Support Conditions Research Articles

Supporting long-term condition management: a workflow framework for the co-development and operationalization of machine learning models using electronic health record data insights

The prevalence of long-term conditions such as cardiovascular disease, chronic obstructive pulmonary disease (COPD), asthma, and diabetes mellitus is rising. These conditions are leading sources of premature mortality, hospital admission, and healthcare expenditure. Machine learning approaches to improve the management of these conditions have been widely explored, with data-driven insights demonstrating the potential to support earlier diagnosis, triage, and treatment selection. The translation of this research into tools used in live clinical practice has however been limited, with many projects lacking clinical involvement and planning beyond the initial model development stage. To support the move toward a more coordinated and collaborative working process from concept to investigative use in a live clinical environment, we present a multistage workflow framework for the co-development and operationalization of machine learning models which use routine clinical data derived from electronic health records. The approach outlined in this framework has been informed by our multidisciplinary team’s experience of co-developing and operationalizing risk prediction models for COPD within NHS Greater Glasgow & Clyde. In this paper, we provide a detailed overview of this framework, alongside a description of the development and operationalization of two of these risk-prediction models as case studies of this approach.

Surrogate PHFGMC micromechanical models for multiscale analysis: AI-enhanced low-velocity impact analysis of hat-stiffened composite panels

The Parametric High-Fidelity Generalized Method of Cells (PHFGMC) has been established as an advanced micromechanical approach well-suited for analyzing the material nonlinearity and failure behavior of diverse periodic composite materials. In order to overcome the prohibitive computational cost of integrating micromechanical models into multiscale structural analyses as constitutive models, a proxy-surrogate modeling approach has been proposed by implementing a reduction modeling approach with deep Artificial Neural Networks (DNNs or ANNs). The PHFGMC-ANN approach has been employed to investigate the low velocity impact (LVI) analyses of hat-stiffened laminated composite panels under impact loading at various locations and energies with two different support conditions. Subsequent analysis of stiffened panels under compression loading has been conducted to understand the failure behavior of impacted panels. Further investigation was conducted into the separation between the skin and the stiffener, focusing on a single hat-stiffened coupon subjected to LVI. The analysis results have been compared against the experimental tests, and the comparison of interlaminar delamination has been used to demonstrate the efficacy of the new framework in integrating refined nonlinear micromechanical models within a multiscale analysis.

Persuasive design principle of social support in digital interventions targeting mental health symptoms: a systematic review and meta-analysis

ObjectiveThis systematic review and meta-analysis evaluates the available evidence on efficacy of social support strategies, as defined by the persuasive system design framework, in internet-based and mobile-based interventions (IMI) targeting...

Resource supply and demand model of military settlements in the cold weapon era: case of Zhenbao Town, Ming Great Wall

As an important military defense project in Chinese history, the Ming Dynasty Great Wall and its associated military settlements played a crucial role in maintaining border security. A systematic analysis of how military settlements allocated resources based on external threats and geo-strategic needs is essential to understanding their settlements defense systems. However, this aspect has been relatively under-explored in existing research. Therefore, a resource allocation assessment model for Great Wall military settlements during the Cold Weapon era is established to facilitate a more scientific analysis and quantitative assessment of Military Defense Capabilities(MDC) and Military Requirements(MR). This study employs a combined Analytical Hierarchy Process (AHP) and Principal Component Analysis (PCA) approach to determine the weight of each indicator for both military defense capability and military requirement. Spatial clustering using K-means is conducted to visualize the distribution of these strengths and weaknesses. An Ordinary Least Squares (OLS) regression model links military requirements with defense capabilities, assessing the relationship between settlement locations and historical battle sites. Residual analysis is utilized to identify areas of resource over-allocation or under-allocation. The study reveals that the regional differences in military defense capabilities and requirements within the Zhenbao Town area during the Ming Dynasty correspond closely with the locations of frequent conflicts. This finding suggests that the distribution of defensive capabilities were strengthened in areas with challenging terrain, while the effectiveness and allocation of defense capabilities were determined by logistical support and transportation conditions. This study enhances our understanding of historical military strategies from a historical geography perspective and offers innovative insights for analyzing Great Wall settlement, moving beyond mere sensory intuition and historical experience.

Strategi Pengelolaan Kelas yang Efektif dalam Meningkatkan Disiplin Belajar Siswa

Education data according to sources from Databoks states that the Indonesian population with a high school education of 15 years or more reaches 30.22%, while junior high school reaches 22.74%, and elementary school reaches 24.62%. It is very unfortunate that with a very large population, the majority of Indonesians have very little education. Of 12 countries in Asia, Indonesia's education quality is in 12th place, with Vietnam at the bottom, according to a survey conducted by the Political and Economic Risk Consultant (PERC). Data collected by the Swedish World Economic Forum in 2000 showed that Indonesia only ranked 37th out of 57 countries surveyed. In addition, an education quality survey conducted by the same organization in Indonesia shows that Indonesia is only considered a follower rather than a technology leader in 53 countries in the world. This research uses a qualitative descriptive research method by emphasizing literature study or literature study in analyzing variables that are relevant to the discussion in the research. The results of this research show that the low quality of education in Indonesia is caused by the learning process, especially in classroom management. Basically, classroom management is very important so that students can understand learning comfortably because of supportive classroom conditions. There are several strategies obtained in this research, namely planning and implementing class rules, using inclusive teaching techniques and approaches, and developing positive relationships and emotional support for students.

Airborne Observations of Highly Variable and Complex Freezing Drizzle and Mixed-Phase Environments

Abstract Airframe icing caused by interactions with supercooled cloud droplets and precipitation can pose a risk to aviation operations and life safety. The In-Cloud Icing and Large-drop Experiment (ICICLE) was conducted in January–March 2019 to capture measurements in freezing conditions in support of the Federal Aviation Administration (FAA) Terminal Area Icing Weather Information for NextGen (TAIWIN) program. The National Research Council of Canada’s Convair-580 research aircraft fulfilled the airborne data collection requirements for the ICICLE campaign and sampled icing clouds and atmospheric conditions over the midwestern United States. ICICLE flight 18, conducted on 17 February 2019, collected cloud and precipitation measurements during a widespread storm that generated supercooled small drops and freezing drizzle (FZDZ) within both liquid and mixed-phase regions. Supercooled liquid water content (LWC) typically ranged 0.30–0.45 g m−3 and exceeded 0.70 g m−3 in one instance. Maximum FZDZ diameters of 300–400 μm were commonly sampled near the base of clouds. Missed approaches performed at four Illinois airfields provided measurements of conditions from near ground level to above cloud top and supplied information regarding FZDZ formation and evolution. FZDZ was found to form at altitudes featuring relatively high LWC and sufficiently low droplet number concentrations. FZDZ formation zones were sometimes collocated with regions of atmospheric instability and/or wind shear. Flight through highly variable supercooled cloud droplet and FZDZ conditions resulted in significant Convair-580 airframe icing, highlighting the risk that icing conditions can pose to aircraft safety.

The failure of edge-cracked hard roof in underground mining: An analytical study

Hard roof is the primary concern of strata control in underground mining. Various techniques have been utilized to fracture the hard roof and control the failure of strata. Understanding the impact of cracks on strata behaviour is vital for optimizing strata control strategies. In this study, the hard roof was regarded as a beam structure with different loading, support, and boundary conditions. The equivalent spring model was adopted to represent the edge-cracked section of the hard roof, which allows additional rotation at the crack location. A piecewise-defined function was developed for solving equations of hard roof in the vicinity of the crack section. By combining the hard roof beam model and the equivalent spring model, the impact of a crack on the hard roof can be measured. A case study was carried out to explore the impacts of crack location and crack depth on the mechanical state of the hard roof. Results showcase the failure of the hard roof controlled by the crack depth and greatly influenced by the crack location. From the perspective of coal burst prevention, roof fracturing should be implemented at the high-stress area of strata, whereas it has been challenging in practice to determine such a location precisely. To address this challenge, it was suggested that hard roof fracturing should be carried out before coal seam de-stressing, increasing the likelihood of a crack occurring in a high-stress area. By adopting the proposed method, the mechanical state of the edge-cracked hard roof can be quantified.

Advocating individual-based profiles of elite athletes to capture the multifactorial nature of elite sports performance

Elite athletes are high-performance outliers within their specific sports. Even though science seeks to understand the nature of expertise and elite performance, much knowledge remains compartmentalized within subdisciplines. Despite this multidimensionality being acknowledged, an interdisciplinary approach to understanding elite athletes is still rare. This paper synthesizes insights across scientific domains in order to describe the population and individual characteristics of elite athletes. We analyzed diagnostic data from approximately 300 German squad athletes across eight different sports (e.g., gymnastics, volleyball, ice hockey, 3 × 3 basketball etc., agefemale = 18.95 ± 4.84 years, agemale = 19.32 ± 4.19 years) with expertise values ranging from 2 (low expertise) to 16 (high expertise). Data covered muscular strength, lower-body dynamics, muscle-power genetics, blood micronutrients, basic cognitive function, mental health, social support, and training conditions. Results of logistic regressions identified basic cognitive function (B = 0.89) and well-balanced blood micronutrients (B = 1.22) as critical factors distinguishing elite athletes. Additionally, multiple linear regressions suggested that lower-body dynamics (ß = 0.72) is related to increasing expertise values. We examined interactions between determinants of elite performance, and found that social support is positively associated with mental health and training conditions, whereas muscular strength correlates with lower-body dynamics. Focusing on top elite athletes in contrast to semi-elite athletes, we found higher within-group similarities in basic cognitive function and blood micronutrients. Findings indicate the need for a systemic, individualized, and comprehensive model using individual-based profiles.

The Effect of Outpatient Rehabilitation Program on the Quality of Life of Drug Abuse Patients in the National Narcotics Agency of North Sumatra Province in 2023

Improving outpatient rehabilitation enhances the lives of those battling substance abuse. This study evaluates its impact at the National Narcotics Agency, North Sumatra. The study aims to assess outpatient rehabilitation's effectiveness on individuals with substance abuse history, focusing on physical health, psychological well-being, social support, and the environment. Using quantitative methodology with pre-post design, the entire patient population (n=54) was included. Research findings reveal significant and positive impacts of the rehabilitation program on physical health, psychological well-being, social support, and patient environmental conditions. Statistical analysis, with a significance level of (p < 0.001), confirms the remarkable success of the intervention, emphasizing the crucial role of the program in enhancing the overall quality of life for patients. This study delves into outpatient rehabilitation program effectiveness, highlighting the need for multidimensional support in the recovery journey.

Analysis of Groundwater Salinity Distribution Based on Electrical Conductivity (EC) and Hydrochemical Approaches to Deep Wells in Sayung Subdistrict, Demak Central Java

In coastal areas, obtaining groundwater is not easy due to the lack of geological support conditions that cause water in the area to have poor quality such as groundwater that becomes salty. The coastal area of Sayung Subdistrict has geomorphological conditions whose surface tends to be flat with elevations 0-5 m higher than sea level and is dominated by alluvial material so that it can cause seawater infiltration to increase. The purpose of this research was to determine the distribution of salinity of groundwater in the coastal area of Sayung Subdistrict and to determine the cause of groundwater becoming salty. The method used in this research is the electrical conductivity (DHL) approach which is then classified based on the level of saltiness of groundwater. And then, well water from the sample points was tested using a hydrochemical test with the parameters used, namely the content of cations (Na, K, Mg, Ca) and anions (Cl, CO3, HCO3, SO4, NO3). This research was conducted at 33 well points spread across Sayung sub-district. The results of this study show that the electrical conductivity value obtained is between the range of 928-7,199 μS/cm which is divided into 3 classifications namely fresh water, fresh-brackish water, and brackish water. The analysis of the Trilinier Piper diagram shows that the saltiness of the groundwater is due to indications of seawater mixing characterized by a chloride (Cl) content that is increasingly greater towards the sea.

Research on Coordinated Relationship Between Deformation and Force in Shaft Foundation Pit Support Structures

In order to investigate the coordinated relationship between lateral deformation of the diaphragm wall and axial force of the internal strut, this paper first carried out a scaled model test on the mechanical features of a foundation pit support system based on a novel axial force servo device. Then, a finite element model was established to simulate the scaled model test, and the correctness of the finite element modeling approach was validated by comparing test results. After that, the same finite element modeling method was used to analyze the coordinated relationship between axial force and lateral deformation in the prototype foundation pit support structure. The results show that the axial force of the inner strut is negatively correlated with the lateral deformation in the diaphragm wall. The initial maximum lateral deformation in the diaphragm wall of the shaft foundation pit occurs at the bottom of the foundation pit, so changing the length of bottom strut simultaneously is the most effective way to adjust the mechanical behavior of the support structure. Under various support conditions, the maximum lateral deformation of the diaphragm wall in the prototype project is 0.59~0.66‰ of the total excavation depth of the foundation pit, and the maximum axial force of internal support is 11~30% of the yield load of a single steel strut.

Масляная живопись на бумажной основе: проблемы исследования повреждений бумаги, консервации и реставрации

The study aims to assess the condition of the paper support of oil paintings under the influence of natural aging factors in order to determine methods of conservation and restoration of oil paintings on paper. The article presents examples of the impact of oil paint binder on the paper support of art objects from the collections of St. Petersburg museums. The study shows possible variations of damage to the paintings’ support. Factors influencing the degree of oil binder absorption into the paper support are presented based on published research on this topic. The scientific novelty of the study lies in an attempt to systematize the influence of various factors on destructive changes in the paper support of oil paintings to identify the possibilities of conservation and restoration of these objects. Comprehensive research on oil painting on paper as a holistic object of restoration and conservation is absent in Russian and modern historiography, although separate methods of restoring graphic works and oil paintings exist. Based on a wide range of sources, the impact of oil paint binder on the paper support has been comprehensively examined. The study analyzed the experience of restoration presented in sources, systematized the obtained data, and identified the main factors of destruction. Particular attention was paid to the mutual influence of oil-absorbing properties of paint pigments depending on the method of preparing the support for painting. As a result of the work, the patterns of influence of oil paint binder on the paper support of paintings were identified based on published sources and tests on model samples.

Peran Guru dalam Meningkatkan Minat Belajar Siswa pada Pembelajaran IPS di Sekolah Dasar

Education is closely related to learning activities. In the entire educational process at school, learning activities are the most basic activities, which means that the success or failure of achieving educational goals depends on the learning process experienced by students as students in each school. In social studies learning, teachers are not only required to provide knowledge to students in mastering concepts related to social life and the environment. More than that, social studies teachers are expected to be able to equip students to make efforts to increase their knowledge. Therefore, thr role of teacher in improve social studies learning in elementary schools are very important to build an advanced generation in the future. he aim of this research is to increase students' interest in learning social studies in elementary schools. This research methodology uses a qualitative approach with the type of research being library research. The results of this research show that the teacher's role in increasing students' interest in learning in social studies subjects includes the use of media, organizing the class and stimulating to create an attitude of student participation in social studies subjects from all the teacher's roles above, that what they do is in accordance with the model participatory learning. There are several factors that support teachers when learning, including: the best possible and effective use of technology, good emotional condition of students, supportive environmental conditions, good quality teachers. And some of the inhibiting factors include a distance learning system that is less effective, technological constraints, namely slow internet network, poor emotional condition

Longitudinal Study of Bereavement Outcomes Among Palliative Caregivers Mourners: Psychological Profiles in Prolonged Grief and Psychopathology.

Prolonged grief (PG) is a mental health condition characterized by severe distress following a loss. This study examines the roles of attachment styles, social support, stressful life events (SLEs), and pre-existing psychopathology in predicting PG and post-bereavement psychopathology among 74 caregivers of palliative patients. Using validated assessment tools, the study employed hierarchical regression and fuzzy-set qualitative comparative analysis (fsQCA) to identify predictors of prolonged grief and psychological outcomes over six months. Results showed that pre-existing psychopathology and PG risk predicted post-bereavement psychopathology, though not PG itself. Low social support and high SLEs were linked to worse outcomes, while strong social support and low stress predicted positive outcomes. These findings highlight the importance of multiple interacting factors in understanding grief and emphasize the need for interventions that enhance social support, manage stress, and address mental health conditions to reduce psychological distress in bereaved caregivers.

Paved with good intentions: From digitalization to carbon neutrality

Researchers and practitioners have promoted digitalization as a crucial tool for achieving carbon neutrality. In this paper, we argue that for digitalization to positively impact carbon neutrality, several essential supporting conditions are required. Using the Georgescu-Roegen/Daly ecological production function approach, we argue that digitalization alone a) will not necessarily lead to dematerialization, partly because it tends to economize on labor rather than other, less sustainable production factors, and partly because it requires a material- and energy-intensive infrastructure; b) will result in both quantitative and qualitative output expansion rather than substituting existing products and services with more sustainable alternatives; and c) will not promote carbon-conscious corporate governance practices. We suggest that a systemic perspective is necessary to analyze the complex relationships between digitalization and carbon neutrality.

The dovish turnaround: Germany's social benefit reform and job findings

AbstractOn the labor markets, recent decades were characterized by structural supply‐side reforms in many countries. Following its hawkish reforms from the 2000s, Germany has recently made a dovish turnaround. Conditions in basic income support for unemployed became more generous, combined with a focus on qualification and development. Before, a temporary moratorium on sanctions had been imposed, providing a unique policy shift. We analyze the consequences for job findings, building on large administrative data and a novel control group approach. The moratorium dampened job findings by 4% and the subsequent benefit reform by almost 6%—offsetting half of the positive effect of the 2000s reform. Considering reform objectives, so far, we find no improvement in skill level, job stability, or transitions to training.

Assitenza ventilatoria non invasiva: dalla teoria alla pratica

Noninvasive respiratory assistance strategies are becoming part of everyday life for paediatricians, both in hospitals and territorial settings. In the acute condition, a timely and correct use of noninvasive respiratory support can improve the outcome of acute respiratory failure, decreasing the need for invasive mechanical ventilation. An increasing number of chronic patients can benefit from appropriate treatment with home ventilators. Respiratory assistance may be performed using High Flow Nasal Cannula (HFNC), Continuous Positive Airway Pressure (CPAP) or NonInvasive Ventilation (NIV), depending on the primary cause of respiratory failure. Understanding the working mechanisms of the different techniques and the golden rules to use them is crucial for a satisfying outcome.

The impact of organizational commitment on rural teachers’ retention: a moderated mediation study

The study aims to reveal the mechanisms by which organizational commitment influences the retention of rural teachers and how environmental fit and condition support modulate this relationship. It specifically examined the mediating role of environmental fit and the moderating role of supportive conditions in their relationship. A survey was conducted among 4,746 rural teachers across ten regions in Heilongjiang Province. The findings indicate: (1) There is a significant positive correlation between organizational commitment and the willingness of rural teachers to stay; (2) Environmental fit acts as a mediator in the relationship between organizational commitment and the retention intention of rural teachers; (3) Supportive conditions not only moderate the direct prediction of organizational commitment on the retention of rural teachers but also the predictive effect of organizational commitment on environmental fit. Therefore, to more effectively retain rural teachers, the following effective measures can be taken: optimize the rural educational environment to enhance teachers’ organizational commitment; refine recruitment and training systems to improve the fit of rural teachers with the rural environment; establish a monitoring system for the retention of rural teachers to enhance local educational supervision and accountability mechanisms.

Influence of flexoelectricity on coupled electromechanical response of 2D MXene/graphene-based hybrid piezocomposites.

This study investigates the influence of flexoelectricity on the coupled electromechanical behavior of MXene/graphene-based hybrid piezocomposite (MGHPC) plates. We developed an analytical model based on Navier's solution and Kirchhoff's plate theory, as well as an approximate model based on the Ritz method for validation purposes. A three-phase micromechanical modeling is developed for determining the effective properties of MGHPC composed of 2D MXene and graphene nano-reinforcements embedded in an epoxy matrix. These micromechanical models were implemented to predict the static and dynamic electromechanical response of MGHPC plates subject to various edge support and loading conditions. Both the analytical and approximate solutions provided unequivocal evidence of the profound impact of the flexoelectric effect on the bending and modal analysis of MGHPC nanoplates. The flexoelectric effect enhanced the stiffness of the nanoplate, irrespective of the support condition. This implies that MGHPC plates can be tailored for precise resonance frequencies and static deflection within nanoelectromechanical systems. This can be achieved by manipulating parameters such as boundary conditions and geometric attributes, including plate thickness/aspect ratio and graphene/MXene nano-reinforcements volume fractions.

Calcium Carbonate Deposition Model Supporting Multiple Operating Conditions Based on the Phase-Field Method for Free-Surface Flows

The drainage systems of tunnels situated in limestone regions frequently encounter crystallization blockages. Numerous studies have addressed this issue, and their findings identified factors such as the flow velocity and temperature as influencing the crystallization process. However, these studies could not predict the occurrence of crystallization. Regarding theoretical approaches, most studies have focused on full-pipe operations or have solely considered flow-field dynamics without including simulations of the chemical reactions and mass transfers. This study introduces a mass-transfer model for drainage pipes based on a two-phase flow (water and air) with a free surface and non-full pipe flow that simulates the crystallization deposition process in drainage pipes. This model can predict the deposition conditions at varying flow velocities and intuitively visualize the crystallization process under the influence of various factors. The impact of flow velocity on the overall crystallization deposition process can be directly analyzed through simulations developed using this model. The results show that under conditions of incomplete pipe flow with no pressure at the outlet, the weight of the deposition first increases and then decreases within a certain velocity. This model can depict the variations within a 30 d period.