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Determınatıon Of Trace Element In Boron Mınerals
Bu çalışmada, Türkiye’de en bol bulunan bazı bor minerallerinde (kolemanit, tinkal ve üleksit) ve bor atıklarında eser elementlerin tayini yapılmıştır. Bor minerallerinin çözülmesi için uygun çözücü belirlenmiştir. Numune çözeltilerinde Pb ve Cd elektrotermal atomik absorpsiyon spektrometresi kullanılarak; Cu, Fe, Ni, Co ve Zn de alevli atomik absorpsiyon spektrometresi kullanılarak tayin edilmiştir. Standart referans maddeler (NIST Montana soil 2711 ve NIST Estuarine 1614a) analiz edilerek ve katkılı numune analizi yapılarak doğruluk kontrol edilmiştir. Kadmiyum ve kurşun tayinlerinde ortam düzenleyici olarak tek başına paladyum (Pd) ve nikel (Ni) + Pd karışımı denenmiştir. Ortam düzenleyiciler varlığında veya yokluğunda, numunelerde Cd ve Pb tayinleri için sıcaklık programları optimize edilmiştir. Cd ve Pb için Pd+Ni ortam düzenleyicinin daha uygun olduğu belirlenmiştir. Kadmiyumun kül etme sıcaklığı Pd varlığında 250 oC’dan 500 oC’a artmış, Pd+Ni karışımı varlığında 600 oC bulunmuştur. Kurşunun kül etme sıcaklığı da Pd+Ni karışımı varlığında 600 oC’dan 1100 oC’a yükselmiştir. Optimize edilen koşullarda Cd ve Pb tayinleri gerçekleştirilmiştir ve gözlenebilme sınırı (LOD) ve tayin sınırı (LOQ) tayin edilmiştirIn this study, determination of trace elements was perfomed in the most abundant boron minerals exist in Turkey (colemanite, tinkal and ulexite) and boron waste. The suitable solvent was determined for the dissolution of boron minerals. Pb and Cd were determined by using electrothermal atomic absorption spectrometer and Cu, Fe, Ni, Co and Zn were determined by using flame atomic absorption spectrometer. Accuracy was checked by analyzing the standard reference materials (NIST Montana soil 2711 and NIST Estuarine 1614a) and spiked sample analysis. In the determination of cadmium and lead, palladium (Pd) alone and nickel (Ni) + Pd mixture were tested as the matrix modifier. Temperature programs for Cd and Pb determinations in samples have been optimized in the presence or absence of matrix modifier. Pd + Ni was found to be more suitable for Pb, while Pd matrix modifier was more suitable for Cd. The ashing temperature of Cd increased from 250 oC to 500 oC in the presence of Pd and 600 oC in the presence of Pd + Ni mixture. The ashing temperature of lead increased from 600 oC to 1100 oC in the presence of Pd + Ni mixture. Cd and Pb determinations were performed under optimized conditions. The limits of detection (LOD) and the limits of quantification (LOQ) were determine
Comparison of the efficiency of transgelin, smooth muscle myosin, and CD31 antibodies for the assessment of vascular tumor invasion and free tumor deposits in gastric, pancreatic, and colorectal adenocarcinomas
Background: This study aimed to compare CD31, smooth muscle myosin
(SMM), and transgelin antibodies for their efficiency in detecting
venous invasion (VI) and the nature of free tumor deposits (TDs) in
gastric, pancreatic, and colorectal adenocarcinomas. Materials and
Methods: Eleven Whipple, 5 gastrectomy, and 3 colectomy specimens and 1
low anterior resection specimen were reviewed and examined, revealing
254 probable foci. Foci were reviewed and divided into 3 types: Type A,
the ``orphan artery{''} pattern; Type F, free TDs in the periorgan
adipose and connective tissue without an unaccompanied artery; and Type
X, a focus that could be detected only with the immunohistochemical
procedures mentioned. Results: No foci were positive for CD31.
Transgelin staining was more sensitive than SMM staining in all focus
types, Type A only and Type F only (P < 0.001, P = 0.001, and P = 0.10,
respectively). In free TDs (Type F), 35.7\% of the samples were negative
for all four stains, and 64.2\% of the samples were positive for SMM and
transgelin. We did not make the distinction between a metastatic lymph
node and VI in positive foci. Conclusion: We conclude that hematoxylin
and eosin (H and E) staining is inadequate and that smooth muscle
markers, such as transgelin and/or SMM, are more effective than
endothelial markers, such as CD31, in revealing VI and lymph node/large
extramural invasion
Association of Serum Ferritin Levels Before Start of Conditioning With Mortality After alloSCT – A Prospective, Non-interventional Study of the EBMT Transplant Complications Working Party
Granular cell tumor seen in buccal sulcus: A case report [Bukkal Sulkusta Görülen Granüler Hücreli Tümör: Olgu Sunumu]
Effect of serum albumin/globulin ratio in combination with MASCC and CISNE risk score on febrile neutropenia mortality
Super Resolution of B-Mode Ultrasound Images With Deep Learning
Ultrasound offers a safe, non-invasive, and inexpensive way of imaging.
However, due to its natural intrinsic imaging characteristics, it
produces poor quality images with low resolution (LR) compared to other
medical imaging modalities. Various image enhancement techniques have
been extensively studied to overcome these shortcomings.
Super-resolution (SR) is one of these methods, which endeavor to obtain
high resolution (HR) images from LR images while enlarging them.
Numerous studies have already utilized different SR techniques in
various stages of ultrasound imaging (USI). Unlike other studies, which
aimed at obtaining SR in the pre-processing phase or early stages of the
post-processing phase of USI, we achieved SR on B-mode ultrasound
images, which is the last stage of USI. We constructed a deep
convolutional neural network (CNN) and trained it with a very large
dataset of B-mode ultrasound images for the scale factors 2, 3, 4, and
8. We evaluated the performance of our proposed model quantitatively
with eight image quality measures. The quantitative results revealed
that our algorithm is much more successful than other methods at each
magnification factor. Furthermore, we also verified that there is a
statistically significant difference between our approach and others.
Besides, qualitative analysis of the reconstructed images also confirms
that it produces much better quality HR images than other methods in
terms of the human visual system
Intervention Protocol: Technology-Based Psychosocial Motivation for Children with Cancer and Their Parents: A Randomized Trial
Objective: This experimental randomized controlled trial will be to
examine the impact of a technology-based psychosocial motivation program
on children and families who are being followed up on a diagnosis of
cancer. Methods: The research is based on the ``Transactional Model of
Stress and Coping.{''} This study will be conducted on children with
leukemia, aged 9-18 years, and their parents, who will be followed in
the consolidation treatment phase in the hematology wards and outpatient
clinic of a university hospital. Data collection will consist of the
children's and parents' descriptive characteristic form, the Spielberger
State Anxiety Inventory for Parents, the State-Trait Anxiety Inventory
for Children, the Pediatric Cancer Coping Scale, the Pediatric Quality
of Life Inventory, and process evaluation forms. A 10-week program will
be implemented for the children in the intervention group through
web-based training, coaching interviews and counseling via video mobile
calls, mobile messages and children's stories, progressive muscle
relaxation and breathing exercises, and imagination interventions.
During the same period, parents will also receive web-based training,
coaching sessions, counseling, mobile messages, and progressive muscle
relaxation exercises. Results: It is thought that after the intervention
the stress level of the child and the family will decrease, the coping
skills of the children will improve, and their quality of life will
increase. Conclusions: It is thought that the treatment process can be
affected positively by providing psychosocial support to children and
their families who receive cancer treatment