bluuebunny/crossref_metadata_2025 huggingface dataset:
Please Unstalk Me: Understanding Stalking with Bluetooth Trackers and Democratizing Anti-Stalking Protection
Authors: Heinrich Alexander , Würsching Leon , Hollick Matthias
Published: June 2024

While designed to locate lost items, Bluetooth trackers are increasingly exploited for malign purposes, such as unwanted location tracking. This study probes deeper into this issue, focusing on the widespread use of these devices for stalking. Following a dual approach, we analyzed user data from a widely used tracking detection app (over 200,000 active installations) and conducted a comprehensive online survey (N=5,253). Our data analysis reveals a significant prevalence of trackers from major brands such as Apple, Tile, and Samsung. The user data also shows that the app sends about 1,400 alarms daily for unwanted tracking. Survey insights reveal that 44.28% of stalking victims had been subjected to location tracking, with cars emerging as the most common hideout for misused trackers, followed by backpacks and purses. These findings underscore the urgency for more robust solutions. Despite ongoing efforts by manufacturers and researchers, the misuse of Bluetooth trackers remains a significant concern. We advocate for developing more effective tracking detection mechanisms integrated into smartphones by default and creating supportive measures for individuals without smartphone access.
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations
Authors: Wang Hui-Po , Chen Dingfan , Kerkouche Raouf , Fritz Mario
Published: June 2024

Conventional gradient-sharing approaches for federated learning (FL), such as FedAvg, rely on aggregation of local models and often face performance degradation under differential privacy (DP) mechanisms or data heterogeneity, which can be attributed to the inconsistency between the local and global objectives. To address this issue, we propose FedLAP-DP, a novel privacy-preserving approach for FL. Our formulation involves clients synthesizing a small set of samples that approximate local loss landscapes by simulating the gradients of real images within a local region. Acting as loss surrogates, these synthetic samples are aggregated on the server side to uncover the global loss landscape and enable global optimization. Building upon these insights, we offer a new perspective to enforce record-level differential privacy in FL. A formal privacy analysis demonstrates that FedLAP-DP incurs the same privacy costs as typical gradient-sharing schemes while achieving an improved trade-off between privacy and utility. Extensive experiments validate the superiority of our approach across various datasets with highly skewed distributions in both DP and non-DP settings. Beyond the promising performance, our approach presents a faster convergence speed compared to typical gradient-sharing methods and opens up the possibility of trading communication costs for better performance by sending a larger set of synthetic images. The source is available at https://github.com/a514514772/FedLAP-DP.
Connecting the Dots: Tracing Data Endpoints in IoT Devices
Authors: Jakaria Md , Huang Danny Yuxing , Das Anupam
Published: June 2024

Smart home devices are constantly exchanging data with a variety of remote endpoints. This data encompasses diverse information, from device operation and status to sensitive user information like behavioral usage patterns. However, there is a lack of transparency regarding where such data goes and with whom it is potentially shared. This paper investigates the diverse endpoints that smart home Internet-of-Things (IoT) devices contact to better understand and reason about the IoT backend infrastructure, thereby providing insights into potential data privacy risks. We analyze data from 5,413 users and 25,123 IoT devices using the IoT Inspector, an open-source application allowing users to monitor traffic from smart home devices on their networks. First, we develop semi-automated techniques to map remote endpoints to organizations and their business types to shed light on their potential relationships with IoT end products. We discover that IoT devices contact more third or support-party domains than first-party domains. We also see that the distribution of contacted endpoints varies based on the user's location and across vendors manufacturing similar functional devices, where some devices are more exposed to third parties than others. Our analysis also reveals the major organizations providing backend support for IoT smart devices and provides insights into the temporal evolution of cross-border data-sharing practices.
FP-tracer: Fine-grained Browser Fingerprinting Detection via Taint-tracking and Entropy-based Thresholds
Authors: Boussaha Soumaya , Hock Lukas , Bermejo Miguel , Cuevas Rumin Ruben , Cuevas Rumin Angel , Klein David , Johns Martin , Compagna Luca , Antonioli Daniele , Barber Thomas
Published: June 2024

Browser fingerprinting is an effective technique to track web users by building a fingerprint from their browser attributes. It is also stealthy because the tracker uses legitimate JavaScript API calls offered by the browser engine, which can be obfuscated before they are sent to a (third-party) server. Current browser fingerprinting methodologies employ coarse-grained collection and classification techniques, such as binary classification of fingerprinters based on the number of non-obfuscated exfiltrated attributes. As a result, they produce inconsistent findings. Meanwhile, the privacy of millions of web users is at risk daily. We address this gap by presenting FP-tracer, a novel methodology to detect and classify browser fingerprinters based on dynamic taint tracking and joint entropy classification. Our methodology enables detecting first- and third-party fingerprinters even when they use obfuscation by tainting attributes, propagating them, and logging when they are leaked (via 62 sources and 25 sinks). Moreover, it discriminates the invasiveness of fingerprinting activities, even from the same service, by measuring the joint entropy of the collected attributes and clustering them. We implement FP-tracer by extending Foxhound, a privacy-oriented Firefox fork with numeric type tainting, more taint tracking sources and sinks, support for multiple sources, and better logging capabilities. We embed our implementation in our automated crawling infrastructure, which is capable of testing websites in parallel using programmable and reproducible logic. We will open-source our implementation. We evaluate FP-tracer by performing a large-scale crawl over the Tranco Top 100K, and detect, amongst others, audio, canvas, and storage fingerprinting on the web. Among others, we find high fingerprinting activities in 8% of domains, with more moderate activity reaching 75%. Notably, fingerprinting is almost five times more likely to be performed by third-party scripts for high activity levels. In addition, we measure that the most severe category of fingerprinting obfuscates 46% of transmitted attributes, and 38% of fingerprinters involve two or more domains. Finally, we find that existing consent banners do not provide an effective defense against browser fingerprinting
Compact Issuer-Hiding Authentication, Application to Anonymous Credential
Authors: Sanders Olivier , Traoré Jacques
Published: June 2024

Anonymous credentials are cryptographic mechanisms enabling users to authenticate themselves with a fine-grained control on the information they leak in the process. They have been the topic of countless papers which have improved the performance of such mechanisms or proposed new schemes able to prove ever-more complex statements about the attributes certified by those credentials. However, although these papers have studied in depth the problem of the information leaked by the credential and/or the attributes, almost all of them have surprisingly overlooked the information one may infer from the knowledge of the credential issuer. In this paper we address this problem by showing how one can efficiently hide the actual issuer of a credential within a set of potential issuers. The novelty of our work is that we do not resort to zero-knowledge proofs but instead we show how one can tweak Pointcheval-Sanders signatures to achieve this issuer-hiding property in a compact way. This results in an efficient anonymous credential system that indeed provides a complete control of the information leaked in the authentication process. Our construction is moreover modular and can then fit a wide spectrum of applications, notably for Self-Sovereign Identity (SSI) systems.
A Black-Box Privacy Analysis of Messaging Service Providers' Chat Message Processing
Authors: Kirchner Robin , Koch Simon , Kamangar Noah , Klein David , Johns Martin
Published: June 2024

Online messaging has rapidly emerged as today's primary communication platform, extending from personal, to business and even to government channels. But can these services be trusted to maintain the privacy of your communication? This paper addresses this question by evaluating 105 different online messaging platforms. Utilizing “honey” messages and active HTTP(S) , WebSocket, and WebRTC traffic monitoring, along with continuous observation of honey token access, we determine which messaging services process user messages beyond mere transmission. We conduct a large-scale honey token-based study on 69 popular web and 36 mobile messaging applications. Our findings reveal that 34 % of messaging services show capabilities of server-side message analysis. Seven of these messengers evidently conduct an extended analysis of the messages, reusing the results hours to an observed maximum of a month after the chat concluded. This shows that one cannot automatically expect the same confidentiality when chatting via messengers compared to in-person communication.
PRAC: Round-Efficient 3-Party MPC for Dynamic Data Structures
Authors: Sasy Sajin , Vadapalli Adithya , Goldberg Ian
Published: June 2024

We present Private Random Access Computations (PRAC), a 3-party Secure Multi-Party Computation (MPC) framework to support random-access data structure algorithms for MPC with efficient communication in terms of rounds and bandwidth. PRAC extends the state-of-the-art DORAM Duoram with a new implementation, more flexibility in how the DORAM memory is shared, and support for Incremental and Wide DPFs. We then use these DPF extensions to achieve algorithmic improvements in three novel oblivious data structure protocols for MPC. PRAC exploits the observation that a secure protocol for an algorithm can gain efficiency if the protocol explicitly reveals information leaked by the algorithm inherently. We first present an optimized binary search protocol that reduces the bandwidth from O(lg² n) to O(lg n) for obliviously searching over n items. We then present an oblivious heap protocol with rounds reduced from O(lg n) to O(lg lg n) for insertions, and bandwidth reduced from O(lg² n) to O(lg n) for extractions. Finally, we also present the first oblivious AVL tree protocol for MPC where no party learns the data or the structure of the AVL tree, and can support arbitrary insertions and deletions with O(lg n) rounds and bandwidth. We experimentally evaluate our protocols with realistic network settings for a wide range of memory sizes to demonstrate their efficiency. For instance, we observe our binary search protocol provides >27× and >3× improvements in wall-clock time and bandwidth respectively over other approaches for a memory with 2^26 items; for the same setting our heap's extract-min protocol achieves >31× speedup in wall-clock time and >13× reduction in bandwidth.
Cluster sampling methodology to evaluate immunization coverage
Authors: Sharma Aishwarya , Jain RB , Satija Jitesh , Sharma Aditi , Sharma Avani , Shekhawat Sudhir
Published: June 2024

BACKGROUND

Immunization is a key component of primary health care and an indisputable human right. Vaccines are critical to the prevention and control of infectious disease outbreaks. The coronavirus disease 2019 (COVID-19) pandemic and associated disruptions over the past two years have strained the health systems, with many children missing out on essential childhood vaccines.

AIM

To evaluate the immunization coverage among 12-23-month-old children in the rural areas of Community Health Centre (CHC) Dighal and to determine the factors influencing the existing immunization coverage.

METHODS

A coverage evaluation survey was conducted according to the 30-cluster sampling technique, which is the standard methodology for such surveys devised by World Health Organization. A total of 300 children aged 12-23 months were included, whose immunization details were noted from their immunization cards.

RESULTS

Full immunization rate was noted in 86.7% of the children, with partial and non-immunized children accounting for 9% and 4.3% respectively. The full immunization dropout rate was 4.2%. The common reasons for partial or non-immunization were family problem including illness of mother, vaccine not being available and child being ill. Place of birth (P = 0.014) and availability of immunization card (P < 0.001) were significant predictors of the immunization status. Since the study was conducted in 2020/2021, health services were disrupted due to the COVID-19 lockdown.

CONCLUSION

Due to the coverage being higher than the national average, it was concluded that the immunization coverage was optimal and not affected by the COVID-19 pandemic.
Manejo de fracturas intertrocantéricas en adultos mayores: Revisión bibliográfica
Authors: Telenchana Chimbo Paulo Fernando , Gutiérrez Iza Luis Ricardo , Castillo Trujillo Scarleth Nayeli , Gómez Ordóñez Brenda Julexi
Published: June 2024

Esta revisión bibliográfica analiza el tratamiento quirúrgico más adecuado para las fracturas intertrocantéricas en pacientes adultos mayores. Las fracturas intertrocantéricas son fracturas extracapsulares que ocurren entre los trocánteres mayor y menor del fémur proximal, y son comunes en personas mayores con osteoporosis. Tras revisar la literatura existente, se evalúan tres opciones principales de tratamiento quirúrgico: clavo céfalomedular, hemiartroplastia (reemplazo parcial de cadera) y artroplastia total (reemplazo completo de cadera). El clavo céfalomedular implica la fijación de los fragmentos óseos con un clavo intramedular y se recomienda como una opción, ya que permite una recuperación más rápida, un inicio temprano de la movilidad, tasas más bajas de complicaciones como migración del clavo, aflojamiento e infecciones, y es menos invasivo y costoso en comparación con las prótesis. La hemiartroplastia y artroplastia total conllevan mayores riesgos de complicaciones como dislocación, aflojamiento de la prótesis, infección y fracturas periprotésicas, además de una recuperación más lenta. Si bien no existe una opción universal en relación con cuál es la mejor opción terapéutica, el tratamiento con clavo céfalomedular parece ser el más adecuado para la mayoría de los casos de fracturas intertrocantéricas en adultos mayores, considerando el tipo de fractura y la condición del paciente. Esta revisión respalda su uso por ofrecer mejores resultados y menores complicaciones en comparación con las prótesis parciales o totales. Sin embargo, el uso de cualquiera de estas dos opciones de tratamiento dependerá del tipo de fractura y del paciente. La decisión debe ser tomada por el médico tratante considerando la mejor opción por el paciente.
Menggabungkan Elemen Sejarah Pendidikan Kewarganegaraan untuk Menciptakan Perspektif yang Menarik dan Unik dalam Pembelajaran PKN
Authors: Irfiani Irfiani
Published: June 2024

Penelitian ini mengkaji pentingnya mengintegrasikan elemen sejarah dalam kurikulum Pendidikan Kewarganegaraan (PKN) sebagai upaya menciptakan perspektif yang lebih menarik dan unik dalam pembelajaran. Studi literatur yang dilakukan menunjukkan bahwa penyertaan narasi sejarah dalam materi PKN dapat meningkatkan motivasi dan keterlibatan siswa, memfasilitasi pemahaman yang lebih dalam tentang nilai-nilai kewarganegaraan, dan membantu siswa mengaitkan konsep-konsep kewarganegaraan dengan peristiwa sejarah nyata. Penelitian ini juga mengidentifikasi beberapa tantangan utama dalam proses integrasi ini, seperti keterbatasan sumber daya, kebutuhan pelatihan guru yang lebih mendalam, serta pengelolaan sensitivitas sejarah dalam kelas. Artikel ini memberikan wawasan tentang praktik-praktik terbaik dan inovasi dalam pengajaran, serta mendiskusikan strategi untuk mengatasi hambatan yang dihadapi. Kesimpulannya, artikel ini menyarankan kolaborasi antar pendidik, lembaga pendidikan, dan pembuat kebijakan untuk mengoptimalkan implementasi sejarah dalam kurikulum PKN, memastikan pendidikan kewarganegaraan yang lebih efektif dan relevan.
Samae Dam chicken: a variety of the Pradu Hang Dam breed revealed from microsatellite genotyping data
Authors: Tanglertpaibul Nivit , Budi Trifan , Nguyen Chien Phuoc Tran , Singchat Worapong , Wongloet Wongsathit , Kumnan Nichakorn , Chalermwong Piangjai , Luu Anh Huynh , Noito Kantika , Panthum Thitipong , Wattanadilokchatkun Pish , Payopat Anuphong , Klinpetch Natthamon , Chaiyes Aingorn , Vangnai Kanithaporn , Yokthongwattana Chotika , Sinthuvanich Chomdao , Ahmad Syed Farhan , Muangmai Narongrit , Han Kyudong , Nunome Mitsuo , Koga Akihiko , Duengkae Prateep , Waipanya Sompon , Matsuda Yoichi , Srikulnath Kornsorn
Published: June 2024

Objective: The remarkable adaptability to the environment, high growth rate, meat with good taste and aroma, and ornamental appearance of the Pradu Hang Dam (PDH) and Samae Dam (SD) chickens make them valuable for improvement of poultry production to enhance food security. However, despite their close phenotypic similarity, distinct classification of PDH and SD chickens remains controversial. Thus, this study aimed to clarify genetic origins and variation between PDH and SD chickens, genetic diversity and structures of PDH and SD chickens.Methods: This study analyzed 5 populations of PDH and 2 populations of SD chickens using 28 microsatellite markers and compared with those of other indigenous and local chicken breeds using Thailand's "The Siam Chicken Bioresource Project" database.Results: Considerably high genetic variability was observed within PDH (370 total alleles; 4.086±0.312 alleles/locus) and SD chickens (179 total alleles; 3.607±0.349 alleles/locus). A partial overlap of gene pools was observed between SD chickens from the Department of Livestock, Uthai Thani (SD1) and PDH chickens, suggesting a potentially close relationship between the two chicken breeds. A gene pool that partially overlapped with that of the red junglefowl was observed in the SD chicken population from the Sanhawat Farm Uthai Thani population (SD2). Distinct subclusters were observed within SD chickens, indicating the possibility that genetic differentiation occurred early in the process of establishment of SD chickens.Conclusion: These findings could offer valuable insights into genetic verification of Thai local chicken breeds and their sustainable conservation and utilization.
Effects of black soldier fly larvae (Hermetia illucens L.) as feed supplements on muscle nutrient composition, meat quality, and antioxidant capacity in Qianbei goat
Authors: Lu Shengyong , Paengkoum Siwaporn , Chen Shengchang , Long Yong , Niu Xinran , Thongpea Sorasak , Taethaisong Nittaya , Meethip Weerada , Paengkoum Pramote
Published: June 2024

Objective: Black soldier fly (BSF) as an animal protein feed source is currently becoming a hot research topic. This study investigated the effects of the BSF as a protein feed source for goats on slaughter performance, muscle nutrient composition, amino acids, fatty acids, minerals, and antioxidant levels.Methods: Thirty Qianbei Ma goats (20.30±1.09 kg) were randomly divided into three groups: the control group (GRPC) supplemented with 10% full-fat soybean, treatment 1 (GRPU) supplemented with 10% untreated BSF, and treatment 2 (GRPT) supplemented with 10% heat-treated BSF. One-way analysis of variance among groups (with Fisher's least significant difference post hoc comparison) was used in this study.Results: The nutrients, amino acids, fatty acids, minerals, and antioxidants in muscle were analyzed. The results showed that there were no significant differences in the moisture, dry matter, crude protein, ash, amino acids, and mineral content of the muscles among the three feeding groups. The slaughter rate and carcass weight of the GRPU and GRPT groups were significantly lower (p<0.05). The overall meat quality of the GRPU and GRPT groups decreased (p<0.05). The individual unsaturated fatty acids and total unsaturated fatty acids in the GRPU group were higher (p<0.05) than those in the GRPC and GRPT groups. Both GRPU and GRPT decreased (p<0.05) the antioxidant capacity of the meat.Conclusion: Therefore, the heat-treated BSF had a better effect on meat quality compared to untreated BSF, but there were greater negative effects on the meat quality of GRPU and GRPT than GRPC.
Forage quality and fermentation dynamics of silages of Italian ryegrass (Lolium multiflorum Lam.) wilted for varying periods
Authors: Li Yan Fen , Wang Li Li , Yu Young Sang , Panyavong Xaysana , Wu Li Zhuang , Kim Jong Geun
Published: June 2024

Objective: This trial was conducted to explore the impact of different wilting time of Italian ryegrass (IRG) in the field on the nutritional quality and fermentation characteristics of its silage.Methods: The harvested IRG was directly wilted in the field for 0 day (W0), 1 day (W1), 2 days (W2), and 3 days (W3), respectively, and tedded every 6 hours. And the preserved IRG was sampled at 1, 2, 3, 5, 10, 20, 30, and 45 days after ensiling and three replicates per treatment.Results: With the extension of wilting, the dry matter (DM) content and pH value of wilted IRG gradually increased (p<0.05). There was a downward trend in; neutral detergent fiber (NDF), acid detergent fiber (ADF), and hemicellulose with the increase of wilting time, but only W2 and W3 were significantly different from W0 (p<0.05). Crude protein (CP), in vitro DM digestibility), total digestible nutrients (TDN), and relative feed value decreased significantly with the increase of wilting time (p<0.05), except for W1. After 45 days of ensiling, W1 had the highest CP, TDN, and the lowest ADF and NDF. During ensiling, the increase of acetic acid and the decrease of WSC in W0 and W1 were similar, but the accumulation rate of lactic acid in W0 was faster than that in W1, resulting in the lowest pH value in W0. After 5 days of ensiling, the ratio of lactic acid to acetic acid in W1 stabilized at around 3:1, while W0 kept changing.Conclusion: Italian ryegrass that wilted in the field for 1 day effectively improved the dynamic changes in CP, TDN, ADF, and NDF and fermentation quality of silage. Therefore, in practice, W1 was more recommended in production of IRG silage.
Legal Protection For Personal Data In The World Of Work In The Era Of Digitalization Of Technology And Information
Authors: Priyanjani Ambar Rani , Fadillah Farah , Ghalib Alfazrryan , Sutrisno Endang , Permana Deni Yusup
Published: June 2024

Legal certainty is one of the objectives of law according to Gustav Radburch, with the development of the times, and the rise of digitalization, it is necessary to have a legal umbrella as a form of preventive effort so that there are no legal problems such as misuse of personal data in the labor scope. This legal research method uses normative juridical legal methods using qualitative data based on consideration of the purpose of this research itself to determine the importance of legal certainty and protection of personal data in the context of labor in the era of technology, and information that has developed rapidly. The clarity of legal norms guides community behavior, including the protection of personal data. The impact of technological advances is especially evident in changes in community behavior and information seeking through the internet. This change creates new challenges, especially related to the misuse of personal data in the world of work. Legal protection for personal data in the world of work in the era of digitalization of technology and information is very important. It has positive implications for companies, employees, and society as a whole. By implementing good personal data protection, all parties can benefit from the opportunities offered by digital technology while maintaining the privacy and security of personal data.
OS EDUCADORES E OS USOS DOS CONCEITOS:
Authors: Gontijo Lucas Alvarenga
Published: June 2024

O presente artigo vislumbra a hipótese de que educadores se portam como inventores de futuro. Isso se dá porque sistematizam saberes para poderem professá-los e, desta forma, constroem conexões entre passado, presente e futuro de maneira criativa, inventiva. Para explicar essa proposta, o artigo busca compreender como os educadores fazem usos dos conceitos como interpretes/observadores a explicá-los e aplicá-los às conjunturas temporais a que pertencem. Suas ações são efetivamente criativas ao darem sentido ao passado, em uma postura muito próxima do Hayden White visualizou a partir de sua teoria da meta-história. E esse fenômeno é efeito da inexorável parcialidade cognitiva de qualquer interprete. O artigo analisa, então, as condições de possibilidade de uso dos conceitos, a desnudar que qualquer conceito, a ser recriado em uma nova dimensão temporal, sofrerá interferência de subjetividades adjungidas pelos seus interpretes, sempre interessados, sempre politicamente ativos. Ao contrário do que postula o senso comum, os conceitos não vêm do passado, mas são recriados, ganham autônoma conjuntural específica do momento em que são reinseridos na vida política prática. Se a prática educacional assenta subjetividades, crenças, expectativas de mundo, é sustentável que seus efeitos estejam muito próximos dos efeitos derivados dos direitos, pois esses também assentam expectativas sociais. Se a produção de subjetividades depende da linguagem, cabem aos educadores, como observadores/interpretes dos valores sociais, selecionar, interpretar e fazer uso retórico de memórias semânticas, isto é, de conceitos. Isto porque para a teoria dos sistemas, segundo Raffaele de Giorgi, a memória é considerada uma função e não algo que se poderia recorrer e que estaria aguardada em algum lugar a ser acessada. O artigo se valeu de uma metodologia crítica especulativa a partir de revisão bibliográfica.
ANÁLISE DAS CARACTERÍSTICAS DO ENSINO JURÍDICO BRASILEIRO:
Authors: Santos Adriana Regina de Jesus , Tiroli Luiz Gustavo
Published: June 2024

A formação didático-pedagógica dos professores é um desafio no campo do ensino jurídico. Historicamente, de modo geral, essa não foi uma preocupação específica dos cursos de bacharelado do Ensino Superior e tampouco do Direito. Assim, questiona-se: quais seriam as principais características do ensino jurídico brasileiro, identificadas a partir da revisão bibliográfica, e quais as implicações da formação didático-pedagógica dos docentes na constituição dessas características? O objetivo consiste em discorrer sobre as características do ensino jurídico, emergidas da revisão bibliográfica, tendo como premissas a formação e a prática didático-pedagógica dos professores dos cursos de Direito. A pesquisa bibliográfica, o tratamento qualitativo dos dados e a análise de conteúdo foram os encaminhamentos metodológicos da investigação. Diante da investigação, foi possível organizar as características nas seguintes categorias: I) verbalismo e bancarismo; II) dogmatismo e antidialogismo; III) positivismo normativista; IV) colonialidade do pensamento jurídico; V) liberalismo ideológico e neutralidade epistemológica. Além disso, os resultados apontam que a formação e o trabalho didático-pedagógico dos docentes estão relacionados a essas características, tanto para garantir a manutenção desses padrões quanto para a sua superação na consecução de outro paradigma para o ensino jurídico nacional.
Colaboração em Equipes Multigeracionais de Sistemas de Informação
Authors: Machado Sofia M. B. , Diirr Bruna
Published: June 2024

Equipes multigeracionais são cada vez mais comuns à medida que a expectativa média de vida aumenta e mais pessoas optam por ficar no mercado de trabalho. A diversidade etária nas equipes de Sistemas de Informação (SI) é essencial para a produção de novos conhecimentos e soluções de qualidade e inovadoras. Entretanto, a colaboração entre profissionais de SI com diferentes idades, habilidades e conhecimentos é um desafio. Este estudo propõe um instrumento de apoio aos gestores destas equipes, combinando insumos de um mapeamento sistemático de literatura, entrevistas com profissionais e grupo focal com gestores. Argumenta-se que tal instrumento auxilie as equipes a atingirem seu potencial máximo em produtividade, qualidade e inovação.
Human Factors in the Design of Chatbot Interactions: Conversational Design Practices: Extended Abstract – CTDSI/CTCCSI 2025
Authors: Silva Geovana Ramos Sousa , Canedo Edna Dias
Published: June 2024

The conversational nature of chatbots poses challenges to designers since their development is different from other software. Since human dialogue involves several variables beyond verbalizing words, it is vital to design wellthought dialogues for chatbots to provide a humanized and optimal interaction. The main objective of this work is to unveil textual, visual, or interactive design practices from text-based chatbot interactions and how they can potentiate or weaken some perceptions and feelings of users for the creation of the Guidelines for Chatbot Conversational Design (GCCD) guide. We used multiple research methods to generate and validate the guide. First, we conducted a Systematic Literature Review (SRL) to identify conversational design practices and their impacts. These practices were inserted into the GCCD guide through qualitative analysis and coding of SLR results. Then, the guide was validated quantitatively through a survey and qualitatively through a case study. The survey aimed to assess the guide’s clarity and usefulness based on its reading and the case study aimed to assess the guide’s usefulness based on its practical application. The survey showed that software developers with different levels of experience strongly agreed that the guide could induce greater user satisfaction and engagementm that the guide is clear, understandable, flexible, and easy to use. The case study confirmed the survey findings, as participants reported positive feelings toward the guide and an intention to use it. Their extensive perceptions given through the conducted interviews unveiled that their previous experiences with chatbots and in specific software development positions influenced their design and adoption of practices. The guide proved to be useful for developers with different levels of knowledge, with the potential to become a strong ally for developers in the conversational design process.
Identificação de Sintomas de Depressão por Dados de Mídias Sociais: Aplicando Design Science Research para Desenvolver um Modelo de Classificação
Authors: Lima Filho Silas , Silva Mônica Ferreira da , Oliveira Jonice
Published: June 2024

O artigo aborda a prevalência da depressão como uma condição incapacitante e destaca a importância da identificação precoce de sintomas para intervenções oportunas. Explorando o conteúdo gerado pelo usuário em redes sociais, o estudo propõe o uso de modelos de aprendizado de máquina na detecção de sintomas depressivos. Seguindo a metodologia DSR, a pesquisa valida a eficácia desses modelos em comparação com abordagens existentes, envolvendo profissionais de saúde e especialistas do domínio. O artigo introduz um modelo de stacking inovador, utilizando métricas LIWC de posts em redes sociais, contribuindo para a compreensão de soluções baseadas em aprendizado de máquina na identificação de sintomas do transtorno depressivo.
PRORAF: Rastreamento da Agricultura Familiar
Authors: Santos Nykolas F. , Goulart Augusto , Kersten Diogo S. , Cornelio Jhon P. L. , Basso Fábio , Mansilha Rodrigo B.
Published: June 2024

Abordamos os desafios da agricultura familiar brasileira com ênfase na rastreabilidade, como exigido pela INC nº 02/2018. Realizamos um encaixe entre perfil do público e proposta de valor para alavancar o negócio dos produtores e ampliar a satisfação dos consumidores. Propomos o desenvolvimento de um ecossistema composto por SI e etiquetagem colaborativa rodeado por um ambiente de inovação. O PRORAF está implantado experimentalmente em Alegrete-RS, e deve ser expandido para outras regiões seguindo os moldes de franquia regionais com sócio-gestores.
ORBIO Web: Sistema de Gestão de Rotas de VANTs no Controle Biológico de Pragas
Authors: Silva Bruno S. da , Moreira Marcelo S. , Cabreira Tauã M. , Ferreira Jr. Paulo R. , Jorge Lúcio A. de Castro , Matias Nicholas R. , Machado Ricardo A. O.
Published: June 2024

Pragas e doenças agrícolas representam uma ameaça significativa à segurança alimentar, com perdas financeiras estimadas em milhões anualmente. Este trabalho apresenta o ORBIO Web, uma aplicação web inovadora para gerenciar e otimizar o planejamento de rotas de Veículos Aéreos Não Tripulados (VANTs) na dispersão de agentes de controle biológico em lavouras. A solução visa superar desafios relacionados ao planejamento manual de rotas, oferecendo uma ferramenta de planejamento automatizado que garante eficiência, precisão e redução de custos operacionais.
Technology at the Service of Society: A Support System for the Reception of Citizens in Natural Disaster Situations
Authors: Alves Karine , Santos Edney , Marques Leandro , Nogueira Sidney , Burégio Vanilson , Brito Kellyton
Published: June 2024

The Acolhe project was developed in response to the challenges faced by both the government and civil society in Pernambuco due to climate change, which has led to extreme events and natural disasters. With the support of FACEPE and in collaboration with various entities, especially the Executive Secretariat of Social Assistance of Olinda/PE, the Acolhe system was designed to aid public authorities in the registration and management of unsheltered citizens during emergency situations. With its potential applicability in other cities, the system represents a significant advance in natural disasters readiness and response in Pernambuco.
ZeroCarbon: uma startup de compras online baseada no conceito inovador de nature back para redução do impacto ambiental por meio de creditos de carbono
Authors: Oliveira Erica de , Vosgrau Ingrid , Latini Danielli
Published: June 2024

In this work, we introduce ZeroCarbon - ZC, a startup focused on contributing to the reduction of environmental impact through the neutralization of carbon emissions from online purchases. Our process involves connecting individuals who wish to make online purchases with affiliated companies to contribute to the reduction of carbon dioxide emissions. These purchases are neutralized through carbon credits that reduce greenhouse gas emissions. The use of ZC’s platform has mitigated environmental impacts, as we neutralized 169,000 kilograms of CO2 from purchases made by 8,000 users, in partnership with 224 affiliated stores. Unlike other similar service options on the market, ZeroCarbon calculates only the emissions related to the type of product purchased. This work offers insights on the carbon footprints of conventional and online retail from a ”natureback” perspective.
Preliminaries on the State-of-the-Practice on Smart Cities Projects in Brazil
Authors: Barros David Antônio Teixeira de Moraes , Morais Edison Andrade Martins , Kassab Mohamad , Graciano Neto Valdemar Vicente
Published: June 2024

Smart cities emerge as a response to build the city of the future, where the well-being and rights of citizens are ensured under a sustainable perspective. Understanding the current state of smart cities in Brazil becomes essential to assess how technology is impacting urban dynamics in the country. In that sense, the main contribution of this paper is to present preliminary results of a systematic survey on smart city projects in Brazil. 21 professionals from 7 states and different areas responded to the survey. Results reveal that (i) there is a range of smart cities projects in different regions of Brazil; (ii) several technologies are already deployed in Brazilian cities, but (iii) infrastructure is one of the main challenges to make smart cities a full reality.
Taxonomia de Gêneros para Sistemas de Recomendação Voltados à Engenharia de Jogos
Authors: Cardouzo Herick Henrique , Classe Tadeu Moreira de
Published: June 2024

Dentro da engenharia de jogos diversos processos de game design podem ser descritos. O conceito inicial do jogo é uma etapa importante para mitigar problemas em etapas seguintes, porém não existem muitas ferramentas que auxiliem esse processo. Visto isso, para o contribuir com o desenvolvimento de ferramentas de suporte à engenharia de jogos, este estudo tem por propósito o desenvolvimento de uma taxonomia de gêneros de jogos usando a metodologia DSRP (Design, Science, Research, Process). Junto a taxonomia, um artefato secundário de sistemas de recomendação também é proposto como prova de conceito para demonstração do artefato principal. Assim, em relação às contribuições, é clara a contribuição em engenharia de jogos. Visto isso, considerando as bases de sistemas de informação, as contribuições alcançam a melhorias dos processos da indústria de jogos, auxiliando as pessoas durante processos de game design por meio da aplicação de tecnologias.
Desenvolvimento de uma Aplicação Móvel Multiplataforma para Detecção e Avaliação de Risco de Lesões Cutâneas
Authors: Hermes Guilherme , Moreira Francisco Willem R. , Lima Jean Mário M. de
Published: June 2024

Este estudo aborda a aplicação prática de técnicas de aprendizado de máquina na detecção de lesões cutâneas, combinando a rede neural InceptionV3 com o desenvolvimento de uma arquitetura multiplataforma para uma aplicação móvel. O modelo atingiu uma acurácia de 88%. A arquitetura da aplicação móvel, baseada no Flutter, proporcionou um fácil acesso e interação intuitiva, integrando-se com o modelo através de uma API. As discussões destacam a necessidade de melhorias e exploram a possibilidade de incorporar outras estratégias de integração. Este projeto representa passos adiante na aplicação de tecnologias emergentes em sistemas de informação para melhorar a detecção precoce de câncer de pele, promovendo avanços no setor da saúde.
From Data Integration to Innovation Diffusion: The Role of Information Systems into Empowering Innovation Ecosystems
Authors: Araújo Allysson Allex , Vilela Ricardo , Accioly Paola , Netto Dorgival , Tomaz Emerson B. , Câmara Samuel
Published: June 2024

Developing nations embrace innovation ecosystems for socioeconomic growth. However, Information Systems (IS) research on Brazil's innovation ecosystems is still quite scarce. We address this gap by examining the nexus between IS and innovation ecosystem by approaching the Diffusion of Innovation Theory to analyze the "Mapa do Ecossistema de Inovação Cearense" as a descriptive case study. We delve into this IS project's deployed features, challenges, and future avenues of research. This paper contributes by sharing insights for other regions interested in enhancing their innovation ecosystems and by raising awareness of the idea of IS in empowering them.
Utilização de PID para Autobalanceamento em Jogos de Treinamento para Situações de Risco na Indústria
Authors: Serra Cristiano Barroso , Classe Tadeu Moreira de
Published: June 2024

A segurança na indústria é um aspecto crítico, evidenciando a necessidade de métodos de treinamento inovadores para reduzir riscos e acidentes. Este trabalho explora o potencial uso de Controladores Proporcional-Integral-Derivativo (PID) e Game Analytics em jogos de treinamento para simular cenários de risco. Empregando a metodologia de Design Science Research (DSR), o estudo adota um ciclo iterativo de design, desenvolvimento, e avaliação de um sistema de jogo integrado com PID para autobalanceamento, adaptando-se às habilidades dos jogadores e promovendo uma aprendizagem eficiente. Este sistema visa não apenas aprimorar a segurança dos trabalhadores por meio de treinamentos mais eficazes, mas também contribuir significativamente para o campo dos Sistemas de Informação, estabelecendo novas diretrizes para o desenvolvimento de soluções educacionais inovadoras em ambientes industriais desafiadores.
Um estudo preliminar da migração de comunidade dos projetos nos ecossistemas AngularJS e Angular
Authors: Sobrinho Rafael R. , Soupinski Felipe S. , Oliveira Pedro A. , Borges Hudson S. , Fontão Awdren
Published: June 2024

Os ecossistemas de software (ECOS) são ambientes para o enriquecimento das interações entre membros de uma comunidade. Quando há desalinhamento entre as expectativas dos atores, projetos pertencentes ao ECOS podem morrer, especialmente sem um plano de migração de recursos. Usando mineração de repositórios de software, este estudo compartilha resultados emergentes em torno do comportamento de migração de desenvolvedores do AngularJS para o Angular. Há indícios de: distribuição desequilibrada de contribuições, e; a intervenção da organização na dinâmica de migração para garantir a sobrevivência das comunidades mais relevantes o que favoreceu uma migração gradual de outros desenvolvedores.
XH-KaaS (eXplanable Health-Knowledge as a Service)
Authors: Montenegro Thiago C. , Lino Natasha C. Q.
Published: June 2024

Os Sistemas de Suporte à Decisão Clínica (SSDC) e as técnicas de inteligência artificial, especialmente o aprendizado de máquina, tornaram-se verdadeiros aliados devido à sua precisão e eficácia. No entanto, a falta de transparência e interpretabilidade desses sistemas representa desafios para sua aplicação prática. Para mitigar tal problemática, o artigo propõe uma arquitetura de conhecimento como serviço ao domínio da saúde. Essa abordagem busca centralizar serviços e incorporar técnicas de explicabilidade, visando aprimorar a compreensão do processo decisório dos modelos de aprendizado de máquina pelos usuários e estabelecer arquiteturas de referência que minimizem os riscos associados à falta de transparência.
Towards a Comparative Study of Authentication Mechanisms for Low-Resource Internet of Things Devices
Authors: Sousa Joel , Tomaz Emerson B. , Araújo Allysson Allex
Published: June 2024

Authenticity represents an essential facet of information security explored across various Information Systems (IS), including Internet of Things (IoT) devices in Industry 4.0. However, deploying authentication mechanisms in specific IoT devices poses significant challenges, particularly for those with energy, memory, and computational power constraints. Given this context, this ongoing research project aims to compare conventional authentication mechanisms for low-resource IoT devices and identify the most efficient one among them. As an initial result, this paper aims to present our methodological scope and discuss preliminary empirical results derived from a computational experiment using the Non Interactive Zero Knowledge Proofs (NIZKP), algorithm in Arduino Nano. This research seeks to enhance the comprehension of authentication mechanisms in low-resource IoT devices, thus facilitating better decision-making processes in IS settings and contributing to academia and practice.
Attitude extremity and perceived argument diversity exposure in the COVID-19 debate
Authors: Zerback Thomas , Ryffel Quirin
Published: June 2024

This study investigates the relationship between attitude extremity and perceived exposure to diverse political arguments in the debate about COVID-19 health policy measures. Based on a comparative, cross-sectional survey in Germany and Switzerland, we show that extreme attitudes towards wearing face masks inhibit citizens’ perceived diversity of arguments regarding the issue in both countries. This tendency is slightly more pronounced for supporters of mask-wearing than opponents. However, contrary to existing concerns about issue-specific echo chambers, even respondents showing strong attitude extremity still experience exposure to a relatively diverse range of arguments for and against wearing face masks.
Medulloblastoma Diagnosis and Treatment
Authors: Zafari Parisa , Azarhomayoun Amir
Published: June 2024

Medulloblastoma is the most common malignant brain tumor in children. About 16–20% of all primary brain tumors in children are medulloblastoma, and it accounts for about 40% of all cerebellar tumors in childhood. The incidence of medulloblastoma peaked in those aged 9 years and younger. Some of the most common clinical symptoms of medulloblastoma are headache, vomiting, vertigo, and ataxia. Additional manifestations that may occur include lethargy, irritability, motor or cranial nerve impairment, gaze-palsy, sphincter disorders, and back pain in those with spinal metastases. Imaging tests can help determine the location and size of the brain tumor. A computerized tomography (CT) scan or magnetic resonance imaging (MRI) may be done immediately. It is uncommon to do a biopsy, but it may be recommended if the imaging studies are not typical of medulloblastoma. The treatment for medulloblastoma depends on several factors, including clinical conditions of the patient and the size and location of the tumor. Treatment methods for medulloblastoma usually include surgery followed by radiotherapy, chemotherapy, or both. Treatment for medulloblastoma focuses on removing as much of the tumor as safely possible and relieving intracranial pressure. This three-part approach, surgery, radiotherapy, and chemotherapy, can increase the survival of patients by up to 75%.
Cannabis Compounds: Potential Therapy for Neurological Disease
Authors: Babayeva Mariana , G. Loewy Zvi
Published: June 2024

Identification and development of pharmaceuticals for neurological disorders is associated with several unique challenges. The primary weakness of candidate neurological compounds is the poor penetration efficacy across the blood-brain barrier (BBB). The BBB is the bottleneck in nervous system drug development and is the paramount factor that limits success in neurotherapeutics. Findings suggest cannabinoids might overcome the limiting effects of the BBB and play a key role in improving neurological dysfunctions. This supports the therapeutic potential of cannabidiol for the treatment of ischemic and inflammatory diseases of the central nervous system (CNS). The potential application of cannabinoids for Parkinson’s disease, Autism, and childhood Epilepsy is explored in this chapter.
Applications of Pulsed Laser Ablation in Li-ion Battery Research
Authors: Gibson Katherine , Yang Dongfang
Published: June 2024

Harnessing pulsed laser ablation processes in the manufacturing of energy storage devices is a new and promising strategy for the facile development of next-generation Li-ion batteries. In laser ablation, a pulsed laser is focused on a material surface such that the transfer of energy causes the removal of localized material via high throughput and environmentally-friendly processing. This chapter will provide a summary of the recent advances in laser ablation technologies for producing Li-ion battery materials and components. In terms of electrode optimization, it will examine the use of pulsed lasers to: (1) generate large specific surface area nanoparticles of active materials or stable integrative anodes; (2) deposit compositionally complex and stoichiometric thin film active materials; (3) create electrode architectures with increased Li-ion diffusion kinetics, enhanced wettability or free space to accommodate Si anode volume expansions, and; (4) remove the superficial inactive or solid electrolyte interface layers from electrode surfaces. It will also investigate the laser ablation of current collectors to produce textures with improved adhesion and the use of pulsed lasers for cutting and structuring solid ceramic electrolyte. Finally, this chapter will discuss the application of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) for chemical composition analysis of Li-ion batteries throughout their operating cycle.