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BACKGROUND: Cardiac arrest is a common and devastating emergency of both the heart and brain. More than 380,000 patients suffer out-of-hospital cardiac arrest annually in the USA. Induced cooling of comatose patients markedly improved neurological and functional outcomes in pivotal randomized clinical trials, but the optimal duration of therapeutic hypothermia has not yet been established. METHODS: This study is a multi-center randomized, response-adaptive, duration (dose) finding, comparative effectiveness clinical trial with blinded outcome assessment. We investigate two populations of adult comatose survivors of cardiac arrest to ascertain the shortest duration of cooling that provides the maximum treatment effect. The design is based on a statistical model of response as defined by the primary endpoint, a weighted 90-day mRS (modified Rankin Scale, a measure of neurologic disability), across the treatment arms. Subjects will initially be equally randomized between 12, 24, and 48 h of therapeutic cooling. After the first 200 subjects have been randomized, additional treatment arms between 12 and 48 h will be opened and patients will be allocated, within each initial cardiac rhythm type (shockable or non-shockable), by response adaptive randomization. As the trial continues, shorter and longer duration arms may be opened. A maximum sample size of 1800 subjects is proposed. Secondary objectives are to characterize: the overall safety and adverse events associated with duration of cooling, the effect on neuropsychological outcomes, and the effect on patient-reported quality of life measures. DISCUSSION: In vitro and in vivo studies have shown the neuroprotective effects of therapeutic hypothermia for cardiac arrest. We hypothesize that longer durations of cooling may improve either the proportion of patients that attain a good neurological recovery or may result in better recovery among the proportion already categorized as having a good outcome. If the treatment effect of cooling is increasing across duration, for at least some set of durations, then this provides evidence of the efficacy of cooling itself versus normothermia, even in the absence of a normothermia control arm, confirming previous RCTs for OHCA survivors of shockable rhythms and provides the first prospective controlled evidence of efficacy in those without initial shockable rhythms. TRIAL REGISTRATION: ClinicalTrials.gov NCT04217551. Registered on 30 December 2019.

Cerium doped Mn0.5Zn0.5Fe2O4 spinel nano-magnets were synthesized using sol–gel technique and characterized through x-ray diffraction (XRD), Fourier transform-infrared radiation (FT-IR), impedance analyzer, modulus spectroscopy, scanning electron microscopy (SEM), vibrating sample magnetometer (VSM) and energy dispersive x-ray spectroscopy (EDX). The cations redistribution with Ce3+ substitution strongly affect the physical properties of the samples. Single phase spinel structure is identified for the synthesized samples and the crystal imperfection is found low. The lattice parameters reduce with Ce3+ concentration due to lanthanide contraction. The saturation magnetization of Mn0.5Zn0.5CexFe2−xO4 is found maximum for the x = 0 sample. The measured magnetic properties such as coercivity (Hc), retentivity (Mr) and saturation magnetization (Ms) decrease with increase in Ce3+ concentration. The synthesized samples show positive values of magnetic susceptibility which show anti-ferromagnetic/ferrimagnetic nature. The SEM images show increase in size of the grain with increasing sintering conditions parallel by significant decrease of pores, the position and the existence of tetrahedral and octahedral sites. The FT-IR spectra reveal the metal–oxygen oscillations at tetrahedral and octahedral sites. The dielectric constants are found in the range −118.6 to −242.5 at 2 MHz, which revealed moderate strain sensitivity, low ac conductivity and low dielectric loss. At low frequency range the synthesized samples are promising materials for stress sensor applications. [ABSTRACT FROM AUTHOR]

Electronic band structures, density of states, optical parameters, and structure properties of 2D layered halide perovskites Cs2MBr4 (M = Zn, Cd, Hg) are investigated using density functional theory (DFT). The structure optimization/relaxation was executed by generalized gradient approximation (GGA) and to handle band gap dependent properties (optical and electronic) modified Becke Johnson (GGA-mBJ) exchange potential was operated. In the structure composition of Cs2MBr4, the metal cations (M = Zn, Cd, Hg) build an isolated tetrahedra with bromine atoms i.e. [MBr4]2−. Eleven Cs atoms confine the tetrahedra and each Cs is surrounded by six tetrahedra, making an octahedral geometry [MBr4]62−. The calculated tolerance factors are greater than unity, confirming their orthorhombic crystal symmetry because perovskites having τ > 1 and large A-site cation destroy the 3D crystal structure. The bonds between octahedral layers are open and A-site (large-sized) cations connect two adjacent octahedra through intermolecular forces to form 2D- perovskite. The understudied 2D layered halide perovskites possess direct band gap nature and their band gap lies between 2.5–3.80 eV. The valence band edge is mainly attributed to M-d, M-s, and Br-4p orbitals, whereas the conduction band is dominated by M-s and Br-4p orbitals. The optical properties tell that these 2D perovskites are excellent dielectric and are prospective materials for optoelectronic devices. [ABSTRACT FROM AUTHOR]

This article introduces an adaptive approach within the Bayesian Max-EWMA control chart framework. Various Bayesian loss functions were used to jointly monitor process deviations from the mean and variance of normally distributed processes. Our study proposes the mechanism of using a function-based adaptive method that picks self-adjusting weights incorporated in Bayesian Max-EWMA for the estimation of mean and variance. This adaptive mechanism significantly enhances the effectiveness and sensitivity of the Max-EWMA chart in detecting process shifts in both the mean and dispersion. The Monte Carlo simulation technique was used to calculate the run-length profiles of different combinations. A comparative performance analysis with an existing chart demonstrates its effectiveness. A practical example from the hard-bake process in semiconductor manufacturing is presented for practical context and illustration of the chart settings and performance. The empirical results showcase the superior performance of the Adaptive Bayesian Max-EWMA control chart in identifying out-of-control signals. The chart's ability to jointly monitor the mean and variance of a process, its adaptive nature, and its Bayesian framework make it a useful and effective control chart. [ABSTRACT FROM AUTHOR]

The simultaneous monitoring of both the process mean and dispersion has gained considerable attention in statistical process control, especially when the process follows the normal distribution. This paper introduces a novel Bayesian adaptive maximum exponentially weighted moving average (Max-EWMA) control chart, designed to jointly monitor the mean and dispersion of a non-normal process. This is achieved through the utilization of the inverse response function, particularly suitable for processes conforming to a Weibull distribution. To assess the effectiveness of the proposed control chart, we employed the average run length (ARL) and the standard deviation of run length (SDRL). Subsequently, we compared the performance of our proposed control chart with that of an existing Max-EWMA control chart. Our findings suggest that the proposed control chart demonstrates a higher level of sensitivity in detecting out-of-control signals. Finally, to illustrate the effectiveness of our Bayesian Max-EWMA control chart under various Loss Functions (LFs) for a Weibull process, we present a practical case study focusing on the hard-bake process in the semiconductor manufacturing industry. This case study highlights the adaptability of the chart to different scenarios. Our results provide compelling evidence of the exceptional performance of the suggested control chart in rapidly detecting out-of-control signals during the hard-bake process, thereby significantly contributing to the improvement of process monitoring and quality control. [ABSTRACT FROM AUTHOR]

This paper aims to introduce a novel family of probability distributions by the well-known method of the T–X family of distributions. The proposed family is called a "Novel Generalized Exponent Power X Family" of distributions. A three-parameters special sub-model of the proposed method is derived and named a "Novel Generalized Exponent Power Weibull" distribution (NGEP-Wei for short). For the proposed family, some statistical properties are derived including the hazard rate function, moments, moment generating function, order statistics, residual life, and reverse residual life. The well-known method of estimation, the maximum likelihood estimation method is used for estimating the model parameters. Besides, a comprehensive Monte Carlo simulation study is conducted to assess the efficacy of this estimation method. Finally, the model selection criterion such as Akaike information criterion (AINC), the correct information criterion (CINC), the Bayesian information criterion (BINC), the Hannan–Quinn information criterion (HQINC), the Cramer–von-Misses (CRMI), and the ANDA (Anderson–Darling) are used for comparison purpose. The comparison of the NGEP-Wei with other rival distributions is made by Two COVID-19 data sets. In terms of performance, we show that the proposed method outperforms the other competing methods included in this study. [ABSTRACT FROM AUTHOR]

This correction notice addresses errors in the funding section of a research article titled "Nutritional analysis and characterization of carbapenemase producing-Klebsiella pneumoniae resistant genes associated with bovine mastitis infected cow's milk." The correct funding statement acknowledges the Researchers Supporting Project number (RSP-2023-R406) from King Saud University in Riyadh, Saudi Arabia, as well as funding from the Higher Education Commission of Pakistan under the NRPU project (Sr. Number: 8633). The funders did not play a role in the study design, data collection and analysis, decision to publish, or manuscript preparation. The authors of the article are Mr. Saddam, Muddasir Khan, Muhsin Jamal, Sadeeq Ur Rahman, Abdul Qadeer, Imad Khan, Mohamed H. Mahmoud, Gaber El-Saber Batiha, and Syed Hussain Shah. [Extracted from the article]

Cerium doped Mn0.5Zn0.5Fe2O4 spinel nano-magnets were synthesized using sol–gel technique and characterized through x-ray diffraction (XRD), Fourier transform-infrared radiation (FT-IR), impedance analyzer, modulus spectroscopy, scanning electron microscopy (SEM), vibrating sample magnetometer (VSM) and energy dispersive x-ray spectroscopy (EDX). The cations redistribution with Ce3+ substitution strongly affect the physical properties of the samples. Single phase spinel structure is identified for the synthesized samples and the crystal imperfection is found low. The lattice parameters reduce with Ce3+ concentration due to lanthanide contraction. The saturation magnetization of Mn0.5Zn0.5CexFe2−xO4 is found maximum for the x = 0 sample. The measured magnetic properties such as coercivity (Hc), retentivity (Mr) and saturation magnetization (Ms) decrease with increase in Ce3+ concentration. The synthesized samples show positive values of magnetic susceptibility which show anti-ferromagnetic/ferrimagnetic nature. The SEM images show increase in size of the grain with increasing sintering conditions parallel by significant decrease of pores, the position and the existence of tetrahedral and octahedral sites. The FT-IR spectra reveal the metal–oxygen oscillations at tetrahedral and octahedral sites. The dielectric constants are found in the range −118.6 to −242.5 at 2 MHz, which revealed moderate strain sensitivity, low ac conductivity and low dielectric loss. At low frequency range the synthesized samples are promising materials for stress sensor applications. [ABSTRACT FROM AUTHOR]

The opto-electronic properties and solar cell efficiency of halide perovskites A 2 LiInBr 6 (A = Rb, Cs) are investigated using density functional theory (DFT) through WEIN2k and SCAPS-1D. The electronic characteristic of A 2 LiInBr 6 (A = Rb, Cs) compounds reveal their direct bandgap semiconductor nature and are active in visible rang. The results indicate that substituting Cs with Rb causes a slight narrowing of the bandgap. According to the optical analysis, these compounds possess dynamic visible-range optical properties that make them ideal for application in opto-electronic devices and solar cells. The A 2 LiInBr 6 (A = Rb, Cs) absorber layer is employed to simulate the solar cell efficiency of these lead free perovskite-based device. The optimized FTO/WS 2 /A 2 LiInBr 6 (A = Rb, Cs)/Spiro-MeOTAD/Cu solar cells exhibit the best performance with WS 2 as the ETL and Spiro-MeOTAD as the HTL having V oc value of 2.27 V and 1.85 V, J sc value is 11.35 and 11.44 mA cm -2 , FF is 73.24% and 83.84%, PCE is 18.88% and 17.97%, R s is 9.94 and 4.88 Ω cm 2 and R sh is 1.35 and 1.14 Ω cm 2 respectively. As a result, this research paves the way for future experiments to create entirely inorganic perovskite photovoltaics, free of lead toxicity and exhibit improved photovoltaic ability., Competing Interests: The authors declare that they have no competing interest., (This journal is © The Royal Society of Chemistry.)

Background: Cardiac arrest is a common and devastating emergency of both the heart and brain. More than 380,000 patients suffer out-of-hospital cardiac arrest annually in the USA. Induced cooling of comatose patients markedly improved neurological and functional outcomes in pivotal randomized clinical trials, but the optimal duration of therapeutic hypothermia has not yet been established., Methods: This study is a multi-center randomized, response-adaptive, duration (dose) finding, comparative effectiveness clinical trial with blinded outcome assessment. We investigate two populations of adult comatose survivors of cardiac arrest to ascertain the shortest duration of cooling that provides the maximum treatment effect. The design is based on a statistical model of response as defined by the primary endpoint, a weighted 90-day mRS (modified Rankin Scale, a measure of neurologic disability), across the treatment arms. Subjects will initially be equally randomized between 12, 24, and 48 h of therapeutic cooling. After the first 200 subjects have been randomized, additional treatment arms between 12 and 48 h will be opened and patients will be allocated, within each initial cardiac rhythm type (shockable or non-shockable), by response adaptive randomization. As the trial continues, shorter and longer duration arms may be opened. A maximum sample size of 1800 subjects is proposed. Secondary objectives are to characterize: the overall safety and adverse events associated with duration of cooling, the effect on neuropsychological outcomes, and the effect on patient-reported quality of life measures., Discussion: In vitro and in vivo studies have shown the neuroprotective effects of therapeutic hypothermia for cardiac arrest. We hypothesize that longer durations of cooling may improve either the proportion of patients that attain a good neurological recovery or may result in better recovery among the proportion already categorized as having a good outcome. If the treatment effect of cooling is increasing across duration, for at least some set of durations, then this provides evidence of the efficacy of cooling itself versus normothermia, even in the absence of a normothermia control arm, confirming previous RCTs for OHCA survivors of shockable rhythms and provides the first prospective controlled evidence of efficacy in those without initial shockable rhythms., Trial Registration: ClinicalTrials.gov NCT04217551. Registered on 30 December 2019., (© 2024. The Author(s).)

Background and Objectives: Postoperative seizures are a common complication after surgical drainage of nonacute chronic subdural hematomas (SDHs). The literature increasingly supports the use of prophylactic antiepileptic drugs for craniotomy, a procedure that is often associated with larger collections and worse clinical status at admission. This study aimed to compare the incidence of postoperative seizures in patients treated with burr-hole drainage and those treated with craniotomy through propensity score matching (PSM)., Methods: A retrospective cohort analysis was conducted on patients with surgical drainage of nonacute SDHs (burr-holes and craniotomies) between January 2017 to December 2021 at 2 academic institutions in the United States. PSM was performed by controlling for age, subdural thickness, subacute component, and preoperative Glasgow Coma Scale. Seizure rates and accompanying abnormalities on electroencephalographic tracing were evaluated postmatching., Results: A total of 467 patients with 510 nonacute SDHs underwent 474 procedures, with 242 burr-hole evacuations (51.0%) and 232 craniotomies (49.0%). PSM resulted in 62 matched pairs. After matching, univariate analysis revealed that burr-hole evacuations exhibited lower rates of seizures (1.6% vs 11.3%; P = .03) and abnormal electroencephalographic findings (0.0% vs 4.8%; P = .03) compared with craniotomies. No significant differences were observed in postoperative Glasgow Coma Scale (P = .77) and length of hospital stay (P = .61)., Conclusion: Burr-hole evacuation demonstrated significantly lower seizure rates than craniotomy using a propensity score-matched analysis controlling for significant variables., (Copyright © Congress of Neurological Surgeons 2024. All rights reserved.)

Background: Cardiac arrest is a common and devastating emergency of both the heart and brain. More than 380,000 patients suffer out-of-hospital cardiac arrest annually in the United States. Induced cooling of comatose patients markedly improved neurological and functional outcomes in pivotal randomized clinical trials, but the optimal duration of therapeutic hypothermia has not yet been established., Methods: This study is a multi-center randomized, response-adaptive, duration (dose) finding, comparative effectiveness clinical trial with blinded outcome assessment. We investigate two populations of adult comatose survivors of cardiac arrest to ascertain the shortest duration of cooling that provides the maximum treatment effect. The design is based on a statistical model of response as defined by the primary endpoint, a weighted 90-day mRS (modified Rankin Scale, a measure of neurologic disability), across the treatment arms. Subjects will initially be equally randomized between 12, 24, and 48 hours of therapeutic cooling. After the first 200 subjects have been randomized, additional treatment arms between 12 and 48 hours will be opened and patients will be allocated, within each initial cardiac rhythm type (shockable or non-shockable), by response adaptive randomization. As the trial continues, shorter and longer duration arms may be opened. A maximum sample size of 1800 subjects is proposed. Secondary objectives are to characterize: the overall safety and adverse events associated with duration of cooling, the effect on neuropsychological outcomes, and the effect on patient reported quality of life measures., Discussion: In-vitro and in-vivo studies have shown the neuroprotective effects of therapeutic hypothermia for cardiac arrest. We hypothesize that longer durations of cooling may improve either the proportion of patients that attain a good neurological recovery or may result in better recovery among the proportion already categorized as having a good outcome. If the treatment effect of cooling is increasing across duration, for at least some set of durations, then this provides evidence of the efficacy of cooling itself versus normothermia, even in the absence of a normothermia control arm, confirming previous RCTs for OHCA survivors of shockable rhythms and provides the first prospective controlled evidence of efficacy in those without initial shockable rhythms., Trial Registration: ClinicalTrials.gov (NCT04217551, 2019-12-30)., Competing Interests: Competing interests {28} B Abella: Funding: NIH, DOD, Neuroptics, Becton Dickinson; equity: VOC Health, Neuroptics, MDAlly, volunteer: AHA T Aufderheide: Unrestricted research grant from ZOLL Medical, Inc. S Berry: Part owner of Berry Consultants K Broglio: Owns stock in AstraZeneca NIH (K23HL157610) and Hyper ne (SAFE MRI study) S Cho: NIH (K23HL157610) and Hyper ne (SAFE MRI study) R Lewis: I am the Senior Medical Scientist at Berry Consultants, LLC, a statistical consulting firm that specializes in the design, conduct, and analysis of Bayesian adaptive clinical trials. Berry Consultants contributed to the statistical design of the trial reported here. All other authors declare that they have no competing interests.

The Max-Mixed EWMA Exponentially Weighted Moving Average (MM EWMA) control chart is a statistical process control technique used for joint monitoring of the mean and variance of a process. This control chart is designed to detect small and moderate shifts in the mean and variance of a process by comparing the maximum of two statistics, one based on the mean and the other on the variance. In this paper, we propose a new MM EWMA control chart. The proposed chart is compared with existing control charts using simulation studies, and the results show that the chart performs better in detecting small and moderate shifts in both the mean and variance. The proposed chart can be helpful in quality control applications, where joint monitoring of mean and variance is necessary to ensure a product's or process's quality. The real-life application of the proposed control chart on yogurt packing in a cup data set shows the outperformance of the MM EWMA control chart. Both simulations & real-life application results demonstrate the better performance of the proposed chart in detecting smaller shifts during the production process., (© 2024. The Author(s).)