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Substance S

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Most cited protocols related to «Substance S»

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Publication 2008
The applicant should specify the intended effect of the additive in animal nutrition and make a proposal for the classification of the additive in one or more categories and functional groups according to its main functions under Article 6 and Annex I of Regulation (EC) No 1831/2003.
For ‘substances for reduction of the contamination of feed by mycotoxins’, the target mycotoxin(s) should be specified.
For ‘hygiene condition enhancers’, the target microorganisms should be specified.
Any data from other known uses of the identical active substances or agents (e.g. use in food, human or veterinary medicine, agriculture and industry) must be provided. Any other authorisation as feed or food additive, veterinary drugs or other kind of authorisations of the active substance(s)/agent(s) has to be specified and properly referenced.
Publication 2017
Animal Nutritional Physiological Phenomena Food Food Additives Homo sapiens Mycotoxins Substance Use Veterinary Drugs
Screening scales were included in the AAS for eight DSM-IV disorders that have been found in previous general population studies to be significant predictors of suicidality (Nock et al., 2008 (link); Nock et al., in press ; Nock et al., 2009 (link)). These include two mood disorders (major depressive episode, mania/hypomania), three anxiety disorders (panic disorder with or without agoraphobia, generalized anxiety disorder, PTSD), and three externalizing disorders (adult attention-deficit hyperactivity disorder, intermittent explosive disorder, substance use disorder).
Symptom questions in most CIDI-SC scales ask respondents about the frequency of particular symptoms over the 30 days before interview using the response options all or almost all of the time, most of the time, some of the time, a little of the time, and none of the time. Each CIDI-SC scale has an embedded skip logic whereby all respondents are administered one or more entry questions and then either skipped if they fail to endorse these questions or continue to a series of follow-up questions if they endorse the entry question(s). This approach was designed to reduce overall scale administration time and respondent burden while minimizing the number of true positives incorrectly skipped out by the entry questions. Respondents who fail to endorse any of the entry questions are asked a total of 46 questions across all eight scales combined, while respondents who endorse every single question are asked an additional 82 questions.
The CIDI-SC major depressive episode (MDE) scale begins with four entry questions that ask about being sad, depressed, or discouraged; having little or no interest or pleasure in things; and feeling down on yourself, no good, or worthless (Kessler et al., 2012 ). Respondents who report that at least one of these symptoms occurred at least some of the time in the past 30 days are administered 10 additional questions to assess the inclusion criteria of MDE. The some of the time threshold, while low for a DSM-IV diagnosis of MDE (which requires depressive symptoms to last most of the day nearly every day for two weeks or longer), was chosen because we wanted to collect information not only on threshold cases but also on subthreshold manifestions of MDE. A similar attempt to collect information about subthreshold symptoms was made in selecting stem question skip rules for each of the other screening scales.
The CIDI-SC mania-hypomania (MHM) scale focuses on subthreshold hypomania as well as mania and hypomania based on evidence that subthreshold hypomania can be highly impairing (Merikangas et al., 2007 (link)). In addition, the questions focus on lifetime rather than 30-day prevalence due to the fact that recent bipolar disorder (BPD) can manifest as either MHM or as MDE. As described in more detail elsewhere (Kessler et al., 2006a (link); Kessler et al., 2012 ), the single MHM entry question begins with a vignette describing a hypomanic episode and then asks respondents if they ever had an episode of this sort at any time in their life. A positive response is followed by four questions about the frequency of core MHM symptoms during a typical intense episode of this sort. These symptoms include being much higher, happier, or optimistic than usual; much more irritable than usual; so hyper or wound up that you felt out of control; and having thoughts race through your mind so fast you could hardly keep track of them. Respondents who report that at least one of these symptoms occurrs at least some of the time during a typical intense episode are then administered six additional questions about the inclusion criteria of MHM and are then asked about episode recency to assess 30-day prevalence of MHM. Lifetime rather than 30-day MHM is evaluated here due to the rarity of 30-day MHM in the AAS sample.
The CIDI-SC panic disorder (PD) scale includes two entry questions about lifetime atacks of panic, anxiety, or strong fear that came on very suddenly and made you feel very frightened or uneasy; and attacks of heart pounding or chest pain that came on very suddenly and made you feel very frightened or uneasy (Kessler et al., 2012 ). A positive response to either entry question is followed by one additional question on how often these attacks are triggered (i.e., occur in situations where the respondent has a strong fear – like a fear of snakes or heights – or where the respondent is in real danger – like a car accident) versus untriggered (i.e., occur without provocation “out of the blue”). Respondents who report ever having untriggered attacks are then administered 13 additional questions to assess the remaining DSM-IV inclusion criteria of PD. Lifetime rather than 30-day PD is evaluated here due to the rarity of 30-day PD in the AAS sample.
The CIDI-SC generalized anxiety disorder (GAD) scale includes five entry questions about 30-day frequency of being anxious or nervous; worried about a number of different things; more anxious or worried than other people in your same situation; worried about things most other people don’t worry about; and having trouble controlling your worry or anxiety (Kessler et al., 2012 ). Respondents who report any of these symptoms at least some of the time are administered an additional nine questions to assess the remaining DSM-IV inclusion criteria of GAD along with a final question to assess persistence of symptoms. As a minimum duration of six months is required to meet DSM-IV criteria of GAD, the CIDI-SC assesses duration of symptoms, although the concordance data reported here are for symptoms in the 30-days before interview.
As noted above, PTSD is assessed in the AAS with the PCL. The PCL Civilian version (Weathers et al., 1993 ) was used in Army STARRS because we covered traumatic experiences both in and out of the line of duty. This is a 17-question scale that assesses the 17 DSM-IV Criterion B-D symptoms of PTSD. Although there are no entry questions in the PCL, AAS respondents are first asked 15 questions about traumatic experiences (TEs) that might have happened to them during deployments and 15 additional questions about TEs that might have happened at to them at any other time in life. Only respondents who report at least one of these 30 TEs are administered the PCL. The PCL questions ask how much respondents were bothered in the past 30 days by symptoms associated with any of the TEs they ever experienced. Response categories are extremely, quite a bit, moderately, a little bit, and not at all.
The CIDI-SC adult attention-deficit/hyperactivity disorder (ADHD) scale includes four entry questions found in previous research to provide an optimal short inclusion screen for ADHD in the adult general population (Kessler et al., 2010a (link)). Respondents who report at least two of these symptoms at least some of the time in the past six months then receive an additional 8 questions shown in a number of previous studies to detect adult ADHD with good accuracy (Kessler et al., 2007 ; Kessler et al., 2010a (link); Kessler et al., 2009 (link)).
The CIDI-SC intermittent explosive disorder (IED) scale includes one entry question about lifetime attacks of anger when the respondent all of a suddenlost control and either broke or smashed something worth more than a few dollars, hit or tried to hurt someone, or threatened someone (Kessler et al., 2006b (link)). A positive response is followed by 6 additional questions that assess the remaining DSM-IV inclusion criteria of IED. As the assessment of IED followed the same logic as the assessment of PD, lifetime rather than 30-day IED is evaluated here in parallel with the evaluation of PD.
The CIDI-SC assessment of substance use disorder (SUD), finally, begins with 12 entry questions about quantity-frequency of alcohol use, illicit drug use, and prescription drug misuse, where the latter is defined as use either without a doctor’s prescription, more than prescribed, or to get high, buzzed, or numbed out. Prescription drug misuse is included in the assessment based on evidence that it is considerably more common than illicit drug use in the Army (Bray et al., 2010 (link)). Respondents who report any of these types of substance use are then administered the four CIDI-SC questions about DSM-IV substance abuse in the 30 days before interview and eight additional questions to screen for substance dependence in the 30 days before interview including five from the Severity of Dependence Scale (Gossop et al., 1995 (link)) and three additional CIDI-SC questions. Substance use disorders (i.e., either abuse or dependence) are assessed only once for alcohol and/or drugs combined.
Publication 2013
NMR data in AnalysisAssign projects are organised in a hierarchical structure referred to as a Project (Fig. 1). There are eleven top-level, parent data objects in a project, of which seven have child objects, namely, Spectrum, Sample, Chain, NmrChain, ChemicalShiftList, DataSet and StructureEnsemble. The child data objects are organised in a logical hierarchy; for example, a Spectrum has PeakLists, which in turn, are made up of Peaks, whereas a Chain is made up of Residues, which are made up of Atoms. This data hierarchy is presented to the user in the sidebar of the graphical user interface (GUI; vide infra) and provides a clean way for users to navigate the multitude of different data objects that a project may contain. Within a project, all individual data objects have a so-called “project ID” or PID. The PID is a unique, systematically constructed string corresponding to a specific piece of data, for example a peak, a spectrum or an atom, and reflecting its hierarchical relationship, very much like a URL. In this way, any piece of data can be accessed from anywhere within the software in a straightforward way.

Overview of the hierarchical data structure of an AnalysisAssign project. The data objects cover all data that can be stored in a project. A Spectrum is an object containing the path to the stored NMR data file and all the stored properties of that data. A PeakList is a child object of a Spectrum and serves as a container for Peak objects, which contain all position, intensity and assignment information. A SpectrumGroup combines multiple Spectrum objects, so they can be treated as a single object. A Sample corresponds to an NMR sample and is made up of SampleComponents, which indicate the individual chemical entities that make up that Sample, e.g. protein, buffer, salt, and their concentrations. A Substance object represents a defined chemical entity. A Chain object corresponds to a molecular chain, made up of Residues, which in turn are made up of Atom objects. A Complex is a container for multiple chain objects. NmrAtom objects serve as a way of connecting a named nucleus to an observed chemical shift; peaks are assigned to NmrAtoms. NmrAtoms are grouped into NmrResidues, which in turn are grouped into NmrChains. A ChemicalShiftList object is a container for ChemicalShift objects, which represent observed chemical shifts. DataSet objects serve to group RestraintLists and other input and output from a calculation, with the Data object storing links to the data structures used (PeakLists, Spectra, StructureEnsembles etc.) and associated calculation parameters. A RestraintList contains Restraint objects of a specific type (distance, dihedral, etc.). Restraint objects contain the measured value of that restraint, information for force field calculations, and the Atoms involved in the restraint. CalculationStep objects are used to track the calculation history of a DataSet, with the programs used for previous steps and their input and output DataSets. A StructureEnsemble object is a container for ensembles of coordinate structures, with each coordinate structure defined by a Model object. Notes are objects that contain free-text information to be stored in a project

The NmrChain object and its descendent objects, NmrResidues and NmrAtoms are central to the assignment philosophy of AnalysisAssign and thus will be explained here. An NmrAtom serves as a way of connecting a named nucleus to an observed chemical shift; peaks are assigned to NmrAtoms. These NmrAtoms are grouped into NmrResidues, which in turn are grouped into NmrChains. This is a parallel hierarchy to Chains, Residues and Atoms, which represent the component parts of the molecule(s) under study. The NmrChain, NmrResidue and NmrAtom objects can be given any name desired; however, some rules and functional logic convey order to this process. The flexibility of naming, in particular NmrResidues, is incredibly useful in the different steps of protein assignment. NmrResidues can be created and just be given an index; e.g. @13, and leaving any residue type description either undefined or ambiguous, if so desired. However, it is also possible to name a residue with an offset relative to another NmrResidue, e.g. an NmrResidue called @13-1 would be the NmrResidue at a -1 offset to NmrResidue @13. This concept is used heavily in the implemented assignment procedures of AnalysisAssign.
In contrast to the NMR-related objects, the names of the molecular Chain, Residue and Atom objects are much more restricted and, in fact, directly follow the NEF syntax specification (Gutmanas et al. 2015 (link)). Crucially, NmrChain, NmrResidue and NmrAtom objects are deemed “assigned” when their names match the corresponding molecular objects in the parallel hierarchy, i.e. if the name of an NmrResidue matches the name of a Residue, this NmrResidue is considered assigned to that Residue and a dynamic connection between the two objects is established. By using this setup, we have secured flexibility in the assignment process, while simultaneously assuring that the end result would comply with valid molecular descriptors.
AnalysisAssign is fully compatible with CcpNmr version-2 projects (Vranken et al. 2005 (link)), and an on-the-fly conversion of the version-2 project preserves all data and metadata. The program is also capable of reading all major NMR spectral data formats natively, including Bruker (Bruker Biospin, Germany), Varian/Agilent (Agilent Technologies, USA), NmrPipe (Delaglio et al. 1995 (link)) and UCSF formats. By default, the NMR spectral data are not contained within the project. Instead, references to the data are maintained. A simple mechanism specifying a common location for these spectral data has been implemented in AnalysisAssign, allowing for a straightforward way to specify relative locations for the individual spectra. AnalysisAssign can read Fasta, PDB-v3 and NEF (Gutmanas et al. 2015 (link)) files for defining molecular sequences with more formats, e.g. mmCIF, to follow. For an overview of the different file formats, see Table 1.

Different data formats that can be loaded and parsed by AnalysisAssign

FormatDrop on sidebarLoad via menuDrop onto moduleAction
CCPN version 2 projectconvert to version 3 and load project
CCPN version 3 projectload project
NmrPipeloads and displays spectruma
Azaraloads and displays spectruma
Brukerloads and displays spectruma
Varian/Agilentloads and displays spectruma
NmrViewloads and displays spectruma
XEASYloads and displays spectruma
UCSFloads and displays spectruma
FASTAcreate molecule(s) from sequence
PDB-v3load structure(s)
NEFparse contents and load into project
comma separated fileparse contents and load if possible
Excel spread sheetparse contents and load if possible

aWhen dropped on spectrum display module

Publication 2016

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Publication 2012
Addictive Behavior Conditioning, Classical Ethanol Gills Patients Pharmaceutical Preparations Relapse Retention (Psychology) Substance Use Tooth Attrition

Most recents protocols related to «Substance S»

We first characterized the sample via descriptive statistics. We then sub-grouped participants by whether they reported ceased/decreased use of any substance (ceased/decreased use vs. no ceased/decreased use). We compared associations between these two sub-groupings and socio-demographic characteristics using chi-square tests and the Cramer V statistic for categorical variables, and independent sample t-tests and the Cohen d statistic for continuous variables. The details about how psychedelics contributed to ceased or decreased use of other substances are reported as proportions among those who reported ceased or decreased use. To identify potential predictors of changed substance use, we conducted binary logistic regression analyses for two separate outcome variables: one included only those who reported ceased or decreased substance use, and another included only those who reported increased or initiated use. Predictors in the model included: age, gender identity (female, other gender [gender fluid, transgender, a different gender] vs. male), education level (scored continuously from: less than high school, high school degree or equivalent, technical or non-university degree, university degree [Bachelor’s or equivalent], graduate degree [MA, MSc, etc.], doctorate or professional degree [JD, MD, PhD, etc.]), income (scored continuously from: very low income/well below average, low income/below average, middle income/about average, high income/above average, very high income/well above average), race/ethnicity (White/Caucasian vs. other), region of residence (Europe/United Kingdom, Canada/United States, Australia/New Zealand vs. other), number of psychedelics used (up to 12), type of psychedelic dose(s) consumed (both macro and microdoses, only microdoses, vs. only macrodoses), motivations for psychedelic use (medical, recreational, to reduce other substance use; all yes vs. no). Significance was set at α = 0.05 (two-sided), and all analyses were conducted using SPSS version 29.
Publication 2024
Grey literature searches will be adapted from our core search strategy. We will search archived conference proceedings from three annual meetings from 2016 to 2023: Annual Conference on the Science and Dissemination and Implementation in Health [58 ], Association for Multidisciplinary Education and Research in Substance use and Addiction (AMERSA) [59 ], and Society for Maternal-Fetal Medicine [60 ]. Conference proceedings will be searched using key words such as “pregnancy”, “substance use”, “acute care”, “labor/delivery”, and “project”, consistent with our eligibility criteria and core search strategy. Final search terms will be documented in accordance with PRISMA-S [61 (link)].
Additionally, we will search State Perinatal Quality Collaborative (PQC) websites for active QI initiatives that match our eligibility criteria. PQCs provide infrastructure to partnered hospitals and health care providers, and support hospital-based obstetrics QI projects [49 (link)]. Using an online database from the National Network of Perinatal Quality Collaboratives, [62 ] we will search PQC websites that list “substance use disorder among pregnant people (including but not limited to opioids)” as a key initiative at the time of search.
We will additionally search websites of PQCs named in any published studies that meet our inclusion criteria to find any past unpublished reports. We will also include any relevant published articles or unpublished reports that are found on PQC websites during the search. The reference list of all included published and unpublished studies will be screened for additional relevant studies.
Publication 2024
The patients were recruited by their physician when they came to the RSCCA for their routine follow-up between September 2015 and December 2017. The physician completed a form with the patient’s medical data. Thereafter, patients were interviewed by phone by a trained interviewer. An ad hoc standardized heteroquestionnaire for phone interview was validated by the steering committee. Before starting phone interviews, the interviewer had a specific formation on SCD and pharmacodependence with members of the steering committee and received a notice with instructions on how to ask the questions according to the age of the interviewee and the substance used.
Data from the physician’s form included demographic (sex, age) and clinical data (SCD genotype, hospitalizations for VOC in the past 12 months). Data from the phone interview included socioeconomic data (occupational activity for majors, employment status of mother and father for minors) number of different analgesics used at home in the past 12 months, use of psychoactive medicines or drugs (other than analgesics) in the past 12 months (only for patients age 12 and over), effects sought and felt with EMONO, use of EMONO out of a painful context (i.e., in the hospital but at a time when there was little or no pain) and assessment of SUD for EMONO and other analgesic drugs according to DSM 5 criteria [23 ].
To assess the effects of EMONO, felt or sought, patients were asked to answer “yes” or “no” to the following proposals: analgesia, sedation, anxiolysis, reduction of negative affects, gliding, well-being and other effects (specify). For the analysis, effects were grouped into categories as follows: “Therapeutic only” when the analgesic effect was the only or when it was associated with sedation and/or anxiolysis but with no other effect; “Gliding” when “high” effects were mentioned regardless of other effects; “Others” for patients who did not fit into either of the above two categories.
SUD was assessed using DSM 5 criteria [23 ] in relation to the context(s) of use: 1) when the drug was used for analgesic effects in a painful context and 2) when (if) the drug was used outside a painful context. According to the DSM 5, SUD was defined by meeting at least 2 of the 11 diagnostic criteria. Figure 1 (SUD criteria positivity rate) details SUD criteria. As a general estimate of severity, a “mild” SUD is suggested by the presence of two to three criteria, “moderate” by four to five criteria, and “severe” by six or more criteria.

SUD criteria positivity rate. *if there are missing data for some items, the number of patients concerned is mentioned below. DSM SUD criteria: Item 1 = Using more of a substance than planned, or using a substance for a longer interval than desired (missing data for 2 patients). Item 2 = Inability to cut down despite desire to do so (missing data for 2 patients). Item 3 = Spending substantial amount of the day obtaining, using, or recovering from substance use (missing data for 1 patient). Item 4 = Cravings or intense urges to use (missing data for 1 patient). Item 5 = Recurrent substance use may result in a failure to fulfill major role obligations at work, school, or home (missing data for 1 patient). Item 6 = Persistent usage despite persistent or recurrent social or interpersonal problems. Item 7 = Giving up or cutting back on important social, professional, or leisure activities because of use. Item 8 = Using in physically hazardous situations, or usage causing physical or mental harm. Item 9 = Persistent use despite the user's awareness that the substance is causing or at least worsening a physical or mental problem. Item 10 = Tolerance: needing to use increasing amounts of a substance to obtain its desired effects (missing data for 2 patients). Item 11 = Withdrawal: characteristic group of physical effects or symptoms that emerge as amount of substance in the body decreases (missing data for 2 patients)

(N=339 patients*)

Publication 2024

Chemical identity

Description of manufacturing process of substance/FCM

Physical and chemical properties

Intended uses

Existing authorisation(s)

Migration of the substance

Identification and migration of impurities

Identification and migration of oligomers and reaction products

Publication 2024
Not available on PMC !
This questionnaire included questions aimed at collecting sociodemographic data from the participant, such as gender, age, residence, marital status, education level, and employment status for all groups under study. In a second part, which was filled out only by the TG and AG groups, data regarding substance use were collected, including age of onset of substance use, duration of consumption, months or years of abstinence, substance(s) of dependence and/or choice, number of treatments undergone in communities, as well as other treatments received (e.g., outpatient).
The procedures in this study consisted of three phases:
Publication 2024

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More about "Substance S"

Substance S is an essential biomolecule that plays a crucial role in cellular function.
Its importance in biological research has led to the development of various tools and techniques to enhance the reproducibility and accuracy of Substance S studies.
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Substance S, also known as [TYPO] SAS 9.4 or SAS version 9.4, is a versatile molecule that is involved in a wide range of cellular processes.
Researchers often utilize TRIzol reagent, SPSS version 20, Stata 13, Stata 15, Prism 6, or Stata 14 to study the effects of Substance S on cellular function.
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