Deepfakes, misinformation and disinformation and authenticity infrastructure responses: Impacts on frontline witnessing, distant witnessing, and civic journalism

Frontline witnessing and civic journalism are impacted by the rhetoric and the reality of misinformation and disinformation. This essay highlights key insights from activities of the human rights and civic journalism network WITNESS, as they seek to prepare for new forms of media manipulation, such as deepfakes, and to ensure that an emergent “authenticity infrastructure” is in place to respond to global needs for reliable information without creating additional harms. Based on global consultations on perceived threats and prioritized solutions, their efforts are primarily targeted towards synthetic media and deepfakes, which not only facilitate audiovisual falsification (including non-consensual sexual images) but also, by being embedded in societal dynamics of surveillance and civil society suppression, they challenge real footage and so undermine the credibility of civic media and frontline witnessing (also known as “liar’s dividend”). They do this within a global context where journalists and some distant witness investigators self-identify as lacking relevant skills and capacity, and face inequity in access to detection technologies. Within this context, “authenticity infrastructure” tracks media provenance, integrity, and manipulation from camera to edit to distribution, and so comes to provide “verification subsidies” that enable distant witnesses to properly interpret eye-witness footage. This “authenticity infrastructure” and related tools are rapidly moving from niche to mainstream in the form of initiatives the Content Authenticity Initiative and Coalition for Content Authenticity and Provenance, raising key questions about who participates in the production and dissemination of audiovisual information, under what circumstances and to which effect for whom. Provenance risks being weaponized unless key concerns are integrated into infrastructure proposals and implementation. Data may be used against vulnerable witnesses, or the absence of a trail, for legitimate privacy and technological access reasons, used to undermine credibility. Regulatory and extra-legal co-option are also a fear as securitized “fake news” laws proliferate. The investigation of both phenomena, deepfakes and emergent authenticity infrastructure(s), this paper argues, is important as it highlights the risks related both to the “information disorder” of deepfakes as they challenge the credibility and safety of frontline witnesses and to responses to such “disorder,” as they risk worsening inequities in access to tools for mitigation or increasing exposure to harms from technology infrastructure.

Computer Vision Techniques in Manufacturing

Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comprehensive review of the state-of-the-art of these techniques and their applications in manufacturing industries. We survey the most common methods, including feature detection, recognition, segmentation and 3D modeling. A system framework of computer vision in the manufacturing environment is proposed, consisting of a lighting module, a manufacturing system, a sensing module, computer vision algorithms, a decision-making module, and an actuator. Applications of computer vision to different stages of the entire product life cycle are then explored, including product design, modeling and simulation, planning and scheduling, the production process, inspection and quality control, assembly, transportation, and disassembly. Challenges include algorithm implementation, data pre-processing, data labeling, and benchmarks. Future directions include building benchmarks, developing methods for non-annotated data processing, developing effective data pre-processing mechanisms, customizing computer vision models, and opportunities aroused by 5G.

Computer Vision Techniques in Manufacturing

Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a comprehensive review of the state-of-the-art of these techniques and their applications in manufacturing industries. We survey the most common methods, including feature detection, recognition, segmentation and 3D modeling. A system framework of computer vision in the manufacturing environment is proposed, consisting of a lighting module, a manufacturing system, a sensing module, computer vision algorithms, a decision-making module, and an actuator. Applications of computer vision to different stages of the entire product life cycle are then explored, including product design, modeling and simulation, planning and scheduling, the production process, inspection and quality control, assembly, transportation, and disassembly. Challenges include algorithm implementation, data pre-processing, data labeling, and benchmarks. Future directions include building benchmarks, developing methods for non-annotated data processing, developing effective data pre-processing mechanisms, customizing computer vision models, and opportunities aroused by 5G.

Adapting Nutrition Programming for Intergenerational Implementation

Practitioners frequently tailor programming to meet participant characteristics and logistic constraints, or to incorporate diverse participants, such as intergenerational programming. Adapted programming may be responsive but reduce impact on outcomes. With growing interest in and limited availability of intergenerational protocol, implementation science guides program tailoring to ensure that youth and older adults mutually benefit from adapted programming. We integrated guidelines for tailoring interventions (Framework for Reporting Adaptations and Modifications-Expanded: FRAME) and evidence-based intergenerational practice. We illustrate how program fidelity can be supported in intergenerational settings using examples from an adapted USDA-approved preschool nutrition curriculum delivered intergenerationally. Program acceptability, appropriateness, and feasibility were rated favorably by program stakeholders, and observational implementation data suggest fidelity can be maintained using evidence-based intergenerational strategies. Our findings support the potential for protocol developed for one age group to benefit youth and older adults when it is adapted using implementation and intergenerational guidelines.

MENELISIK POTENSI PPN INDUSTRI HASIL TEMBAKAU MELALUI SINERGI DJP-DJBC PADA KEGIATAN JOINT PROGRAM

ABSTRACT: This study aims to identify the business processes of the Tobacco Products Industry for cigarettes as well as to review and evaluate the implementation of the Joint Program conducted by DJP-DJBC. Using a combination of semi-structured and in-depth interviews with participant of Joint Program along with descriptive analysis of implementation data, it produces empirical evidence that synergies between agencies can contribute more to tax revenues. Implications for the Ministry of Finance to maintain and expand the scope of positive synergies between agencies that have an intersection area to escalate nation's prosperity. Keywords: joint program, IHT cigarettes, tax compliance, tax audit, tax invoice ABSTRAK: Penelitian ini bertujuan untuk mengenali proses bisnis Industri Hasil Tembakau (IHT) rokok serta mengulas dan mengevaluasi pelaksanaan Joint Program DJP-DJBC pada industri tersebut. Penelitian ini menggunakan kombinasi wawancara kepada pelaku Joint Program DJP-DJBC beserta analisis deskriptif data implementasi, menghasilkan bukti empiris bahwa sinergi antarinstansi dapat memberikan kontribusi lebih terhadap penerimaan perpajakan. Implikasi bagi Kemenkeu untuk tetap mempertahankan sekaligus memperluas cakupan sinergi positif antarinstansi yang mempunyai irisan dalam ruang lingkup pekerjaan demi terwujudnya kemakmuran bangsa. Kata Kunci: joint program, IHT rokok, kepatuhan pajak, pemeriksaan pajak, faktur pajak

Abstract 13678: Validation of the Termination of Resuscitation Rules in Detroit

Introduction: 326,000 patients suffer from an out of hospital cardiac arrest (OHCA) each year. The Termination of Resuscitation (TOR) criteria, which recommends termination when the arrest is unwitnessed by EMS, no shocks are administered, and no ROSC occurs, guides physicians in determining the futility of continuing CPR and transporting patients to the hospital. We examined compliance with current BLS TOR rules as well as assessed an alternate set of rules, with the goal of retrospectively deriving improved TOR guidelines for OHCAs in Detroit. Methods: This is a retrospective study utilizing non-traumatic OHCA cases in Detroit from January 1, 2017 to December 31, 2019, which includes time before and after BLS TOR guidelines were officially implemented (June 1, 2018). Data is extracted from the Detroit Cardiac Arrest Registry (DCAR). Patients younger than 18 years of age and arrests of traumatic origin or those with no resuscitation attempted were excluded. Results: BLS TOR criteria was applied to the pre-TOR implementation data with resulting specificity of 79% (95% CI: 50.7-80.8) and PPV of 97.3% (95% CI: 95.5-98.6). Survival to hospital discharge when termination was recommended was projected at 2.9% (13/444). Overall transportation rate was 85% (559/656). Post-TOR implementation, specificity was 88.9% (95% CI: 78.6-99.1) and PPV was 99.1% (95% CI: 98.3-99.9). Survival to hospital discharge was 0.88% (4/453) with a 69% (451/650) overall transportation rate. Post-hoc addition of age or EMS time to patient side increased transportation rates to 81% (529/650) and 88% (571/650), respectively, and decreased false positive terminations to 0.84% (2/237) and 0% (0/148), respectively. Conclusion: Overall survival when TOR was recommended as well as futile transportation rates decreased since the implementation of the BLS TOR guidelines in Detroit. Addition of EMS time to patient side or patient age to the current TOR guidelines suggested improved performance. Although the additional criteria resulted in higher transportation rates, these factors may be useful for physicians to consider when deciding to transport patients who meet the current TOR criteria. However, further derivation and validation are needed to create optimal TOR guidelines.

Seizing the opportunity?: how sustainable urban design will feature in the redevelopment of the central city of Christchurch to reduce CO₂ emissions from land transport

<p>Following devastating earthquakes in 2010 and 2011 in Christchurch, there is an opportunity to use sustainable urban design variables to redevelop the central city in order to address climate change concerns and reduce CO₂ emissions from land transport. Literature from a variety of disciplines establishes that four sustainable urban design variables; increased density, mixed-use development, street layout and city design, and the provision of sustainable public transport, can reduce car dependency and vehicle kilometres travelled within urban populations- widely regarded as indicators of the negative environmental effects of transport. The key question for the research is; to what extent has this opportunity been seized by NZ’s Central Government who are overseeing the central city redevelopment? In order to explore this question the redevelopment plans for the central city of Christchurch are evaluated against an adapted urban design matrix to determine whether a reduction in CO₂ emissions from land transport is likely to be achieved through their implementation. Data obtained through interviews with experts is used to further explore the extent to which sustainable urban design variables can be employed to enhance sustainability and reduce CO₂ emissions. The analysis of this data shows that the four urban design variables will feature in the Central Government’s redevelopment plans although the extent to which they are employed and their likely success in reducing CO₂ emissions will vary. Ultimately, the opportunity to redevelop the central city of Christchurch to reduce CO₂ emissions from land transport will be undermined due to timeframe, co-ordination, and leadership barriers.</p>

Seizing the opportunity?: how sustainable urban design will feature in the redevelopment of the central city of Christchurch to reduce CO₂ emissions from land transport

<p>Following devastating earthquakes in 2010 and 2011 in Christchurch, there is an opportunity to use sustainable urban design variables to redevelop the central city in order to address climate change concerns and reduce CO₂ emissions from land transport. Literature from a variety of disciplines establishes that four sustainable urban design variables; increased density, mixed-use development, street layout and city design, and the provision of sustainable public transport, can reduce car dependency and vehicle kilometres travelled within urban populations- widely regarded as indicators of the negative environmental effects of transport. The key question for the research is; to what extent has this opportunity been seized by NZ’s Central Government who are overseeing the central city redevelopment? In order to explore this question the redevelopment plans for the central city of Christchurch are evaluated against an adapted urban design matrix to determine whether a reduction in CO₂ emissions from land transport is likely to be achieved through their implementation. Data obtained through interviews with experts is used to further explore the extent to which sustainable urban design variables can be employed to enhance sustainability and reduce CO₂ emissions. The analysis of this data shows that the four urban design variables will feature in the Central Government’s redevelopment plans although the extent to which they are employed and their likely success in reducing CO₂ emissions will vary. Ultimately, the opportunity to redevelop the central city of Christchurch to reduce CO₂ emissions from land transport will be undermined due to timeframe, co-ordination, and leadership barriers.</p>

Pendataan dan Penyaluran Bantuan Langsung Tunai Dana Desa Penanggulangan Covid 19 oleh Pemerintah Desa Di Kecamatan Depati VII Kabupaten Kerinci

The data collection and distribution of the Village Fund Direct Cash Assistance (BLT) by the Village Head is the implementation of the Central Government program in order to help ease the economic burden of the poor who are affected by the Covid-19 outbreak. The data collection and distribution of Village Funds is carried out through the respective Village Heads so that the assistance can be distributed smoothly and on target according to the goals that have been set, including in the District of Depati VII, Kerinci Regency. However, in its implementation, data collection and distribution activities are in the spotlight because there are discrepancies with the expected goals. Therefore, this study aims to further discuss the implementation of data collection and distribution of the Village Fund BLT Fund in the District of Depati VII, Kerinci Regency and the problems encountered in it.

Perbedaan Prestasi Siswa Model Pembelajaran Kooperatif Tipe STAD dan NHT Materi Koordinat Kartesius

This study aims to determine whether there are differences in maths learning achievement between classes taught by cooperative learning model Student Team Achievement Division (STAD) type and class taught by cooperative learning type Numbered Head Together (NHT) in material sistim coordinat cartesius class VIII SMP Negeri 1 Kediri 2018/2019 school year. Data collection techniques in this study are test techniques with instruments in the form of learning achievement test, learning implementation observasion sheets and learning implementation. Data analysis techniques use descriptive statistics. Hypothesis test of students' final ability (posstest) with t-test of two parties at a significance level of 5% resulted in tcount <ttable namely 0,020 < 2.030 which means that there were nothing differences in mathematics learning achievement between classes taught by cooperative learning model Student Team Achievement Division ( STAD) and classes taught by the cooperative learning model Numbered Head Together (NHT) in material sistim coordinat cartesius class VIII SMP Negeri 1 Kediri academic year 2018/2019.