Future air traffic - A study of the terminal area

Systems analysis approach to airport planning and predicting terminal facility and aircraft demands in year 2000 for air traffic control system

STUDI ANATOMI OTAK MUSANG LUWAK (Paradoxurus hermaphroditus) ASAL PULAU TIMOR

Asian Palm Civet (Paradoxurus hermaphroditus) is one of Indonesian faunas. The brain is the most vital organ for living organism because it is a central coordination of the various activities, internal mechanisms and coordinating all body activities related to the stimulation of the surrounding environment. The purpose of this research was to observe the brain macroscopic representation of Asian palm civet. Three Asian palm civets were used in this study. Asian Palm Civet was anaesthetized and perfused then opened the skull to observe the brain macroscopic representation. The brain macroscopic representation showed that the Asian palm civet had 3 parts of brain the cerebrum, cerebellum and brain stem. Sulcus and gyrus in Asian palm civet are simpler than dogs. Paraflocculus lobes in the dog is more complicated  compare to Asian palm civet that is found on the ventral and dorsal. Vermisin the Asian Palm civet resemblance to the vermis in dog. The continued development of the vermisin Asian palm civet and more developed than the fruit bat (Rousettus sp), in connection with the Asian palm civet life as nocturnal and live in tree

Perhitungan Struktur Beton Bertulang Hotel 8 Lantai di Jalan Ahmad Yani 2 Kubu Raya

Seiring dengan meningkatnya perkembangan pembangunan dan berkembangnya dunia pariwisata di Indonesia, maka harus diimbangi dengan berkembangnya sarana prasarana khususnya dalam jasa penginapan atau perhotelan. Hotel merupakan tempat peristirahatan yang sangat diperlukan bagi kalangan masyarakat yang sering berpergian. Untuk menunjang pembangunan hotel yang efektif dan efisien serta tidak melupakan aspek ekonomis dari konstruksi maka setiap perencana harus merencanakan struktur bangunan dengan mengacu pada peraturan yang berlaku. Bangunan yang ditinjau adalah hotel dengan konstruksi beton bertulang berlantai 8 di jalan Ahmad Yani 2, Kubu Raya. Dalamanalisis struktur, sistempembebanan yangdibebankanpadagedungadalahsistempembebanan horizontal yang mencakupbebangempa, danpembebananvertikalyang mencakupbebanhidupdanbebanmati. Analisisstrukturdibantudengan program ETABS. Penentuanbebanmatiyaitu beratsendiristrukturdankomponen-komponentetapsepertibebandinding, beban plesteran lantai, beban plafond, bebanmekanikalelektrikaldanlainnya. Sedangkan besarnyabebanhidupditentukanberdasarkankegunaanbangunantersebut yang diaturdalam Minimun Design Load for Building and Other Structures. Beban gempa yang bekerjaditentukanberdasarkanfaktorpada petazonasigempa, tinggibangunan, bentukbangunan, pemanfaatandanlainnyayang diatur dalam Standar Perencanaan Ketahanan Gempa untuk Struktur Bangunan Gedung dan Non Gedung, SNI 1726-2012.Hasil desainstrukturberupadimensielemen-elemenstrukturutama yang tahanterhadapgempa. Strukturtanggadihitungterpisahdaristrukturutama. Pondasidianggapkaku sempurna sehinggadimodelkansebagaijepit. Analisisstrukturmeliputipelat, balok, kolom, danpondasi. Dari hasilperhitungandiperolehjumlahtitikpondasiminipile, dimensipelat lantai, balok, dan kolompadastruktur yang telahdikerjakan. Dengan kata lain, gedung hotel 8 lantai di jalan Ahmad Yani 2 Kubu Raya inisudahdirencanakandenganperaturangempa yang berlaku, dalamhalini SNI 1726-2012

The impact of electronic versus paper-based data capture on data collection logistics and on missing scores in thyroid cancer patients.

The purpose of this study was to investigate the impact of the type of data capture on the time and help needed for collecting patient-reported outcomes as well as on the proportion of missing scores. In a multinational prospective study, thyroid cancer patients from 17 countries completed a validated questionnaire measuring quality of life. Electronic data capture was compared to the paper-based approach using multivariate logistic regression. A total of 437 patients were included, of whom 13% used electronic data capture. The relation between data capture and time needed was modified by the emotional functioning of the patients. Those with clinical impairments in that respect needed more time to complete the questionnaire when they used electronic data capture compared to paper and pencil (OR <sub>adj</sub> 24.0; p = 0.006). This was not the case when patients had sub-threshold emotional problems (OR <sub>adj</sub> 1.9; p = 0.48). The odds of having the researcher reading the questions out (instead of the patient doing this themselves) (OR <sub>adj</sub> 0.1; p = 0.01) and of needing any help (OR <sub>adj</sub> 0.1; p = 0.01) were lower when electronic data capture was used. The proportion of missing scores was equivalent in both groups (OR <sub>adj</sub> 0.4, p = 0.42). The advantages of electronic data capture, such as real-time assessment and fewer data entry errors, may come at the price of more time required for data collection when the patients have mental health problems. As this is not uncommon in thyroid cancer, researchers need to choose the type of data capture wisely for their particular research question

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment