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The brain requires diverse segregated and integrated processing to perform normal functions in terms of anatomical structure and self-organized dynamics with critical features, but the fundamental relationships between the complex structural connectome, critical state, and functional diversity remain unknown. Herein, we extend the eigenmode analysis to investigate the joint contribution of hierarchical modular structural organization and critical state to brain functional diversity. We show that the structural modes inherent to the hierarchical modular structural connectome allow a nested functional segregation and integration across multiple spatiotemporal scales. The real brain hierarchical modular organization provides large structural capacity for diverse functional interactions, which are generated by sequentially activating and recruiting the hierarchical connectome modes, and the critical state can best explore the capacity to maximize the functional diversity. Our results reveal structural and dynamical mechanisms that jointly support a balanced segregated and integrated brain processing with diverse functional interactions, and they also shed light on dysfunctional segregation and integration in neurodegenerative diseases and neuropsychiatric disorders.

Background: Radiofrequency Echographic Multi Spectrometry (REMS) is an innovative echographic technology able to provide the most important densitometric parameters by a fully automatic approach. Its high accuracy with respect to the conventional Dual X-ray absorptiometry (DXA) has been shown in a very recently published multicenter clinical trial [1]. Objectives: To evaluate the performance of the REMS technology in osteoporosis diagnosis, with respect to DXA(Clinical Gold Standard), when applied on femoral neck. Methods: DXA and REMS acquisitions were performed on the femoral neck in 324 female patients, aged between 51 and 70 year, recruited at the Department of Internal Medicine of the Hospital del Mar (Barcelona, Spain). REMS technology is based on a automatic integrated processing of the native unfiltered “raw” (RF) signals, which can be employed to assess the bone health status through comparisons with reference spectral models previously derived from osteoporotic and healthy patients. The data shown have been obtained in the strictest adherence to manufacturer’s procedures and indications. REMS accuracy was assessed by investigating its discriminating ability between osteoporotic and non-osteoporotic patients and by evaluating the correlation between REMS and DXA measurements. Results: The REMS approach is effectively able to discriminate between osteoporotic and non-osteoporotic patients with a sensitivity equal to 93% and a specificity equal to 95%. These data are further emphasized by the obtained Pearson Correlation value (r = 0.90; p Conclusion: In conclusion, REMS technology has proven to be an accurate non-ionizing approach to detect osteoporosis disease at the femoral neck. The performance of this radiation-free technique opens new perspectives for early diagnosis and screening of osteoporosis in clinical and epidemiological studies. Reference [1] Di Paola et al, Osteop. Int., 2018 Disclosure of Interests: Diana Ovejero Crespo: None declared, Xavier Nogues Speakers bureau: Amgen and Eli Lilly, Adolfo Diez-Perez Speakers bureau: Lilly, Amgen, GSK and UCB

When participants respond to stimuli of two sources, response times (RTs) are often faster when both stimuli are presented together relative to the RTs obtained when presented separately (redundant signals effect [RSE]). Race models and coactivation models can explain the RSE. In race models, separate channels process the two stimulus components, and the faster processing time determines the overall RT. In audiovisual experiments, the RSE is often higher than predicted by race models, and coactivation models have been proposed that assume integrated processing of the two stimuli. Where does coactivation occur? We implemented a go/no-go task with randomly intermixed weak and strong auditory, visual, and audiovisual stimuli. In one experimental session, participants had to respond to strong stimuli and withhold their response to weak stimuli. In the other session, these roles were reversed. Interestingly, coactivation was only observed in the experimental session in which participants had to respond to strong stimuli. If weak stimuli served as targets, results were widely consistent with the race model prediction. The pattern of results contradicts the inverse effectiveness law. We present two models that explain the result in terms of absolute and relative thresholds.

This article, which deals with Technologies for integrated processing of mineral raw materials to produce new generation materials, was compiled in order to identify opportunities to obtain refined petroleum products such as "bitumen" in demand in Cameroon after the destruction of part of the SONARA oil refining company by fire. During our research, we carried out an on-site inspection of the refinery processing equipment and the refinery infrastructure for the purpose of technical expertise, modernization and the potential configuration of bitumen production at the aid for installations and infrastructure at the SONARA oil refinery. As a result of this destruction by fire of a part of the SONARA oil refinery, refining of petroleum and petroleum products is not currently underway. Surviving units are temporarily closed. The production facilities are monitored, visited and examined. The pressure in the containers is checked, Judging by the nature of the debris, especially the piping and processing equipment, it is necessary to completely remove the damaged equipment, build new units and adapt them with the few units saved in order to refine and produce new petroleum products.

In the era of cloud computing and big data, the integrated processing of information and data has become the trend of various industries. College education and teaching management should be actively innovated and optimized, change traditional models and methods, build education and teaching management system, and improve management level. Based on this, this article will analyze the importance of the informatization of education and teaching management in the era of cloud computing and big data, and propose ways to construct the informatization of education and teaching management to help the relevant.

Current in-field methods for grading logs are based on visual rating scales, which are subjective, operator-dependent and time-consuming. Various wood defects such as knots, resin pockets, rot and compression wood, amongst others, affect the quality and potential usage of a log. Early detection of these defects and an adequate wood quality classification help to optimise resource use along the whole production chain. Therefore, the specific target for the development of an efficient in-field grading approach was defined within the project Integrated processing and controL systems fOr sustainable forest Production in mountain areas – SLOPE. The grading is conducted by means of automatic measurements of selected wood properties with diverse sensors, including near infrared (NIR) spectrometers. A series of studies was conducted on wooden discs using laboratory equipment and a portable NIR spectrometer. In-field measurements of standing trees and harvested logs were also performed using a portable instrument. Principal components analysis models for identification of log defects were developed using the spectra collected with both instruments. Such models will serve for the automated determination of quality indexes to be used for log grading. It is foreseen that the NIR-based quality indexes will be integrated with the expert system under development within the SLOPE project and combined with quality information derived from other sensors. The overall goal is to provide a reliable technology for automatic log quality grading in the forest industry.

WOS: 000367776500012, In this study, fungal membrane bioreactor (FMBR) and semiconductor photocatalytic membrane reactor (PMR) were used in order to test the efficiency of integrated fungal biodegradation and photocatalytic degradation of textile wastewater from reactive washing processes. It was found that color removal and chemical oxygen demand (COD) reduction efficiencies were 88% and 53% for photocatalytic degradation, respectively. TiO2 and ZnO were tested as semiconductor catalysts in the PMR and TiO2 showed better efficiencies than ZnO for both color and COD removal. However, it was attained that color removal and COD reduction efficiencies were about 56% and 60% for fungal biodegradation using Phatterochaete chrysosporium, respectively. Moreover, integrated system in which photocatalytic degradation was employed as a post-treatment application after fungal biodegradation process achieved high removal efficiencies for color and COD removal as 93% and 99%, respectively. (C) 2015 Elsevier B.V. All rights reserved., Scientific and Technological Research Council of Turkey (TUBITAK) [113Y334], This work was funded by The Scientific and Technological Research Council of Turkey (TUBITAK), Project No: 113Y334.

A numerically controlled processing machine, integrated over EtherCAT with full local redundancy in the axes- to task-space mapping has been designed and built in a laboratory. The redundancy arises from a set of slow, long-ranging base axes manipulating a set of fast, short-ranging tool axes, which again holds and manipulates the tool. The principle of the machine is time-efficient in manufacturing applications with high task detail and where the tool process is faster than the long-ranging axes. This paper will give an overview of construction of the machine and experimental trajectory planning.

The automated robotic polishing system (ARPS) consisting of several robotic polishing cells (RPCs) is widely adopted in polishing industry to replace manual labor. Recently, energy-saving becomes a hotspot issue in manufacturing industry because of the increase in energy costs and requirement of environmental protection. Traditionally, robot motion planning and task scheduling are carried out separately and sequentially, which constrain the potential for energy-saving. In this paper, a task energy characteristic model is proposed as a polynomial function of the feedrate override to forecast the energy consumption of the polishing process of RPC, in which the designed parameters of the RPC and the polishing process parameters are encapsulated into the polynomial coefficients based on experimental data. Furthermore, an optimization model is proposed for an ARPS with mass tasks to minimize the energy consumption, in which the robot motion planning and the task scheduling are considered integratedly. An adaptive genetic algorithm with elite retention strategy is adopted to solve the optimization model. A case study is introduced to verify the proposed approach, which demonstrates the forecast error of task energy is less than 7%, and the proposed optimization approach can reduce the energy consumption of ARPS by more than 18% compared with the original processing scheme.

Bio economics can use a range of raw materials and use various processes to transform these raw materials into a wide range of different products. Examples of a wide range of commodities, products and processes are given. The present study focuses on developed countries to propose some marketing actions that could help in reducing food waste. The main contribution of this study is the proposal of marketing actions that help in tacking food waste, as one of the main perspective approaches in bioeconomy. The benefits of vegetable and fruit processing in the context of bio economics are generalized. Based on the analysis, a model of waste-free technologies was developed. Considering the advantages of applying the principle of non-waste production, the author's technology of integrated processing of vegetables was developed, taking into account the improvement of existing methods. The main advantages of the proposed method of non-waste processing of vegetables directed to the sustainable consumption identified in the areas: social, economic and natural.

To further improve the operational stability of the substation DC system and realize the lean operation and maintenance, by analyzing the common problems existing in and new requirements of the DC power management, this paper proposes a design scheme for DC power management system. This design scheme is expected to realize the remote intelligent support, avail future extension of the system, realize integrated processing of the equipment management business information of the DC system, and allow mutual communication of the on-site status monitoring information and history record information of the equipment (including defects, inspection and detection test information) so as to jointly provide complete information for daily management and assistant decision-making of the DC system.

International audience; Recent development by European Space Agency (ESA) involved the extension of the interferometric capabilities of the SentiNel Application Platform (SNAP) to enable SAR interferometric time series analysis through the Stanford Method of Persistent Scatterer (StaMPS) software package. In the current work, we demonstrate the enabled Persistent Scatterers Interferometry (PSI) processing of Copernicus Sentinel-1 mission data through SNAP-StaMPS integrated processing. A detailed overview of the processing steps involved as well as considerations and assumptions to exploit the SNAP-StaMPS synergy are presented. We intend to support the Earth Observation community by providing guidelines for Sentinel-1 TOPS data PSI processing using open source software packages. We demonstrate the SNAP functionality by processing two stacks of Sentinel-1 products over Mexico City (Mexico) and Rome (Italy).

Basic features of implementing the modes of operation of a strapdown inertial navigation system (SINS) under polar conditions are considered. The above-mentioned SINS based on fiber-optic gyros has been the subject of our studies. Approaches to the improvement of the accuracy characteristics of such SINS are proposed, which are based on the use of geophysical invariants and on the integrated processing of appropriate observations. The results of field development of the SINS presented in this paper are shown and analyzed.

GNSS timing receiver is widely used in various fields. Unfortunately, it has weak capability of anti-jamming and anti-spoofing, so an integrated processing technique based on joint verification of location and clock offset is proposed. The algorithm is verified by simulation with timing receiver data. Simulation results show that 95% probability of the spherical error of location result can be used as the threshold of the location to detect strong intentional or unintentional jamming signal efficiently. When the location check is passed, the clock offset checking is used to monitor the receiver clock offset anomaly, with processing error less than 0.2 ns. The joint verification of location and clock offset method can greatly improve the robust performance of timing receivers.

A comparison study was carried out for thermal processing times and final product quality in three different modes of retort operation. Still retort simulation, processing with horizontal reciprocating agitation, and ResonantAcoustic® Mixing (RAM) integrated processing were used to process banana puree samples at different °Bx (degree Brix) values (ranging from 16.6 to 41.5). Thermal processing times ranged from 76.6 min to 90.7 min for still retort simulation, from 6.8 min to 76.5 min for processing with horizontal reciprocating agitation, and from 4.3 min to 15.4 min for RAM integrated processing. While a significant amount of reduction in thermal process times (up to 91%) was observed for processing with horizontal reciprocating agitation for banana puree samples with a °Bx value between 16.6 and 29.1, this effectiveness dropped sharply (down to 16%) for samples with higher °Bx values (33.2–41.5). For the RAM integrated processing, the applied mixing technology was found to be effective in reducing the thermal process times and provide high quality post-process products throughout the tested range of product viscosities.

Fusion‐tag affinity chromatography is a key technique in recombinant protein purification. Current methods for protein recovery from mammalian cells are hampered by the need for feed stream clarification. We have developed a method for direct capture using immobilized metal affinity chromatography (IMAC) of hexahistidine (His6) tagged proteins from unclarified mammalian cell feed streams. The process employs radial flow chromatography with 300–500 μm diameter agarose resin beads that allow free passage of cells but capture His‐tagged proteins from the feed stream; circumventing expensive and cumbersome centrifugation and/or filtration steps. The method is exemplified by Chinese Hamster Ovary (CHO) cell expression and subsequent recovery of recombinant His‐tagged carcinoembryonic antigen (CEA); a heavily glycosylated and clinically relevant protein. Despite operating at a high NaCl concentration necessary for IMAC binding, cells remained over 96% viable after passage through the column with host cell proteases and DNA detected at ∼8 U/mL and 2 ng/μL in column flow‐through, respectively. Recovery of His‐tagged CEA from unclarified feed yielded 71% product recovery. This work provides a basis for direct primary capture of fully glycosylated recombinant proteins from unclarified mammalian cell feed streams. Biotechnol. Bioeng. 2016;113: 130–140. © 2015 Wiley Periodicals, Inc.

The high efficiency of complex processing of high-temperature hydrothermal brines with utilization of heat energy in a binary geothermal power plant and subsequent extraction of solved chemical compounds is shown. Promising technological schemes are given, where electric power, which is generated in the binary geothermal power plant, is used in a block to recover chemistry components. The technology for integrated processing of geothermal brines of the chloride-sodium-calcium type is developed, which provides the manufacture not only of marketable products but also of practically overall reagents of processed water that are necessary to realize the technology. Priority areas for development are indicated, and the preliminary estimates for a Berikey geothermal deposit are given. It is shown that only established resources of thermal brines of the Berikey deposit make it possible to produce more than 2000 t of lithium carbonate and, thereby, to completely provide Russian industry requirements for it.

Despite the pressure to reduce costs in the advent of machine translation plus post-editing (PE), many professional translators are reluctant to accept PE jobs, which are perceived as requiring less skill and yielding poorer quality products than human translation (HT). This trend in turn raises an issue in the industry, namely, a lack of post-editors. To meet the growing demand for PE, new populations--such as college language learners--should be assessed as potential post-editor candidates. This paper investigates this possibility through an experiment focusing on college language learners' PE qualifications and resultant performance. Data collected on perceived ease of task, editing quantity, and quality of final product were correlated with the students' course grades. The investigation found that over 74 % of students felt PE to be an easier task than HT, whereas 26 % did not. Those students who did not find PE easier were determined to be unqualified post-editors. Students who received poor grades in a traditional translation course were also confirmed to be unqualified, though A-students were not always qualified post-editors. The variable performance among A-students may be understood in terms of different approaches to PE, characterized as utilizing either analytic or integrated processing. An analysis using this framework tentatively concludes that A-students who apply an analytic approach, more typical of novice translators, may perform better as post-editors than those who take an integrated approach.

Special features of implementing the modes of operation of strapdown inertial navigation system (SINS) under sea application conditions are considered. The above-mentioned SINS based on laser gyros has been the object of our studies. Approaches to the raising of the accuracy characteristics of such SINS are proposed, which are based on the use of geophysical invariants and on the integrated processing of the appropriate observations. The results of natural development of the SINS presented in this paper are given and analyzed.

At present, researches about metal membranes are intensified. Relative to the ceramic and polymeric membranes, metal membranes are advantageous in their mechanical strength, resistance toward high temperature, ease of sealing, and integrated processing. The base materials for metal membranes are metal, whereas the selective materials are made of metal, metal alloys, or metal oxide. Metal membranes are generally classified into dense membrane and porous membranes.

The article describes a new method for integrated processing which combines high-energy heating by high frequency currents (HEH HFC) and abrasive grinding. Research clearly showed that implementation of integrated processing may lead to 2 … 2.5-fold increasing of the processing performance. It was established experimentally that the proposed integrated treatment results in increasing of the microhardness and the level of residual compressive stresses in the surface layer. This increases the contact–fatigue strength of steel parts up to 10% … 16%.

The article presents the theoretical and experimental research findings aimed to create a basis for the development of innovative integrated processing technologies for complex ore and mine waste. It is found that introduction of nonmechanical energy treatment by an accelerated electron beam in the ore dressing circuits increases rebellious mineral processing data. The features of a flotation unit process are analyzed from the viewpoint of improvement of collecting and selecting abilities of a reagent and relationship between these abilities and molecular structure of the reagent. The authors define flotation activity of reagents and offer a flotation contact formation criterion. It is proved to be effective and promising to use magnesium- and manganese-bearing minerals for sorption purification of mine effluents in order to reduce metal loss in the wastewater discharge and to minimize damage of natural water bodies.

Based on typical parts CNC machining technology solutions, using the inverted spindle, high-capacity storage automatic loading and unloading of the workpiece conveyor systems, temperature tracking control system, ladder-shaped bed base and other new technologies. A milling-turning flexible machining cell was researched and developed, which means once the piece was fixed, all the procedures, including turning, milling, drilling, reaming, tapping and other processes integrated processing, can be completed. As an advanced manufacturing mode, it was suitable for the efficient processing of short-sleeve-type parts, panel parts, etc.

Integrated processing of cassava in the household scale cassava chips industry is an effort to optimize each stage of cassava processing and the utilization of by-products arising from the industry to increase the added value of cassava. Cassava is one of the commodities that are often found in rural areas such as in Kasarangan Village, this study aims to determine the size (i) of production costs (ii) revenue (iii) benefits and (iv) business feasibility of cassava chips household business in Kasarangan Village, Labuan Amas District, North, Hulu Sungai Tengah Regency. The results of this study indicate that the business of home industries of cassava chips that were cultivated by entrepreneurs / respondents in this study, the average total cost reached Rp. 22,820,286.00. Average fixed costs reach Rp. 2,228,649.00 / month and the average variable cost reaches Rp. 20,591,636.00 / month. The average revenue is Rp. 54,000,000.00 / month, with an average profit reaching Rp. 31,179,714.00 / month. Based on the data presented, the cassava chips household industry in Kasarangan Village, Labuan Amas District, Hulu Sungai Tengah Regency. With the average RCR value of the business reaching 2.37, it is worth trying

The resource-potential of zeolite-containing raw materials of Eastern Transbaikalia is estimated. The prospects of mining and processing zeolite-bearing rocks in the Priargunsky District of the Transbaikal Region are studied. The geological aspects of mining and processing of zeolite-bearing rocks in Eastern Transbaikalia are considered. The problems of integrated processing of zeolite-containing rocks are discussed. The influence of climate on the stability of natural objects under man-made impact is estimated. The ways of reducing environmental impact of zeolite production are identified.

Cognitive Neuroscience Chimera states occur when complex systems produce coexisting patterns of synchrony and desynchrony. The neurons that make up the human brain form just such an intricate system. Bansal et al. assembled digitized and personalized brain network models based on diffusion spectrum imaging of 30 healthy individuals, which could then be probed by in silico stimulation. More central and more connected regions produced greater synchrony when stimulated in the model, but chimera states were the most prevalent state overall. This pattern is likely due to the need for both segregated and integrated processing in many brain activities. These models captured fundamental patterns related to brain architecture but reveal individual variability, especially with regard to higher cognitive functions. Sci. Adv. 10.1126/sciadv.aau8535 (2019).

For fast reactor design and analysis, our laboratory uses, amongst others, the ERANOS code system. Unfortunately, the publicly available version of ERANOS does not have the most recent nuclear data. Therefore, it was decided to implement an integrated processing system to generate cross sections libraries for the ECCO cell code, as well as covariance data. Cross sections are generated from the original ENDF files. For our purposes, it is important to ascertain that the ECCO cross section libraries are of adequate quality to allow design and analysis of advanced fast reactors in an academic context. In this paper, we present an analysis of the MZA/MZB benchmarks with nuclear data from JENDL-4.0, JEFF-3.1.2 and ENDF/B-VII.1. Results are that reactivity is generally well predicted, with an uncertainty of about 1% due to covariances of the nuclear data. Reaction rate ratios are satisfactorily calculated, as well as the flux spectrum and reaction rate traverses. Some problems remain: the magnitude of the void effect is not satisfactorily calculated, and reaction rate traverses are not always satisfactorily calculated. On the whole, the ECCO libraries are sufficient for design and analysis tasks in an academic context. For high-precision calculations, such as required for licensing tasks and detailed design calculations, data adjustment is still necessary as the “native” covariance data in the ENDF files is not accurate enough.

ALB integration is consisted of anaerobic hydrolysis regulating, anaerobic aerobic reaction, air-lift reflux circulating and suspension clarifying precipitate. It is a new compact energy-saving technology of active sludge nitrogen and phosphorus removal. Its properties include shorter flow path, less land used, lower construction cost, lower operation cost, less discharge sludge, easier management, more reliable operation and so on. It propitious to be used for small-scale sewage treatments.

n-Butanol is an important bulk chemical and a promising potential fuel additive. An alternative way to the chemical production of biobutanol from crude oil is the fermentation of biomass. However, the main drawback of this process is the toxicity of n-butanol towards the microorganisms resulting in a limited productivity. Additionally, high purification costs occur due to an energy-intensive distillation step which is used, up to now, as purification technology for the recovery of n-butanol. Therefore, alternative separation processes are discussed in this study. Extraction and pervaporation are two unit operations with high potential to overcome this problem. Because of their tuneable properties, the use of ionic liquids as extraction solvents for n-butanol recovery is a promising option; however, their economic potential is not obvious because of the relatively high costs. On the basis of those two unit operations, different potential processes to separate biobutanol from water are modelled using experimental data. Cost estimations result in purification costs of €0.230 kg-1 to €0.296 kg-1 n-butanol, which accounts for 20%–27% of the n-butanol market price in 2012.

The automated landing system for unmanned aerial vehicle proposed in this paper is built around a short-range radio navigation system (SRNS) complemented with a MEMS-based strapdown inertial navigation system, laser rangefinder, and air data system. Integrated processing of information from different sensors provides a required accuracy of navigation. This paper considers the accuracy characteristics of the SRNS radio range-finding equipment obtained during the experiments.

The biochemical production of n-butanol by fermentation is an interesting option for the sustainable production of a chemical that can be used as a fuel additive or solvent. However, n-butanol is toxic towards the production organisms, resulting in low concentrations of biobutanol in the aqueous fermentation broth. Therefore, conventional purification by distillation is very energy intensive. Extraction with ionic liquids and pervaporation as alternative separation technologies are two promising options for energy-efficient n-butanol recovery. These processes are analysed on detailed economics, including the influence of the uncertainty of the used model parameters and the sensitivity of the production costs to model parameters and design variables. It is shown that the costs for n-butanol purification by means of distillation are strongly dependent on the costs for thermal energy. For extractive recovery, the solubility of the extraction solvent in the raffinate is one of the main cost drivers as it affects the solvent loss. The costs of the pervaporation-based recovery mainly depend on the price for the membranes and are strongly dependent on the permeate fluxes. For all processes, the feed concentration has a noteworthy effect on the total downstream costs. This study allows not only an analysis of existing technologies but also helps to guide future research.

The article presents basic magnetic characteristics of nine primary concentrates produced from Siberian magnetite ore and a lightly oxidized iron ore and supplied as a feedstock to Abagur enrichment-agglomeration plant. The best magnetic properties belong to the primary concentrate produced from the magnetite ore mined at Abaza, Irba and Kaz deposits; the weakest properties characterize the lightly oxidized ore from Izykh-Gol and Krasnokamensk; the magnetic characteristics are proportional to magnetite content in a primary test specimen. Considering this, the integrated processing of lightly oxidized and magnetite ore is recommended to lower magnetite loss in tailings of Abagur plant.

Large-scale metabolomics studies involving thousands of samples present multiple challenges in data analysis, particularly when an untargeted platform is used. Studies with multiple cohorts and analysis platforms exacerbate existing problems such as peak alignment and normalization. Therefore, there is aneed for robust processing pipelines which can ensure reliable data for statistical analysis. The COMBIBIO project incorporates serum from approximately 8000 individuals, in 3 cohorts, profiled by 6 assays in 2 phases using both 1H-NMR and UPLC-MS. Here we present the COMBI-BIO NMR analysis pipeline and demonstrate its fitness for purpose using representative quality control (QC) samples. NMR spectra were first aligned and normalized. After eliminating interfering signals, outliers identified using Hotelling’s T2 were removed and a cohort/phase adjustment was applied, resulting in two NMR datasets (CPMG and NOESY). Alignment of the NMR data was shown to increase the correlation-based alignment quality measure from 0.319 to 0.391 for CPMG and from 0.536 to 0.586 for NOESY, showing that the improvement was present across both large and small peaks. End-to-end quality assessment of the pipeline was achieved using Hotelling’s T2 distributions. For CPMG spectra, the interquartile range decreased from 1.425 in raw QC data to 0.679 in processed spectra, while the corresponding change for NOESY spectra was from 0.795 to 0.636 indicating an improvement in precision following processing. PCA indicated that gross phase and cohort differences were no longer present. These results illustrate that the pipeline produces robust and reproducible data, successfully addressing the methodological challenges of this large multi-faceted study.

The GC-MS method was adopted to determine the contents of β-myrcene, limonene, menthone, menthofuran, pulegone, β-caryophyllene, 1-octen-3-one and 3-octanone in volatile in Schizonepetae Herba processed by traditional processing and integration processing methods. The efficacies of Schizonepetae Herba with different processing methods were detected based on the inhibition of ear swelling induced by dimethylbenzene in mice. The rationality of the integration processing was expounded based on the comparison of chemical constituents and their pharmacological effects. The results showed that the contents of the eight chemical components in the products processed with the integrated processing method were higher than those processed with the other method. And both of the processing methods could reduce the degree of swelling and the content of TNF-α/IL-1β/IL-6 in mice serum. However, the anti-inflammatory efficacy of the products processed with the integration processing method was superior to that processed with the other method. Compared with the traditional processing method, the integration processing method ensures the quality of decoction pieces, with lower time and labor costs and higher efficiency.

Although it has become routine for experimental groups to apply ChIP-seq technology to quantitatively characterize the genome-wide binding of transcription factors (TFs), computational analysis procedures remain far from standardized, making it difficult to meaningfully compare ChIP-seq results across experiments. In addition, while genome-wide binding patterns must ultimately be determined by local constellations of binding sites in the DNA, current analysis is typically limited to a standard search for enriched motifs in ChIP-seq peaks.Here we present Crunch, a completely automated computational method that performs all ChIP-seq analysis from quality control through read mapping and peak detecting, and integrates comprehensive modeling of the ChIP signal in terms of known and novel binding motifs, quantifying the contribution of each motif, and annotating which combinations of motifs explain each binding peak.Applying Crunch to 128 ChIP-seq datasets from the ENCODE project we find that TFs naturally separate into ‘solitary TFs’, for which a single motif explains the ChIP-peaks, and ‘co-binding TFs’ for which multiple motifs co-occur within peaks. Moreover, for most datasets the motifs that Crunch identifiedde novooutperform known motifs and both the set of co-binding motifs and the top motif of solitary TFs are consistent across experiments and cell lines. Crunch is implemented as a web server (crunch.unibas.ch), enabling standardized analysis of any collection of ChIP-seq datasets by simply uploading raw sequencing data. Results are provided both in a graphical interface and as downloadable files.

The conceptual model of robotic cultivation and integrated processing of mushrooms was designed as a fully automatic installation with a modular structure and multiple workflows, which are compulsory for continuous production of organic fruiting bodies belonging to edible and medicinal mushrooms in fully aseptic conditions, with complete elimination of any human operator along the overall production chain. Starting from the thermo-sterilization of heat-resistant plastic bags filled with nutritive substrates, then going through robotic inoculation with liquid mycelium, and continuing the cultivation flow through mushroom incubation and fruit body formation inside sterilized and inoculated bags, which were placed in special growth rooms (with fully controlled atmosphere and robotic manipulation devices), the biotechnological process was designed to be finished by automatic crop harvesting of mushroom fruit bodies and aseptic removal of bags containing the exhausted substrates used for cultivation.

People treated for bilateral congenital cataracts offer a model to study the influence of visual deprivation in early infancy on visual and multisensory development. We investigated cross-modal integration capabilities in cataract patients using a simple detection task that provided redundant information to two different senses. In both patients and controls, redundancy gains were consistent with coactivation models, indicating an integrated processing of modality-specific information. This finding is in contrast with recent studies showing impaired higher-level multisensory interactions in cataract patients. The present results suggest that basic cross-modal integrative processes for simple short stimuli do not depend on visual and/or crossmodal input since birth.

application/pdf, Movies have existed for over 100 years. But because of the unavoidability of age deterioration caused by the chemical instability of motion picture film, great quantities of valuable footage are being lost. Nitrate film used up to 1950 cannot escape age deterioration. Much of them have been damaged seriously. For these reasons, the digital preservation of motion picture film needs to include digital image processing technology for damage repair to restore images to their original pre-deterioration quality. This paper describes the development of robust and fast processing that is nearly ready for practical application. This was accomplished by integrating noise suppression technology, developed heretofore by us, for the suppression of flicker, blotches, scratches, and frame jitter, the main causes of age-related deterioration. Ordinarily, even if each noise repression process individually exhibits high performance, integrating them tends to result in an inability to maintain original image quality due to the effects of other noise. Our approach, comprising the investigation of the processing order and development of robust individual processes that resist other noise effects, enabled us to create integrated processing with high performance. Through computer simulations using actual movies, we demonstrated high-speed processing capable of real-time computation that delivers high image quality.

3D models of industrial plants are useful for simulating maintenance and renovation. We aim to reconstruct 3D models of components from large-scale point-clouds captured for industrial plants. When an engineering facility is measured by a laser scanner, the location of the scanner is restricted in most cases. We have such problems that the components of the engineering facility can be scanned only from one side and they might be partially occluded by other components. In order to solve the problems, we propose a new method which can process multiple large-scale point data captured from different viewpoints without merging them into a huge data which might not be able to be handled on a computer with a limited main memory size.

By adopting chemical coagulation + efficient sedimentation tank + hydrolysis acidification composite reactor + biological contact oxidation tank + Biological Aerated Filter + adsorption filter integrated processing design, the wastewater from ink production and printing ink application has been treated here. The testing results shown that the effects of the integration treatment process on Ink Wastewater of 500 tons per day are reasonable. The cost of the process is not more than 1.8 Yuan/t, and it can be a better integrated process.

This paper presents an integrated processing technology for the recycling of spent Zn-Mn dry batteries by means of dry-wet method, which combines mechanical decortications and vacuum technique. On the basis of analyzing current research and applications, the characteristics and problems of existing technologies in this field are discussed. Research achievements such as its processing, key techniques and equipment for mechanical decortications are introduced in detail. This technology has many advantages, including higher recovery rate, lower energy consumption, minimum secondary pollution and lower cost for equipment, which is suitable for the purpose of recycling spent batteries in small and medium-sized cities and provides a new option for technicians and researchers in related fields.

This article discusses the feasibility of producing rubidium by the integrated processing of nephelinebearing raw materials. It describes measures that help reduce the amount of rubidium lost with the products that are obtained when nepheline ore is processed by sintering. A flow chart is presented to describe a pyrometallurgical method for processing rubidium hexachlorotellurite to obtain rubidium salts.