bluuebunny/crossref_metadata_2025 huggingface dataset:
Work stress and changes in heart rate variability among employees after first acute coronary syndrome: a hospital-based longitudinal cohort study
Authors: Hu Zhao , Cao Xingyu , Jing Pan , Zhang Bangying , Shi Yunke , Siegrist Johannes , Li Jian , Zhang Min
Published: March 2024

Background

Work stress is considered as a risk factor for coronary heart disease, but its link with heart rate variability (HRV) among heart attack survivors is unknown yet. The aim of this study was to investigate associations between baseline work stress and the changes of HRV over one-year after onset of acute coronary syndrome (ACS).

Methods

Hundred and twenty-two patients with regular paid work before their first ACS episode were recruited into this hospital-based longitudinal cohort study. During hospitalization (baseline), all patients underwent assessments of work stress by job strain (JS) and effort-reward imbalance (ERI) models, and were assigned into low or high groups; simultaneously, sociodemographic and clinical data, as well depression, anxiety, and job burnout, were collected. Patients were followed up 1, 6, and 12 months after discharge, with HRV measurements at baseline and each follow-up point. Generalized estimating equations were used to analyze the effects of baseline work stress on HRV over the following 1 year.

Results

After adjusting for baseline characteristics and clinical data, anxiety, depression, and burnout scores, high JS was not associated with any HRV measures during follow-up (all p > 0.10), whereas high ERI was significantly related to slower recovery of 5 frequency domain HRV measures (TP, HF, LF, VLF, and ULF) (all p < 0.001), and marginally associated with one time domain measure (SDNN) (p = 0.069). When mutually adjusting for both work stress models, results of ERI remained nearly unchanged.

Conclusion

Work stress in terms of ERI predicted lower HRV during the one-year period after ACS, especially frequency domain measures.
How does the problem-oriented innovation system (PIS) help in the management of cardiovascular diseases?
Authors: Nasri Shohreh , Amani Javad , Safavi Gelayol , Ghazinoory Sepehr
Published: March 2024

Introduction

Cardiovascular diseases are a multifaceted and complex problem in the health system that can change the priorities of the economic, social, and even political systems of countries. Therefore, as a grand challenge (GC), its management requires adopting a systematic, interdisciplinary, and innovative approach. In Iran, the most common causes of death, have changed from infectious and diarrheal diseases to cardiovascular diseases since 1960.

Methods

In this study, the novel framework of the problem-oriented innovation system (PIS) has been used, and cardiovascular diseases in Iran have been selected as a case study. To this end, first, the main challenges related to cardiovascular diseases in Iran were identified in two layers of “governance-centered” (including legal and policy gaps, insufficient education, financing, lack and unbalanced distribution of medical personnel) and “society driven” (including unhealthy diet and lifestyle, uncontrolled and hard-to-regulate factors, and high costs) through a library research. Then, the functional-structural framework of the problem-oriented innovation system was used to analyze cardiovascular diseases and provide policy recommendations.

Results

The findings indicate that based on the eight functions of the problem-oriented innovation system, an important part of cardiovascular diseases can be managed and controlled in three short-term, medium-term, and long-term periods.

Conclusion

Increasing public awareness in the form of university courses, participation of the government with the private sector in building and equipping specialized cardiovascular centers, creating an electronic health record from birth, implementing a family health plan focusing on less developed areas, supporting agriculture and guaranteeing the purchase of agricultural products and healthy food, increasing the capacity of accepting students in medical and paramedical fields, and allocating pharmaceutical currency in the form of pharmaceutical subsidies directly to cardiovascular patients, are among the most important policy recommendations for this grand challenge.
Helping parents to cope with infant regulatory disorders
Authors: St James-Roberts Ian , Llewellyn Clare
Published: March 2024

The term Regulatory Disorders (RDs) refers to infants and young children who cry a lot, have poorly organised sleep-waking, or whose feeding is impaired. The characteristic they share is a failure to acquire autonomous self-control of these key behaviours, which most children develop in the first postnatal year. The concept of RDs is helpful in highlighting this question of how infant self-regulation is, or isn't, accomplished, in drawing these characteristics together and distinguishing them from others, and in focusing research and clinical attention on a common, but relatively neglected, set of concerns for families. The main focus for research into RDs has been on the nature and causes of the infant behaviours involved. Here, the aim is to highlight the part played by parents, since that is central to the provision of clinical services for RDs. Three points are made. (1) The contributions of parents include: detection and monitoring of RDs; generating the resulting healthcare service costs; maintaining their own wellbeing, since that is in their infant’s best interest; delivering interventions to help infants and families, which are almost always provided by parents. Parenting may be involved in maintaining RDs in some cases. (2) Substantial differences exist between infant RD cases in the behaviours involved, the age at which they present, the complexity and severity of the RD, and in their persistence over time and age. Most cases have one, rather than all three RDs, making them the most common type seen by clinicians. Evidence is summarised that interventions tailored to fit the RD involved can be effective in these cases. Multiple and sustained RDs are much rarer, but associated with greater risk of long-term psychological and behavioural impairments. They are a priority, but less is known about the contributions of parenting and child factors to these cases. (3) The focus on parents with infants requires joined-up paediatric and adult mental health services. After summarising three main requirements for such services, an example designed to fulfil these requirements is described to illustrate what a service for supporting families with RDs might look like.
Indigenous knowledge and natural infrastructure resilience to climate change in developing countries: a bibliometric analysis
Authors: Ebhuoma Eromose E.
Published: March 2024

It is widely recognized that natural infrastructure plays a pivotal role in sustaining Indigenous communities globally. Natural infrastructure encompasses ecosystems and environments that either occur naturally or have been deliberately altered through human intervention to provide multiple benefits for the environment and human wellbeing. While there has been extensive scholarly discussion regarding the importance of natural infrastructure in securing the livelihoods of Indigenous populations in developing nations and passing down their critical knowledge from one generation to another, the literature has not explicitly analyzed how Indigenous knowledge has facilitated the protection and conservation of natural infrastructure. Also, there has been limited analysis of the economic benefits of their conservation efforts. This article, utilizing bibliometric analysis as its methodological approach, aims to unpack how Indigenous knowledge has facilitated the protection and conservation of natural infrastructure. Several key themes emerged from this bibliometric analysis, including Indigenous governance strategies aimed at mitigating deforestation and addressing climate change and collective action taken to preserve natural infrastructure. Among others, a positive economic consequence of all three themes lies in their ability to improve the livelihood of Indigenous peoples by creating opportunities to receive payment for ecosystem services.
Evaluation of salivary tumor necrosis factor α as a diagnostic biomarker in oral submucosal fibrosis and squamous cell carcinoma of the oral cavity and oropharynx: a cross sectional observational study
Authors: Abdul Aziz Shaikh Sabiha , Denny E Ceena , Kumarchandra Reshma , Natarajan Srikant , Sunny Johan , Shenoy Nandita , K. P Nandita
Published: March 2024

Introduction

Tumor necrosis factorα(TNF-α) is known to be associated with chronic inflammation, and its expression has been shown to increase in advanced cancers. Chronic inflammation is a characteristic feature of oral submucous fibrosis (OSMF), which is a potentially malignant disorder (PMD). Squamous cell carcinoma (SCC) is associated with considerable mortality and morbidity and an early detection or monitoring would greatly help in achieving an effective cure. TNF-α was thus evaluated for use as a biomarker in the present study according to the stage of OSMF and histological grade of SCC in the oral cavity and oropharynx.

Methods

This study included 45 patients divided into 3 groups—OSMF group, SCC group and control group—each comprising 15 participants. Saliva samples were collected from each patient, and salivary TNF-α levels were estimated using an ELISA kit.

Results

Statistical analysis revealed no significant differences in TNF-α levels among the OSMF, SCC and control groups; however, there was an increase in the salivary TNF-α level in patients with stage 3 disease according to the clinical stage of OSMF, for which thepvalue was 0.027.

Discussion

An increase in the TNF-α concentration with increasing clinical stage suggested a role for TNF-α in the spread of OSMF involvement in anatomical structures of the oral cavity and oropharynx. No significant difference in salivary TNF-α levels was noted among the OSMF, SCC and control groups.

Conclusion

The study showed a positive correlation of TNF-α with increasing stages of OSMF but was not a reliable biomarker in the categorization of the same.
What motivates bridge building across pernicious group divides? The effects of regulatory motives, framing, and fit on increasing constructive engagement across political and racial divisions
Authors: Coleman Peter T. , Phan Lan H.
Published: March 2024

Introduction

Today, the U.S. and countless other democracies have found themselves dangerously divided across political and racial-ethnic differences. Under these conditions, more extreme actors often wield disproportionate influence, with moderate citizens tending to disengage politically, sparking a vicious cycle.

Methods

Six studies (N = 2,179) were conducted to investigate ways to mobilize citizens to engage in bridge-building activities fostering intergroup tolerance and compassion. Derived from basic regulatory theories of motivation, we tested the effects of stronger prevention (mitigating negative outcomes) vs. promotion (seeking ideal outcomes) and assessment (evaluating the best way to proceed) vs. locomotion (just “getting it done”) motivational orientations and the fit vs. non-fit framing effects of how the activities were presented on differences in engagement with political and racial bridge-building activities across political, racial, and gender groups in the U.S. We hypothesized that individuals with stronger levels of each of the four motivational mindsets would be more likely to express willingness to engage in bridging activities when they were framed in ways consistent (fitting) vs. inconsistent (non-fitting) with their more chronic orientations.

Results and discussion

Findings supported our hypotheses with some qualifiers and revealed important political, racial, and gender group differences on motivation and bridge-building for different types of engagement activities.
Systematic Review of Longitudinal Evidence and Methodologies for Research on Neighborhood Characteristics and Brain Health
Authors: Michael Yvonne L. , Senerat Araliya M. , Buxbaum Channa , Ezeanyagu Ugonwa , Hughes Timothy M. , Hayden Kathleen M. , Langmuir Julia , Besser Lilah M. , Sánchez Brisa , Hirsch Jana A.
Published: March 2024

Objective: Synthesize longitudinal research evaluating neighborhood environments and cognition to identify methodological approaches, findings, and gaps.

Methods: Included studies evaluated associations between neighborhood and cognition longitudinally among adults >45 years (or mean age of 65 years) living in developed nations. We extracted data on sample characteristics, exposures, outcomes, methods, overall findings, and assessment of disparities.

Results: Forty studies met our inclusion criteria. Most (65%) measured exposure only once and a majority focused on green space and/or blue space (water), neighborhood socioeconomic status, and recreation/physical activity facilities. Similarly, over half studied incident impairment, cognitive function or decline (70%), with one examining MRI (2.5%) or Alzheimer’s disease (7.5%). While most studies used repeated measures analysis to evaluate changes in the brain health outcome (51%), many studies did not account for any type of correlation within neighborhoods (35%). Less than half evaluated effect modification by race/ethnicity, socioeconomic status, and/or sex/gender. Evidence was mixed and dependent on exposure or outcome assessed.

Conclusion: Although longitudinal research evaluating neighborhood and cognitive decline has expanded, gaps remain in types of exposures, outcomes, analytic approaches, and sample diversity.
Manhole Cover Classification Based on Super-Resolution Reconstruction of Unmanned Aerial Vehicle Aerial Imagery
Authors: Wang Dejiang , Huang Yuping
Published: March 2024

Urban underground pipeline networks are a key component of urban infrastructure, and a large number of older urban areas lack information about their underground pipelines. In addition, survey methods for underground pipelines are often time-consuming and labor-intensive. While the manhole cover serves as the hub connecting the underground pipe network with the ground, the generation of underground pipe network can be realized by obtaining the location and category information of the manhole cover. Therefore, this paper proposed a manhole cover detection method based on UAV aerial photography to obtain ground images, using image super-resolution reconstruction and image positioning and classification. Firstly, the urban image was obtained by UAV aerial photography, and then the YOLOv8 object detection technology was used to accurately locate the manhole cover. Next, the SRGAN network was used to perform super-resolution processing on the manhole cover text to improve the clarity of the recognition image. Finally, the clear manhole cover text image was input into the VGG16_BN network to realize the manhole cover classification. The experimental results showed that the manhole cover classification accuracy of this paper’s method reached 97.62%, which verified its effectiveness in manhole cover detection. The method significantly reduces the time and labor cost and provides a new method for manhole cover information acquisition.
High-Volume Resistance Training Improves Double-Poling Peak Oxygen Uptake in Youth Elite Cross-Country Skiers and Biathletes: A Pilot Study
Authors: Wagner Carl-Maximilian , Sandbakk Øyvind , Röhrs Daniel , Schiemann Stephan , Schmidt Tobias , Keiner Michael
Published: March 2024

A total of nineteen elite youth cross-country skiers (16 ± 2 years) were divided into three groups: a low-load group (LL, n = 6) performing 15–20 repetitions per exercise, a high-load group (HL, n = 9) executing 6–12 repetitions, and a control group (CON, n = 4) exclusively engaging in endurance training. Testing included 1RM in upper-body exercises, VO2max running tests, and double-poling (DP) ergometer exhaustion and sprint tests to determine peak oxygen uptake (VO2peak-DP) and peak power (PP). The results indicated that HL and LL showed significant increases in VO2peak-DP, both in absolute values (d = −1.2 and −1.2, p < 0.05) and when normalized to body mass (d = 0.93 and 1.3, p < 0.05). Although there were no group*time effects for VO2peak-DP, PP during DP tests to exhaustion increased in both HL (d = −1.6, p < 0.05) and LL (d = 1.4, p < 0.05) compared to CON. Standardized to body mass, only HL showed significant improvements in PP during the sprint test (d = 1.7, p < 0.05). During the sprint test, both absolute and body-mass-normalized peak power increased only in the high-load group (d = −1.0 and 0.93, p < 0.05). In conclusion, high-load resistance training resulted in the greatest improvements in strength, DP performance, and VO2peak-DP, indicating a dose–response relationship to the load magnitude of resistance training.
Natural or Synthetic Emollients? Physicochemical Properties of Body Oils in Relation to Selected Parameters of Epidermal Barrier Function
Authors: Ogorzałek Marta , Klimaszewska Emilia , Mirowski Marek , Kulawik-Pióro Agnieszka , Tomasiuk Ryszard
Published: March 2024

Emollients are valued ingredients of many cosmetic products and medical devices used to support the treatment and prevention of many skin diseases. Despite the fact that they are one of the oldest cosmetic ingredients, raw materials as well as new recipe solutions are constantly being sought, the main goal of which is to obtain products with the most favorable physicochemical properties while improving the hydration of the stratum corneum and softening and smoothing the skin. It should be noted that there are few scientific articles on the effect of emollients on the physicochemical and usable properties of emollient preparations of the body-oils type. The obtained formulations were subjected to physicochemical tests (dynamic viscosity, surface tension, contact angle, and color evaluation), and the degree of skin hydration and lubrication after application of the developed cosmetic oils was evaluated. Cosmetic oils based on natural emollients were characterized by weaker spreading abilities, which was confirmed by their higher viscosity, surface tension, and contact-angle results relative to those obtained for cosmetic oils based on synthetic emollients. In addition, it was found that the use of both groups of cosmetic oils based on natural and synthetic emollients leads to an increase in the degree of hydration of the skin and an increase in its oiliness. However, a higher increase in the degree of hydration and a lower decrease in the level of skin lubrication are observed after the application of body oils based on natural emollients.
Research on Three-Phase Wireless Power Transfer System
Authors: Zhang Xin , Gao Jiaxin , Wei Xiangyu , Gao Pengxiang , Wang Longlong
Published: March 2024

Aiming at the problems of low power, low energy transmission efficiency, and high stress in the circuit of a single-phase wireless power transfer system, this paper proposes a wireless power transfer (WPT) system with a three-phase angle difference of 120 degrees and establishes a COMSOL multi-physics simulation model for analysis. In this simulation model, the topology of the three-phase resonant compensation network is studied in detail, and the structure of the coupling coil is designed and adjusted. Compared with the single-phase system with the same environmental conditions, air gap, and operating frequency, the simulation results show that the proposed three-phase system can effectively reduce the magnetic flux leakage, reduce the stress in the circuit, and significantly improve the energy transmission efficiency. In order to verify the reliability of the simulation results, an experimental platform was built. The experimental results show that the efficiency and coupling degree of the new system are significantly improved at the resonant frequency of 47.5 kHz, and the stress in the circuit is also significantly reduced.
Two-Stage Method for Clothing Feature Detection
Authors: Lyu Xinwei , Li Xinjia , Zhang Yuexin , Lu Wenlian
Published: March 2024

The rapid expansion of e-commerce, particularly in the clothing sector, has led to a significant demand for an effective clothing industry. This study presents a novel two-stage image recognition method. Our approach distinctively combines human keypoint detection, object detection, and classification methods into a two-stage structure. Initially, we utilize open-source libraries, namely OpenPose and Dlib, for accurate human keypoint detection, followed by a custom cropping logic for extracting body part boxes. In the second stage, we employ a blend of Harris Corner, Canny Edge, and skin pixel detection integrated with VGG16 and support vector machine (SVM) models. This configuration allows the bounding boxes to identify ten unique attributes, encompassing facial features and detailed aspects of clothing. Conclusively, the experiment yielded an overall recognition accuracy of 81.4% for tops and 85.72% for bottoms, highlighting the efficacy of the applied methodologies in garment categorization.
Bio-Hybrid Magnetic Robots: From Bioengineering to Targeted Therapy
Authors: Zhang Qian , Zeng Yun , Zhao Yang , Peng Xuqi , Ren En , Liu Gang
Published: March 2024

Magnetic robots possess an innate ability to navigate through hard-to-reach cavities in the human body, making them promising tools for diagnosing and treating diseases minimally invasively. Despite significant advances, the development of robots with desirable locomotion and full biocompatibility under harsh physiological conditions remains challenging, which put forward new requirements for magnetic robots’ design and material synthesis. Compared to robots that are synthesized with inorganic materials, natural organisms like cells, bacteria or other microalgae exhibit ideal properties for in vivo applications, such as biocompatibility, deformability, auto-fluorescence, and self-propulsion, as well as easy for functional therapeutics engineering. In the process, these organisms can provide autonomous propulsion in biological fluids or external magnetic fields, while retaining their functionalities with integrating artificial robots, thus aiding targeted therapeutic delivery. This kind of robotics is named bio-hybrid magnetic robotics, and in this mini-review, recent progress including their design, engineering and potential for therapeutics delivery will be discussed. Additionally, the historical context and prominent examples will be introduced, and the complexities, potential pitfalls, and opportunities associated with bio-hybrid magnetic robotics will be discussed.
Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data—In Pursuit of Precision
Authors: M S Karthika , Rajaguru Harikumar , Nair Ajin
Published: March 2024

Microarray gene expression analysis is a powerful technique used in cancer classification and research to identify and understand gene expression patterns that can differentiate between different cancer types, subtypes, and stages. However, microarray databases are highly redundant, inherently nonlinear, and noisy. Therefore, extracting meaningful information from such a huge database is a challenging one. The paper adopts the Fast Fourier Transform (FFT) and Mixture Model (MM) for dimensionality reduction and utilises the Dragonfly optimisation algorithm as the feature selection technique. The classifiers employed in this research are Nonlinear Regression, Naïve Bayes, Decision Tree, Random Forest and SVM (RBF). The classifiers’ performances are analysed with and without feature selection methods. Finally, Adaptive Moment Estimation (Adam) and Random Adaptive Moment Estimation (RanAdam) hyper-parameter tuning techniques are used as improvisation techniques for classifiers. The SVM (RBF) classifier with the Fast Fourier Transform Dimensionality Reduction method and Dragonfly feature selection achieved the highest accuracy of 98.343% with RanAdam hyper-parameter tuning compared to other classifiers.
Understanding Local Reactions Induced by Bothrops jararaca Venom: The Role of Inflammatory Mediators in Leukocyte–Endothelium Interactions
Authors: Zychar Bianca Cestari , Gonçalves Luís Roberto C.
Published: March 2024

In recent years, extensive research has delved into the pathophysiology of local reactions triggered by Bothrops snake venoms. Even though antivenom works well at reducing death and systemic effects, it is still not very effective in treating local reactions because it cannot counteract damage that has already been triggered. This limitation might be attributed to certain molecules that amplify the venom-induced innate response. While evidence suggests endogenous mediators at the venom site play a role in this envenomation, in Brazil, the concurrent use of anti-inflammatory agents or other drugs alongside antivenom remains uncommon. This study evaluated the pharmacological mediation of alterations in leukocyte–endothelium interactions following the experimental envenomation of mice with Bothrops jararaca venom, the main culprit of snake-related accidents in Southeast Brazil. We treated envenomed mice with inhibitors of different pharmacological pathways and observed the cremaster muscle microcirculation with intravital microscopy. We found that eicosanoids related to cyclooxygenase pathways and nitric oxide significantly contributed to B. jararaca venom-induced alterations in leukocyte–endothelium interactions. Conversely, lipoxygenase-mediated eicosanoids, histamine, and serotonin had minimal participation. Notably, dexamethasone and antivenom treatment diminished B. jararaca venom–induced alterations in leukocyte–endothelium interactions. The limited efficacy of the antivenom in managing Bothrops venom-induced local reactions emphasizes the critical need for supplementary treatments to enhance therapeutic outcomes.
Does Social and Organizational Support Moderate Emotional Intelligence Training Effectiveness?
Authors: Opatha Ishara Madhunika , Takahashi Yoshi
Published: March 2024

Given the dearth of systematic research and inconclusive results regarding the effectiveness of emotional intelligence (EI) training in adult training, this study was conducted to evaluate the effectiveness of EI training. This study aimed to assess the effectiveness of EI training on learning and transfer outcomes, considering underexplored moderation of social and organizational support with experimental and longitudinal research design. Training transfer was measured through changes in organizational citizenship behavior (OCB) and counterproductive work behavior (CWB). Participants self-assessed their OCB and CWB levels, while their supervisors also provided evaluations, allowing for separate analysis. Data, from a sample comprising 176 government officials, were collected across different periods and analyzed employing diverse analytical tools. The results revealed positive effects of EI training on training outcomes in both samples but positive moderation effect of social and organizational support on the effect of EI training on training outcomes was observed in the self-evaluation sample but not in the supervisor evaluation sample. The findings advance the debate on social exchange theory and organizational support theory by showing the boundary condition of their applicability. Furthermore, this study clarifies the impact of EI training on training outcomes by emphasizing the nuanced role of social and organizational support.
Study on the Properties of Belite Calcium Sulfoaluminate Cement–Ordinary Portland Cement Composite Cementitious System
Authors: Xin Xiangyu , Duan Guangbin , Zhu Jiang , Hou Pengkun , Zhao Piqi , Du Peng , Wang Shoude , Huang Yongbo
Published: March 2024

Due to low early strength and high shrinkage, ordinary Portland cement (OPC) has difficulty meeting the actual needs of modern construction projects, while belite calcium sulfoaluminate cement (BCSA–OPC) composite cement provides a new solution. The mechanical and the drying shrinkage properties of the BCSA–OPC mortar were determined, the hydration heat of the BCSA–OPC was studied, and the pore size distribution of the mortar was investigated. In addition, the hydration products of the BCSA–OPC were analyzed by X-ray diffraction (XRD) and simultaneous thermal analysis (TG-DSC), and the microscopic morphology of the BCSA–OPC mortar was observed by scanning electron microscopy (SEM). The results show that with the increase in BCSA dosage in the BCSA–OPC, compared with OPC, the flexural strengths of the mortar of 50% dosage of BCSA at the hydration age of 1 d, 3 d, 7 d, and 28 d are improved by 33.3%, 36.6%, 23.6%, and 26.8%, and the compressive strengths are improved by 50.8%, 35.7%, 13.4%, and 27.7%. The drying shrinkage and total porosity of the mortar at the hydration age of 28 d are reduced by 117.4% and 21.55%, respectively. It is attributed to the filling effect of a large amount of ettringite (AFt) and intertwined with the fibrous C-S-H gel to form a network. This study will provide a theoretical basis for the application of the BCSA–OPC engineering.
Institutionalizing Projectification—The Case of Kyrgyzstan
Authors: Wagner Reinhard F. , Radujković Mladen
Published: March 2024

The extent to which projects are established as an organizational form in society to cope with various challenges has been analyzed extensively in research under the term ‘projectification’. However, it remains unclear how the projectification at the level of society begins and which actors are involved in its institutionalization. Drawing on an explanatory case study in post-Soviet Kyrgyzstan, responses are provided to these questions and propositions for further research. The country is undertaking reforms as part of its ongoing transformation, which includes the professional implementation of projects, particularly in the public sector. These activities are, to some extent, based on the developments in project management in neighboring Kazakhstan, where a presidential decree also constituted a first step towards the institutionalization of projectification. It later found its way into relevant sectors and to key actors via the presidential administration, primarily through regulative and normative institutions. Because of increased international cooperation, the number and importance of projects in Kyrgyzstan will continue to increase in the coming years, requiring greater emphasis on projectification. The results are informative for research into projectification and for those involved in countries with comparable situations.
A Study on the Ultimate Span of a Concrete-Filled Steel Tube Arch Bridge
Authors: Wu Yuexing , Wang Xiangchuan , Fan Yonghui , Shi Jun , Luo Chao , Wang Xinzhong
Published: March 2024

In order to study the ultimate span of a concrete-filled steel tube (CFST) arch bridge, taking the structural strength, stiffness, and stability as the limiting conditions, the finite element analysis method is adopted to carry out research on the influence law of a single parameter of the pipe diameter, wall thickness, and cross-section height on the ultimate span of the arch axial shape. The result is used as a sample point to determine the ultimate span of the CFST arch bridge under multifactor coupling based on the response surface method. The finite element method is used to check the strength, stiffness, stability, number of segments and maximum lifting weight, steel content rate, and steel pipe concrete constraint effect coefficient of the CFST arch bridge under the ultimate span diameter. The results show that, when analyzed using a single parameter, the ultimate span diameter of the CFST arch bridge increases with the increase in the steel pipe diameter and the cross-section height, and then decreases. Moreover, it increases with the increase in the wall thickness of the steel pipe, and the CFST arch bridge reaches the ultimate span with the increase in the steel pipe wall thickness. When the pipe diameter is 1.38 m, the CFST arch bridge reaches the ultimate span; according to a multi-parameter coupling analysis, when the pipe diameter is 1.49 m, wall thickness is 37 mm, and cross-section height is 17 m, the CFST arch bridge reaches the ultimate span of 821 m, which meets all of the limiting conditions, and, at this point, the arch axial coefficient is 1.2. The results of the finite element calculation show that the structural strength, prior to the stiffness, stability, and other limitations, just reaches the critical value of the limiting conditions.
Experimental Study on the Mechanical Properties of Recycled Spiral Steel Fiber-Reinforced Rubber Concrete
Authors: Yan Jinqiu , Gao Yongtao , Tang Minggao , Ding Nansheng , Xu Qiang , Peng Man , Zhao Hua
Published: March 2024

Recycled rubber (RR) and recycled spiral steel fiber (RSSF) were added to plain concrete (PC) to prepare recycled spiral steel fiber rubber concrete (SSFRC) with matrix strengths of C30, C40, and C50. Strength tests on the PC, rubber concrete (RC), and SSFRC were carried out, including the cube compressive strength, splitting tensile strength, and flexural strength. The effects of RSSF and RR on the mechanical properties of concrete were analyzed. Simultaneously, the stress–strain curve of the SSFRC was obtained through axial compressive testing, and the toughness of SSFRC was evaluated by three indexes: the tensile compression ratio, bending compression ratio, and toughness index. The results show that adding RR to PC results in a decrease in the mechanical properties of concrete with different matrix strengths, and the addition of RSSF can make up for the strength loss of the rubber. The mechanical strength of SSFRC with different matrix strengths increased first and then decreased with the increase in RSSF content. The cubic compressive strength reached its peak value when the content of RSSF was 1%, and the splitting tensile strength and flexural strength reach their peak values when the content of RSSF was 1.5%. RSSF works best with rubber particles at the right dosage to further increase the toughness of the concrete. When the rubber content is 10%, and the RSSF content is 1.5%, the mechanical strength enhancement effect of SSFRC is at its best, and the toughness is also at its best.
Advances in Rapid Damage Identification Methods for Post-Disaster Regional Buildings Based on Remote Sensing Images: A Survey
Authors: Gu Jiancheng , Xie Zhengtao , Zhang Jiandong , He Xinhao
Published: March 2024

After a disaster, ascertaining the operational state of extensive infrastructures and building clusters on a regional scale is critical for rapid decision-making and initial response. In this context, the use of remote sensing imagery has been acknowledged as a valuable adjunct to simulation model-based prediction methods. However, a key question arises: how to link these images to dependable assessment results, given their inherent limitations in incompleteness, suboptimal quality, and low resolution? This article comprehensively reviews the methods for post-disaster building damage recognition through remote sensing, with particular emphasis on a thorough discussion of the challenges encountered in building damage detection and the various approaches attempted based on the resultant findings. We delineate the process of the literature review, the research workflow, and the critical areas in the present study. The analysis result highlights the merits of image-based recognition methods, such as low cost, high efficiency, and extensive coverage. As a result, the evolution of building damage recognition methods using post-disaster remote sensing images is categorized into three critical stages: the visual inspection stage, the pure algorithm stage, and the data-driven algorithm stage. Crucial advances in algorithms pertinent to the present research topic are comprehensively reviewed, with details on their motivation, key innovation, and quantified effectiveness as assessed through test data. Finally, a case study is performed, involving seven state-of-the-art AI models, which are applied to sample sets of remote sensing images obtained from the 2024 Noto Peninsula earthquake in Japan and the 2023 Turkey earthquake. To facilitate a cohesive and thorough grasp of these algorithms in their implementation and practical application, we have deliberated on the analytical outcomes and accentuated the characteristics of each method through the practitioner’s lens. Additionally, we propose recommendations for improvements to be considered in the advancement of advanced algorithms.
The Influence of Wound Closure Techniques after Surgical Decompression in Patients with Carpal Tunnel Syndrome on Sleep Disturbance and Life Quality: A Prospective Comparison of Surgical Techniques
Authors: Sunjic Roguljic Veridijana , Roguljic Luka , Jukic Ivana , Kovacic Vedran
Published: March 2024

Background: The compression of the median nerve within the carpal tunnel is the cause of carpal tunnel syndrome (CTS). Surgical decompression is successful in improving sleep and quality of life, but the effect of tissue adhesives as a material for wound closure has not been investigated. The objective of the study was to evaluate sleep disorders and health-related life quality by comparing two methods for wound closure after carpal surgery in participants who were randomized to receive tissue adhesives or transcutaneous sutures. Methods: The subjects, aged 61.56 ± 12.03 years, were randomized to receive either tissue adhesives (n = 50) or suture-based wound closure (n = 50) using the Glubran Tiss 2® skin adhesive after subcutaneous running sutures. The outcomes were assessed during the 12-month postoperative follow-up. The Pittsburgh Sleep Quality Index (PQSI) and Insomnia Severity Scale (ISI) were used for the sleep disturbance assessment, and for the health-related quality of life assessment, the total SF-36 (36-Item Short Form Survey) was used. Results: The PQSI, ISI, and SF-36 were not statistically different between groups during the follow-up, except in the ISI score two weeks after surgery (9.40 ± 1.18 in the tissue adhesive group vs. 9.96 ± 1.09 in the suture-based group, p = 0.008). The PQSI, ISI, and SF-36 scores for all the subjects and groups were persistently improved at all the follow-up intervals after surgery. The total SF-36 score increased 12 months after surgery (49.84 ± 5.85 vs. 82.46 ± 5.68, p < 0.001). Conclusions: Cyanoacrylate-based adhesion material can be used for wound closure after open CTS decompression as a standard transcutaneous suture, and both techniques equally lead to improved sleep and life quality. The possible advantages of tissue adhesives include a faster reduction in the ISI.
Prognosis versus Actual Outcomes in Stereotactic Radiosurgery of Brain Metastases: Reliability of Common Prognostic Parameters and Indices
Authors: Mangesius Julian , Seppi Thomas , Arnold Christoph Reinhold , Mangesius Stephanie , Kerschbaumer Johannes , Demetz Matthias , Minasch Danijela , Vorbach Samuel Moritz , Sarcletti Manuel , Lukas Peter , Nevinny-Stickel Meinhard , Ganswindt Ute
Published: March 2024

This study aims to evaluate the clinical outcome of stereotactic radiosurgery as the sole treatment for brain metastases and to assess prognostic factors influencing survival. A total of 108 consecutive patients with 213 metastases were retrospectively analyzed. Treatment was determined with close-meshed MRI follow-up. Various prognostic factors were assessed, and several prognostic indices were compared regarding their reliability to estimate overall survival. Median overall survival was 15 months; one-year overall survival was 50.5%. Both one- and two-year local controls were 90.9%. The rate of new metastases after SRS was 49.1%. Multivariate analysis of prognostic factors revealed that the presence of extracranial metastases, male sex, lower KPI, and progressive extracranial disease were significant risk factors for decreased survival. Of all evaluated prognostic indices, the Basic Score for Brain Metastases (BSBMs) showed the best correlation with overall survival. A substantial survival advantage was found for female patients after SRS when compared to male patients (18 versus 9 months, p = 0.003). SRS of brain metastasis is a safe and effective treatment option when frequent monitoring for new metastases with MRI is performed. Common prognostic scores lack reliable estimation of survival times. Female sex should be considered as an additional independent positive prognostic factor influencing survival.
Artificial-Intelligence-Enhanced Analysis of In Vivo Confocal Microscopy in Corneal Diseases: A Review
Authors: Kryszan Katarzyna , Wylęgała Adam , Kijonka Magdalena , Potrawa Patrycja , Walasz Mateusz , Wylęgała Edward , Orzechowska-Wylęgała Bogusława
Published: March 2024

Artificial intelligence (AI) has seen significant progress in medical diagnostics, particularly in image and video analysis. This review focuses on the application of AI in analyzing in vivo confocal microscopy (IVCM) images for corneal diseases. The cornea, as an exposed and delicate part of the body, necessitates the precise diagnoses of various conditions. Convolutional neural networks (CNNs), a key component of deep learning, are a powerful tool for image data analysis. This review highlights AI applications in diagnosing keratitis, dry eye disease, and diabetic corneal neuropathy. It discusses the potential of AI in detecting infectious agents, analyzing corneal nerve morphology, and identifying the subtle changes in nerve fiber characteristics in diabetic corneal neuropathy. However, challenges still remain, including limited datasets, overfitting, low-quality images, and unrepresentative training datasets. This review explores augmentation techniques and the importance of feature engineering to address these challenges. Despite the progress made, challenges are still present, such as the “black-box” nature of AI models and the need for explainable AI (XAI). Expanding datasets, fostering collaborative efforts, and developing user-friendly AI tools are crucial for enhancing the acceptance and integration of AI into clinical practice.
Predictive Value of Dual-Energy CT-Derived Metrics for the Use of Bone Substitutes in Distal Radius Fracture Surgery
Authors: Reschke Philipp , Koch Vitali , Mahmoudi Scherwin , Booz Christian , Yel Ibrahim , Gotta Jennifer , Stahl Adrian , Reschke Robin , Scholtz Jan-Erik , Martin Simon S. , Gruber-Rouh Tatjana , Eichler Katrin , Vogl Thomas J. , Gruenewald Leon D.
Published: March 2024

(1) Background: Low bone mineral density (BMD) is a significant risk factor for complicated surgery and leads to the increased use of bone substitutes in patients with distal radius fractures (DRFs). No accepted model has yet been established to predict the use of bone substitutes to facilitate preoperative planning. (2) Methods: Unenhanced dual-energy CT (DECT) images of DRFs were retrospectively acquired between March 2016 and September 2020 using the internal PACS system. Available follow-up imaging and medical health records were reviewed to determine the use of bone substitutes. DECT-based BMD, trabecular Hounsfield units (HU), cortical HU, and cortical thickness ratio were measured in non-fractured segments of the distal radius. Diagnostic accuracy parameters were calculated for all metrics using receiver-operating characteristic (ROC) curves and associations of all metrics with the use of bone substitutes were evaluated using logistic regression models. (3) The final study population comprised 262 patients (median age 55 years [IQR 43–67 years]; 159 females, 103 males). According to logistic regression analysis, DECT-based BMD was the only metric significantly associated with the use of bone substitutes (odds ratio 0.96, p = 0.003). However, no significant associations were found for cortical HU (p = 0.06), trabecular HU (p = 0.33), or cortical thickness ratio (p = 0.21). ROC-curve analysis revealed that a combined model of all four metrics had the highest diagnostic accuracy with an area under the curve (AUC) of 0.76. (4) Conclusions: DECT-based BMD measurements performed better than HU-based measurements and cortical thickness ratio. The diagnostic performance of all four metrics combined was superior to that of the individual parameters.
PIS-Net: Efficient Medical Image Segmentation Network with Multivariate Downsampling for Point-of-Care
Authors: Zhang Changrui , Wang Jia
Published: March 2024

Recently, with more portable diagnostic devices being moved to people anywhere, point-of-care (PoC) imaging has become more convenient and more popular than the traditional “bed imaging”. Instant image segmentation, as an important technology of computer vision, is receiving more and more attention in PoC diagnosis. However, the image distortion caused by image preprocessing and the low resolution of medical images extracted by PoC devices are urgent problems that need to be solved. Moreover, more efficient feature representation is necessary in the design of instant image segmentation. In this paper, a new feature representation considering the relationships among local features with minimal parameters and a lower computational complexity is proposed. Since a feature window sliding along a diagonal can capture more pluralistic features, a Diagonal-Axial Multi-Layer Perceptron is designed to obtain the global correlation among local features for a more comprehensive feature representation. Additionally, a new multi-scale feature fusion is proposed to integrate nonlinear features with linear ones to obtain a more precise feature representation. Richer features are figured out. In order to improve the generalization of the models, a dynamic residual spatial pyramid pooling based on various receptive fields is constructed according to different sizes of images, which alleviates the influence of image distortion. The experimental results show that the proposed strategy has better performance on instant image segmentation. Notably, it yields an average improvement of 1.31% in Dice than existing strategies on the BUSI, ISIC2018 and MoNuSeg datasets.
A Novel Single-Phase Five-Level Current-Source Inverter Topology
Authors: Aldin Mayas Fakher , Dagan Kfir Jack
Published: March 2024

Recent technological advances have renewed the research interest in current-source inverters (CSIs). Nonetheless, CSI research still falls behind its voltage-source counterpart with regards to topologies, modulation, and control. Acknowledging the above, this paper presents a novel single-phase five-level CSI topology. The proposed circuit utilises eight switches and two inductors for the generation of five distinct output levels while maintaining low output voltage THD and dv/dt. Furthermore, by offsetting the inductor currents from a binary 1:2 to a trinary 1:3 ratio, the proposed inverter can generate seven current levels at its output. The inverter offers built-in short-circuit protection and can boost a low input DC voltage to a higher peak AC output voltage. These merits, alongside an electrolytic-capacitor-free design, simple current balancing mechanism, and fault-tolerant characteristics, make it a promising candidate for PV module-integrated inverter (MII) systems. The current topology utilises two inductors but is fully functional with single-inductor operation. The paper provides a functional analysis of the inverter topology alongside the inverter switching states and corresponding conduction paths. A detailed analysis of the inductor current dynamics as well as a current-balancing algorithm for dual- and single-inductor operations are given. The theoretical analysis of the proposed circuit and its functional operation are verified using simulations and experimental results carried out on a laboratory prototype.