Miracle-dz/UniFAR-FTUs huggingface dataset:
Humans Hyperglycemia and Angiotensin-Mediated Control of the Renal Circulation in Healthy

Type 1 and type 2 diabetics have an enhanced renal vasodilator response to angiotensin-converting enzyme (ACE) inhibition despite suppressed plasma renin activity (PRA), indicating possible activation of the intrarenal renin angiotensin system. To investigate the role of hyperglycemia, we evaluated the renal hemodynamic response to ACE inhibition in 9 healthy subjects in high-salt balance after steady-state hyperglycemia (8.4 61 mmol/L) was achieved via intravenous glucose administration. Renal plasma flow (RPF) and glomerular filtration rate (GFR) responses to captopril and to angiotensin II (Ang II) were measured as paraminohippuric acid and inulin clearances. Hyperglycemia produced a significant increase in RPF of 117 mL z min z 1.73 m after 90 minutes but not GFR. Administration of captopril at a dose of 25 mg during glucose infusion led to an increase in RPF of 173 624 mL z min z 1.73 m (P,0.01) but did not significantly change RPF in the absence of hyperglycemia (7 621 mL z min z 1.73 m). Captopril did not alter GFR in the presence or absence of hyperglycemia. Ang II infusion during hyperglycemia decreased RPF by 45 616 mL z min z 1.73 m, and this was significantly enhanced by captopril (298626 mL z min z 1.73 m, P,0.05). In contrast, there was no enhancement of the vasoconstrictor response to Ang II in the absence of hyperglycemia. PRA did not change with hyperglycemia. Enhancement of renal vasodilation during hyperglycemia by captopril without alteration of PRA suggests activation of the intrarenal renin angiotensin system. (Hypertension. 1999;33[part II]:559-564.)
KINETIC AND EQUILIBRIUM STUDIES OF LEAD AND CADMIUM BIOSORPTION FROM AQUEOUS SOLUTIONS BY SARGASSUM SPP. BIOMASS

of the aqueous environment by heavy metals is a worldwide environmental problem. Biosorption of lead (II) and cadmium (II) from aqueous solutions by brown algae Sargassum spp. biomass was studied in a batch system. The heavy metals uptake was found to be rapid and reached to 88-96% of equilibrium capacity of biosorption in 15min. The pseudo second-order and saturation rate equations were found in the best fitness with the kinetic data (R 2 > 0.99). The data obtained from experiments of single-component biosorption isotherm were analyzed using the Freundlich, Langmuir, Freundlich-Langmuir and Redlich-Peterson isotherm models. The Redlich-Peterson equation described the biosorption isotherm of Pb 2+ and Cd 2+ with high correlation coefficient (R 2 > 0.99) and better than the other equations. The effect of Na + , K + , M g 2+ and Ca 2+ on the biosorption of Pb 2+ was not significant, but the metal ions affected the biosorption of Cd 2+ considerably. According to the Langmuir model, the maximum uptake capacities (q m) of Sargassum spp. for Pb 2+ and Cd 2+ were obtained as 1.70 and 1.02mmol/g, respectively. Although the Sargassum spp. used in this study can be classified as an efficient biosorbent.
Towards a secure social sensor network

Sensor Networks (SN) have been developed for several domains which makes each person or organization has heterogeneous sensors. When considering that the data generated by sensor nodes should be permanently stored and permanently accessible from all over the world by scientists or doctors who need to be notified when some events are triggered, the data sharing, publication and notification become a crucial challenge. This paper present a convergence of social networks, cloud computing and sensor networks to resolve the aforementioned requirements while ensuring privacy and security of users.
An Imputation-Consistency Algorithm for High-Dimensional Missing Data Problems and Beyond

Missing data are frequently encountered in high-dimensional problems, but they are usually difficult to deal with using standard algorithms, such as the expectation-maximization (EM) algorithm and its variants. To tackle this difficulty, some problem-specific algorithms have been developed in the literature, but there still lacks a general algorithm. This work is to fill the gap: we propose a general algorithm for high-dimensional missing data problems. The proposed algorithm works by iterating between an imputation step and a consistency step. At the imputation step, the missing data are imputed conditional on the observed data and the current estimate of parameters; and at the consistency step, a consistent estimate is found for the minimizer of a Kullback-Leibler divergence defined on the pseudo-complete data. For high dimensional problems, the consistent estimate can be found under sparsity constraints. The consistency of the averaged estimate for the true parameter can be established under quite general conditions. The proposed algorithm is illustrated using high-dimensional Gaussian graphical models, high-dimensional variable selection, and a random coefficient model.
Optimizing highly constrained truck loadings using a self-adaptive genetic algorithm

Most research into the Container Loading problem has been done on theoretical problem sets and while taking one or two constraints into account. In this paper we discuss the successful implementation of a self-adaptive Genetic Algorithm applying only mutation, with a variable mutation rate. This is applied to a real-world problem with actual problem instances from industry. We introduce an abstract, indirect representation for the considered loadings together with two mutation strategies. Solutions of these different strategies are compared with each other, a static mutation rate GA, and with solutions created by human planners as used in industry, for a set of over 500 realworld problem instances. Furthermore, we examine how our automated results compare to those generated by experienced human planners, showing that they are valid loadings and match fitness values.
Adaptive fusion in air: A cooperative sensing scheme based on distributed beamforming

Cooperative spectrum sensing has been exploited to improve the detection reliability in cognitive radio networks. Likelihood ratio test (LRT) is optimal for distributed detection in cooperative sensing. However, it is not applicable in practice due to the lack of the local signal-to-noise ratio (SNR) and the fading effect of the control channels between the secondary users and fusion center. In this paper, an adaptive fusion in air (FAIR) cooperative spectrum sensing scheme based on distributed beamforming is proposed to solve this problem. First, a sequential estimation method by exploiting the global decision feedback is adopted at cognitive users to estimate the local SNR. Then a distributed beamforming scheme is introduced among cognitive users to transmit the local LRTs to maximize the received signal at fusion center. The transmission of the weighted sensing data is conducted in an analog way at the same time slot so that data fusion can be automatically carried out in air. Simulation results show that the performance of our proposed practical method is close to the theoretically optimal cooperative spectrum sensing. Meanwhile, higher spectrum efficiency is achieved due to data fusion in air.
Notice of RetractionShould the Staffs of the SOEs Be Well Informed of the Real Situation?: A Case Study of a Tobacco Corporation in China

Since the entry of WTO, SOEs in China are facing more and more competitions from the market. For many researchers considered SOEs to be low in efficiency, reforms have been carried out in the SOEs, though there still are barriers. Some case studies in different countries showed that the power of culture seemed to be minimized when the corporation's real situation was known by most of the staffs. This article investigated eight subsidiaries, used to be independent corporations, of a tobacco corporation. By deep interview of different levels of staffs in each subsidiary, the authors found that the more people were informed of the real situation of the subsidiary, the better the rules were executed, the better the performance of the business would be, and in turn the better its developments.
The Mammalian Gene of Acetylcholinesterase-associated Collagen*

The collagen-tailed or asymmetric forms (A) represent a major component of acetylcholinesterase (AChE) in the neuromuscular junction of higher vertebrates. They are hetero-oligomeric molecules, in which tetramers of catalytic subunits of type T (AChET) are attached to the subunits of a triple-stranded collagen “tail. ” We report the cloning of a rat AChE-associated collagen subunit, Q. We show that collagen tails are encoded by a single gene, COLQ. The ColQ subunits form homotrimers and readily form collagen-tailed AChE, when coexpressed with rat AChET. We found that the same ColQ subunits are incorporated, in vivo, in asymmetric forms of both AChE and butyrylcholinesterase. A splice variant from the COLQ gene encodes a proline- rich AChE attachment domain without the collagen domain but does not represent the membrane anchor of the brain tetramer. The COLQ gene is expressed in cholinergic tissues, brain, muscle, and heart, and also in noncholinergic tissues such as lung and testis.
Clinician Recommendation of 12-Step Meeting Attendance and Discussion regarding Disclosure of Buprenorphine Use among Patients in Office-Based Opioid Treatment

Background Clinicians are encouraged to include 12-step meetings, such as Alcoholics or Narcotics Anonymous (AA/NA), as ancillary services for the treatment for opioid use disorders (OUDs), even though some of these groups may not fully accept individuals receiving buprenorphine. Little is known about whether clinicians actually discuss with patients the issue of disclosure of buprenorphine use at 12-step meetings. Methods An anonymous survey was offered to patients enrolled in office-based opioid treatment with buprenorphine to assess whether their clinicians recommended attendance at 12-step meetings and discussed the issue of disclosing their use of buprenorphine to other members. The patients’ attendance at 12-step meetings was also assessed, as well as beliefs and prior experiences related to disclosure of buprenorphine use at 12-step meetings. Results Thirty patients completed the survey. Twenty-one respondents (75.0%) indicated that they were encouraged to attend meetings, but only 9 (33.3%) reported having any discussion with their clinicians about the issue of disclosing their use of buprenorphine at meetings. The majority (76.7%) reported attending 12-step meetings at least occasionally, and 70% reported finding the meetings helpful. Nearly one third (30%) expressed concerns that other 12-step members would not accept them if their buprenorphine status were known, and a similar proportion (37%) frequently avoided disclosing their use of buprenorphine. Conclusions Clinicians recommended 12-step meetings to most patients but did not routinely discuss issues of disclosure. Despite utilizing 12-step meetings and reporting them to be helpful, many avoided disclosing their use of buprenorphine to others. More research is needed to better understand how clinicians may assist patients to best utilize 12-step meetings.
Development of a histone deacetylase 6 inhibitor and its biological effects

Significance We discovered a hydroxamic acid-based small-molecule N-hydroxy-4-(2-[(2-hydroxyethyl)(phenyl)amino]-2-oxoethyl)benzamide selectively inhibits histone deacetylase 6 catalytic activity in vivo and in vitro. Development of isoform-selective histone deacetylase (HDAC) inhibitors is important in elucidating the function of individual HDAC enzymes and their potential as therapeutic agents. Among the eleven zinc-dependent HDACs in humans, HDAC6 is structurally and functionally unique. Here, we show that a hydroxamic acid-based small-molecule N-hydroxy-4-(2-[(2-hydroxyethyl)(phenyl)amino]-2-oxoethyl)benzamide (HPOB) selectively inhibits HDAC6 catalytic activity in vivo and in vitro. HPOB causes growth inhibition of normal and transformed cells but does not induce cell death. HPOB enhances the effectiveness of DNA-damaging anticancer drugs in transformed cells but not normal cells. HPOB does not block the ubiquitin-binding activity of HDAC6. The HDAC6-selective inhibitor HPOB has therapeutic potential in combination therapy to enhance the potency of anticancer drugs.
Incidence and Complications of Open Hip Preservation Surgery: An ABOS Database Review.

Hip preservation surgery encompasses various surgical procedures that have the goal of decreasing the progression of osteoarthritis, preserving normal hip function, and delaying the need for arthroplasty. These procedures can encompass arthroscopic, open, and combined techniques. This study investigated the trends and complications associated with open hip preservation surgery performed by candidates undergoing Part II of the American Board of Orthopaedic Surgery examination. The American Board of Orthopaedic Surgery Part II surgeon case database was queried from the years 2003 to 2013 for Current Procedural Terminology (CPT) codes related to open hip preservation surgery in patients 10 years and older. Patient demographics, fellowship training, geographic location, and complications were extracted from the database. These data were analyzed to determine the incidence by year of individual procedures and complications. During the study period, 644 cases (352 male, 292 female; mean age, 29.7 years) and 730 CPT codes were reported. The most commonly reported fellowship was pediatric orthopedics. No trend was observed in the overall incidence of these surgeries, but there was an increase in the number of cases performed in the Midwest. There were 212 reported complications, with a rate of 33% per case, or 29% per CPT code (range, 12.5%-100% per CPT code). Complications reported ranged from infection to death. The incidence of complications over time showed no discernible trend. Based on the results of this study, the yearly incidence and complications associated with open hip preservation surgery performed by surgeons undergoing board certification should continue at a predictable rate. [Orthopedics. 2017; 40(1):e109-e116. ].
Near-Infrared Spectroscopy Cerebral Oxygen Saturation Thresholds for Hypoxia–Ischemia in Piglets

Detection of cerebral hypoxia–ischemia remains problematic in neonates. Near-infrared spectroscopy, a noninvasive bedside technology has potential, although thresholds for cerebral hypoxia–ischemia have not been defined. This study determined hypoxic–ischemic thresholds for cerebral oxygen saturation (Sco2) in terms of EEG, brain ATP, and lactate concentrations, and compared these values with CBF and sagittal sinus oxygen saturation (Svo2). Sixty anesthetized piglets were equipped with near-infrared spectroscopy, EEG, laser-Doppler flowmetry, and a sagittal sinus catheter. After baseline, Sco2 levels of less than 20%, 20% to 29%, 30% to 39%, 40% to 49%, 50% to 59%, 60% to 79%, or 80% or greater were recorded for 30 minutes of normoxic normocapnia, hypercapnic hyperoxia, or bilateral carotid occlusion with or without arterial hypoxia. Brain ATP and lactate concentrations were measured biochemically. Logistic and linear regression determined the Sco2, CBF, and Svo2 thresholds for abnormal EEG, ATP, and lactate findings. Baseline Sco2 was 68 + 5%. The Sco2 thresholds for increased lactate, minor and major EEG change, and decreased ATP were 44 ± 1%, 42 ± 5%, 37 ± 1%, and 33 ± 1%. The Sco2 correlated linearly with Svo2 (r = 0.98) and CBF (r = 0.89), with corresponding Svo2 thresholds of 23%, 20%, 13%, and 8%, and CBF thresholds (% baseline) of 56%, 52%, 42%, and 36%. Thus, cerebral hypoxia-ischemia near-infrared spectroscopy thresholds for functional impairment are Sco2 33% to 44%, a range that is well below baseline Sco2 of 68%, suggesting a buffer between normal and dysfunction that also exists for CBF and Svo2.
The big five personality and Counterproductive work behavior(CWB): The moderating role of Perceived Organizational Support

Little systematic research on the antecedents of counterproductive work behaviors(CWBs) has been focusing on both individual differences and environmental variables simultaneously. This survey study explored the effects of big five personality dimensions on CWBs. We also testified the moderating effects of Perceived Organizational Support (POS). Using data of 447 participants, hierarchical regression analyses revealed that conscientiousness had significant predictive power on both property CWB and production CWB. Among the five personality factors, conscientiousness and neuroticism had significant predictive power on general CWB. Emotional social support were found to moderate the relationship between conscientiousness and production CWB, and also between neuroticism and general CWB. General POS were found to moderate the relationship between neuroticism and interpersonal CWB. The implications of these findings are discussed.
Towards a dynamic description of major depression epidemiology

Summary Aims – The substantial impact of major depression on population health is widely acknowledged. To date, health system responses to this condition have been largely shaped by observational findings. In the future, health policy decisions will benefit from an increasingly integrated and dynamic understanding of the epidemiology of this condition. Policy decisions can also be supported by the development of decision-support tools that can simulate the impact of alternative policy decisions on population health. Markov models are useful both in epidemiological modelling and in decision analysis. Methods – In this project, a Markov model describing major depression epidemiology was developed. The model employed a Markov Tunnel in order to depict the dependence of recovery probabilities on episode duration. Transition probabilities, including incidence, recovery and mortality were estimated from Canadian national survey data. Results – Episode incidence was approximately 3% per year. Recovery rates declined exponentially over time. The model predicted point prevalence at slightly less than 1%, agreeing closely with observed prevalence data. Conclusions – Epidemiological models describing the dynamic relationships between major depression incidence, prevalence, recovery and mortality can help to integrate available epidemiological data. Such models offer an attractive option for support of health policy decisions. Declaration of Interest Acknowledgement: Both authors are Research Fellows with the Institute of Health Economics (www.ihe.ab.ca). This study was supported by an operating grant from the Canadian Institutes of Health Research (www.cihr.ca).
Novel dual-control poly(N-isopropylacrylamide-co-chlorophyllin) nanogels for improving drug release.

AIM How to overcome insufficient drug release is an important issue in the drug-delivery system. MATERIALS & METHODS Here, a novel temperature and UV dual-control poly(N-isopropylacrylamide [PNIPAM]-co-chlorophyllin) nanogel was prepared via the surfactant-free emulsion polymerization. RESULTS The introduction of hydrophilic chlorophyllin to the PNIPAM chain backbone led to a narrow size of poly[NIPAM-co-CHLN nanogel (D ∼180 nm) confirmed by atomic force microscopy and transmission electron microscopy. This nanogel had a lower critical solution temperature (∼35°C), observed by dynamic laser light scattering. After the phase transition, the size under UV light (50 nm) was much smaller than that induced by temperature (90 nm). The inhomogeneous collapse was attributed to the temperature-gradient generated from the gel surface to the core with a surrounding dense PNIPAM layer. The obstacles that strongly inhibited 5-fluorouracil release was successfully overcome by light irradiation via a large drug diffusion coefficient. CONCLUSION Consequently, the novel dual functional nanogel is potent for improving the drug-release profile.
An integrated control for a biped walking robot

The main objective of this work is to present and discuss some results of an integrated control system for a biped robot machine in the dynamic gait. We divided the integrated control system in two sub-systems: a control of the trajectories for the legs and the Automatic Generator of Trajectory. We designed the Automatic Generator of Trajectory by employing a neural network, which updates online the conditions of trajectory for the trunk, from the evolution of the gait, with the objective to reduce the magnitude of the resultant force and moment. We consider that this scheme is a new and interesting approach to generate online the trajectory for the trunk, giving so reflexes for the biped-walking robot.
Simulation and Real-Time Visualization of Changing Baseline in a Stereo Pair

The benefits of photogrammetry from low baseline stereo pairs have been increasingly demonstrated in recent years by engineers at the French Space Agency (CNES) and their collaborators, thanks to new advances in image restoration and computer vision. Such an emerging technology requires new tools for generating test data, evaluating and visualizing results. This article discusses the mathematical, numerical and computational problems involved in simulating such low baseline stereo pairs with sufficient accuracy, as well as in the inverse scenario, where the disparity map computed from a low-baseline stereo pair has to be expanded to generate a large baseline stereo pair that makes visual evaluation of the result by photogrametric experts easier. The trade-offs that have to be made in order to obtain accurate results on very large images, with tight constraints on computer resources are also discussed.
Small-signal modeling of discharge lamps through step response and its application to low-frequency square-waveform electronic ballasts

In this paper, a simple method to obtain the small-signal model of discharge lamps, and particularly metal halide lamps, is proposed. A DC voltage source with a series resistor is used to supply the lamp at the required power level. Then, the lamp response against an input voltage step transient is analyzed. From this analysis, the parameters of the equivalent lamp model can be calculated. The proposed method allows obtaining the lamp model in a straight manner from a single test. With this technique, a 35W metal halide lamp is modeled at two different power levels. A validation circuit, which includes a resistive ballast and a capacitance, is analyzed to evaluate the possibilities of the proposed modeling technique. The obtained experimental results are in good agreement with the theoretical analysis. The derivation of a time domain lamp model for SPICE-based computer simulators is also introduced. Finally, an example of application in low-frequency square-waveform electronic ballasts is presented.