bluuebunny/crossref_metadata_2025 huggingface dataset:
Recommended practices for the open publication of epidemiological research data and reports
Authors: Ferrer Peñaranda Lucio Arnulfo , Castro Llaja Lindomira , Ferrer Mejía Mercedes Lulilea , Díaz Tavera Zoila Rosa , Ramirez Wong Fernando Martin , Velarde Dávila Leonardo , Dávila Morán Roberto Carlos
Published: October 2023

Introduction: epidemiology plays a fundamental role in public health by providing evidence for decision making. However, the lack of access to data limits the evaluation and replicability of epidemiological studies.Objective: establish recommended practices for the open publication of epidemiological research data and reports, in order to maximize their value and accessibility.Method: a systematic review of open publication guidelines was conducted. Good practices were identified in the stages of collection, storage, publication and dissemination of epidemiological information.Results: consensus was found on the importance of using standardized instruments, documenting metadata, storing data in repositories with open licenses, assigning digital identifiers and publishing in open access journals.Conclusions: the adoption of these recommended practices will substantially improve the quality, replicability and use of epidemiological research. This will strengthen transparency, scientific collaboration and evidence-based decision making
Delirium identification among older adults hospitalized while incarcerated
Authors: Kaiksow Farah Acher , Quadir Mustafa , Gilmore-Bykovskyi Andrea , Rapport Kaelin , Yan Yonghe , LoConte Noelle K , Eason John , Golden Blair P , Burns Marguerite
Published: October 2023

Background

The rapidly growing population of older incarcerated patients is at increased risk of hospital-associated delirium as they have a high prevalence of comorbidities and face the unique process of accelerated aging.

Objective

Our goal is to provide the first data available on identification of delirium via ICD-10 codes in this marginalized group; appropriate use of these codes communicates information across health systems and between clinicians.

Methods

We examined 5,134 admissions of incarcerated patients over a 10-year period.

Results

Delirium was coded in 0.4%, significantly less than in the non-incarcerated population. Those diagnosed with delirium were six times more likely to have previously been identified as cognitively impaired via ICD-10 codes.

Conclusion

Incarcerated patients experience incarceration-specific care processes that increase their risk of delirium, suggesting that the rate we found is a severe underestimation. This data supports future studies aimed at assessing the true rate of and risk factors for delirium in this underserved population.
Wolfgang Herrndorf’un Yokuş Aşağı (Tschick) Romanı Örneğinde Genç Figürlerin Toplumsallaşma Süreci
Authors: ATİK Oktay
Published: October 2023

Gençlik dönemi, fiziksel, psikolojik ve sosyal değişimlerin yaşandığı bir dönemdir. Bu süre zarfında gençler kimliklerini geliştirmekte, başkalarıyla ilişkilerini keşfetmekte ve yetişkinliğe hazırlanmaktadır. Gençlik dönemini anlayabilmek, psikolojik ve sosyolojik perspektifleri birleştiren disiplinler arası bir yaklaşım gerektirmektedir ve bu bağlamda bir dizi farklı kuramsal yaklaşım söz konusudur. Psikolojik yaklaşımlar bireye odaklanırken, sosyolojik yaklaşımlar sosyal yapıya odaklanır. Klaus Hurrelmann'ın toplumsallaşma kuramı, gençliği ‘üretken bir gerçeklik işleme’ süreci olarak görerek bu iki yaklaşımı bütünleştirmeye çalışır. Bu çalışma, Hurrelmann'ın bu yaklaşımında belirlediği on maddeyi yol gösterici ilkeler olarak kabul etmekte, Wolfgang Herrndorf’un gençlik romanı Yokuş Aşağı (Tschick)’in genç figürleri Maik ve Çik (Tschick)’in psikolojik ve sosyolojik entegrasyonunu keşfetmeyi amaçlamaktadır.
Supporting Informed Choices about Browser Cookies: The Impact of Personalised Cookie Banners
Authors: Biselli Tom , Utz Laura , Reuter Christian
Published: October 2023

Browser cookies, especially those from third parties, pose a threat to individual privacy. While it is possible in principle to control the number of cookies accepted, this choice is often neither usable nor truly informed. To address this issue, this study used semi-structured interviews (N=19) to identify attitudes and user requirements to develop an alternative personalised cookie banner, which was evaluated in an online experiment (N=157). The cookie banner explanations were tailored to the privacy knowledge of three groups of users: low, medium and high. The online experiment measured cookie choices and perceived usability of the cookie banner across three groups: an experimental group that viewed the novel cookie banner with personalisation (personalised privacy assistant), a control group that viewed the novel cookie banner without personalisation (privacy assistant) and a control group that viewed the standard cookie banner provided by the website. The results indicate that the novel cookie banner (with or without personalisation) generally resulted in significantly fewer accepted cookies and increased usability compared to the standard cookie window. In addition, the personalised cookie banner resulted in significantly fewer accepted cookies and higher usability than the non-personalised cookie banner. These results suggest that tailoring cookie banners to users' privacy knowledge can be an effective approach to empowering users to make informed choices and better protect their privacy.
Why Privacy-Preserving Protocols Are Sometimes Not Enough: A Case Study of the Brisbane Toll Collection Infrastructure
Authors: Adavoudi Jolfaei Amirhossein , Rupp Andy , Schiffner Stefan , Engel Thomas
Published: October 2023

The use of Electronic Toll Collection (ETC) systems is on the rise, as these systems have a significant impact on reducing operational costs. Toll service providers (TSPs) access various information, including drivers' IDs and monthly toll fees, to bill drivers. While this is legitimate, such information could be misused for other purposes violating drivers' privacy, most prominent, to infer drivers' movement patterns. To this end, privacy-preserving ETC (PPETC) schemes have been designed to minimize the amount of information leaked while still allowing drivers to be charged. We demonstrate that merely applying such PPETC schemes to current ETC infrastructures may not ensure privacy. This is due to the (inevitable) minimal information leakage, such as monthly toll fees, which can potentially result in a privacy breach when combined with additional background information, such as road maps and statistical data. To show this, we provide a counterexample using the case study of Brisbane's ETC system. We present two attacks: the first, being a variant of the presence disclosure attack, tries to disclose the toll stations visited by a driver during a billing period as well as the frequency of visits. The second, being a stronger attack, aims to discover cycles of toll stations (e.g., the ones passed during a commute from home to work and back) and their frequencies. We evaluate the success rates of our attacks using real parameters and statistics from Brisbane's ETC system. In one scenario, the success rate of our toll station disclosure attack can be as high as 94%. This scenario affects about 61% of drivers. In the same scenario, our cycle disclosure attack can achieve a success rate of 51%. It is remarkable that these high success rates can be achieved by only using minimal information as input, which is, e.g., available to a driver's payment service provider or bank, and by following very simple attack strategies without exploiting optimizations. As a further contribution, we analyze how the choice of various parameters, such as the set of toll rates, the number of toll stations, and the billing period length, impact a driver's privacy level regarding our attacks.
Opted Out, Yet Tracked: Are Regulations Enough to Protect Your Privacy?
Authors: Liu Zengrui , Iqbal Umar , Saxena Nitesh
Published: October 2023

Data protection regulations, such as GDPR and CCPA, require websites and embedded third-parties, especially advertisers, to seek user consent before they can collect and process user data. Only when the users opt in, should these entities collect, process, and share user data. Websites typically incorporate Consent Management Platforms (CMPs), such as OneTrust and CookieBot, to solicit and convey user consent to the embedded advertisers, with the expectation that the consent will be respected. However, neither the websites nor the regulators currently have any mechanism to audit advertisers' compliance with the user consent, i.e., to determine if advertisers indeed do not collect, process, and share user data when the user opts out.

In this paper, we propose an auditing framework that leverages advertisers' bidding behavior to empirically assess the violations of data protection regulations. Using our framework, we conduct a measurement study to evaluate four of the most widely deployed CMPs, i.e., Didomi, Quantcast, OneTrust, and CookieBot, as well as advertiser-offered opt-out controls, i.e., National Advertising Initiative's opt-out, under GDPR and CCPA. Our results indicate that in many cases user data is unfortunately still being collected, processed, and shared even when users opt-out. We also find that some CMPs are better than the others at conveying user consent and that several ad platforms ignore user consent. Our results also indicate that advertiser-offered opt-out are equally ineffective at protecting user privacy.
CoStricTor: Collaborative HTTP Strict Transport Security in Tor Browser
Authors: Davitt Killian , Ristea Dan , Russell Duncan , Murdoch Steven J.
Published: October 2023

HTTP Strict Transport Security (HSTS) is a widely-deployed security feature in modern web browsing. It is also, however, a potential vector for user tracking and surveillance. Tor Browser, a web browser primarily concerned with online anonymity, disables HSTS as a result of this tracking potential. We present the CoStricTor protocol which crowdsources HSTS data among Tor Browser clients. It gives Tor Browser users increased resistance to man-in-the-middle attacks without exposing them to HSTS tracking. Our protocol adapts other privacy-preserving data aggregation algorithms to share data effectively among users with strong local differential privacy guarantees. The CoStricTor protocol resists denial of service attacks by design through our innovative use of Bloom filters to represent complementary data. Our simulations show our protocol can model up to 150,000 websites, providing 10,000 upgrades to HSTS for users.
On the Quality of Privacy Policy Documents of Virtual Personal Assistant Applications
Authors: Yan Chuan , Xie Fuman , Meng Mark Huasong , Zhang Yanjun , Bai Guangdong
Published: October 2023

An app ecosystem built around virtual personal assistant (VPA) services becomes flourishing in recent years, fueled by the booming of the Internet of Things (IoT). A large number of functionality-rich VPA applications (or apps for short) have been released through app stores, and become easily-accessible by users through their smart speakers. In response to the increasingly stringent data protection regulations around the world, VPA service providers require app developers to include a privacy policy that declares their data handling practices. These privacy policies serve as the de facto agreement between developers and users, and may be taken as the basis in resolving conflicts in the event of a data breach. Therefore, it is essential that privacy policy documents are crafted in a clear, easy-to-understand, and unambiguous way. In this work, we conduct the first systematic study on the quality of privacy policies in the VPA app domain. Based on our review of literature and documents from standard working groups, we identify four metrics that enable the quality of the privacy policy to become measurable, including timeliness, availability, completeness and readability. We then develop QuPer, which extracts the meta features (e.g., update history) and linguistic features (e.g., sentence semantics) from privacy policies, and assesses their quality. Our analysis reveals that the status of the quality of privacy policies in the VPA app domain is concerning. For instance, only 1.17% of privacy policies completely cover all contents that are regarded as privacy concerns by legislation (e.g., GDPR article 13) and relevant literature. Our findings are expected to raise an alert among the VPA app developers and provide them with guidelines for creating high-quality privacy policy documents. We also encourage app store operators to implement a vetting process that ensures the quality of privacy policies before apps are released to the public.
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
Authors: Kaplan Caelin , Xu Chuan , Marfoq Othmane , Neglia Giovanni , Santana de Oliveira Anderson
Published: October 2023

Within the realm of privacy-preserving machine learning, empirical privacy defenses have been proposed as a solution to achieve satisfactory levels of training data privacy without a significant drop in model utility. Most existing defenses against membership inference attacks assume access to reference data, defined as an additional dataset coming from the same (or a similar) underlying distribution as training data. Despite the common use of reference data, previous works are notably reticent about defining and evaluating reference data privacy. As gains in model utility and/or training data privacy may come at the expense of reference data privacy, it is essential that all three aspects are duly considered. In this paper, we conduct the first comprehensive analysis of empirical privacy defenses. First, we examine the availability of reference data and its privacy treatment in previous works and demonstrate its necessity for fairly comparing defenses. Second, we propose a baseline defense that enables the utility-privacy tradeoff with respect to both training and reference data to be easily understood. Our method is formulated as an empirical risk minimization with a constraint on the generalization error, which, in practice, can be evaluated as a weighted empirical risk minimization (WERM) over the training and reference datasets. Although we conceived of WERM as a simple baseline, our experiments show that, surprisingly, it outperforms the most well-studied and current state-of-the-art empirical privacy defenses using reference data for nearly all relative privacy levels of reference and training data. Our investigation also reveals that these existing methods are unable to trade off reference data privacy for model utility and/or training data privacy, and thus fail to operate outside of the high reference data privacy case. Overall, our work highlights the need for a proper evaluation of the triad model utility / training data privacy / reference data privacy when comparing privacy defenses.
The Structure of the Text Model of the Stichera Come, Let Us Thank Joseph
Authors:   M. I. Glinka Novosibirsk State Conservatory, Goncharenko Svetlana S.
Published: October 2023

The relevance of the topic is stipulated by the intensive development of the theory of textual-musical forms in modern Russian musicology. The novelty of the research is determined by the method of analysis of archaic text models by applying the principle of symmetry. In the article the unique composition of the verbal text in the masterpieces of the early Russian monophonic chants, the origins of which go back to the Byzantine tradition of the 7th and 8th centuries AD, is examined for the first time. The repetitive identical syntactical constructions — the elements unconnected to the plot — are combined into a complex polytextual structure. The stichera Come, Let Us Thank Joseph is based on the interaction of plot and non-plot elements. The rhythm of the form in its line composition of end-to-end development is created by the periodic symmetry of threefold repetition. The group of small texts representing the direct speech of the characters: Joseph, Mary, and Simeon the God-Receiver is embedded in the “large text”: the call to prayer and the prayer of believers. The author of the article describes it with a mathematical formula, and offers a geometric analogue in the form of a gnomon — a figure suggested by Greek mathematician Heron of Alexandria in the second half of the 1st century AD. The archaic text code of the stichera has traversed from century to century and acquired a modern sound due to the expressive means corresponding to the musical stylistic system of the epoch. The polished text models provide canonical ritual chants with centuries-old functioning in the form of the variant multitude of musical compositions.
Faktor-Faktor Yang Mempengaruhi Kualitas Pelayanan Terhadap Kepuasan Konsumen (Studi Kasus: KFC Mall Panakkukang Kota Makassar Sulawesi Selatan
Authors: Nursamsi Nursamsi , Nur Nur Eni , Mansur Mansur
Published: October 2023

Industri layanan makanan cepat saji telah berkembang pesat di seluruh Indonesia. Sejalan dengan meningkatnya tingkat konsumsi di dalam negeri, pelanggan di Indonesia semakin peduli tentang pilihan makanan mereka. Semakin banyaknya industri makanan cepat saji dan selektivitas pelanggan membuat persaingan industri makanan cepat saji menjadi semakin ketat. Untuk memenangkan persaingan, industri fast food harus memiliki keunggulan yang tercermin salah satunya dari atribut kualitas pelayanan. Tujuan penelitian ini dilakukan untuk mengetahui faktor faktor apa yang mempengaruhi kualitas pelayanan di KFC Mall Panakkukang Kota Makassar, Sulawesi Selatan, Indonesia. Jenis penelitian yang digunakan adalah metode kuantitatif dengan jenis eksplorasi korelasional. Sampel yang digunakan sebanyak 100 responden. Pengambilan data menggunakan metode survey kuisioner sedangkan analisis data menggunakan analisis korelasi rank spearman. Hasil dalam penelitian ini mengungkapkan bahwa faktor yang paling berpengaruh adalah variabel tangible dengan nilai korelasi 0,504. Namun secara keseluruhan semua variabel kualitas pelayanan  berpengaruh signifikan terhadap konsumen konsumen Kentucky Fried Chicken (KFC) di Mall Panakkukang Kota Makassar, Sulawesi Selatan, Indonesia.Kata Kunci : Kualitas Pelayanan, Kepuasan Konsumen, KFC
Integration of bioagent, Bacillus subtilis Bbv57 and fungicides for the management of foliar diseases of groundnut (Arachis hypogaea L.)
Authors: B MEENA
Published: October 2023

Groundnut or Peanut (Arachis hypogaea L.) is a major oilseed crop widely grown in major tropical and sub-tropical regions oftheworld. Disease occurrence pose a majorthreat in groundnut cultivation. Among the biotic stresses, foliar fungal diseases viz., early leaf spot (ELS) caused by Cercospora arachidicola Hori, late leaf spot (LLS) caused by Phaeoisariopsis personata (Berk. & Curt.) V.Arx (=Mycosphaerella berkeleyi Jenkins) and rust caused by Puccinia arachidis Speg. are the most widely distributed and economically important diseases of groundnut and account for more than 50% yield loss. Field experiments were conducted during kharif 2021 and rabi/summer 2021-22 for the management of foliar diseases in groundnut using bioagent, Bacillus subtilis Bbv57talc formulation and fungicides. The results ofthe field experiment conducted during kharif 2021 revealed that seed treatment with Bacillus subtilis Bbv57 talc formulation @ 10 g/kg seed followed by foliar spray of Tebuconazole 50% + Trifloxystrobin 25% @ 1 g/l at 40 and 60 DAS was effective in managing the foliar diseases of groundnut with the late leaf spot (20.9 PDI) and rust (12.3 PDI) as compared to control which recorded late leaf spot of 71.4 PDI and rust of 52.1 PDI respectively. The maximum pod yield of 2361 kg/ha and haulm yield of 2764 kg/ha were observed in the effective treatment; whereas minimum pod yield of 1836 kg/ha and haulm yield of 1984 kg/ha were observed in the control. Similar trend was observed during rabi/summer 2021-22.
Evaluation of biorational insecticides against capsule borers, Helicoverpa armigera and Heliothis peltigera (Lepidoptera: Noctuidae) on safflower
Authors: ASLAM  , M SHANKARA MURTHY  , A PRABHURAJ  , N M SUNILKUMAR  , SHIVALEELA  , B KISAN  , P MAHESWARA REDDY
Published: October 2023

Safflower capsule borers, Helicoverpa armigera (Hübner) and Heliothis peltigera (Denis and Schiffmüller) (Lepidoptera: Noctuidae) were considered as economically important pests of safflower. The present study was undertaken to evaluate the biorational insecticides (chlorantraniliprole 18.5 SC @ 0.15 ml/l, Beauveria bassiana @ 4.0 g/l, Metarhizium rileyi @ 4.0 g/l, commercial B.t. (Dipel) @ 2.0 ml/l, commercial neem product 1500 ppm @ 2.0 ml/l and indoxacarb 15 EC @ 0.3 ml/l) against these pests on safflower during rabi 2020-21 at Krishi Vigyan Kendra, Bidar, Karnataka, India. The results indicated that all the treatments were superior over untreated check in reducing the capsule borers population. Among the tested products, chlorantraniliprole was found to be effective in suppression ofthe capsule borers, recorded lower population (0.11 larvae per plant) with higher yield (10.47 q/ha) and benefit cost ratio (1.96), followed by indoxacarb and commercial B.t. product, recorded 0.20 and 0.23 larvae/plant, 9.44 q/ha and 8.75 q/ha and benefit cost ratio of 1.82 and 1.63, respectively.
Transformational Leadership Mediates the Relationship Between Employee Engagement and Performance in Production Media
Authors: Marshoudi Fahad Batti , Jamaluddin Zaharuzaman , Al Balushi Faisal Ibrahim
Published: October 2023

The impact of leadership styles (LS) on employee performance (EP) and growth is profound, especially regarding engagement. This study delves into the type of leadership and its role in bridging the gap between employee involvement and accomplishments within the production media sector in Oman, specifically in audio and video production. This descriptive research seeks to discern patterns that can predict specific outcomes. The focus is mainly on employees who do not hold managerial roles in the Omani production media industry. For this study, data was collected from an estimated 312 participants. The PLS-SEM technique was the tool of choice to dissect the connections between the variables at play. Impressively, the outcomes validated all the presented hypotheses. On an academic level, this research contributes to the broader understanding of employee efficiency. It provides tangible evidence that could be pivotal for enhancing the productivity of Oman's production media sector. In a broader sense, the research's methodology offers a blueprint that can be adapted by tweaking the variables to analyze and boost EP and achievement in various settings.
Human Development Index As An Effort To Increase Economic Growth
Authors: Nurfarkhana Anna , Priadana Sidik
Published: October 2023

Human development is the primary goal of the political, social, and economic process for a country. The concept of human development is in line with the concept of human capital. The reasons why human development needs attention are: first, many developing countries including Indonesia have succeeded in achieving economic growth, but have failed to reduce socio-economic inequality and poverty. Second, many developed countries that have high-income levels have not succeeded in reducing social problems. Third, some low-income countries can achieve high levels of human development because they can use all resources wisely to develop basic human abilities. Economic growth is more than just an increase in income and more than just the process of commodity production and capital accumulation. The analytical approach used in this research is quantitative data analysis. The entire data processing and analysis process in this study was carried out with the help of the computer program eViews 10 for Windows. There is a positive and significant influence of the variables of Education Expenditure, Health Expenditure, and Community Income simultaneously on the Human Development Index in Regencies/Cities in Central Java Province. Where the three independent variables are variables that make up the Human Development Index in the Regency/City in Central Java Province. There is a positive and significant influence of each variable of Education Expenditure, Health Expenditure, and Community Income on the Human Development Index in Regencies/Cities in Central Java Province. The variable with the largest influence on the Human Development Index is the Community Income variable, while the variable with the smallest effect on the Human Development Index is Health Expenditure.
Review of Literature on Effectiveness of Cognitive Rehabilitation on Alzheimer’s Disease and Mild Cognitive Impairment
Authors: UYSAL CANTÜRK Pınar , AKÇAM Ceren
Published: October 2023

Alzheimer's disease (AD) and mild cognitive impairment (MCI) have taken their place among the most common neurodegenerative diseases by affecting countless people around the world. Mild cognitive impairment can be defined as the earliest stage of deterioration in the cognitive functions. While impairment in more than one cognitive domain can be seen in MCI, it is seen that individuals can show some level of functionality in daily life. Also, Alzheimer's and MCI cause degeneration in some parts of the brain (parietal lobe, frontal lobe, temporal lobe), and disease is progressed, shrinkage may occur in some brain regions. Thus, a series of intervention techniques have been introduced to improve the daily living activities of individuals diagnosed with Alzheimer's and MCI. Cognitive rehabilitation is an individualized process that focuses on improving daily living activities. Furthermore, the effectiveness of cognitive rehabilitation on Alzheimer's disease and MCI in numerous cognitive domains is proven by different researchers. Different researchers prove that different cognitive rehabilitation programs are effectively improving the cognitive, social, and psychological domains of individuals' lives. Therefore, this literature review aims to examine the effectiveness of cognitive rehabilitation programs applied after 2015 to individuals with Alzheimer's and MCI and to compile the examined findings.
Göz Ardı Edilmiş Bir Konu: Süpervizör Yetkinliği ve Süpervizörlük Eğitimi Üzerine KısaTanımlayıcı Bir Derleme Çalışması
Authors: SARISOY AKSÜT Gizem
Published: October 2023

Süpervizyon terapi eğitiminde çok önemli bir yere sahiptir. Terapist olmak için öğrenciler sıkı bir şekilde yapılandırılmış teorik eğitim süreçlerinden geçtikten sonra süpervizyon altında danışan görmeye başlamaktadır. Terapistlerin yetkinliği için çok önemli bir yere sahip olan süpervizyon sürecinde, süpervizörün yetkinliği son yıllara kadar göz ardı edilmiş bir konu olarak karşımıza çıkmaktadır. Geleneksel yaklaşımda terapistlerin belli bir süre deneyimden sonra terapiden öğrendikleri bilgi ve becerileri süpervizör olmak için adapte edebilecekleri varsayımı hakimken, alandaki süpervizörlerin yetkinlik düzeylerini ve kötü uygulama sıklıklarını raporlayan çalışmalar süpervizör olabilmek için de belirli bir eğitimin gerekli olduğuna dikkat çekmeye başlamıştır. Bu durum Amerikan Psikologlar Birliğini bu konuda harekete geçirmiş ve dernek 2014 yılında “Sağlık Hizmeti Veren Psikologlar için Klinik Süpervizyon El Kitabını” hazırlamıştır. Bu gelişme ile birlikte süpervizyonun ayrı beceriler gerektiren, terapistlikten farklı bir beceri olduğu görüşü daha geniş kitlelerce kabul görmeye başlamış ve süpervizörlük eğitimleri yaygınlaşmaya başlamıştır. Bu derleme makalesinde süpervizörlüğün önemi, konunun tarihsel gelişimi, süpervizörlüğü terapistlikten ayıran özellikler, süpervizörlük eğitimine dair mevcut tartışmalar, ve süpervizör gelişim modellerine yer verilmiştir.
Determining a subset of discrete emotion-evoking images from the international affective picture system in a Turkish sample
Authors: Doğan Dilara , Cangöz Tavat Banu
Published: October 2023

The International Affective Picture System (IAPS), widely utilized in emotion research, is based on a dimensional approach. It includes 1196 colored static images depicting different semantic categories, with valence, arousal, and dominance ratings determined for each. However, the specific discrete emotions evoked by these images within the IAPS has remained unclear. Therefore, numerous investigations have been conducted in different cultural contexts to address this matter. This study aimed to determine a subset of images from the IAPS that elicit discrete emotions. To achieve this goal, an image was selected for each semantic category within the IAPS, employing specific criteria, and the elicited discrete emotions were subsequently examined in a Turkish sample. Additionally, valence ratings for these images were obtained within the Turkish culture, facilitating cross-cultural comparisons. Sixty Turkish students (43 female) aged between 19-25 participated in this study. The participants rated the valence, discrete emotion category, and the intensity of the determined discrete emotion (1 = none; 9 = very strongly) for 231 selected images from the IAPS, respectively. Valence ratings were obtained using the paper-pencil version of the Self-Assessment Manikin. Accordingly, 76 images, of which intensity ratings above six were classified into a single discrete emotion with the agreement of 70% and above among the participants. Furthermore, the obtained data were compared with the results of studies conducted in different cultural settings to explore potential cultural differences. Overall, the results highlighted the importance of selecting culture-specific stimuli in emotion studies.
Persepsi Guru Terhadap Implementasi Kurikulum Merdeka Belajar Di SMK Negeri 1 Solok
Authors: Rahmi Miftahul , Setiawati Merika , Basyirun Fajri , Irawan Hendri
Published: October 2023

Penelitian ini bertujuan untuk memperoleh informasi mengenai persepsi guru dalam implementasi kurikulum merdeka belajar di SMK Negeri 1 Solok. Penelitian ini dilaksanakan di SMK Negeri 1 Solok pada bulan Pebruari sampai April tahun 2023. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan pendekatan deskriptif. Populasi dalam penelitian ini adalah guru yang mengajar di kelas X SMK Negeri 1 Solok dengan teknik pengambilan sampel yaitu sampel jenuh yang berarti semua anggota populasi digunakan sebagai sampel sebanyak 60 orang guru. Instrument dalam penelitian ini adalah lembaran angket yang sudah di uji coba. Hasil analisis data menunjukkan bahwa Persepsi Guru dalam Implementasi Kurikulum Merdeka Belajar dalam kriteria sangat baik dengan persentase sebesar 83%, hal ini berarti implementasi kurikulum merdeka belajar di SMK Negeri 1 Solok menurut seluruh guru yang mengajar di kelas X bahwa kurikulum merdeka belajar di SMK negeri 1 Solok sudah diimplementasikan dengan sangat baik.
Evaluasi Kebijakan Fitur Quick Response Code Indonesian Standard (QRIS) Di Kantor Perwakilan Bank Indonesia Provinsi Maluku
Authors: Annisa Nurul , Rahawarin Mohamad Arsad , Pattimukay Hengky Virgo Richardo
Published: October 2023

Penelitian ini bertujuan untuk mengetahui evaluasi kebijakan QRIS (Quick Response Code Indonesian Standard) dalam upaya mendorong digitalisasi Sistem Pembayaran di Provinsi Maluku. Dengan banyaknya keunggulan QRIS penggunaan QRIS tersebut diharapkan dapat meningkatkan kegiatan ekonomi masyarakat berkelanjutan bersamaan dengan pergeseran pola kegiatan ekonomi dari konvensional menjadi digital. Penelitian ini menggunakan pendekatan kualitatif dimana peneliti menggunakan wawancara untuk memperoleh data dari para responden. Polusi penelitian ini dalah pengguna Pegawai BI dan pengawai pada bank – bank komersial serta masyarakat yang menetap di Provinsi Maluku. Variabel pada penelitian ini terdiri dari 6 Variabel yaitu Efektivitas, Efisiensi, Ketetapan, Kecukupan, Pemerataan, dan Responsivitas. Berdasarkan analisis data dihasilkan bahwa evaluasi kebijakan memiliki pengaruh positif dalam mendorong digitalisasi system pembayaran di Provinsi Maluku secara persial. Dan fitur QRIS tersebut sangat membantu system pembayaran secara non tunai dengan mudah.
Analyses of Musical Success based on Time, Genre and Collaboration
Authors: Oliveira Gabriel P. , Lacerda Anisio , Moro Mirella M.
Published: October 2023

Music holds a significant position in global culture, as it is one of the world's most important and dynamic cultural forms. With the vast amount of music-related data available on the Web, new opportunities emerge for extracting knowledge and benefiting different music segments. In this work, we perform a data-driven analysis to investigate musical success from a genre-oriented perspective. Specifically, we model both artist and genre success timelines to detect and predict continuous periods with higher impact. We also build success-based genre collaboration networks to detect collaboration profiles directly related to success. Furthermore, we use data mining techniques to uncover exceptional genre patterns in the networks where the success deviates from the average. Our findings show that studying genre collaboration is a powerful way to assess musical success by describing similar behaviors within collaborative songs. Overall, our work contributes to both the academy and the music industry, as we shed light on the underlying factors of the science behind musical success.
MoreData: Enriquecimento Semântico para Grandes Volumes de Dados Geolocalizados
Authors: dos Santos Germano B. , Figueiredo Leonardo J. A. S. , Silva Fabrício A. , Loureiro Antonio A. F.
Published: October 2023

O volume da coleta e disponibilização de dados geolocalizados aumentou significativamente nos últimos anos. Este tipo de dado pode ser utilizado para enriquecer bases em diferentes contextos para extrair novas informações e potencializar resultados de diversas pesquisas. Contudo, o dado geolocalizado bruto na maioria dos casos não possui relevância semântica e a tarefa de enriquecimento com este tipo de dado pode ser bastante dispendiosa. Nesse contexto, ferramentas que facilitam tal tarefa, como o MoreData, são fundamentais para diminuir o tempo gasto e permitir que os recursos sejam melhor alocados em outras etapas, como a criação de modelos. Entretanto, em sua primeira versão o MoreData não foi preparado para receber grandes volumes de dados de maneira eficiente. Assim, o trabalho atual apresenta uma atualização do MoreData para enriquecer bases com milhões de dados. Com essa atualização foi possível tornar o MoreData cerca de 2.500 vezes mais rápido e utilizá-lo para grandes volumes de dados.
Análise da Variação da Coesão do Discurso sobre a COVID-19 em Mídia Social
Authors: Gonçalves João Matheus N. , Oliveira Jonice , Porto Fabio , França Tiago C.
Published: October 2023

Durante o curso de eventos extremos, como a pandemia de COVID-19, um grande volume de publicações acerca do tema tende a ocorrer em mídias sociais. O público relata e opina sobre o evento e também subeventos, levando a uma variação do discurso ao longo do tempo, que necessita de soluções computacionais para sua análise, devido sobretudo ao volume de dados e duração do período analisado. Neste trabalho, aplicamos o método VERSATILE, para análise de coesão textual ao longo do tempo, numa base com um grande volume de tuítes em português publicados no primeiro semestre da pandemia. Foi possível correlacionar as variações de coesão textual com os subeventos relacionados à COVID-19 no Brasil e no mundo, além de compreender melhor as métricas utilizadas para a análise.
Precipitation Nowcasting using Data Augmentation
Authors: Bezerra Eduardo , Fonseca Augusto , Cabo Adriano , Porto Fabio , Ferro Mariza
Published: October 2023

This paper proposes a simple data augmentation technique specifically designed to mitigate the data unbalancing problem in precipitation nowcasting. We consider the existence of one or more observational systems, each one comprised of a set of (either weather or rain gauge) stations. We use simulated data coming from the ERA5 numerical model to complement precipitation observations made by rain gauge stations, and use the resulting synthetic observations to augment data for a given weather station. We present preliminary results training a machine learning model using this data augmentation technique. These results show that the technique can be useful to improve the predictive performance of the resulting forecasting model.
Urban trees in the Metropolitan Region of São Paulo: A study of Geodesign and ecosystem services
Authors: Fruehauf Amanda , Afonso Sandre Adriana , Lombardo Magda , Renato Mesquita Pellegrino Paulo
Published: October 2023

The Metropolitan Region of São Paulo has been presenting a scenario of high urbanization, with an increase of impermeable surfaces and verticalization to the detriment of green areas, especially urban afforestation. These scenarios contribute to the extremes of temperature and the presence of urban heat islands, especially in the more densely populated and built-up areas, where the temperature is higher than the surrounding areas that have vegetation, especially urban forestation, promoting ecosystem services such as temperature cooling. Thus, this work aimed to use Geographical Information Systems and Geodesign framework with the use of the GISColab platform, in order to study urban afforestation, as an urban forest in the study area and with specific examples, aiming at the city’s socio-environmental quality. Thus, the work aims to seek nature-based solutions, such as increasing urban afforestation, in order to promote socio-environmental quality for MRSP.
Situating Self-Learning Video Materials Within the Paradigm of the ARCS Model: A Hands-on Experience
Authors: Chatterjee Arnab
Published: October 2023

The ARCS Model of learner motivation looks into the various parameters that foster learning. In this paper, I strive to show how a proper implementation of this model and its various pedagogical ramifications can be profitably applied while shooting video SLMs or self-learning materials for ODL/OL learners. I argue that the strategies inherent in the making of video self-learning materials can be embedded within the conceptual grid of the said model. This is based on a real, hands-on experience while shooting videos for an English undergraduate course for ODL/OL learners. Any topic for the learners had three videos—a trailer that was a quick introduction to the subject matter, a slightly longer video that enumerated the sub-topics within the topic, and the main video that explained the subject matter in greater detail, with the inclusion of power point. It was increasingly felt that such a tri-partite division would foster greater learner participation and involvement instead of a single, long video that is likely to disrupt learner participation in this teaching-learning paradigm. Thus, the ARCS Model’s applicability is extended to the realm of video SLMs that are likely to result in the percolation of the target subject matter deep within the learners.
Potato Genomics, Transcriptomics, and miRNomics under Abiotic Stressors
Authors: Abdurrahman Şanlı Beyazıt , Neslihan Öztürk Zahide , Gencer Orkun
Published: October 2023

Potato (Solanum tuberosum L.) is one of the essential non-cereal crops with noticeably greater production and consumption rates across the world. Because of the diverse range of utilization of nutritious tubers, potatoes can be used as an alternative food to address regional, national, and global food security issues compromised by global climate change. Since potato yield and quality are dramatically affected by abiotic stress conditions, the development of potato plants showing greater performance after being exposed to individual or combined stress treatments has become intriguing for the past decade. In this book chapter, recent studies and/or approaches associated with potato genomics, transcriptomics, and identification of miRNAs are summarized to discuss the response of potatoes to abiotic stress factors in different regulatory levels. Such a summary should encompass the importance and identification of factors for the development of potato plants under current and potential exacerbating effects caused by abiotic stress.
Russia's Attack on Ukraine: Epistemologies at War
Authors: J. Leaf Murray
Published: October 2023

This chapter focuses on two distinctions: between ideology and empiricism and between authoritarianism and liberal democracy. It describes how they are related. It traces the development of this relationship from the American Federalist Papers through the New Deal to the Marshall Plan for European reconstruction and development of the EU. It relates this to the Soviet refusal to participate in the Marshall Plan, the ensuing Cold War, Russia’s attack on Ukraine, and the conflict between Russian authoritarianism and the EU. It considers how Russian authoritarianism can be ended.
Seed production and handling of two important conifers grown in Kenya
Authors: Murithi Angaine Peter , Adongo Onyango Alice , Owino Jesse
Published: October 2023

Pinus patula and Cupressus lusitanica are key commercial forestry plantation species introduced in Kenya. There are many uses for these species in industry creating a huge demand for their products. The demand has caused increased plantation establishment with seed as the major source of propagule. The many developments in the forestry sector have led to the need for low energy rapid extraction technique that improve seed quantity and quality from the available sources. There have been developments in improving extraction and quality which offer an opportunity for better seed collection and handling techniques for these conifers. This chapter will focus on improvement of seed production and handling of the two conifers that aids in the design of low energy-intensive methods that reduce the duration for extraction, optimize seed yield and enhance seed quality.
Gastric Cancer in the Next-Generation Sequencing Era: Diagnostic and Therapeutic Strategies
Authors: Machlowska Julita , Maciejewski Ryszard
Published: October 2023

Gastric cancer (GC) is one of the most common malignancies and the fourth major cause of cancer-related deaths worldwide. There is growing interest in the role of genetic and epigenetic changes in the development of the disease. Next-generation sequencing (NGS) studies have identified candidate cancer-driving genes in the GC. Whole transcriptome sequencing and whole-genome sequencing analysis is also important methodology in discovering novel changes in GC. Importantly, cancer epigenetics has opened the way to reveal cancer-related genes in epigenetic machinery, including DNA methylation, nucleosome positioning, noncoding RNAs, and microRNAs, as well as histone modifications. The latest molecular research on GC may be a new diagnostic and therapeutic strategy in clinical practice. In this review, we will focus on recent advances in the description of the molecular pathogenesis of gastric cancer, underlying the use of these genetic and epigenetic alterations as diagnostic biomarkers and novel therapeutic targets.
i-Biomarker - Multi Cancer Early Detection as a Data Science with AI Problem
Authors: Floares Alexandro , Zety Adrian , Floares Carmen , Kreutz Eduardo , Calin George , Manolache Florin
Published: October 2023

Cancer is one of the most common and deadly diseases worldwide, claiming millions of lives yearly. Despite significant advances in treatment, the overall survival rate remains low, primarily due to late-stage diagnosis. In the high-throughput, high-dimensional omics data era, Biomedical Knowledge should be combined with Data Science best practices for real progress toward precision and personalized medicine. We intuitively and non-technically formulated the main problems or traps and suggested solutions. To illustrate them, we used our Biomedical Data Science platform, i-Biomarker, and its application to circulating miRNA for personalized Multi-Cancer Early Detection and treatment response monitoring, i-Biomarker CaDx. i-Biomarker combines and automates bioinformatics and Explainable AI/ML pipelines. i-Biomarker CaDx works on 32 types of cancer with 99–100% accuracy and is based on more than 30,000 cases.
Augmented reality application areas for the architecture, engineering, and construction industry
Authors: Rankohi Sara , Rezvani Mahsa , Waugh Lloyd , Lei Zhen
Published: October 2023

Augmented reality (AR) is among the technologies that have the potential to advance the Architecture, Engineering, and Construction (AEC) industry. Yet, studies show that there remain challenges in applying AR in AEC. According to the literature, the use of AR is focused on the construction phase to address performance, supervisory, and safety-related concerns. However, other phases of AEC projects could also benefit from this technology. Accordingly, this chapter provides an application-centric study to assess the state-of-the-art applications areas of AR in the AEC industry. Various applications have been identified as visualization and simulation; in-situ experience; real-time information retrieval; maintenance, inspection, and repair; project documentation; heavy equipment operation; educational training; health and safety; site navigation; and automated measurements. To further explore these application areas, a case study was conducted using the AR solution of Trimble XR10 with HoloLens 2 in a precast construction context. The results show that existing AR technologies and systems for simulation/visualization and construction quality control are still immature. The study highlighted the current use cases, the potential for technology improvements, and the obstacles that hinder the widespread AR implementation in the AEC industry. Considering these factors, further directions and future research paths for innovators are proposed.
Dynamic specific heat and glass transitions
Authors: Kojima Seiji
Published: October 2023

The dynamical properties such as fragility, and non-Debye behavior of glass-forming materials have been studied by the frequency-dependent dynamic specific heat. Kubo’s formula on the fluctuation-dissipation theorem defines dynamic specific heat using the correlation function of enthalpy fluctuations. Dynamic specific heat is important for analyzing and understanding various relaxation processes. The dielectric relaxation is caused only by polar atomic motions, while the enthalpy relaxation is caused by total degrees of freedom of atomic motions. This chapter introduces two experimental methods to measure dynamic specific heat: (1) temperature-modulated differential scanning calorimetry (MDSC) and (2) photoacoustic spectroscopy. The experimental results of the dynamical properties of glass transitions in oxide glasses with covalent bond network structures and hydrogen-bonded glass-forming materials are reviewed.
Anal Cancer Screening: Unveiling its Importance
Authors: Garrido Isabel , Afonso João , Coelho Rosa , Macedo Guilherme
Published: October 2023

Anal dysplasia, a precancerous condition of the anal canal, is increasingly recognized as a significant health concern, particularly among individuals with high-risk factors such as patients living with human immunodeficiency virus, men who have sex with men, a history of anogenital cancer, and immunosuppression. Screening for anal dysplasia has emerged as a critical measure for early detection and treatment, in order to prevent progression to invasive AC. This chapter provides an overview of anal dysplasia screening modalities, including anal cytology and high-resolution anoscopy, while discussing their benefits and limitations. The significance of risk stratification and prevention measures is also emphasized. The potential benefits of anal dysplasia screening in reducing the burden of anal cancer and improving patient outcomes are highlighted, along with the need for further research and comprehensive screening programs to optimize early detection and management of anal dysplasia.