bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamiques économiques de la production et du commerce des amphores Dressel 3-2 léétaniennnes
Authors: Berni Millet Piero
Published: June 2023

Cette contribution a un double objectif scientifique. Nous y résumons dans un premier temps les idées principales de notre récente révision de la typologie des Dressel 2-4 tarraconaises, aujourd'hui appelées Dressel 3-2, étude publiée en 2015 dans l'Archivo Español de Arqueología, avant d'élargir le champ d''investigation à plusieurs aspects dont l'importance se révèle capitale pour l'étude de ces amphores. Grâce à la méthode descriptive de classification des Dressel 3-2 léétaniennes – notamment l’évolution de la forme du fond et de l'épigraphie associée – il est non seulement possible de les identifier avec précision, mais aussi de dater les différentes phases de l’activité des figlinae et des protagonistes. On s’intéresse ensuite à la dynamique commerciale des vins produits sur les deux versants du territoire léétanien en proposant l'hypothèse d''une polarisation de la production vinicole et des industries d''amphores dans les deux zones, occidentale et orientale. Nous suggérons, en nous appuyant sur les données archéologiques, que le négoce du vin léétanien dut affronter deux moments ponctuels de crise (second quart du Ier s. et période flavienne).
Modifying and Supplementing Annie's Project to Increase Impact in New Jersey and Beyond
Authors: Brumfield Robin , Carleo Jenny , Kenny Laura , Melendez Meredith , O'Neill Barbara , Polanin Nicholas , Allie Kenesha
Published: June 2023

Annie's Project is a widely known risk management program emphasizing five areas of risk and creating support networks for women in agriculture. Designed as an 18-hr course delivered through a series of face-to-face classes, it can be adapted to meet the learning needs and time constraints of the target audience and instructors. This article describes modifications and additions to the traditional program delivery that were implemented by the Annie's Project New Jersey team: synchronous learning at multiple locations, archived video-recorded classes, condensed 1-day workshops, a supplemental program about estate and farm transition planning, archived webinars, and international adaptations of the program.
Getting Your Message Across: Mobile Phone Text Messaging
Authors: Beecher Constance , Hayungs Lori
Published: June 2023

Want to send a message that 99% of your audience will read? Many Extension professionals are familiar with using social media tools to enhance Extension programming. Extension professionals may be less familiar with the use of mobile phone text-based marketing tools. The purpose of this article is to introduce SMS (short message system) marketing and provide a starting point for using mass text messages in Extension programming.
Living Shoreline Design Charette: A New Twist on the Charette Technique
Authors: Barrett Juliana , Kelly Miriah , Hyde Bruce
Published: June 2023

Design charettes are a common outreach technique that planners and landscape architects use to obtain input on planning issues. The desired outcome is a design solution that takes into account participant feedback. Because design charettes bring people of diverse backgrounds together to work toward a goal, exploring uses of this technique for purposes beyond the traditional is valuable. At a living shoreline design charette, we used the technique not to devise design solutions but to engage interested parties in an activity that provided them with improved awareness and understanding of what regulators permit regarding living shoreline designs. Here we describe our process and its results.
Supporting the "Archstone of Democracy": Cooperative Extension's Experiment with Deliberative Group Discussion
Authors: Shaffer Timothy
Published: June 2023

Cooperative Extension has a rich history of providing research-based knowledge and functioning as a catalyst for change through community engagement. It is via this second dimension of its identity that Extension has long played a role in creating space for public issues to be understood through deliberative discussion. Rather than view the use of deliberation and discussion as only a recent development in Extension's approach to engaging citizens about public issues, I highlight efforts and challenges related to Extension's experiment with deliberation and discussion in the 1930s and 1940s and use this historic perspective to identify important implications for Extension today.
Engaging Participants Without Leaving the Office: Planning and Conducting Effective Webinars
Authors: Robinson Julie , Poling Mary
Published: June 2023

The University of Arkansas System Division of Agriculture Cooperative Extension Service has been developing and refining webinar delivery practices since 2012. On the basis of a review of existing literature and our own experiences, we have established methods for necessary planning, organization of content and people, and effective delivery of high-quality webinars. We have distilled those methods into a collection of best practices. By using those best practices, which we identify in this article, Extension educators can deliver virtual learning experiences that are engaging and enjoyable for all parties involved.
Using Real Colors to Transform Organizational Culture
Authors: Roback Paul
Published: June 2023

Extension educators are frequently tasked with strengthening organizations they collaborate with or provide education to. When a county government in Wisconsin experienced significant personnel changes in a span of less than 18 months, department heads contacted Extension to request professional development and team-building education for their staffs. Extension educators facilitated a series of Real Colors workshops that were attended by over 300 participants and transformed the county's organizational culture. Workshop evaluations and behavior change reported by the county administrator provided evidence of this transformation.
Meeting Stakeholder Energy Technology Education Needs Using a Mobile Demonstration
Authors: Koff Jason , Ricketts John , Robbins Chris , Illukpitiya Prabodh , Wade Alvin
Published: June 2023

Understanding the impact of workshops that include mobile demonstrations for describing technical applications can be useful when planning an Extension program on new energy technologies. We used a mobile demonstration in a workshop that provided information on small-scale on-farm biodiesel production. Evaluation of the workshop outcomes identified significant increases in attendees' perceptions, awareness, interest, and knowledge related to the topic. On the basis of our process for planning and conducting the workshop and the results of the evaluation, we recommend implementing a well-distributed needs assessment and using a mobile demonstration to present technology that is economically feasible to use. The workshop we describe can be used as a model for other Extension programs.
How to safely communicate with a phishing attacker by email?
Authors: Buřita Ladislav , Coufalikova Aneta , Halouzka Kamil
Published: June 2023

The published study is a part of the long-term research of emails with phishing attacks against the article's author. In the previous three years, 3 experiments were carried out to analyze phishing emails. The result is their detailed classification. The subsequent experiment was focused on defense against phishing attacks using the rules of the MS Outlook email client. The last experiment, which is the article's content, is devoted to analyzing communications with phishing attackers. A fake identity was created for the experiment and security rules were set up. A total of 100 phishing emails were answered, with a preference for those whose content was not aimed at fulfilling any request; that was clarified during the communications. The conducted literature search confirmed the assumption that no one is engaged in similar research, so the results of the research may be more interesting for the cybersecurity community. The articles of the literary research are focused on the issue of social engineering from an interdisciplinary perspective. A great deal of attention has also been oriented on the influence of social networks on people information perception or on their exploitation in cyber-attacks. The result of the study is a statistical analysis of communications and a detailed analysis of its content. Out of 100 replies to the phishing email, 32 (32%) were answered by the phisher. The longest communications had 6 cycles. If the phisher insisted aggressively on personal information, the communications was terminated. From the content of the communications, the attacker's procedures and his argumentation to obtain the required information were primarily examined. A detailed analysis of the texts from the communications aimed to answer the question of whether the phisher is a robot or a person. Further considerations are being made within the team on how to continue researching phishing attacks.
Deep-learning-based Intrusion Detection for Software-defined Networking Space Systems
Authors: Uhongora Uakomba , Mulinde Ronald , Law Yee Wei , Slay Jill
Published: June 2023

This paper briefly reviews the application of the Software-defined Networking (SDN) architecture to satellite networks. It highlights the prominent cyber threats that SDN-based satellite networks are vulnerable to and proposes relevant defence mechanisms. SDN transforms traditional networking architectures by separating the control plane from the forwarding (data) plane. This separation enhances scalability and centralises management. In comparison, in traditional networks, the control plane and the data plane are usually combined, resulting in complex network management and reduced scalability. Satellite networks can take advantage of these benefits offered by SDN and this supports them as key enablers of critical services, including weather prediction, global broadband Internet coverage, and Internet of Things (IoT) services. Ease of configuration and flexibility are essential for satellites providing critical services to instantly adapt to network changes. These desirable attributes can be realised by applying SDN to satellite networks.  Although SDN offers significant benefits to satellite networks, it is vulnerable to cyber-attacks and particularly due to its centralised architecture. A common attack on SDN is the Distributed Denial of Service (DDoS) attack which could render the entire SDN unavailable. To mitigate such threats, an efficient Intrusion Detection System (IDS) is required to monitor the network and detect any suspicious traffic. However, traditional IDSs produce too many false positives and often fail to detect advanced attacks. For their ability to learn feature hierarchies in network traffic data automatically, whether, for network traffic classification or anomaly detection, deep learning (DL) plays an increasingly important role in IDSs. In this paper, we present a brief review of recent developments in cyber security for SDN-based space systems, and we identify vulnerabilities and threats to an SDN-based satellite network. We further discuss the potential of a DL-based IDS for the detection of cyber threats. Finally, we identify further research gaps in the recent literature and propose future research directions.
Digital Forensic in A Virtual World; A Case of Metaverse and VR
Authors: Al ali Tayba , Al Fulaiti Sara , Abuzour Manal , Almaqahami Sheikha , Ikuesan Richard
Published: June 2023

Metaverse is a virtual space where users can interact with each other. It is a combination of virtual reality, augmented reality, and mixed reality. This evolving technology can offer many exciting opportunities that can be used for individuals and businesses. Although this technology has many advantages, people are misusing it for their benefit. Many cyberattacks are occurring in the metaverse world because it has various vulnerabilities and privacy issues. This paper explains four cyberattacks and a case scenario of each attack as it relates to the metaverse. Additionally, this study developed a metaverse forensic framework that can be used to investigate cyberattacks in the metaverse world. Furthermore, this study describes how forensic examiners can conduct a forensic investigation using state-of-the-art forensic solutions and tools. The developed framework can be used by forensic examiners, security researchers, as well as the general scientific community for the security of the metaverse.
Security Issues of GPUs and FPGAs for AI-powered near & far Edge Services
Authors: Koumoutzelis Stylianos , Giannoulakis Ioannis , Georgoulakis Titos , Avdikos George , Kafetzakis Emmanouil
Published: June 2023

Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs) are widely applied to cloud and embedded applications in which such devices are applied to near and far edge computing operations. This pool of available devices has a wide range of power/size specifications to support servers ranging from big data centres to small cloudlets, or even down to embedded systems and IoT boards. Overall, the most prominent devices and vendors in the market today are the following Xilinx for FPGA-based accelerators, Nvidia and AMD for GPUs, Intel for FPGA- /GPU-based accelerators. Decreasing the latency and increasing the throughput of Artificial Intelligence Functions (AIF), either for network automation or user applications, requires some sort of parallelization inside such purpose-built hardware acceleration. The AI@EDGE project is developing a Connect-Compute Platform (CCP) in which hardware accelerators (1 Nvidia GPU Tesla V100 (near edge device) and 1 Jetson AGX and 1 Jetson Nano (far edge devices), as well as 2 Xilinx FPGAs Alveo U280+U200 (near edge devices) and 1 Versal VCK190 and 2 Zynq ZCU104) are placed inside a server node and execute edge computing scenarios involving multiple nodes of diverse compute capabilities each, to test various integration approaches, to study orchestration techniques measure AIF deployment efficiency, all while developing certain FPGA/GPU code to accelerate representative AIFs of AI@EDGE. In this paper we compare the power/size/performance specifications of all accelerators and highlight the security issues associated with the cloud and embedded accelerators. This study presents the security issues announced by the vendors with the results of our tests and proposes tests and security functions (policies and objectives) which will be applied to the CCP to increase the security level of CCP. It also considers security issues related with the hardware set-up (accelerators inside server nodes) from the network point of view.
Attention-Based Deep Learning Modelling for Intrusion Detection
Authors: AlOmar Ban , Trabelsi Zouheir , Saidi Firas
Published: June 2023

Cyber-attacks are becoming increasingly sophisticated, posing more significant challenges to traditional intrusion detection methods. The inability to prevent intrusions could compromise the credibility of security services, thereby putting data confidentiality, integrity, and availability at risk. In response to this problem, research has been conducted to apply deep learning (DL) models to intrusion detection, leveraging the new era of AI and the proven efficiency of DL in many fields. This study proposes a new intrusion detection system (IDS) based on DL, utilizing attention-based long short-term memory (AT-LSTM) and attention-based bidirectional LSTM (AT-BiLSTM) models. The time-series nature of network traffic data, which changes continuously over time, makes LSTM and BiLSTM particularly effective in handling intrusion detection. These models can capture long-term dependencies in the sequence of events, learn the patterns of normal network behaviour, and detect deviations from this behaviour that may indicate an intrusion. Also, the attention mechanism in the proposed models lets them make predictions based on the most important parts of the network traffic data. This is important for finding intrusions because network traffic data can have many different features, not all of which are important for finding an attack. The attention mechanism lets the models learn which features are most important for making accurate predictions, which improves their performance and efficiency. The UNSW-NB15 benchmark dataset is used in the study to measure and compare the effectiveness and reliability of the proposed system. This dataset contains normal and attack traffic data with a significant class imbalance. To address this issue, the study employs the Synthetic Minority Over-sampling Technique (SMOTE) to balance the dataset, thus reducing the risk of overfitting to the majority class and improving the model's performance in detecting attacks. The performance evaluation results demonstrate that the proposed models achieved a detection rate of over 93%, indicating high precision in detecting intrusions. By harnessing the power of deep learning, these models can learn and adapt to new threats over time, thus ensuring data confidentiality, integrity, and availability in today's interconnected world.
Designing an Email Attack by Analysing the Victim’s Profile. An Alternative Anti-Phishing Training Method
Authors: Lappas Dimitrios , Karampelas Panagiotis
Published: June 2023

According to Thomson-Reuters the top cyber threat today is phishing in which people are tricked either to click a malicious link or give out personal information. It’s a fact that 96% of these phishing attacks comes from emails, which amount to more than 3.4 billion daily, as reported by Cisco. Austrian aerospace company FACC, Belgian bank Crelan, Acorn financial services and many other companies were recently fell victims of phishing emails losing millions of dollars. Even if experts provide lists of signs that users should seek in an email in order to understand if it is legitimate or scam, the attackers have elevated the quality of the email messages making them believable and very hard to discern them. In order to respond to this elevated threat, unconventional user training is required, focusing on recognizing a phishing email. Knowing how an attacker thinks and prepares the attack vector against a target, we claim that it will make users more suspicious when they receive one. In this regard, an innovative education intervention (consisted of two phases) was designed and developed. In the first phase, 98 participants were asked to visit an artificial social media profile and prepare a phishing email in order to persuade the victim to click a link. Then, the participants were presented with an innovative guided workflow to prepare a spear phishing email which was based on social media intelligence. In the second phase, they were asked to prepare one more email for the same person applying this time the guided workflow. Comparing the two different emails created, we found that the guided workflow led to the creation of more authentic emails which could potentially trick the victim easier. Based on the theory of active learning, we believe that by teaching users how attackers exploit their personal information in order to develop their attack vectors, it will increase their awareness not only for the typical phishing emails but also for more sophisticated spear phishing attacks.
Digital Forensic Readiness Model for Internet Voting
Authors: Muyambo Edmore , O. Baror Stacey
Published: June 2023

Voting is an exercise of choosing a preferred candidate through a process called an election. In many countries, this exercise is a basic human right. In every election process, there are some pre-requisite processes and procedures which must be set up first. These are essential in the pre-vote-casting stage, during vote-casting and post-vote-casting stage. Electoral disagreements amongst stakeholders and parties of interest are usually experienced in each of the above-mentioned voting process stages. The main points of conflict in an election process are vote rigging and vote fraud. Failure to amicably mitigate these issues can result in a criticised/rejected election result. Therefore, this research aims to address the problem of vote rigging and vote fraud allegations in an election process. The resolution thereof is achieved through the introduction of an online based voting system which is supported by a digital forensic readiness mechanism. Online voting system gives citizens the flexibility to use internet-enabled devices such as cell phones and laptops to cast their votes in a safe, secrete and secure protocol. To address the problem of vote rigging and vote fraud, the online voting system is integrated with cyber security and vote protection mechanisms. The cyber security and vote protection mechanism is based on Blockchain algorithms. A Blockchain-based voting process is a peer-to-peer mechanism where a decentralised database is used to store data. Tokens move directly from one peer (voter) to another peer (candidate). The results are tallied by counting the number of tokens paid to each candidate. Each voter is allocated a Bitcoin token and each candidate is allocated a Bitcoin address. During vote casting, the voter transfers their Bitcoin token into the wallet of a registered candidate. At the end of the voting process, the total number of Bitcoin tokens transferred to each candidate is counted and tallied up. The wallet is loaded with only one Bitcoin token, hence there is no possibility of double voting. The model ensures vote security, anonymity, auditability, accountability, accuracy and uniqueness.
A Reflection on Typology and Verification Flaws in consideration of Biocybersecurity/Cyberbiosecurity: Just Another Gap in the Wall
Authors: Potter Lucas , Mossberg Kimberly , Palmer Xavier-Lewis
Published: June 2023

Verification is central to any process in a functional and enduring cyber-secure organization. This verification ishow the validity or accuracy of a state of being is assessed (Schlick, 1936; Balci, 1998). Conversely, breakdownin verification procedures is core to the interruption of normal operations for an organization. A key problemfor organizations that utilize biology as an interlock within their systems is that personnel lack sufficient abilityto verify all practically relevant biological information for procedures such as a nurse logging a blood draw, or amolecular biology technician preparing agar to culture microbes for study. This has several implications, one ofwhich is our diminished ability to approximate and defend against emerging biologically-linked cyberthreats.These could be in the form of mis- or dis-information, contaminants, or calculated threats to vital supplies.Two important questions to ask are: “What may be the implications of diminished ability to undergo strictverification measures (such as triple redundancy and technological distancing).” And “how does this impactour ability to anticipate and make changes for verification of biological processes?” This paper aims to discusskey areas where verification gaps exist and how to bridgethos gaps. Towards this, we cover data integrity,implications of the lack of verification, triple redundancy, technological distancing, biosafety concerns, andmore. All of this will factor into the ability of organizations with proximity to biosecurity to anticipate nationalchanges to biological processes that are nationally relevant.
A Commentary and Exploration of Maritime Applications of Biosecurity and Cybersecurity Intersections
Authors: Barnett Michaela , Samori Issah , Griffin Brandon , Palmer Xavier-Lewis , Potter Lucas
Published: June 2023

Prior work has discussed the emerging fields of Biocybersecurity (BCS) and Cyberbiosecurity (CBS) in multiple forms. These include the definition, mission-awareness, general applications, and policy (Murch et al, 2018; Peccoud et al, 2019; Potter et al, 2020). One area that has received relatively little attention are unique BCS/CBS vulnerabilities with maritime theaters, which refers to ocean and littoral-based commercial and military ventures. There is considerable ground for both bioeconomies and militaries to be placed at risk of degraded capacity for activity due to maritime-specific BCS/CBS attacks presently in the future. This is especially the case where aforementioned vulnerabilities are used to disrupt logistics through targeting of personnel and means of transport. This paper discusses the growing relevance of CBS/BCS in maritime space, aspects of maritime environments that can be exploited for BCS attacks, possible BCS/CBS attacks in the near future, possible BCS/CBS means of defense and pre-emptive positioning, and discussion of BCS/CBS relevance in international policy, and differences in application. This paper aims to facilitate and accelerate discussion of BCS to spur helpful action in this area.
Influence Diagrams in Cyber Security: Conceptualization and Potential Applications
Authors: Chockalingam Sabarathinam , Maathuis Clara
Published: June 2023

Over the last years, cyber-attacks are increasing in organizations especially due to the use of emerging technologies and transformation in terms of how we work. Informed decision-making in cyber security is critical to prevent, detect, respond, and recover from cyber-attacks effectively and efficiently. In cyber security, Decision Support System (DSS) plays a crucial role especially in supporting security analysts, managers, and operators in making informed decisions. Artificial Intelligence (AI)-based techniques like Bayesian Networks, Decision Trees are used as an underlying approach in such DSSs. Furthermore, Influence Diagrams (IDs) possess the capability to support informed decision-making based on its existing applications in other domains like medical. However, the complete capability and potential of IDs are not utilised in cyber security especially in terms of its explainable nature for different stakeholders and existing applications in other domains. Therefore, this research tackles the following research question: “What are potential applications of Influence Diagrams (IDs) in cyber security?”. We identified applications of IDs in different domains and then translated it to design potential applications for cyber security issues. In the future, this will help both researchers and practitioners to develop and implement IDs for cyber security-related problems, which in turn will enhance decision-making especially due to its explainable nature for different stakeholders.
Modern approaches to the treatment of peptic ulcer disease and prospects for the use of biological therapy
Authors: Koshurba I. V. , Hladkykh F. V. , Chyzh M. O.
Published: June 2023

Digestive diseases are the sixth leading cause of death in the world and accounted for more than 2.5 million deaths in 2019. In Ukraine, mortality from diseases of the digestive system is recorded as one of the highest in the world, and the leading place in the general structure of diseases of the digestive system is occupied by peptic ulcer disease (РUD).

The aim of the study. Summarize current information on the etiology and the pathogenesis of РUD and characterize modern approaches to the treatment of patients with РUD and the prospects of biological therapy.

Materials and methods. Publications were selected based on the PubMed, Clinical Key Elsevier, Cochrane Library, eBook Business Collection, and Google Scholar databases, which covered information on the etiology, pathogenesis, and approaches to the treatment of РUD.

Results. Standard first-line anti-Helicobacter therapy consists of a proton pump inhibitor and two antibiotics, such as clarithromycin and amoxicillin or metronidazole. A promising direction in the treatment of РUD is the use of biological therapy. According to literature sources, the prophylactic use of cryoextract of the placenta in indomethacin gastric lesions has an anti-ulcer effect at the level of 69.1 % and 92.1 % in diclofenac sodium gastric lesions. In addition, the specified cryoextract is capable of leveling the gastrotoxic effect of acetylsalicylic acid, ibuprofen, stress factor and chemical ulcerogens.

Conclusions. Today, there is a great need for cell therapy that could be put into practice in clinically relevant volumes. The most promising directions of biological therapy in gastroenterology are considered to be the use of mesenchymal stem cells and agents obtained from the fetoplacental complex.
Economía política crítica y los estudios CTS: algunas reflexiones
Authors:   Universidad Autónoma de Zacatecas, Alcázar Quiñones Ariamnis Tomasa
Published: June 2023

El artículo propone un breve análisis teórico sobre dos matrices disciplinares: economía política crítica de Karl Marx y los estudios sociales en ciencia y tecnología (CTS), en especial el análisis sociotécnico (AST). La tesis esencial sostiene que ambas matrices, desde el enfoque de la transdisciplina, pueden enriquecerse mutuamente para la comprensión de procesos de cambio tecnológico en contextos locales, en especial en países subdesarrollados donde las dinámicas de aprendizaje, de tecnologías y conocimientos suelen ser extremadamente complejas, teniendo en cuenta el grado de desarrollo de las distintas economías de la región latinoamericana. Hacia el final se ilustran las conclusiones.
La teoría de la acumulación por despojo, apuntes críticos desde la economía política
Authors:   Universidad Autónoma Chapingo, Contreras Piña Lenin Vladimir
Published: June 2023

La acumulación por despojo es un concepto que adquirió una gran preponderancia en los estudios sociales en los últimos años. Aparece en diversos autores como continuidad de la acumulación primitiva explicada por Marx en el capítulo XXIV de El capital. Además, se le ha otorgado una capacidad explicativa, que igual puede usarse para analizar fenómenos de nuevos cercamientos hasta procesos de desmantelamiento de unidades de producción campesina, procesos de privatización de empresas y bienes públicos, extractivismo, extracción de excedente y fenómenos de desterritorialización. Sin embargo, es posible que tal estiramiento del concepto no sólo comprometa su claridad y ubicación histórica, sino también, al restar importancia a la teoría valor-trabajo y la renta de la tierra, mistifique teóricamente la acumulación de capital y omita que esta es una teoría de la explotación y los conflictos de clase. El presente ensayo intentará abordar, desde la economía política, estos problemas teóricos con el objetivo de analizar el papel de la acumulación por despojo en la reproducción estructural del capital, mediante la revisión crítica de la obra de autores como Harvey, Federici, De Angelis, Magdoff, Mies, entre otros.
Uso de la triangulación en la investigación en ciencias sociales: alcances y desafíos
Authors:   Universidad Autónoma de Zacatecas, Chávez Elorza Mónica Guadalupe , Alfaro Aramayo Martha Yolanda ,   Universidad Mayor de San Simón
Published: June 2023

La triangulación es un concepto con varias acepciones y, por tanto, aplicaciones en la investigación en las ciencias sociales, en general, y en particular en los estudios críticos del desarrollo. La triangulación, por una parte, es vista como una manera con la cual llevar a cabo un tipo de investigación mixta simultánea, que posibilita complementar los resultados de los enfoques cuantitativo (cualitativo) y cualitativo (cuantitativo). Por otra parte, la triangulación puede ser de cuatro tipos: de fuente de datos, investigadores, métodológica y teórica. Este texto analiza los alcances y desafíos de ponerla en práctica.
Hubungan Pengetahuan Keluarga tentang Tanaman Obat Keluarga Daun Mimba untuk Diabetes Mellitus dengan Perilaku Penggunaan Daun Mimba sebagai Pengobatan
Authors: Murniati Anis , Miftakhul Nizar Angga , Tunjung Fitriani Evi , Rohmawati Indah , Kholidati Ratna
Published: June 2023

Tanaman Obat Keluarga (TOGA) merupakan tanaman yang ditanam di rumah dengan khasiat obat. TOGA tersebut pada dasarnya adalah tanaman yang ditanam di pekarangan sekitar rumah dan dapat digunakan sebagai tanaman obat. Tidak jarang TOGA hanya berfungsi sebagai tanaman hias saja tanpa dimanfaatkan sebagai tanaman obat. Hal tersebut terjadi karena berbagai alasan diantaranya takut mengkonsumsi atau kurang mengetahui khasiat dari toga yang ada salah satunya tentang khasiat beberapa TOGA yang dapat digunakan sebagai obat diabetes mellitus (DM) yaitu daun mimba. Oleh karena itu peneliti tertarik meneliti tentang pengetahuan keluarga tentang manfaat TOGA daun mimba yang berkhasiat untuk DM dengan perilaku dalam pemanfaatan TOGA daun mimba sebagai obat. Desain penelitian menggunakan cross sectional. Sampel penelitian adalah anggota keluarga yang berperan aktif dalam memberikan perawatan sehari-hari pada keluarganya yang memiliki DM  berjumlah 42 responden. Teknik yang digunakan adalah purposive Sampling. Analisa data menggunakan SPSS dengan spearman correlation. Hasil penelitian dari 42 responden,  sebagian besar mempunyai pengetahuan kurang yaitu sebanyak 27 responden (64%) dan  sebagian besar dari responden tidak memanfaatkan TOGA untuk pengobatan yaitu sebanyak 24 responden (57%).. Hasil SPSS didapatkan P = 0,000 dan <; α = 0,05 menunjukkan bahwa pengetahuan mempengaruhi  perilaku keluarga. Sebagai saran untuk meningkatkan perilaku pemanfaatan TOGA daun mimba untuk anggota keluarga dengan DM, maka perlu dilakukan penyuluhan pada masyarakat tentang khasiat dan dosis tepat yang bisa digunakan supaya mendapatkan khasiat yang maksimal
Modulo Practico: Procesamiento de estático relativo en BSW 5.4
Authors:   Centro de Procesamiento y Análisis Geodésico USC, Departamento de Ingeniería Geoespacial y Ambiental, Universidad de Santiago de Chile, Chile, Tarrío Mosquera José Antonio , Cáceres Venegas Catalina , Inzunza Muñoz Jesarella , Vásquez Tejo Valeria , Isla Rodríguez Fernando
Published: June 2023

Del 3 al 7 de julio de 2023 se realizará la 8ª Escuela SIRGAS sobre “Sistema de Referencia”. La Escuela tendrá lugar en la Universidad de Costa Rica y Universidad Nacional, en San José y Heredia, Costa Rica. La Escuela se llevará a cabo de manera presencial y se impartirá únicamente en español. Durante el bloque de prácticas se desarrollarán los temas necesarios para el procesamiento y ajuste de redes GPS/GNSS con BERNESE. Al finalizar el curso, se espera que los participantes sean capaces de: - Saber cuáles son los metadatos necesarios para procesar GNSS - Comprender los detalles del procesamiento GNSS - Montar un procesamiento GAMIT/BERNESE con datos propios - Utilizar GLOBK/BERNESE para realizar combinaciones diarias y semanales - Densificar IGS20 utilizando los datos de ejemplo
Trilogy of Islamic Teachings in Sufism
Authors: Intan Arifah Salastiani Intan
Published: June 2023

ABSTRACT

Every adherent of Islam knows for sure that Islam (al-Islam) is not valid without faith (al-Iman), and faith is imperfect without Ihsan (al-Ihsan). On the other hand, Ihsan is not possible without faith, nor is faith possible without Islamic initials. In further studies by experts, the meanings of the three terms are interrelated, even overlapping, so each contains the importance of the other two terms. In faith, there is Islam and Ihsan; in Islam, there is faith and Ihsan; in Ihsan, there is faith and Islam. From this perspective, we see faith, Islam, and Ihsan as a trilogy of divine teachings.

 

Keywords: âqîdah, shariah, fiqh, ihsân, sufism

 

 

ABSTRAK

Setiap pemeluk Islam mengetahui dengan pasti bahwa Islam (al-Islam) tidak absah tanpa Iman (al-Iman), dan iman tidak dapat sempurna tanpa Ihsan (al-Ihsan).  Sebaliknya, Ihsan adalah mustahil tanpa Iman, dan Iman juga tidak mungkin tanpa inisial Islam.  Dalam telaah lebih lanjut oleh para ahli, lanjut oleh para ahli, ternyata pengertian antara ketiga istilah itu terkait satu dengan yang lain, bahkan tumpang tindih sehingga setiap satu dari ketiga istilah itu mengandung makna dua istilah yang lainnya. Dalam Iman terdapat Islam dan Ihsan, dalam Islam terdapat Iman dan Ihsan, dan dalam Ihsan terdapat Iman dan Islam. Dari sudut pengertian inilah kita melihat Iman, Islam dan Ihsan sebagai trilogi ajaran Ilahi.
VIRTUES AND CHARACTER STRENGTHS OF KAZ AND NINA'S CHARACTERS IN THE NOVEL SIX OF CROWS
Authors: Reza Muhamad Bahtiar , Nitisari Dwi
Published: June 2023

This research was aimed to find out and compare the virtues and character strengths of Kaz and Nina's characters in the novel Six of Crows. The researchers used Peterson and Seligman's theory of virtue and character strengths. This research used the qualitative method. In the analysis of the 285 data found in this research, the researchers found 161 data indicating Kaz's virtues and character strengths and 124 data indicating Nina's virtue and character strengths. Both characters possess all six virtues: wisdom and knowledge, courage, humanity, justice, temperance, and transcendence. The researchers found that Kaz and Nina possess twenty-one-character strengths. Kaz possesses all of the character strengths but love, citizenship, and gratitude, while Nina possesses all but fairness, leadership, and forgiveness and mercy. Based on the research findings, the researchers concluded that both Kaz and Nina possess all the virtues mentioned by Peterson and Seligman. Additionally, both characters possess the same number of character strengths which is twenty-one-character strengths, even though their character strengths are relatively different.
A escrita de vida nos movimentos de migração: relações tempo/espaço e efeitos de estranhamento
Authors: Fernandes Gláucio Geraldo Moura , Costa Leite Natália
Published: June 2023

Este trabalho tem como objetivo estudar os efeitos de estranhamento em narrativas de estudantes imigrantes e/ou em situação de refúgio sobre suas experiências no Brasil. A perspectiva teórica adotada se esboça no espaço da Linguística Aplicada em interface com a psicanálise e tem como compromisso contribuir para a construção de uma área de estudo responsiva às demandas sociais contemporâneas. Da análise é possível depreender que as experiências e vivências dos sujeitos no aqui-agora modificam inexoravelmente a imagem do lá (país de origem) e do então (no passado) e que a questão da mobilidade social e sua relação com a aprendizagem da língua portuguesa balizou construções imaginárias sobre o propósito da aprendizagem de uma língua estrangeira. Além disso, a língua estrangeira também se configurou como ponto pacífico entre o eu e o outro.
Evaluation of thermally activated defects behaviors in nitrogen-doped Czochralski silicon single crystals using deep level transient spectroscopy
Authors: Kajiwara Kaoru , Eriguchi Kazutaka , Fusegawa Kazuhiro , Mitsugi Noritomo , Samata Shuichi , Torigoe Kazuhisa , Harada Kazuhiro , Hourai Masataka , Nishizawa Shin-ichi
Published: June 2023

Thermally activated defect behaviors in nitrogen (N)-doped Czochralski silicon (Cz-Si) single crystals were investigated using deep level transient spectroscopy and quasi-steady-state photoconductance to confirm the crystals’ applicability in insulated gate bipolar transistors (IGBTs). The thermally activated defects, which were probably N-vacancy complexes and degraded the minority carrier lifetime, were detected with extremely low densities in N-doped Cz-Si compared with N-rich floating zone Si single crystals after heat treatments at 500 °C, resulting in a high remaining value of minority carrier lifetime. The difference was assumed to come from whether vacancies were released in the Si matrix during heat treatment. For the Cz-Si, vacancies were assumed to be strongly bound with oxygen atoms with concentrations of 1017 atoms cm−3. Therefore, vacancies were not released during heat treatment, resulting in low remaining N-vacancy complex densities. N-doped Cz-Si are potential materials for IGBTs because of their low densities from thermally activated defects.
Reaction mechanisms of Sn-complex-side-chain polymer used for extreme ultraviolet lithography, studied by electron pulse radiolysis and γ-radiolysis
Authors: Takata Yui , Muroya Yusa , Kozawa Takahiro , Machida Kohei , Enomoto Satoshi , Naqvi Bilal , De Simone Danilo
Published: June 2023

The development of highly sensitive resists containing tin, which has a large EUV absorption cross section, has recently attracted considerable attention in EUV lithography. The effective utilization of secondary electrons is required for the development of high-performance resists. It is important to design resist materials on the basis of the mechanism of radiation chemical reactions. In this study, the radiation-induced reactions of tetraphenyltin (TPSn), triphenylsulfonium triflate (TPS-Tf), and the copolymer of triphenyl(4-vinylphenyl) stannane (TPSnSt) and 4-methacryloxyphenyldiphenylsulfonium triflate (MAPDPS-Tf) were investigated by electron pulse radiolysis and γ-radiolysis in controlled reaction systems. The decomposed products were analyzed by high-performance liquid chromatography. The G values of decomposed products were determined. For the copolymer, the holes generated by ionizing radiations moved to Sn units and electrons moved to TPS-Tf units. The tin complex side chain decomposed, producing benzene after hole transfer.
Can Mentimeter Become an Innovative Media in Sharf Learning?
Authors: Faizmailiatus Sofa  , Zainal Arifin Ahmad  , Nasiruddin  , Syiva Nurul Afifah
Published: June 2023

The main objective of this research is to describe whether Mentimeter can be an innovative solution environment applied to Sharaf learning which is caused by the unenthusiasm and inactivity of students in Sharf learning in the Arabic Language Education study program at UIN Sunan Kalijaga. The study was conducted in a qualitative descriptive manner and its subject was Sharf's learning. This technique gathering data for this research in the form of documents, interviews, and observations. And the analysis technique uses presentation, condensation, and inference of data. Mentimeter is capable and capable of being an innovative medium for learning Sharf. With Mentimeter, it will raise student attention so that students will focus during learning. This can increase student enthusiasm for learning, making them carry out teaching and learning activities to the fullest. However, due to limited time, the use of multimeters in Sharf learning has not been able to run optimally and not all students have answered the questions posed in Mentimeter.
SEXUALIDADE E PANDEMIA DE COVID-19 NO BRASIL
Authors: Zerbinati João Paulo , Bruns Maria Alves de Toledo , Mandruzato Gretta Kerr
Published: June 2023

A pandemia de COVID-19 é um marco histórico, com implicações à saúde, educação, economia e política mundial, que afetaram, inclusive, a sexualidade, as relações afetivas e sexuais do sujeito contemporâneo. Este trabalho buscou compreender a sexualidade no contexto da pandemia de COVID-19, especialmente no Brasil. Trata-se de uma Revisão Integrativa da Literatura Científica, com critérios sistematizados de busca, inclusão, exclusão e análise em duas grandes bases de dados científicos, a saber, Scientific Electronic Library Online (SciELO) e Centro Latino-Americano e do Caribe de Informação em Ciências da Saúde (BIREME). Os 16 trabalhos selecionados para esta pesquisa foram categorizados em seus principais eixos temáticos: (1) Saúde sexual; (2) Educação sexual; (3) Relacionamentos afetivos, sexuais e sociais em distanciamento e virtualidade; (4) Violência sexual. A partir dos dados coletados foi possível compreender que os distanciamentos social, afetivo e sexual provocados pela pandemia de COVID-19 potencializaram dificuldades nas relações afetivas e sexuais, tanto pela ausência do contato físico com outras pessoas, como pela presença de fatores estressantes, tais como: perda de trabalho, diminuição abrupta de renda, intensa e abusiva aproximação familiar, vulnerabilidade social e dificuldade no acesso à saúde integral, incluindo saúde sexual e emocional.
Document Forgery Detection
Authors:   Department of Computer Science and Engineering, PES University, Bangalore (Karnataka), India., N Nandini , C Madhura ,   Department of Computer Science and Engineering, PES University, Bangalore (Karnataka), India., K Keerthi Joshi ,   Department of Computer Science and Engineering, PES University, Bangalore (Karnataka), India., B Devprakash ,   Department of Computer Science and Engineering, PES University, Bangalore (Karnataka), India., Ladwani Vandana M ,   Department of Computer Science and Engineering, PES University, Bangalore (Karnataka), India.
Published: June 2023

Document forgery is an increasing problem for both private companies and public administrations. It can be said to represent the loss of time and resources. There are many classical solutions to these problems such as the detection of an integrated security pattern. In such cases, it is important that we resort to forensic techniques for the detection. The idea behind using these forensic techniques can also be implemented using artificial intelligence/machine learning which can be of lower cost and can provide the same or better results. The experimental result shows that multiple models have strong detection capability to detect multiple forgeries. In this paper, we have developed a different approach to detecting forgery in a document. The forgery we detect can be classified as hand-written signature forgery and copy-move forgery of any photo, text, or signature. We have developed a novel approach using capsule layers to detect a forgery in handwritten signatures. We also use ELA (Error Level Analysis) to detect any error in the compression levels of the image.
Applying Decision Tree Algorithm Classification and Regression Tree (CART) Algorithm to Gini Techniques Binary Splits
Authors:   Asst. Professor, Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia., Sharma Dr. Nirmla , Iqbal Sameera Iqbal Muhmmad ,   Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.
Published: June 2023

Decision tree study is a predictive modelling tool that is used over many grounds. It is constructed through an algorithmic technique that is divided the dataset in different methods created on varied conditions. Decisions trees are the extreme dominant algorithms that drop under the set of supervised algorithms. However, Decision Trees appearance modest and natural, there is nothing identical modest near how the algorithm drives nearby the procedure determining on splits and how tree snipping happens. The initial object to appreciate in Decision Trees is that it splits the analyst field, i.e., the objective parameter into diverse subsets which are comparatively more similar from the viewpoint of the objective parameter. Gini index is the name of the level task that has applied to assess the binary changes in the dataset and worked with the definite object variable “Success” or “Failure”. Split creation is basically covering the dataset values. Decision trees monitor a top-down, greedy method that has recognized as recursive binary splitting. It has statistics for 15 statistics facts of scholar statistics on pass or fails an online Machine Learning exam. Decision trees are in the class of supervised machine learning. It has been commonly applied as it has informal implement, interpreted certainly, derived to quantitative, qualitative, nonstop, and binary splits, and provided consistent outcomes. The CART tree has regression technique applied to expected standards of nonstop variables. CART regression trees are an actual informal technique of understanding outcomes.