ACCEPTANCE SINGLE SAMPLING PLAN USING VAGUE PARAMETERS

ABSTRAC

Seroprevalence Study of Human Brucellosis by Conventional Tests and Indigenous Indirect Enzyme-Linked Immunosorbent Assay

Brucellosis is one of the most important reemerging zoonoses in many countries. Brucellosis is caused by Gram-negative coccobacillus belonging to genus Brucella. Human brucellosis often makes the diagnosis difficult. The symptoms and clinical signs most commonly reported are fever, fatigue, malaise, chills, sweats headaches, myalgia, arthralgia, and weight loss. Some cases have been presented with only joint pain, lower backache, and involuntary limb movement, burning feet, or ischemic heart attacks. The focus of this work was to develop a highly sensitive and specific indirect ELISA by using smooth lipopolysaccharide antigen of Brucella abortus 99 to detect anti-Brucella antibodies at Project Directorate on Animal Disease Monitoring and Surveillance. Serum samples collected from 652 individuals in whom fever was not the major symptom but the complaint was of joint pain, headache, lower backache, and so forth, were screened by Rose Bengal plate agglutination test (RBPT) and standard tube agglutination test (STAT). Subsequent testing of sera by indigenous indirect ELISA detected 20 samples positive (3.6% seroprevalence), and indirect ELISA was found to be more sensitive than RBPT and STAT. The seroprevalence in South Karnataka was 2.14%, and in North Karnataka it was 0.92%

MapToGenome: A Comparative Genomic Tool that Aligns Transcript Maps to Sequenced Genomes

Efforts to generate whole genome assemblies and dense genetic maps have provided a wealth of gene positional information for several vertebrate species. Comparing the relative location of orthologous genes among these genomes provides perspective on genome evolution and can aid in translating genetic information between distantly related organisms. However, large-scale comparisons between genetic maps and genome assemblies can prove challenging because genetic markers are commonly derived from transcribed sequences that are incompletely and variably annotated. We developed the program MapToGenome as a tool for comparing transcript maps and genome assemblies. MapToGenome processes sequence alignments between mapped transcripts and whole genome sequence while accounting for the presence of intronic sequences, and assigns orthology based on user-defined parameters. To illustrate the utility of this program, we used MapToGenome to process alignments between vertebrate genetic maps and genome assemblies 1) self/self alignments for maps and assemblies of the rat and zebrafish genome; 2) alignments between vertebrate transcript maps (rat, salamander, zebrafish, and medaka) and the chicken genome; and 3) alignments of the medaka and zebrafish maps to the pufferfish (Tetraodon nigroviridis) genome. Our results show that map-genome alignments can be improved by combining alignments across presumptive intron breaks and ignoring alignments for simple sequence length polymorphism (SSLP) marker sequences. Comparisons between vertebrate maps and genomes reveal broad patterns of conservation among vertebrate genomes and the differential effects of genome rearrangement over time and across lineages

PHYTOCHEMICAL PROFILING, HPTLC FINGERPRINT AND ANTIBACTERIAL, ANTI-FUNGAL, AND ANTIOXIDANT PROPERTIES OF ESSENTIAL OILS EXTRACTED FROM CUMMINUM CYMINUM, ZINGIBER OFFICINALE, TRACHYSPERMUM AMMI, ALIPNIA GALANGA, CEDRUS DEODARA, AND ELETTARIA CARDAMOMUM

Objective: The objective of the study was to carry out the phytochemical profiling of essential oils (EOs) and evaluation of their anti-microbial activity. Methods: The EOs extracted from Cumminum cyminum, Zingiber officinale, Trachyspermum ammi, Alipnia galanga, Cedrus deodara, and Elettaria cardamomum using clavenger apparatus. Phytochemical analysis and high-performance thin layer chromatography (HPTLC) fingerprinting were carried out for the EO. The antibacterial and antifungal activity were evaluated using agar well-diffusion method against two bacterial strains, Escherichia coli, Staphylococcus aureus and two fungal strains, Candida albicans, and Aspergillus brasiliensis. Positive controls ciprofloxacin-30 mg, azithromycin-15 mg, and nystatin NS-50 mg were used. Antioxidant potential of the EOs was investigated by TLC-bioautography method using 1,1-diphenyl-2-picrylhydrazyl derivatization. Results: The phytochemical analysis reveals presence of various phytochemical such as steroids, terpenoids, and phenylpropanoids. The HPTLC fingerprint is found to be unique for each of the oil. The EO of Z. officinale and T. ammi showed strong antibacterial activity against S. aureus. The EOs of C. cyminum, Tachyspermum ommi and A. galanga displayed prominent antioxidant activity on TLC bioautography. The herbs Cuminum cynimun, T. ammi, C. deodara, and Ellateria cardamomum produce reasonable amount of essentials oil, which can be explored for useful their industrial applications. Conclusions: These EOs can be explored further for their antimicrobial activity. The HPTLC analysis along with derivatization with suitable chromogenic reagents can be a rapid and simple tool for quality control of various EOs

Evaluation of different custom angulated elastic glass fibre post on fracture resistance of maxillary central incisor: an in vitro study.

Background: Restoring Endodontically treated teeth (ETT) can be challenging for most dentists, particularly when a significant tooth structure is lost. Depending on the coronal tooth structure remaining and the technique used (direct or indirect), endodontic anchorage can involve either a cast post and core or a prefabricated post. Aim: This study aimed to investigate the effect of different custom angulated, i.e.,0°,5°,10°,15° elastic glass fibre post (Everstick post) on fracture resistance of maxillary central incisors. Materials and methods:  A total of forty-eight single-rooted maxillary central incisors were selected. All the samples were decoronated 2mm above the CEJ and endodontically treated. Post-space preparation was done for all the samples using peesoreamers ranging in size from 1-3.  The samples were then randomly divided into four groups (n=12) based on the different angulations, i.e., the angle between the core and the long axis of the root, with 0°, 5°, 10°, and 15° angulations, respectively. The fit of each post in the root canal was verified. Before cementation, the coronal part of each post was bent according to their respective groups. Dual-cure resin cement was used for luting the posts and cured subsequently. The fracture resistance of all the samples was evaluated using the universal testing machine after they were mounted in self-cure acrylic resin blocks. The data were analysed using One- way ANOVA and Tukey’s post-hoc test. Results: Group I exhibited the highest mean fracture resistance compared to other groups. However, One-way ANOVA showed no significant differences (p=0.161) between the four groups. Conclusion: Everstick fibre posts are a preferable alternative for maxillary central incisors with core angulations up to 15° between coronal and radicular segments as they provide better fracture resistance with a more favourable stress distribution

A quick and selective rhodamine based “smart probe” for “signal-on” optical detection of Cu²⁺ and Al³⁺ in water, cell imaging, computational studies and solid state analysis

A novel rhodamine hydrazone 1 has been synthesized by the condensation of rhodamine B hydrazide with allylsalicylaldehyde and has been fully characterized using various physicochemical techniques including single crystal XRD. Probe 1 can detect Cu2+ and Al3+ ions in aqueous media and displays a turn-on response in absorbance with a high degree of selectivity amongst other common interfering analytes. Al3+ ions lead to fluorescence enhancementby the opening of the spirolactum ring resulting in chelation enhanced fluorescence. DFT and TDDFT calculations support the experimental results. The 1-Al3+ ensemble acts as secondary sensor for pyrophosphate anion due to metal ion induced decomplexation resulting in a low detection limit. Probe 1 can be utilized for bio imaging and displays morphological transformations from crystalline to amorphous state with associated color changes due to mechanical switching. In the solid state, probe 1 displays distinct color changes with emission at different wavelengths in particular Al3+ and Hg2+result in a red shift of the CIE-diagram. While the band gap of probe 1can be tuned from 2.08 eV to 1.60 eV.Probe 1 meets many real-world-challenges in that it is prepared using simple synthetic methods, produces fast and distinct response towards multiple-ions, observed by the “naked eye” in solution and on a TLC plate, and can be exploited for binary data storage

2,4,6,8-Tetra­kis(4-bromo­phen­yl)-3,7-diaza­bicyclo­[3.3.1]nonan-9-one

In the title compound, C31H24Br4N2O, one of the bromo­phenyl rings is disordered over two orientations with occupancies of 0.69 (2) and 0.31 (2). The bicyclo­[3.3.1]nonane ring system adopts a chair–boat conformation. In the crystal structure, mol­ecules are linked into chains along the c axis by inter­molecular C—H⋯O and N—H⋯O hydrogen bonds. Further stabilization is provided by C—H⋯π inter­actions

Women’s experiences of receiving care for pelvic organ prolapse: a qualitative study

Background Pelvic organ prolapse is a common urogenital condition affecting 41–50% of women over the age of 40. To achieve early diagnosis and appropriate treatment, it is important that care is sensitive to and meets women’s needs, throughout their patient journey. This study explored women’s experiences of seeking diagnosis and treatment for prolapse and their needs and priorities for improving person-centred care. Methods Twenty-two women receiving prolapse care through urogynaecology services across three purposefully selected NHS UK sites took part in three focus groups and four telephone interviews. A topic guide facilitated discussions about women’s experiences of prolapse, diagnosis, treatment, follow-up, interactions with healthcare professionals, overall service delivery, and ideals for future services to meet their needs. Data were analysed thematically. Results Three themes emerged relating to women’s experiences of a) Evaluating what is normal b) Hobson’s choice of treatment decisions, and c) The trial and error of treatment and technique. Women often delayed seeking help for their symptoms due to lack of awareness, embarrassment and stigma. When presented to GPs, their symptoms were often dismissed and unaddressed until they became more severe. Women reported receiving little or no choice in treatment decisions. Choices were often influenced by health professionals’ preferences which were subtly reflected through the framing of the offer. Women’s embodied knowledge of their condition and treatment was largely unheeded, resulting in decisions that were inconsistent with women’s preferences and needs. Physiotherapy based interventions were reported as helping women regain control over their symptoms and life. A need for greater awareness of prolapse and physiotherapy interventions among women, GPs and consultants was identified alongside greater focus on prevention, early diagnosis and regular follow-up. Greater choice and involvement in treatment decision making was desired. Conclusions As prolapse treatment options expand to include more conservative choices, greater awareness and education is needed among women and professionals about these as a first line treatment and preventive measure, alongside a multi-professional team approach to treatment decision making. Women presenting with prolapse symptoms need to be listened to by the health care team, offered better information about treatment choices, and supported to make a decision that is right for them

Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT

Automatic methods for feature extraction, volumetry, and morphometric analysis in clinical neuroscience typically operate on images obtained with magnetic resonance (MR) imaging equipment. Although CT scans are less expensive to acquire and more widely available than MR scans, their application is currently limited to the visual assessment of brain integrity and the exclusion of co-pathologies. CT has rarely been used for tissue classification because the contrast between grey matter and white matter was considered insufficient. In this study, we propose an automatic method for segmenting grey matter (GM), white matter (WM), cerebrospinal fluid (CSF), and intracranial volume (ICV) from head CT images. A U-Net deep learning model was trained and validated on CT images with MRI-derived segmentation labels. We used data from 744 participants of the Gothenburg H70 Birth Cohort Studies for whom CT and T1-weighted MR images had been acquired on the same day. Our proposed model predicted brain tissue classes accurately from unseen CT images (Dice coefficients of 0.79, 0.82, 0.75, 0.93 and 0.98 for GM, WM, CSF, brain volume and ICV, respectively). To contextualize these results, we generated benchmarks based on established MR-based methods and intentional image degradation. Our findings demonstrate that CT-derived segmentations can be used to delineate and quantify brain tissues, opening new possibilities for the use of CT in clinical practice and research