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• In dementia care, almost all nurses identify as female. These nurses often experience positive and nurturing emotions towards residents regardless of whether their observed behavior is interpreted as a need for intimacy or sexuality. • Almost all nurses identified a male resident as most in need of sexuality, while the majority identified a female resident as most in need of intimacy. • Nurses tend to prefer caring for residents with intimate needs, especially female residents, as they often evoke more affectionate, helpful, and sympathetic sentiments compared to residents with sexual needs or those who identify as male. • Nurses' capability to include personal boundaries is associated with heightened positive and nurturing emotions towards residents with intimate and sexual needs, as well as reduced negative feelings towards residents with sexual needs. Person-centered care emphasizes close care relations regardless of gender. However, when residents with dementia express intimate or sexual needs, nurses may struggle with their own emotions and need to include personal boundaries. 277 (vocational) nurses from 25 Dutch nursing homes completed a survey, including the Feeling Word Checklist for a resident with perceived sexual needs and another for a resident with perceived intimate needs. Positive-nurturing sentiments towards residents prevail, yet residents expressing intimate needs elicit higher levels of positive-nurturing and lower levels of negative emotions than those with sexual needs. Male residents, who expressed more pronounced sexual needs, received less affection and interest from female nurses who felt especially close to female residents with intimate needs. Close care relations established through nurses' personal emotions inadvertently introduce gender-sensitive and differing emotions towards residents. Nurses' capability to include personal boundaries benefits the relationship and well-being of both parties. [ABSTRACT FROM AUTHOR]

Electrical energy saving was evaluated by taking advantage of PV and ESS in a community unit. An artificial neural network (ANN) and long short-term memory (LSTM) were employed to create a predictive model for PV generation. Annual demand data for residential buildings were estimated using EnergyPlus, while data for other buildings were collected from measurements in J Energy Town, Republic of Korea. Pearson correlation coefficients identified six crucial variables for the model. Comparative analysis of 310 cases revealed that the best-performing model was an ANN with three hidden layers and nodes of 14, 13 and 11. The model satisfied ASHRAE guidelines with a CV(RMSE) of 29.1 % and NMBE of −7.14 %. Evaluating electricity consumption in the community, case B (PV generation) showed a significant 46.3 % reduction compared to case A, while case D achieved a 5 % energy savings relative to case E over the year. [ABSTRACT FROM AUTHOR]

The addition of macro fibers to concrete pavements has been used to improve the cracking of concrete pavement, reduce slab thickness and contribute to increasing the joint spacing. A laboratory test was carried out in the study to analyze the impact of fiber reinforced concrete (FRC) on plain cement concrete (PCC) and roller compacted concrete (RCC), determining the flexural strength by performing ASTM-1609 tests and compressive strength by ASTM C-39 tests. Two synthetic fiber types selected with different geometries and different dosages (0.25% and 0.5% by volume) were tested for both RCC and PCC. To examine the effect of fiber contents and property, statistical testing was done using strength-test data. The test result showed that flexural strength was not affected by fibers. As fiber content increased, both residual strength (F600 and F150) and specimen toughness (T150) increased for each fiber type. To the contrary, the compressive strength of specimens with higher fiber contents was lower in every case. Fiber properties including length and shape affected the residual strength of RCC more, than PCC. It is notable that the residual strength of RCC and PCC with the same fiber condition is very similar, even though the mix design and compressive and flexural strengths are different. In this paper, the strength-test data results are discussed, and the factors affecting the test results and the limitations of the testing methods are suggested. [ABSTRACT FROM AUTHOR]

Drawing inspiration from the intricate soft structures found in nature, soft actuators possess the ability to incrementally execute complex tasks and adapt to dynamic and interactive environments. In particular, the integration of sensor data feedback allows actuators to respond to environmental stimuli with heightened intelligence. However, conventional rigid sensors are constrained by their inherent lack of flexibility. The current manufacturing processes for flexible sensors are complex and fail to align with the inherent simplicity of soft actuators. In this study, to facilitate the straightforward and consistent sensing of soft pneumatic actuators, carbon–polydimethylsiloxane (CPDMS) materials were employed, utilizing 3D printing and laser-cutting techniques to fabricate a flexible sensor with ease. The preparation of standard tensile specimens verified that the sensor exhibits a fatigue life extending to several hundred cycles and determined its gauge factor to be −3.2. Experimental results indicate that the sensor is suitable for application in soft pneumatic actuators. Additionally, a printed circuit board (PCB) was fabricated and the piecewise constant curvature (PCC) kinematic method was utilized to enable real-time pose estimation of the soft pneumatic actuator. Compared with computer vision methods, the pose estimation error obtained by the sensing method is as low as 4.26%. This work demonstrates that this easily fabricated sensor can deliver real-time pose feedback for flexible pneumatic actuators, thereby expanding the potential application scenarios for soft pneumatic actuators (SPAs). [ABSTRACT FROM AUTHOR]

The underlying pathogenesis of neurological sequelae in post-COVID-19 patients remains unclear. Here, we used multidimensional spatial immune phenotyping and machine learning methods on brains from initial COVID-19 survivors to identify the biological correlate associated with previous SARS-CoV-2 challenge. Compared to healthy controls, individuals with post-COVID-19 revealed a high percentage of TMEM119+P2RY12+CD68+Iba1+HLA-DR+CD11c+SCAMP2+ microglia assembled in prototypical cellular nodules. In contrast to acute SARS-CoV-2 cases, the frequency of CD8+ parenchymal T cells was reduced, suggesting an immune shift toward innate immune activation that may contribute to neurological alterations in post-COVID-19 patients. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to investigate the effects of a pigment coating on the mechanical properties of fluting paper. Design/methodology/approach: Two different calcium carbonate pigments were used in the preparation of the coated color, precipitated calcium carbonate (PCC) and ground calcium carbonate (GCC). Fluting paper produced by recycling waste paper was used as base paper. The effects of PCC and GCC pigments on mechanical properties were compared. Ring crush test (RCT), corrugating medium test (CMT), corrugating crush test (CCT), tensile and burst strength tests were applied to the coated papers, and the results were compared to the mechanical properties of base paper. Findings: The tensile and burst indices of the coated papers were found to be higher than base papers about 13.9% and 6.05%, respectively. While the coating process positively affected the RCT and CCT values, it did not show a significant impact on the CMT values. GCC, one of the pigments used in coating colors, had a more effective effect on the mechanical properties of fluting papers compared to PCC. Originality/value: These results suggest that coating of fluting papers has a positive effect on mechanical properties and the use of GCC as a pigment is more effective than PCC. [ABSTRACT FROM AUTHOR]

The rapid growth of tourism necessitates sustainable resource management and effective strategies to ensure sustainable development and minimize detrimental impacts on destinations. By synthesizing existing research, this article contributes to a holistic understanding of Tourism Carrying Capacity (TCC) and its various components, aiding policymakers, planners, and stakeholders in making informed decisions for sustainable development. This research reviews CC assessment methods and formulas, focusing on Physical Carrying Capacity (PCC), Effective Carrying Capacity (ECC), and Real Carrying Capacity (RCC). Moreover, this study delves into the evolving notion of limiting factors, examining how factors such as infrastructure, resource availability, socio-cultural aspects, and environmental resilience interact to determine carrying capacity thresholds in various research realms. By synthesizing existing methodologies and formulas, this research bridges the gap between theoretical frameworks and practical implementation, fostering sustainable tourism practices that preserve natural and cultural assets while fostering economic growth. This work further advances the existing formula for TCC calculation in complex systems by providing a fresh set of correction factors (Cf) and Management capacities (Mc) and providing all possible values for calculating space for the displacement(V/A) of tourists in different types of destinations. [ABSTRACT FROM AUTHOR]

The adoption of carbon capture systems presents a pivotal strategy for mitigating greenhouse gas emissions, notably carbon dioxide. Nevertheless, the substantial surge in energy consumption associated with such systems remains a significant challenge. Addressing this challenge necessitates the integration of renewable energy sources. This study is dedicated to optimizing the conventional post-combustion carbon capture configuration, focusing on energy, exergy, and exergoeconomic considerations. The optimized configuration showcases a noteworthy 10 % reduction in overall energy penalties compared to its conventional counterpart, primarily attributed to diminished energy utilization in the reboiler. To achieve absolute sustainability and eliminate energy penalties in the optimized configuration, integration of a parabolic trough collector for steam provision to the reboiler and photovoltaic solar collectors for powering the plant’s equipment was undertaken. Furthermore, the incorporation of solar thermal storage tanks and batteries enables the storage of excess heat and electricity, ensuring operational continuity for up to 13 h in the absence of sunlight, such as during nighttime. The final optimized configuration manifests a commendable 14 % enhancement in exergoeconomic performance relative to the conventional configuration, thereby realizing zero energy penalties. This achievement renders the optimized configuration a compelling and viable choice for carbon capture units.

Abstract Background Evidence continues to accumulate regarding the potential long-term health consequences of COVID-19 in the population. To distinguish between COVID-19-related symptoms and health limitations from those caused by other conditions, it is essential to compare cases with community controls using prospective data ensuring case-control status. The RESPIRA study addresses this need by investigating the lasting impact of COVID-19 on Health-related Quality of Life (HRQoL) and symptomatology in a population-based cohort in Costa Rica, thereby providing a robust framework for controlling HRQoL and symptoms. Methods The study comprised 641 PCR-confirmed, unvaccinated cases of COVID-19 and 947 matched population-based controls. Infection was confirmed using antibody tests on enrollment serum samples and symptoms were monitored monthly for 6 months post-enrolment. Administered at the 6-month visit (occurring between 6- and 2-months post-diagnosis for cases and 6 months after enrollment for controls), HRQoL and Self-Perceived Health Change were assessed using the SF-36, while brain fog, using three items from the Mental Health Inventory (MHI). Regression models were utilized to analyze SF-36, MHI scores, and Self-Perceived Health Change, adjusted for case/control status, severity (mild case, moderate case, hospitalized) and additional independent variables. Sensitivity analyses confirmed the robustness of the findings. Results Cases showed significantly higher prevalences of joint pain, chest tightness, and skin manifestations, that stabilized at higher frequencies from the fourth month post-diagnosis onwards (2.0%, 1.2%, and 0.8% respectively) compared to controls (0.9%, 0.4%, 0.2% respectively). Cases also exhibited significantly lower HRQoL than controls across all dimensions in the fully adjusted model, with a 12.4 percentage-point difference [95%CI: 9.4-14.6], in self-reported health compared to one year prior. Cases reported 8.0% [95%CI: 4.2, 11.5] more physical limitations, 7.3% [95%CI: 3.5, 10.5] increased lack of vitality, and 6.0% [95%CI: 2.4, 9.0] more brain fog compared to controls with similar characteristics. Undiagnosed cases detected with antibody tests among controls had HRQoL comparable to antibody negative controls. Differences were more pronounced in individuals with moderate or severe disease and among women. Conclusions PCR-confirmed unvaccinated cases experienced prolonged HRQoL reductions 6 months to 2 years after diagnosis, this was particularly the case in severe cases and among women. Mildly symptomatic cases showed no significant long-term sequelae.

Abstract Background The person-centered care (PCC) approach plays a fundamental role in ensuring quality healthcare. The Person-Centered Care Assessment Tool (P-CAT) is one of the shortest and simplest tools currently available for measuring PCC. The objective of this study was to conduct a systematic review of the evidence in validation studies of the P-CAT, taking the “Standards” as a frame of reference. Methods First, a systematic literature review was conducted following the PRISMA method. Second, a systematic descriptive literature review of validity tests was conducted following the “Standards” framework. The search strategy and information sources were obtained from the Cochrane, Web of Science (WoS), Scopus and PubMed databases. With regard to the eligibility criteria and selection process, a protocol was registered in PROSPERO (CRD42022335866), and articles had to meet criteria for inclusion in the systematic review. Results A total of seven articles were included. Empirical evidence indicates that these validations offer a high number of sources related to test content, internal structure for dimensionality and internal consistency. A moderate number of sources pertain to internal structure in terms of test-retest reliability and the relationship with other variables. There is little evidence of response processes, internal structure in measurement invariance terms, and test consequences. Discussion The various validations of the P-CAT are not framed in a structured, valid, theory-based procedural framework like the “Standards” are. This can affect clinical practice because people’s health may depend on it. The findings of this study show that validation studies continue to focus on the types of validity traditionally studied and overlook interpretation of the scores in terms of their intended use.

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AbstractObjectiveDesignStudy sampleResultsConclusionThis project sought to investigate the impact of a multi-national peer learning initiative in facilitating a student-led conference on person-centred care (PCC). The primary objective was to assess students’ comprehension of PCC elements before and after engaging in the opportunity, with a concurrent evaluation of the efficacy of the opportunity.A mixed-methods study protocol was followed. Following the conference, participants completed a four-part survey including (a) demographics, (b) retrospective pre-post Likert scale, (c) Likert rating of conference experience and (d) five open-ended questions.One hundred and four participants (92.4% female) with a mean age of 21 years (0.07 SD) participated in the study.A significant difference in awareness pre-post conference was demonstrated across all topics (WSR, p < 0.001) with participants satisfied with the conference. Qualitative analysis revealed three main themes: (a) application of PCC; (b) perspectives of PCC; and () barriers to PCC; with nine sub-themes.The conference was beneficial in enhancing students’ awareness of topics and principles of PCC. Innovative pedagogical approaches should be considered in order to enhance healthcare education allowing future clinicians to better meet the dynamic needs of their clients. [ABSTRACT FROM AUTHOR]

The severe acute respiratory syndrome coronavirus 2 virus has, up to the time of this article, resulted in >770 million cases of COVID-19 illness worldwide, and approximately 7 million deaths, including >1.1 million in the United States. Although defined as a respiratory virus, early in the pandemic, it became apparent that considerable numbers of people recovering from COVID-19 illness experienced persistence or new onset of multi-system health problems, including neurologic and cognitive and behavioral health concerns. Persistent multi-system health problems are defined as Post-COVID-19 Condition (PCC), Post-Acute Sequelae of COVID-19, or Long COVID. A significant number of those with PCC report cognitive problems. This paper reviews the current state of scientific knowledge on persisting cognitive symptoms in adults following COVID-19 illness. A brief history is provided of the emergence of concerns about persisting cognitive problems following COVID-19 illness and the definition of PCC. Methodologic factors that complicate clear understanding of PCC are reviewed. The review then examines research on patterns of cognitive impairment that have been found, factors that may contribute to increased risk, behavioral health variables, and interventions being used to ameliorate persisting symptoms. Finally, recommendations are made about ways neuropsychologists can improve the quality of existing research. [ABSTRACT FROM AUTHOR]

This research focuses on improving internet connection stability at the Network Laboratory of JTIK, Faculty of Engineering, Universitas Negeri Makassar. The study aims to address the challenges of disruptions and instability frequently faced by users of Telkom WiFi in the laboratory, causing significant disruptions in internet activities. This instability is exacerbated by simultaneous internet usage, leading to network overload and bandwidth competition among users, ultimately reducing the overall network performance. As a solution, the research proposes the implementation of a network system that integrates Telkom ISP and 3 LTE using the PCC method. The system is equipped with a failover mechanism that automatically redirects the network connection to the active ISP when issues are detected. Additionally, the research categorizes users into admin lecturers and students, imposing bandwidth limitations specifically for students to prevent excessive network traffic. Three in-depth testing scenarios were conducted, demonstrating that the system smoothly redirects internet connections to the active ISP during issues, ensuring uninterrupted and effective internet access for users. [ABSTRACT FROM AUTHOR]

BACKGROUND: The emergence and prevalence of post-COVID conditions (PCC) has presented health care providers with an urgent need to determine best practices for treatment and rehabilitation of this condition. CASE PRESENTATION: A 43-year-old female with PCC presents to physical therapy via telerehabilitation. Primary complaints included chest pain, throat pain, postexertional malaise (PEM), and breathing dysfunction. Therapeutic intervention included individually titrated exercise and activity to address symptoms and limitations, through a pain neuroscience education approach. OUTCOME: The patient demonstrated improvements in her 30-second sit to stand (mean change: 11 repetitions), resting heart rate (mean change: −6 bpm), patient-specific functional scale (mean change 1.7), and global rating of change score of 6.5. DISCUSSION: The patient made objective and subjective improvements in function and was satisfied with her telerehabilitation. This case demonstrates the feasibility of the telehealth setting and clinical utility of pain neuroscience education as the basis for the physical therapy management of PCC. JOSPT Cases 2024;4(2):64-71. Epub 2 May 2024. doi:10.2519/josptcases.2024.0004 [ABSTRACT FROM AUTHOR]

Background: The person-centered care (PCC) approach plays a fundamental role in ensuring quality healthcare. The Person-Centered Care Assessment Tool (P-CAT) is one of the shortest and simplest tools currently available for measuring PCC. The objective of this study was to conduct a systematic review of the evidence in validation studies of the P-CAT, taking the "Standards" as a frame of reference. Methods: First, a systematic literature review was conducted following the PRISMA method. Second, a systematic descriptive literature review of validity tests was conducted following the "Standards" framework. The search strategy and information sources were obtained from the Cochrane, Web of Science (WoS), Scopus and PubMed databases. With regard to the eligibility criteria and selection process, a protocol was registered in PROSPERO (CRD42022335866), and articles had to meet criteria for inclusion in the systematic review. Results: A total of seven articles were included. Empirical evidence indicates that these validations offer a high number of sources related to test content, internal structure for dimensionality and internal consistency. A moderate number of sources pertain to internal structure in terms of test-retest reliability and the relationship with other variables. There is little evidence of response processes, internal structure in measurement invariance terms, and test consequences. Discussion: The various validations of the P-CAT are not framed in a structured, valid, theory-based procedural framework like the "Standards" are. This can affect clinical practice because people's health may depend on it. The findings of this study show that validation studies continue to focus on the types of validity traditionally studied and overlook interpretation of the scores in terms of their intended use. [ABSTRACT FROM AUTHOR]

Introduction: Fatigue is a prominent symptom in post-COVID condition (PCC) sequelae, termed "long COVID." Herein, we aim to ascertain the effect of fatigue on psychosocial function in persons living with PCC. Methods: This post hoc analysis evaluated the effects of vortioxetine on measures of fatigue as assessed by the Fatigue Severity Scale (FSS) in psychosocial function as measured by the Sheehan Disability Scale (SDS) in persons with PCC. We also evaluated the change in FSS on psychosocial functioning as measured by the Sheehan Disability Scale (SDS). This post hoc analysis obtained data from a recently published placebo-controlled study evaluating vortioxetine's effect on objective cognitive functions in persons living with PCC. Results: One hundred forty-four participants meeting World Health Organization (WHO) criteria for PCC were included in this analysis. At the end of 8 weeks of vortioxetine treatment, significant improvement of all domains was observed for psychosocial functioning. There was a significant between-group difference at treatment endpoint in the family, social, and work SDS subcategories (p < 0.001). There was a statistically significant interaction effect between the treatment condition time point and FSS effect on the SDS social (χ2 = 10.640, p = 0.014) and work (χ2 = 9.342, p = 0.025) categories but a statistically insignificant effect on the family categories ((χ2 = 5.201, p = 0.158)). Discussion: This post hoc analysis suggests that vortioxetine treatment significantly improves psychosocial function in persons with PCC. Our results also indicate that the improvement in psychosocial function was significantly mediated by improvement in measures of fatigue. Our results provide empirical support for recommendations to identify therapeutics for fatigue in persons living with PCC with a broader aim to improve psychosocial function in this common and severely impaired population. [ABSTRACT FROM AUTHOR]

Background: This study integrates patient-centered care (PCC) research and body work studies to understand how a focus on physical and sensorial aspects in the relationship between health care professionals (HPs) and patients contribute to the implementation of PCC. Purpose: To understand how HPs' body work practices contribute to the implementation of PCC, we investigate the meanings HPs ascribe to their and to patients' bodies. The goal is to grasp how these practices and meanings, rooted in unexplored sensorial perceptions, account for the emergence of a relationship of mutual acknowledgment between HPs and patients. Methodology: Thirty-nine in-depth interviews were carried out with HPs, who interact with patients with disabilities in Italian hospitals. Results: HPs engage in different body work practices: adopting a diagnostic gaze and an empathetic gaze, touching, and playing. The diagnostic gaze concurs to create a feeling of promptness between HPs and patients, but also a stronger distance with respect to other practices. The empathetic gaze, touching, and playing are associated with feelings of shared vulnerability and resilience. These shared perceptions and emotions build a common ground and shape a relationship focused on patients' involvement. Practice Implications: Voicing and feedback sessions can be arranged to listen to how HPs interpret their own and patients' bodies. An organizational culture acknowledging emotions should be promoted to sponsor among HPs the consideration of the sensorial aspects of their connection with patients. The value of bricolage should be observed, where the HPs feel free to readjust tools, spaces, and routines. Sensitivity training exercises should be arranged to understand the interactions with patients with disabilities. [ABSTRACT FROM AUTHOR]

Resumo A produção dos territórios periféricos em São Paulo se alterou com a crise do assalariamento, a mudança de perfil socioeconômico, o acesso ao crédito, as políticas públicas de habitação e a formação de ambiente de mercado multiescalar com arbitragem por operadores de mercados ilegais. Redes de negócios empreendedores, entre eles, a produção imobiliária, surgem como oportunidade de investimento para o dinheiro acumulado nesses territórios. Novas edificações em áreas de abertura de fronteira, de uso rentista, indicam novos arranjos de poder, baseados em ilegalismos que articulam escalas de uma produção para mercado, disputando as formas de associativismo político do período anterior. A metodologia se baseia em fontes secundárias e de pesquisa direta de campo em favelas de São Paulo, realizada por equipe multidisciplinar nos últimos cinco anos.

Resumo Neste artigo, tomamos as frentes de expansão das fronteiras urbanas como espaços privilegiados para apreender os agenciamentos práticos, trama de atores e jogos de poder na produção dos mercados urbanos de terra e moradia em São Paulo. Presença hoje incontornável nesses lugares, os homens do PCC, em interação com essa trama intrincada de atores, atuam como operadores desses mercados e da gestão interna de territórios populares. O fato é que os negócios do PCC se expandem conforme também se expandem ocupações e assentamentos populares. No jogo ambivalente de proteção e extorsão, entre aceitação e coerção, mobilizam recursos de poder nos acordos e disputas, conflitos e acomodações que são constitutivos da produção e gestão dos mercados informais de terra e moradia.

Background: Feature selection (FS), a crucial preprocessing step in machine learning, greatly reduces the dimension of data and improves model performance. This paper focuses on selecting features for medical data classification. Methods: In this work, a new form of ensemble FS method called weighted rank difference ensemble (WRD-Ensemble) has been put forth. It combines three FS methods to produce a stable and diverse subset of features. The three base FS approaches are Pearson’s correlation coefficient (PCC), reliefF, and gain ratio (GR). These three FS approaches produce three distinct lists of features, and then they order each feature by importance or weight. The final subset of features in this study is chosen using the average weight of each feature and the rank difference of a feature across three ranked lists. Using the average weight and rank difference of each feature, unstable and less significant features are eliminated from the feature space. The WRD-Ensemble method is applied to three medical datasets: chronic kidney disease (CKD), lung cancer, and heart disease. These data samples are classified using logistic regression (LR). Results: The experimental results show that compared to the base FS methods and other ensemble FS methods, the proposed WRD-Ensemble method leads to obtaining the highest accuracy value of 98.97% for CKD, 93.24% for lung cancer, and 83.84% for heart disease. Conclusion: The results indicate that the proposed WRD-Ensemble method can potentially improve the accuracy of disease diagnosis models, contributing to advances in clinical decision-making.

The mechanistic-empirical pavement design guide (MEPDG) is a commonly accepted design principles guide that aids in jointed plain concrete pavement (JPCP) design and performance analysis. The MEPDG uses three different design parameter input levels, referred to as level one, level two, and level three, providing increasing confidence in the analysis at the lower numbered levels, which use more locally relevant (level two) or project-specific (level one) data. The state-of-the-art pavement ME software (version 2.6.2) uses MEPDG design principles to predict pavement performance. The three performance indicators for JPCP systems (international roughness index (IRI), joint faulting, and transverse cracking) experience significant changes when simulating under a different input level. The IRI and faulting indicator changed by 78 percent when using inputs varying from level one to level three, with the cracking indicator change being more severe at 87 percent. To accommodate the change in performance indicator values between input level one and input level three, increasing the concrete slab thickness is necessary to achieve comparable pavement performance. An increase in the Portland cement concrete (PCC) layer from one inch to two inches is required when input level three simulations are performed, demonstrating the economic and sustainability benefits of using project-specific level one inputs. Understanding the impact of simulation input levels will help to meet design and sustainability goals and improve the lifecycle performance of JPCP systems.

Congenital isolated factor X deficiency is a very rare autosomal recessive disorder. The incidence of factor X deficiency is 1 in 10,00,000 in the general population. Pregnancy with factor X deficiency may present with recurrent antepartum and peripartum haemorrhage including recurrent episiotomy site haematoma. Complete absence of Factor X is lethal. Here we report a case of severe factor X deficiency who was referred to our institute at 38 week of gestation. She had history of recurrent episiotomy site haematoma in previous pregnancy and multiple episodes of antepartum haemorrhage in present pregnancy. She was managed successfully with a planned haemostatic strategy at our institute. No specific guidelines for managing such cases are available till date. In our opinion, patients with severe Factor X deficiency can have a normal pregnancy outcome with dedicated multidisciplinary approach and a planned delivery at a tertiary care center. [ABSTRACT FROM AUTHOR]

This study aims to identify the non-value-adding activities during vehicle stowage operations in automobile terminals and propose a connected automated vehicle (CAV) loading system, a self-driving-car-loading system. Furthermore, the productivity of the CAV loading system is compared with the current loading system. A simulation model of an actual loading system was developed using the software FlexSim. The simulation results showed that the walking time of workers, operation time of shuttle vans, and waiting time occupied a large part of the cycle time in the current operation system. The proposed CAV loading system has eliminated these inefficiencies, and increased productivity by 26.78%. This is the first study to (1) present a self-driving-car-loading system in a simulated automobile terminal of a real-world size, and (2) propose a CAV loading system. Results provide useful insights for the integration of self-driving technology into future automobile port operations. [ABSTRACT FROM AUTHOR]

Background: Feature selection (FS), a crucial preprocessing step in machine learning, greatly reduces the dimension of data and improves model performance. This paper focuses on selecting features for medical data classification. Methods: In this work, a new form of ensemble FS method called weighted rank difference ensemble (WRD-Ensemble) has been put forth. It combines three FS methods to produce a stable and diverse subset of features. The three base FS approaches are Pearson's correlation coefficient (PCC), reliefF, and gain ratio (GR). These three FS approaches produce three distinct lists of features, and then they order each feature by importance or weight. The final subset of features in this study is chosen using the average weight of each feature and the rank difference of a feature across three ranked lists. Using the average weight and rank difference of each feature, unstable and less significant features are eliminated from the feature space. The WRD-Ensemble method is applied to three medical datasets: chronic kidney disease (CKD), lung cancer, and heart disease. These data samples are classified using logistic regression (LR). Results: The experimental results show that compared to the base FS methods and other ensemble FS methods, the proposed WRD-Ensemble method leads to obtaining the highest accuracy value of 98.97% for CKD, 93.24% for lung cancer, and 83.84% for heart disease. Conclusion: The results indicate that the proposed WRD-Ensemble method can potentially improve the accuracy of disease diagnosis models, contributing to advances in clinical decision-making. [ABSTRACT FROM AUTHOR]

Simple Summary: The standard interpretation methods of germline variants in cancer are limited due to overlapping features in constitutional and sporadically derived forms of cancers and the unavailability of key differentiating details in public settings. To address this challenge, we established INT2GRATE (INTegrated INTerpretation of GeRmline And Tumor gEnomes), a multi-institution oncology consortium to advance the integrated application of constitutional and tumor data and share the integrated variant data in a publicly accessible knowledgebase. The aim of our study is to introduce INT2GRATE|HPPGL, a platform for the integrated interpretation of hereditary paraganglioma–pheochromocytoma syndromes (HPPGL). We describe the details of the INT2GRATE|HPPGL Variant Evidence Framework for succinate dehydrogenase (SDHx) genes using key HPPGL personal and family history, as well as tumor-derived evidence. We applied the INT2GRATE|HPPGL Variant Evidence Framework to 8600 variants to programmatically process and share the integrated variant data in ClinVar using a custom-made INT2GRATE variant submission pipeline. This novel integrated variant assessment and data sharing in hereditary cancers is essential to help improve the clinical interpretation of genomic variants and advance precision oncology. Standard methods of variant assessment in hereditary cancer susceptibility genes are limited by the lack of availability of key supporting evidence. In cancer, information derived from tumors can serve as a useful source in delineating the tumor behavior and the role of germline variants in tumor progression. We have previously demonstrated the value of integrating tumor and germline findings to comprehensively assess germline variants in hereditary cancer syndromes. Building on this work, herein, we present the development and application of the INT2GRATE|HPPGL platform. INT2GRATE (INTegrated INTerpretation of GeRmline And Tumor gEnomes) is a multi-institution oncology consortium that aims to advance the integrated application of constitutional and tumor data and share the integrated variant information in publicly accessible repositories. The INT2GRATE|HPPGL platform enables automated parsing and integrated assessment of germline, tumor, and genetic findings in hereditary paraganglioma–pheochromocytoma syndromes (HPPGLs). Using INT2GRATE|HPPGL, we analyzed 8600 variants in succinate dehydrogenase (SDHx) genes and their associated clinical evidence. The integrated evidence includes germline variants in SDHx genes; clinical genetics evidence: personal and family history of HPPGL-related tumors; tumor-derived evidence: somatic inactivation of SDHx alleles, KIT and PDGFRA status in gastrointestinal stromal tumors (GISTs), multifocal or extra-adrenal tumors, and metastasis status; and immunohistochemistry staining status for SDHA and SDHB genes. After processing, 8600 variants were submitted programmatically from the INT2GRATE|HPPGL platform to ClinVar via a custom-made INT2GRATE|HPPGL variant submission schema and an application programming interface (API). This novel integrated variant assessment and data sharing in hereditary cancers aims to improve the clinical assessment of genomic variants and advance precision oncology. [ABSTRACT FROM AUTHOR]

Power quality (PQ) is a consequential factor, which is highly influenced by the functioning of the transmission and distribution network. In the distribution systems, voltage swells, sags, harmonics and flickers are regarded as major power quality issues. The Static Synchronous Compensator (STATCOM) is one among the specialized power devices, which has gained considerable interest for its capacity of enhancing the performance of power systems. This paper analyses the power quality issues of a photovoltaic (PV) system adopting a STATCOM-based five-level Modular Multilevel Converter (MMC). An interleaved quadratic boost converter (QBC) is employed in this work, which escalates the PV output in a wider range. An Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is employed for obtaining the fast, efficient and flexible control of the DC-DC converter. The MMC plays a crucial part in mitigating power quality issues as it has the beneficial impacts such as scalability, power quality and modularity. In this approach, a five-level MMC is implemented, which transfers active power to the load by maintaining the power factor constant. The reference current generation of MMC is carried out by a hybrid Genetic Algorithm-Radial Basis Function Neural Network (GA-RBFNN) algorithm and the pulses of MMC are generated through a hysteresis controller. It provides improved training speed and convergence along with enhanced operating efficiency of the network. The output of five-level MMC is fed to a transformer-coupled LC filter. The simulations are carried out in Matlab and a minimized Total Harmonic Distortion (THD) of 1.12% is obtained. [ABSTRACT FROM AUTHOR]

The mechanistic-empirical pavement design guide (MEPDG) is a commonly accepted design principles guide that aids in jointed plain concrete pavement (JPCP) design and performance analysis. The MEPDG uses three different design parameter input levels, referred to as level one, level two, and level three, providing increasing confidence in the analysis at the lower numbered levels, which use more locally relevant (level two) or project-specific (level one) data. The state-of-the-art pavement ME software (version 2.6.2) uses MEPDG design principles to predict pavement performance. The three performance indicators for JPCP systems (international roughness index (IRI), joint faulting, and transverse cracking) experience significant changes when simulating under a different input level. The IRI and faulting indicator changed by 78 percent when using inputs varying from level one to level three, with the cracking indicator change being more severe at 87 percent. To accommodate the change in performance indicator values between input level one and input level three, increasing the concrete slab thickness is necessary to achieve comparable pavement performance. An increase in the Portland cement concrete (PCC) layer from one inch to two inches is required when input level three simulations are performed, demonstrating the economic and sustainability benefits of using project-specific level one inputs. Understanding the impact of simulation input levels will help to meet design and sustainability goals and improve the lifecycle performance of JPCP systems. [ABSTRACT FROM AUTHOR]

Introduction: The post-COVID-19 condition (PCC) is characterized by persistent, distressing symptoms following an acute COVID-19 infection. These symptoms encompass various domains, including hedonic tone, which is critical for overall well-being. Furthermore, obesity is both a risk factor for COVID-19 and PCC and associated with impaired hedonic tone. This study aims to investigate whether elevated body mass index (BMI) is associated with hedonic tone in persons with PCC. Methods: We perform a post hoc analysis of a randomized, double-blind, placebo-controlled clinical trial investigating the impact of vortioxetine on cognitive impairment in persons with PCC. Statistical analysis of baseline data using a generalized linear model was undertaken to determine the relationship of BMI to hedonic tone measured by Snaith-Hamilton Pleasure Scale (SHAPS) scores. The model was adjusted for covariates including age, sex, race, suspected versus confirmed COVID-19 cases, alcohol amount consumed per week, and annual household income. Results: The baseline data of 147 participants were available for analysis. BMI had a statistically significant positive association with baseline SHAPS total scores (β = 0.003, 95% CI [6.251E-5, 0.006], p = 0.045), indicating elevated BMI is associated with deficits in self-reported reward system functioning. Conclusion: Higher BMI is associated with greater deficits in hedonic tone in persons with PCC, which may impact reward functioning processes such as reward prediction and processing. The mediatory effect of BMI on reward function underscores the need to investigate the neurobiologic interactions to elucidate preventative and therapeutic interventions for persons with PCC. Therapeutic development targeting debilitating features of PCC (e.g., motivation, cognitive dysfunction) could consider stratification on the basis of baseline BMI. Trial Registration Number: NCT05047952. [ABSTRACT FROM AUTHOR]

The current food industry uses Good Manufacturing Practices (GMP) and the Hazard Analysis and Critical Control Points (HACCP) system as tools to help provide and maintain safety and quality parameters within treatment facilities. A basic diagnosis was carried out in a farm in the banana sector, in relation to the GMP according to resolution 2674 of 2013, and the HACCP system to determine hazards, CCPs, CL and preventive measures in the harvest of the banana (Musa paradisiaca). A typical case of banana production was studied where each stage of the section was submitted and the principles of HACCP were applied. As main results, the weaknesses and virtues that the farm presented were determined in the GMP based on resolution 2674 of 2013 and in the HACCP plan the dangers, risks, limits and critical control points and corrective measures were analyzed for all the stages. It was concluded that, although the farm does not have the GMP implementation plans and the HACCP system; It supplied and managed the parameters established by the programs in such a way that the product met high standards of safety and quality, with great added value, export type. [ABSTRACT FROM AUTHOR]

Efficient point cloud compression is essential for applications like virtual and mixed reality, autonomous driving, and cultural heritage. This paper proposes a deep learning-based inter-frame encoding scheme for dynamic point cloud geometry compression. We propose a lossy geometry compression scheme that predicts the latent representation of the current frame using the previous frame by employing a novel feature space inter-prediction network. The proposed network utilizes sparse convolutions with hierarchical multiscale 3D feature learning to encode the current frame using the previous frame. The proposed method introduces a novel predictor network for motion compensation in the feature domain to map the latent representation of the previous frame to the coordinates of the current frame to predict the current frame’s feature embedding. The framework transmits the residual of the predicted features and the actual features by compressing them using a learned probabilistic factorized entropy model. At the receiver, the decoder hierarchically reconstructs the current frame by progressively rescaling the feature embedding. The proposed framework is compared to the state-of-the-art Video-based Point Cloud Compression (V-PCC) and Geometry-based Point Cloud Compression (G-PCC) schemes standardized by the Moving Picture Experts Group (MPEG). The proposed method achieves more than 88% BD-Rate (Bjøntegaard Delta Rate) reduction against G-PCCv20 Octree, more than 56% BD-Rate savings against G-PCCv20 Trisoup, more than 62% BD-Rate reduction against V-PCC intra-frame encoding mode, and more than 52% BD-Rate savings against V-PCC P-frame-based inter-frame encoding mode using HEVC. These significant performance gains are cross-checked and verified in the MPEG working group. [ABSTRACT FROM AUTHOR]

Mozambique is becoming recognised as an emerging hub for cocaine trafficking, with links stretching back to Brazil. The arrest of a well-known associate of Brazil's Primeiro Comando da Capital (PCC) suggests the emergence of a new 'lusophone route' driven by the group. Mozambique's connection to other illicit flows – heroin and methamphetamines from the Makran Coast, and natural resources moving outward – provides the infrastructure to begin moving a new commodity through the country, however the PCC should not expect a silent partner in Mozambique. Political elites have played a key role in other illicit flows, and there is no reason to suggest cocaine would be any different. [ABSTRACT FROM AUTHOR]

Hydrogen has been considered a future energy carrier for decades and the demand for hydrogen in refineries is always upward due to the revival of new technologies. The steam methane reforming method is frequently employed because of its high hydrogen generation efficiency at a cheap cost and minimal environmental footprint. However, depending on the type of feedstock, one unit of hydrogen generates 9e10 units of CO2 that need to be treated for environmental sustainability. Therefore, the optimization of hydrogen production and CO2 capture is critical to address the issue. The simulation research was conducted to anticipate and optimize steam reforming using Aspen HYSYS. A conversion-type reactor was used to develop this simulation-based model. The primary goal of this work is to investigate and optimize hydrogen production efficiency while mitigating CO2 by varying process parameters. The CO2 capture efficiency was investigated at the different yields for hydrogen production and a maximum of 98.8 % absorption of the CO2 was achieved using the carbon capture system proposed in the current study. Later, the Aspen Energy Analyzer tool revealed potential improvements for energy and cost optimization. [ABSTRACT FROM AUTHOR]

The impact of Post COVID-19 Condition (PCC) is ongoing despite the declaration that the 2019 COVID-19 pandemic has ended. In this study, we explore the prevalence of PCC among healthcare workers (HCWs) in four African Countries and its influence on their professional performance. This study was conducted as an online cross-sectional survey of healthcare workers from four African countries (Cameroon, Egypt, Nigeria, and Somalia) between the 20th of December 2021 to 12th of January 2022. We determined the prevalence of PCC based on the WHO case definition and assessed variables associated with a higher prevalence of PCC in these countries using univariable and multivariable logistic regression analyses. A total of 706 HCWs from four African countries were included in this survey. Most of the HCWs were aged between 18–34 years (75.8%, n = 535). Our findings showed that 19.5% (n = 138) of the HCWs had tested positive for SARS-CoV-2. However, 8.4% (n = 59) were symptomatic for COVID-19 but tested negative or were never tested. Two-thirds of the HCWs (66.4%, n = 469) have received a COVID-19 vaccine and 80.6% (n = 378) of those vaccinated had been fully vaccinated. The self-reported awareness rate of PCC among the HCWs was 16.1% (n = 114/706) whereas the awareness rate of PCC among COVID-19-positive HCWs was 55.3% (n = 109/197). The prevalence of PCC among HCWs was 58.8% (n = 116). These changes include the self-reported symptoms of PCC which included headache (58.4%, n = 115), fatigue (58.8%, n = 116), and muscle pain (39.6%, n = 78). Similarly, 30% (n = 59) and 20.8% (n = 41) of the HCWs reported the loss of smell and loss of taste long after their COVID-19 infection, respectively. Some HCWs (42%, n = 83) believed that their work performance has been affected by their ongoing symptoms of PCC. There was no significant difference in the prevalence of PCC among the vaccinated and unvaccinated HCWs (p > 0.05). Of the socio-demographic variables, age (older HCWs between 45–54 years; OR:1.7; 95% CI: 1.06, 10.59; p = 0.001) and location (Egypt; OR:14.57; 95% CI: 2.62, 26.76; p = 0.001) were more likely to have experienced PCC than other age groups and countries respectively. The study revealed a low prevalence of PCC among the surveyed HCWs. In addition, it observed the need for adequate medical and psychological support to HCWs with PCC and improved mass advocacy campaigns on PCC.

Drawing inspiration from the intricate soft structures found in nature, soft actuators possess the ability to incrementally execute complex tasks and adapt to dynamic and interactive environments. In particular, the integration of sensor data feedback allows actuators to respond to environmental stimuli with heightened intelligence. However, conventional rigid sensors are constrained by their inherent lack of flexibility. The current manufacturing processes for flexible sensors are complex and fail to align with the inherent simplicity of soft actuators. In this study, to facilitate the straightforward and consistent sensing of soft pneumatic actuators, carbon–polydimethylsiloxane (CPDMS) materials were employed, utilizing 3D printing and laser-cutting techniques to fabricate a flexible sensor with ease. The preparation of standard tensile specimens verified that the sensor exhibits a fatigue life extending to several hundred cycles and determined its gauge factor to be −3.2. Experimental results indicate that the sensor is suitable for application in soft pneumatic actuators. Additionally, a printed circuit board (PCB) was fabricated and the piecewise constant curvature (PCC) kinematic method was utilized to enable real-time pose estimation of the soft pneumatic actuator. Compared with computer vision methods, the pose estimation error obtained by the sensing method is as low as 4.26%. This work demonstrates that this easily fabricated sensor can deliver real-time pose feedback for flexible pneumatic actuators, thereby expanding the potential application scenarios for soft pneumatic actuators (SPAs).

Post-Covid-19 Condition (PCC) is a syndrome comprised of symptoms persisting 3 months or more beyond SARS-CoV-2 primary infection. It is typically characterized by fatigue, cognitive problems and psychiatric symptoms, as well as cardiac symptoms that contribute to exercise intolerance in many. Despite the high prevalence of PCC among those with a prior SARS-CoV-2 infection, there is currently no widely accepted rehabilitation strategy, and many conventional modalities are movement-based. Non-invasive brain stimulation methods such as repetitive transcranial magnetic stimulation (rTMS) may have some potential to alleviate the cognitive and affective symptoms of PCC without reliance on exercise. The purpose of the present study was to explore the feasibility and tolerability of using rTMS to treat symptoms of “brain fog” and affective disturbance among those living with PCC, using a case series design. We enrolled four individuals with PCC following a confirmed SARS-CoV-2 infection, at least 3 months after the resolution of the primary infection. Participants were randomized to 4 sessions of active and 2 sessions of sham intermittent theta-burst stimulation (iTBS); two intensities of iTBS were evaluated: iTBS-300 and iTBS-600. No adverse events occurred in active or sham stimulation; 2 participants reported tingling sensation on the scalp but no other tolerability issues. Trends in symptoms suggested improvements in cognitive interference, quality of life, and anxiety in the majority of participants. In summary, in this case series iTBS was well tolerated among 4 individuals with PCC; active stimulation was associated with positive trends in some primary symptom clusters as compared with sham stimulation. Future studies should examine the effects of iTBS on PCC symptoms in the context of experimental studies and randomized controlled trials.

Background: Both [18F]FDOPA (FDOPA) and [68Ga]DOTATOC PET/CT (DOTATOC) are widely used for detection of pheochromocytomas/paraganglioma (PPGL). However, direct comparisons of the performance of the two tracers are only available in small series. We conducted a retrospective comparative analysis of FDOPA and DOTATOC to assess their sensitivity and accuracy in detecting PPGL when administered based on suspicion of PPGL. We consecutively included patients referred on suspicion of PPGL or PPGL recurrence who were scanned with both FDOPA and DOTATOC. Both scans were reviewed retrospectively by two experienced observers, who were blinded to the final diagnosis. The assessment was made both visually and quantitatively. The final diagnosis was primarily based on pathology. Results: In total, 113 patients were included (97 suspected of primary PPGL and 16 suspected of recurrence). Of the 97 patients, 51 had pheochromocytomas (PCC) (in total 55 lesions) and 6 had paragangliomas (PGL) (in total 7 lesions). FDOPA detected and correctly localized all 55 PCC, while DOTATOC only detected 25 (sensitivity 100% vs. 49%, p < 0.0001; specificity 95% vs. 98%, p = 1.00). The negative predictive value (100% vs. 63%, p < 0.001) and diagnostic accuracy (98% vs. 70%, p < 0.01) were higher for FDOPA compared to DOTATOC. FDOPA identified 6 of 6 patients with hormone producing PGL, of which one was negative on DOTATOC. Diagnostic performances of FDOPA and DOTATOC were similar in the 16 patients with previous PPGL suspected of recurrence. Conclusions: FDOPA is superior to DOTATOC for localization of PCC. In contrast to DOTATOC, FDOPA also identified all PGL but with a limited number of patient cases. [ABSTRACT FROM AUTHOR]