LLukas22/scidocs huggingface dataset:
Are Molecular Vibration Patterns of Cell Structural Elements Used for Intracellular Signalling?

BACKGROUND
To date the manner in which information reaches the nucleus on that part within the three-dimensional structure where specific restorative processes of structural components of the cell are required is unknown. The soluble signalling molecules generated in the course of destructive and restorative processes communicate only as needed.


HYPOTHESIS
All molecules show temperature-dependent molecular vibration creating a radiation in the infrared region. Each molecule species has in its turn a specific frequency pattern under given specific conditions. Changes in their structural composition result in modified frequency patterns of the molecules in question. The main structural elements of the cell membrane, of the endoplasmic reticulum, of the Golgi apparatus, and of the different microsomes representing the great variety of polar lipids show characteristic frequency patterns with peaks in the region characterised by low water absorption. These structural elements are very dynamic, mainly caused by the creation of signal molecules and transport containers. By means of the characteristic radiation, the area where repair or substitution services are needed could be identified; this spatial information complements the signalling of the soluble signal molecules. Based on their resonance properties receptors located on the outer leaflet of the nuclear envelope should be able to read typical frequencies and pass them into the nucleus. Clearly this physical signalling must be blocked by the cell membrane to obviate the flow of information into adjacent cells.


CONCLUSION
If the hypothesis can be proved experimentally, it should be possible to identify and verify characteristic infrared frequency patterns. The application of these signal frequencies onto cells would open entirely new possibilities in medicine and all biological disciplines specifically to influence cell growth and metabolism. Similar to this intracellular system, an extracellular signalling system with many new therapeutic options has to be discussed.
ACH: Away cluster heads scheme for Energy Efficient Clustering Protocols in WSNs

This paper deals with the routing protocols for distributed wireless sensor networks. The conventional protocols for WSNs like Low Energy adaptive Clustering Hierarchy (LEACH), Stable Election Protocol (SEP), Threshold Sensitive Energy Efficient Network (TEEN), Distributed Energy Efficient Clustering Protocol (DEEC) may not be optimal. We propose a scheme called Away Cluster Head (ACH) which effectively increases the efficiency of conventional clustering based protocols in terms of stability period and number of packets sent to base station (BS). We have implemented ACH scheme on LEACH, SEP, TEEN and DEEC. Simulation results show that LEACHACH, SEP-ACH, TEEN-ACH and DEEC-ACH performs better than LEACH, SEP, TEEN and DEEC respectively in terms of stability period and number of packets sent to BS. The stability period of the existing protocols prolongs by implementing ACH on them.
Density estimation techniques for global illumination

In this thesis we present the density estimation framework for computing view-independent global illumination solutions. The framework consists of three phases: particle tracing, density estimation, and decimation. Monte Carlo particle tracing is used to accurately simulate the light transport under a general spectral geometric-optics based physical model. Next kernel density estimation is used to reconstruct perceptual illumination functions. Finally decimation is used to optimize the resulting mesh for compactness and rapid interactive display as Gouraud-shaded triangles. The three principal contributions of this work are the framework's separation of transport and function reconstruction computations, its ability to produce accurate solutions with precisely known error characteristics, and the techniques that we introduce to improve its eciency and accuracy. Particle tracing's generality allows us to eliminate or delay many common simplifying assumptions and improves our accuracy and error analysis. Delaying the density estimation until particle tracing is complete allows us to make better use of the expensive particle data. The separation of global transport and local representation computations also reduces the computational complexity of each phase, enhances the framework's scal-ability, and exposes abundant opportunities for parallelism. Another advantage is that we can solve directly for the radiant exitance without needing to estimate the more complicated spectral radiance function. Despite its advantages, if naively implemented the framework would be prohibitively expensive. Thus we also introduce several techniques that signicantly improve its accuracy and eciency. These include the separation of luminance and chromaticity band-widths, perceptually-motivated noise visibility predictors, statistical bias detection techniques to automatically enhance underresolved illumination features, a local polynomial density estimation method to eliminate boundary bias, and wavelength importance sampling to reduce the spectral noise. Results of the framework are shown for some complex environments and compared against measured data for a simple scene. The strength of our framework is that it can simulate a wider variety of lighting effects , with fewer simplifying assumptions, and more precise error analysis that current view-independent methods. Furthermore, because of its accuracy, our density estimation framework solutions are used as reference solutions for judging the quality and eective-ness of more approximate but faster rendering methods. Island and the scourge of its dreaded accent, he attended Williams College in western Massachusetts. While there, he completed a B _ A _ in 1991 with a double major in Physics and Computer Science thus causing even his physics advisor to complain that he wasn't taking enough liberal arts courses. …
Ieee Robotics & Automation Magazine Review of Actuators with Passive Adjustable Compliance/controllable Stiffness for Robotic Applications

I n the growing fields of wearable robotics, rehabilitation robotics, prosthetics, and walking robots, variable stiffness actuators (VSAs) or adjustable compliant actuators are being designed and implemented because of their ability to minimize large forces due to shocks, to safely interact with the user, and their ability to store and release energy in passive elastic elements. This review article describes the state of the art in the design of actuators with adaptable passive compliance. This new type of actuator is not preferred for classical position-controlled applications such as pick and place operations but is preferred in novel robots where safe human– robot interaction is required or in applications where energy efficiency must be increased by adapting the actuator’s resonance frequency. The working principles of the different existing designs are explained and compared. The designs are divided into four groups: equilibrium-controlled stiffness, antagonistic-controlled stiffness, structure-controlled stiffness (SCS), and mechanically controlled stiffness. In classical robotic applications, actuators are preferred to be as stiff as possible to make precise position movements or trajectory tracking control easier (faster systems with high bandwidth). The biological counterpart is the muscle that has superior functional performance and a neuromechanical control system that is much more advanced at adapting and tuning its parameters. The superior power-to-weight ratio, force-toweight ratio, compliance, and control of muscle, when compared with traditional robotic actuators, are the main barriers for the development of machines that can match the motion, safety, and energy efficiency of human or other animals. One of the key differences of these systems is the compliance or springlike behavior found in biological systems [1]. Although such compliant
Nonmetric cranial variation of Jomon Japan: Implications for the evolution of eastern Asian diversity.

OBJECTIVES
The purpose of this study is to investigate the origin and expansion of the Jomon population, the Neolithic inhabitants of the Japanese archipelago, and peopling East/Northeast Asian region through a global comparison between the prehistoric samples from around the world.


METHODS
R-matrix approach was applied to 20 nonmetric cranial traits for assessing the population structure and history of the Jomon. Pattern of ancient group relationships on a global scale was presented using network splitstree applied to distance matrix transformed from the R-matrix.


RESULTS
The phenotypic variation is largest in Hokkaido region, followed by the regions of eastern Japan. The Chugoku region, the southwestern part of Japan, shows larger variance than eastern Japan. Global analyses including samples from Northeast Asia, Southeast Asia, Australia, West Asia, Europe, and North Africa dating roughly to the same chronological periods as those of the Jomon groups, indicate northern affinities of the Jomon and the distinction between Southeast and Northeast Asian series.


CONCLUSION
The Jomon ancestors of the northern part of Japan might have expanded southward to Honshu Island with a series of bottlenecks. A possible gene flow from outside source or heterogeneous origin of western Jomon group was, at the same time, suggested. The network relationships of the Jomon with Northeast Asians and, to a lesser extent, with Southeast Asians based on the splitstree analysis may allow us to suppose that the Jomon may be one of the key populations for the studies of the evolution of eastern Asian diversity.
Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning

Dermatology is a medical field which stands to be heavily augmented by the use of artificial intelligence techniques. Diseases are visually screened for, and many disease diagnoses are performed strictly with an in-clinic visual examination. Discerning between skin lesions is difficult the difference between skin cancer (melanoma, carcinoma) and benign lesions (nevi, seborrheic keratosis) is minute (Figure 1). With 5.4 million cases of skin cancer diagnosed each year in the United States alone, the need for quick and effective clinical screenings is rising [1, 2]. Patients with skin cancer tend to be afflicted with many moles, and so one of the challenges in skin cancer screenings is identifying them amongst a myriad of benign lesions. Another key element of these diagnoses is based on inspecting temporal changes in lesions a fast changing lesion is more likely to be malignant. As such, patients and providers need tools to support this at scale.
Mercury transformation and speciation in flue gases from anthropogenic emission sources: a critical review

Mercury transformation mechanisms and speciation profiles are reviewed for mercury formed in and released from flue gases of coal-fired boilers, non-ferrous metal smelters, cement plants, iron and steel plants, waste incinerators, biomass burning and so on. Mercury in coal, ores, and other raw materials is released to flue gases in the form of Hg during combustion or smelting in boilers, kilns or furnaces. Decreasing temperature from over 800 C to below 300 C in flue gases leaving boilers, kilns or furnaces promotes homogeneous and heterogeneous oxidation of Hg to gaseous divalent mercury (Hg), with a portion of Hg adsorbed onto fly ash to form particulate-bound mercury (Hgp). Halogen is the primary oxidizer for Hg in flue gases, and active components (e.g., TiO2, Fe2O3, etc.) on fly ash promote heterogeneous oxidation and adsorption processes. In addition to mercury removal, mercury transformation also occurs when passing through air pollution control devices (APCDs), affecting the mercury speciation in flue gases. In coal-fired power plants, selective catalytic reduction (SCR) system promotes mercury oxidation by 34–85 %, electrostatic precipitator (ESP) and fabric filter (FF) remove over 99 % of Hgp, and wet flue gas desulfurization system (WFGD) captures 60–95 % of Hg. In non-ferrous metal smelters, most Hg is converted to Hg and removed in acid plants (APs). For cement clinker production, mercury cycling and operational conditions promote heterogeneous mercury oxidation and adsorption. The mercury speciation profiles in flue gases emitted to the atmosphere are determined by transformation mechanisms and mercury removal efficiencies by various APCDs. For all the sectors reviewed in this study, Hgp accounts for less than 5 % in flue gases. In China, mercury emission has a higher Hg fraction (66–82 % of total mercury) in flue gases from coal combustion, in contrast to a greater Hg fraction (29–90 %) from non-ferrous metal smelting, cement and iron and/or steel production. The higher Hg fractions shown here than previous estimates may imply stronger local environmental impacts than previously thought, caused by mercury emissions in East Asia. Future research should focus on determining mercury speciation in flue gases from iron and steel plants, waste incineration and biomass burning, and on elucidating the mechanisms of mercury oxidation and adsorption in flue gases.
How to Gamify? A Method For Designing Gamification

During recent years, gamification has become a popular method of enriching information technologies. Several business analysts have made promising predictions about penetration of gamification, however, it has also been estimated that most gamification efforts will fail due to poor understanding of how gamification should be designed and implemented. Therefore, in this paper we seek to advance the understanding of best practices related to the gamification design process. We approach this research problem via a design science research approach; firstly, by synthesizing the current body of literature on gamification design methods and interviewing 25 gamification experts. Secondly, we develop a method for gamification design, based on the gathered knowledge. Finally, we conduct an evaluation of the method via interviews of 10 gamification experts. The results indicate that the developed method is comprehensive, complete and provides practical utility. We deliver a comprehensive overview of gamification guidelines and shed novel insights into the overall nature of the gamification development and design discourse.
The effect of tranexamic acid for treatment irregular uterine bleeding secondary to DMPA use.

OBJECTIVE
Evaluate the efficacy of tranexamic acid and placebo for controlling irregular uterine bleeding in depot-medroxyprogesterone acetate (DMPA) users.


MATERIAL AND METHOD
A double-blind, placebo-controlled study was conducted on 100 DMPA users attending the Family Planning Clinic King Chulalongkorn Memorial Hospital. All users had abnormal bleeding. They were randomly divided in two groups; a group of 50 received tranexamic acid, 250 mg four times a day for 5 days and another group of 49 received placebo in the same manner. One subject dropped out from the study. Total day of bleeding/spotting and percentage of women in whom bleeding was stopped were analyzed at the end of weeks 1 and 4.


RESULTS
The percentage of subjects in whom bleeding was stopped during the first week after initial treatment was significantly higher in the tranexamic acid group than the placebo group (88% vs. 8.2%, p < 0.001). During the follow-up period (4 weeks after initial treatment), a bleeding-free interval of > 20 days was found in 68% of subjects treated with tranexamic acid and 0% treated with placebo(p < 0.001). The mean number of bleeding/spotting days were also significantly different between the groups (5.7 +/- 2.5 vs. 17.5 +/- 7.2 days, p < 0.05).


CONCLUSION
Tranexamic acid was more effective than placebo in short-term treatment of irregular uterine bleeding/spotting associated with DMPA use.
Residual air in the venous cannula increases cerebral embolization at the onset of cardiopulmonary bypass.

OBJECTIVE
When the right atrium (RA) cannula is connected to the venous return line of the cardiopulmonary bypass (CPB) circuit, air is often introduced. Air in the venous cannula may increase cerebral air embolization at initiation of CPB despite the arterial line filter. We measured the volume of air present in the venous cannula after cannulation of the RA. Transcranial Doppler quantified emboli as high-intensity transient-signals (HITS) in both middle-cerebral arteries (MCA) at the beginning of CPB.


METHODS
After RA cannulation, the air column in the venous line was measured and the total volume calculated using the known lumen diameter. CPB onset was defined as the instant when the CPB machine started moving the patient's blood from the RA into the venous reservoir. Starting from CPB onset, HITS were counted: (a) until completion of the first minute on CPB (1-min count) and (b) until aortic cross clamping (pre-clamping count).


RESULTS
We studied 135 patients during coronary artery bypass surgery operated on by 10 cardiac surgeons. HITS during onset of CPB were detected in 95% of patients. Median counts were 10 HITS (25th, 75th percentiles: 3, 26) at 1-min and 21 HITS (8, 51) during pre-clamping. A significant correlation was found between the volume of air in the venous cannula and the HITS counts (r=0.524, p<0.0001). Absence of retained air was associated with lower HITS counts [3 HITS (1, 11)] compared with any amount of air [13 HITS (4, 29), p=0.002)]. The volume of air in the venous cannula, the MCA mean blood flow velocity and the pre-clamping time were the only independent predictors of the pre-clamping HITS counts (p<0.001).


CONCLUSION
Air in the venous cannula can result in HITS in the MCA. Minimizing the volume of air introduced into the venous cannula after cannulation of the RA can decrease cerebral air embolization at the beginning of CPB.
A preferred music listening intervention to reduce anxiety in older adults with dementia in nursing homes.

AIM
This article reports the results of a study evaluating a preferred music listening intervention for reducing anxiety in older adults with dementia in nursing homes.


BACKGROUND
Anxiety can have a significant negative impact on older adults' functional status, quality of life and health care resources. However, anxiety is often under-diagnosed and inappropriately treated in those with dementia. Little is known about the use of a preferred music listening intervention for managing anxiety in those with dementia.


DESIGN
A quasi-experimental pretest and posttest design was used.


METHODS
This study aimed to evaluate the effectiveness of a preferred music listening intervention on anxiety in older adults with dementia in nursing home. Twenty-nine participants in the experimental group received a 30-minute music listening intervention based on personal preferences delivered by trained nursing staff in mid-afternoon, twice a week for six weeks. Meanwhile, 23 participants in the control group only received usual standard care with no music. Anxiety was measured by Rating Anxiety in Dementia at baseline and week six. Analysis of covariance (ancova) was used to determine the effectiveness of a preferred music listening intervention on anxiety at six weeks while controlling for pretest anxiety, age and marital status.


RESULTS
ancova results indicated that older adults who received the preferred music listening had a significantly lower anxiety score at six weeks compared with those who received the usual standard care with no music (F = 12.15, p = 0.001).


CONCLUSIONS
Preferred music listening had a positive impact by reducing the level of anxiety in older adults with dementia.


RELEVANCE TO CLINICAL PRACTICE
Nursing staff can learn how to implement preferred music intervention to provide appropriate care tailored to the individual needs of older adults with dementia. Preferred music listening is an inexpensive and viable intervention to promote mental health of those with dementia.
Analgesic efficacy of tramadol in cats with naturally occurring osteoarthritis

OBJECTIVES
This study aimed to (1) compare outcome assessments in normal and osteoarthritic cats and (2) evaluate the analgesic efficacy of tramadol in feline osteoarthritis (OA), in a prospective, randomised, blinded, placebo-controlled, crossover design.


METHODS
Twenty cats were included after clinical examination, blood work and full body radiographs were performed. In Phase 1, outcome assessments aimed to differentiate normal (n = 5; i.e. exempt of any radiographic and clinical sign of OA) from OA (n = 15) cats. In Phase 2, OA cats were treated twice daily with a placebo (PG: cornstarch 15 mg) or tramadol (TG: 3 mg/kg) orally for 19 days, with a 3-month washout period between treatments. Evaluations were performed in normal and OA cats at baseline and consisted of: 1) peak vertical force (PVF) after staircase exercise; 2) telemetered night-time motor activity (NMA); and 3) response to mechanical temporal summation (RMTS). After treatment, PVF, NMA and RMTS evaluations were repeated in OA cats. Data were analysed with mixed model methods with an alpha-threshold of 5%.


RESULTS
Phase 1: 1) PVF (% of body weight; mean ± SD) was higher in normal (59 ± 10.5) than in OA cats (50.6 ± 5.7) (p = 0.005); 2) NMA (no unit) was not different between groups; 3) RMTS (number of stimuli; median (range)) was higher in normal [29.5 (23.5-30)] than in OA cats [14 (8.5-28)] (p < 0.0001). Phase 2: PVF, NMA and RMTS presented a treatment effect (p = 0.024, p = 0.008 and p = 0.018, respectively). No clinically important adverse-effects were observed.


CONCLUSION
Outcome assessments such as kinetics (PVF) and evaluation of central sensitisation (RMTS) are discriminant of OA status. Mobility measured by NMA was not discriminant of OA status, however it increased in OA cats with tramadol treatment. Nociceptive hypersensitivity quantified by RMTS was evident in OA cats and was responsive to tramadol treatment.
MicroRNA-146A contributes to abnormal activation of the type I interferon pathway in human lupus by targeting the key signaling proteins.

OBJECTIVE
MicroRNA have recently been identified as regulators that modulate target gene expression and are involved in shaping the immune response. This study was undertaken to investigate the contribution of microRNA-146a (miR-146a), which was identified in the pilot expression profiling step, to the pathogenesis of systemic lupus erythematosus (SLE).


METHODS
TaqMan microRNA assays of peripheral blood leukocytes were used for comparison of expression levels of microRNA between SLE patients and controls. Transfection and stimulation of cultured cells were conducted to determine the biologic function of miR-146a. Bioinformatics prediction and validation by reporter gene assay and Western blotting were performed to identify miR-146a targets.


RESULTS
Profiling of 156 miRNA in SLE patients revealed the differential expression of multiple microRNA, including miR-146a, a negative regulator of innate immunity. Further analysis showed that underexpression of miR-146a negatively correlated with clinical disease activity and with interferon (IFN) scores in patients with SLE. Of note, overexpression of miR-146a reduced, while inhibition of endogenous miR-146a increased, the induction of type I IFNs in peripheral blood mononuclear cells (PBMCs). Furthermore, miR-146a directly repressed the transactivation downstream of type I IFN. At the molecular level, miR-146a could target IFN regulatory factor 5 and STAT-1. More importantly, introduction of miR-146a into the patients' PBMCs alleviated the coordinate activation of the type I IFN pathway.


CONCLUSION
The microRNA miR-146a is a negative regulator of the IFN pathway. Underexpression of miR-146a contributes to alterations in the type I IFN pathway in lupus patients by targeting the key signaling proteins. The findings provide potential novel strategies for therapeutic intervention.