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The commercial low-pressure column chromatographic [sup.99]Mo/[sup.99m]Tc generator represents a reliable source of onsite, ready-to-use [sup.99m]Tc for industrial applications. These generators use fission-produced [sup.99]Mo of high specific activity, posing serious production challenges and raising proliferation concerns. Therefore, many concepts are aimed at using low-specific-activity (LSA) [sup.99]Mo. Nonetheless, the main roadblock is the low sorption capacity of the used alumina (Al[sub.2]O[sub.3]). This study investigates the feasibility of using commercial alumina incorporated with LSA [sup.99]Mo to develop a useful [sup.99]Mo/[sup.99m]Tc generator for industrial radiotracer applications. First, the adsorption profiles of some commercial alumina sorbents for LSA [sup.99]Mo were tested under different experimental conditions. Then, the potential materials to develop a [sup.99]Mo/[sup.99m]Tc generator were selected and evaluated regarding elution yield of [sup.99m]Tc and purity. Among the sorbents investigated in this study, mesoporous alumina (SA-517747) presented a unique sorption-elution profile. It demonstrated a high equilibrium and dynamic sorption capacity of 148 ± 8 and 108 ± 6 mg Mo/g. Furthermore, [sup.99m]Tc was eluted with high yield and adequate chemical, radiochemical, and radionuclidic purity. Therefore, this approach provides an efficient and cost-effective way to supply onsite [sup.99m]Tc for radiotracer applications independent of fission-produced [sup.99]Mo technology.

The problem of detecting whether two behavioral constructs reference the same real-world phenomenon has existed for over 100 years. Discordant naming of constructs is here termed the construct identity fallacy (CIF). We designed and evaluated the construct identity detector (CID), the first tool with large-scale construct identity detection properties and the first tool that does not require respondent data. Through the adaptation and combination of different natural language processing (NLP) algorithms, six designs were created and evaluated against human expert decisions. All six designs were found capable of detecting construct identity, and a design combining two existing algorithms significantly outperformed the other approaches. A set of follow-up studies suggests the tool is valuable as a supplement to expert efforts in literature review and metaanalysis. Beyond design science contributions, this article has important implications related to the taxonomic structure of social and behavioral science constructs, for the jingle and jangle fallacy, the core of the Information Systems nomological network, and the inaccessibility of social and behavioral science knowledge. In sum, CID represents an important, albeit tentative, step toward discipline-wide identification of construct identities.

The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is proposed in 2015 to solve constraint optimization problems. This paper presents a comprehensive survey of the applications, variants, and results of the so-called LSA. In LSA, the best-obtained solution is defined to improve the effectiveness of the fitness function through the optimization process by finding the minimum or maximum costs to solve a specific problem. Meta-heuristics have grown the focus of researches in the optimization domain, because of the foundation of decision-making and assessment in addressing various optimization problems. A review of LSA variants is displayed in this paper, such as the basic, binary, modification, hybridization, improved, and others. Moreover, the classes of the LSA’s applications include the benchmark functions, machine learning applications, network applications, engineering applications, and others. Finally, the results of the LSA is compared with other optimization algorithms published in the literature. Presenting a survey and reviewing the LSA applications is the chief aim of this survey paper.

Life-space mobility (LSM) is a concept for assessing patterns of functional mobility over time. LSM is gaining traction in the research of geriatric population health. Several instruments have been developed to measure LSM, such as the University of Alabama at Birmingham Life-Space Assessment (LSA) or the Nursing Home Life-Space Diameter instrument. There has been exponential growth in the use of instruments measuring LSM in studies of older adults since the concept was introduced in 1985. In response to the increased volume of publications with clinical applicability to those working in geriatric health or conducting population-based research in older adults, we conducted a narrative review: a) to provide a summary of the articles that have assessed validation of the University of Alabama at Birmingham LSA instrument, the most widely used instrument to assess LSM in older adults; and b) to provide a summary of the research articles that have examined LSM as independent or outcome variable. Studies for this review were obtained with an organized search format and were included if they were published in the past 20 years, written in English, published in peer-reviewed literature, and included LSM as an independent or outcome variable. Seventy-nine articles were identified: 36 that employed a cross-sectional design and 22 that employed a longitudinal/prospective design to examine LSM as outcome variable; 17 longitudinal/prospective design articles that examined LSM as primary independent variable; 3 review articles; and 1 systematic review. Areas of research included physical function, cognitive function, sensory impairment, mental health, falls, frailty, comorbidities, healthcare use, mortality, and social/environmental factors. These studies showed that LSM instruments can accurately predict morbidity, mortality, and healthcare use.

Ultra-high-performance concrete (UHPC) beam shear strength prediction is a complicated process due to the involvement of numerous parameters. The accuracy needed for precise predictions is frequently lacking in current empirical equations and traditional machine learning (ML) techniques. This study proposes hybrid ML models that integrate three nature inspired metaheuristic algorithms—Giant Armadillo Optimization (GOA), Spotted Hyena Optimization (SHO) and Leopard seal optimization (LSA)- Extreme Gradient Boosting (XGB) to predict the shear strength of UHPC beams. A comprehensive dataset was created from extensive literature reviews and trained and tested on the models using multiple input parameters that affect UHPC’s shear capacity. For model assessment, performance metrics, such as coefficient of determination (R 2 ), root mean square error (RMSE), mean absolute error (MAE), and variance accounted for (VAF), were utilized. Results showcased high accuracy, with R 2 values approaching 0.9912 in training and 0.9802 in testing phases using the LSA-XGB algorithm, indicating excellent model fit and predictive reliability. To improve the model’s transparency and interpretability, the study also incorporates shapely additive explanations (SHAP), which reveal how each dataset attribute affects the predictive results. The LSA-XGB algorithm performed better than prior studies and empirical equations in predicting the shear strength of UHPC beams. More sophisticated machine learning techniques that improve the precision of predicting the shear capacity of UHPC beams are demonstrated in the study. Further, the use of a graphical user interface (GUI) helps researchers and engineers to make quick, well-informed decisions in real-time. These findings offer a reliable, interpretable, and accessible approach to predicting shear strength in UHPC beams, contributing to safer structural engineering practices.

Information from micro-blogging site such as Twitter is a huge repository of data. A lot of research is happening on sentiments, discovering patterns and prediction. One challenging task is dividing this humongous unstructured data into clusters. Several topic modeling methods are proposed by researchers. This paper presents a brief summary of topic modeling methods LDA, LSI and NMF and their applications. Experiments are conducted on the Twitter based datasets created using tweets on keywords Cauvery river, Lokpal bill and Rahul Gandhi. Paper covers a brief discussion on evaluating the accuracy of topics formed using perplexity, log-likelihood and topic coherence measures. Best topics formed are then fed to the Logistic regression model. The model created is showing better accuracy with LDA.

This study revisits the hypothesis that Claviceps purpurea (Fr.) Tul., a fungus infecting cereals and producing ergot alkaloids (EAs), was the psychedelic agent in kykeon , the sacred elixir of the Eleusinian Mysteries. Although archaeological evidence supports this link, experimental data confirming the transformation of toxic ergopeptides into psychoactive lysergic acid amide derivatives in putative ancient preparations remain limited. The potential hydrolysis products of ergot were investigated using a technique that could have been readily applied by the priestesses of Eleusis, notably reacting in lye. Pulverized sclerotia were refluxed in solutions of lye and in distilled water. Samples obtained after liquid-liquid extractions were analyzed with  1 H-NMR and UHPLC/Q-TOF-HRMS. The  1 H NMR spectra demonstrated conversion of toxic ergopeptides, present in control samples but absent at all reaction times in 5% w/v ergot treated with pH 12.5 lye, where characteristic peaks for lysergic acid amide (LSA; ergine) and isolysergic acid amide (iso-LSA; isoergine; erginine) appeared. UHPLC/Q-TOF-HRMS quantitation confirmed this conversion, yielding 0.54 mg LSA and 0.48 mg iso-LSA per gram of ergot at 120 min. The chemical transformation of toxic EAs to psychoactive compounds, utilizing ancient technology, was demonstrated and supports the “psychedelic Eleusis” hypothesis.

Aims and objectives The aim of this study is to systematically review randomized controlled clinical trials (RCTs) studying various types of regenerative medicine methods (such as platelet-rich plasma, stromal vascular fraction, cell therapy, conditioned media, etc.) in treating specific dermatologic diseases. Rejuvenation, scarring, wound healing, and other secondary conditions of skin damage were not investigated in this study. Method Major databases, including PubMed, Scopus, and Web of Science, were meticulously searched for RCTs up to January 2024, focusing on regenerative medicine interventions for specific dermatologic disorders (such as androgenetic alopecia, vitiligo, alopecia areata, etc.). Key data extracted encompassed participant characteristics and sample sizes, types of regenerative therapy, treatment efficacy, and adverse events. Results In this systematic review, 64 studies involving a total of 2888 patients were examined. Women constituted 44.8% of the study population, while men made up 55.2% of the participants, with an average age of 27.64 years. The most frequently studied skin diseases were androgenetic alopecia (AGA) (45.3%) and vitiligo (31.2%). The most common regenerative methods investigated for these diseases were PRP and the transplantation of autologous epidermal melanocyte/keratinocyte cells, respectively. Studies reported up to 68.4% improvement in AGA and up to 71% improvement in vitiligo. Other diseases included in the review were alopecia areata, melasma, lichen sclerosus et atrophicus (LSA), inflammatory acne vulgaris, chronic telogen effluvium, erosive oral lichen planus, and dystrophic epidermolysis bullosa. Regenerative medicine was found to be an effective treatment option in all of these studies, along with other methods. The regenerative medicine techniques investigated in this study comprised the transplantation of autologous epidermal melanocyte/keratinocyte cells, isolated melanocyte transplantation, cell transplantation from hair follicle origins, melanocyte–keratinocyte suspension in PRP, conditioned media injection, a combination of PRP and basic fibroblast growth factor, intravenous injection of mesenchymal stem cells, concentrated growth factor, stromal vascular fraction (SVF), a combination of PRP and SVF, and preserving hair grafts in PRP. Conclusion Regenerative medicine holds promise as a treatment for specific dermatologic disorders. To validate our findings, it is recommended to conduct numerous clinical trials focusing on various skin conditions. In our study, we did not explore secondary skin lesions like scars or ulcers. Therefore, assessing the effectiveness of this treatment method for addressing these conditions would necessitate a separate study.

Johnson J, Rodriguez MA, Al Snih S. Clin Interv Aging. 2020;15:1665-1674. Page 1666, Introduction, left column, fourth paragraph, the text \"The Life-Space at Home (LSH), published in 2013 by Hashidate et al,9 providing a measure of mobility among outpatient ophthalmology patients, was created by physical therapists who sought to obtain more detail about the distances traveled by their homebound patients.9\" should read \"The Life-Space at Home (LSH), published in 2013 by Hashidate et al,9 was developed to study life-space mobility at home among older adults with difficulty performing outdoor activities. Life-space mobility was assessed at home by asking participants about distance and frequency of moving from a bedroom to four destinations (entrance, dining room, bathroom, toilet) in the prior week of the assessment\". The authors apologize for this error.

The commercial low-pressure column chromatographic 99Mo/99mTc generator represents a reliable source of onsite, ready-to-use 99mTc for industrial applications. These generators use fission-produced 99Mo of high specific activity, posing serious production challenges and raising proliferation concerns. Therefore, many concepts are aimed at using low-specific-activity (LSA) 99Mo. Nonetheless, the main roadblock is the low sorption capacity of the used alumina (Al2O3). This study investigates the feasibility of using commercial alumina incorporated with LSA 99Mo to develop a useful 99Mo/99mTc generator for industrial radiotracer applications. First, the adsorption profiles of some commercial alumina sorbents for LSA 99Mo were tested under different experimental conditions. Then, the potential materials to develop a 99Mo/99mTc generator were selected and evaluated regarding elution yield of 99mTc and purity. Among the sorbents investigated in this study, mesoporous alumina (SA-517747) presented a unique sorption-elution profile. It demonstrated a high equilibrium and dynamic sorption capacity of 148 ± 8 and 108 ± 6 mg Mo/g. Furthermore, 99mTc was eluted with high yield and adequate chemical, radiochemical, and radionuclidic purity. Therefore, this approach provides an efficient and cost-effective way to supply onsite 99mTc for radiotracer applications independent of fission-produced 99Mo technology.