The Gamblers' Temperament and Character Inventory (TCI) Personality Profile

Peer reviewe

Pengembangan Aplikasi Fuzzy Logic Controller untuk Pengereman Kereta Api di Stasiun dan Simulasinya

Sistem pengereman kereta api yang masih manual menyebabkan ketidaknyamanan penumpang karena hentakan yang kuat dan bunyi yang kurang enak didengar telinga ketika terjadi pengereman di stasiun. Hal ini disebabkan karena tidak ada sistem kontrol yang mengatur tentang kecepatan kereta, jarak pengereman dari stasiun dan kekuatan pengereman kereta. Permasalahan pengereman dapat diatasi dengan melakukan pengaturan pada sistem pengereman, salah satu cara yang dapat dilakukan adalah dengan menggunakan sistem kontrol/kendali logika fuzzy atau sering disebut logika fuzzy controller. Dalam penelitian ini, metode logika fuzzy yang digunakan adalah metode Mamdani dengan metode defuzzifikasi centroid. Sedangkan tool yang digunakan adalah Microsoft Visual Studio 2005 untuk membangun aplikasi fuzzy dan Macromedia Flash MX 2004 untuk membuat simulasi pengereman berbasis multimedia. Aplikasi fuzzy logic controller untuk pengereman kereta api di stasiun berhasil dikembangkan dan menghasilkan output berupa bilangan crisp (tegas) sebagai acuan untuk melakukan pengereman kereta api dengan input berupa jarak pengereman dengan stasiun dan kecepatan kereta sebelum dilakukan pengereman. Hasilnya dapat ditampilkan pula dalam bentuk simulasi berbasis multimedia

Disaster management of Malaka district government in flood disaster management

Purpose: This study aimed to analyze the disaster management of the Malaka Regency Government in flood disaster management. Research methodology: The research method used in this study is a qualitative research method. The informants in this study were elements of the government as well as elements of society consisting of the Flood Victims Community. The analysis technique in this study uses data analysis developed by Miles and Huberman (2014: 10) as follows; (a) data reduction (b) data display and (c) concluding. Finding: The result of this research is that the Malaka Regency Government's disaster management in flood disaster management has implemented the best management even though it is still not optimal. Limitations: This study's limitation is that this study only discusses the disaster management of the Malaka district government in overcoming the floods that occurred there. Contribution: This research becomes scientific information for public administration and disaster management. Keywords: Management, Disaster, Governmen

Penerapan Pendekatan Learning Community untuk Meningkatkan Prestasi Belajar Siswa pada Materi Bilangan Pecahan Siswa Kelas VII

Tujuan penelitian ini adalah untuk mengetahui peningkatan prestasi belajar matematika siswa kelas VII SMPN Nunufafi materi bilangan pecahan dengan menggunakan pendekatan Learning Community. Jenis penelitian yang digunakan adalah Penelitian Tindakan Kelas. Subjek dalam penelitian ini adalah siswa kelas VII SMP Negeri Nunufafi pada semester ganjil Tahun Ajaran 2019/2020 yang berjumlah 24 orang. Alat pengumpulan data dalam penelitian ini adalah lembar observasi, soal tes dalam bentuk uraian yang terdiri dari 3 (tiga) butir soal. Penelitian ini dilaksanakan dalam dua siklus dan masing-masing siklus terdiri dari dua kali pertemuan, dengan rincian pertemuan pertama yaitu proses belajar mengajar dan pertemuan kedua melakukan tes. Dengan Indikator keberhasilan ketuntasan klasikalnya 75%. Hasil penelitian menunjukkan bahwa prestasi belajar siswa meningkat, hal ini dibuktikan pada siklus I presentase ketuntasan kelasnya 66,66 % siswa yang mengikuti tes 24 orang, yang tuntas 16 orang, dan aktivitas siswa dengan kategori cukup baik, serta aktivitas guru dengan kategori baik. Sedangkan pada siklus II presentase ketuntasan kelasnya meningkat menjadi 79,17% yang mengikuti tes berjumlah 24 orang, yang tuntas 19 orang, dengan kategori sangat baik untuk aktivitas siswa dan guru. Dengan demikian peneliti menyimpulkan bahwa dengan menggunakan pendekatan Learning Community dapat meningkatkan prestasi belajar matematika materi bilangan pecahan pada siswa SMP Negeri Nunufafi

Harnessing the epigenome to boost immunotherapy response in non-small cell lung cancer patients

The introduction of immune checkpoint inhibitor (ICI)-based therapy for non-oncogene addicted non-small cell lung cancer (NSCLC) has significantly transformed the treatment landscape of the disease. Inhibitors of the programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) immune checkpoint axis, which were initially considered as a late-line treatment option, gradually became the standard of care as first-line treatment for subgroups of NSCLC patients. However, a significant fraction of patients either fails to respond or progresses after a partial response to ICI treatment. Thus, the identification of mechanisms responsible for innate and acquired resistance to immunotherapy within a rapidly evolving tumor microenvironment (TME) is urgently required, as is the identification of reliable predictive biomarkers beyond PD-L1 expression. The deregulation of the epigenome is a key driver of cancer initiation and progression, and it has also been shown to drive therapeutic resistance. Tumor education of infiltrating myeloid cells towards an immuno-suppressive phenotype as well as induction of T-cell dysfunction in the TME is also driven by epigenome reprogramming. As it stands and, given their dynamic nature, epigenetic changes in cancer and non-cancer cells represent an attractive target to increase immunotherapy activity in NSCLC. Accordingly, clinical trials of combinatorial immuno-epigenetic drug regimens have been associated with tumor response in previously immunotherapy-resistant NSCLC patients irrespective of their PD-L1 status. Moreover, epigenetic signatures might represent valuable theragnostic biomarkers as they can be assayed easily in liquid biopsy and provide multiple layers of information. In this review, we discuss the current knowledge regarding the dysregulated epigenetic mechanisms contributing to immunotherapy resistance in NSCLC. Although the clinical data are still maturing, we highlight the attractive perspective that the synergistic model of immuno-epigenetic strategies might overcome the current limitations of immunotherapy alone and will be translated into durable clinical benefit for a broader NSCLC population

Survival analysis in single N2 station lung adenocarcinoma: The prognostic role of involved lymph nodes and adjuvant therapy

Background: Prognostic factors in patients with single mediastinal station (sN2) involvement continues to be a debated issue. Methods: Data on 213 adenocarcinoma patients with sN2 involvement and who had undergone complete anatomical lung resection and lymphadenectomy, were retrospectively reviewed. Clinical and pathological characteristics together with adjuvant therapy (AD) and node (N) status classifications (number of resected nodes (#RN), number of metastatic nodes (#MN), and node ratio (#MN/#RN = NR) were analyzed. Results: Univariable analysis confirmed that age (0.009), #MN (0.009), NR (0.003), #N1 involved stations (p = 0.003), and skip metastases (p = 0.005) were related to overall survival (OS). Multivariable analysis confirmed, as independent prognostic factors, age <66 years and NR with a three-year OS (3YOS) of 78.7% in NR < 10% vs. 46.6% in NR > 10%. In skip metastases, NR (HR 2.734, 95% CI 1.417–5.277, p = 0.003) and pT stage (HR2.136, 95% CI 1.001–4.557, p = 0.050) were confirmed as independent prognostic factors. AD did not influence the OS of patients with singular positive lymph nodes (p = 0.41), while in patients with multiple lymph nodes and AD, a significantly better 3YOS was demonstrated, i.e., 49.1% vs. 30% (p = 0.004). In patients with N2 + N1 involvement, age (p = 0.002) and AD (p = 0.022) were favorable prognostic factors. Conclusions: Adenocarcinoma patients with single N2 station involvement had a favorable outcome in the case of skip metastases and low NR. Adjuvant therapy improves survival with multiple nodal involvement, while its role in single node involvement should be clarified

Monitoring of blood serum amyloid (SAA) to predict outcome of first-line pembrolizumab (P) in patients (pts) with advanced non-small cell lung cancer (ANSCLC).

n/