Yue, Zhang · Figshare · 2025
Determination methods and standard curves of proline (PRO), malondialdehyde (MDA), ascorbate peroxidase (APX), superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), reactive oxygen species (ROS), soluble protein (SP), photosynthetic pigments, and non-structural carbohydrates
Cited by 0Open access
Yue, Zhang · Figshare · 2025
Determination methods and standard curves of proline (PRO), malondialdehyde (MDA), ascorbate peroxidase (APX), superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), reactive oxygen species (ROS), soluble protein (SP), photosynthetic pigments, and non-structural carbohydrates
Cited by 0Open access
Chowdhury Muhtasim · OSF Preprints (OSF Preprints) · 2020
Cited by 0
Dominique Cansell · 2006
Cited by 52
Kashtalian, Tetiana · Figshare · 2025
<b>The KASHTALIAN Method</b> — a practical guide to building an integrated operating system from manufacturing and warehousing to sales and finance. The book shows how to move approvals into e-documents with clear SLAs, integrate ERP–APS–MES–WMS–CRM into a single decision loop, enforce master-data discipline, and implement planning policies that raise OTIF and shorten the “order → cash” cycle. It delivers proven management practices: formalized roles and accountabilities, standardized handoffs, regulated inventory rules (including FEFO), dashboards for daily monitoring, and a lean yet sufficient document flow.
Cited by 0Open access
Kashtalian, Tetiana · Figshare · 2025
<b>The KASHTALIAN Method</b> — a practical guide to building an integrated operating system from manufacturing and warehousing to sales and finance. The book shows how to move approvals into e-documents with clear SLAs, integrate ERP–APS–MES–WMS–CRM into a single decision loop, enforce master-data discipline, and implement planning policies that raise OTIF and shorten the “order → cash” cycle. It delivers proven management practices: formalized roles and accountabilities, standardized handoffs, regulated inventory rules (including FEFO), dashboards for daily monitoring, and a lean yet sufficient document flow.
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Claire Prada · The Journal of the Acoustical Society of America · 1997
The D.O.R.T. method (Décomposition de l’Opérateur de Retournement Temporel) generalizes the principle of acoustic time reversal mirrors. It applies to detection and focusing with large arrays of transducers [Prada et al., J. Acoust. Soc. Am. 99 (1996)]. A transducer array insonifying a scattering medium is characterized by its frequency-dependent transfer matrix K(ω). The time-reversal process is then described by time-reversal operator K(ω)K*(ω). The eigenvalue decomposition of this hermitian operator provides a classification and a localization of the scattering centers in the medium. The two main steps of the D.O.R.T. method are the measurement of the interelement impulse responses of each pair of elements in the array and the diagonalization of the corresponding time reversal operator at chosen frequencies. The method is efficient for the detection and selective focusing in an inhomogeneous multiple target medium. It also applies to the recognition of shells, in particular to the detection and characterization of circumferential waves propagating around the shell. The D.O.R.T. method and recent experiments of detection through channels and through inhomogeneous media will be presented.
Cited by 1
J. R. Abrial, M. K. O. Lee, Dave Neilson et al. · Lecture notes in computer science · 2005
Cited by 100
Jean−Raymond Abrial, Matthew K.O. Lee, Dave Neilson et al. · Oxford University Research Archive (ORA) (University of Oxford) · 1991
Cited by 0
Nadine Mariel Chiera (9105924), Zeynep Talip (4622110), Adelheid Fankhauser (9105927) et al. · Figshare · 2020
<p>The separation of the lanthanides of interest from the fluoride precipitate is performed with a four-step separation procedure (LN+DGA+SYKAM+LN3 resins).</p>
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James Hillman · 2013
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Gagniuc, Paul A. · Figshare · 2025
<b>The reputation-based method.</b> The legend for this figure elucidates the reputation-based method employed for determining the malware status of files, IP addresses, or links. This method hinges on the collective input of various user types, each with their unique voting capabilities, to ascertain the maliciousness of the subject in question. (A) Represents the file malware assessment. Within this panel, the primary inquiry revolves around identifying whether a specific file, denoted as “x,” qualifies as malware. Many categories of users partake in this evaluation process, with two predominant types represented: regular users (depicted in blue) and security specialists (illustrated in green). Each user type, ranging from the first user (1) to the <i>m</i>'th user, casts their vote to determine whether “x” possesses malicious attributes. Importantly, the opinions of security specialists carry a higher weightage, denoting their superior expertise in the assessment. To synthesize these various user inputs, a comprehensive formula is introduced. This formula aggregates the results by multiplying each user vote by their corresponding weightage. Consequently, the cumulative outcome, termed the “f(x) score,” serves as the pivotal determinant in categorizing “x” as either malware or a benign file. (B) Represents the IP Addresses and Links Evaluation. This section mirrors the narrative described in (A), but instead of assessing files, the focus shifts towards evaluating the legitimacy of IP addresses or links. The same user base, encompassing regular users and security specialists, collaborates to gauge the trustworthiness of these digital entities. Similar to the previous scenario, the weightage assigned to security specialists underscores their expertise. The overarching goal remains consistent: to derive an “f(x) score” that definitively classifies IP addresses or links as malicious or non-malicious.<b>References</b>Paul A. Gagniuc.<i> </i><i>Antivirus Engines: From Methods to Innovations and Applications</i><i>,</i><i> </i>Elsevier, Syngress, 2024, pp. 1-656.
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Samuel Zinaich · International Journal of Philosophical Practice · 2004
In this essay, I take up the question of whether Gerd B. Achenbach’s ‘beyond-method’ method provides a suitable approach to counseling for the philosophical counselor. Achenbach maintains that the best method to counseling is one that is beyond any one single system. Many scholars have expressed an increasing dissatisfaction with such a methodology. Although these critiques of Achenbach are helpful, I argue that they do not capture the real problem with his counseling method. After I discuss this additional difficulty, I conclude that it is beyond all dispute that the methods of philosophical counseling should be advanced along different lines.
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Cándido Piñeiro · 2025
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Ken Robinson · Lecture notes in computer science · 1997
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A. Knobloch · MPG.PuRe (Max Planck Society) · 1988
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Fedorych, Oleh · Figshare · 2024
Hybridization of molecular beacons
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Fedorych, Oleh · Figshare · 2024
Hybridization of molecular beacons
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Yujia Xiong (9245998), Jun Xin (9926265), Chao Su (423596) et al. · Figshare · 2025
Plugging Prediction ((a) SI method; (b) SAI method).
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James M. Pringle, James E. Byers, Paula Pappalardo et al. · Figshare · 2016
Numerical solution method.
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