bluuebunny/crossref_metadata_2025 huggingface dataset:
Infective Spondylitis with Epidural Abscess Formation Caused by Roseomonas mucosa: A Case Report and Literature Review
Authors: Lin Zong-Han , Lu Yu-Chang , Wu Kuan-Sheng
Published: May 2023

Roseomonas mucosa (R. mucosa) is a pink-pigmented, aerobic, nonfermentative, slow-growing Gram-negative coccus typically isolated from the natural environment, human skin, and hospital environment. This pathogen, in most circumstances, leads to infections in immunocompromised hosts, but it may sometimes invade immunocompetent individuals. Bacteraemia is the most common form of infection caused by R. mucosa. In contrast, only two case reports have described R. mucosa-related epidural abscess formation and infective spondylitis. In this case report, we shared the history and treatment experience of a 76-year-old female who was diagnosed with infective spondylitis and epidural abscess caused by R. mucosa. She received a local transdermal injection into the lower back to relieve her back pain two months before symptom onset, which was considered to be associated with this infection episode. After admission to the hospital, neurosurgeons performed emergent decompression and debridement. She was treated with intravenous ceftriaxone for four weeks, followed by oral ciprofloxacin for another eight weeks. The patient recovered well without any sequelae and had no relapse of infection at least six months after the end of treatment. In addition to the case report, we reviewed the literature for reported cases caused by R. mucosa. Our experience suggests that clinicians should include R. mucosa as one of the possible healthcare-associated pathogens among individuals who have undergone transdermal procedures. We believe that this article will help clinicians better recognize R. mucosa infection.
Resilience Capability and Capacity in Unexpected Crises: Experiences and Lessons Learned in a Healthcare Organisation during the COVID-19 Pandemic
Authors: Gillberg Nanna , Ahlstrom Linda , Erichsen Andersson Annette , Fallman Sara L. , Degl’Innocenti Alessio , Jonsdottir Ingibjörg H. , Wijk Helle , Wikström Ewa
Published: May 2023

Aim. The current article aims to gain insight into (a) what characterises organisational resilience during an unexpected crisis such as COVID-19 and (b) how organisations respond to developments in their environments. Background. In times of societal crises, such as the COVID-19 pandemic, the resilience of the healthcare organisation is tested. Method. This research is based on a case study in a university hospital and a county hospital in Sweden using surveys with both structured and open answers. Results. The result shows ambiguity and “polarised” experiences, emphasising flexibility vs. structure, clear hierarchical information vs. spaces for peer learning through dialogue, and focus on acute care vs. determination to continue with core operations. Conclusion. The article concludes that the pandemic resulted in paradoxes, tensions, and new experiences in organisational processes and interactions. These create opportunities for learning not only during crises but also for improving nursing management in both acute and planned care. Three relations are important in building organisational resilience in crises: resilience capability, resilience capacity, and sustainable resilience practices. Implications for Nursing Management. Organisational resilience under extraordinary circumstances, such as a pandemic, as well as enhancing the previous literature on nursing management that offer a more individually oriented perspective.
Mathematical Modeling of the Effect of Temperature on the Dynamic Characteristics of a Cantilever Beam with Flexible Root
Authors: Mohammed Sarhan Samaher , Al-Zubaidi Salah
Published: May 2023

This study presents the development of an analytical solution for the dynamic response of a cantilever beam with a flexible root taking into account the influence of temperature. The investigated cantilever beam has a uniform rectangular cross-section with finite lengths. The dynamic response of the cantilever was investigated under three conditions, namely, rigid root, resilient root, and resilient root accompanied by different surrounding temperatures. The selected lengths for the beam were 0.3175, 0.1588, 0.1058, 0.0794, 0.0635, 0.0529, 0.0454, 0.0397, 0.0353, and 0.03175 m. The chosen linear spring coefficients were 0.01, 0.1, 100, and ∞ N/m while rotational spring coefficients were 0.01, 0.1, 100, and ∞ N·m/rad. The surrounding temperatures for the third condition were −100, 25, 100, and 200°C. A MATLAB code was developed to calculate the fundamental natural frequency under different surrounding temperatures and spring coefficients. The proposed mathematical solution was validated with real experimental data and the verification findings revealed a good match between them. For the rigid condition, the finding revealed good matching between the analytical model and experimental results, particularly at the length range of 0.3175−0.1058 m. For the resilient condition, the fundamental natural frequencies were found to be highly affected by decreasing beam length and increased at 100 N/m and 100 N·m/rad and higher coefficients. Finally, there was a reduction in the calculated natural frequencies with increasing temperature.
A Novel First-Order Fuzzy Rules-Based Forecasting System Using Distance Measures Approach for Financial Market Forecasting
Authors: Hassan Shahbaz Gul , Kieuvan Tran Thi , Liu Shuangyin , Garg Harish , Hassan Munawar , Iqbal Shafqat
Published: May 2023

The precise estimates about finance, atmospheric science, power sector, industries, agriculture, and other science help governments and institutions economically in making the relevant policies regarding import-export, demand, consumption, storage, and local industries. Due to the uncertainty and nondeterministic behavior of data series with respect to time, the foremost challenge is to develop and identify the practical method to handle the above stated complex issues. As an illustration, this study presented an analysis of a new fuzzy time-series (FTS) approach and comparison with traditional forecasting models for prediction of gram pulse production. Taking into consideration the theory of fuzzy sets, FTS, fuzzy rules, triangular membership functions, distance measures, and modified weighted average method, a robust and effective fuzzy rules-based methodology was developed for the prediction of time-series data regarding crop production and share prices. Conventional statistical forecasting methods such as Holt’s linear trend, Holt’s exponential trend, and Holt’s damped exponential trend models were also applied on time-series data for comparison. To identify the primacy of modeling and forecasting, the techniques of root mean squared error (RMSE) and mean absolute error (MAE) were used as a criterion. The numerical values of RMSE and MAE such as 106.51 and 74.8897 clearly demonstrated that the proposed fuzzy rules-based method is robust for forecasting of production and market share prices in the environment of uncertainty.
Adaptive Fuzzy Logic-Based Control and Management of Photovoltaic Systems with Battery Storage
Authors: Assem Houria , Azib Toufik , Bouchafaa Farid , Laarouci Cherif , Belhaouas Nasreddine , Hadj Arab Amar
Published: May 2023

Renewable energy sources (RESs) such as solar photovoltaic (PV) systems are increasingly used as distributed generation for replacing the conventional energy. At the same time, energy storage systems like battery (BAT) must be applied for maintaining the balance between fluctuating energy production and load consumption. BAT’s state of charge (SOC) should be maintained within their design limits unaffected by RES intermittency and/or load power variations. This necessitates advanced power control and management methodologies for overcoming challenging conditions. This paper discusses and evaluates an optimal DC bus voltage regulation approach: an intelligent controller using an adaptive fuzzy logic controller (FLC) and a novel supervisory power management strategy for PV systems with BAT. The objectives are to keep a stable power flow in the system and guarantee the continuity of service by ensuring that the system components do not exceed their limits. In this manner, the DC bus voltage regulation of the PV/BAT system can be improved in comparison with conventional regulation. Therefore, the most important contributions of this work are as follows. (1) Development of comprehensive and modular novel energy management system (EMS): its originality is related to the inclusion of the control system limits with faster SOC balancing and smaller DC bus voltage fluctuation. (2) Providing a simple power flow management implementation that considers the optimal energy flow between PV system, BAT system, and load: a balance between minimal energy flow in the connecting line and the least requirements of BAT capacity is kept, reducing component constraints with a very straightforward structure. (3) Furthermore, FLC offers high robustness and smooth performances. FLC is added to the control strategy design requirements to reduce DC bus voltage deviation. (4) Real-time simulation/experimentation-based complete cases utilizing Matlab/Simulink and DSpace are illustrated to testify the effectiveness of the proposed FLC and EMS.
Supplementary Figure S3 from Safety and clinical response to combined immunotherapy with autologous iNKT cells and PD-1+CD8+ T cells in patients failing first-line chemotherapy in stage IV pancreatic cancer
Authors: Wang Jing , Cheng Xiaobo , Jin Yanling , Xia Bili , Qin Ran , Zhang Wei , Hu Huiliang , Mao Xiaoting , Zhou Liting , Yan Jia , Zhang Xiaoyan , Xu Jianqing
Published: May 2023

Gating strategy to detect CD4+ T, CD8+ T, B and NK cells by flow cytometry. Only living cells were included in the analysis (A). Changing in percentages of CD4+ T, CD8+ T, B, and NK cells during treatment are shown in panels B, C, D and E respectively.
Escritos e vividos: educação, pluralidade e laicidade do estado
Authors:   Universidade de São Paulo. Faculdade de Educação, Fischmann Roseli
Published: May 2023

Este livro reúne artigos acadêmicos, textos de jornal, entrevistas, conferências e outros escritos e vividos de Roseli Fischmann, além de um conjunto de testemunhos que a homenageiam por ocasião da outorga do título de Professora Emérita da Faculdade de Educação da Universidade de São Paulo.
Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging
Authors: de Havenon Adam , Parasuram Nethra R. , Crawford Anna L. , Mazurek Mercy H. , Chavva Isha R. , Yadlapalli Vineetha , Iglesias Juan E. , Rosen Matthew S. , Falcone Guido J. , Payabvash Seyedmehdi , Sze Gordon , Sharma Richa , Schiff Steven J. , Safdar Basmah , Wira Charles , Kimberly William T. , Sheth Kevin N.
Published: May 2023

Background

White matter hyperintensity (WMH) on magnetic resonance imaging (MRI) of the brain is associated with vascular cognitive impairment, cardiovascular disease, and stroke. We hypothesized that portable magnetic resonance imaging (pMRI) could successfully identify WMHs and facilitate doing so in an unconventional setting.

Methods and Results

In a retrospective cohort of patients with both a conventional 1.5 Tesla MRI and pMRI, we report Cohen's kappa (κ) to measure agreement for detection of moderate to severe WMH (Fazekas ≥2). In a subsequent prospective observational study, we enrolled adult patients with a vascular risk factor being evaluated in the emergency department for a nonstroke complaint and measured WMH using pMRI. In the retrospective cohort, we included 33 patients, identifying 16 (49.5%) with WMH on conventional MRI. Between 2 raters evaluating pMRI, the interrater agreement on WMH was strong (κ=0.81), and between 1 rater for conventional MRI and the 2 raters for pMRI, intermodality agreement was moderate (κ=0.66, 0.60). In the prospective cohort we enrolled 91 individuals (mean age, 62.6 years; 53.9% men; 73.6% with hypertension), of which 58.2% had WMHs on pMRI. Among 37 Black and Hispanic individuals, the Area Deprivation Index was higher (versus White, 51.8±12.9 versus 37.9±11.9;
P
<0.001). Among 81 individuals who did not have a standard‐of‐care MRI in the preceding year, we identified WMHs in 43 of 81 (53.1%).

Conclusions

Portable, low‐field imaging could be useful for identifying moderate to severe WMHs. These preliminary results introduce a novel role for pMRI outside of acute care and the potential role for pMRI to reduce disparities in neuroimaging.
“A sweete cup hath rendered many of us wanton and too active”: The Perils and Promises of Liberty in the Providence Plantations, 1636–1656
Authors: Higdon Cory D.
Published: May 2023

The intellectual history of religious liberty redounds with complexity. This article chronicles the early decades of the Providence Plantations, what eventually became Rhode Island, as a historical frame of reference for exploring the promises and perils that liberty of conscience wrought in the Narragansett Bay.
An Unpublished Letter from Thomas Carlyle to his Editor in New England, Charles Stearns Wheeler
Authors: Jordan Alexander
Published: May 2023

Considerable scholarly attention has been lavished on the relationship between the great Victorian man of letters Thomas Carlyle (1795-1881) and the Transcendentalist luminary Ralph Waldo Emerson, particularly regarding Emerson's role in publishing Carlyle's works in America. However, a newly discovered letter underlines the fact that Emerson did not act alone, having received crucial support in editing Carlyle's works from Charles Stearns Wheeler, a young Harvard graduate.
New and rare lichens of the family Megasporaceae discovered in Poland
Authors: SZCZEPAŃSKA KATARZYNA , KUKWA MARTIN , GUZOW-KRZEMIŃSKA BEATA , URBANIAK JACEK
Published: May 2023

Based on a revision of historic herbarium material and recently collected specimens, six lichenized fungi of the family Megasporaceae have been identified. Four of them, Aspicilia verrucigera, Oxneriaria supertegens, Sagedia mastrucata and S. zonata are reported for the first time from Poland. Also, we present new localities for two species, Aspicilia goettweigensis and A. polychroma, that have been rarely reported in the country. The characteristics of all these species, as well as their ecology and geographical distribution, are presented and briefly discussed. In addition, nucITS rDNA and mtSSU rDNA were sequenced for some specimens to confirm their identifications.
Notes on Paepalanthus (Eriocaulaceae) from central Brazil and Paraguay
Authors: TROVÓ MARCELO , ECHTERNACHT LÍVIA
Published: May 2023

Paepalanthus balansae, P. lundii, and P. scholiophyllus are morphologically related species growing in swampy areas of central South America, and are frequently misidentified in collections worldwide. We discuss here new and relevant morphological data to elucidate the circumscription of these species. Paepalanthus balansae is maintained as a distinct species following its current circumscription, while the wide morphological variation of P. scholiophyllus is understood here within a broader P. lundii concept and treated as synonymous. We report herein the presence of short lateral branches covered by a few bracts and subtending a single or a few inflorescences for the first time in P. lundii and P. balansae. This character, along with floral details and the scarce molecular data available, reinforce that these species are closely related to Actinocephalus. We also provide nomenclatural adjustments for the types and infrageneric names related to these taxa, along with a distribution map and images.
A long history in a short note—identity and typification of the name Hippion obtusifolium F.W. Schmidt, and synonymy of the species Gentianella obtusifolia (Gentianaceae)
Authors: REICH DIETER , MRÁZ PATRIK , ŠÍDA OTAKAR , GUTERMANN WALTER
Published: May 2023

The description of Hippion obtusifolium F.W. Schmidt was followed by more than 200 years of confusion concerning the identity of this taxon, the origin of the material it is based on, and its typification. Hereby, we briefly summarize this historical development, clarify the typification and the identity of the taxon currently known as Gentianella obtusifolia and designate an epitype to stabilize the application of the name having priority over G. aspera. Additionally, the morphological characterization and geographic distribution of the taxon are discussed and an exhaustive synonymy is provided.
A new combination in Nasa (Loasaceae) from Mesoamerica
Authors: ACUÑA-CASTILLO RAFAEL , WEIGEND MAXIMILIAN
Published: May 2023

N/A
A new species of Acarnus Gray, 1867 (Porifera, Demospongiae, Acarnidae) from NE Brazil
Authors: NASCIMENTO ELIELTON , PINHEIRO ULISSES
Published: May 2023

The synapomorphic character of the genus Acarnus Gray, 1867 is the presence of the cladotylote spicule. Acarnus has 27 valid species worldwide, including five species reported from the Brazilian coast: A. innominatus Gray, 1867, A. nicoleae van Soest, Hooper & Hiemstra, 1991, A. souriei (Lévi, 1952), A. radovani (Boury-Esnault, 1973) and A. toxeata Boury-Esnault, 1973. Here we will describe A. microxeatus sp. nov., whose diagnosis is the presence of smooth microxeas and acanthoxeas, new characters for the genus. We also provide a complete characterization of the skeletal architecture and spicule morphology of A. toxeata, with scanning electron microscopy image (SEM) of the spicule set.
Astrocharis margarita sp. nov., a new snake star (Echinodermata, Ophiuroidea, Euryalidae) from a seamount in the Western Pacific
Authors: XU RONGRONG , XIAO NING , SHA ZHONGLI , SUN SHAOE
Published: May 2023

During the scientific expedition of the R/V Kexue in 2014, a new species belonging to the genus Astrocharis Koehler, 1904 was collected from a seamount near the Yap Trench. Astrocharis margarita sp. nov. is distinguished from the other species of Astrocharis by the following characters: radial shields are partly naked or completely covered by polygonal ossicles, and the body color is uniformly light pink. Maximum Likelihood Tree and Bayesian Tree, based on a concatenated dataset of COI, 16S, and 18S genes analyses, indicated that the monophyly of Astrocharis was not supported, which suggested the genus needs to be revised.
Design a Secure Routing and Monitoring Framework Based on Hybrid Optimization for IoT-Based Wireless Sensor Networks
Authors: Imam Rahmani Mohammad Khalid , Mohammed Moizuddin , Irshad Reyazur Rashid , Yasmin Sadaf , Mishra Swati , Asopa Pooja , Islam Asharul , Ahmad Sultan , Ali Aleem
Published: May 2023

Wireless Sensor Networks (WSNs) have employed in recent years for many different applications and functions. But, it has the critical task to detect the malicious node because node malicious attacks are dangerous attacks, and the concept of a malicious attack is opponents enter the
network, search accidentally, and capture one or more normal nodes. A lot of research developed to overcome this problem, but no precise results are found. In this paper, design a Hybrid Vulture and African Buffalo with Node Identity Verification (HVAB-NIV) model to predict the malicious nodes
in the WSN. The fitness functions of the HVAB-NIV have operated to recognize the energy level of each node and improve the performance of node detection. The developed replica includes three stages that monitor each node, calculate the energy level and detect the malicious node. More than
100 node inputs were initialized in the proposed technique and implemented in the MATLAB tool. The suggested mechanism enhances the performance of malicious node detection and gains good accuracy for detecting nodes also, it saves running time and power consumption. The experimental results
of the developed model has validated with other existing replicas to running time, False Prediction Rate (FPR), detection accuracy, True Prediction Rate (TPR), and power consumption. The developed methods achieve better results by gaining a high rate of accuracy detection, less running time,
and false rate detection.
A New Approach to Predict Tributary Phosphorus Loads Using Machine Learning– and Physics-Based Modeling Systems
Authors: Feng Chang Christina , Astitha Marina , Yuan Yongping , Tang Chunling , Vlahos Penny , Garcia Valerie , Khaira Ummul
Published: May 2023

Tributary phosphorus (P) loads are one of the main drivers of eutrophication problems in freshwater lakes. Being able to predict P loads can aid in understanding subsequent load patterns and elucidate potential degraded water quality conditions in downstream surface waters. We demonstrate the development and performance of an integrated multimedia modeling system that uses machine learning (ML) to assess and predict monthly total P (TP) and dissolved reactive P (DRP) loads. Meteorological variables from the Weather Research and Forecasting (WRF) Model, hydrologic variables from the Variable Infiltration Capacity model, and agricultural management practice variables from the Environmental Policy Integrated Climate agroecosystem model are utilized to train the ML models to predict P loads. Our study presents a new modeling methodology using as testbeds the Maumee, Sandusky, Portage, and Raisin watersheds, which discharge into Lake Erie and contribute to significant P loads to the lake. Two models were built, one for TP loads using 10 environmental variables and one for DRP loads using nine environmental variables. Both models ranked streamflow as the most important predictive variable. In comparison with observations, TP and DRP loads were predicted very well temporally and spatially. Modeling results of TP loads are within the ranges of those obtained from other studies and on some occasions more accurate. Modeling results of DRP loads exceed performance measures from other studies. We explore the ability of both ML-based models to further improve as more data become available over time. This integrated multimedia approach is recommended for studying other freshwater systems and water quality variables using available decadal data from physics-based model simulations.
Wind Dependencies of Deep Cycle Turbulence in the Equatorial Cold Tongues
Authors: Moum James N. , Smyth William D. , Hughes Kenneth G. , Cherian Deepak , Warner Sally J. , Bourlès Bernard , Brandt Peter , Dengler Marcus
Published: May 2023

Several years of moored turbulence measurements from χpods at three sites in the equatorial cold tongues of Atlantic and Pacific Oceans yield new insights into proxy estimates of turbulence that specifically target the cold tongues. They also reveal previously unknown wind dependencies of diurnally varying turbulence in the near-critical stratified shear layers beneath the mixed layer and above the core of the Equatorial Undercurrent that we have come to understand as deep cycle (DC) turbulence. Isolated by the mixed layer above, the DC layer is only indirectly linked to surface forcing. Yet, it varies diurnally in concert with daily changes in heating/cooling. Diurnal composites computed from 10-min averaged data at fixed χpod depths show that transitions from daytime to nighttime mixing regimes are increasingly delayed with weakening wind stress τ. These transitions are also delayed with respect to depth such that they follow a descent rate of roughly 6 m h−1, independent of τ. We hypothesize that this wind-dependent delay is a direct result of wind-dependent diurnal warm layer deepening, which acts as the trigger to DC layer instability by bringing shear from the surface downward but at rates much slower than 6 m h−1. This delay in initiation of DC layer instability contributes to a reduction in daily averaged values of turbulence dissipation. Both the absence of descending turbulence in the sheared DC layer prior to arrival of the diurnal warm layer shear and the magnitude of the subsequent descent rate after arrival are roughly predicted by laboratory experiments on entrainment in stratified shear flows.

Significance Statement

Only recently have long time series measurements of ocean turbulence been available anywhere. Important sites for these measurements are the equatorial cold tongues where the nature of upper-ocean turbulence differs from that in most of the world’s oceans and where heat uptake from the atmosphere is concentrated. Critical to heat transported downward from the mixed layer is the diurnally varying deep cycle of turbulence below the mixed layer and above the core of the Equatorial Undercurrent. Even though this layer does not directly contact the surface, here we show the influence of the surface winds on both the magnitude of the deep cycle turbulence and the timing of its descent into the depths below.
Evaluating Medium-Range Forecast Performance of Regional-Scale Circulation Patterns
Authors: Obarein Omon A. , Lee Cameron C. , Smith Erik T. , Sheridan Scott C.
Published: May 2023

Accurate subseasonal-to-seasonal (S2S) weather forecasts are crucial to making important decisions in many sectors. However, significant gaps exist between the needs of society and what forecasters can produce, especially at weekly and longer lead times. We hypothesize that by clustering atmospheric states into a number of predefined categories, the noise can be reduced and, consequently, medium-range forecasts can be improved. Self-organizing map (SOM)-based clustering was used on daily mean sea level pressure (MSLP) data from the North American Regional Reanalysis to categorize the synoptic-scale circulation for eastern North America from 1979 to 2016 into 28 discrete patterns. Then, using two goodness-of-fit metrics, the relative skill of four different forecasting methods over a 90-day lead time was studied: 1) a circulation pattern (CP) forecast, 2) raw forecast output from the Climate Forecast System (CFS) operated by the National Centers for Environmental Prediction (NCEP), 3) a simple climatology forecast, and 4) a simple persistence forecast. As expected, forecast skill of both the CP forecast and the raw CFS forecast generally decreased rapidly from the first day, coming to parity with the skill of climatology after 10–12 days when using correlation, and at 7–10 days when using the root-mean-square error (RMSE). Most importantly, this study found that the CP forecast was the most skillful forecast method over the 8–11-day lead time when using RMSE. On a spatial basis, the skill of the CP forecast and the raw CFS decreases latitudinally from north to south. This study thus demonstrates the potential utility of categorical or circulation pattern–based forecasting at 1–2-week lead times.
Dataset dependency of low-density lipoprotein-cholesterol estimation by machine learning
Authors: Hidekazu Ishida , Nagasawa Hiroki , Yamamoto Yasuko , Doi Hiroki , Saito Midori , Ishihara Yuya , Fujita Takashi , Ishida Mariko , Kato Yohei , Kikuchi Ryosuke , Matsunami Hidetoshi , Takemura Masao , Ito Hiroyasu , Saito Kuniaki
Published: May 2023

Objectives

We evaluated the applicability of a machine learning–based low-density lipoprotein-cholesterol (LDL-C) estimation method and the influence of the characteristics of the training datasets.

Methods

Three training datasets were chosen from training datasets: health check-up participants at the Resource Center for Health Science ( N = 2664), clinical patients at Gifu University Hospital ( N = 7409), and clinical patients at Fujita Health University Hospital ( N = 14,842). Nine different machine learning models were constructed through hyperparameter tuning and 10-fold cross-validation. Another test dataset of another 3711 clinical patients at Fujita Health University Hospital was selected as the test set used for comparing and validating the model against the Friedewald formula and the Martin method.

Results

The coefficients of determination of the models trained on the health check-up dataset produced coefficients of determination that were equal to or inferior to those of the Martin method. In contrast, the coefficients of determination of several models trained on clinical patients exceeded those of the Martin method. The means of the differences and the convergences to the direct method were higher for the models trained on the clinical patients' dataset than for those trained on the health check-up participants' dataset. The models trained on the latter dataset tended to overestimate the 2019 ESC/EAS Guideline for LDL-cholesterol classification.

Conclusion

Although machine learning models provide valuable method for LDL-C estimates, they should be trained on datasets with matched characteristics. The versatility of machine learning methods is another important consideration.
Loss-of-Set and Strategy Application on the Menu Task: An Exploratory Study
Authors: Giles Gordon Muir , Marks Timothy S. , Edwards Dorothy Farrar
Published: May 2023

Background. The Menu Task (MT) is an occupational therapy screening measure designed to identify people in need of functional cognitive (FC) assessment. Purpose. To explore whether test-taker strategy selection on the MT is clinically informative. Methods. Using a cross-sectional design we administered assessments of FC including the MT and the After MT interview, cognitive screening measures, and self-report instrumental activities of daily living assessment to a convenience sample of 55 community-dwelling adults. After MT interviews responses were qualitatively characterized as (a) loss of set (e.g., not recognizing that food preferences are irrelevant to task performance), (b) calorie counting, or (c) planning. Findings. Loss of set was associated with poorer performance on most study measures, calorie counting was associated with superior performance on most study measures, and no differences were observed relating to planning. Implications. Determining the test-takers approach to the MT adds information to that provided by the MT itself.
Reflexive Quality Criteria: Questions and Indicators for Purpose-Driven Special Education Qualitative Research
Authors:   The QR Collective*, Banks Joy , González Taucia , Mueller Carlyn , Pacheco Mariana , Scott LaRon A. , Trainor Audrey A.
Published: May 2023

Qualitative research (QR) has gained visibility and acceptance in the field of special education due to early efforts to identify quality indicators focused on technical and methodological aspects of QR. Whereas these indicators focused on credibility and trustworthiness of data, this article articulates additional QR quality indicators to enhance the value and power of researcher reflexivity as a means to expand the capacity of purpose- and equity-driven special education research. First, the need for reflexivity criteria is addressed. Next, reflexivity criteria are operationalized in key questions that engage researchers in self-reflection: (a) Why do QR? (b) By whom, for whom, and with whom is QR being conducted? and (c) Who is affected by the benefits and costs of QR? These questions encourage researchers to grapple with the complexity of experiences, outcomes, and structures associated with special education and ultimately advance more equitable policy and practice.
Phule’s Gulamgiri: Turning Puranic memory on its head
Authors: Gavaskar Mahesh
Published: May 2023

Jotirao Phule’s engagement with the past is rooted in his political subject-position, wherein he was trying to bridge the abject status of the sudradi-atisudras of his time with events in a distant past, which he designated as the source-events of their current condition. Armed with concrete evidence from peasant oral traditions and customs, Phule delineated a normative inversion of the Puranic corpus so as to recalibrate the past with the present. His conscious effort to mould the perceptions of the past to beget a new future was in no small measure a result of the new literate present he was experiencing. It was print literacy that not only made Phule aware of a pre-Aryan past but also made it imaginable for him. Phule’s relation to the past is not straightforward or linear. There was not only a brahmanical past to be exorcised and cordoned off from the present, but also an absent past of Bali that was to be repossessed and rendered present. There was a known, visible past to be rejected and forgotten, and a buried, unacknowledged past to be salvaged and remembered. Thus, for Phule, there was a past within a past. This article describes the relation between the unacknowledged past and the lived present that Phule attempted to re-establish for the sudradi-atisudras.
Armed Conflicts With Al-Qaeda and the Islamic State: The Role of Repression and State Capacity
Authors: Krause Dino
Published: May 2023

What explains the emergence of al-Qaeda and the Islamic State as parties in civil wars? This study provides the first large-N analysis of this question, studying a sample of states in Africa, the Middle East and Asia, 2003–2020, contributing to ongoing debates among peace and conflict scholars about jihadist rebels in civil war. Theoretically, it is argued that higher levels of state repression and states’ military capabilities should impact the preferences of local groups and increase the likelihood of a ‘transnationalization’. On the other hand, it is hypothesized that increases in bureaucratic state capacity should reduce the risk of such transnationalization. A series of penalized logistic regressions yield support for the hypotheses regarding state repression and bureaucratic capacity, but not military state capacity. The findings point towards the importance of bureaucratic capacity building as well as the potentially adverse consequences of excessively repressive counterterrorism strategies.
Study on reactive dyeing in a sustainable nonaqueous medium dyeing system by X-ray electron spectroscopy
Authors: Pei Liujun , Zhu He , Chen Jingru , Shi Wenhua , Wang Jiping , Alebeid Omer Kamal
Published: May 2023

In the nonaqueous medium dyeing system (decamethylcyclopenta siloxane; D5), the bonding between cotton fiber and reactive dye may be influenced by the dyeing medium. To evaluate the dyeing performance of reactive dye in the D5 dyeing system, the fixing of reactive dyes with different structures was studied. Before and after dyeing, the chemical environment of cotton fiber was investigated by X-ray electron spectroscopy, and compared with the spectroscopic method. Compared with traditional reactive dyeing, the color depth of the dyed cotton fabrics and the final fixation of dyes are much higher in the D5 dyeing system. The elements of the cellulose fiber surface are changed after dyeing. Especially for N element, its content is increased after dyeing. After 30 minutes, the final fixation of reactive dye is about 80% by analyzing the account of N. Compared with the undyed cellulose fiber, the peak area of C–C or C–H is gradually increased after dyeing, but the proportion of C–O is decreased with the fixing time. The proportion of O–C–O is not changed much with the fixation time. Therefore, the C–C or C–H chemical environment on the cellulose fiber surface will be changed after dyeing. Therefore, the bonding of dyes and fibers can be analyzed through the change of the C1s chemical environment or the amount of N element before and after dyeing. This investigation successfully developed a method which could evaluate the fixation process in the D5 dyeing system.
Contested Memories: An Imaginary Museum for a Chinese Female Revolutionary Martyr, Liu Hulan
Authors: Wang Xian
Published: May 2023

Over the past few years, the Chinese government has sought to assert ideological dominance and rebuild the legitimacy of the Communist Party regime through control of national memory. Although collective memory is shaped by the ruling government through ideological maneuvering, it is also reinterpreted in literature, media, and art. This article examines both the state-sanctioned narratives and the reproductions of one young female revolutionary martyr, Liu Hulan (1932–1947), to explore how the process of making Liu a martyr contributed to collective memory, how gender and sexuality support or problematize state-sponsored ideology, and how contemporary rewritings of Liu’s martyrdom question state ideology and nationalism. This article establishes an imaginary museum for Liu Hulan, exhibiting official memories and countermemories in juxtaposition. It shows that chastity and traditional gender roles remain constant concerns in the creation and commemoration of female revolutionary martyrs.
The New Testament vs. The Quran: Americans’ Beliefs About the Content of Muslim and Christian Holy Texts
Authors: Ravey Eriksen P. , Boyd Ryan L. , Fetterman Adam K.
Published: May 2023

The stereotypes and biases that people have about various religions may not be applied to just the individuals who belong to those religions, but to the belief systems themselves. We hypothesized that non-Muslim and Muslim Americans would demonstrate biased estimates about the language content of the Quran and New Testament holding positive views towards their relative ingroup and negative views towards the outgroup text. We used two samples ( N1  = 163, N2 = 204) of Americans and the Linguistic Inquiry Word Count Software (LIWC) to test our hypotheses. We determined the differences between the texts across language categories. Participants then rated the categories in terms of their relative frequency across the texts. We compared these ratings to the actual differences between the texts. As hypothesized, participants perceived the ingroup text as positive and the outgroup text as negative. We discuss whether biased beliefs about religious teachings may be separate from but aligned with biases against believers and further contribute to religious stereotypes.
Colombia’s Pro-military Narratives in the Post-peace Agreement
Authors: Delgado M Jorge Eduardo , Lleras Ronderos María Emilia
Published: May 2023

A decade after the start of the peace talks between the Colombian state and the Revolutionary Armed Forces of Colombia (FARC-EP) insurgency, the country’s military has not been immune to the polarised debates surrounding the final 2016 peace agreement, particularly as today the country experiences a significant rise in polarisation, social discontent and organised armed violence that is blamed by multiple sectors of Colombian society on the peace agreement itself. This commentary traces the origins and development of recent pro-military narratives in Colombia, explaining how apprehensions by the military to the 2016 peace agreement translated into a ‘stab-in-the-back’ notion, portraying the military as victims of a betrayal by the civilian leadership. The consequence of this narrative has been a galvanisation of the support of various societal actors of the military, including by politicising the military institution, to defend Colombia’s decades-old militarised national security approach.
What Difference Does a (Disabled) Husband Make? Disabled Veterans, Women, and the Limits of Population Policy in the Third Reich
Authors: Goodwin Christopher Thomas
Published: May 2023

The Nazi regime used state-run marriage mediation of disabled veterans and war widows to align women's marital choices with the Nazi goal of raising the German birth rate. Marriage centers were intended as a gateway to wider acceptance of population policy and to eventually abolish the marriage “free marketplace” in favor of demographic management to create collective outcomes of hereditary fitness. This involved creating new marital and reproductive duties among Germans and channeling this social responsibility to convince Germans to willingly participate in marriage mediation for the greater good. Yet, individual desire and self-reliance in the broader marketplace almost always trumped Nazi policy.
Runner cone drilling and slotting to reduce vortex rope - induced pressure fluctuations in a Francis turbine
Authors: Qin Yonglin , Li Deyou , Zhang Nan , Wang Hongjie , Shi Qian , Wei Xianzhu
Published: May 2023

Pressure fluctuations caused by helical vortex rope in the draft tube is one of the main reasons for the instability of Francis turbines. Previous studies showed that drilling holes on runner cone can reduce the amplitude of pressure fluctuation. In this study, based on the runner cone which has been drilled one hole, two kinds of new runner cones are designed by means of drilling two more holes (2 holes runner cone) and drilling a slot (2 holes and 1 slot runner cone). Pressure fluctuation and flow pattern observation experiments as well as numerical simulations at partial load operation condition in a Francis turbine were carried out for the three types of runner cones. Analyses were performed to reveal the generation mechanism of the low frequency pressure fluctuations. The results showed that low frequency fluctuations are related to the cyclical rotation of helical vortex rope. Holes and slots on the runner cone have little impact on the efficiency of the Francis turbine. Slotting on the runner cone can reduce the amplitude of pressure fluctuation induced by vortex rope to a maximum of 29.41%. Hence, proper slotting on the runner cone can effectively reduce the low-frequency fluctuation caused by vortex rope in Francis turbines. These findings provide a new idea to improve the hydraulic instability of Francis turbines induced by vortex rope.
LINC00294/miR-620/MKRN2 axis provides biomarkers and negatively regulates malignant progression in colorectal carcinoma
Authors: Qi Puliang , Yexie Zhihua , Xue Chen , Huang Guoqiang , Zhao Zhanxue , Zhang Xikun
Published: May 2023

Background

Colorectal carcinoma (CRC) ranks the third most frequent malignancy worldwide. Makorin RING zinc finger-2 (MKRN2) has been identified as a tumor suppressor in CRC, and the bioinformatics prediction indicated that some non-coding RNAs (ncRNAs) that directly or indirectly regulate MKRN2 might play critical roles in CRC progression. This study aimed to analyze the regulatory effect of LINC00294 on CRC progression, and to explore the underlying mechanisms by assessing miR-620 and MKRN2. The potential prognostic value of the ncRNAs and MKRN2 was also investigated.

Methods

The expression of LINC00294, MKRN2, miR-620 was examined by qRT-PCR. Cell counting kit-8 assay was used to assess the proliferation of CRC cells. Transwell assay was used to evaluate the migration, invasion of CRC cells. Kaplan-Meier method and log-rank test were used to perform comparative analysis of overall survival in CRC patients.

Results

Lower expression of LINC00294 was observed in both CRC tissues and cell lines. In CRC cells, LINC00294 overexpression inhibited cell proliferation, migration and invasion, but these effects were directly reversed by the overexpression of miR-620, which was demonstrated as a target of LINC00294. Additionally, MKRN2 was found to be a target gene of miR-620, and might mediate the regulatory function of LINC00294 in CRC progression. In CRC patients, low LINC00294, MKRN2 and high miR-620 expression was associated poor overall survival of CRC.

Conclusions

LINC00294/miR-620/MKRN2 axis had the potential to provide prognostic biomarkers for CRC patients, and negatively regulated the malignant progression of CRC cells, including proliferation, migration and invasion.
Spectrum of Cytomegalovirus (CMV) Infection from a Tertiary Care Neonatal ICU in Resource Limited Settings
Authors: Vijayakumar Panchakshari , Swami Manish , Ulla Mohammed Zaki , Sahoo Tanushree , Devi Usha , Mohanty Pankaj K. , Som Tapas K.
Published: May 2023

Cytomegalovirus (CMV) infection is the most common viral infection in perinatal period, which can occur in neonates from mother, in utero (congenital) via placenta, during birth from birth canal or more commonly postnatally from maternal breast milk or blood product transmission. In premature infants in many instances it can lead to severe manifestations resulting in increased morbidities and mortality. In this case series we share our experience on the clinicodemographic profile for CMV infections in neonatal intensive care unit and subsequent challenges related to its early detection and timely treatment in resource limited settings.
Healthcare Providers’ Experiences of Caring for Patients With COVID-19 Requiring Extracorporeal Membrane Oxygenation Support
Authors: Constantine Lori , DeCicco Danielle , Carpenter Roger D. , Pockl Stephanie , Seachrist Katherine B. , Navia R. Osvaldo
Published: May 2023

Background

Coronavirus 19 (COVID-19) affected healthcare workers (HCW) in ways more than increasing the volume of patients needing care. Increased numbers of patients at younger ages required support with extracorporeal membrane oxygenation (ECMO). Providing this care requires an interdisciplinary team.

Aim

This study explored the experiences of HCW caring for patients with COVID-19 on ECMO.

Methods

Face-to-face semi-structured interviews were conducted via videoconferencing, and transcript comparison was used for the analysis.

Findings

Open coding of the data generated 7 categories including (1) fearing the unknown, (2) confronting challenges in patient and/or family interactions, (3) encountering barriers to providing care, (4) facing moral distress, (5) working through exhaustion, (6) persevering by strengthening teamwork, (7) and acknowledging frustration with non-believers.

Discussion

HCW balanced pessimism and optimism while caring for patient with COVID-19 on ECMO. They used negative experiences caring for these patients to strength teamwork and bonding among peers.

Conclusion

The practice implications for caring for patients with COVID-19 on ECMO include viligance by clinician and organization to protect the wellbeing of healthcare providers, particularly in ICU and ECMO units were moral distress and burnout can be high.
Integrating Bulk-seq and Single-cell-seq Reveals Estrogen and MAPK Pathways Associating with Neuroblastoma Outcome
Authors: Li Xin , Zheng Yanlong , Ge Qiao , Dai Zhenbo , Zhou Dejun , Tian Xiangdong
Published: May 2023

Introduction

Neuroblastoma is the most common extracranial solid tumor in children. Patients with high-risk neuroblastoma have a 5-year survival rate less than 50% after extensive treatment. Signaling pathways control cell fate decisions that dictate the behavior of tumor cells. The deregulation of signaling pathways is etiological in cancer cells. Thus, we speculated that the pathway activity of neuroblastoma contains more prognostic information and therapeutic targets.

Methods

Using a footprint-based method, we calculated the activity of fourteen pathways in neuroblastoma. Through stepwise Cox regression analyses, we established a three-gene prognostic signature whose predictive performance was evaluated by external validation. Combining a single-cell sequencing dataset, the most active pathways in high-risk neuroblastoma were found.

Results

We found that several pathway activities were correlated with neuroblastoma outcomes. We built a three-gene model comprising DLK1, FLT3, and NTRK1, which exhibited superior internal and external performances. We created a nomogram that combines clinical characteristics to aid in the selection and visualization of high-risk neuroblastoma patients. Furthermore, by integrating a single-cell sequencing dataset, we found that estrogen and MAPK were the most active pathways in high-risk neuroblastoma.

Conclusion

Our findings suggest that pathway-related therapies may hold promise for the treatment of high-risk neuroblastoma.