International trade distributions and their relation with random fragmentation processes

A study of the distribution of the value of traded goods under the Harmonized System is presented. The ramifications of this classification system are found to exhibit an approximate power law decay, indicating complexity and self-organization in the nomenclature of traded merchandises. For almost all countries with available data, log-values of annually imported and exported goods are well described by three-parameter Weibull distributions. This distribution commonly appears in particles size distributions, suggesting a connection between random fragmentation processes and the mechanisms behind the international trade of merchandises. Analysis of the resulting values for the fitting parameters from 1995 to 2018 shows a nearly constant linear relationship between the parameters of the Weibull distributions, so that, for each country, the distribution of log-values can be approximately characterized by a single shape parameter [Formula: see text]. The empirical findings of this paper suggest that specialization on trading a constant set of goods prevents the values of all traded merchandises from growing/decreasing simultaneously.

Penerapan Antarmuka Adaptif Berbasis Perilaku Pemain pada E-Learning Bidang Pemrograman

Pada masa pandemi seperti sekarang ini, bidang pendidikan mengalami dampak yang signifikan dalam pelaksanaannya. Proses belajar mengajar yang sebelumnya dilakukan secara tatap muka, saat ini harus dilaksanakan secara daring. Pembelajaran daring dengan memanfaatkan e-learning sangat bermanfaat bagi pembelajar karena dapat diakses secara daring kapan pun dan dari mana pun. E-learning diharapkan tidak hanya menjadi tempat berbagi file materi sebagai pendukung pembelajaran, tetapi perannya dituntut dapat menggantikan peran guru atau dosen di kelas. Dalam proses belajar mengajar, kondisi dan perilaku siswa merupakan hal yang penting diketahui. Pengetahuan tentang kondisi dan keadaan siswa ketika belajar dapat digunakan oleh pengajar sebagai bahan untuk meningkatkan kualitas maupun proses pembelajaran bagi siswa. Kebanyakan e-learning yang ada sekarang belum dilengkapi dengan fitur untuk mendeteksi keadaan siswa selama menggunakan sistem. Pada makalah ini dilakukan penerapan antarmuka yang adaptif sebagai cerminan e-learning yang mampu menyesuaikan dengan karakteristik perilaku pengguna. Pengujian kinerja menunjukkan hasil bahwa dengan jumlah data log mencapai 950 pengguna aktif, dibutuhkan waktu 23,35 ms. Sementara itu, pada uji fungsionalitas, sistem berhasil menampilkan antarmuka sesuai dengan cluster member.

Perbandingan Tool Forensik pada Mozilla Firefox Private Mode Menggunakan Metode NIST

Penggunaan System Operasi Linux yang didistribusikan secara open source menjadikannya operating system yang dapat didistribusikan secara masif oleh banyak perusahaan. PC/Notebook maupun perangkat pintar yang berbasiskan Linux semakin diminati oleh user karena dalam proses distribusinya tidak dipungut biaya apapun. Memberikan layanan browsing internet kepada para user secara privat dan tidak meninggalkan jejak digital merupakan salah satu upaya yang dilakukan oleh web browser sebagai upaya invovasi web browser mendapatkan pengguna layanan sebanyak-banyaknya. Metode investigasi forensic web browser private mode menjadi hal yang perlu guna menjadi acuan dalam melakukan forensic terhadap kasus/kejadian kejahatan yang melibatkan layanan browsing secara privat. Ada banyak tools yang dapat dimanfaatkan untuk melakukan live forensics dan analisis data. Penelitian ini berhasil mengungkap bahwa layanan browsing secara privat yang disediakan oleh Mozilla Firefox nyata-nyata tidak privat secara menyeluruh. Artefak digital masih dapat ditemukan dalam RAM dan dianalisa dengan menggunakan berbagai macam tools untuk forensic, tools Autopsy berhasil mendapatkan data log browser sebesar 83%. Hasil artefak investigasi tersebut dapat menjadi acuan permulaan para investigator dalam penegakan hukum untuk mencari tersangka lain dan mendalami sebuah kasus yang melibatkan banyak pihak.

Importance of Security in Big Data Log Files on Cloud

Today cloud computing is a very popular technology, and many people use this technology in many ways. it's important to have it safe. This technology was primarily used to keep data safer and safer in the cloud, so in this article we suggest a security framework for large data logs in the cloud. There are many and many risks that threaten the integrity of this information in the great information. Therefore, in line with the development of technology, the level of security has also increased significantly over the years. Various technology techniques access several online activities, such as interaction with different internet sites and services, making the web more accessible to their plug-ins. As a result, these activities have created a global platform for malicious activities to add these devices that expose large data logs harmful attacks. Sky system is an online platform that requires proper security integration. In addition, the current state of online security threatens high data in the cloud, which has affected the performance and service model.

Dashboard for analyzing SCADA data log: a case study of urban railway in Malaysia

<p>The operation of maintenance in the railway industry is high priorities for safety which reflects the train services. The Kelana Jaya Line (KJL) is the leading urban metro train operator among light rail transit (LRT) categories in Malaysia. The main issue in KJL, they are facing huge historical data from the supervisory control and data acquisition (SCADA) logger when organizing the corrective maintenance work schedule. The previous conventional method leads to time constraint which causes redundancy of data reading. Hence, SCADA Dashboard was developed as a tool to structure their work prioritization for weekly planning. It was developed by using Microsoft Power Query and Power Pivot, in the advanced Excel software. The dashboard evaluation was performed based on usability and user experience studies. The evaluation test proves that the dashboard can be used effectively and it’s beneficial to the organizations as well as a contribution towards systematic maintenance.</p>

Use of My Health Record by Clinicians in the Emergency Department: An Analysis of Log Data

Objectives: Leverage log data to explore access to My Health Record (MHR), the national electronic health record of Australia, by clinicians in the emergency department.Materials and Methods: A retrospective analysis was conducted using secondary routinely-collected data. Log data pertaining to all patients who presented to the emergency department between 2019 and 2021 of a not-for-profit hospital (that annually observes 23,000 emergency department presentations) were included in this research. Attendance data and human resources data were linked with MHR log data. The primary outcome was a dichotomous variable that indicated whether the MHR of a patient was accessed. Logistic regression facilitated the exploration of factors (user role, day of the week, and month) associated with access.Results: My Health Record was accessed by a pharmacist, doctor, or nurse in 19.60% (n = 9,262) of all emergency department presentations. Access was dominated by pharmacists (18.31%, n = 8,656). All users demonstrated a small, yet significant, increase in access every month (odds ratio = 1.07, 95% Confidence interval: 1.06–1.07, p ≤ 0.001).Discussion: Doctors, pharmacists, and nurses are increasingly accessing MHR. Based on this research, substantially more pharmacists appear to be accessing MHR, compared to other user groups. However, only one in every five patients who present to the emergency department have their MHR accessed, thereby indicating a need to accelerate and encourage the adoption and access of MHR by clinicians.

Speech Recognition Outcomes in Adults With Slim Straight and Slim Modiolar Cochlear Implant Electrode Arrays

Objective To compare differences in audiologic outcomes between slim modiolar electrode (SME) CI532 and slim lateral wall electrode (SLW) CI522 cochlear implant recipients. Study Design Retrospective cohort study. Setting Tertiary academic hospital. Methods Comparison of postoperative AzBio sentence scores in quiet (percentage correct) in adult cochlear implant recipients with SME or SLW matched for preoperative AzBio sentence scores in quiet and aided and unaided pure tone average. Results Patients with SLW (n = 52) and patients with SME (n = 37) had a similar mean (SD) age (62.0 [18.2] vs 62.6 [14.6] years, respectively), mean preoperative aided pure tone average (55.9 [20.4] vs 58.1 [16.4] dB; P = .59), and mean AzBio score (percentage correct, 11.1% [13.3%] vs 8.0% [11.5%]; P = .25). At last follow-up (SLW vs SME, 9.0 [2.9] vs 9.9 [2.6] months), postoperative mean AzBio scores in quiet were not significantly different (percentage correct, 70.8% [21.3%] vs 65.6% [24.5%]; P = .29), and data log usage was similar (12.9 [4.0] vs 11.3 [4.1] hours; P = .07). In patients with preoperative AzBio <10% correct, the 6-month mean AzBio scores were significantly better with SLW than SME (percentage correct, 70.6% [22.9%] vs 53.9% [30.3%]; P = .02). The intraoperative tip rollover rate was 8% for SME and 0% for SLW. Conclusions Cochlear implantation with SLW and SME provides comparable improvement in audiologic functioning. SME does not exhibit superior speech recognition outcomes when compared with SLW.

Web Usage Mining Menggunakan Algoritma Clastering K-Mean

Algoritma K-means merupakan salah satu algoritma yang digunakan untuk metode clustering dalam data mining. Algoritma ini hanya bisa digunakan untuk mengolah data bertipe numerik menjadi pengetahuan. Metode ini cocok digunakan untuk mengolah data log access file server web untuk bidang web usage mining. Dari sekian banyak data di log access pengunjung dapat diambil pengetahuannya setelah diolah oleh algoritma K-mean. Penelitian ini dilakukan untuk mengetahui kluster dari waktu yang digunakan oleh pengguna untuk mengakses website pada sebuah instansti. Setelah melakukan try and error dalam menetapkan jumlah k dan nilai centroid awal,maka diperoleh 4 kluster. Dengan penggunaan distance measure yaitu squared Euclidean distance. Dengan average cluster distance sama dengan 207,286. Nilai Davies boudin index untuk klaster k sama dengan 4 adalah 0,076.

Exploring Factors and Indicators for Measuring Students’ Performance in Moodle Learning Environment

One of the most important pillars of smart cities is the smart learning environ-ment. This environment should be well prepared and managed to improve the in-struction process for instructors from one side and the learning process for stu-dents from the other side. This paper presents the student’s Engagement, Behav-ior and Personality (EBP) predictive model. This model uses Moodle log data to investigate the influence and the effect of the students’ EBP factors on their per-formance. For this purpose, this paper uses the data log files of the "Search Strat-egies on the Internet" online course in Fall 2019 at Sultan Qaboos University (SQU) extracted from Moodle database. The intention of conducting this kind of experiments is of three-facets: 1. to assist in gaining a holistic understanding of online learning environments by focusing on student EBP and performance with-in the course activities, 2. to explore whether the student’s EBP can be considered as indicators for predicting student’s performance in online courses, and 3. to support instructors with insights to develop better learning strategies and tailor instructions for personal learning of individual students. Moreover, this paper takes a step forward in identifying effective methods to measure student’s EBP during the learning process. This may contribute to proposing a framework for the smart learning behavior environment that would guide the instructors to ob-serve students’ performance in a more creative way. All the 38 students who participated in this experiment had compatible statistics and results as the relationship between their Engagement, Behavior, Personality was symmetric with their Performance. This relationship was presented using a group of condition rules (If-then). The extracted rules gave us a straightforward and visual picture of the rela-tionship between the factors mentioned in this paper.

Identifikasi Karakteristik Reservoar Berdasarkan Data Akuistik Impedan dan Log Neutron Porositas Studi Kasus: Lapangan Boonsville, USA

<p>Penelitian ini berjudul Identifikasi Karakteristik Reservoar Berdasarkan Data Akuistik Impedan Dan Log Neutron Porositas Studi Kasus: Lapangan Boonsville, USA. Penelitian ini dilatarbelakangi oleh perlunya menemukan lokasi prospek hidrokarbon dalam upaya menjaga ketahanan energi. Tujuan dari penelitian ini antara lain untuk mendapatkan nilai <em>cutoff AI</em> <em>clean</em> <em>sand stone</em> pada formasi Caddo dan Vineyard berdasarkan hasil <em>crossplot</em> <em>log AI</em>, <em>density</em>, dan gamma ray dan untuk menentukan lokasi/zona yang di prediksi mengandung hidrokarbon pada formasi Caddo dan Vineyard berdasarkan hasil analisis inversi<em> AI</em>, porositas, dan analisis kualitatif data log. Metode yang digunakan dalam penelitian ini adalah metode seismik inversi impedansi akustik (<em>AI</em>). Metode seismik inversi<em> AI</em> digunakan untuk mendapatkan parameter fisis batuan yaitu impedansi akustik sehingga persebaran zona reservoar tempat tersimpannya cadangan hidrokarbon dapat diprediksi. Hasil sebaran<em> AI</em> pada volume seismik dapat digunakan untuk memprediksi sebaran porositas. Prediksi sebaran porositas pada volume seismik didapat dari hasil regresi linier antara nilai<em> AI</em> dengan data <em>log</em> porositas pada sumur B Yates 18 D. Hasil penelitian didapatkan nilai <em>cutoff AI clean sand stone</em> pada formasi Caddo sebesar 38000 - 55500 (ft/s) (gr/cc) dan pada formasi Vineyard sebesar 33000 - 37500 (ft/s) (gr/cc). Pada Top Caddo memiliki 4 zona yang diprediksi mengandung gas dengan reservoar berupa <em>clean sand stone</em>. Pada Top Vineyard ditemukan 3 zona yang diprediksi juga mengandung gas dengan reservoar berupa <em>shaly sand</em>.</p>