Pelaksanaan Penyelidikan dan Penyidikan Tindak Pidana Narkoba (Studi Kasus BNN Sul-Sel)

Hasil penelitian menunjukkan bahwa, kewenangan penyelidik dan penyidik tindak pidana narkoba dalam hal ini penyelidik dan penyidik BNN Provinsi Sul-Sel memiliki sedikit perbedaan dengan penyidik Kepolisian dan penyidik pegawai negeri sipil (PPNS). Hal ini ditunjukan dengan adanya kewenangan penyidik BNN Provinsi Sul-Sel untuk melakukan penyadapan terhadap pelaku tindak pidana narkoba dengan bekerja sama dengan pihak terkait selaku penyedia jaringan seluler. sedangkan penyelesaian kasus tindak pidana narkoba di BNN Sul-Sel didasarkan pada alat bukti yang didapat

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS

Suicide is the 10th leading cause of death in the U.S (1999-2019). However, predicting when someone will attempt suicide has been nearly impossible. In the modern world, many individuals suffering from mental illness seek emotional support and advice on well-known and easily-accessible social media platforms such as Reddit. While prior artificial intelligence research has demonstrated the ability to extract valuable information from social media on suicidal thoughts and behaviors, these efforts have not considered both severity and temporality of risk. The insights made possible by access to such data have enormous clinical potential - most dramatically envisioned as a trigger to employ timely and targeted interventions (i.e., voluntary and involuntary psychiatric hospitalization) to save lives. In this work, we address this knowledge gap by developing deep learning algorithms to assess suicide risk in terms of severity and temporality from Reddit data based on the Columbia Suicide Severity Rating Scale (C-SSRS). In particular, we employ two deep learning approaches: time-variant and time-invariant modeling, for user-level suicide risk assessment, and evaluate their performance against a clinician-adjudicated gold standard Reddit corpus annotated based on the C-SSRS. Our results suggest that the time-variant approach outperforms the time-invariant method in the assessment of suicide-related ideations and supportive behaviors (AUC:0.78), while the time-invariant model performed better in predicting suicide-related behaviors and suicide attempt (AUC:0.64). The proposed approach can be integrated with clinical diagnostic interviews for improving suicide risk assessments.Comment: 24 Pages, 8 Tables, 6 Figures; Accepted by PLoS One ; One of the two mentioned Datasets in the manuscript has Closed Access. We will make it public after PLoS One produces the manuscrip

Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS

Suicide is the 10th leading cause of death in the U.S (1999-2019). However, predicting when someone will attempt suicide has been nearly impossible. In the modern world, many individuals suffering from mental illness seek emotional support and advice on well-known and easily-accessible social media platforms such as Reddit. While prior artificial intelligence research has demonstrated the ability to extract valuable information from social media on suicidal thoughts and behaviors, these efforts have not considered both severity and temporality of risk. The insights made possible by access to such data have enormous clinical potential - most dramatically envisioned as a trigger to employ timely and targeted interventions (i.e., voluntary and involuntary psychiatric hospitalization) to save lives. In this work, we address this knowledge gap by developing deep learning algorithms to assess suicide risk in terms of severity and temporality from Reddit data based on the Columbia Suicide Severity Rating Scale (C-SSRS). In particular, we employ two deep learning approaches: time-variant and time-invariant modeling, for user-level suicide risk assessment, and evaluate their performance against a clinician-adjudicated gold standard Reddit corpus annotated based on the C-SSRS. Our results suggest that the time-variant approach outperforms the time-invariant method in the assessment of suicide-related ideations and supportive behaviors (AUC:0.78), while the time-invariant model performed better in predicting suicide-related behaviors and suicide attempt (AUC:0.64). The proposed approach can be integrated with clinical diagnostic interviews for improving suicide risk assessments

Plexiform neurofibroma of the submandibular gland in patient with von Recklinghausen's disease

Plexiform neurofibroma of the submandibular gland is an extremely rare tumor. Herein, we report a case of plexiform neurofibroma in a patient with a von Recklinghausen's disease (NF-1) who presented with a submandibular mass mimicking a submandibular gland tumor. Complete surgical excision provides the best treatment and final diagnosis. A neurofibroma should be considered in the differential diagnosis for submandibular mass

Home Away From Home

Home Away from Home is a web-based e-commerce application for renting homes or apartments. This application provides property owners to advertise their homes in this online application and lease them to renters for a short period. In our project we will create a web-based application which helps the transactions of property-rentals between the owners and the renters. Its functionalities should include uploads, setting, auditing, property listings, bookings, payment processing, post-rental ratings, surveys, Web mapping and more. There are three types of user accounts: admin, owner and renter. Each of these roles can manage its own profile and setting and has its specific authority and restrictions. The operating system that to use this Web-application is Windows 7 and the user interface of the application is Html5, Css3 and Bootstrap and we use jQuery as a client-side scripting. Our IDE is Visual studio 2017 community edition and the database is SQL. We will be including six major modules or functionalities in our project. User login and User Registration and updating their respective data. Master user creation and Renter registration and update on. Add property data uploading images and details of property master user. User interface for searching property. Customer data filter module. Change password functionality for admin/Renter and owner. These six are our major modules in our project