Duration Of State Research Articles

Combining zircon texture, REE patterns and U-Pb-Hf isotopes to decipher the formation process of orbicular rocks: A case study from Huangling orbicular granodiorite, Yangtze craton, China

The petrogenesis of orbicular rocks is still enigmatic because of the unique texture and variable compositions. In this study, we focus on the textural characteristics and mineral compositions from Huangling Orbicular Granodiorite (HOG), where orbicules with rhythmic growth texture and radial growth texture exist in the same outcrop. Textural and isotopic studies of zircons from different parts of the representative orbicules show three age groups of 1961 ± 19 Ma, 890 ± 6 Ma and 852 ± 6 Ma, corresponding to the ages of protolith crystallization, melt emplacement, and input of a new magma, respectively. Combined with field relationship, Ti-zircon crystallization temperature, trace element modelling and Hf isotopic data, the HOG may be derived from high-temperature contact process that involved the partial melting of granodiorites in contact and interaction with a quartz-bearing dioritic intrusion.Textural features and mineral compositions of the studied orbicules show that different textures are related to different states of crystallization. Orbicules with a rhythmic growth texture have disequilibrium crystallization zone with feldspar An contents of 34–46 and a “W”-shape pattern (forming rhythmic layers), and near-equilibrium crystallization zone with An contents of 42–44 (forming the inner part). Orbicules with a radial growth texture was crystallization in disequilibrium, as An contents show approximate linear variations of 32–44 to form radial growth layer, and with An varies 26–46 to form the inner part.Our observations support the magma quenching hypothesis, proposed as hot orbicule melts underwent rapid cooling with inward crystallization. Moreover, we firstly suggest that the amphibole-plagioclase disequilibrium crystallization could explain different textures of orbicules. Rhythmic growth texture and radial growth texture are formed at undercooling state with fast and slow cooling rates, separately. The numbers of rhythmic layers are controlled by the duration of undercooling state, while the width of each layer is controlled by the cooling rate. If excess amphibole components left in the center of orbicule melt, the “core” will be mafic. Otherwise, the “core” will be felsic.

Longitudinal Impact of Frailty States and Sleep Duration on Subsequent Depressive Symptoms of Older Adults.

To determine the effects of baseline and changes in frailty states on subsequent depressive symptoms, and whether sleep duration would modify these effects. Prospective, cohort study. The 2011 baseline and 2013 follow-up waves of the China Health and Retirement Longitudinal Study (CHARLS). Community-dwelling old adults who were aged 60 or above at baseline and participated in the 2011 and 2013 waves of the CHARLS (N = 5,026). Frailty was measured using the physical frailty phenotype (PFP) scale. Levels of depressive symptoms were measured by the 10-item Center for Epidemiologic Studies Depression Scale (CES-D). Using the generalized estimating equations (GEE), the effects of baseline and transitions in frailty states were examined on subsequent depressive symptoms, adjusting for a range of confounding variables. Baseline prefrail (b = 0.97, P < .05) and frail states (b = 0.35, P < .05) were associated with higher subsequent level of depressive symptoms 2 years later. Within individuals who were robust at baseline, transitioning into prefrail/frail (b = 3.04, P < .001) was associated with a higher subsequent level of depressive symptoms, and this association was accelerated by short sleep duration. Within individuals who were prefrail at baseline, transitioning into frail (b = 1.76, P < .001) was associated with higher subsequent levels of depressive symptoms, and this association was stronger among those who reported short sleep duration. Baseline and transitions in frailty states were significantly related with higher subsequent levels of subsequent depressive symptoms. Short sleep duration significantly moderated the effects of baseline or transitions of frailty on subsequent depressive symptoms. Targeted interventions could be implemented to improve sleep quality for prefrail and frail older adults.

Preliminary Characterization of Coverage for Water-to-Air Visible Light Communication Through Wavy Water Surface

In this paper, we establish a water-to-air (W2A) visible light communication (VLC) link using green light emitting diode (LED), and investigate the coverage characteristics of the designed W2A-VLC link under calm and wavy water conditions. By transmitting a high-frequency sinusoid signal, we extract the variation of link gain. Based on the received signals of an experimental W2A-VLC system, we obtain the real link gains at different receiver points and analyze the channel temporal properties in good link conditions (called link “on” state). It is seen that the mean channel gain under wavy water surface condition can be larger than that under calm water surface condition, especially when the transmitter and receiver are not perfectly aligned, due to the random spatial modulation effect of wavy water surface. Moreover, the “on” state duration and interval can be well fitted by a shifted exponential distribution and a shifted lognormal distribution, respectively. Bit error rate (BER) results reveal the effect of expanded link gain variation under wavy water surface condition. This work provides significant guidance for future works on the communication protocol design and related performance analysis.

The euro to dollar exchange rate in the Covid‐19 era: Evidence from spectral causality and Markov‐switching estimation

In this paper, we analyse how the Covid‐19 pandemic changed the dynamics of the euro to dollar exchange rate. To do so, we make use of spectral non‐causality tests to uncover the determinants of the euro to dollar exchange rate, using data that cover the pre‐Covid‐19 and the actual Covid‐19 era, by considering the exchange rate movements of other currencies, the stock market index of S&P 500, and the price of oil and gold, as well as their realized volatilities. Based on our findings, the Covid‐19 pandemic has indeed significantly changed the determinants of the euro to dollar exchange rate. Also, to investigate the potential shifts in the regimes of the euro to dollar exchange rate, we formulate a Markov‐switching model with two regimes, based on the determinants that have been found in the previous step. Based on our findings, the duration of the high volatility state in the Covid‐19 era has doubled, from almost 3 to approximately 6 days, compared to the pre‐Covid‐19 era, whereas the high volatility state in the Covid‐19 era is characterized by a statistically significant higher range of volatility compared to the pre‐Covid‐19 era.

Dutch utility weights for the EORTC cancer-specific utility instrument: the Dutch EORTC QLU-C10D

PurposeTo measure utilities among cancer patients, a cancer-specific utility instrument called the European Organization for Research and Treatment of Cancer (EORTC) QLU-C10D has been developed based on EORTC quality of life core module (QLQ-C30). This study aimed to provide Dutch utility weights for the QLU-C10D.MethodsA cross-sectional valuation study was performed in 1017 participants representative in age and gender of the Dutch general population. The valuation method was a discrete choice experiment containing 960 choice sets, i.e. pairs of QLU-C10D health states, each health state described in terms of the 10 QLU-C10D domains and the duration of that health state. Each participant considered 16 choice sets, choosing their preferred health state from each pair. Utility scores were derived using generalized estimation equation models. Non-monotonic levels were combined.ResultsUtility decrements were generated for all 10 QLU-C10D domains, with largest decrements for pain (− 0.242), physical functioning (− 0.228), and role functioning (− 0.149). Non-monotonic levels of emotional functioning, pain, fatigue, sleep problems, and appetite loss were combined. No decrement in utility was seen in case of a little or quite a bit impairment in emotional functioning or a little pain. The mean QLU-C10D utility score of the participants was 0.85 (median = 0.91, interquartile range = 0.82 to 0.96).ConclusionDutch utility decrements were generated for the QLU-C10D. These are important for evaluating the cost-utility of new cancer treatments and supportive care interventions. Further insight is warranted into the added value of the QLU-C10D alongside other utility instruments.

Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration.

This paper presents a novel heart sound segmentation algorithm based on Temporal-Framing Adaptive Network (TFAN), including state transition loss and dynamic inference. In contrast to previous state-of-the-art approaches, TFAN does not require any prior knowledge of the state duration of heart sounds and is therefore likely to generalize to non sinus rhythm. TFAN was trained on 50 recordings randomly chosen from Training set A of the 2016 PhysioNet/Computer in Cardiology Challenge and tested on the other 12 independent databases (2,099 recordings and 52,180 beats). And further testing of performance was conducted on databases with three levels of increasing difficulty (LEVEL-I, -II and -III). TFAN achieved a superior F1 score for all 12 databases except for 'Test-B,' with an average of 96.72%, compared to 94.56% for logistic regression hidden semi-Markov model (LR-HSMM) and 94.18% for bidirectional gated recurrent neural network (BiGRNN). Moreover, TFAN achieved an overall F1 score of 99.21%, 94.17%, 91.31% on LEVEL-I, -II and -III databases respectively, compared to 98.37%, 87.56%, 78.46% for LR-HSMM and 99.01%, 92.63%, 88.45% for BiGRNN. TFAN therefore provides a substantial improvement on heart sound segmentation while using less parameters compared to BiGRNN. The proposed method is highly flexible and likely to apply to other non-stationary time series. Further work is required to understand to what extent this approach will provide improved diagnostic performance, although it is logical to assume superior segmentation will lead to improved diagnostics.

Variational method-based distributed optimal guidance laws for multi-attackers’ simultaneous attack

To solve the problem of cooperative encirclement and simultaneous attack of multiple unmanned aerial vehicles, variational method and Hamiltonian optimization are utilized to design an optimal attack trajectory of multiple attackers pursuing a single target that has fixed initial relative state, fixed final relative state and fixed duration of the attack under condition that the acceleration of the target being estimable. When terminal relative state and attack duration are unknown, online calculation algorithm is used to compute a chain of key intermediate points to create the guidance law and ensure successful deliverance of multiple attackers’ simultaneous attack of the target. The only requirement for the multi-attacker communication network is that it contains a directed spanning tree. The guidance laws can function properly as long as one or more attacker can observe the target. The novel guidance laws practicability are verified by simulation results.

Adaptive neuro-fuzzy interface system and neural network modeling for the drying kinetics of instant controlled pressure drop treated parboiled rice.

Hot air drying kinetics of paddy grains during instant controlled pressure drop (ICPD) assisted parboiling process and its impact on the quality and micro-structural properties of milled rice were investigated. Among five mathematical models, Midilli model showed best fitted outcomes for prediction of adequate drying behavior. For the mapping of moisture ratio (MR) as a function of treatment pressure (TP), decompressed state duration (DD) and drying time (DT), artificial neural network (ANN) and adaptive neuro-fuzzy interface system (ANFIS) were applied. ANFIS model (5-5-5) with Gaussian membership function demonstrated best performance when contrasted with 3-5-1 ANN architecture. Effective diffusivity of the drying process varied from 2.8 × 10-09 to 7.0 × 10-09 m2/s with the increase of TP and DD. In comparison of quality parameters with the variation of TP and DD, positive impacts on head rice yield (HRY), redness (a*) and yellowness (b*) values and negative consequences on cooking time (CT) and brightness (L*) value were observed. The outcomes additionally uncovered that parboiled rice obtained at 0.6 MPa TP, indicated best quality in terms of improved process performance, HRY, CT, color and micro-structural properties.

Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques

Integrating renewable energy sources (RESs) into electrical power systems has gotten highly noticeable among researchers and those interested in electrical energy production due to the increase in energy demands, fossil fuel exhaustion, and ecological effects. PV-based renewable energy generation is one of the essential RESs that has appeared and had played a vital role in electrical power systems recently due to their advantages. In this regard, this paper presents a multi-objective computation problem for optimal siting and the design of grid-tied PV systems to achieve optimum generating reliability, considering some states of different generation probabilities. The proposed paper studies the evaluation of the grid-tied PV systems reliability, the states of generation probabilities, the generation buses availabilities, the capacities of the generation's system in or out of service for each failure state, and the frequency and mean duration of generation failure states. The presented multi-objective computation problem is optimized using a modified adaptive accelerated particle swarm optimization (MAACPSO) algorithm. The effectiveness of the proposed method is demonstrated through IEEE_EPS_24_bus integrated with PV systems. Results revealed the ability of MAACPSO to solve the multi-objective optimization problem presented, consequently supporting the system reliability.

Development of the dwarf shrubThymus mongolicus(Lamiaceae) in the conditions of Southern Siberia

The features of the development ofThymus mongolicusin the conditions of Southern Siberia was studied. The similarity of the phases of morphogenesis of individuals in all habitats was established. The duration of individual ontogenetic states, the ontogenesis, the morphogenesis and the reproduction ofT. mongolicusare depending on the topography, the substrate and the total projective grass cover. The identified features of development contribute to the adaptation ofT. mongolicus, survival and distribution of the species in different conditions of Southern Siberia.

ОПТИМИЗАЦИЯ ПАРАМЕТРОВ АЛГОРИТМА ОБОБЩЕННОЙ ДИСПЕРСИИ ПРИ СТАТИСТИЧЕСКОМ КОНТРОЛЕ ПРОЦЕССА

When monitoring a real production process using statistical methods, the question of early detection of violations arises. In most cases, several indicators are monitored simultaneously in the production process, and a change in the values of some indicators leads to a change in others. If there is a dependence of indicators for their monitoring, multivariate statistical control tools are used, in particular generalized variance chart. By varying the parameters of the chart, its efficiency can be significantly increased, this allows minimizing the time the process is in an unstable state.Applying the approach of A. Duncan, which he developed for Shewhart charts, a formula for the expectation of the duration of an unstable state of a process was obtained and a Python program was developed to minimize it. To test the set optimization problem, the calculation of the data of two process indicators is given and the optimal parameters of the generalized variance chart are obtained, at which the duration of the process in an unstable state is minimal.

ОНТОМОРФОГЕНЕЗ И СТРУКТУРА ЦЕНОПОПУЛЯЦИЙ CREPIS PURPUREA (WILLD.) M. BIEB. В КРЫМУ

The study is devoted to ontomorphogenesis and the structure of cоenopopulations of the rare species Crepis purpurea (Willd.) M. Bieb., protected by the Red Data Book of Sevastopol, the Republic of Crimea, Turkey and I Appendix of the Berne Convention. The duration, morphological and anatomical features of the age states in the pregenerative, generative and senile periods of C. purpurea ontogenesis are established. The total duration of ontogenesis is 5–6 years, which includes 4 ontogenetic periods and 9 age states. C. purpurea is characterized by the structural type of polyvariance with the formation of 3 ontobiomorphic variants: individuals with one-, two-, or many-headed caudex. The features and the period of the onset of anatomical partition in the shoot part caudex were revealed. Germination of C. purpurea seeds was determined. The ontogenetic, vitality and spatial structure of 11 Crimean cоenopopulations of C. purpurea were carried out. The lack of the pregenerative and senile individuals fractions is observed in coenopopulations. The basic ontogenetic spectrum of the studied populations is bimodal with a peak on virgin and mature generative individuals. The indices of renewability, generativeness, aging, the general age of the population, as well as the age indices of A. A. Uranov and the efficiency of L. A. Zhivotovsky were calculated for each population. In the vital structures there is a dynamic on the increase in the values of the index of vital quality of populations from the eastern foothills to the western foothills and further – to the mountain plateaus variants of populations. It was established that individuals of C. purpurea have a tendency to tend to a group type of distribution in the population. The data on areas of coenopopulations, the number and density of individuals of C. purpurea in the studied communities are presented.

Cholinergic modulation of hierarchical inhibitory control over cortical resting state dynamics: Local circuit modeling of schizophrenia-related hypofrontality

Nicotinic acetylcholine receptors (nAChRs) modulate the cholinergic drive to a hierarchy of inhibitory neurons in the superficial layers of the PFC, critical to cognitive processes. It has been shown that genetic deletions of the various types of nAChRs impact the properties of ultra-slow transitions between high and low PFC activity states in mice during quiet wakefulness. The impact characteristics depend on specific interneuron populations expressing the manipulated receptor subtype. In addition, recent data indicate that a genetic mutation of the α5 nAChR subunit, located on vasoactive intestinal polypeptide (VIP) inhibitory neurons, the rs16969968 single nucleotide polymorphism (α5 SNP), plays a key role in the hypofrontality observed in schizophrenia patients carrying the SNP. Data also indicate that chronic nicotine application to α5 SNP mice relieves the hypofrontality. We developed a computational model to show that the activity patterns recorded in the genetically modified mice can be explained by changes in the dynamics of the local PFC circuit. Notably, our model shows that these altered PFC circuit dynamics are due to changes in the stability structure of the activity states. We identify how this stability structure is differentially modulated by cholinergic inputs to the parvalbumin (PV), somatostatin (SOM) or the VIP inhibitory populations. Our model uncovers that a change in amplitude, but not duration of the high activity states can account for the lowered pyramidal (PYR) population firing rates recorded in α5 SNP mice. We demonstrate how nicotine-induced desensitization and upregulation of the β2 nAChRs located on SOM interneurons, as opposed to the activation of α5 nAChRs located on VIP interneurons, is sufficient to explain the nicotine-induced activity normalization in α5 SNP mice. The model further implies that subsequent nicotine withdrawal may exacerbate the hypofrontality over and beyond one caused by the SNP mutation.

The midcingulate cortex and temporal integration.

The ability to integrate information across time at multiple timescales is a vital element of adaptive behavior, because it provides the capacity to link events separated in time, extract useful information from previous events and actions, and to construct plans for behavior over time. Here we make the argument that this information integration capacity is a central function of the midcingulate cortex (MCC), by reviewing the anatomical, intrinsic network, neurophysiological, and behavioral properties of MCC. The MCC is the region of the medial wall situated dorsal to the corpus callosum and sometimes referred to as dACC. It is positioned within the densely connected core network of the primate brain, with a rich diversity of cognitive, somatomotor and autonomic connections. Furthermore, the MCC shows strong local network inhibition which appears to control the metastability of the region-an established feature of many cortical networks in which the neural dynamics move through a series of quasi-stationary states. We propose that the strong local inhibition in MCC leads to particularly long dynamic state durations, and so less frequent transitions. Apparently as a result of these anatomical features and synaptic and ionic determinants, the MCC cells display the longest neuronal timescales among a range of recorded cortical areas. We conclude that the anatomical position, intrinsic properties, and local network interactions of MCC make it a uniquely positioned cortical area to perform the integration of diverse information over time that is necessary for behavioral adaptation.

Research on Modeling of Vocal State Duration Based on Spectrogram Analysis

In the early stage of vocal music education, students generally do not understand the structure of the human body, and have doubts about how to pronounce their voices scientifically. However, with the continuous development of computers, computer technology has become more and more developed, and computer processing speed has been greatly increased, which provides favorable conditions for the development of the application of vocal spectrum analysis technology in vocal music teaching. In this paper, we first study the GMM-SVM and DBN, and combine them to extract the deep Gaussian super vector DGS, and further construct the feature DGCS on the basis of DGS; then we study the convolutional neural network (CNN), which has achieved great success in the image recognition task in recent years, and design a CNN model to extract the deep fusion features of vocal music. The experimental simulations show that the CNN fusion-based speaker recognition system achieves very good results in terms of recognition rate.

Brainwave entrainment through external sensory stimulus: a therapy for insomnia

Objective: To use Brainwave Entrainment through External sensory stimulus to treat Insomnia. Background: Insomnia is a condition that makes disorderness in the sleep. It plays a significant role in normal, pathological and psychiatric subjects. Most of the times, inducing sleep either through hypnotics or through sedative medicines are commonly adopted for treating sleeplessness. Brainwave Entrainment is an alternative procedure that modulates neural activities by synchronizing brainwave frequency with that of stimuli (Shusheng et al., 2016). Design/Methods: In this work audio, visual and haptic stimuli are used to improve overall sleep quality for insomnia subjects. Two audio signals at different frequencies were given to left and right ears. The results in binaural beat signal in delta band. Visual input is also given to two eyes through eye-mask to block the entry of external light. Automated system is developed to give pressure at HT-7 with time and pressure control. This therapy is self-administered by the TEST Group (who are diagnosed for insomnia) for a brief period on regular pace. Brain signals are acquired before and after therapy to understand the influence of AVE. Subjects who are not into insomnia (CONTROLs) are also studied for sleep pattern to make baseline comparison. Results: By analyzing power spectrum of these signals, results demonstrate that average delta signal power increases by 10% becoming at par with the CONTROLs. The test responses are also statistically analyzed using Cohen’s d value. The obtained results demonstrate impact of this therapy as significant changes in quality of sleep. Also, insomnia subjects who are not into oral medicine shows better response, in the sense their rhythmic changes became almost similar to that of CONTROLs with marked increase in REM state duration, reaching 20% of full sleep time, a normally recommended value. Conclusions: Brainwave entertainment through external sensory stimulus is very beneficial to treat insomnia soon after the diagnosis. Disclosure: Dr. Srinivasan has nothing to disclose. Dr. E has nothing to disclose. Dr. Venkatesan has nothing to disclose. Dr. R has nothing to disclose.

A Probabilistic Model to Predict Household Occupancy Profiles for Home Energy Management Applications

Due to the impact of human lifestyle on building energy consumption, the development of occupants' behavior models is crucial for energy-saving purposes. In this regard, occupancy modeling is an effective approach to intend such a purpose. However, the literature reveals that existing occupancy models have limitations related to the representation of occupancy state duration and the integration of occupancy variability among individuals. Accordingly, this paper proposes an explicit differentiated duration probabilistic model to generate realistic daily occupancy profiles in residential buildings. The discrete-time Markov chain theory and the semi-parametric Cox proportional hazards model (Cox regression) are used to predict household occupancy profiles. The proposed model is able to capture occupancy states duration and integrate human behavior variability according to individuals' characteristics. Moreover, a parametric analysis is employed to investigate these characteristics' impact on the model performance and consequently, select the most significant input variables. A validation process is conducted by comparing the model performance with that of previous methods, presented in the literature. For this purpose, the k crossvalidation technique is utilized. Validation results demonstrate that the proposed approach is highly efficient in generating realistic household occupancy profiles.

Brainwave entrainment through external sensory stimulus: a therapy for insomnia

In this work audio, visual and haptic stimuli are used to improve overall sleep quality for insomnia. Audio signals at different frequencies are given to two ears and visual input to two eyes with eye-mask to prevent external light. Automated system is developed to give pressure at HT-7 with time and pressure control. It is self-administered and brain signals are acquired before and after therapy. Subjects who are not into insomnia (CONTROLs) are studied for sleep pattern to make baseline comparison. Delta power increases by 10% after the therapy in test group, becoming at par with CONTROLs. The statistical measure Cohen's d value indicates insomnia subjects who are not into oral medicine shows better response, in the sense their rhythmic changes became almost similar to that of CONTROLs with marked increase in REM state duration. Thus, this being a drug-free therapy could be useful to treat insomnia soon after diagnosis.

Tolerance to Anhydrobiotic Conditions Among Two Coexisting Tardigrade Species Differing in Life Strategies.

Water availability is one of the most important factors for terrestrial life. Terrestrial habitats may periodically become dry, which can be overcome by an organism's capability to undergo anhydrobiosis. In animals, this phenomenon has been reported for invertebrates, with tardigrades being the best-known. However, different tardigrade species appear to significantly differ in their anhydrobiotic abilities. While several studies have addressed this issue, established experimental protocols for tardigrade dehydration differ both within and among species, leading to ambiguous results. Therefore, we apply unified conditions to estimate intra-and interspecies differences in anhydrobiosis ability reflected by the return to active life. We analysed Milnesium inceptum and Ramazzottius subanomalus representing predatory and herbivorous species, respectively, and often co-occur in the same habitat. The results indicated that the carnivorous Mil. inceptum displays better anhydrobiosis survivability than the herbivorous Ram. subanomalus. This tendency to some degree coincides with the time of "waking up" since Mil. inceptum showed first movements and full activity of any first individual later than Ram. subanomalus. The movements of all individuals were however observed to be faster for Mil. inceptum. Differences between the experimental groups varying in anhydrobiosis length were also observed: the longer tun state duration, the more time was necessary to return to activity.

Monitoring of bearing fatigue life based on hidden Markov model

With the increase in the intelligence of the production process and the increase in reliability requirements, the monitoring of the bearing life status after the event has been unable to meet the needs of industrial production. Performance degradation assessment and life monitoring have attracted more attention as intelligent methods based on condition maintenance. Hidden Markov model is a statistical probability model based on time series, which is very suitable for modeling the performance degradation process of equipment. Therefore, this paper proposes a life monitoring algorithm based on hidden Markov model. First, the continuous wavelet transform is introduced to obtain the optimal value of the shape factor or the stretch factor. Secondly, a hidden Markov model of multi-channel information fusion is proposed. The algorithm significantly improves the effectiveness and robustness of life monitoring. The hidden Markov model explicitly expresses the state duration distribution, making the model more suitable for life monitoring.