Separable Space Research Articles

A Flexible Pressure Sensor with a Mesh Structure Formed by Lost Hair for Human Epidermal Pulse Wave Monitoring

Flexible pressure sensors with the capability of monitoring human vital signs show broad application prospects in personalized healthcare. In this work, a hair-based flexible pressure sensor (HBPS) consisting of lost hair and polymer films was proposed for the continuous monitoring of the human epidermal arterial pulse waveform. A macroscale mesh structure formed by lost hair provides a simplified spacer that endows the triboelectric-based flexible pressure sensor with sufficient contact-separation space. Based on this mesh structure design, the hair-based flexible pressure sensor can respond to the slight pressure change caused by an object with 5 mg weight and hold a stable output voltage under 1-30 Hz external pressure excitation. Additionally, the hair-based flexible pressure sensor showed great sensitivity (0.9 V/kPa) and decent stability after 4500 cycles of operation. Given these compelling features, the HBPS can successfully measure the human epidermal arterial pulses with obvious details at different arteries. The proposed HBPS can also be used to monitor the pulse signals of different subjects. Furthermore, the three different pulse wave transmission time (PTT) values (PTT-foot, PTT-middle, and PTT-peak) can be obtained by simultaneously monitoring human pulse and electrocardiogram signals, which has enormous application potential for assessing cardiovascular system health.

A multidimensional chromatography/high-resolution mass spectrometry approach for the in-depth metabolites characterization of two Astragalus species

To address the chemical complexity is indispensable in a number of research fields. Herb metabolome is typically composed by more than one class of structure analogs produced via different biosynthetic pathways. Multidimensional chromatography (MDC), due to the greatly enhanced separation space, offers the potential solution to comprehensive characterization of herbal metabolites. Here, we presented a strategy, by integrating MDC and quadrupole time-of-flight mass spectrometry (QTOF-MS), to accomplish the in-depth herbal metabolites characterization. Using the metabolome of two Astragalus species (A. membranaceus var. mongholicus,AMM; A. membranaceus, AM) as the case, an off-line three-dimensional liquid chromatography (3D-LC) system was established: hydrophilic interaction chromatography using an XAmide column as the first dimension (1D) for fractionating the total extract, on-line reversed-phase × reversed-phase liquid chromatography separately configuring a CSH Fluoro-Phenyl column and a Cosmocore C18 column as the second dimension (2D) and the third dimension (3D) of chromatography to enable the explicit separation of three well fractionated samples. Moreover, the negative-mode collision-induced dissociation by QTOF-MS under the optimized condition could provide diversified fragments that were useful for the structural elucidation of AMM and AM. An in-house library (composed by 247 known compounds) and comparison with 43 reference standards were utilized to assist more reliable characterization. We could characterize 513 compounds from two Astragalus species (344 from AMM and 323 from AM), including 236 flavonoids, 150 triterpenoids, 18 organic acids, and 109 others. Conclusively, the established MDC approach gained excellent performance favoring the analogs-oriented in-depth characterization of herbal metabolites, but received uncompromising analytical efficiency.

Self-Supervised Video Representation and Temporally Adaptive Attention for Audio-Visual Event Localization

Localizing the audio-visual events in video requires a combined judgment of visual and audio components. To integrate multimodal information, existing methods modeled the cross-modal relationships by feeding unimodal features into attention modules. However, these unimodal features are encoded in separate spaces, resulting in a large heterogeneity gap between modalities. Existing attention modules, on the other hand, ignore the temporal asynchrony between vision and hearing when constructing cross-modal connections, which may lead to the misinterpretation of one modality by another. Therefore, this paper aims to improve event localization performance by addressing these two problems and proposes a framework that feeds audio and visual features encoded in the same semantic space into a temporally adaptive attention module. Specifically, we develop a self-supervised representation method to encode features with a smaller heterogeneity gap by matching corresponding semantic cues between synchronized audio and visual signals. Furthermore, we develop a temporally adaptive cross-modal attention based on a weighting method that dynamically channels attention according to the time differences between event-related features. The proposed framework achieves state-of-the-art performance on the public audio-visual event dataset and the experimental results not only show that our self-supervised method can learn more discriminative features but also verify the effectiveness of our strategy for assigning attention.

THE CONCEPT OF THE PUBLIC BUILDINGS SPACE USING FOR TEMPORARY PEOPLE ACCOMMODATION WITH THE CREATION OF PSYCHOLOGICAL COMFORT

Problem statement. The neighboring country's full-scale military aggression against Ukraine has created many humanitarian problems of a catastrophic nature in our country. Of course, such problems arise in any armed conflict involving the occupation of inhabited territories. One of the extreme measures for the protection of the population provided by the legislation is its evacuation from the combat zone. Unfortunately, this measure is now fully implemented in our country. Today, more than 7 million citizens of Ukraine are forced to leave their homes and leave their region of residence. One of the phases of organizing the evacuation of people is primary temporary resettlement and provision of psychological assistance. Taking into account the climatic conditions of Ukraine, a suitable living environment must be used for primary resettlement. The purpose of the article − assessment of the possibility of public buildings space using for temporary accommodation of evacuated people with the creation of relative psychological comfort. Conclusions. One of the key human needs that significantly affects the psychological state is the availability of living conditions. In order to reduce the stress load, during the development of primary accommodation measures, it is necessary to provide for the living of such groups in a separate space. The concept of primary accommodation for evacuees in partitioned compartments using the living space of public buildings is a compromise, but it has two advantages: the use of existing heated rooms with the necessary utilities and the possibility of all-season accommodation and the creation of conditions to reduce the stress on the individual by separating the people closest to them. The concept of public buildings space using for the quick temporary accommodation of a large number of people according to the hub principle is based on the need to take into account climatic conditions and the use of housing with heating and appropriate communications and the possibility of (relatively cheap and fast) installation of partition structures in them that form a separate living space of the “compartment” type.

Bobker, Danielle. The Closet: The Eighteenth-Century Architecture of Intimacy

Bobker, Danielle. <i>The Closet: The Eighteenth-Century Architecture of Intimacy</i>

Trial Enrichment using Siamese Neural Networks and PET imaging

AbstractBackgroundBiomarker‐based patient selection is expected to increase success rates in AD clinical trials (e.g. identifying subjects that are at highest risk of cognitive decline). We present a computationally feasible modelling framework that provides a score for predicted decline based on a model trained through a Siamese Neural Network.MethodIn this proof‐of‐concept study, we use baseline data from the 1469 ADNI subjects (388 control, 798 MCI, 272 AD) with an FDG PET scan. 80% of the data was used to train a Siamese neural network after clustering subjects into ‘stable’ or ‘decline’ through the method of Bhagwat et al (2018), see Figure 1. 20% of the data was left out for testing.The model outputs points in a metric space, indicating likelihood of future decline (measured using 2‐year MMSE change from baseline). The first PCA component of the model metric space is used as a screening criterion (See Fig 2). Subjects below the threshold (screen failure rates of 30% and 50%) are not included in the trial simulation. Sample sizes are estimated assuming a 25% effect size, 95% alpha and 80% power (Fig 3). Enrichment performance of the model is compared with FDG SUVR and baseline MMSE score.ResultThe neural network provides a separable metric space of future declining and stable subjects. ‘Screening’ out 30% and 50% of subjects based on model‐predicted decline resulted in a sample size reduction of 45% and 64% respectively, a 5% and 10% improvement over the enriched FDG SUVR cohort. MMSE score yields marginal enrichment. Saliency analysis showed the model is sensitive to the precuneus, hippocampus, temporal lobe and cerebellum.ConclusionDeep learning models enable automated trial enrichment strategies, instead of handcrafted features and centralised processing. The saliency analysis shows that the nonlinear framework has identified the relevant regions for the pathology, providing additional support to their use. More work is needed to assess the ability of the developed method to capture multi‐modal biomarker (e.g. Amyloid, Tau, Neurodegeneration) data to obtain a more precise prediction of decline and to assess the trial operational and economic impact of the proposed screening process.

МАКРОАРЕАЛЬНІ МАРКЕРИ ОБРЯДОВО-ПІСЕННИХ ТРАДИЦІЙ ГАЛИЧИНИ Й КАРПАТІЇ

The article examines a number of melo-typological features that appeared on the melogeographic maps of Ukraine as factors of the separation of the southwestern seg- ment of the Ukrainian ethnic territory (UET). This segment is delineated in the article with the conventional name ‹Carpathian-Galician Melomassif› (KGM). The criteria for distinguishing KGM became ritual melodies, the age of which is considered quite respectable – there are indirect evidences of the pre-Christian origin of many types of song compositions (meloforms, defined primarily by their rhythmic patterns and corresponding verse (syllabic) formulas). In fact, their areas, which ap- peared during the mapping of numerous large arrays of songs, are evidence of them – after all, these areas are partially correlated with archaeological cultures of distant times (from the beginning of the 1st millennium AD), so this direction of research can be described by the expression “musical archeology”. About 60,000 recordings of ritual melodies of Ukrainians and neighboring ethnic groups (Belarusians, Poles, Lithuanians) were used to build the maps. 132 maps were published as a separate Atlas (Klymenko, I., Ritual Melodies of the Ukrainians in the Context of the Slavic- Baltic Early Traditional Melomassif: Typology and Geography. Kyiv, 2020. Vol. 2: Atlas. 100 pp. + DVD. https://knmau.com.ua/wp-content/uploads/klymenko-dyser- tatsiya-2.pdf). The zone ‹Galicia + Carpathia› is distinguished as a separate ritual-song space according to two types of parameters: positive (А) and negative (B). These are the following positions: А1 – meloforms with truly “Galician” arrays (individual types of winter songs (with a spondeic base ‹V*44; Р43 43 ›); a macrogroup of spring melodies with a ‹V446› base; Easter (ranciuvalni) songs; birth (christening) songs of various types); A2 – meloforms with arrays that go beyond the boundaries of the zone ‹Galicia + Carpathia›, but in the Galician repertoire they are statistically dominant, so the KGM territory can be considered their core (carols with verse bases ‹V*443›, ‹V553›, shchedrivky-melankuvannia ‹V*442 ›; wedding, spring and harvest with a base ‹V7›; numerous game spring songs of the «character» type and other melo-forms); A3 – meloforms with very large polyethnic arrays, which within the KGM limits have distinctive typological or areal «behavior» (winter songs of the ‹V55,р4› macro- family; wedding macrotype of the ‹V*53› model); A4 – specific techniques of rhythmic and compositional variation, specific to the KGM sector (the technique of adding the syllables; the technique of duplicating small syllabic groups); B – «negative» markers: the absence in Galicia and the Carpathians of certain genres and meloforms characteristic of the neighboring regions – Central and Eastern Podillia and Volyn (Kupalo rites and songs; several forms of wedding songs, in par- ticular, songs of the tirade type). On the other hand, a series of melotypological factors have been established that show the belonging of the KGM zone to the great “cultural continent of the Ukrainian Right Bank” – these are markers of group C (shedrivkas ‹V442 › with an ascending Ionic figure; spring songs with bases ‹V*442 ›, ‹V4332 ›; harvest and wedding songs with the base ‹V7› and other meloforms). 121 In advance, we can say that “separation” factors (markers of groups A and B) look more powerful than integration factors (markers of group C). The “separation” line of the KGM zone in the east passes between the Seret and Zbruch rivers, in the north – along the line below Gorokhiv (Sokal – Radekhiv – Ikva river), in the west and south – almost coincides with the corresponding borders of the UET. The maps also show significant differences within the specified region, which allow the following sectors to be separated in KGM: (a) the mountain part of the Carpathians: their northern slopes and the foothills; (b) southern slopes of the Carpathians (Transcarpathia); (c) the upper Dniester zone; (d) sector of the right bank of the Dniester (to the watershed with the Western Bug and Prypiat basins). Keywords: musical folklore of Ukrainians, Carpathians, Galicia, ritual melodies, modeling of musical forms, melotypology, morphology, mapping, arrays of ancient cultures, musical archeology.

전통 판소리의 공연학적 역사와 전망

In modern pansori, various experiments are being made on the existing traditional pansori, and many new creations of pansori are being made. However, traditional pansori also has historically undergone continuous changes and experiments. In this regard, this study was intended to suggest the point where the traditional pansori has changed and the tasks to be positively improved by the pansori of our time.&#x0D; First, the performance aspects of traditional pansori were analyzed in a visual dimension. This study examines how pansori performances have changed from the mid-19th century to modern pansori. In the 19th century, in the yard, a singer performed wearing a hat on an applicator, and held a white or red fan. The drummer used a relatively large drum, and the tip of the drumstick was round. At the end of the 19th century, in Kim Jun-geun's paintings, it can be seen that the performance space for pansori has changed into a room or an indoor space. The singer performed with the master, but did not organize a separate space, and the drum and drummer of the master was changed to a shape similar to that of modern times. In the early 20th century, the stage of pansori during the Japanese colonial period was transformed into a theater. The traditional attire of the singer and the master was sometimes simplified with a bob and a duruma. In particular, female singers changed from wearing a white hanbok with their indigo hair to gradually wearing a splendid hanbok. As the intangible cultural heritage system began after the 20th century, pansori centered on human cultural assets was mainly performed on stage under the technical influence of microphones and lighting. It can be said that the musicality of pansori has gradually become highly sophisticated amid these changes in performance space and media.&#x0D; While traditional pansori could be changed over time without losing its typicality, there were also parts that lost the essence of 'pan'. This is the weakening of storytelling or polarity, and in this regard, the development direction of traditional pansori was suggested in three areas. First of all, I heard that aniri(아니리) and wit should be strengthened to restore the storytelling of pansori. Next, it was argued that the spirit of the times should be contained through the creation and reconstruction of a new lyric(더늠). Finally, it was suggested that the dramatic aspect of pansori should be established through the expansion of neoreumsae(너름새) and reinforcement of acting.

Religious accommodation, agonism, agnosticism in healthcare: A commentary on Joshua Hordern, 'Accommodating religion and belief in healthcare: Political threats, agonistic democracy and established religion'.

Religious accommodation, agonism, agnosticism in healthcare: A commentary on Joshua Hordern, 'Accommodating religion and belief in healthcare: Political threats, agonistic democracy and established religion'.

Analysis of Overburden Deformation and Migration under Huge Thick Unconsolidated Layers Based on Multiple Approaches

Underground mining safety risk increases with the more complicated geological conditions in deep strata, so coal mines turn to the upper limit mining of shallow coal seams under the Cenozoic strata. Nevertheless, coal mines in the Northern China coalfield are mainly covered by thicker loose sandy layers with more abundant water. The analysis of overburdened strata deformation properties is essential for safe, efficient, and environmentally friendly production. This paper discusses the deformation and migration of overburdened strata through mechanical analysis, numerical and physical similar simulations, and in situ field measurement. A thorough understanding of overburdened strata deformation induced by mining has been obtained, and the results are as follows: The immediate roof first collapses to form the caved zone accompanied by the first weighting, and the fractured zone and bending deformation zone begin to develop in sequence; the separation layer is observed during the period of fracture development. However, the occurrence of the bending deformation subsidence results in the closure of the separation space; the ratio of fractured and mining height is quantified to 14.4:1.0 by the comparative analysis. The results may serve as technical evidence to support the mining safety of the study area and other coal mines with similar geological conditions.

Online-Rhetorik

Abstract When facing an audience instead of a single listener, students of public speaking encounter challenges that stem from differences in space. A larger space results in greater distance from the audience, and the need to fill a large room requires adaptation of posture, volume, dialogical elements, etc. When speaking online, however, there is no common space that is shared with the audience. The speaker addresses the listeners, wherever they are, from his or her own place. The main task is to connect these two or more separate spaces. This paper shows how this can be achieved using the verbal and visual tools available to teachers, bloggers and other non-professional speakers. It will be shown that spaces can only be connected if the speaker’s room is carefully designed, and details of the communication process cannot be misinterpreted.

Prediction and prevention of mining-induced water inrush from rock strata separation space by 3D similarity simulation testing: a case study of Yuan Zigou coal mine, China

Prediction and prevention of mining-induced water inrush from rock strata separation space by 3D similarity simulation testing: a case study of Yuan Zigou coal mine, China

Investigation of microencapsulate phase change material-based energy pile group: Energy analysis and optimization design

Energy piles have attracted increasing interest for bearing structural loads and providing energy for space conditioning by employing geothermal energy from a ground source heat pump system. Although energy piles have demonstrated promise for geothermal energy exploitation, the insufficient energy supply resulting from geotechnical design prohibits their broad deployment. To address the incompetency of energy piles, we propose an innovative design of high-energy efficiency energy pile group by incorporating microencapsulated Phase Change Material (microPCM) into energy piles. With experimental measurement and numerical simulation, a systematic evaluation of the microPCM energy pile group is carried out, from property characterization to energy performance analysis. In addition, the influences of GHE configurations (U shape, W shape, and double U shape) and microPCM addition ratios on energy-saving potential and optimal design of the microPCM energy pile group in cooling mode are investigated. The results reveal the great potential of adding microPCM to facilitate more energy extraction for the energy pile group. However, because the addition of microPCM degrades the compressive strength of the energy pile, it is recommended to increase the concrete design grade when employing microPCM energy piles in engineering practice. In addition, the energy pile with double U shape GHE and 1% wt. microPCM addition is identified as the optimal design in the study, which contributes to 6–49% more energy extraction with a tolerable loss in compressive strength. Meanwhile, the separation spacing between adjacent piles should be greater than 3D to prevent thermal interactions and ensure stable energy performance. This study aims to provide support for the optimal design of the microPCM energy pile group and guide its engineering application.

Separable Lindenstrauss spaces whose duals do not contain weak* closed convex unbounded sets having the AFPP

Separable Lindenstrauss spaces whose duals do not contain weak* closed convex unbounded sets having the AFPP

UniSKGRep: A unified representation learning framework of social network and knowledge graph

The human-oriented applications aim to exploit behaviors of people, which impose challenges on user modeling of integrating social network (SN) with knowledge graph (KG), and jointly analyzing two types of graph data. However, existing graph representation learning methods merely represent one of two graphs alone, and hence are unable to comprehensively consider features of both SN and KG with profiling the correlation between them, resulting in unsatisfied performance in downstream tasks. Considering the diverse gap of features and the difficulty of associating of the two graph data, we introduce a Unified Social Knowledge Graph Representation learning framework (UniSKGRep), with the goal to leverage the multi-view information inherent in the SN and KG for improving the downstream tasks of user modeling. To the best of our knowledge, we are the first to present a unified representation learning framework for SN and KG. Concretely, the SN and KG are organized as the Social Knowledge Graph (SKG), a unified representation of SN and KG. For the representation learning of SKG, first, two separate encoders in the Intra-graph model capture both the social-view and knowledge-view in two embedding spaces, respectively. Then the Inter-graph model is learned to associate the two separate spaces via bridging the semantics of overlapping node pairs. In addition, the overlapping node enhancement module is designed to effectively align two spaces with the consideration of a relatively small number of overlapping nodes. The two spaces are gradually unified by continuously iterating the joint training procedure. Extensive experiments on two real-world SKG datasets have proved the effectiveness of UniSKGRep in yielding general and substantial performance improvement compared with the strong baselines in various downstream tasks.

Strong couplings for static locally tree-like random graphs

AbstractWe provide a general purpose result for the coupling of exploration processes of random graphs, both undirected and directed, with their local weak limits when this limit is a marked Galton–Watson process. This class includes in particular the configuration model and the family of inhomogeneous random graphs with rank-1 kernel. Vertices in the graph are allowed to have attributes on a general separable metric space and can potentially influence the construction of the graph itself. The coupling holds for any fixed depth of a breadth-first exploration process.

ANALISIS DISIPLIN KERJA PEGAWAI DAN LINGKUNGAN KERJA KANTOR KEPALA DESA BANJARSARI KECAMATAN CIAWI KABUPATEN BOGOR

The purpose of this study was to analyze and determine the Work Discipline and Work Environment. The data collection used is data obtained from interviews with Village Heads, Employees and the Community. The results of this study indicate that the work discipline of employees and the work environment of the Head Office of Banjarsari Village, Ciawi District, Bogor Regency is not good. This can be seen from the still existence of work discipline violations including there are several Banjarsari Village Head Office employees who come not according to the schedule. has been determined, some sometimes go home from work but have not arrived at the specified schedule, Not all employees carry out whatever the work rules are, some there are also employees who have not followed because the employee still has not applied his discipline such as being late for work, there are some The employees I saw wore sandals when there was no work or no residents came to take care of files. While the work environment is characterized by the presence of disturbing noise in the workplace and the room for government and service divisions is quite narrow because the workplace is combined and does not have a separate work space and the layout of the room and work desk is not in accordance with what is needed to support the work.

Vietoris thickenings and complexes have isomorphic homotopy groups

We study the relationship between metric thickenings and simplicial complexes associated to coverings of metric spaces. Let \({\mathcal {U}}\) be a cover of a separable metric space X by open sets with a uniform diameter bound. The Vietoris complex \({\mathcal {V}}({\mathcal {U}})\) contains all simplices with vertex set contained in some \(U \in {\mathcal {U}}\), and the Vietoris metric thickening \({\mathcal {V}}^\textrm{m}({\mathcal {U}})\) is the space of probability measures with support in some \(U \in {\mathcal {U}}\), equipped with an optimal transport metric. We show that \({\mathcal {V}}^\textrm{m}({\mathcal {U}})\) and \({\mathcal {V}}({\mathcal {U}})\) have isomorphic homotopy groups in all dimensions. In particular, by choosing the cover \({\mathcal {U}}\) appropriately, we get isomorphisms between the homotopy groups of Vietoris–Rips metric thickenings and simplicial complexes \(\pi _k(\textrm{VR}^\textrm{m}(X;r))\cong \pi _k(\textrm{VR}(X;r))\) for all integers \(k\ge 0\), where both spaces are defined using the convention “diameter \(< r\)” (instead of \(\le r\)). Similarly, we get isomorphisms between the homotopy groups of Čech metric thickenings and simplicial complexes \(\pi _k(\check{\mathrm {{C}}}^\textrm{m}(X;r))\cong \pi _k(\check{\mathrm {{C}}}(X;r))\) for all integers \(k\ge 0\), where both spaces are defined using open balls (instead of closed balls).

The superiorization method with restarted perturbations for split minimization problems with an application to radiotherapy treatment planning

In this paper we study the split minimization problem that consists of two constrained minimization problems in two separate spaces that are connected via a linear operator that maps one space into the other. To handle the data of such a problem we develop a superiorization approach that can reach a feasible point with reduced (not necessarily minimal) objective function values. The superiorization methodology is based on interlacing the iterative steps of two separate and independent iterative processes by perturbing the iterates of one process according to the steps dictated by the other process. We include in our developed method two novel elements. The first one is the permission to restart the perturbations in the superiorized algorithm which results in a significant acceleration and increases the computational efficiency. The second element is the ability to independently superiorize subvectors. This caters to the needs of real-world applications, as demonstrated here for a problem in intensity-modulated radiation therapy treatment planning.

Learning From Imbalanced Data With Deep Density Hybrid Sampling

Learning from imbalanced data is an important and challenging topic in machine learning. Many works have devised methods to cope with imbalanced data, but most methods only consider minority or majority classes without considering the relationship between the two classes. In addition, many synthetic minority oversampling technique-based methods generate synthetic samples from the original feature space and use the Euclidean distance to search for the nearest neighbors. However, the Euclidean distance is not a precise distance metric in a high-dimensional space. This article proposes a novel method, called deep density hybrid sampling (DDHS), to address imbalanced data problems. The proposed method learns an embedding network to project the data samples into a low-dimensional separable latent space. The goal is to preserve class proximity during data projection, and we use within-class and between-class concepts to devise loss functions. We propose to use density as a criterion to select minority and majority samples. Subsequently, we apply a feature-level approach to the selected minority samples and generate diverse and valid synthetic samples for the minority class. This work conducts extensive experiments to assess our proposed method and compare it with several methods. The experimental results show that the proposed method can yield promising and stable results. The proposed method is a data-level algorithm, and we combine the proposed method with the boosting technique to develop a method called DDHS-boosting. We compare DDHS-boosting with several ensemble methods, and DDHS-boosting shows promising results.