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In this research, we develop three statistical based control charts: the Hotelling's T2, MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio test) as well as three machine learning (ML) based control charts: the ANN (artificial neural network), SVR (support vector regression), and RFR (random forest regression), for monitoring generalized linear model (GLM) profil
This Letter introduces a novel, to the best of our knowledge, method for assessing fruit quality using white-light biospeckle displacement analysis. The primary aim is to demonstrate that speckle displacement behavior differs between healthy and decaying regions, offering a unique means of gauging bioactivity levels, a feature that has not been explored in previous biospeckle research. By examinin
The effect of measurement errors on the performance of adaptive control charts has rarely been investigated in the univariate case and, as far as we know, it has not been investigated at all in the multivariate case. In this paper, we evaluate the effect of measurement errors on the VSS (Variable Sample Sizes) Hotelling’s T2 control chart. To do so, we suggest using six different performance measu
In this paper we develop two models; the without shortages and the completely backlogging shortages with the price dependant demand rate under time value of money and inflation, finite time horizon and exponentially deterioration rate with the objective of maximizing the present worth of the total system profit. Using the dynamic programming method for each model, we are able to obtain different s
There has been a growing interest in research regarding monitoring a process through a regression model (called a profile) rather than a simple quality characteristic. This paper proposes a new monitoring scheme to simultaneously monitor the multivariate multiple linear profiles’ parameters. This scheme is based on the Shewhart control chart concept and only has one single (max-type) control chart
Conventional image-based process control schemes require distinct, detectable features (e.g., edges or textures). In the absence of such features, current methods fail or require additional preprocessing. They are also prone to false detections from random noise, dirt, or scratches on the surface. In addition, they often focus on pixel intensity differences, making them less effective for subtle s
Episodic memory allows the flexible retrieval of commonalities and idiosyncrasies of overlapping life events. For example, seeing a woman in the city with your colleague's daughter may form an integrated memory representation involving the woman and your colleague. However, you may also keep a specific representation of the city event to talk with your colleague about the circumstances of having m
This paper explores how pro-active government policies could promote artificial intelligence (AI) in healthcare for the public good. Building on insights from the literature on industrial policy, we argue that without clear conditions and guardrails to ensure future public benefit, state assistance and subsidies will be nothing more than corporate welfare with unpredictable, if any, societal benef
X-ray fluorescence emission spectroscopy is a powerful tool to gain chemical information on a wide variety of samples. Its combination with focused X-ray beams and translation stages enables X-ray fluorescence microscopy, generating quantitative distribution maps for sets of chemical elements, depending on incident photon energy and detector specifications. The use of synchrotron radiation for X-r
Background: The primary aim was to assess psychological distress in patients with longstanding hip and groin pain (LHGP) and compare them with healthy controls. The secondary aim was to explore the association between psychological distress and symptom duration, self-reported pain and symptoms in patients with LHGP. Methods: Seventy-two patients with LHGP and sixty-three controls were included. Th
We calculate the low-temperature spectral function of the symmetric single impurity Anderson model using a recently proposed dynamical exchange-correlation (xc) field formalism. The xc field, coupled to the one-particle Green’s function, is obtained through analytic analysis and numerical extrapolation based on finite clusters. In the Kondo regime, the xc field is modeled by an Ansatz that takes i
This study explored serious mental illness (SMI) in young adult offenders imprisoned for violent or sexual crimes, estimating the effects of neurodevelopmental disorders and early-life risk factors on the development of SMI, and its prospective long-term adverse outcomes. An all-male cohort of 266 violent offenders, assessed during imprisonment when aged 18–25 years (M = 21.8, SD = 1.9), was follo
This study leverages synchrotron radiation-based X-ray absorption photoemission electron microscopy (X-PEEM) to investigate non-metallic inclusions (NMIs) in ultra-high-strength steels. By acquiring Ca-L2,3-edge X-ray absorption spectra from six NMIs at both room temperature and 400 °C, we analyze their structural changes, chemical compositions, and phase transformations. To extract meaningful ins
Background: Prostaglandin E2 (PGE2) is vital for embryo implantation and decidualization. Whether COX2/mPGES1/PGE2 pathway is essential for mouse and human decidualization remains unclear. Results: This study showed that mPGES1 was highly expressed in the mouse uterus’s subluminal stromal cells at the implantation site. COX2-specific inhibitor Valdecoxib and mPGES1 selective inhibitor MK886 were u
Groundwater drought, as a form of hydrological drought, embodies the distinctive characteristics of the aquifer and human-induced disruptions within the hydrological system. The intricate nature of groundwater flow systems, coupled with challenges in acquiring field observations related to aquifers, poses significant challenges in quantitatively characterizing groundwater drought. The present pape
BACKGROUND: Assessing perceptions of occupational balance is essential in both clinical occupational therapy and research. Attempts to characterise occupational balance often arrive at multi-faceted explanations, including a variety of occupations, personal satisfaction, and time allocation.AIM: This study aimed to deepen the understanding of occupational balance as a phenomenon and investigate th
Deposition of basement membrane components, such as collagen IVα5, is associated with altered endothelial cell function in pulmonary hypertension. Collagen IVα5 harbors a functionally active fragment within its C-terminal noncollageneous (NC1) domain, called pentastatin, whose role in pulmonary endothelial cell behavior remains unknown. Here, we demonstrate that pentastatin serves as a mediator of
Pulmonary arterial hypertension (PAH) is a vascular disease that is characterized by elevated pulmonary arterial pressure (PAP) due to progressive vascular remodeling. Extracellular matrix (ECM) deposition in pulmonary arteries (PA) is one of the key features of vascular remodeling. Emerging evidence indicates that the basement membrane (BM), a specialized cluster of ECM proteins underlying the en
Integrated conodont and carbon isotope data is presented from the Telychian (upper Llandovery, lower Silurian) from the Baicaoping section, Yunnan Province, southwestern China. Three conodont zonal units, in stratigraphically ascending order, the Pterospathodus eopennatus Superzone, Pterospathodus celloni Superzone, and the Pterospathodus amorphognathoides amorphognathoides Zone, are recognized in
The basement membrane (BM) is a specialized layer of extracellular matrix components that plays a central role in maintaining lung and kidney functions. Although the composition of the BM is usually tissue specific, the lung and the kidney preferentially use similar BM components. Unsurprisingly, diseases with BM defects often have severe pulmonary or renal manifestations, sometimes both. Excessiv
