bluuebunny/crossref_metadata_2025 huggingface dataset:
GCL-Leak: Link Membership Inference Attacks against Graph Contrastive Learning
Authors: Wang Xiuling , Wang Wendy Hui
Published: June 2024

Graph contrastive learning (GCL) has emerged as a successful method for self-supervised graph learning. It involves generating augmented views of a graph by augmenting its edges and aims to learn node embeddings that are invariant to graph augmentation. Despite its effectiveness, the potential privacy risks associated with GCL models have not been thoroughly explored. In this paper, we delve into the privacy vulnerability of GCL models through the lens of link membership inference attacks (LMIA). Specifically, we focus on the federated setting where the adversary has white-box access to the node embeddings of all the augmented views generated by the target GCL model. Designing such white-box LMIAs against GCL models presents a significant and unique challenge due to potential variations in link memberships among node pairs in the target graph and its augmented views. This variability renders members indistinguishable from non-members when relying solely on the similarity of their node embeddings in the augmented views. To address this challenge, our in-depth analysis reveals that the key distinguishing factor lies in the similarity of node embeddings within augmented views where the node pairs share identical link memberships as those in the training graph. However, this poses a second challenge, as information about whether a node pair has identical link membership in both the training graph and augmented views is only available during the attack training phase. This demands the attack classifier to handle the additional “identical-membership" information which is available only for training and not for testing. To overcome this challenge, we propose GCL-LEAK, the first link membership inference attack against GCL models. The key component of GCL-LEAK is a new attack classifier model designed under the “Learning Using Privileged Information (LUPI)” paradigm, where the privileged information of “same-membership” is encoded as part of the attack classifier's structure. Our extensive set of experiments on four representative GCL models showcases the effectiveness of GCL-LEAK. Additionally, we develop two defense mechanisms that introduce perturbation to the node embeddings. Our empirical evaluation demonstrates that both defense mechanisms significantly reduce attack accuracy while preserving the accuracy of GCL models.
CheckOut: User-Controlled Anonymization for Customer Loyalty Programs
Authors: Gregoire Matthew , Thomas Rachel , Eskandarian Saba
Published: June 2024

To resist the regimes of ubiquitous surveillance imposed upon us in every facet of modern life, we need technological tools that subvert surveillance systems. Unfortunately, while cryptographic tools frequently demonstrate how we can construct systems that safeguard user privacy, there is limited motivation for corporate entities engaged in surveillance to adopt these tools, as they often clash with profit incentives. This paper demonstrates how, in one particular aspect of everyday life -- customer loyalty programs -- users can subvert surveillance and attain anonymity, without necessitating any cooperation or modification in the behavior of their surveillors. We present the CheckOut system, which allows users to coordinate large anonymity sets of shoppers to hide the identity and purchasing habits of each particular user in the crowd. CheckOut scales up and systematizes past efforts to subvert loyalty surveillance, which have been primarily ad-hoc and manual affairs where customers physically swap loyalty cards to mask their real identities. CheckOut allows increased scale while ensuring that the necessary computing infrastructure does not itself become a new centralized point of privacy failure. Of particular importance to our scheme is a protocol for loyalty programs that offer reward points, where we demonstrate how CheckOut can assist users in paying each other back for loyalty points accrued while using each others' loyalty accounts. We present two different mechanisms to facilitate redistributing rewards points, offering trade-offs in functionality, performance, and security.
MicroSecAgg: Streamlined Single-Server Secure Aggregation
Authors: Guo Yue , Polychroniadou Antigoni , Shi Elaine , Byrd David , Balch Tucker
Published: June 2024

This work introduces MicroSecAgg, a framework that addresses the intricacies of secure aggregation in the single-server landscape, specifically tailored to situations where distributed trust among multiple non-colluding servers presents challenges. Our protocols are purpose-built to handle situations featuring multiple successive aggregation phases among a dynamic pool of clients who can drop out during the aggregation. Our different protocols thrive in three distinct cases: firstly, secure aggregation within a small input domain; secondly, secure aggregation within a large input domain; and finally, facilitating federated learning for the cases where moderately sized models are considered. Compared to the prior works of Bonawitz et al. (CCS 2017), Bell et al. (CCS 2020), and the recent work of Ma et al. (S&P 2023), our approach significantly reduces the overheads. In particular, MicroSecAgg halves the round complexity to just 3 rounds, thereby offering substantial improvements in communication cost efficiency. Notably, it outperforms Ma et al. by a factor of n on the user side, where n represents the number of users. Furthermore, in MicroSecAgg the computation complexity of each aggregation per user exhibits a logarithmic growth with respect to $n$, contrasting with the linearithmic or quadratic growth observed in Ma et al. and Bonawitz et al., respectively. We also require linear (in n) computation work from the server as opposed to quadratic in Bonawitz et al., or linearithmic in Ma et al. and Bell et al. In the realm of federated learning, a delicate tradeoff comes into play: our protocols shine brighter as the number of participating parties increases, yet they exhibit diminishing computational efficiency as the sheer volume of weights/parameters increases significantly. We report an implementation of our system and compare the performance against prior works, demonstrating that MicroSecAgg significantly reduces the computational burden and the message size.
PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption
Authors: Ren Liangqin , Liu Zeyan , Li Fengjun , Liang Kaitai , Li Zhu , Luo Bo
Published: June 2024

In the past decade, we have witnessed an exponential growth of deep learning models, platforms, and applications. While existing DL applications and Machine Learning as a service (MLaaS) frameworks assume fully trusted models, the need for privacy-preserving DNN evaluation arises. In a secure multi-party computation scenario, both the model and the data are considered proprietary, i.e., the model owner does not want to reveal the highly valuable DL model to the user, while the user does not wish to disclose their private data samples either. Conventional privacy-preserving deep learning solutions ask the users to send encrypted samples to the model owners, who must handle the heavy lifting of ciphertext-domain computation with homomorphic encryption. In this paper, we present a novel solution, namely, PrivDNN, which (1) offloads the computation to the user side by sharing an encrypted deep learning model with them, (2) significantly improves the efficiency of DNN evaluation using partial DNN encryption, (3) ensures model accuracy and model privacy using a core neuron selection and encryption scheme. Experimental results show that PrivDNN reduces privacy-preserving DNN inference time and memory requirement by up to 97% while maintaining model performance and privacy. Codes can be found at https://github.com/LiangqinRen/PrivDNN
What Does It Mean to Be Creepy? Responses to Visualizations of Personal Browsing Activity, Online Tracking, and Targeted Ads
Authors: Reitinger Nathan , Wen Bruce , Mazurek Michelle , Ur Blase
Published: June 2024

Internet companies routinely follow users around the web, building profiles for ad targeting based on inferred attributes. Prior work has shown that these practices, generally, are creepy—but what does that mean? To help answer this question, we substantially revised an open-source browser extension built to observe a user's browsing behavior and present them with a tracker's perspective of that behavior. Our updated extension models possible interest inferences far more accurately, integrates data scraped from the user's Google ad dashboard, and summarizes ads the user was shown. Most critically, it introduces ten novel visualizations that show implications of the collected data, both the mundane (e.g., total number of ads you've been served) and the provocative (e.g., your interest in reproductive health, a potentially sensitive topic). We use our extension as a design probe in a week-long field study with 200 participants. We find that users do perceive online tracking as creepy—but that the meaning of creepiness is far from universal. Participants felt differently about creepiness even when their data presented similar visualizations, and even when responding to the most potentially provocative visualizations—in no case did more than 66% of participants agree that any one visualization was creepy.
Pain in chronic pancreatitis: What can we do today?
Authors: Binetti Margherita , Tonini Valeria
Published: June 2024

The aim of this study is to illustrate the complexity of pain management in chronic pancreatitis (CP). In this context, pain represents the most common and debilitating symptom, and it deeply affects patient’s quality of life. Multiple rating scales (unidimensional, bidimensional and multidimensional) have been proposed to quantify CP pain. However, it represents the result of complex mechanisms, involving genetic, neuropathic and neurogenic factors. Considering all these aspects, the treatment should be discussed in a multidisciplinary setting and it should be approached in a stepwise manner. First, a lifestyle change is recommended and nonsteroidal anti-inflammatory drugs represent the gold standard among medical treatments for CP patients. The second step, after medical approach, is endoscopic therapy, especially for complicated CP. In case of failure, tailored surgery represents the third step and decompressive or resection procedures can be chosen. In conclusion, CP pain’s management is challenging considering all these complex aspects and the lack of international protocols.
Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not: A systematic review and meta-analysis
Authors: Iqbal Kinza , Banga Akshat , Arif Taha Bin , Rathore Sawai Singh , Bhurwal Abhishek , Naqvi Syeda Kisa Batool , Mehdi Muhammad , Kumar Pankaj , Salklan Mitali Madhu , Iqbal Ayman , Ahmed Jawad , Sharma Nikhil , Lal Amos , Kashyap Rahul , Bansal Vikas , Domecq Juan Pablo
Published: June 2024

BACKGROUND

Coagulopathy and thromboembolic events are associated with poor outcomes in coronavirus disease 2019 (COVID-19) patients. There is conflicting evidence on the effects of chronic anticoagulation on mortality and severity of COVID-19 disease.

AIM

To summarize the body of evidence on the effects of pre-hospital anticoagulation on outcomes in COVID-19 patients.

METHODS

A Literature search was performed on LitCovid PubMed, WHO, and Scopus databases from inception (December 2019) till June 2023 for original studies reporting an association between prior use of anticoagulants and patient outcomes in adults with COVID-19. The primary outcome was the risk of thromboembolic events in COVID-19 patients taking anticoagulants. Secondary outcomes included COVID-19 disease severity, in terms of intensive care unit admission or invasive mechanical ventilation/intubation requirement in patients hospitalized with COVID-19 infection, and mortality. The random effects models were used to calculate crude and adjusted odds ratios (aORs) with 95% confidence intervals (95%CIs).

RESULTS

Forty-six observational studies met our inclusion criteria. The unadjusted analysis found no association between prior anticoagulation and thromboembolic event risk [n = 43851, 9 studies, odds ratio (OR)= 0.67 (0.22, 2.07); P = 0.49; I 2 = 95%]. The association between prior anticoagulation and disease severity was non-significant [n = 186782; 22 studies, OR = 1.08 (0.78, 1.49); P = 0.64; I 2 = 89%]. However, pre-hospital anticoagulation significantly increased all-cause mortality risk [n = 207292; 35 studies, OR = 1.72 (1.37, 2.17); P < 0.00001; I 2 = 93%]. Pooling adjusted estimates revealed a statistically non-significant association between pre-hospital anticoagulation and thromboembolic event risk [aOR = 0.87 (0.42, 1.80); P = 0.71], mortality [aOR = 0.94 (0.84, 1.05); P = 0.31], and disease severity [aOR = 0.96 (0.72, 1.26); P = 0.76].

CONCLUSION

Prehospital anticoagulation was not significantly associated with reduced risk of thromboembolic events, improved survival, and lower disease severity in COVID-19 patients.
Expresión Lasallista: 2018-2021
Authors:   Universidad La Salle Oaxaca
Published: June 2024

Esta recopilación de los ensayos que se alzaron con el primer sitio a lo largo de las primeras cinco ediciones del Concurso de Ensayo “Expresión Lasallista”, organizado por la Escuela de Ingenierías y Arquitectura de la Universidad La Salle Oaxaca, nos llevará a un viaje de análisis y propuestas, de imágenes mentales, de experiencias personales y comunes, de investigación e interpretación, así como de pensamientos y reflexiones. Compartimos aquí una brevísima exposición de los escritos intentando capturar la esencia de cada uno de ellos.
El uso de la publicidad en redes sociales para las PyMES en el estado de Oaxaca
Authors:   Universidad La Salle Oaxaca, López Ramírez David
Published: June 2024

El acercamiento a redes sociales ha creado nuevos paradigmas en torno a la publicidad y la relación empresa-cliente. Una correcta estrategia de contenidos se traduce en éxito a bajo costo con herramientas cotidianas. Dichas herramientas pueden crear nuevas formas de comercialización dentro del estado de Oaxaca, aumentando la economía dentro del estado, en tanto se trata de un sector importante. Observar la forma en que las PyMES del estado aprovechan estas plataformas ayudará a mejorar la comunicación, tanto interna como externa.
La importancia de regular la interacción de los niños con las redes sociales para su seguridad
Authors:   Universidad La Salle Oaxaca, Méndez Ramírez Gilberto Antonio , Maldonado Ortega Luis Fernando ,   Universidad La Salle Oaxaca
Published: June 2024

El hombre es un ser sociable por naturaleza. Querer encajar en un grupo social es una necesidad que se presenta no sólo en los adultos, sino también en los niños. Este sentimiento, aunado a los avances tecnológicos que facilitan el acceso a internet de los infantes, los lleva a crear un perfil en las redes sociales. Sin embargo, al hacerlo los niños se exponen a una amplia gama de peligros, los cuales pueden generar devastadoras consecuencias para ellos; por ende, es necesario hacer un repaso de los mismos a fin de generar nuevas formas de regular la interacción de los infantes con las diferentes redes sociales, en pro de su seguridad.
Reproducción de la educación bancaria a través de la educación virtual y su liberación en tiempos de Covid
Authors:   Universidad La Salle Oaxaca, Barraza Pacheco Joab Kalid
Published: June 2024

La pandemia llegó y la educación se detuvo; las currículas educativas no tuvieron oportunidad de ser modificadas para su adaptación de un modelo presencial en uno digital, virtual. Por otro lado, el Estado no puede asegurar que la educación virtual sea democrática en un país en que, de acuerdo con el INEGI (2020), sólo 76.6% de la población urbana es usuaria de Internet, mientras que en las zonas rurales el porcentaje de población usuaria se reduce a 47.7%. Instituciones educativas, profesorado y alumnado tienen un gran reto en común: liberarse descubriendo en conjunto nuevos horizontes pedagógicos y construir una telerrealidad que satisfaga las necesidades o continuar reproduciendo una educación bancaria que no abona a la sociedad y su transformación y que termina oprimiendo al educando.
Herramientas para alcanzar un aprendizaje significativo en la educación a distancia
Authors: Paredes Jaramillo Santiago Daniel , García Paredes Nery Elisabeth , Holguer Alexander Freire Núñez , Cajas Tibanta José Enrique
Published: June 2024

El estudio expuesto en el artículo investiga "Herramientas para alcanzar un aprendizaje significativo en la educación a distancia", específicamente dirigido a los estudiantes del bachillerato general unificado de la Unidad Educativa a Distancia de Tungurahua. Se emplea una metodología cuantitativa, con un diseño cuasi experimental de tipo correlacional y una modalidad de campo que incluye análisis bibliográfico y documental. Se revisaron los antecedentes de distintas técnicas de enseñanza y aprendizaje utilizadas en otras instituciones y se evalúan los efectos positivos observados en el rendimiento académico y el aprendizaje significativo de los estudiantes. Además, se realiza una fundamentación científica de las variables relacionadas con el tema de estudio, con el objetivo de implementar técnicas de enseñanza y aprendizaje efectivas que consideren las problemáticas socioeducativas como la deserción escolar, la combinación de trabajo y estudio, la escasez de recursos económicos y el rezago educativo de los estudiantes de esta institución.
Narratives of Clinicians Navigating Black Women’s Trauma in Therapy
Authors: Mays Grace , Talpade Medha
Published: June 2024

This qualitative research study examines the narratives of clinicians who treat Black women with trauma to further curate ways to effectively treat Black women in therapy. This study reveals the importance of culturally-informed clinicians in the psychological field to provide effective mental healthcare for Black women to combat healthcare disparities. Data was collected by conducting five semi-structured interviews with clinicians who specialize in treating Black women with trauma. After collection, the data was analyzed using Atlas.ti and divided into three categories: psychosocial patterns, treatment strategies, and the therapeutic relationship. A major theme exemplified by the psychosocial patterns of clients is the Superwoman Schema. The overarching themes that exemplify the Superwoman Schema include the inability to acknowledge or express trauma, perfectionism, and lack of boundaries. The common themes found in narratives of clinicians regarding treatment strategies are CBT criticism, the effectivity of EMDR, the utility of mindfulness, and the power of the therapeutic relationship. These themes provide insight into beneficial tools used in therapy with Black women navigating trauma and potential challenges clinicians may face treating Black women with trauma. This study can provide suggested strategies to treat Black women in therapy to effectively acknowledge, process, and heal from trauma.
Analysis of Traffic Performance and Passenger Car Equivalent Value in Tangerang – Merak Toll Road Section
Authors:   Universitas Indonesia, Sidabutar Jonathan , Soehodho Sutanto , Nahry Nahry
Published: June 2024

Economic growth involves massive movement of logistics, where goods transported by land become the main choice by supplier. One of them being the main access for connecting Java and Sumatera is the Tangerang – Merak toll road. An increase in traffic volume occurs every year, followed by additional problems such as congestion which obviously affects traffic performance. Given this reason, it is necessary to evaluate traffic performance through parameter assessments, which are the degree of saturation and travel speed. This research was carried out on the Tangerang - Merak toll road section KM 32,300 to KM 35,500 towards Jakarta for one week using traffic CCTV recordings, then selected on 17 April 2024. The calculation results obtained for each average weighted value for the degree of saturation (Ds) at 0.36 and average of the Space Mean Speed is at 33.08 kph. Based on traffic performance analysis, the volume parameter does not indicate a problem, and is included in the LOS A category. However, the travel speed parameter shows an issue and included in the LOS F category. This will be the focus problem within the scope of the research. On the other side, traffic composition which includes variations in the number of vehicles per time and type of vehicle. Given this kind of variation, a Passenger Car Unit value is needed that can equalize the existing different vehicle types into a uniform standard, including who commit over dimensional violations. Where the value of passenger car equivalent of an over-dimensional vehicle is changing, it is necessary to re-calibrate the emp value. Researchers used the Volume Delay Function formula to calculate travel time, then explore a combination of emp values using the dynamic programming method by comparing survey travel time with the simulation one. The difference between the PKJI standard value and the calibrated pce value proves the problem of these vehicles commit over dimension violations on the Tangerang – Merak toll road. For this reason, it is hoped that this research which evaluate traffic performance, travel time and passenger car equivalent values, can be used as a basis for further policy making to improve the performance of the Tangerang – Merak toll road.
ANALYSIS OF COST AND TIME EFFICIENCY IN CONTAINER DISTRIBUTION BETWEEN CONTAINER TRUCK AND FREIGHT TRAIN FROM INDUSTRIAL AREA TO PORT
Authors:   Universitas Indonesia, Imayanti Indah , Soehodho Sutanto , Yusuf Nahry
Published: June 2024

Jakarta International Container Terminal (JICT) in Tanjung Priok Port , which serves export and import containers, can serve up to 5500 TEUs daily. However, no more than 1% of the total containers are transported by freight trains, meaning that 99% of container distribution from industrial areas is carried by trailer trucks. This condition causes a long queue at the container terminal entrance, resulting in delays in the services as well. Currently, Tanjung Priok Port is connected to rail transportation from Cikarang dry port with the frequency of twice a day with 30 flatcars (FC) for each trip. The capacity of one series of freight trains from Cikarang dry port to Tanjung Priok Port can reach 30 Feus or 60 Teus. However, the container distribution using freight trains is still less optimal because of the double handling at the JICT emplacement which is located outside JICT and the use of trailer trucks to move the containers from the area to JICT. The cost of transporting export and import containers always increases year by year because of the slow transportation due to inefficiency of the container depot location in Tanjung Priok area. In this research, the method used to determine the efficiency of container transportation is divided into three scenarios. The first scenario is when the container is fully transported by truck from the industrial area. The second scenario is when the container is transported by train and handled twice while entering JICT. Finally, the third scenario is when the JICT emplacement is located inside the JICT area, changing the business process of containers coming in and out, needing no stacking in the JICT container yard, relocating the container depot placement, consolidating containers, and automating equipment at JICT to reduce the cost and time of containers for export and import. After analyzing the costs and time of the three scenarios, it was found that the third scenario could reduce travel costs and shorten container time when exporting and importing. The 3rd scenario can reduce the cost by almost 50% from the 1st and 2nd scenarios due to container consolidation.
LIHAAF (THE QUILT) A STUDY FROM SHORT STORY TO CINEMATIC APPROPRIATION: OBSCURING THE FEMALE RELATIONSHIP
Authors: Sonika and Kishor Kunal Kashyap
Published: June 2024

The concept of homosexuality has generated considerable debate over the years, but it has failed to establish itself as a rigid identity. Until recently, the voices of homosexuals remained unheard. More specifically, Ismat Chughtai was the first female author to explore lesbianism. The society hesitated to accept them and disguised their identity by tormenting them with traditions or feelings. Adhering to the theme of representing the subaltern, this paper attempts to read between the lines of Ismat Chughtai's short story Lihaaf (The Quilt) in order to discern a woman's blossoming same-sex relationship. Through the protagonist Begum Jaan, Chughtai focuses on life's essential elements: society and the individual. As the tale unfolds, she uncovers two significant aspects of her life: her husband's interest in men and her own interest in women. Frequently, societal pressure prevents an individual from embracing his or her sexuality. The paper addresses the concept of self through the lens of a wife and lesbian who celebrates her identity despite living in a traditional patriarchal society. Ultimately, it mediates the concept of self-reconstruction and condemns the stereotypical identity imposed by society. The study raises concerns about a society that plays an essential role in the subjugation of women and homosexuals by denying them fundamental rights. The fact that Lihaaf was adapted from a seminal work of feminist literature from the subcontinent lends the novel some merit. This paper also examines how the short story-to-screen adaptation rewrites Lihaf to conceive a different queer female desire possibility. I shall discuss how the film disturbs the voyeuristic, heteronormative position of the masculine viewer. It also interprets the film as an intervention in the homosexual representational norms of mainstream Hindi film.
Consumer Protection for Traffic Accident Victims Due to a collision with an online motorcycle taxi that violates
Authors: Kusuma Rizky , Ferdiles Lucky , Darwati Darwati
Published: June 2024

In the era of globalization, the number of private vehicles is increasingly two-wheeled. Hit-and-run traffic violations in Gelora Karno, Central Jakarta Polrestabes area between scooters against and private motorcycles and traffic accidents between online motorcycle taxis that go against the flow and private motorcycles. This study aims to determine consumer safety standards against traffic accidents caused by online motorcycle taxi drivers. The legal research method that the author uses is empirical juridical, the method is carried out by examining the law or from facts that are actually obtained from the field in the form of information, characteristics and effectiveness. The results of the study concluded that Law Number 8 of 1999 concerning Consumer Protection and Law Number 22 of 2009 concerning Road Traffic and Transportation are regulations that regulate motorists when driving on the highway, through consumer protection efforts and driver legal responsibility designed to reduce the number of traffic violations by conducting frequent socialization and routine patrols every day in the field. The driver is liable based on the category of misdemeanor, moderate or severe against applicable law. Consumer protection is given to victims so that they do not experience trauma and are healthy again.
The Relationship Between the Duration of Diabetes Mellitus and Diabetic Neuropathy in the Internal Medicine Polyclinic of Linggajati General Hospital
Authors: Haris Munandar Ihsan
Published: June 2024

Based on data by IDF (International Diabetic Federation), Indonesia has been the 5th country in the world as the biggest diabetes mellitus with the prevalence approximate 9.1 billion people and increasing every year, tha the burden of the country. Diabetic neuropathy is the common complication which presents in diabetic patients, researchers suggest fifty percent of patients with diabetes will get the diabetic neuropathy complication. This study aimed to know the relationship between duration of Diabetes Mellitus Disease and Diabetic Neuropathy also clinical manifestations in Internal Medicine Policlinic Linggajati General Hospital in January to May 2020 period. Sampling technique is consecutive sampling with Inclusion Criteria including identity, gender, age, symptoms and DM duration, statistical test using Chi Square in SPSS 16.0. There is a significant relationship between duration of Diabetes Mellitus and Diabetic Neuropathy (p value = 0.02 ) . There is a relationship between duration of Diabetes Mellitus and Diabetic neuropathy and the clinical features are woman most gender, most age range is 50-60 years old, most DM duration is 5-10 years, and most symptomps is Numbness.
Influence of long-term supplementation of a formulated botanical blend on growth performance and carcass traits in feedlot steers
Authors: Ribeiro Thiago Lauro Maia , Francis Becca B. Grimes , DeHaan Erin R. , Ross Cassidy R. , Delver Justin J. , Francis Forest L. , Heldt Jeff S. , Wall Emma H. , Rusche Warren C. , Smith Zachary K.
Published: June 2024

Objective: The objective of this study was to determine if a formulated blend of capsicum oleoresin, clove essential oil, and garlic essential oil (Fytera Advance - Selko USA, Indianapolis IN, USA; CCG) influences measures of cattle growth, efficiency, or carcass traits, during the finishing phase in steers fed a concentrate-based diet.Methods: Charolais×Angus steers (n = 96; initial shrunk body weight [BW] = 391±34.0 kg) were used in a 144-d (16 February 2023 to 9 July 2023) finishing feedlot experiment in Brookings, SD, USA. Steers were individually weighed and allotted to one of 14 pens (6 to 7 steers; 7 pens/treatment) in a randomized complete block design and randomly assigned to 1 of 2 treatments: control diet without the test product (CON) or a diet including CCG at 500 mg/steer daily (CCG). Steers were fed twice daily, and bunks were managed according to a slick bunk system.Results: There were no differences (p≥0.10) in any growth performance outcomes from d 1 to 35, 36 to 70, or 71 to 98. From d 99 to 144 steers from CCG tended to have 5% greater average daily gain (p = 0.09) and 8% improved feed conversion (G:F) (p = 0.01). No differences (p≥0.15) were noted for cumulative growth performance measures. No differences were noted for any carcass measurements or categorical carcass outcomes, nor lung or liver health outcomes (p≥0.15).Conclusion: The use of CCG had no influence on cumulative growth performance responses. However, the use of CCG improved G:F during the late feeding period.
Structuring And Fostering Traditional Markets, Shopping Centers, And Modern Stores At The Community Income Level
Authors: Fatimah Siti , Aulia Nadia Nisa , Jannah Miftahul , Khumayah Siti , Lestari Aghnia Dian
Published: June 2024

The market is a medium for bartering between the needs of sellers and buyers where sellers expect profits while buyers expect efficiency at very affordable prices. The purpose of this study is to explore the changes in the arrangement and guidance as well as the impact on the income level of the community after the fire. This research used a qualitative method with a case study approach. Three data collection techniques were used including observation, interview, and documentation. The research findings show that the authorized parties in implementing the policy are only the Cirebon Regency Trade and Industry Office. In terms of structuring, it is divided based on 3 elements, namely dry, semi, and wet zones. Based on Public Policy, structuring, and coaching have been implemented in accordance with government policy and in accordance with existing data. Policy Stakeholders have been well implemented, but not optimal because the traders are still not orderly and consumer interest is more to the marketplace making it easier for them to shop and more efficient in terms of time and expenses. Policy Environment has been well implemented, because it makes it easier for traders and consumers when selling and shopping. The conclusion of the impact on the income of business actors decreased due to a lot of competitiveness.
DIMPE: Uma Proposta de um Drone Inteligente para Auxiliar no Monitoramento de Perímetro em Áreas de Segurança
Authors: Pimentel Gabriel S. , Medeiros Cristina A. de , Lima Thiago A. , Ferreira Andressa B.
Published: June 2024

Este trabalho tem como objetivo apresentar uma proposta de um drone inteligente para auxiliar na vigilância e monitoramento de perímetro residencial ou em áreas de segurança. A partir de uma câmera acoplada ao Drone, tal sistema deverá ser capaz de identificar pessoas ou objetos, por meio de inteligência artificial (IA), que não deveriam estar em determinado perímetro e então, acionar sistemas de alarme e seguranças do local. Espera-se, com esta proposta, contribuir na área da segurança, reduzindo riscos para profissionais de segurança e estimulando a inovação.
Amazon Biobank: a Blockchain-based Genomic Database for Bioeconomy
Authors: Kimura Leonardo T. , Simplício Jr Marcos A.
Published: June 2024

The bioeconomy, an industrial production model based on biological resources and sustainable development, can be considered an emerging opportunity for biodiversity-abundant regions, such as the Amazon rainforest. However, existing genomic repositories lack data traceability and economic benefit-sharing mechanisms, resulting in limited motivation for data providers to contribute. To address this challenge, we present Amazon Biobank, a community-driven genetic database. By leveraging blockchain and peer-to-peer (P2P) technologies, we enable distributed and transparent data sharing; meanwhile, by using smart contracts directly registered in the system, we enforce fair benefit-sharing among all system participants. Moreover, Amazon Biobank is designed to be auditable by any user, reducing the need for trusted system managers. To validate our approach, we implemented a prototype using Hyperledger Fabric and BitTorrent and evaluated its performance. Our results show that the prototype can support at least 400 transactions per second in a small network and that it can be further improved by adding new nodes or allocating additional computational resources. We expect that Amazon Biobank will serve as a vital tool for collaborative biotechnology research, fostering sustainable development in high-biodiversity regions.
Adoção de tecnologia computacional para o tratamento do Transtorno do Déficit de Atenção com Hiperatividade (TDAH)
Authors: Alves Renato Montaleão Brum , Silva Mônica Ferreira da
Published: June 2024

A pesquisa visou identificar os fatores que influenciam na adoção de tecnologias da Computação para apoiar o tratamento do Transtorno do Déficit de Atenção com Hiperatividade (TDAH). Para isso, foi realizada uma revisão sistemática da literatura sobre as tecnologias existentes para diagnóstico e tratamento do transtorno, um estudo de casos com profissionais da Saúde, e um estudo de caso sobre o uso de um aplicativo específico para o TDAH. O método da Design Science Research foi aplicado como forma de condução da pesquisa. Como consequência, foram identificados dois novos constructos e então proposto o modelo de adoção UTAUT2-ADHD. O modelo foi validado estatisticamente de forma preliminar através do método Survey.
Fatores Sociais e Humanos na Gerência de Requisitos em Ecossistemas de Software: Resumo Estendido – CTDSI/CTCCSI 2024
Authors: Gonçalves Rodrigo Feitosa , Malcher Paulo , Santos Rodrigo Pereira dos
Published: June 2024

Em ecossistemas de software (ECOS), a gerência de requisitos requer a cooperação e interação de múltiplos atores (i.e., organização central, usuários finais e desenvolvedores externos). Assim, é essencial considerar os fatores sociais e humanos (FSH) ao realizar as atividades da gerência de requisitos em ECOS. Nesse contexto, este trabalho tem como objetivo identificar quais FSH influenciam as atividades da gerência de requisitos em ECOS. Para isso, foram conduzidos uma rapid review e um estudo de campo por meio de entrevistas semiestruturadas com profissionais que atuam na gerência de requisitos em ECOS. As descobertas resultaram na construção de um framework de ação para entender e melhorar os FSH nas atividades da gerência de requisitos em ECOS, além da instanciação de uma ferramenta com os componentes do framework. Ao final, foi conduzida uma avaliação do framework por meio de um grupo focal com 5 especialistas em gerência de requisitos, ECOS e FSH em engenharia de software, resultando na versão final do framework, intitulado SHFiRM-SECO. O SHFiRM-SECO fornece uma referência para os profissionais de requisitos e organizações centrais que desejam criar ambientes de trabalho mais produtivos e eficazes para os profissionais envolvidos na gerência de requisitos em ECOS. Além disso, os resultados auxiliarão os pesquisadores a refinar e explorar o framework em diversos contextos futuros (em ECOS híbrido, aberto e fechado). Este trabalho contribui para a área de sistemas de informação, pois engloba estudos que abordam três pilares essenciais: as pessoas, considerando os FSH dos atores em ECOS; os processos, relacionados às atividades da gerência de requisitos; e a tecnologia, vinculada a ECOS.
An Anonymization Library for Rapid and Diverse Anonymization of Brazilian Personal Data
Authors: Sposito Stefano Luppi , Sales Raylan da Silva , Canedo Edna Dias , Silva Geovana Ramos Sousa
Published: June 2024

The prevalence of personal data in the hands of large companies highlights the necessity for robust regulatory frameworks. The General Data Protection Law (LGPD) seeks to standardize data usage, emphasizing minimal ownership and, when needed, anonymization in line with regulations. The absence of a specific tool for anonymizing Brazilian personal data remains a significant challenge. The lack of a dedicated tool for anonymizing Brazilian personal data poses a hurdle in achieving LGPD compliance. This study proposes the development of a library tailored to anonymize personal data, considering the unique aspects of Brazilian regulations. The goal is to create an efficient and secure library for removing identifiable information from documents, aligning with the LGPD. Furthermore, the results obtained from the implementation and testing of the developed library provide significant contributions to the data privacy community. The successful integration of support for various document formats such as .PDF, .DOCX, and .XLSX, coupled with the ability to anonymize text strings, demonstrates the versatility and practicality of the library. Notably, the performance tests reveal promising outcomes, showcasing the effectiveness of each function and regular expression employed. These results not only validate the functionality of the library but also underscore its potential in aiding individuals and organizations in adhering to data protection regulations.
Caracterização, Evolução e Identificação de Padrões em Notícias Falsas: Uma Abordagem Voltada à Modelagem de Tópicos
Authors: Alves Leonardo Emerson André , Oliveira Jonice , Silva Sírius
Published: June 2024

Este estudo propõe uma metodologia capaz de realizar a caracterização, o estudo evolucional e a identificação de padrões de escrita em notícias falsas. Dessa forma, foi realizado o tratamento e aperfeiçoamento de um corpus não-balanceado. Posteriormente, foi realizada a análise das notícias com o uso de técnicas de processamento de linguagem natural e modelagem de tópicos fazendo uso de algoritmos tradicionais (LDA e LSA). Os resultados compreendem a criação de um dicionário que caracteriza os padrões de escrita presentes nas notícias falsas estudadas, bem como a comparação de eficiência entre os algoritmos utilizados por meio do uso da métrica de coerência.
Uma Abordagem Baseada em Rede de Fornecimento de Software para Análise da Evolução de Ecossistemas de Software
Authors: Pinheiro Francisco Victor da Silva , Coutinho Emanuel Ferreira
Published: June 2024

Ecossistemas de Software (ECOS) são conjuntos de atores e componentes que colaboram para fornecer soluções na indústria de software. A notação Software Supply Network (SSN) é uma rede de software, hardware e organizações de serviços que cooperam para atender às demandas do mercado. Estudos recentes propõem a modelagem da rede de ECOS, mas não há um padrão formalizado para essa área. A evolução de um ECOS ocorre quando ele cresce em relação a si mesmo e aos seus atores e relacionamentos, internos e externos, e expande seus relacionamentos com outros ECOS. Este trabalho propõe uma abordagem para estudar a evolução de um ECOS por meio da modelagem SSN, utilizando a ferramenta de modelagem ECOS Modeling, visando fornecer uma visão ampla da evolução com base em dados estatísticos, permitindo uma compreensão quantitativa, qualitativa e percentual sobre a evolução.
EMOB-UX: Padrões e Guidelines de Usabilidade em E-commerce para Mobilidade Urbana - Um Estudo de Caso em Rodovias Pedagiadas
Authors: Silva Lucas Quadros , Morandini Marcelo
Published: June 2024

O progresso dos sistemas de informação têm sido essencial na evolução da mobilidade urbana. À medida que as empresas incorporam cada vez mais softwares de e-commerce como um novo canal para a oferta de serviços, torna-se crucial que os profissionais desta área estejam devidamente capacitados com habilidades para lidar com os desafios da diversidade social nas cidades inteligentes, garantindo maior satisfação dos usuários, por meio de um ambiente eficiente e eficaz para gerenciar suas viagens. Este estudo propõe a criação da lista abrangente de padrões e guidelines de usabilidade em softwares de e-commerce aplicados à área de mobilidade urbana, denominada EMOB-UX. A pesquisa será conduzida em uma concessionária localizada no Estado de São Paulo com o objetivo de validar essa lista em ambiente aplicado.
Políticas Públicas Baseadas em Evidências: um Sistema para Análise da Mortalidade Infantil em Pernambuco
Authors: Silva Matheus , Ferreira Neto Abílio , Silva Hugo , Santos Glória , Valença George , Brito Kellyton
Published: June 2024

A avaliação de políticas públicas é muitas vezes realizada de forma apenas qualitativa, dada a carência de sistemas de informação que deem suporte à tomada de decisão dos avaliadores, seja de órgãos de controle ou da sociedade civil em geral. Nesta linha, este trabalho apresenta o desenvolvimento de um sistema de informação através de cooperação técnica entre TCE-PE e UFRPE, que objetiva facilitar a visualização, análise e tomada de decisões para possíveis auditorias. O sistema inova tanto na forma que foi desenvolvido, através de inovação aberta e parceria entre governo e universidade, quanto no seu conteúdo, utilizando o poder computacional e de sistemas de informação para apoio a áreas de cuidado e assistência.
Cultura de Segurança da Informação - Um Relato de Oficinas para Conscientização de Servidores em Organizações Públicas
Authors: Losse Maria A. P. F. , Morais Ana C. C. M. , Sousa Edgard T. , Cabral Rennan L. B. , Santos George A. V. , Lins Fernando A. A.
Published: June 2024

Atualmente, é inegável o aumento da quantidade de ataques cibernéticos e vazamento de dados de organizações. Em um mundo cada vez mais digitalizado, dicas e técnicas de Segurança da Informação se tornam ainda mais importantes para a melhoria da conscientização da organização. Contudo, a realização de cursos tradicionais presenciais, ou mesmo cursos remotos, tem um alcance limitado sobre a motivação das pessoas. Neste contexto, este artigo propõe a realização de Oficina de Segurança como uma alternativa capaz de motivar o interesse nesta temática e também como forma de tanto auxiliar o aprendizado como também apoiar a geração de conteúdo de segurança específico para o contexto da empresa. Os resultados mostraram que os funcionários foram capazes de propor e discutir dicas e técnicas inovadoras de segurança baseadas no contexto da própria organização.
Tracking the decisions to select repositories for Mining Software Repositories experiments
Authors: Costa Hiero Henrique Barcelos , Oliveira Guilherme Marques de , Salles Victor Souza , Menezes Gleiph Ghiotto Lima
Published: June 2024

Mining Software Repositories analyzes and cross-links the data available in software repositories. This enables MRS to recognize patterns in software repositories. For example, to study how developers resolve conflicting merges. However, two main problems exist in the selection process of repositories: the limitations presented in traditional approaches used when selecting repositories and the lack of a systematic process for choosing repositories, turning off the experiments' reproducibility. This approach is proposed to resolve identified limitations and assist users in software repositories' selection. Initial results show that this approach returns at least 1.8 times more repositories, overcoming, for instance, the main language restriction in searches.
Linha do Tempo Eleições Presidenciais 2022: evolução da rede social Twitter durante o 8 de janeiro de 2023
Authors: Bertanha Manuela de Caria , de Araujo Renata Mendes
Published: June 2024

Este trabalho apresenta a ‘Linha do Tempo - Eleições Presidenciais 2022’ uma proposta de acompanhamento do debate entre usuários do Twitter no decorrer das eleições presidenciais brasileiras de 2022. A linha do tempo é ilustrada usando como base as manifestações que ocorreram em Brasília, na Praça dos Três Poderes, no dia 8 de janeiro de 2023. Validada por cidadãos comuns e pesquisadores, ela se mostrou eficaz enquanto ferramenta de auxílio para o entendimento dos acontecimentos em Brasília.
Proposta de um Framework de Storytelling para Apoiar o Ensino e Aprendizado em Sistemas de Informação
Authors: Oliveira Eduardo Gomes de , Classe Tadeu Moreira de
Published: June 2024

Storytelling (contação de histórias) é uma parte significativa de todas as culturas, atraindo pessoas independentemente da idade, e nas últimas décadas isso também têm sido utilizado no contexto educacional. Apesar da importância do storytelling no contexto educacional, os professores têm dificuldades no processo de criação de histórias. Visto isso, este projeto de pesquisa tem como apresentar a proposta de desenvolvimento de um framework de storytelling para dar suporte à professores na confecção de suas aulas. Espera-se que, com a utilização deste framework os professores consigam planejar aulas mais engajantes, motivantes e que proporcione a imersão nos alunos, tornando o processo de ensino e aprendizagem mais efetivo.
Uma Plataforma Web para apoiar Docentes no Ensino de Programação em Cursos de Sistemas de Informação
Authors: Calderon Ivanilse , Silva Williamson , Feitosa Eduardo
Published: June 2024

Ensinar programação nos cursos de Sistemas de Informação não é apenas cumprir uma etapa no currículo acadêmico ou sobre escrever linhas de código com os estudantes, mas uma jornada para preparar os estudantes para as oportunidades do mercado de trabalho e para capacitá-los a serem agentes de mudança e inovação. As metodologias ativas são estratégias que podem ajudar neste processo. Os docentes enfrentam barreiras e desafios para a adoção de metodologias ativas para melhorar suas praticas docentes em relação ao ensino de programação. Este trabalho apresenta o CollabProg, uma plataforma web aberta, disponível na internet, que reúne, em único ambiente diferentes tipos de metodologias ativas para apoiar os docentes no ensino de programação.