Mekanisme Koping Berhubungan Dengan Tingkat Kecemasan Pasien Kemoterapi Di Ruang Kemoterapi RS Urip Sumoharjo Lampung

Salah satu penyakit yang menjadi penyebab utama kematian masyarakat dunia adalah kanker. Semakin tahun penderita kanker di dunia bertambah, salah satu tindakan terapi kanker adalah kemoterapi. Kemoterapi merupakan tindakan yang banyak menimbulkan kecemasan. Kecemasan terjadi ketika seseorang merasa terancam baik fisik maupun psikologisnya. Untuk mengontrol cemas diperlukan koping yang baik. Tujuan penelitian mengetahui hubungan antara mekanisme koping pasien dengan tingkat kecemasan pada pasien kanker yang mendapat kemoterapi di Ruang Kemoterapi RS Urip Sumoharjo Bandar Lampung Tahun 2015. Desain penelitian menggunakan desain crosss sectional. Tehnik sampling purposive sampling sejumlah 90 orang. Analisis menggunakan Chi Square. Hasil analisis bivariat ada hubungan antara mekanisme koping pasien dengan tingkat kecemasan pada pasien kanker yang mendapat kemoterapi di Ruang Kemoterapi RS Urip Sumoharjo Bandar Lampung Tahun 2015 (p-value = 0,004).Saran bagi Rumah Sakit Membuat suatu aturan atau Standar Operasional Pelaksanaan (SOP) tindakan yang akan dilakukan seperti tindakan pre kemoterapi sehingga dapat meningkatkan keterampilan petugas dalam melaksanakan asuhan/ pelayanan kepada pasien dengan berupa pendidikan kesehatan disertai dengan pembagian liflat sehingga diharapkan pasien dapat membaca kembali apa yang disampaikan oleh petugas medis dengan demikian diharapkan dapat menambah pengetahuan pasien tentang kemoterapi sehingga dapat menurunkan tingkat kecemasan ketika menghadapi kemoterapi. Kata Kunci : Koping pasien, tingkat kecemasa

Benzyl alcohol to benzaldehyde oxidation on MnOx clusters: Unraveling atomistic features

The catalytic oxidation of benzyl alcohol with O2 is a promising option for the production of benzaldehyde, from both environmental and economical viewpoints. In particular, highly dispersed MnOx systems feature good activity and selectivity in a wide range of temperatures, although deactivation phenomena by over-oxidation and/or poisoning of active sites are generally recorded. On this account, a density functional theory study was performed on cluster-sized catalyst models, namely Mn4O8 and over-oxygenated Mn4O9 fragments, to predict the reactivity pattern of MnOx catalysts in the selective aerobic oxidation of benzyl alcohol. Several pathways concur to determine the whole reaction process and all of them were compared to unveil the atomistic details of the alcohol oxidation mechanism. Moreover, assuming that the consecutive formation of benzoic acid affects the activity-stability pattern of the MnOx based catalyst, also the benzaldehyde oxidation mechanism was computationally addressed. A systematic comparison of the benzyl alcohol and benzaldehyde oxidation mechanisms on the Mn4O8 and Mn4O9 fragments reveals some experimental strategies to test the reaction mechanisms and design alternative catalytic routes to decrease undesired parasitic reactions leading to catalyst deactivation. The matching structural, energetic and kinetic data are published in the Data in Brief journal [1]

Neutrophil-tumor cell phagocytosis (cannibalism) in human turoms: an update and literature review

The recognition and removal of apoptotic cells by tissue macrophages and nonprofessional phagocytes, in a process called efferocytosis, is critical for development, tissue homeostasis and resolution of inflammation. Apoptotic bodies arising in tumor tissue are ingested by viable neoplastic cells and by resident macrophages. We described tumor cell phagocytosis of apoptotic neutrophils in human gastric carcinomas. This phenomenon is analogous to neutrophil efferocytosis performed by macrophages and by nonprofessional phagocytes during inflammatory reaction but is distinct by other types of cell-in-cell phenomena including emperipolesis and entosis both cytologically and biologically. In this review, we discussed them in their ultrastructural morphology, physiolo­gical roles, and clinicopathologic implications. This article is part of a Special Issue entitled “Apoptosis: Four Decades Later”

Exploring drivers of overnight stays and same-day visits in the tourism sector

: We employ mobile network data referred to the area of Lombardy in Italy to investigate alternative touristic behaviours, such as same-day visits and overnight stays in Italy. We show that larger availability of tourism accommodations, cultural and natural endowments are relevant factors explaining overnight stays. Conversely, temporary entertainment and transportation facilities increase municipalities attractiveness for same-day visits. The results also highlight a trade-off in the capability of municipalities of being attractive in connection to both the tourism behaviours. For instance, higher tourists arrivals are observed in areas receiving limited visitors, coming from municipalities with low same-day visits outflows. We highlight mobile data offer an adequate level of spatial and temporal granularity and can be thus employed to support policy makers in the design of effective tourist management strategies

Droplets generated from toilets during urination as a possible vehicle of carbapenem-resistant Klebsiella pneumoniae

BACKGROUND: In the health care setting, infection control actions are fundamental for containing the dissemination of multidrug-resistant bacteria (MDR). Carbapenemase-producing Enterobacterales (CPE), especially Klebsiella pneumoniae (CR-KP), can spread among patients, although the dynamics of transmission are not fully known. Since CR-KP is present in wastewater and microorganisms are not completely removed from the toilet bowl by flushing, the risk of transmission in settings where toilets are shared should be addressed. We investigated whether urinating generates droplets that can be a vehicle for bacteria and explored the use of an innovative foam to control and eliminate this phenomenon. METHODS: To study droplet formation during urination, we set up an experiment in which different geometrical configurations of toilets could be reproduced and customized. To demonstrate that droplets can mobilize bacteria from the toilet bowl, a standard ceramic toilet was contaminated with a KPC-producing Klebsiella pneumoniae ST101 isolate. Then, we reproduced urination and attached culture dishes to the bottom of the toilet lid for bacterial colony recovery with and without foam. RESULTS: Rebound droplets invariably formed, irrespective of the geometrical configuration of the toilet. In microbiological experiments, we demonstrated that bacteria are always mobilized from the toilet bowl (mean value: 0.11 ± 0.05 CFU/cm2) and showed that a specific foam layer can completely suppress mobilization. CONCLUSIONS: Our study demonstrated that droplets generated from toilets during urination can be a hidden source of CR-KP transmission in settings where toilets are shared among colonized and noncolonized patients

Evaluation of toxic chemical parameters and ecotoxicity levels in bottled mineral waters

Heavy metals, phthalates, characterizing elements, CO2 concentrations and pH and hardness levels were measured in forty samples of bottled mineral waters. In some samples arsenic, manganese, mercury and selenium were present in higher concentrations than permitted by Italian law. No significant release of phthalates from containers in PET was observed. In the same samples, toxicity tests with Daphnia magna were carried out. Toxicity levels, expressed as % of immobile organisms, ranged from 0 to 100%; generally the highest toxicity values were found in the hardwaters

Machine learning approach using MLP and SVM algorithms for the fault prediction of a centrifugal pump in the oil and gas industry

The demand for cost-effective, reliable and safe machinery operation requires accurate fault detection and classification to achieve an efficient maintenance strategy and increase performance. Furthermore, in strategic sectors such as the oil and gas industry, fault prediction plays a key role to extend component lifetime and reduce unplanned equipment thus preventing costly breakdowns and plant shutdowns. This paper presents the preliminary development of a simple and easy to implement machine learning (ML) model for early fault prediction of a centrifugal pump in the oil and gas industry. The data analysis is based on real-life historical data from process and equipment sensors mounted on the selected machinery. The raw sensor data, mainly from temperature, pressure and vibrations probes, are denoised, pre-processed and successively coded to train the model. To validate the learning capabilities of the ML model, two different algorithms-the Support Vector Machine (SVM) and the Multilayer Perceptron (MLP)-are implemented in KNIME platform. Based on these algorithms, potential faults are successfully recognized and classified ensuring good prediction accuracy. Indeed, results from this preliminary work show that the model allows us to properly detect the trends of system deviations from normal operation behavior and generate fault prediction alerts as a maintenance decision support system for operatives, aiming at avoiding possible incoming failures

Nanostructured zirconia-based ceramics and composites in dentistry: A state-of-the-art review

The objective of this paper is to review the current knowledge on the development of nanostructured zirconia-based ceramics and composites suitable for application in dentistry. Isi Web of Science, Science Direct, Scientific.net databases, and Google were searched electronically for the period of 1980 to the present, matching the keywords \u201cnano\u201d with the keywords: \u201cZirconia, ZrO2, Y-TZP, and dental, dentistry\u201d. A total of 74 papers were found, with the majority coming from Asia, indicating a more active scientific interest on the topic in this geographic area, followed by Europe, South America, and North America. The research shows, even though the scientific activity on nanostructured ceramics was intense in the last fifteen years, the development of fully dense zirconia-based nanoceramics is yet at an initial stage, most of all from the point of view of the clinical applications. It has been demonstrated that nanostructured ceramics can show improved properties because of the reduction of the grain size to the nanoscale. This is also true for zirconia-based nanoceramics, where some improvements in mechanical, optical, as well as resistance in low-temperature degradation have been observed. Potential applications of this class of material in the dental field are discussed, summarizing the results of the latest scientific research