An ERP Application In A Non-Profit Organization: Turkish Red Crescent Society

Although we are more familiar to use of ERP systems in manufacturing sector, in recent years, they have wide application areas in service sector. This is because of that ERP systems facilitate communication, management, and monitoring of enterprises. In non-profit organizations, which have a special situation in service sector, there are some special needs besides the standard structure. In this study, the implementations of ERP systems in service sector, especially in non-profit organizations are examined. The proposed organization is Turkish Red Crescent Society. Firstly, the Red Crescent Society’s activities and processes have been analyzed. The ERP project stages are described. In addition to the standard ERP modules, especially the modules concerning with the Red Crescent such as Disaster Preparedness and Response, Blood Services, Youth and Volunteer services, Cash and in-kind relief Services and their structures, operations and integrations with other modules are described. At the end of the study, some suggestions are offered to reach the ideal solution

A Fuzzy Topsis Approach For Logistics Center Location Selection

It is clearly known that urban freight transportation has a significant role on sustainable development of urban areas. The persistent growth of the costs of freight transportation and as a result of congestion, environmental pollution and increasing inefficient usage of land in urban areas are forcing users and public authorities to develop alternative logistic solutions to relieve the freight traffic problem. Establishing logistics centers is one of these alternative solutions. Logistics centers are specific centers that various logistic based activities like distribution, storage, transportation, consolidation, handling, customs clearance, imports, exports, transit processes, infrastructural services, insurance, banking and similar commercial activities are performed. These centers are defined for national and international all logistic and related operations. Logistic centers must be settled near production and commercial centers, highways, railways, airports and if possible seaports. In this study we proposed a fuzzy TOPSIS approach to a logistics center location selection problem in eastern anatolia region of Turkey

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Due to the necessity for precise treatment planning, the use of panoramic X-rays to identify different dental diseases has tremendously increased. Although numerous ML models have been developed for the interpretation of panoramic X-rays, there has not been an end-to-end model developed that can identify problematic teeth with dental enumeration and associated diagnoses at the same time. To develop such a model, we structure the three distinct types of annotated data hierarchically following the FDI system, the first labeled with only quadrant, the second labeled with quadrant-enumeration, and the third fully labeled with quadrant-enumeration-diagnosis. To learn from all three hierarchies jointly, we introduce a novel diffusion-based hierarchical multi-label object detection framework by adapting a diffusion-based method that formulates object detection as a denoising diffusion process from noisy boxes to object boxes. Specifically, to take advantage of the hierarchically annotated data, our method utilizes a novel noisy box manipulation technique by adapting the denoising process in the diffusion network with the inference from the previously trained model in hierarchical order. We also utilize a multi-label object detection method to learn efficiently from partial annotations and to give all the needed information about each abnormal tooth for treatment planning. Experimental results show that our method significantly outperforms state-of-the-art object detection methods, including RetinaNet, Faster R-CNN, DETR, and DiffusionDet for the analysis of panoramic X-rays, demonstrating the great potential of our method for hierarchically and partially annotated datasets. The code and the data are available at: https://github.com/ibrahimethemhamamci/HierarchicalDet.Comment: MICCAI 202

DENTEX: An Abnormal Tooth Detection with Dental Enumeration and Diagnosis Benchmark for Panoramic X-rays

Panoramic X-rays are frequently used in dentistry for treatment planning, but their interpretation can be both time-consuming and prone to error. Artificial intelligence (AI) has the potential to aid in the analysis of these X-rays, thereby improving the accuracy of dental diagnoses and treatment plans. Nevertheless, designing automated algorithms for this purpose poses significant challenges, mainly due to the scarcity of annotated data and variations in anatomical structure. To address these issues, the Dental Enumeration and Diagnosis on Panoramic X-rays Challenge (DENTEX) has been organized in association with the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) in 2023. This challenge aims to promote the development of algorithms for multi-label detection of abnormal teeth, using three types of hierarchically annotated data: partially annotated quadrant data, partially annotated quadrant-enumeration data, and fully annotated quadrant-enumeration-diagnosis data, inclusive of four different diagnoses. In this paper, we present the results of evaluating participant algorithms on the fully annotated data, additionally investigating performance variation for quadrant, enumeration, and diagnosis labels in the detection of abnormal teeth. The provision of this annotated dataset, alongside the results of this challenge, may lay the groundwork for the creation of AI-powered tools that can offer more precise and efficient diagnosis and treatment planning in the field of dentistry. The evaluation code and datasets can be accessed at https://github.com/ibrahimethemhamamci/DENTEXComment: MICCAI 2023 Challeng

Written information about individual medicines for consumers.

Medicines are the most common intervention in most health services. As with all treatments, those taking medicines need sufficient information: to enable them to take and use the medicines effectively, to understand the potential harms and benefits, and to allow them to make an informed decision about taking them. Written medicines information, such as a leaflet or provided via the Internet, is an intervention that may meet these purposes

Differential physiological changes following internet exposure in higher and lower problematic internet users

Problematic internet use (PIU) has been suggested as in need of further research with a view to being included as a disorder in future Diagnostic and Statistical Manual (DSM) of the American Psychiatric Association, but lack of knowledge about the impact of internet cessation on physiological function remains a major gap in knowledge and a barrier to PIU classification. One hundred and forty-four participants were assessed for physiological (blood pressure and heart rate) and psychological (mood and state anxiety) function before and after an internet session. Individuals also completed a psychometric examination relating to their usage of the internet, as well as their levels of depression and trait anxiety. Individuals who identified themselves as having PIU displayed increases in heart rate and systolic blood pressure, as well as reduced mood and increased state of anxiety, following cessation of internet session. There were no such changes in individuals with no self-reported PIU. These changes were independent of levels of depression and trait anxiety. These changes after cessation of internet use are similar to those seen in individuals who have ceased using sedative or opiate drugs, and suggest PIU deserves further investigation and serious consideration as a disorder

The relationship between schizotypal personality and internet addiction in university students

The current study assessed the relationship between problematic internet behaviors, as measured by the Internet Addiction Test (IAT), and schizotypal personality traits, measured by the Oxford-Liverpool Inventory of Feelings and Experiences (O-LIFE(B)). One hundred participants (aged between 20 and 30) were given a battery of psychometric assessments, including the IAT and O-LIFE(B), as well as measures of depression, and anxiety. Around 30% of the sample displayed responses to the IAT that suggested some problems controlling internet behaviors, and there was no gender difference in these figures. There were associations between both the impulsive nonconformity and introverted anhedonia schizotypal personality traits and problematic internet use, over and above those associated with depression and anxiety. This replicates some previous work that implies that impulsiveness and depression are predictive of behavioral addictions, but places them within a single construct. The findings also support the notion of two groups of users who display problematic internet behaviors - impulsive and depressed individuals