Miracle-dz/UniFAR-FTUs huggingface dataset:
Stationäre Therapie des Typ-2-Diabetes

Zusammenfassung Der überwiegende Teil der Patienten mit Typ-2-Diabetes kann im ambulanten Umfeld (Hausarztpraxen und Diabetes-Schwerpunktpraxen) adäquat und kosteneffektiv behandelt werden. Dennoch erreichen trotz guter ambulanter Versorgungsstrukturen ca. 20–30 % der Patienten keine zufriedenstellende Blutzuckereinstellung. In derartigen Fällen kann eine stationäre Diabetesbehandlung sinnvoll sein. Die Indikationen für eine stationäre Diabetesbehandlung sind in der Nationalen Versorgungsleitlinie Diabetes dargelegt. Besondere Elemente einer stationären Diabetesbehandlung können neben spezifischen Ernährungsinterventionen (z. B. Entlastungstage) spezialisierte Schulungsprogramme, individualisierte Bewegungstherapie ebenso wie eine Anpassung der Insulintherapie bis hin zur intravenösen Insulinbehandlung sein. Eine psychosomatische Mitbetreuung der Patienten erscheint in einer spezialisierten Diabetesbehandlungseinrichtung von essenzieller Bedeutung. Durch die Kombination aus derartigen intensiven Therapiestrategien, einer praktischen Anleitung zur Lebensstilintervention und gruppendynamischen Effekten kann bei vielen Patienten im stationären Rahmen eine deutliche und nachhaltige Verbesserung der Blutzuckereinstellung erzielt werden. Leider ist der Fortbestand derartiger Behandlungseinrichtungen durch die zunehmende Ökonomisierung im Gesundheitssystem und den politisch forcierten Abbau stationärer Versorgungsstrukturen akut gefährdet.
Arctic climate variability and ice regime of the Lena River delta lakes

Climate variability in the Russian Arctic in 1991-2017 is examined based on the mesurements of the air temperature at 19 meteorological stations. The average annual air temperature at the stations fluctuated relative to the climatic baseline of 1961-1990 by 0.5-4°C in 1991-2004. Since 2005, it was higher than the climatic baseline at all stations annually. The increase in the air temperature was most pronounced in the winter months from November to February at all stations (more than 15ºC at some stations in some years). The increase in the air temperature in the summer months was noticeably smaller. The baseline level of the average monthly air temperature from November to February was exceeded most prominently at high latitude meteorological stations located at Wiese Island, Severnaya Zemlya, and Franz Josef Land (16-17ºC in some years, starting with 2005). Stations located at a distance from the ocean, such as Khatanga and Tiksi, are characterized by a smaller temperature increase compared to coastal and island stations, such as Barenzburg, Wrangel Island and others. Smaller deviations of the air temperature from the baseline level are typical in the western sector of the Russian Arctic (Murmansk, Svyatoy Nose). The influence of the Arctic climate variability on the ice regime of arctic lakes is considered according to Flake model (http://www.flake.igb-berlin.de/) for the Lena River Delta lakes.
Using a Neural Network instead of IKM in 2R Planar Robot to follow rectangular path

Abstract— An educational platform is presented here for the beginner students in the Simulation and Artificial Intelligence sciences. It provides with a start point of building and simulation of the manipulators, especially of 2R planar Robot. It also displays a method to replace the inverse kinematic model (IKM) of the Robot with a simpler one, by using a Multi-Layer Perceptron Neural Network (MLP-NN), to make the end-effector able to track a specific path, which has a rectangular shape (in this article), and allocated in the robot's workspace. The method is based on Back-Propagation Levenberg Marquardt algorithm. This paper also suggests a good strategy for the simulation of the robot's motion in Matlab to tell the beginners how the operation could be done quite closely to the built-in Matlab functions. The control part was ignored here for the simplicity. So we can classify this paper as a manual in the robotic world.
Optimal diet selection by a generalist grazing herbivore

1. We develop a stochastic dynamic programming model of grazing behaviour for a generalist mammalian herbivore. The model considers that behaviour depends upon three state variables: stored energy, digestible gut fill and indigestible gut fill. When the plant community comprises two alternative species, the animal must choose between five alternative behaviours: grazing species i, grazing species j, grazing whichever species it encounters, resting or ruminating. 2. We use the model to distinguish diet preference and diet selection. Diet preference is the diet selected by the animal when it is operating under a minimum of environmental constrains and diet selection refers to the way in which environmental constraints modify the animal's diet preference. 3. Although the model can be used for any mammal grazing in any plant community, we demonstrate solutions derived from parameter values relevant to sheep grazing a grass-clover plant community. 4. The model demonstrates that diet preference may depend on the relative intake rates of the two alternative plant species. Furthermore, preference may depend on the absolute intake rates at which the relative comparison is made. The model demonstrates that the optimal diet should have a temporal pattern across the day and that it may be sensitive to predation hazard. The model also predicts total daily intake. 5. We use the model to demonstrate that the complex patterns of diet preference are further modified when considering total abundance of species in the community (e.g. cover). 6. We explain how the model is heuristic in pointing out reasons why the literature on diet selection in this system, and in herbivores more generally, is equivocal on what is the basis of selection and preference
Genetic changes in Atlantic salmon (Salmo salar) populations of Northwest Irish rivers resulting from escapes of adult farm salmon

A study was made of rivers in Northwest Ireland where escapes of adult Atlantic salmon (Salmo salar) are known to have occurred from adjacent sea cages. Two markers that showed substantial frequency differences between these farm and wild populations were used: an Ava II-B mtDNA haplotype and allele E at minisatellite locus Ssa-A45/2/1. Farmed populations also showed a significant reduction in mean heterozygosity over the three minisatellite loci examined. Independent occurrence of mtDNA and minisatellite DNA markers in several juvenile samples indicated interbreeding of escaped farm salmon with wild salmon. The proportion of juveniles of maternal farm parentage in two rivers ranged from 18% in 1993 to 2% in 1995 with an average of 7% in both rivers (1993-1995) and a maximum frequency of 70% in an individual sample. Only a small proportion of 29 000 adult farm salmon that escaped in spring 1992 appear to have bred successfully in the rivers studied. Juveniles of farmed parentage survived to at least the 1.
Aeration, nitrogen and salinity as determinants of Spartina alterniflora Loisel. Growth response

A greenhouse experiment was conducted to examine the effects of salinity, nitrogen, and aeration on the growth of Spartina alterniflora Loisel. The experiment was conducted in a factorial arrangement of treatments with salt marsh substrate at three salinity levels (15, 30, 45‰), at two nitrogen levels (0 and 168 kg/ha) and at two aeration levels (zero and oxygen saturation). The maximum biomass was found in the low salinity, nitrogen enhanced, aerated treatment which had 11 times more biomass than the highest (45‰) salinity, nitrogen poor, unaerated treatment. the average effect of nitrogen over the three salinity levels was a 2.01, 1.47, 1.25, and 1.52 times increase in aerial biomass, density, height, and belowground biomass of the plants, respectively. The main effect of aeration was a 2.49, 2.01, 1.57, and 1.85 times increase in the same variables. The combination effect of aeration and nitrogen additions enhanced biomass by 453%. An increase in salinity from 15‰ to 45‰ decreased biomass, density, height and belowground biomass of S. alterniflora by 66, 53, 38, and 61%, respectively. The effect of salinity was more pronounced between 30 and 45‰ than it was between 15 and 30‰. N, P, K, Ca, Mg, Na, Fe, Mn, Zn, Cu, and S concentrations in the aerial living biomass were also examined. There was no evidence to suggest that elemental concentrations (on a per gram basis) were consistently correlated with increased or decreased growth. In relation to salinity, correlations between growth and elemental concentrations were negative while for nitrogen enhanced and/or aerated systems, the correlations were positive.
Risk to Native Uroleucon Aphids (Hemiptera: Aphididae) from Non-Native Lady Beetles (Coleoptera: Coccinellidae)

Abstract Aphids in the genus Uroleucon Mordvilko (Hemiptera: Aphididae) are native herbivores that feed on goldenrod (Solidago spp.) and other Asteraceae in North America. The aphids are potential prey for a wide variety of natural enemies, including native and non-native species of lady beetles (Coleoptera: Coccinellidae). Non-native lady beetles were introduced to aid control of pest aphids in cropland, but some (e.g. Coccinella septempunctata L. and Harmonia axyridis [Pallas]) are known to prey upon Uroleucon aphids in natural and semi-natural settings, raising concerns about their nontarget effects on native aphids. The objective of this study was to estimate non-target risk to Uroleucon aphids from non-native lady beetles. Risk was estimated by evaluating consumption of Uroleucon aphids by lady beetles in no-choice laboratory tests, and by determining incidence of non-native lady beetles within naturally occurring patches of goldenrod and giant sumpweed (Cyclachaena xanthifolia (Nutt.) Fresen. ) used by U. nigrotuberculatum (Olive) and U. ambrosiae (Thomas), respectively, in eastern South Dakota during 2009 and 2011. Although lady beetles substantially lowered populations of Uroleucon aphids in no-choice laboratory tests, they were infrequently associated with natural occurrences of the aphids, with incidence comprised of only four native Hippodamia convergens Guérin-Méneville and one non-native C. septempunctata on 185 aphid-infested sample units in relatively small patches of goldenrod and giant sumpweed. Despite consumption of aphids in laboratory tests, the particularly low incidence of lady beetles in field surveys indicates an empirically small risk of their predation on U. nigrotuberculatum and U. ambrosiae under field conditions.
Microstructure Model for Predicting the Sorptivity of Concrete Mixtures

Durability of concrete structures is determined by the mass transport properties of concrete. The performance of concrete exposed to aggressive environments is a function mainly of the penetrability of the pore structure i.e. the rate of absorption (sorptivity) due to capillary rise. This study involves the development of a predictive sorptivity microstructure model accounting for the type of cement, cement degree of hydration, mixtures proportion, aggregates gradation and packing density, and air content. This paper presents the formulation and validation of a sorptivity model. An experimental program is designed to evaluate the proposed model. Evaluation of the proposed model revealed that the model is a good fit to the experimental data and does not contain outliers or discerning pattern. The corresponding standard error and correlation coefficient are 0.00039 mm/s1/2 and 0.89, respectively. Results of statistical evaluation revealed that the proposed model is significant in its prediction of the outcome, where the p-value was found to be less than 0.001. The proposed predictive sorptivity model can be employed in the design of concrete mixtures to meet specific durability requirements as a priority and ensure quality control. Furthermore, the proposed model can be utilized to improve the durability prediction of concrete mixtures.
Osmotic Adjustment in Maize (Zea mays L.): Changes with Ontogeny and its Relationship with Phenotypic Stability

Genetic variation for osmotic adjustment was examined in a group of maize hybrids during vegetative and silking stages. Estimates of osmotic adjustment were derived from measurements of leaf relative water content (RWC) and osmotic potential (Ψo) before day-break. The degree of adjustment was estimated from the In RWC/In Ψo relationship. All cultivars examined showed some degree of osmotic adjustment and significant differences (P < 0.05) were found among them. The utility of measurements in early vegetative stages as a mean of selection for osmotic adjustment in silking stage was established. A positive tendency was observed between osmotic adjustment and phenotypic stability.
CDK5 promotes ventricular arrhythmogenesis through phosphorylation of N‐type calcium channels in cardiac sympathetic postganglionic neurons

Cardiac sympathetic overactivation is an important trigger of fatal ventricular arrhythmias in patients with chronic heart failure (CHF). Our previous study found that increased N‐type calcium (Cav2.2) currents in cardiac sympathetic postganglionic (CSP) neurons contributes to cardiac sympathetic overactivation and ventricular arrhythmogenesis in CHF rats. Cyclin‐dependent kinase 5 (CDK5), a proline‐directed serine/threonine kinase, has been reported to play an important role in regulation of calcium influx and neurotransmitter release through phosphorylation of Cav2.2α subunit. Our current study aims to investigate whether CDK5 induces cardiac sympathetic overactivation and increases the susceptibility to ventricular arrhythmias via phosphorylation of Cav2.2α in CSP neurons. Lentiviral‐CDK5 cDNA (1×107 TU/ml, 2μl) was in vivo transfected into bilateral stellate ganglia (SG) in sham rats. Nontransfected sham rats served as controls. Final experiments were performed at 9 days after gene transfection. Western blot data demonstrated that gene transfection with lentiviral‐CDK5 cDNA into SGs significantly increased protein expression of CDK5 in CSP neurons in sham rats, compared with nontransfected sham rats. CDK5 cDNA transfection in SGs increased phosphorylation level of Cav 2.2α in CSP neurons from sham rat. The power spectral analysis of heart rate variability in conscious rats demonstrated that overexpression of CDK5 in CSP neurons increased low frequency power and ratio of low frequency to high frequency (index of cardiac sympathetic activation). Additionally, transfection of CDK5 cDNA into CSP neurons markedly increased cardiac sympathetic nerve activity in anesthetized sham rats (45.3±6.4% in sham+CDK5 group vs. 29.2±2.1% in sham group). ECG data obtained from 24‐hour continuous telemetry ECG recording revealed that overexpression of CDK5 in CSP neurons induced heterogeneity of ventricular electrical activities in conscious sham rats, as evidenced by CDK5 cDNA‐elongated ventricular arrhythmia‐related ECG markers including QT interval, QT dispersion, and T‐peak to T‐end interval. More importantly, transfection with CDK5 cDNA into CSP neurons significantly increased the susceptibility to ventricular arrhythmias (arrhythmia score was 1.7±0.9 in sham+CDK5 group vs. 0 in sham group) in anesthetized sham rats. Based on above data, we conclude that CDK5 induces cardiac sympathetic overactivation via phosphorylation of Cav 2.2‐α subunits in CSP neurons, and further increases the susceptibility of ventricular arrhythmias in sham rats.
Changes in Types and Area of Postharvest Flooded Fields Available to Waterbirds in Tulare Basin, California

Abstract Conservation efforts to restore historic waterbird distribution and abundance in the Central Valley of California require information on current and historic areas of waterbird habitat. To provide this information, we mapped the area of agricultural fields in the vicinity of the historic Tulare Lake Bed in the Tulare Basin, California, that were treated postharvest with two different flooding regimes that varied in depth and duration of water applied (< 1 cm to 1.5 m water for longer than 1 wk [FLD]; < 1 to 15 cm water for 1 wk or less [IRG]) during August–March 1991–1994 and 2005–2006. We compared our results with published estimates for 1976–1980 and 1981–1987. Area and crops treated postharvest with FLD or IRG flooding differed among years and months. Overall for August through March, weekly area of FLD fields averaged 1,671 ha in 1976–1980 but declined to about half that in later years; the decline was most severe during January–March. Cotton was primarily treated with IRG flooding and compri.
Chlorogenic acids and other cinnamates – nature, occurrence and dietary burden

This review defines the range of forms in which cinnamates (p-coumarates, caffeates, ferulates and sinapates) occur in foods and beverages subdividing them into (i) the classic chlorogenic acids and close allies, (ii) other esters, amides and glycosides, and (iii) transformation products formed during processing. Cinnamate derivatives which would not release cinnamic acid by hydrolysis are excluded. The quantitative data are reviewed concisely and attention is drawn to certain shortcomings, in particular a complete absence of data for certain commodities (breakfast cereals, baked goods, tomato products and nuts) and minimal data for pulses, legumes and processed or cooked foods. In addition, more data are required for the edible portion of modern varieties. By extrapolating from such data as are available the important source(s) (i) of individual cinnamates (regardless of the conjugate type) and (ii) of each major class of conjugate, have been identified as follows: (i) Cinnamates: caffeic acid: coffee beverage, blueberries, apples, ciders; p-coumaric acid: spinach, sugar beet fibre, cereal brans; ferulic acid: coffee beverage, citrus juices, sugar beet fibre, cereal brans; sinapic acid: broccoli, kale, other leafy brassicas, citrus juices. (ii) Conjugates: caffeoylquinic acids: coffee beverage, blueberries, apples, ciders; p-coumaroylquinic acids: sweet cherries; feruloylquinic acids: coffee beverage; tartaric conjugates: spinach, lettuce, grapes and wines; malic conjugates: lettuce, spinach, possibly legumes; rosmarinic acid: culinary herbs, mixed herbs, possibly stuffings; cell wall conjugates: spinach, sugar beet fibre, cereal brans. It seems likely that the UK population will fall into several categories depending on (i) their consumption of coffee, (ii) their consumption of bran, and (iii) their consumption of citrus. Those who drink several cups of coffee per day augmented by bran and citrus might easily ingest 500-800mg cinnamates (or even 1 g for the greatest coffee ingest consumption) whereas those who eschew all these and take little fresh fruit or vegetables might struggle to consume 25 mg.
Characteristics of an RNA Diels−Alderase Active Site

The active site components and substrate specificity of an RNA Diels−Alderase (DA22) were investigated. Diels−Alderase activity was found to be highly dependent on a unique 5-position pyridyl modified uridine. Even closely related pyridyl modifications failed to yield active catalysts. Substrate specificity of this Diels−Alderase was remarkable. Experiments with alternative diene and dienophile substrates showed the active site of the Diels−Alderase to be highly discriminating, even against molecules of similar reactivity and structure. Inhibition studies with a series of product analogues established that the RNA recognizes functional components in and around the reaction center of both the diene and the dienophile. Taken together, these results suggest that DA22 can fold into a structure that produces an intricate metal/ligand dependent active site capable of highly specific molecular recognition.
Beam Alignment and Tracking for Millimeter Wave Communications via Bandit Learning

Millimeter wave (mmwave) communications have attracted increasing attention thanks to the abundant spectrum resource. The short wave-length of mmwave signals facilitates exploiting large antenna arrays to achieve large array gains and combat the large path-loss. However, the use of large antenna arrays along with narrow beams leads to a large overhead in beam training for obtaining channel state information, especially in dynamic environments. To reduce the overhead of beam training, in this paper we formulate the problem of beam alignment and tracking (BA/T) as a stochastic bandit problem. In particular, to sense the change of the environments, the actions are designed based on the offset of successive beam indexes (i.e., beam index difference), which measures the rate of change of the envir-onments. Then, we propose two efficient BA/T algorithms based on the stochastic bandit learning. To reveal useful insights, the performance of effective achievable rate is further analyzed for the proposed BA/T algorithms. The analytical results show that the algorithms can sense the change of the environments and adjust beam training strategies intelligently. In addition, they do not require any priori knowledge of dynamic channel modeling, and thus are applicable to a variety of complicated scenarios. Simulation results demonstrate the effectiveness and superiority of the proposed algorithms.
Quick and Accurate False Data Detection in Mobile Crowd Sensing

The attacks, faults, and severe communication/system conditions in Mobile Crowd Sensing (MCS) make false data detection a critical problem. Observing the intrinsic low dimensionality of general monitoring data and the sparsity of false data, false data detection can be performed based on the separation of normal data and anomalies. Although the existing separation algorithm based on Direct Robust Matrix Factorization (DRMF) is proven to be effective, requiring iteratively performing Singular Value Decomposition (SVD) for low-rank matrix approximation would result in a prohibitively high accumulated computation cost when the data matrix is large. In this work, we observe the quick false data location feature from our empirical study of DRMF, based on which we propose an intelligent Light weight Low Rank and False Matrix Separation algorithm (LightLRFMS) that can reuse the previous result of the matrix decomposition to deduce the one for the current iteration step. Depending on the type of data corruption, random or successive/mass, we design two versions of LightLRFMS. From a theoretical perspective, we validate that LightLRFMS only requires one round of SVD computation and thus has very low computation cost. We have done extensive experiments using a PM 2.5 air condition trace and a road traffic trace. Our results demonstrate that LightLRFMS can achieve very good false data detection performance with the same highest detection accuracy as DRMF but with up to 20 times faster speed thanks to its lower computation cost.
Morphometrics of the aerial roots of Kingia australis (Liliales)

Kingia australis, common in the heaths and forests of south-western Australia, is distinguished from all other grass trees in Australia by the presence of a mantle of concealed aerial roots. A ring of up to 50 root primordia is initiated in winter from the stem apex. In plants more than 1 m high, initiation and commencement of elongation of the primary roots are no longer annual but dependent on the fire history of the plant. These roots descend between the stem and persistent leaf bases at about 2 cm per growing month, sending many lateral branches among the leaf bases. Aerial roots gradually replace the space occupied by the leaf bases until they may account for 45% of the dry weight of the aerial caudex. The caudex of one 6-m-high specimen bore up to 27 roots per cm2 transection of the root mantle, with about 3000 primary roots entering the soil. All underground primary roots (except the initial contractile roots) have an aerial origin and are concentrated vertically under the canopy. After 300-400 years the stem starts to die back from the base, and the aerial roots attached to that portion disintegrate. By propping up the stem and bridging the dead zone of the stem, the living aerial roots greatly extend the potential height and longevity of the plant. In addition, the hairy laterals are ideally located to absorb water and nutrients directly from the leaf bases. Protective and aerating functions are also indicated.