bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of p-n and p-i-n vertical diodes based on p-PMItz/n-Si, p-PMItz/n-4HSiC and p-PMItz/i-SiO2/n-Si heterojunctions
Authors: Alarabi Ahmed Ali , Çiçek Osman , Makara Hasan , Ünal Fatih , Zurnacı Merve , Altındal Şemsettin
Published: May 2024

In this paper, we present a comprehensive comparison study between p-n and p-i-n vertical diodes employing diverse heterojunction configurations under dark conditions. The diodes are fabricated utilizing p-PMItz as the organic semiconductor layer interfacing with different inorganic substrates, including n-Si (n-type silicon), n-4HSiC (n-type 4H silicon carbide), and incorporating an intrinsic SiO2 (silicon dioxide) layer in the p-PMItz/i-SiO2/n++-Si configuration. The current–voltage and dielectric characteristics are analyzed to discern the performance discrepancies among these diode configurations. The influence of heterojunction interfaces and band alignments on device behavior is investigated, shedding light on the charge transport mechanisms within these structures. Our findings reveal distinct trends in device characteristics for p-n and p-i-n diodes, highlighting the significance of heterojunction design in optimizing device performance. This comparative analysis offers valuable insights for the development of efficient organic–inorganic hybrid diodes tailored for various optoelectronic applications.
Latency Evaluation in the Image Acquisition System Based on MTCA.4 Architecture for Plasma Diagnostics
Authors: Pietrzak P. , Perek P. , Makowski D.
Published: May 2024

ITER diagnostic systems provide measurements to the Plasma Control System (PCS) in real-time. These measurements are used for plasma control and machine protection. Latency is an important parameter in the assessment of such systems. It is a time gap between capturing an external event by hardware and finishing the processing of acquired data. PCS requires the diagnostic systems to introduce a maximum total latency of 10 to 100 ms, therefore, the systems need to be tested if they meet the requirements. The system evaluated in this paper is a reference real-time image acquisition system developed as a base for ITER diagnostic systems. It consists of hardware based on the Micro Telecommunications Computing Architecture (MicroTCA) standard, developed firmware, and software. It supports cameras with various interfaces. In the paper, two cameras, with a Camera Link and 1 GigE Vision interfaces were selected to perform latency evaluation. The paper presents two methods of measuring the latency of image acquisition. The first one is based on precise time stamping consecutive stages of acquisition. This approach allows for determining which step of acquisition takes more or less time. In consequence, the software or hardware can be optimized. The other one uses LED to evaluate a particular camera, by checking the time of camera reaction to the trigger. A dedicated testing framework is developed to perform automated tests to evaluate latency. It supports collecting and analyzing the results of measurements. Besides that, a dedicated hardware is used to perform the latency tests using LED. The results and discussion of the measurements are presented in the manuscript. They show the latency evaluated using earlier proposed methods, comparing the cameras used in the image acquisition system.
Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
Authors: Darsha Jayamini Widana Kankanamge , Mirza Farhaan , Asif Naeem M. , Chan Amy Hai Yan
Published: May 2024

Asthma, a common chronic respiratory disease among children and adults, affects more than 200 million people worldwide and causes about 450,000 deaths each year. Machine learning is increasingly applied in healthcare to assist health practitioners in decision-making. In asthma management, machine learning excels in performing well-defined tasks, such as diagnosis, prediction, medication, and management. However, there remain uncertainties about how machine learning can be applied to predict asthma exacerbation. This study aimed to systematically review recent applications of machine learning techniques in predicting the risk of asthma attacks to assist asthma control and management. A total of 860 studies were initially identified from five databases. After the screening and full-text review, 20 studies were selected for inclusion in this review. The review considered recent studies published from January 2010 to February 2023. The 20 studies used machine learning techniques to support future asthma risk prediction by using various data sources such as clinical, medical, biological, and socio-demographic data sources, as well as environmental and meteorological data. While some studies considered prediction as a category, other studies predicted the probability of exacerbation. Only a group of studies applied prediction windows. The paper proposes a conceptual model to summarise how machine learning and available data sources can be leveraged to produce effective models for the early detection of asthma attacks. The review also generated a list of data sources that other researchers may use in similar work. Furthermore, we present opportunities for further research and the limitations of the preceding studies.
Generalizability of a Musculoskeletal Therapist Electronic Health Record for Modelling Outcomes to Work-Related Musculoskeletal Disorders
Authors: Wassell M. , Vitiello A. , Butler-Henderson K. , Verspoor K. , Pollard H.
Published: May 2024

Purpose

Electronic Health Records (EHRs) can contain vast amounts of clinical information that could be reused in modelling outcomes of work-related musculoskeletal disorders (WMSDs). Determining the generalizability of an EHR dataset is an important step in determining the appropriateness of its reuse. The study aims to describe the EHR dataset used by occupational musculoskeletal therapists and determine whether the EHR dataset is generalizable to the Australian workers’ population and injury characteristics seen in workers’ compensation claims.

Methods

Variables were considered if they were associated with outcomes of WMSDs and variables data were available. Completeness and external validity assessment analysed frequency distributions, percentage of records and confidence intervals.

Results

There were 48,434 patient care plans across 10 industries from 2014 to 2021. The EHR collects information related to clinical interventions, health and psychosocial factors, job demands, work accommodations as well as workplace culture, which have all been shown to be valuable variables in determining outcomes to WMSDs. Distributions of age, duration of employment, gender and region of birth were mostly similar to the Australian workforce. Upper limb WMSDs were higher in the EHR compared to workers’ compensation claims and diagnoses were similar.

Conclusion

The study shows the EHR has strong potential to be used for further research into WMSDs as it has a similar population to the Australian workforce, manufacturing industry and workers’ compensation claims. It contains many variables that may be relevant in modelling outcomes to WMSDs that are not typically available in existing datasets.
Different receptor models show differences in ligand binding strength and location: a computational drug screening for the tick-borne encephalitis virus
Authors: Finke Felicitas , Hungerland Jonathan , Solov’yov Ilia A. , Schuhmann Fabian
Published: May 2024

The tick-borne encephalitis virus (TBE) is a neurotrophic disease that has spread more rapidly throughout Europe and Asia in the past few years. At the same time, no cure or specific therapy is known to battle the illness apart from vaccination. To find a pharmacologically relevant drug, a computer-aided drug screening was initiated. Such a procedure probes a possible binding of a drug to the RNA Polymerase of TBE. The crystal structure of the receptor, however, includes missing and partially modeled regions, which rendered the structure incomplete and of questionable use for a thorough drug screening procedure. The quality of the receptor model was addressed by studying three putative structures created. We show that the choice of receptor models greatly influences the binding affinity of potential drug molecules and that the binding location could also be significantly impacted. We demonstrate that some drug candidates are unsuitable for one model but show decent results for another. Without any prejudice on the three employed receptor models, the study reveals the imperative need to investigate the receptor structure before drug binding is probed whether experimentally or computationally.
An efficient methodological approach for synthesis of selenopyridines: generation, reactions, anticancer activity, EGFR inhibitory activity and molecular docking studies
Authors: Hussein Bahgat R. M. , El-Saghier Sham M. M. , Allam Rasha M. , Mohamed Mamdouh F. A. , Amer Amer A.
Published: May 2024

In the present work, we successfully synthesized Se-alkyl selenopyridines 1 and 3, selenopheno[2,3-b]pyridine 2, and bis-selenopyridine 4 derivatives using an eco-friendly method by utilizing NaHSe instead of toxic hydrogen selenide. The effect of the temperature on the reaction was screening at various temperatures. The regiospecific reaction of selenopyridine 1 with bromine afforded an unexpected product 4,6-diamino-5-bromo-2-[(cyanomethyl)selenyl]-pyridine-3-carbonitrile (5), which was cyclized to selenopheno[2,3-b]pyridine (7) by refluxing in the presence of TEA. While its treatment with thiophenol and/or p-chlorothiophenol gave 8a, b. On the other hand, its reaction with aminothiophenol afforded 2-(benzo[d]-thiazol-2-yl)-5-bromoselenopheno[2,3-b]pyridine-3,4,6-triamine (9). Also, N-(2-cyano-4-methyl-5H-1-seleno-3,5,8-triazaacenaphthylen-7-yl)acetamide (11) and a novel series of selenoazo dyes 12a–d were synthesized by treatment of selenopheno[2,3-b]pyridine 2 with acetic anhydride and/or diazonium chlorides of aromatic amines, respectively. Then, we ascertained the potential activity of synthesized compounds against highly metastatic prostate cancer cells (PC-3) and osteosarcoma cells (MG-63) and found that 12a, 12b, 12c, and 12d were more cytotoxic than doxorubicin in both tested cell lines, showing nearly the same anticancer activity with IC50 values ranging from 2.59 ± 0.02 µM to 3.93 ± 0.23 µM. Mechanistically, the most potent compounds 12a and 12b proved to be potent EGFR inhibitors with IC50 values of 0.301 and 0.123 µM, respectively, compared to lapatinib as a positive reference (IC50 = 0.049 µM). Moreover, the docking results are in good agreement with the anticancer activity as well as the EGFR inhibitory activity, suggesting these two compounds as promising EGFR anticancer candidates.

Graphical abstract
Determination of promising inhibitors for N-SH2 domain of SHP2 tyrosine phosphatase: an in silico study
Authors: Gencer Akçok Emel Başak , Güner Hüseyin , Akçok İsmail
Published: May 2024

There are many genes that produce proteins related to diseases and these proteins can be targeted with drugs as a potential therapeutic approach. Recent advancement in drug discovery techniques have created new opportunities for treating variety of diseases by targeting disease-related proteins. Structure-based drug discovery is a faster and more cost-effective approach than traditional methods. SHP2 phosphatase, encoded by the PTPN11 gene, has been the focus of much attention due to its involvement in many types of diseases. The biological function of SHP2 is enabled mostly by protein–protein interaction through its SH2 domains. In this study, we report the identification of a potential small molecule inhibitor for the N-SH2 domain of SHP2 by structure-based drug discovery approach. We utilized molecular docking studies, followed by molecular dynamics simulations and MM/PBSA calculations, to analyze compounds retrieved from the Broad's Drug Repurposing Hub and ZINC15 databases. We selected 10 hit compounds with the best docking scores from the libraries and examined their binding properties in the N-SH2 domain. We found that compound CID 60838 (Irinotecan) was the most suitable compound with a binding free energy value of − 64.45 kcal/mol and significant interactions with the target residues in the domain.

Graphical abstract
Hyperbolic Tangent-Type Variant-Parameter and Robust ZNN Solutions for Resolving Time-Variant Sylvester Equation in Preassigned-Time
Authors: Luo Jiawei , Yu Lei , Xiong Bangshu
Published: May 2024

To solve a general time-variant Sylvester equation, two novel zeroing neural networks (ZNNs) solutions are designed and analyzed. In the foregoing ZNN solutions, the design convergent parameters (CPs) before the nonlinear stimulated functions are very pivotal because CPs basically decide the convergent speeds. Nonetheless, the CPs are generally set to be constants, which is not feasible because CPs are generally time-variant in practical hardware conditions particularly when the external noises invade. So, a lot of variant-parameter ZNNs (VP-ZNNs) with time-variant CPs have been come up with. Comparing with fixed-parameter ZNNs, the foregoing VP-ZNNs have been illustrated to own better convergence, the downside is that the CPs generally increases over time, and will be probably infinite at last. Obviously, infinite large CPs would lead to be non-robustness of the ZNN schemes, which are not permitted in reality when the exterior noises inject. Moreover, even though VP-ZNNs are convergent over time, the growth of CPs will waste tremendous computing resources. Based on these factors, 2 hyperbolic tangent-type variant-parameter robust ZNNs (HTVPR-ZNNs) have been proposed in this paper. Both the convergent preassigned-time of the HTVPR-ZNN and top-time boundary of CPs are theoretically investigated. Many numerical simulations substantiated the admirable validity of the HTVPR-ZNN solutions.
Sub-One Quasi-Norm-Based k-Means Clustering Algorithm and Analyses
Authors: An Qi , Jiang Shan
Published: May 2024

Recognizing the pivotal role of choosing an appropriate distance metric in designing the clustering algorithm, our focus is on innovating the k-means method by redefining the distance metric in its distortion. In this study, we introduce a novel k-means clustering algorithm utilizing a distance metric derived from the $$\ell _p$$

ℓ
p

quasi-norm with $$p\in (0,1)$$

p
∈
(
0
,
1
)

. Through an illustrative example, we showcase the advantageous properties of the proposed distance metric compared to commonly used alternatives for revealing natural groupings in data. Subsequently, we present a novel k-means type heuristic by integrating this sub-one quasi-norm-based distance, offer a step-by-step iterative relocation scheme, and prove the convergence to the Kuhn-Tucker point. Finally, we empirically validate the effectiveness of our clustering method through experiments on synthetic and real-life datasets, both in their original form and with additional noise introduced. We also investigate the performance of the proposed method as a subroutine in a deep learning clustering algorithm. Our results demonstrate the efficacy of the proposed k-means algorithm in capturing distinctive patterns exhibited by certain data types.
Turning Into Disengaged Public Servants: Examining the Effects of Discrimination on Work Engagement
Authors: Palumbo Rocco
Published: May 2024

Discrimination disempowers public servants, curtailing their vigor, dedication, and absorption at work. It breaches the psychological contract between public servants and public sector entities, provoking work disengagement. To the best of the author’s knowledge, there is limited agreement about how work discrimination disengages public servants. A mediation analysis was conducted to examine the effects of discrimination on disengagement through work meaningfulness and job satisfaction. Discrimination did not directly alter work engagement. It disengaged public servants by disrupting meaningfulness and satisfaction. Alongside preventing discrimination, public managers should enhance the work climate, restoring meaningfulness and satisfaction to keep public servants engaged.
Algorithmic Management and the Social Order of Digital Markets
Authors: Rilinger Georg
Published: May 2024

Platform companies use techniques of algorithmic management to control their users. Though digital marketplaces vary in their use of these techniques, few studies have asked why. This question is theoretically consequential. Economic sociology has traditionally focused on the embedded activities of market actors to explain competitive and valuation dynamics in markets. But restrictive platforms can leave little autonomy to market actors. Whether or not the analytical focus on their interactions makes sense thus depends on how restrictive the platform is, turning the question into a first order analytical concern. The paper argues that we can explain why platforms adopt more and less restrictive architectures by focusing on the design logic that informs their construction. Platforms treat markets as search algorithms that blend software computation with human interactions. If the algorithm requires actors to follow narrow scripts of behavior, the platform should become more restrictive. This depends on the need for centralized computation, the degree to which required inputs can be standardized, and the misalignment of interests between users. The paper discusses how these criteria can be mobilized to explain the architectures of four illustrative cases.
A credence-based theory-heavy approach to non-human consciousness
Authors: de Weerd C. R.
Published: May 2024

Many different methodological approaches have been proposed to infer the presence of consciousness in non-human systems. In this paper, a version of the theory-heavy approach is defended. Theory-heavy approaches rely heavily on considerations from theories of consciousness to make inferences about non-human consciousness. Recently, the theory-heavy approach has been critiqued in the form of Birch’s (Noûs 56(1):133–153, 2022) dilemma of demandingness and Shevlin’s (Mind Lang 36(2):297–314, 2021) specificity problem. However, both challenges implicitly assume an inapt characterization of the theory-heavy approach. I argue that an alternative characterization of the approach, what I call a credence-based theory-heavy approach, avoids these challenges. Theorists can generate interpretations of their theory, at different levels of generality, and operationalize these into theory-informed markers. These theory-informed markers are assigned a likelihood and are used to assess the probability that a target system is conscious. In providing this characterization, and mapping out the possible ways in which a credence-based theory-heavy approach can be fleshed out, the aim is to situate the theory-heavy approach as a more compelling approach than it is currently being perceived as. Our attention, then, needs to shift towards remaining challenges such as the consensus problem and the problem of calibrating the likelihoods associated with theory-informed markers. I also explore methodological pluralism and assess how the credence-based theory-heavy approach can benefit from other methodological approaches.
Morphological and molecular characterization of Eimeria haematopusi n. sp. (Apicomplexa: Eimeriidae) in an Australian Pied Oystercatcher (Haematopus longirostris) (Aves: Charadriiformes)
Authors: Austen Jill M. , Brice Belinda , Liu Dandan , Gao Huimin , Berto Bruno P. , Zahedi Alireza , Elloit Aileen , Yang Rongchang
Published: May 2024

A novel Eimeria Schneider, 1875 species is described from an Australian pied oystercatcher Haematopus longirostris Vieillot, in Western Australia. The pied oystercatcher was admitted to the Kanyana Wildlife Rehabilitation Centre (KWRC), Perth, Western Australia in a poor body condition, abrasion to its right hock and signs of partial delamination to its lower beak. Investigation into potential medical causes resulted in a faecal sample being collected and screened for gastrointestinal parasites. Unsporulated coccidian oocysts were initially observed in the faeces and identified as Eimeria upon sporulation. The sporulated oocysts (n = 20) are ellipsoidal, 20–21 × 12–13 μm in shape and have thick bi-layered walls which are c.2/3 of the total thickness. Micropyle is present, robust and protruding, and occasionally has a rounded polar body attached to the micropyle. Within the oocyst, a residuum, in addition, two to five polar granules are present. There are four ellipsoidal sporocysts 9–11 × 5–6 μm with flattened to half-moon shaped Stieda bodies. Sub-Stieda body and para-Stieda body are absent. The sporocysts contain sporocyst residuums composed of a few spherules scattered among the sporozoites. Within the sporozoites, anterior and posterior refractile bodies are present, but the nucleus is indiscernible. To further characterise the novel Eimeria species from H. longirostris, molecular analysis was conducted at the 18S ribosomal RNA locus, using PCR amplification and cloning. Two cloned sequences from the novel Eimeria were compared with those from other Eimeria spp. with the highest genetic similarity of 97.6% and 97.2% from Clone 1 and 2, respectively with Eimeria reichenowi (AB544308) from a hooded crane (Grus monacha Temminck) in Japan. Both sequences grouped in a clade with the Eimeria spp. isolated from wetland birds, which include Eimeria paludosa (KJ767187) from a dusky moorhen (Gallinula tenebrosa Gould) in Western Australia, Eimeria reichenowi (AB544308) and Eimeria gruis (AB544336) both from hooded cranes. Based on the morphological and molecular data, this Eimeria sp. is a new species of coccidian parasite and is named Eimeria haematopusin. sp. after its host H. longirostris.
Outcomes of para-sacral transcutaneous electric nerve stimulation in treatment of primary and refractory overactive bladder among children
Authors: Gomaa Moetaz Dahshan , AbdAllah Hany Aref , Ismail Iman Yehia , Wasfy Isaac Samir , Sherief Mahmoud Hegazy
Published: May 2024

Background

Overactive bladder (OAB) is the most prevalent lower urinary tract dysfunction among children. Refractory OAB lacks response to the first line treatments, including anticholinergic, and it is a major clinical challenge. This study aims to compare the efficacy of para-sacral transcutaneous electric nerve stimulation (PS-TENS) in the treatment of primary and refractory OAB among children.

Methods

A prospective, randomized clinical study included 64 children aged 5–12 years with OAB divided equally into two groups: group (1) included 32 children with treatment-naive OAB, while group (2) included 32 children with refractory OAB who failed complete course of anticholinergics. Both groups received PS-TENS three times weekly for 12 weeks. Detailed medical history, voiding diary, ultrasound, and uroflowmetry with EMG were performed at baseline and after 12 weeks of treatment. Filling cystometry was performed for children with refractory OAB before and after PS-TENS.

Results

After the end of treatment the number of children with urge incontinence decreased significantly among the two groups: from 25 to 13 and 27 to 15 for the primary and refractory groups, respectively. Micturition frequency per 24 h decreased significantly among children with primary OAB. Bladder capacity increased significantly and the resting detrusor pressure decreased significantly among children with refractory OAB.

Conclusions

PS-TENS is an effective and safe treatment option for children with OAB. The magnitude of improvement is higher among children with primary as compared to refractory OAB.
Serum vitamin D concentrations and sleep disorders: insights from NHANES 2011–2016 and Mendelian Randomization analysis
Authors: Jiang Junjie , Tan Hanyu , Xia Zhongfang , Li Jun , Zhou Shuang , Huang Tao
Published: May 2024

Objective

This investigation seeks to examine the association between serum vitamin D concentrations and the prevalence of sleep disorders, additionally elucidating the causal relationship via Mendelian Randomization (MR) analysis.

Materials and methods

This research employed data from the National Health and Nutrition Examination Survey (NHANES) 2011–2016, focusing on adults aged 20–50 years reporting sleep disorders. The research encompassed 4913 American adults. Weighted multivariable logistic regression models and cubic spline analyses were utilized to evaluate the association between serum vitamin D concentrations and the incidence of sleep disorders. Additionally, a two-sample Mendelian Randomization analysis was performed to evaluate the potential causal link between serum vitamin D concentrations and the risk of sleep disorders.

Results

Within the 2011–2016 NHANES cohort of the U.S. population, a notable inverse association was detected between serum vitamin D concentrations and sleep disorders (β =  − 3.81, 95% CI: − 6.10 to − 1.52, p = 0.003). After multivariate adjustments, a higher incidence of sleep disorders was associated with lower vitamin D Concentrations (OR 1.52, 95% CI 1.10–2.10, trend p = 0.014). Restricted cubic spline regression analysis indicated a linear association between serum vitamin D concentrations and sleep disorders(non-linearity p > 0.05). Lastly, the two-sample MR analysis yielded evidence supporting a potential causal connection between serum vitamin D concentrations and sleep disorders, with each unit increase in genetically predicted serum vitamin D reducing the odds ratio to 0.78 (95% CI 0.61–0.99, p = 0.044).

Conclusions

These results imply that lower vitamin D concentrations in the population might correlate with a heightened risk of sleep disorders, suggesting the importance of considering vitamin D supplementation when treating sleep disorders.
Area-Level Social Vulnerability and Severe COVID-19: A Case–Control Study Using Electronic Health Records from Multiple Health Systems in the Southeastern Pennsylvania Region
Authors: Mullachery Pricila H. , Bilal Usama , Li Ran , McClure Leslie A.
Published: May 2024

Knowledge about neighborhood characteristics that predict disease burden can be used to guide equity-based public health interventions or targeted social services. We used a case-control design to examine the association between area-level social vulnerability and severe COVID-19 using electronic health records (EHR) from a regional health information hub in the greater Philadelphia region. Severe COVID-19 cases (n = 15,464 unique patients) were defined as those with an inpatient admission and a diagnosis of COVID-19 in 2020. Controls (n = 78,600; 5:1 control-case ratio) were a random sample of individuals who did not have a COVID-19 diagnosis from the same geographic area. Retrospective data on comorbidities and demographic variables were extracted from EHR and linked to area-level social vulnerability index (SVI) data using ZIP codes. Models adjusted for different sets of covariates showed incidence rate ratios (IRR) ranging from 1.15 (95% CI, 1.13–1.17) in the model adjusted for individual-level age, sex, and marital status to 1.09 (95% CI, 1.08–1.11) in the fully adjusted model, which included individual-level comorbidities and race/ethnicity. The fully adjusted model indicates that a 10% higher area-level SVI was associated with a 9% higher risk of severe COVID-19. Individuals in neighborhoods with high social vulnerability were more likely to have severe COVID-19 after accounting for comorbidities and demographic characteristics. Our findings support initiatives incorporating neighborhood-level social determinants of health when planning interventions and allocating resources to mitigate epidemic respiratory diseases, including other coronavirus or influenza viruses.
Manufacturing of High Purity Cr2AlC MAX Phase Material and Its Characterization
Authors: Desai Vyom , Shrivastava Aroh , Zala Arunsinh B. , Parekh Tejas , Gupta Surojit , Jamnapara N. I.
Published: May 2024

Present study discusses about a technique for producing high-purity Cr2AlC MAX phase materials and gaining insight into their thermal behavior for high-temperature applications. The research conducted involved synthesizing a pure layered ternary carbide Cr2AlC MAX phase material by mixing powders of Chromium, Aluminum, and Carbon and then subjecting them to two-step pressureless sintering process in argon atmosphere. First step involves the annealing of ball-milled mixture at 750 °C for 2 h followed by the second step in which the annealed mixture is subjected to heat-treatment at 1350 °C for 2 h. Analysis using XRD and Raman techniques revealed that the synthesized product consists of Cr2AlC phase, without any impurities. SEM studies confirmed that the Cr2AlC had a layered topography, while EPMA analysis indicated that the atomic percentage of Cr, Al, and C was consistent with the XRD phase analysis. XPS investigations confirmed the presence of Cr-C bonds representing Mn+1Xn of the MAX phase material. TG-DSC results showed an approximately 2% increase in weight. The Cr2AlC phase exhibited an endothermic pattern below 725 °C, an exothermic pattern above it, and did not decompose up to 1400 °C in vacuum environment. High-temperature XRD analysis at various temperatures also confirmed no formation of Al2O3 or CrO impurity compounds.
Developing national cancer survivorship standards to inform quality of care in the United States using a consensus approach
Authors: Mollica Michelle A. , McWhirter Gina , Tonorezos Emily , Fenderson Joshua , Freyer David R. , Jefford Michael , Luevano Christopher J. , Mullett Timothy , Nasso Shelley Fuld , Schilling Ethan , Passero Vida Almario ,   the National Cancer Survivorship Standards Subject Matter Expert Group, Alfano Catherine , Belin Precilla , Blaes Anne , Cavanagh Hillary , Francis Lanie , Freyer David R. , Friedman Danielle , Nasso Shelley Fuld , Ganz Patricia , He Min , Honig Batsheva , Hudson Shawna , Jacobs Linda , Jefford Michael , Keating Nancy , Kirchoff Anne , Kirschner Michelle , Kline Ron , MacIntyre Jessica , Maher Molly , Mayer Deborah , Merrill Janette , Mullett Timothy , Nekhlyudov Larissa , Penedo Frank , Pergolotti Mackenzi , Roth Michael , Sanft Tara , Schatz Alyssa , Schilling Ethan , Schmitz Kathryn , Schwartz Lisa , Tonorezos Emily
Published: May 2024

Purpose

To develop United States (US) standards for survivorship care that informs (1) essential health system policy and process components and (2) evaluation of the quality of survivorship care.

Methods

The National Cancer Institute and the Department of Veterans Affairs led a review to identify indicators of quality cancer survivorship care in the domains of health system policy, process, and evaluation/assessment. A series of three virtual consensus meetings with survivorship care and research experts and advocates was conducted to rate the importance of the indicators and refine the top indicators. The final set of standards was developed, including ten indicators in each domain.

Results

Prioritized items were survivor-focused, including processes to both assess and manage physical, psychological, and social issues, and evaluation of patient outcomes and experiences. Specific indicators focused on developing a business model for sustaining survivorship care and collecting relevant business metrics (e.g., healthcare utilization, downstream revenue) to show value of survivorship care to health systems.

Conclusions

The National Standards for Cancer Survivorship Care can be used by health systems to guide development of new survivorship care programs or services or to assess alignment and enhance services in existing survivorship programs. Given the variety of settings providing care to survivors, it is necessary for health systems to adapt these standards based on factors including age-specific needs, cancer types, treatments received, and health system resources.

Implications for Cancer Survivors

With over 18 million cancer survivors in the United States, many of whom experience varied symptoms and unmet needs, it is essential for health systems to have a comprehensive strategy to provide ongoing care. The US National Standards for Survivorship Care should serve as a blueprint for what survivors and their families can anticipate after a cancer diagnosis to address their needs.
Acute Aseptic Meningitis Temporally Associated with Intravenous Polyclonal Immunoglobulin Therapy: A Systematic Review
Authors: De Felice Elisabetta L.T. , Toti Gabriel F. , Gatti Beatrice , Gualtieri Renato , Camozzi Pietro , Lava Sebastiano A.G. , Milani Gregorio P. , Treglia Giorgio , Vanoni Federica , Bianchetti Mario G. , Bernasconi Gianmaria F. , Terziroli Beretta Piccoli Benedetta , Lavagno Camilla
Published: May 2024

An acute aseptic meningitis has been occasionally observed on intravenous polyclonal human immunoglobulin therapy. Since case reports cannot be employed to draw inferences about the relationships between immunoglobulin therapy and meningitis, we conducted a systematic review and meta-analysis of the literature. Eligible were cases, case series, and pharmacovigilance studies. We found 71 individually documented cases (36 individuals ≤ 18 years of age) of meningitis. Ninety percent of cases presented ≤ 3 days after initiating immunoglobulin therapy and recovered within ≤ 7 days (with a shorter disease duration in children: ≤ 3 days in 29 (94%) cases). In 22 (31%) instances, the authors noted a link between the onset of meningitis and a rapid intravenous infusion of immunoglobulins. Cerebrospinal fluid analysis revealed a predominantly neutrophilic (N = 46, 66%) pleocytosis. Recurrences after re-exposure were observed in eight (N = 11%) patients. Eight case series addressed the prevalence of meningitis in 4089 patients treated with immunoglobulins. A pooled prevalence of 0.6% was noted. Finally, pharmacovigilance data revealed that meningitis temporally associated with intravenous immunoglobulin therapy occurred with at least five different products. In conclusion, intravenous immunoglobulin may cause an acute aseptic meningitis. The clinical features remit rapidly after discontinuing the medication.
Diagnostic Value of Single LH and LH/FSH Ratio at 60-minute after GnRHa Stimulation Test for Central Precocious Puberty
Authors: Wang Qingling , Wu Dan , Zeng Qian , Ban Chuanwei , Wang Ling , Lv Xin
Published: May 2024

Objectives

To evaluate the diagnostic value of luteinizing hormone (LH) and LH/follicle stimulating hormone (FSH) ratio at 60 min after gonadotropin-releasing hormone analogs (GnRHa) stimulation test for central precocious puberty (CPP) in girls.

Methods

Two hundred and fifty-seven girls, aged 3 to 7.5 y, suspected of precocious puberty at authors’ hospital from April 2020 through November 2023 were enrolled in the study. The blood was taken at 0, 30, 60 min after GnRHa stimulation test, and LH and LH/FSH were detected by chemiluminescence assay. The diagnostic efficacy was analysed by Mann–Whitney U test, spearman’s correlation analysis and receiver operating characteristic (ROC) analysis. The proportion of obesity was analysed by Chi-square test.

Results

LH and LH/FSH at different times were statistically significantly different (P <0.05) between the CPP and non-CPP groups. Spearman’s correlation analysis showed that the level of LH and LH/FSH at 60 min had the strongest consistency with the peak of LH (r = 0.9988, P <0.001) and LH/FSH (r = 0.9981, P <0.001). ROC curve analysis showed that the area under the ROC curves at 60 min of LH and LH/FSH were 0.975 and 0.997 with a cut-off value of 5.70 IU/L and 0.609, respectively.

Conclusions

The peak of LH and LH/FSH in the diagnosis of CPP can be determined by LH and LH/FSH at 60 min after the triptorelin acetate is injected. This will reduce the number of blood draws required compared with the traditional stimulation test, which is more effective and acceptable for children.
Existence of Solutions for p(x)-Laplacian Elliptic BVPs on a Variable Sobolev Space Via Fixed Point Theorems
Authors: Ayadi Souad , Alzabut Jehad , Afshari Hojjat , Sahlan Monireh Nosrati
Published: May 2024

In this paper, we prove some existence theorems for elliptic boundary value problems within the p(x)-Laplacian on a variable Sobolev space. For this purpose, the main problem is transformed into a fixed point problem and then fixed point arguments such as Schaefer’s and Schauder’s theorems are used. Our approach involves fewer stringent assumptions on the nonlinearity function than the prior findings. An interesting example is presented to examine the validity of the theoretical findings.
Feature-based deformation for flow visualization
Authors: Straub Alexander , Sadlo Filip , Ertl Thomas
Published: May 2024

We present an approach that supports the analysis of flow dynamics in the neighborhood of curved line-type features, such as vortex core lines, attachment lines, and trajectories. We achieve this with continuous deformation to the flow field to straighten such features. This provides “deformed frames of reference”, within which qualitative flow dynamics are better observable with respect to the feature. Our approach operates at interactive rates on graphics hardware, and supports exploration of large and complex datasets by continuously navigating the additional degree of freedom of deformation. We demonstrate the properties and the utility of our approach using synthetic and simulated flow fields, with a focus on the application to vortex core lines.

Graphical abstract
Spatiotemporal distribution of mangrove along the Egyptian Red Sea coast and analysis of hydrological impact on growth patterns
Authors: Sewilam H. , Hassan B. T. , Khalil B. S.
Published: May 2024

This study presents an in-depth spatiotemporal analysis of mangrove ecosystems along Egypt’s Red Sea coast, utilizing satellite imagery and GIS to examine changes from 2003 to 2022. We evaluate the effects of hydrological factors, specifically rainfall and runoff -presented by Stream Power Index-, on mangrove growth patterns. Results indicate a significant increase in mangrove areas, with a notable annual growth rate, despite a reduction in a specific region. This research highlights the integral role of catchment area runoff (R2 = 0.735, R = 0.857, P-value = 0.003 < 0.05, CV = 70.26%), rather than direct rainfall, in mangrove expansion, contributing to the understanding of mangrove resilience and informing sustainable coastal management strategies. The study bridges a significant research gap by mapping decadal mangrove changes, offering insights into the dynamics affecting these crucial ecosystems.
Innovative engine test bench set-up for testing of exhaust gas aftertreatment and detailed gas species analysis for CNG-SI-operation
Authors: Tomin Sebastian , Keller Kevin , Wagner Uwe , Lott Patrick , Koch Thomas , Deutschmann Olaf
Published: May 2024

For an efficient reduction of methane slip, a precise understanding of exhaust gas after treatment under real conditions is essential. Since it is not possible to produce catalytic converters in near-series geometry on a laboratory scale, it is necessary to resort to significantly smaller sample catalysts. Therefore, an engine test bench was designed to ensure real operating conditions for such samples with the help of space velocity and temperature control. A comparison between the actual and reference values of the space velocity results in a small deviation of 0.1% on average. Furthermore, the pressure conditions at the catalyst have been measured showing a propagation of pressure oscillations from the engine outlet which in combination with the space velocity regulation show that real conditions could be applied to the catalyst sample. Subsequently, the exhaust gas concentrations were monitored with a Fourier transform infrared spectrometer. The catalyst material used is PdO on Al2O3, common for methane oxidation. The measurements show that the CH4 conversion is higher under lean conditions, but is below complete conversion. In a final comparison between purely stoichiometric operation and dithering, the course of the CH4 conversion rate over the test period is examined more closely. In addition to sampling pre- and post-catalyst, the exhaust gas composition is measured spatially resolved within a catalyst channel using special measurement technology. In the temporal course of the CH4 emissions, a stabilizing effect due to the change of the operating mode can be seen, showing that dithering seems to prevent further deactivation.
End-effector with winding and scooping functions for folding and transporting various cloth parts after cutting
Authors: Zhu Yuzhe , Hirayama Motoki , Yamazaki Kimitoshi
Published: May 2024

In this study, we propose a novel end-effector that combines the characteristics of winding and scooping fabrics to grasp and categorically place various cloth parts cut by a cutting machine. In addition, we introduce a method for folding the fabric front and back into smaller dimensions, thereby reducing the space required for categorizing, placing, and packaging various clothes, which, to the best of our knowledge, is unique. Subsequently, we develop a method that autonomously determines folding strategies based on the different dimensions of cloth parts, allowing targeted processing of various cloth parts. This approach reduces the height demands of the robot and improves its capability to simultaneously handle multiple types of clothes. Finally, we evaluate the proposed end-effector and folding method in a simulated factory environment using T-shirt parts made of different materials.
Analyse prozessbezogener Verhaltensdaten mittels Learning Analytics: Aktuelle und zukünftige Bedeutung für die Unterrichtswissenschaft
Authors: Eberle Julia , Strauß Sebastian , Nachtigall Valentina , Rummel Nikol
Published: May 2024

International entwickelte sich unter dem Begriff „Learning Analytics“ in den letzten Jahren ein Forschungsfeld, das sich auf das Sammeln, Auswerten und Anwenden komplexer, häufig multi-modaler und digitaler Verhaltensspuren fokussiert. Diese Verhaltensspuren, die Lernende und Lehrende in digitalen Kontexten hinterlassen, werden mit Hilfe computerbasierter Modelle oder mittels Verfahren des maschinellen Lernens ausgewertet, um Erkenntnisse über Lehr- und Lernprozesse zu gewinnen. Die Lehr-Lernforschung nähert sich derzeit langsam dem Feld der Learning Analytics an. Ein Potenzial von Learning Analytics für die Lehr-Lernforschung wurde demnach bereits erkannt, sodass ein Weiterdenken an dieser Stelle äußerst lohnenswert erscheint. Der vorliegende Beitrag skizziert daher die inzwischen bereits stark fortgeschrittene Forschung zu Learning Analytics und stellt anhand konkreter Beispiele das Potenzial von Learning-Analytics-Ansätzen für die Weiterentwicklung von Lern- und Instruktionstheorien dar. Insbesondere wird hier auf selbstreguliertes und kooperatives Lernen eingegangen sowie auf die Gestaltung von Lernumgebung und Unterstützung von Lehrkräften. Dabei mit- und weitergedacht werden sowohl Risiken und Herausforderungen von Learning Analytics (wie fehlende Kopplung zwischen Theorie und Empirie sowie ethische Aspekte) als auch Chancen (wie Erfassung der Komplexität und Zeitlichkeit von Lehr-Lernprozessen) von Learning Analytics für die Unterrichtswissenschaft und -praxis.
The formation of the granite complex in the Wuhe Mari area of Bayankala Mountain on the northeastern margin of the Tibetan Plateau: constraints from lithogeochemistry and U–Pb zircon dating
Authors: Tian Guanghao , Zong Yanbing , Xue Yanping
Published: May 2024

The granite complex in the Wuhe Mari area lies in the tectonic magma belt of the North Bayankala Mountains on the northeastern edge of the Qinghai-Tibet Plateau. It is located in the middle of the first member of the Changmahe Formation of the Early and Middle Triassic Bayankala Mountains Group. This article presents a systematic study of the petrological and geochemical characteristics and chronology of porphyrite granilite, monzogranite, porphyritic monzogranite and diorite in the granite complex in Wuhe Mari area. The genetic relationship between these four rock types as well as the type of source area and tectonic environment are clarified. Zircon LA-ICP-MS-U–Pb dating shows that the porphyritic granodiorite, monzogranite, porphyritic monzogranite and diorite have ages of 221.0 ± 2.7 Ma, 219.8 ± 3.0 Ma, 216.6 ± 4.3 Ma and 213.4 ± 1.6 Ma, respectively. The petrogeochemical characteristics show that the porphyritic granodiorite, monzogranite and porphyritic monzogranite in the granite complex have the characteristics of high Si, Al2O3, K, low Na, Ca, Mg, Fe, K, Rb and Th—Content in the strongly incompatible elements of the granite complex have three, the relative loss of Ba, Ta, Nb, Ce, slight enrichment or no anomaly, the loss of Sm, Hf and Zr, the strong loss of Y and Yb and the aluminum saturation index < 1.1. Combined with the geological data all three samples belong to Type I granite formed in the same collision environment. Based on the lithogeochemical characteristics and the results of U–Pb chronology, these three rock formations are believed to have been formed by a series of magmatic melting events and are the result of homologous magma crystallization and differentiation. The diorite forms in an intraplate tectonic setting as a result of the evolution of co-collision granite to intraplate granite.
Innovative smart colorimetric sensor for nitrite detection in poultry packaging
Authors: Paramparambath Sreedevi , Geetha Mithra , Alahzm Abdulrhman Mohammed , Al-Ejji Maryam , Sadasivuni Kishor Kumar
Published: May 2024

Detecting nitrite ions is crucial for environmental and health monitoring, given the prevalence of nitrites in water sources and meat. Colorimetric methods provide a cost-effective, rapid, and straightforward means of nitrite ion detection. This study focuses on monitoring nitrite levels in meat to ensure its safe consumption. Three different dyes—Bromophenol blue (B.P.B.), Eriochrome Black T (E.B.T.), and Potassium permanganate (KMnO4)—were employed to identify and quantify nitrite ions under various experimental conditions such as variable pH, temperature, concentration, and selectivity. UV–visible studies revealed low average detection limits of 0.2054 mM for E.B.T. dye, 0.218 mM for B.P.B., and 3.317 mM for KMnO4 dye solution. An Internet of Things (IoT)-based, portable, and cost-effective device for colorimetric nitrite ion detection was also developed. This innovative system integrates a connected detection mechanism within a smart device, enabling swift acquisition of red, green, and blue (RGB) readings for real-time applications in nitrite ion detection. This development has the potential to offer an economical, precise, and easily transportable method for monitoring nitrite ions, presenting a promising approach to creating accessible tools in this field.