiology and treatment

Sleep paralysis is an experience of being temporarily unable to move or talk during the transitional periods between sleep and wakefulness: at sleep onset or upon awakening. Feeling of paralysis may be accompanied by a variety of vivid and intense sensory experiences, including mentation in visual, auditory, and tactile modalities, as well as a distinct feeling of presence. This chapter discusses a variety of sleep paralysis experiences from the perspective of enactive cognition and cultural neurophenomenology. Current knowledge of neurophysiology and associated conditions is presented, and some techniques for coping with sleep paralysis are proposed. As an experience characterized by a hybrid state of dreaming and waking, sleep paralysis offers a unique window into phenomenology of spontaneous thought in sleep.
Hydrogeochemical exploration for volcanic-hosted massive sulfide deposits in semi-arid Australia

ABSTRACT Research on hydrogeochemistry for mineral exploration for inland Australia includes development of weathering models and extensive mine-scale and regional groundwater data. Mineral saturation indices for groundwater, activity–activity plots and reaction modelling simulate weathering of volcanic-hosted massive sulfide (VHMS) deposits in deeply weathered environments. At 10 m or more below surface, dissolved O2 is very low and other solutes such as sulfate, carbonate and nitrate are more likely oxidants. Modelling indicates that these processes differ from oxic weathering of highly eroded terrains, and provide the framework to develop robust hydrogeochemical exploration procedures in covered terrains. Sulfide weathering potentially occurs in two or more phases that effect surrounding groundwaters in differing manners. Deeper oxidative alteration of sulfides (e.g. bornite to chalcopyrite), occurring tens to hundreds of metres below surface, uses sulfate and carbonate as oxidants, causing neutral to alkaline conditions. In this zone, only pyritic massive sulfides potentially generate acidic conditions. Thus, deep sulfide-rich rocks are indicated by sulfate-depleted groundwater. Closer to the surface, sulfides are oxidised to soluble sulfates by dissolved nitrate, with much less acid production than if dissolved oxygen was the main oxidant. Thus, in shallow groundwater, sulfides are indicated by sulfate enrichment and nitrate depletion. Elements are released from sulfides and wall rocks by acid or alkaline conditions. The derived FeS (pH–Eh + Fe + Mn) and AcidS (Li + Mo + Ba + Al) indices distinguish sulfide systems through tens of metres of cover. VHMS systems are distinguished from other non-economic sulfide deposits where there is little transported cover, using various dissolved elements, including Zn, Pb and Cu. Elsewhere, ‘patchiness’ and limited aerial extent of metal signals are due to adsorption effects, that intensify with depth. Other elements such as Mn and Co have lesser diminution effects, but are less selective indicators for VHMS. There is exploration potential for elements such as Pt or Ag. These varying sulfide indicators have moderate utility, even for large-scale (∼5 km spacing) sampling. Results indicate that hydrogeochemistry can add value to greenfields exploration for VHMS ore deposits in deeply weathered terrains. It is also moderately successful at indicating the presence of sulfide-rich systems (whether magmatic or hydrothermal) under >100 m cover, thus providing a rapid and cost-effective regional prospectivity tool for deeply buried terrains. Such mineral exploration tools will encourage exploration investment for more difficult regions of Australia and in other deeply weathered regions of the world.
Numerical modelling of velocity profile parameters of the atmospheric boundary layer simulated in wind tunnels

Experimental and numerical modeling and simulations of the wind influence within the atmospheric boundary layer are essential tools in optimum building structural design. Each of these methods, however, has both advantages and disadvantages. In experimental investigations performed in wind tunnels, reliable results can be obtained, but detailed information of the wind profile parameters, such as the surface roughness length z 0 or the friction velocity u*, are difficult to determine. Numerical simulations, on other hand, easily yield any information of the wind velocity profile. However, the reliability of numerical results strongly depends on the established and adopted computational model. This paper presents the computational fluid dynamics (CFD) analysis of the atmospheric boundary layer simulated in subsonic wind tunnels using appropriate types of obstacles, based on the SST k-ω turbulence model with optimized unstructured mesh and optimum selection of relevant physical model parameters, performed in Ansys Fluent software. Results have been compared with the measurements from the Assiut University wind tunnel with maximum velocity of 4 m/s, and from subsonic wind tunnel at Belgrade University, with maximum air velocity of 45 m/s. Detailed comparisons for velocity distributions with these experimental results have shown very good conformity. Also, the three-parameter fitting methods were successfully established to define surface roughness length z 0 and the friction velocity u*. Obtained results have shown that the established numerical model is able to substitute a remarkable number of expensive wind tunnel tests hours within the operational investigations of wind influence on the building structures.
Derivation of Document Vectors from Adaptation of LSTM Language Model

In many natural language processing (NLP) tasks, a document is commonly modeled as a bag of words using the term frequency-inverse document frequency (TF-IDF) vector. One major shortcoming of the frequency-based TF-IDF feature vector is that it ignores word orders that carry syntactic and semantic relationships among the words in a document. This paper proposes a novel distributed vector representation of a document, which will be labeled as DV-LSTM, and is derived from the result of adapting a long short-term memory recurrent neural network language model by the document. DV-LSTM is expected to capture some high-level sequential information in the document, which other current document representations fail to do. It was evaluated in document genre classification in the Brown Corpus and the BNC Baby Corpus. The results show that DV-LSTM significantly outperforms TF-IDF vector and paragraph vector (PV-DM) in most cases, and their combinations may further improve the classification performance.
A survey of high school students with ubiquitous access to tablet PCs

This paper presents findings of a study of high school students participating in a tablet PC (TPC) programme. Primary areas of interest were students' experiences with and attitudes about the TPCs, physical discomfort associated with use of TPCs and temporal and task-driven patterns of TPC use. Data were collected via questionnaire and computer use-monitoring software. Results showed students' attitudes were generally quite positive towards the TPCs, although they did not tend to think TPCs had improved their grades, few disagreed that TPCs were a distraction in class, and visual and musculoskeletal discomfort was prevalent. Understanding how to use the TPC and recognizing its organizational capacity were associated with several positive attitudes towards the TPC, including making school more enjoyable. Children's exposure to computers will only increase, so study of the many dimensions of their impact is critical in order to understand what is effective, constructive and healthful for children.
Runs based traffic estimator (RATE): a simple, memory efficient scheme for per-flow rate estimation

Per-flow network traffic measurements are needed for effective network traffic management, network performance assessment, and detection of anomalous network events such as incipient DoS attacks. Explicit measurement of per-flow traffic statistics is difficult in backbone networks because tracking the possibly hundreds of thousands of flows needs correspondingly large high-speed memories. To reduce the measurement overhead, many previous papers have proposed the use of random sampling and this is also used in commercial routers (Cisco's Net Flow). Our goal is to develop a new scheme that has very low memory requirements and has quick convergence to within a prespecified accuracy. We achieve this by use of a novel approach based on sampling two-runs to estimate per-flow traffic. (A flow has a two-run when two consecutive samples belong to the same flow). Sampling two-runs automatically biases the samples towards the larger flows thereby making the estimation of these sources more accurate. This biased sampling leads to significantly smaller memory requirement compared to random sampling schemes. The scheme is very simple to implement and performs extremely well
Adverse drug reactions in hospital in‐patients: a pilot study

Background: About 6·5% of admissions to hospital are related to an adverse drug reaction (ADR). There are no recent large studies, which explore the burden of ADRs on hospital in‐patients. The aim of this pilot study was to assess the feasibility of, and establish the methodology for, conducting a large prospective study to fully assess the impact of ADRs on in‐patients and the National Health Service (NHS).
A Bayesian approach for unplanned sample sizes in phase II cancer clinical trials

Background Phase II cancer clinical trials commonly employ two-stage designs that incorporate a single interim analysis for lack of efficacy and are designed to achieve specified frequentist properties. The requirement to examine the outcome at a prespecified sample size (SS) can be problematic, because the attained SS often differs from the planned SS. Purpose We propose to address unplanned SSs achieved at either stage by means of a Bayesian approach that approximately preserves the original design’s properties. Methods Our approach translates the rejection rule of the original frequentist design into equivalent statements about the posterior distribution of the response rate and applies this Bayesian criterion to the analysis with any realized SS. Results The results demonstrate that our approach approximately maintains operating characteristics of the original frequentist design including type I and type II error rates, probability of early termination, and expected SS under the null hypothesis. Limitations Designs attained under this approach may not satisfy target limits for type I error rate and power. Conclusions Our method offers a coherent analysis plan when the attained SS at either stage deviates from that specified in the original design. The price of its flexibility, in terms of erosion of the desired frequentist properties, is modest.
Comparative metabolic ecology of tropical herbivorous echinoids on a coral reef

Background The metabolic rate of consumers is a key driver of ecosystem dynamics. On coral reefs, herbivorous echinoids consume fleshy algae, facilitating the growth of reef-building calcified organisms; however, little is known about differences among species in their metabolic and functional ecology. Here, we used log-linear (log-log) regression models to examine the allometric scaling of mass and routine metabolic rate for five common herbivorous echinoids on a Hawaiian coral reef: Echinothrix calamaris, E. diadema, Echinometra matthaei, Heterocentrotus mammillatus, and Tripneustes gratilla. Scaling relationships were then contrasted with empirical observations of echinoid ecology and general metabolic theory to broaden our understanding of diversity in the metabolic and functional ecology of tropical herbivorous echinoids. Results Test diameter and species explained 98% of the variation in mass, and mass and species explained 92.4% and 87.5% of the variation in individual (I) and mass-specific (B) metabolic rates, respectively. Scaling exponents did not differ for mass or metabolism; however, normalizing constants differed significantly among species. Mass varied as the cube of test diameter (b = 2.9), with HM exhibiting a significantly higher normalizing constant than other species, likely due to its heavily-calcified spines and skeleton. Individual metabolic rate varied approximately as the 2/5 power of mass (γ = 0.44); significantly smaller than the 3/4 universal scaling coefficient, but inclusive of 2/3 scaling. E. calamaris and H. mammillatus exhibited the lowest normalizing constants, corresponding with their slow-moving, cryptic, rock-boring life-history. In contrast, E. calamaris, E. diadema, and T. gratilla, exhibited higher metabolic rates, likely reflecting their higher levels of activity and ability to freely browse for preferred algae due to chemical anti-predator defenses. Thus, differences in metabolic scaling appeared to correspond with differences in phylogeny, behavior, and ecological function. Such comparative metabolic assessments are central to informing theory, ecological models, and the effective management of ecosystems.
Using semantic maps for room recognition to aid visually impaired people

Millions of people in the world suffer from vision impairment or even vision loss. Guide sticks and dogs have been deployed to lead them around various obstacles. However, both of them are not capable of interacting with human users who normally rely on conceptual knowledge or semantic contents of the environment. This paper first builds a 3D semantic indoor environment map with an RGB-D sensor. Then, the map is used for room recognition during the revisits based on appearance by applying a convolutional neural network. Representative objects extracted from the semantic map are used to diagnose and eliminate errors during room recognition. The proposed method result in a 97.8% accuracy even with lighting condition and small object location changes.
WordNet-based text document clustering

Text document clustering can greatly simplify browsing large collections of documents by reorganizing them into a smaller number of manageable clusters. Algorithms to solve this task exist; however, the algorithms are only as good as the data they work on. Problems include ambiguity and synonymy, the former allowing for erroneous groupings and the latter causing similarities between documents to go unnoticed. In this research, naive, syntax-based disambiguation is attempted by assigning each word a part-of-speech tag and by enriching the 'bag-of-words' data representation often used for document clustering with synonyms and hypernyms from WordNet.
Intrinsic and extrinsic pathway signaling during neuronal apoptosis

Trophic factor deprivation (TFD)-induced apoptosis in sympathetic neurons requires macromolecular synthesis–dependent BAX translocation, cytochrome c (cyt c) release, and caspase activation. Here, we report the contributions of other intrinsic and extrinsic pathway signals to these processes. Sympathetic neurons expressed all antiapoptotic BCL-2 proteins examined, yet expressed only certain BH3-only and multidomain proapoptotic BCL-2 family members. All coexpressed proapoptotic proteins did not, however, exhibit functional redundancy or compensatory expression, at least in the Bax −/−, Bak −/−, Bim −/−, Bid −/−, and Bad −/− neurons examined. Although the subcellular distribution or posttranslational modification of certain BCL-2 proteins changed with TFD, neither transcriptional nor posttranslational mechanisms regulated the expression or subcellular localization of BID, BAD, or BAK in this paradigm. Despite modest induction of Fas and FasL expression, Fas-mediated signaling did not contribute to TFD-induced apoptosis in sympathetic neurons. Similar findings were obtained with K+ withdrawal–induced apoptosis in cerebellar granule neurons, a model for activity-dependent neuronal survival in the CNS. Thus, expression alone does not guarantee functional redundancy (or compensation) among BCL-2 family members, and, at least in some cells, extrinsic pathway signaling and certain BH3-only proteins (i.e., BID and BAD) do not contribute to BAX-dependent cyt c release or apoptosis caused by TFD.
An Optical Model for Predicting the Quantum Efficiency of Solar Modules

The fact that a solar cell will be encapsulated in a solar module has a strong impact on how its optical properties should be characterized, designed, and optimized. In this paper, we present a ray-tracing model that is capable of calculating the optical properties of a solar cell with a random pyramidal texture both with and without encapsulation and for the light at any angle of incidence. We introduce a simple method wherein we combine ray tracing and external quantum efficiency (EQE) measurements of a solar cell to predict the EQE after encapsulation for any choice of encapsulation materials and antireflection coatings. We verify the quality of our EQE-prediction toward experimental data and find good agreement. We apply this approach and compare the influence of different encapsulation materials on the module performance and perform a full loss analysis at a few selected angles of incidence. Finally, we use the ray-tracing model to map generation current for all angles of incidence relevant for a pyramidal texture both with and without encapsulation.
Anticancer activity of Celastrol in combination with ErbB2-targeted therapeutics for treatment of ErbB2-overexpressing breast cancers

The receptor tyrosine kinase ErbB2 is overexpressed in up to a third of breast cancers, allowing targeted therapy with ErbB2-directed humanized antibodies such as Trastuzumab. Concurrent targeting of ErbB2 stability with HSP90 inhibitors is synergistic with Trastuzumab, suggesting that pharmacological agents that can inhibit HSP90 as well as signaling pathways activated by ErbB2 could be useful against ErbB2-overexpressing breast cancers. The triterpene natural product Celastrol inhibits HSP90 and several pathways relevant to ErbB2-dependent oncogenesis including the NFκB pathway and the proteasome, and has shown promising activity in other cancer models. Here, we demonstrate that Celastrol exhibits in vitro antitumor activity against a panel of human breast cancer cell lines with selectivity towards those overexpressing ErbB2. Celastrol strongly synergized with ErbB2-targeted therapeutics Trastuzumab and Lapatinib, producing higher cytotoxicity with substantially lower doses of Celastrol. Celastrol significantly retarded the rate of growth of ErbB2-overexpressing human breast cancer cells in a mouse xenograft model with only minor systemic toxicity. Mechanistically, Celastrol not only induced the expected ubiquitinylation and degradation of ErbB2 and other HSP90 client proteins, but it also increased the levels of reactive oxygen species (ROS). Our studies show that the Michael Acceptor functionality in Celastrol is important for its ability to destabilize ErbB2 and exert its bioactivity against ErbB2-overexpressing breast cancer cells. These studies suggest the potential use of Michael acceptor-containing molecules as novel therapeutic modalities against ErbB2-driven breast cancer by targeting multiple biological attributes of the driver oncogene.