Identification Program Research Articles

Accuracy of Automatic Cephalometric Analysis Programs on Lateral Cephalograms of Preadolescent Children

The aim of this study was to evaluate the accuracy of 3 different automatic landmark identification programs on lateral cephalgrams and the clinical acceptability in pediatric dentistry. Sixty digital cephalometric radiographs of 7 to 12 years old healthy children were randomly selected. Fourteen landmarks were chosen for assessment and the mean of 3 measurements of each landmark by a single examiner was defined as the baseline landmarks. The mean difference between an automatically identified landmark and the baseline landmark was measured for each landmark on each image. The total mean difference of 3 automatic programs compared to the baseline landmarks were 2.53 ± 1.63 mm. Errors among 3 programs were not significantly different for 12 of 14 landmarks except Orbitale and Gonion. The automatic landmark identification programs showed significant higher mean detection errors than the manual method. The programs couldn’t be used as the 1st tool to replace human examiners. But considering short consuming time, these results indicate that all 3 programs have sufficient validity to be used in pediatric dental clinic.

Early Specialization and Critical Periods in Acquiring Expertise: A Comparison of Traditional Versus Detection Talent Identification in Team GB Cycling at London 2012

The aim of this study was to compare two methodologies employed by the British Cycling talent identification program. Specifically, the authors investigated cyclists selected to represent GB cycling team at the London 2012 Olympics using (a) a traditional talent identification methodology (British Cycling Olympic Development Program), where selection is based upon race results and (b) a detection talent identification methodology (U.K. Sport Talent Team Program), which is a multi-Olympic event initiative that identifies athletic potential from physical and skill-based tests. To facilitate this comparison, the authors calculated the speed with which expertise was acquired. A Mann–WhitneyUtest (U = 16.0,p = .031) indicated that the speed of acquiring expertise was quicker in detection talent identification (Mdn = 5.4) than traditional talent identification (Mdn = 7.2). Practice started later with detection talent identification than with traditional talent identification (14.12 years vs. 11.23 years, respectively), which affected the period to excellence. Thus, detection talent identification resulted in an absence of early specialization, which suggests a critical period for attaining cycling expertise. The authors hypothesize a genetic basis of talent and propose that critical periods are important in detection talent identification programs.

Identification of Molds with Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry: Performance of the Newly Developed MSI-2 Application in Comparison with the Bruker Filamentous Fungi Database and MSI-1.

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) represents a promising tool for the rapid and efficient identification of molds, but improvements are still necessary to achieve satisfactory results when identifying cryptic species. Here, we aimed to validate a new web application, MSI-2, which replaces MSI-1, an application that was built and deployed online in 2017. For the evaluation, we gathered 633 challenging isolates obtained from daily hospital practice that were first identified with DNA-based methods, and we submitted their corresponding mass spectra to three identification programs (Bruker, MSI-1, and MSI-2). The MSI-2 application had a better identification performance at the species level than MSI-1 and Bruker, reaching 83.25% correct identifications, compared with 63.19% (MSI-1), 38.07% (Bruker with a 1.7 threshold), and 21.8% (Bruker with a 2.0 threshold). The MSI-2 application performed especially well for Aspergillus and Fusarium species, including for many cryptic species, reaching 90% correct identifications for Aspergillus species and 78% for Fusarium species compared to 69% and 43% with MSI-1. Such an improvement may have a positive impact on patient management by facilitating the identification of cryptic species potentially associated with a specific antifungal resistance profile.

Physical fitness profiles of female Australian football players across five competition levels

ABSTRACT Objectives To examine physical fitness profiles of female Australian football players and investigate differences according to competition level. Methods A testing battery of 28 physical fitness assessments was undertaken with 240 players across five competition levels: elite senior (≥18 years), non-elite senior (≥18 years), high-level junior (<18 years), non-elite junior (14–17 years), and non-elite junior (10–13 years). Physical fitness profiles were examined and competition level differences were investigated using multivariate analyses of variance. Results Significant differences (p<0.001) were observed between competition levels in body composition (η2 p=0.225), flexibility (η2 p=0.071), muscular strength and endurance (η2 p=0.238), balance (η2 p=0.093), reaction time (η2 p=0.103), and whole-body locomotor performance (η2 p=0.200). Elite seniors and high-level juniors were stronger (p<0.001–0.043), faster (p=0.001–0.022), more responsive (p<0.001–0.048), and had better cardiorespiratory fitness (p<0.001) compared to the non-elite groups. Additionally, body composition and muscular strength and endurance differences were common between the senior and non-elite junior groups. Conclusions This is the first study to comprehensively profile physical characteristics of female Australian footballers across a broader development pathway. These preliminary findings may assist sport practitioners to better understand athlete development, provide insight on talent identification and development programs, and injury management in this population.

Depression among attendants of the Sudanese National Association of the Blinds in Khartoum, Sudan

BackgroundBlindness has profound consequences for the victim, family, and society. The impact of vision loss on daily life activities could lead to psychological stress. Early treatment of depression may reduce the added disability that is associated with vision loss. This study aimed to assess the extent and associated factors with depression among the Sudanese blind people in Khartoum, Sudan. A cross-section facility-based study was conducted, in which depression among the participants was assessed using the Beck Depression Inventory Scale. A chi-square test was implemented to determine the relationship between categorical variables and the significance level for all analyses was set at p < 0.05.ResultsA total of 185 participants were included in the study. Out of them, 84.3% were male and near half of the participants (42.2%) were born blind. The prevalence of depression among the participants was 11.4%. There were significantly higher rates of depression in those who were illiterate (χ2 = 6.233, p = 0.044) and in those whose loss of vision was due to accidents or traumatic causes and loss of vision due to accidents or traumatic causes (χ2 = 12.840, p = 0.002). There was significantly lower rate of depression in those who were born with blindness compared to others (χ2 = 10.504, p = 0.005).ConclusionsPeople who were born blind have a lower rate of depression and people who lost their sight due to trauma have a higher rate of depression, and therefore, requiring more psychiatric support. Despite the relatively low percentage of depression, establishing programs for early identification and combating depression among the blind population in our setting is highly recommended.

Identification of a mathematical model for a single-shaft power-generating GTE

The design and development processes of gas turbine engines rely on the usage of mathematical models representing the physics of engine functioning processes. One way of increasing the validity of a mathematical model is its identification based on engine test results. The identification of mathematical models of modern power-generating gas turbine engines (GTEs) presents a demanding and time-consuming task due to the necessity to identify the main controlled engine parameters determined in the course of experimental studies depending on a large number of the parameters that are not controlled during the experiment. In this regard the actual direction of reducing the labour intensity of the process of mathematical model identification is using identification program complexes. The object of the study was to solve the problem of structural-parametrical identification of the power-generating GTE functioning model detailing the turbine flow path calculations to the level of blade rows in order to obtain the GTE mathematical model that describes the characteristics of a real engine with given accuracy. To achieve the objective, the following problems were solved: variable parameters, controlled parameters and characteristics, ranges of their variations were selected from the total number of the mathematical model input data, the objective functions were defined; the task of the parametric identification according to the results of bench tests through GTE operating modes was performed; analytical approximating dependences for correcting coefficients (variable parameters) were obtained; structural-parametric identification of the mathematical model was performed. The novelty of the obtained results is the identification of the mathematical model of the nonlinear component GTE of the second level performed without model linearization (without its level lowering) by using the Optimum software packages. The methodological approach for the parametric identification of the mathematical model is proposed. This approach allows reducing the number of variable parameters under the modes lower that the maximum. It shows that the identified model allows obtaining the prediction results of the GTE parameters and characteristics through operating modes with a deviation of no more than 1.4% from the experimental data and, therefore, it will allow reduction of terms and an increase in the quality of power unit development.

Multiple pathways to scaling up and sustainability: an exploration of digital health solutions in South Africa

BackgroundWith the aim to support further understanding of scaling up and sustaining digital health, we explore digital health solutions that have or are anticipated to reach national scale in South Africa: the Perinatal Problem Identification Programme (PPIP) and Child Healthcare Problem Identification Programme (Child PIP) (mortality audit reporting and visualisation tools), MomConnect (a direct to consumer maternal messaging and feedback service) and CommCare (a community health worker data capture and decision-support application).ResultsA framework integrating complexity and scaling up processes was used to conceptually orient the study. Findings are presented by case in four domains: value proposition, actors, technology and organisational context. The scale and use of PPIP and Child PIP were driven by ‘champions’; clinicians who developed technically simple tools to digitise clinical audit data. Top-down political will at the national level drove the scaling of MomConnect, supported by ongoing financial and technical support from donors and technical partners. Donor preferences played a significant role in the selection of CommCare as the platform to digitise community health worker service information, with a focus on HIV and TB. A key driver of scale across cases is leadership that recognises and advocates for the value of the digital health solution. The technology need not be complex but must navigate the complexity of operating within an overburdened and fragmented South African health system. Inadequate and unsustained investment from donors and government, particularly in human resource capacity and robust monitioring and evaluation, continue to threaten the sustainability of digital health solutions.ConclusionsThere is no single pathway to achieving scale up or sustainability, and there will be successes and challenges regardless of the configuration of the domains of value proposition, technology, actors and organisational context. While scaling and sustaining digital solutions has its technological challenges, perhaps more complex are the idiosyncratic factors and nature of the relationships between actors involved. Scaling up and sustaining digital solutions need to account for the interplay of the various technical and social dimensions involved in supporting digital solutions to succeed, particularly in health systems that are themselves social and political dynamic systems.

Phage Commander, an Application for Rapid Gene Identification in Bacteriophage Genomes Using Multiple Programs.

The number of sequenced bacteriophage genomes is growing at an exponential rate. The majority of sequenced bacteriophage genomes are annotated by one or more of several freely available gene identification programs (Glimmer, GeneMark, RAST, Prodigal, etc.). No program has been shown to consistently outperform the others; thus, the choice of which program to use is not obvious. We present the Phage Commander application for rapid identification of bacteriophage genes using multiple gene identification programs. Phage Commander runs a bacteriophage genome sequence through nine gene identification programs (and an additional program for identification of tRNAs) and integrates the results within a single output table. Phage Commander also generates formatted output files for direct export to National Center for Biotechnology Information GenBank or genome visualization programs such as DNA Master. Users can select the threshold for which genes to export (genes identified by at least one program, genes identified by at least two programs, etc.). Phage Commander was benchmarked using eight high-quality bacteriophage genomes whose genes are backed by experimental data. Our results show that the most accurate annotations are obtained by exporting genes identified by at least two or three programs. Many groups opt to manually curate the annotations obtained from gene identification programs, and Phage Commander was designed to facilitate manual curation of genome annotations. Our benchmarking results show that manual curation does indeed produce more accurate annotations than any individual gene identification program. The authors thus recommend manually curating the output of Phage Commander to generate maximally accurate annotations. Phage Commander is currently being used in the corresponding author's bacteriophage genome annotation class and has reduced the labor cost and improved the quality of genome annotations.

Kerjasama Pusat Kegiatan Belajar Masyarakat dengan Pemerintah Desa sebagai Upaya Meningkatkan Partisipasi Pendidikan Masyarakat

This study aimed to analyze educational strategies and patterns of cooperation between community learning activity centers and village governments, and analyze the constraints and efforts made in the process of increasing community education participation. The study used a qualitative approach with a case study method. The cases were chosen were typical cases that be able to represent similar cases, namely a form of collaboration between the community learning activity center and the village government. The qualitative data analysis used was pattern matchmaking analysis, to answer big questions related to strategies, forms, constraints, and solutions in building cooperation between community learning activity centers and village governments. The obtained results indicated that the strategies used by the community learning activity center in the process of increasing community education participation were in the form of community identification strategies, programs, and partnerships. The pattern of cooperation between the community learning center and the village government was in the form of coaching and mentoring, with the form of cooperation in the form of support for policy regulations, legal protection, budget assistance, mentoring, coaching, and motivation. The obstacles faced by the community learning activity center were weak community commitment and less than optimal program socialization. Efforts to overcome these obstacles were carried out by implementing performance and performance strategies and increasing innovation in disseminating educational programs.

Rapid and sensitive mycoplasma detection system using image-based deep learning

A major concern in the clinical application of cell therapy is the manufacturing cost of cell products, which mainly depends on quality control. The mycoplasma test, an important biological test in cell therapy, takes several weeks to detect a microorganism and is extremely expensive. Furthermore, the manual detection of mycoplasma from images requires high-level expertise. We hypothesized that a mycoplasma identification program using a convolutional neural network could reduce the test time and improve sensitivity. To this end, we developed a program comprising three parts (mycoplasma detection, prediction, and cell counting) that allows users to evaluate the sample and verify infected/non-infected cells identified by the program. In experiments conducted, stained DNA images of positive and negative control using mycoplasma-infected and non-infected Vero cells, respectively, were used as training data, and the program results were compared with those of conventional methods, such as manual counting based on visual observation. The minimum detectable mycoplasma contaminations for manual counting and the proposed program were 10 and 5 CFU (colony-forming unit), respectively, and the test time for manual counting was 20 times that for the proposed program. These results suggest that the proposed system can realize a low-cost and streamlined manufacturing process for cellular products in cell-based research and clinical applications.

Comparison of matK and rbcL DNA barcodes for genetic classification of jewel orchid accessions in Vietnam

BackgroundJewel orchid is the common name of several orchid species which can be alike in morphological characteristics, but variable in medicinal properties. At present, two DNA barcode loci, namely, maturase K (matK) and ribulose 1,5-biphosphate carboxylase (rbcL), are intensively utilized for plant identification. However, the discrimination effectiveness of these loci is variable among plant species. This study was carried out to compare the identifying efficacy of these two loci on jewel orchid population collected throughout Vietnam. ResultsThe results revealed that 21 jewel orchid accessions studied were segregated into four different species with significant variations. The discrimination power of matK and rbcL markers in this jewel orchid study displayed different efficiency level. The rbcL gene has higher distinguishing potential than either matK gene alone or the combination of both genes. ConclusionThe findings of this project could provide valuable information that is necessary for classification, plant origin identification, breeding, and conservation program of jewel orchid in Vietnam.

Effects of Environmental Clutter on Synthesized Chiropteran Echolocation Signals in an Anechoic Chamber

Ultrasonic bat detectors are useful for research and monitoring purposes to assess occupancy and relative activity of bat communities. Environmental “clutter” such as tree boles and foliage can affect the recording quality and identification of bat echolocation calls collected using ultrasonic detectors. It can also affect the transmission of calls and recognition by bats when using acoustic lure devices to attract bats to mist-nets. Bat detectors are often placed in forests, yet automatic identification programs are trained on call libraries using echolocation passes recorded largely from open spaces. Research indicates that using clutter-recorded calls can increase classification accuracy for some bat species and decrease accuracy for others, but a detailed understanding of how clutter impacts the recording and identification of echolocation calls remains elusive. To clarify this, we experimentally investigated how two measures of clutter (i.e., total basal area and number of stems of simulated woody growth, as well as recording angle) affected the recording and classification of a synthesized echolocation signal under controlled conditions in an anechoic chamber. Recording angle (i.e., receiver position relative to emitter) significantly influenced the probability of correct classification and differed significantly for many of the call parameters measured. The probability of recording echo pulses was also a function of clutter but only for the detector angle at 0° from the emitter that could receive deflected pulses. Overall, the two clutter metrics were overshadowed by proximity and angle of the receiver to the sound source but some deviations from the synthesized call in terms of maximum, minimum, and mean frequency parameters were observed. Results from our work may aid efforts to better understand underlying environmental conditions that produce false-positive and -negative identifications for bat species of interest and how this could be used to adjust survey accuracy estimates. Our results also help pave the way for future research into the development of acoustic lure technology by exploring the effects of environmental clutter on ultrasound transmission.

Impact of Orphaned and Vulnerable Children’s (OVC) Intervention Programs on their Holistic Wellbeing in Kenya.

This paper examines the impact of OVC intervention programs on the holistic wellbeing of children in Residential children homes in Kajiado West sub-county. The question however is, how effective are the programs conducted in these homes to the wellbeing of the children? A mixed-methods research design was adopted for the study using both qualitative and quantitative data. Targeting one residential home in the sub-county that comprised children between the age of 12 to 25 years, a sample of 20 children was purposively selected from eighth grade, high school and tertiary institution going children as they were at a stage where they could provide relevant information given the length of their stay at the residential home. Data was then collected using self-administered questionnaires and an interview guide, which was further analysed descriptively, drawing findings, conclusions, and recommendations. The study evaluated the overall wellbeing of the children in various aspects, including their education, shelter, food and nutrition, economic status, protection, mental health and family with food and nutrition, shelter and spirituality having a higher impact at an average mean of 2.76, 2.73 and 2.73 respectively. Among the programs evaluated, mission visitors played a significant role in influencing children’s holistic wellbeing depicting a mean of 2.73 followed by talent identification programs at 2.50, Computer Programs at 2.40, Music lessons at 2.11 and Foreign Language at 2.00.

Talent Identification in Youth Soccer: Prognosis of U17 Soccer Performance on the Basis of General Athleticism and Talent Promotion Interventions in Second-Grade Children.

Several talent identification programs in elementary school have implemented motor diagnostics to introduce children to groups of sports, like game sports, or even to particular sports like soccer. However, as in most other sports, in youth soccer, the predictive value of such early testing is still unclear. This prospective study evaluated the midterm prognostic validity of generic motor performance tests. The sample consisted of male second-grade children, which had received a recommendation to participate in soccer. The talent screening campaign was a basic check comprising two anthropometric parameters, five physical fitness, and three motor competence diagnostics of the German Motor Test 6–18. The test data were collected from the participating elementary school classes of the years 2010 to 2014. The soccer competition performance of those children having completed the age of at least 15 years (n = 502) up to the end of the season 2019/2020 (2020, September 30) was recorded. This group of U17 players was then assigned individually to five different competition levels. The prognostic validity of the physical and physiological tests was determined using ANOVAs, odds ratios, and a regression path analysis. All diagnostic methods exhibited medium-to-high prognostic validity over the 8 year time span from the talent screening to the later soccer competitions in the adolescent age groups. For later success in soccer on the province level, the 6-min run (OR = 4.28), dynamic balance (OR = 4.04), and 20-m sprint (OR = 2.46), as well as the participation in the training center of the German Soccer Federation (OR = 5.67) and the diversity of club sport activities (OR = 3.56), were of particular importance.

Identification and validation of expressed HLA-binding breast cancer neoepitopes for potential use in individualized cancer therapy

BackgroundTherapeutic regimens designed to augment the immunological response of a patient with breast cancer (BC) to tumor tissue are critically informed by tumor mutational burden and the antigenicity of expressed...

PSYCHOLOGICAL AND PEDAGOGICAL ASPECT OF PROFESSIONAL WORK IN EDUCATIONAL INSTITUTIONS

The article focuses on the problem of career guidance work with students; the place and role of psychological diagnostics in vocational counseling are determined; psychological and pedagogical features of conducting vocational work with students are considered; the list of psychodiagnostic methods for work with students is presented, the programs of identification and development of personal and professional resources of students are offered; the basic professional and ethical principles of career guidance work are highlighted.

Activity results of the GATTO study, a phase Ib study combining the anti-TA-MUC1 antibody gatipotuzumab with the anti-EGFR tomuzotuximab or panitumumab in patients with refractory solid tumors.

2522 Background: The phase I GATTO study explored the feasibility, tolerability and preliminary activity of combining Gatipotuzumab (GAT), a novel humanized monoclonal antibody binding to the tumor-associated epitope of mucin-1 (TA-MUC1), and an anti-EGFR antibody. Preclinical evidence suggests a complex interaction between TA-MUC1 and EGFR on the cell surface of epithelial tumors and synergistic antibody dependent cell cytotoxicity activity with the double targeting. Methods: Initially 20 patients with refractory metastatic disease were treated with GAT administered at 1400 mg Q2W in combination with the glyco-optimized anti-EGFR antibody Tomuzotuximab (TOM) at 1200 mg Q2W. Due to the risk of infusion related reactions, three cycles of TOM were given before start of combined treatment with GAT. After this regimen was proven safe and no DLT was observed, 30 additional patients including colorectal cancer (CRC) already treated with anti-EGFR antibodies, non-small cell lung cancer (NSCLC), head and neck and breast cancers received TOM and GAT administered at the same doses, with GAT treatment starting already one week after the first dose of the anti-EGFR antibody. As allowed in the study expansion, Panitumumab (PAN) was used in place of TOM in 9 CRC patients at investigator’s choice. Results: By the time of the final analysis in January 2021, 52 patients were enrolled, and 50 received at least one dose of both GAT and anti-EGFR antibodies. Safety was overall good and results are reported in a separate abstract. Because of the difference in treatment schedule, activity results of the two parts of the study are summarized separately. There were 2 and 4 RECIST partial responses in the first and second part of the study, all in CRC patients. In the expansion phase, the median Progression Free Survival (PFS) of CRC patients who received TOM (10) and PAN (9) was 1.9 and 5.5 months, respectively. There were 2 responses in each subgroup and the duration of response was 3.8 and 7.2 months in patients receiving TOM and PAN, respectively. The PFS for NSCLC was 5.3 months and 2 heavily pretreated patients achieved a prolonged control of disease of 10.6 and 9.4 months. The trial was accompanied by a comprehensive translational research program for identification of biomarkers, including soluble TA-MUC1 in serum. In the extension phase patients with baseline values above median appeared to have improved PFS and overall survival; this was not the case for patients of the first part of the study who received GAT only after 3 doses of TOM. Conclusions: Combination of TA-MUC1 and EGFR targeting antibody is safe and feasible. Interesting anti-tumor activity was observed in heavily pretreated CRC and NSCLC patients. Levels of soluble TA-MUC1 may have predictive value and potentially be a companion biomarker for further development of the combination Clinical trial information: NCT03360734.

Modeling the consequences of gas leakage and explosion fire in liquefied petroleum gas storage tank in Istanbul technical university, Maslak campus

AbstractOne of the substances with high potential to cause damage that is used widely in chemical plants is liquefied petroleum gas (LPG). The aim of the present study is to model the consequences of leakage from a storage tank containing LPG using different scenarios. ALOHA software was used as one of the best modeling programs for identification of emergency responses required at the time of the gas leakage based on modeling results. According to ALOHA program modeling results, the area called TEEL‐3 was located within a distance of 187 m from the tank, and the threat to people in this area was determined. In case of LPG leakage from the storage tank, the concentration of LPG was about 2100 ppm which is equal to the lower explosive limit at the distance of 187 m. The consequences of combustion and explosion of LPG gas at a distance of 65 m from the storage tank were the most serious danger that threatens humans. This paper has an important role in modeling the harmful effects of the release of LPG and hazardous substances in different scenarios.

Supporting Arguments or Subtle Exclusion? Illegalizing Frames in Government Meetings Discussing a County ID in the U.S. Midwest

In 2017, Kalamazoo County passed a county‐based identification program to provide residents a more accessible form of documentation than the State of Michigan ID. Given the normalization of identification cards in contemporary society, the inability to furnish ID can exclude individuals from myriad services. In this article, we analyze transcripts of politicians and residents at county meetings leading up to the passing of the ID policy. This policy was widely supported by attendees. However, many utilized arguments that, while in favor of it, reproduced illegalizing logics. We track the use of four illegalizing frames and argue that while attempting to rationalize the undocumented population as having value, the majority of speakers in favor of the ID articulated opinions that positioned migrants outside the parameters of belonging and reinforced citizen/non‐citizen binaries. This article contributes to sociological understanding of the construction of migrant deservingness and the limits of supporting arguments.

IMPURITY PROFILING OF FIRST LINE ANTI-TB DRUG-TERIZIDONE USING CHROMATOGRAPHIC AND RELATED TECHNIQUES

Objective: The objective of the present study was to investigate the stability of TRZ against different stressors and to prepare impurity profile for potential impurities and degradation products (DPs) formed under stress degradation of TRZ bulk drug and formulation.&#x0D; Methods: Three analytical methods were developed; the stability-indicating method that was developed using HPLC instrument with 0.01M ammonium acetate buffer (pH 4.0 using glacial acetic acid (GAA)) and acetonitrile in gradient program. The second method was a UPLC/ESI-MS method using 0.1 % Formic acid in Milli Q water (pH= 2.70) and 0.1%Formic acid in Milli Q water: Acetonitrile (10:90) in gradient program for identification of TRZ and DPs while the third, preparative HPLC method was used for isolation of impurities using (A) 0.05% ammonia (NH3) in water and (B) Acetonitrile+20% mobile phase A in gradient sequence. Gradient sequences are described in the main text.&#x0D; Results: The analytical method for stability study was developed and validated using ICH (Q2) R1 guidelines. The result of stability study by stress degradation showed that TRZ was susceptible to degradation in acid (7 DPs), alkaline, neutral (9 DPs) and oxidative conditions (10 DPs); major DPs were identified (where it was possible) and the chemical structure was elucidated by combining the data of ESI/MS, NMR and/or Tandem MS. The Impurity profiling was completed by reporting all the DPs, either major or minor for TRZ bulk drug and formulation.&#x0D; Conclusion: The complete Impurity profiling for TRZ is reported for the first time in literature. The study data would be add-on for formulation storage condition and further development.