14 research outputs found
The Effect of Antidepressants on the Activity of the Autonomic Nervous System: Meta-analysis and Systematic Review
No full textThis is a protocol for a systematic review and meta-analysis aiming to examine the available evidence regarding the effect of SSRIs and other classes of antidepressants relative to placebo or absence of antidepressants on ANS activity. We also aim to examine the contribution of sex, age, race/ethnicity, study location, psychiatric diagnosis, presence of other general medical illness, treatment duration, and stress vs. non-stress conditions on the heterogeneity between studies
The Effect of Iron Supplementation on Psychiatric and Cognitive Outcomes in non-Anemic Children and Adolescents and Menstruating Adults: A Meta-Analysis and Systematic Review
No full textThe Effect of Antidepressants on the Activity of the Autonomic Nervous System: Meta-analysis and Systematic Review
No full textThis is a protocol for a systematic review and meta-analysis aiming to examine the available evidence regarding the effect of SSRIs and other classes of antidepressants relative to placebo or absence of antidepressants on ANS activity. We also aim to examine the contribution of sex, age, race/ethnicity, study location, psychiatric diagnosis, presence of other general medical illness, treatment duration, and stress vs. non-stress conditions on the heterogeneity between studies
The Effect of Antidepressants on the Activity of the Autonomic Nervous System: Meta-analysis and Systematic Review
No full textThis is a protocol for a systematic review and meta-analysis aiming to examine the available evidence regarding the effect of SSRIs and other classes of antidepressants relative to placebo or absence of antidepressants on ANS activity. We also aim to examine the contribution of sex, age, race/ethnicity, study location, psychiatric diagnosis, presence of other general medical illness, treatment duration, and stress vs. non-stress conditions on the heterogeneity between studies
The Effect of Iron Supplementation on Psychiatric and Cognitive Outcomes in non-Anemic Children and Adolescents and Menstruating Adults: A Meta-Analysis and Systematic Review
No full textANALISIS SISTEM AKUNTANSI PENJUALAN KREDIT PADA PT KEBAYORAN PHARMA CABANG PALEMBANG
No full textThe purpose of this final report is to know how the application of good credit sales accounting system of procedures, organizational structure, documents and records used by the company, and to know how the application of the system of internal control over credit sales at PT Kebayoran Pharma Branch Palembang. PT Kebayoran Pharma Palembang Branch is a company that sells medicines and health equipment, where sales transactions that often occurs is a credit sales transaction. In compiling this final report, the author uses primary data is the result of interviews with employees of the company and secondary data in the form of a general overview of the company. Based on the data the author get, the authors found irregularities that occur in the process of credit sales due to credit sales accounting system of the company has not been implemented properly. Therefore, the authors provide an alternative sales accounting system based on the theory of good credit, which includes functions related, related documents, and related notes, and describes the flow chart corresponding documents provide alternative writer
Machine Learning for Crack Segmentation from Photogrammetric Imagery
No full text2021 - 2022The aim of the study proposed in this thesis was to analyse and implement data pro-
cessing procedures and algorithms to try to overcome the criticalities present in the
traditional identification and segmentation of cracks on road pavements and buildings.
For this purpose, algorithms were implemented in Python in order to optimise, on
the one hand, the point cloud and products from the photogrammetric process and,
on the other hand, the crack segmentation methodology, which is currently the most
accurate in the literature.
Point clouds produced by photogrammetric software are not directly usable, as they
must first be processed to remove outliers and noise. The first phase of the thesis pre-
sents an innovative approach that can assist survey methods by applying an AI algo-
rithm to improve the accuracy of point clouds generated from UAV images.
Many studies on the semantic segmentation of cracks using Machine Learning and
Deep Learning techniques can be found in the relevant literature. However, this task is
very challenging due to the complexity of the background, as cracks are easily confused
with objects not belonging to the surface, shadows, and background textures and are
also inhomogeneous.
The results obtained to date are quite good, but often the accuracy of the trained
model and the results achieved are evaluated using traditional metrics only. In most
cases, the goal is merely to detect the occurrence of cracks. Particular attention should
be paid to the thickness of the segmented crack, as the width of the crack is the main
parameter for maintenance and characterizes the severity levels. The aim of our study
is to optimize the crack segmentation process through the implementation of a modi-
fied U-Net model-based architecture. U-Net is a network with two symmetrical
branches (encoder-decoder structure). The encoder is replaced with a ResNet50 en-
coder pre-trained on the ImageNet dataset. Our focus was on crack segmentation, and
for this purpose, we used the Crack500 Dataset and compared the results with those
obtained from the algorithm currently considered the most accurate and performant
in the literature.
To demonstrate the generalization of the model, two real case studies were tested
by performing a UAV survey to obtain the photogrammetric models of both.
The results are promising and accurate, with the shape and width of the segmented
cracks closely resembling reality. [edited by Author]XXXV cicl
Iron Deficiency and Internalizing Symptoms Among Adolescents in the National Health and Nutrition Examination Survey
No full textBackground: Iron Deficiency (ID) affects two billion people worldwide, predominantly adolescent girls, and may be associated with increased psychopathology. The associations between ID and symptoms of depression and anxiety in adolescents were examined using data from the National Health and Nutrition Examination Survey (NHANES), a cross-sectional survey of a nationally representative sample of non-institutionalized Americans. Methods: The current analysis included survey cycles where both iron-related markers and mental health-related outcomes were collected in adolescents 12 to 17 years old. Acute and serious medical conditions, acute inflammation, and abnormal birth weight led to exclusion. Linear multivariable regression analyses examined the association between ID status (defined based on the total body iron model) and (1) total Patient Health Questionnaire (PHQ-9) score, (2) one item examining anxiety severity, and (3) one item examining overall mental well-being. Covariates included age, sex, race and ethnicity, body mass index, household income, head-of-household marital status, and psychotropic medication use. Sensitivity analyses examined the robustness of the findings when ID was defined based on the ferritin model. Results: In 1990 adolescents (age [mean ± SD]: 14.5 ± 1.7 years; 85.7% females), ID with and without anemia was significantly associated with a higher PHQ-9 score in multiracial adolescents (Cohen’s d = 1.09, p = 0.0005 for ID without anemia; d = 0.92, p = 0.0395 for ID with anemia). Moreover, ID with anemia was associated with more severe anxiety (d = 3.00, p = 0.0130) and worse mental well-being (d = 2.75, p = 0.0059) in multiracial adolescents. The findings remained significant after adjusting for psychotropic use and in the sensitivity analyses. Conclusions: Iron deficiency is associated with poorer mental health in adolescents of multiracial background. Future studies should confirm these findings prospectively and examine the underlying mechanism
Vehículos aéreos no tripulados para el levantamiento y monitoreo de áreas arqueológicas
No full text2016 - 2017The research focused on the analysis of the deviation that an aerofotogrammetric survey can produce with respect to the classic topographic surveys, by total station, GPS (Global Positioning System) or TLS (Terrestrial Laser Scanner), instruments with significantly higher sensitivity than the airborne system, and therefore affected by minor uncertainties. In the various applications, using topographic measurements from different systems and using the so-called GCP (Ground Control Point), the metric deviations between the geo-referenced photogrammetric model and the topographic support were calculated, evaluating the system’s metric potential in different configurations.
Moreover, by a script, the reprojection errors were measured for each point of the cloud generated by the entire photogrammetric process; from statistical analysis of the reprojection error in the various case studies, the modalities for which the aerofotogrammetric survey has the smallest deviations have been evaluated.
The elaborated case studies come essentially within the archaeological field, in which, in close contact with the various Sovraintendenze, the possible elaborations to be returned for an initial computerization of the survey were analyzed. The set of works produced and delivered to the various Sovraintendenze, represents the starting point for the conservation and preservation of the archaeological heritage, from which to obtain information for different areas of interest (degradation assessment, calculation of subsidence and / or deformations, etc…). The comparison with the classical topography is necessary for a metric comparison of the 3D model, from which all the elaborates will be derived (orthophotos, sections, level curves, etc.)... [edited by Author]XXX cicl
The proteasome cap RPT5/Rpt5p subunit prevents aggregation of unfolded ricin A chain
No full textThe plant cytotoxin ricin enters mammalian cells by receptor-mediated endocytosis, undergoing retrograde transport to the endoplasmic reticulum (ER) where its catalytic A chain (RTA) is reductively separated from the holotoxin to enter the cytosol and inactivate ribosomes. The currently accepted model is that the bulk of ER-dislocated RTA is degraded by proteasomes. We show here that the proteasome has a more complex role in ricin intoxication than previously recognised, that the previously reported increase in sensitivity of mammalian cells to ricin in the presence of proteasome inhibitors simply reflects toxicity of the inhibitors themselves, and that RTA is a very poor substrate for proteasomal degradation. Denatured RTA and casein compete for a binding site on the regulatory particle of the 26S proteasome, but their fates differ. Casein is degraded, but the mammalian 26S proteasome AAA-ATPase subunit RPT5 acts as a chaperone that prevents aggregation of denatured RTA and stimulates recovery of catalytic RTA activity in vitro. Furthermore, in vivo, the ATPase activity of Rpt5p is required for maximal toxicity of RTA dislocated from the Saccharomyces cerevisiae ER. Our results implicate RPT5/Rpt5p in the triage of substrates in which either activation (folding) or inactivation (degradation) pathways may be initiated
