How Do Home Computer Users Browse the Web?

With the ubiquity of web tracking, information on how people navigate the internet is abundantly collected yet, due to its proprietary nature, rarely distributed. As a result, our understanding of user browsing primarily derives from small-scale studies conducted more than a decade ago. To provide an broader updated perspective, we analyze data from 257 participants who consented to have their home computer and browsing behavior monitored through the Security Behavior Observatory. Compared to previous work, we find a substantial increase in tabbed browsing and demonstrate the need to include tab information for accurate web measurements. Our results confirm that user browsing is highly centralized, with 50% of internet use spent on 1% of visited websites. However, we also find that users spend a disproportionate amount of time on low-visited websites, areas with a greater likelihood of containing risky content. We then identify the primary gateways to these sites and discuss implications for future research.

Differences in School Performance Between Only Children and Non-only Children: Evidence From China

This study aimed to investigate the features of only child status related to physical health, mathematics achievement, and school feelings and expectations from a different perspective. A representative sample of 91,619 Grade 4 students with an average age of 10.4 ± 0.7, among which 28,631 were only children, were assessed. We used propensity score matching (PSM) and the average treatment effects on the treatment to analyze data. The treatment was the only child of a family. The results indicated that only children have better academic achievement and school feelings (only for urban only child girls), while non-only children have better physical status and anaerobic fitness (AF). In addition, gender and rural vs. urban areas differences were also explored. The adverse situation for rural only boys is emphasized for families, researchers, and governments to focus on. Some suggestions are given under the Two- and Three-Child Policy.

Taking Responsibility for Industrial Digitalization: Navigating Organizational Challenges

In this article, an employee perspective has been applied in aiming to explore how organizations face challenges and take responsibility for industrial digitalization, thus extending the research on the human-centric perspective in relation to Industry 4.0 technologies. To give emphasis to the human-centric perspective, the co-workership wheel was applied to identify and analyze data. The findings of an explorative longitudinal qualitative case study consisting of 35 in-depth interviews with informants from a manufacturing company were used. Additional data collection consisted of documents and project meetings. By applying a human-centric perspective, llessons learned from this case study show that taking responsibility for industrial digitalization is challenging and the importance of an adaptive organizational culture and a focus on learning and competence are crucial. We argue that the findings give useful implications for manufacturing organizations navigating the challenges of industrial digitalization to sense and seize the benefits of Industry 4.0 technologies.

Debiasing FracMinHash and deriving confidence intervals for mutation rates across a wide range of evolutionary distances

Sketching methods offer computational biologists scalable techniques to analyze data sets that continue to grow in size. MinHash is one such technique that has enjoyed recent broad application. However, traditional MinHash has previously been shown to perform poorly when applied to sets of very dissimilar sizes. FracMinHash was recently introduced as a modification of MinHash to compensate for this lack of performance when set sizes differ. While experimental evidence has been encouraging, FracMinHash has not yet been analyzed from a theoretical perspective. In this paper, we perform such an analysis and prove that while FracMinHash is not unbiased, this bias is easily corrected. Next, we detail how a simple mutation model interacts with FracMinHash and are able to derive confidence intervals for evolutionary mutation distances between pairs of sequences as well as hypothesis tests for FracMinHash. We find that FracMinHash estimates the containment of a genome in a large metagenome more accurately and more precisely when compared to traditional MinHash, and the confidence interval performs significantly better in estimating mutation distances. A python-based implementation of the theorems we derive is freely available at https://github.com/KoslickiLab/mutation-rate-ci-calculator. The results presented in this paper can be reproduced using the code at https://github.com/KoslickiLab/ScaledMinHash-reproducibles.

MENINGKATKAN KETERAMPILAN MEMBACA MELALUI PENERAPAN METODE SQ3R PADA SISWA KELAS X SMK MUHAMMADIYAH WATANSOPPENG

This study is intended to improve students’ reading skills through the implementation of the SQ3R method (Survey, Question, Read, Recite, Review). This type of research is classroom action research which is carried out at SMK Muhammadiyah Watansoppeng. The research subjects were students of class X SMK Muhammadiyah Watansoppeng for the academic year 2021/2022 which consisted of 17 students, 9 males and 8 females. This classroom action research was carried out in a number of two cycles, in which each cycle followed the stages of planning, implementation, observation and reflection. Analyze data using quantitative analysis. The results showed that the application of the SQ3R method could improve the learning outcomes of class X students of SMK Muhammadiyah Watansoppeng. This increase can be seen from the results of the data analysis cycle 1 with an average acquisition of 79.23 and the percentage of completeness 70.59%. The lowest score is 70 and the highest score is 90 with a median of 79. While in cycle 2 the average score is 89.29, the lowest score is 80 and the highest score is 98, the median is 90 and the percentage of completeness is 100 %. ABSTRAKPenelitian ini dimaksudkan untuk meningkatkan keterampilan membaca peserta didik melalui implementasi metode SQ3R (Survey, Question, Read, Recite, Review). Jenis penelitian ini adalah penelitin tindakan kelas (classroom action research) yang dilaksanakan di SMK Muhammadiyah Watansoppeng. Subyek penelitian adalah siswa kelas X SMK Muhammadiyah Watansoppeng Tahun pelajaran 2021/2022 yang terdiri dari 17 siswa, 9 laki-laki dan 8 perempuan. Penelitian tindakan kelas ini dilaksanakan sejumlah dua siklus yang mana pada setiap siklusnya mengikuti tahap perencanaan, pelaksanaan, observasi dan refleksi. Untuk análisis data penulis gunakan análisis kuantitatif. Hasil penelitian ditemukan bahwa penggunaan metode SQ3R dapat meningkatkan keterampilan membaca peserta didik kelas X SMK Muhammadiyah Watansoppeng. Peningkatan tersebut dapat dilihat dari hasil análisis data siklus 1 dengan rata-rata perolehan 79,23 serta persentase ketuntasan 70,59%. Perolehan skor terendah yaitu 70 dan skor tertinggi yaitu 90 dengan median 79. Sedangkan pada siklus 2 rata-rata skor perolehan yaitu 89,29, skor terendah yaitu 80 dan skor tertinggi 98, median sebesar 90 serta persentase ketuntasan yaitu 100%.

Systemic lupus erythematosus reactivation after chemoimmunotherapy in preexisting autoimmune disease

The use of immune checkpoint inhibitors (ICIs) offers new possibilities in modern treatment of many types of cancers. Few data regarding safety and efficacy of ICIs are available, and are mainly from retrospective studies and case reports rather than from clinical trials, in the context of preexisting autoimmune disease, mainly due to the risk of severe toxicity. We present an unexpected life-threatening reactivation of systemic lupus erythematosus after one dose of chemo-immunotherapy with pembrolizumab for oligometastatic non-small-cell lung cancer. We analyze data coming from the published literature in this setting and discuss the risk–benefit balance of immunotherapy in patients with preexisting severe autoimmune disease.

Studi Kasus: Kejadian Bruselosis Pada Sapi Potong Di Kabupaten Barru Provinsi Sulawesi Selatan Tahun 2015-2017

There is still lack of bruselosis in beef cattle in Barru District, South Sulawesi. The aim of this study was to analyze data about the temporary distribution of disease by measuring spreading speed, and spatial distribution by mapping risk areas for bruselosis over the past three years. The data of this study was collected using the records from Dinas Peternakan and conducting interviews using structured questionnaires. This research was a descriptive study by measuring the incidence rate and describing the risk map using geographic information system (GIS). The results of this study indicate that, based on the incidence rate, the average of distribution rate of bruselosis in beef cattle in Barru is 5 cases per 10 000 heads/year. This incidence rate always decreases every year. There was no sub-district that classified as high risk. There was one area that classified as medium risk namely sub-district of Mallusetasi. Control measure that have been carried out by goverment were successful to reduce the spread of disease. Keywords: Beef cattle; Bruselosis; Incidence rate; Occurrence; Risk. Abstrak Informasi mengenai penyebaran kejadian penyakit pada sapi potong di Kabupaten Barru Sulawesi selatan masih kurang. Penelitian ini bertujuan menganalisis data distribusi kejadian penyakit secara temporal dengan mengukur kecapatan penyebaran, dan secara spasial dengan memetakan wilayah berisiko bruselosis selama tiga tahun terakhir. Data dalam penelitian ini menggunakan rekapan dari Dinas Peternakan dan wawancara mendalam menggunakan kuesioner terstruktur. Penelitian ini mengunakan metode deskriptif dengan mengukur incidence rate dan menggambarkan peta risiko menggunakan geographic information system. Hasil penelitian ini menunjukkan bahwa berdasarkan incidence rate, kecepatan rata-rata penyebaran bruselosis pada sapi potong di Kabupaten Barru sebesar 5 kasus per 10 000 ekor/tahun. Nilai incidence rate tersebut selalu menurun setiap tahunnya. Kejadian penyakit paling tinggi terjadi di Kecamatan Mallusetasi dengan incidence rate sebesar 35 kasus per 10 000 ekor/tahun. Terdapat satu wilayah yang tergolong ke dalam risiko sedang, yaitu Kecamatan Mallusetasi. Tindakan pengendalian yang telah dilakukan oleh pemerintah setempat dikatakan berhasil dalam menekan tingkat kejadian penyakit. Kata kunci: Bruselosis; Incidence rate; Risiko; Sapi potong; Tingkat kejadian

The Benefits of e-Commerce before and during the Covid-19 Pandemic for Small Enterprises in Indonesia

This study aims to analyze the benefits of e-commerce for small enterprises and its consequences before and during the COVID-19 pandemic. Furthermore, it examines the effects on the decrease in income of small enterprises and their response to a regulation restricting community activities. It also provides an outline of the support needed by small businesses. Meanwhile, a descriptive analysis and a paired t-test were used to analyze data (525 small enterprises in Indonesia) from an online questionnaire survey between May and June 2021. The results showed several significant discoveries, including the following: first, the COVID-19 pandemic resulted in a decline in revenue. Second, limits on community activities exacerbate the plight of small enterprises. Third, small enterprises sought several forms of assistance, with working capital accounting for the lion`s share of requests. Finally, substantial variations exist in respondents` perceptions of the benefits of e-commerce before and during the COVID-19 pandemic. Furthermore, these results contribute to the small medium enterprises literature and have significant policy implications for developing countries.

Representament and Object (RO) Marking Iconicity Relationship in Wardah Cosmetics Commercial TV Advertising

This study aims to examine the relationship between representament and object iconicity in Wardah's cosmetic commercial television commercials, which include shampoo, BB cream, mascara, lipstick, and social activities. Wardah cosmetic commercial television commercials attempt to construct consumers using the concept of “Beauty from the heart”. Meanwhile, the beauty of cosmetic users is always visible physically. Thus, it cannot be proven to be real beauty from the heart when someone uses cosmetics. This study uses a qualitative descriptive method to analyze data in the form of verbal and nonverbal text. The researcher uses Charles Sander Peirce's semiotic theory which divides the signs according to the relationship between the representament (sign) and its object (marker) into icons, indexes, and symbols. The results of this study indicate that beauty can be classified into two categories, namely physical beauty and psychological beauty. Physical beauty relates to the body and the head. There are four parts of the head which are icons of beauty for a young woman: 1) the hair, 2) the facial skin, 3) the eyes, and 4) the lips. Meanwhile, psychological beauty is a beauty from the heart that is manifested in the form of attitudes during social activities. In addition, young women as users of Wardah cosmetics are represented by the use of youthful vocabulary and language typical of the millennial generation.

Destinations and Data State-of-the-Art in Switzerland and Liechtenstein

This research investigates the state of the art among Switzerland (CH)’s and Liechtenstein (FL)’s destinations, intended here as Destination Marketing Organizations (DMOs), when it comes to their relationship with data: what data are collected, how they are stored, analyzed and what impact they have on the destination. This study aims at bringing insights into smart tourism studies as a key aspect of the debate is how DMOs deal with data. Based on a survey performed with CH’s and FL’s DMOs and related stakeholders, results suggested that there are common conceptual nodes shared by practitioners when it comes to defining smart destinations. However, when it comes to data-related practices (data collection, storage, analysis and sharing) DMOs have very different processes in place. There are organizations that collect but do not extensively analyze data, while others are still not so keen on sharing their data with the whole destination ecosystem. Furthermore, organizations’ decision-making processes appear to be based to some extent on data, especially when it comes to (digital) marketing initiatives and campaigns, although behaviors are quite different also in this area. Destination managers might benefit from this paper as the study shows how to investigate data-related practices of an organization. This type of analysis could allow an assessment of the situation and an understanding of the direction in which the organization might move forward.