Systematic Data Analysis Research Articles

Quality 4.0: technologies and readiness factors in the entire value flow life cycle

ABSTRACT Due to the new enabling technologies, Quality Management has become data-driven management, allowing a systematic capture and analysis of quality data in real time. The purpose of this article is to present an empirical work about the impact caused by Industry 4.0 technologies on Quality Management through the entire enterprise value flow life cycle. A quantitative analysis was performed during August and September 2022 in Argentina. Findings indicate that medium and large companies make better use of new technologies for quality management, multinational ones are better qualified and pharmaceutical industry is the best prepared. The production phase is the one with the intensive use of new technologies, being IoT, Cybersecurity and Cloud Computing the most utilised. This is the first scientific study on influential technologies in Quality 4.0 in Argentina that empirically analysed Technologies 4.0 in each phase of the value flow life cycle.

Main reservoir controlling factors and diagenetic evolution of the Xiao'erbulak Formation of Tarim Basin, NW China: A case study of Well KPN1 in Kalpin area

The Cambrian subsalt dolomite in the Kalpin area of the Tarim Basin is an important reserve growth point and strategic replacement area. However, there is a lack of clear understanding regarding the formation mechanism of high-quality reservoirs in this region, which has hindered oil and gas exploration. This study aims to address this knowledge gap by providing a comprehensive description of the rock types and characteristics of the Xiao'erbulak Formation. Microscope observations, geochemical analyses, and interpretations of well logging data from Well KPN1 were used in this analysis. The Xiao'erbulak Formation can be divided into four members, arranged from bottom to top. The relatively high manganese (Mn) content (87–137.7 ppm), oxygen isotope composition (δ18O) with an average value of −6.37‰, and strontium isotope ratio (87Sr/86Sr) with an average value of 0.7109 indicate that dolomitization of the Xiao'erbulak Formation likely occurred during the penecontemporaneous-shallow burial period. The early formation of dolomite contributed to increased reservoir porosity and resistance to compaction during deep burial, which laid the foundation for reservoir formation. The carbon isotope composition (δ13C) of the Xiao 1 and Xiao 2 members exhibit frequent zigzag curves, indicating recurring progression/regression processes. The subsequent development of granular beach facies played a crucial role in reservoir formation in the Xiao 2 Member. Tectonic fractures and penecontemporaneous karstification controlled the reservoir characteristics of the Xiao 3 Member. Furthermore, this study provides an analysis of the diagenetic evolution model of Well KPN1 and examines the impact of diagenetic transformations on reservoir quality. The systematic analysis of downhole data from Well KPN1 serves as a foundational reference for comparative studies with other drilling sites in the area. It also offers valuable guidance for future exploration and deployment strategies in the northwest Tarim Basin.

Application of medical information system to identify dengue outbreak factors: Insights from a hyperendemic city in Malaysia

BackgroundDengue is widespread globally, but it is more severe in hyperendemic regions where the virus, its vectors, and its human hosts naturally occur. The problem is particularly acute in cities, where outbreaks affect a large human population living in a wide array of socio-environmental conditions. Controlling outbreaks will rely largely on systematic data collection and analysis approaches to uncover nuances on a city-by-city basis due to the diversity of factors. ObjectiveThe main objective of this study is to consolidate and analyse the dengue case dataset amassed by the e-Dengue web-based information system, developed by the Ministry of Health Malaysia, to improve our epidemiological understanding. MethodsWe retrieved data from the e-Dengue system and integrated a total of 18,812 cases from 2012 to 2019 (8 years) with meteorological data, geoinformatics techniques, and socio-environmental observations to identify plausible factors that could have caused dengue outbreaks in Ipoh, a hyperendemic city in Malaysia. ResultsThe rainfall trend characterised by a linearity of R2 > 0.99, termed the “wet-dry steps”, may be the unifying factor for triggering dengue outbreaks, though it is still a hypothesis that needs further validation. Successful mapping of the dengue “reservoir” contact zones and spill-over diffusion revealed socio-environmental factors that may be controlled through preventive measures. Age is another factor to consider, as the platelet and white blood cell counts in the “below 5” age group are much greater than in other age groups. ConclusionsOur work demonstrates the novelty of the e-Dengue system, which can identify outbreak factors at high resolution when integrated with non-medical fields. Besides dengue, the techniques and insights laid out in this paper are valuable, at large, for advancing control strategies for other mosquito-borne diseases such as malaria, chikungunya, and zika in other hyperendemic cities elsewhere globally.

PERAN BADAN NARKOTIKA NASIONAL DALAM INTERVENSI BERBASIS MASYARAKAT UNTUK MENGURANGI PENYALAHGUNAAN NARKOBA (Studi Deskriptif Pada Remaja di Desa Pesanggrahan Kota Batu)

The problem of drugs has become a global issue and is a problem in many countries. This shows that drug crime has become a transnational and dangerous activity. The condition of drug abuse and illicit trafficking has now penetrated to the rural level, and has even spread to remote villages. With a government program that focuses on the welfare of rural communities and has an impact on improving the village economy, it turns out that the village is a potential market for drug dealers. This study aims to determine the role of the National Narcotics Agency in reducing Drug Abuse through Community-Based Interventions. This research uses descriptive research type and qualitative research approach. Determination of the research location using a purposive area technique. The technique of determining the informants used purposive sampling. Data collection techniques were carried out using observation, interviews, and documentation. Techniques for systematic data analysis are data collection, data reduction, data display, conclusion drawing, and verification. In this study, researchers used the technique of data validity triangulation of sources The results showed that the role of the National Narcotics Agency in Reducing Drug Abusers through Community-Based Interventions included: 1. The National Narcotics Agency played a role in the initial formation of the Community-Based Intervention Program, 2. The National Narcotics Agency played a role in providing assistance to face various obstacles, 3 The National Narcotics Agency plays a role in facilitation, namely providing motivation and support, 4. The National Narcotics Agency plays a role in initial monitoring and final monitoring to record weaknesses and problems encountered, 5. The National Narcotics Agency plays a role in evaluation to find out whether the program or activity is achieving results desired or not as a consideration in making decisions regarding program planning and program implementation.

Modeling-based prediction tools for preimplantation genetic testing of mitochondrial DNA diseases: estimating symptomatic thresholds, risk, and chance of success.

Preimplantation genetic testing (PGT) has become a reliable tool for preventing the germline transmission of mitochondrial DNA (mtDNA) variants. However, procedures are not standardized across mtDNA variants. In this study, we aim to estimate symptomatic thresholds, risk, and chance of success for PGT for mtDNA pathogenic variant carriers. We performed a systematic analysis of heteroplasmy data including 455 individuals from 187 familial pedigrees with the common m.3243A>G, m.8344A>G, or m.8993T>G pathogenic variants. We applied binary logistic regression for estimating symptomatic thresholds of heteroplasmy, simplified Sewell-Wright formula and Kimura equations for predicting the risk of disease transmission, and binomial distribution for predicting minimum oocyte numbers. We estimated the symptomatic thresholds of m.8993T>G and m.8344A>G as 29.86% and 16.15%, respectively. We could not determine a threshold for m.3243A>G. We established models for mothers harboring common and rare mtDNA pathogenic variants to predict the risk of disease transmission and the number of oocytes required to produce an embryo with sufficiently low variant load. In addition, we provide a table allowing the prediction of transmission risk and the minimum required oocytes for PGT patients with different variant levels. We have established models that can determine the symptomatic thresholds of common mtDNA pathogenic variants. We also constructed universal models applicable to nearly all mtDNA pathogenic variants which can predict risk and minimum numbers for PGT patients. These models have advanced our understanding of mtDNA disease pathogenesis and will enable more effective prevention of disease transmission using PGT.

E-Discharge Planning Berbasis Teknologi Informasi untuk Meningkatkan Kualitas Hidup Pasien Tuberkulosis Paru

This study aims to determine the impact of using an electronic debit scheme. The method used is systematic data analysis by reviewing the results of the literature on the use of electronic release regimens to improve the quality of life in pulmonary tuberculosis (TB) patients. The study results show that a literature review of 10 selected journals, electronic discharge planning can improve the quality of life of pulmonary tuberculosis (TB) patients. In conclusion, an electronic patient plan can increase self-care knowledge, adopt a healthy lifestyle, and improve quality of life.
 
 Keywords: Quality of Life, Patient Discharge Plan, Information Technology, Pulmonary Tuberculosis

Regarding the state of cybercrime prevention in Ukraine: problems of formation of official statistics

The article analyzes the types, forms, and content of statistical reporting reflecting the state and structure of cybercrime in Ukraine. It is noted that there is currently no clear definition of the concept of cybercrime in domestic legislation. Among scientists and practitioners, there is also no single approach to delineating the grounds for classifying illegal acts as such crimes. At the same time, such uncertainty has a negative impact on the effectiveness of countering cybercrime in Ukraine. The purpose of the article is a systematic analysis of available state statistical data related to cybercrime, persons who have committed cybercrime, and other data reflected in various sources; an assessment of the structure and content of such data and the possibilities of their use for the prevention and counteraction of cybercrime; coverage of problematic issues related to the formation of official statistical reporting on recorded cybercrimes. On the basis of official state statistical reporting prepared by the Office of the Prosecutor General of Ukraine and the State Judicial Administration of Ukraine, it is possible to analyze a small group of criminal offenses, namely, those provided for by the articles of Chapter XVI of the Criminal Code of Ukraine.
 Some of the «traditional crimes» that fall under the concept of cybercrime are reflected in the departmental statistical reporting of the National Police of Ukraine, but it does not cover all cybercrimes and, of course, takes into account only those that are under the jurisdiction of the National Police of Ukraine. It was concluded that there is no official state statistical reporting on cybercrime in Ukraine. Considering the high latency of this type of criminal offense, it can be stated that it is impossible to conduct an analysis that would fully and reliably reflect the state of cybercrime in Ukraine

а- бөлшектердің 9Be ядросымен соқтығысу кезіндегі серпімді шашырауының жаһандық заңдылықтары

The article investigates the characteristics of the experimental data of the elastic scattering cross section in the low-energy range of the a+9Be nuclear system. General regularities depending on the change in the energy of accelerated ions of the parameters of the obtained cross sections are established. Based on the analysis in the framework of the optical model (OM), energy-dependent optical interaction potentials in a wide range of energies were found.The energy regularity of potentials, revealed as a result of systematic analysis, makes it possible to predict with sufficient accuracy the cross-section of processes at energies at which experimental measurements were not carried out.The potential, which is a complex function of the interaction between nuclei, is an empirical measurement that describes the interaction in the scattering process.Studies of the dependence of the potential on external factors should be carried out individually for each nuclear system. Such analyses carried out in order to improve the accuracy of phenomenological theories should be based on a large array of experimental data. To clarify the truthfulness of the results of phenomenological approaches, it would be theoretically more correct to determine the global patterns of potentials and energy dependences of the full reaction cross-section.The article defines the energy dependence of the potentials and the total cross-section of the reaction based on a systematic analysis of the experimental data set in the energy range of laboratory Elab=30 - 60 MeV for the α+9Be process.Optimal values of the cross-section parameters satisfying global laws depending on the energy of the accelerating beam are found.

SPATIO-TEMPORAL ANALYSIS OF THE GROMBALIA AQUIFER DYNAMICS--NORTHERN EAST OF TUNISIA

Aquifer maps are key tools for water resources management, and allow to characterize a water table distribution and variability. The Grombalia plain in the northeast part of Tunisia was studied to identify the origin of groundwater recharge and to specify the type of recharge in the whole study area. It aims to investigate the impact of recharge schemes on the piezometric evolution of the water table. Furthermore, the purpose is to investigate the origin and dominant factor of the recharge. The methodology of this work includes two methods of analysis of the dynamics of the piezometric heads of this aquifer, namely the interpretation of piezometric maps for an evaluation of the spatial evolution and the study of piezometric sections. Both methods allow to distinguish between the different types of recharge, show which recharge sources is the most important in supplying the groundwater. In addition, they permit to analyze in detail the piezometric evolution and the impact of the various hydraulic structures on the piezometry. Without forgetting the naturel recharge coming directly from the soil surface and depending on the permeability, there is another natural recharge which comes from flooding areas. In Grombalia groundwater, this natural recharge occurs mainly at Wadi Ejjorf, Wadi Sidi Toumi and Wadi Ejdida sites. This recharge is accented for rainy years and mainly after flooding events. This study shows the picks at all the recharge sites between 1999 and 2009. However, an overexploitation of the aquifer was observed in Soliman-Fondok Jedid, Boucharray, Bou Argoub, which presented local depression zones. The used methodologies are very important tool to choose the best recharge site and allow to adjust the hydrodynamic models. In fact, there is an urgent need for assessing various aspects of ground water resources through a process of systematic data collection, analysis and synthesis.

A review of the effects of nutritional supplements on muscle strength and endurance in athletes

Athletes widely use nutritional supplements to increase muscle strength and endurance. This review aims to summarize the effects of commonly used dietary supplements on muscle strength and endurance in athletes. A literature search identified several dietary supplements studied for their impact on muscle performance, including protein supplements, creatine, beta-alanine, branched-chain amino acids (BCAAs), caffeine, nitrates, and vitamins and minerals. The review discussed the mechanisms by which this supplement affects muscle strength and endurance. The review methodology includes a systematic literature search, study selection, and data analysis. The review summarizes the effects of each type of supplement on muscle strength and endurance based on the available literature. The discussion includes an overview of the effectiveness and safety of using nutritional supplements to increase muscle strength and endurance in athletes, as well as limitations of studies reviewed and directions for future research. In conclusion, this review highlights the importance of choosing the right and safe nutritional supplements to improve muscle performance in athletes.

Real-world safety profile of riluzole: a systematic analysis of data from the FAERS database and case reports

ABSTRACT Background The study aims to obtain the safety profile of riluzole in the real world and provide reference for clinical drug applications. Research design and methods Proportional reporting ratio (PRR) was used to detect riluzole adverse drug reactions (ADRs) from the data between the first quarter of 2004 and the third quarter of 2022 in the FDA adverse event reporting system database (FAERS). Case reports of riluzole published in PubMed, Embase, and Web of Science before November 2022 were reviewed, and patient’s data were extracted. Results FAERS analysis identified 86 ADRs. Gastrointestinal system disorders and respiratory, thoracic, and mediastinal disorders account for 12 of the top 20 most frequent ADRs. Similarly, 9 of the 20 highest PRR ADRs were gastrointestinal system disorders and respiratory, thoracic, and mediastinal disorders. Twenty-two published riluzole-associated cases were identified in the literature. Respiratory, thoracic, and mediastinal disorders were the most commonly reported cases (n = 9), followed by gastrointestinal disorders, pancreatitis (n = 5). Conclusions Strong ADRs between riluzole and pancreatitis were identified, which reminds clinicians to monitor patients carefully. For patients with respiratory symptoms, clinicians should pay attention to distinguish the cause of their occurrence, and take appropriate measures. Beware that riluzole may increase the risk of inflammatory reactions and inappropriate vasopressin secretion and hyponatremia due to respiratory failure.

Transcriptomic analysis of World Trade Center particulate Matter-induced pulmonary inflammation and drug treatments

Over 400,000 people are estimated to have been exposed to World Trade Center particulate matter (WTCPM) since the attack on the Twin Towers in Lower Manhattan on September 11, 2001. Epidemiological studies have found that exposure to dust may cause respiratory ailments and cardiovascular diseases. However, limited studies have performed a systematic analysis of transcriptomic data to elucidate the biological responses to WTCPM exposure and the therapeutic options. Here, we developed an in vivo mouse exposure model of WTCPM and administered two drugs (i.e., rosoxacin and dexamethasone) to generate transcriptomic data from lung samples. WTCPM exposure increased the inflammation index, and this index was significantly reduced by both drugs. We analyzed the transcriptomics derived omics data using a hierarchical systems biology model (HiSBiM) with four levels, including system, subsystem, pathway, and gene analyses. Based on the selected differentially expressed genes (DEGs) from each group, WTCPM and the two drugs commonly affected the inflammatory responses, consistent with the inflammation index. Among these DEGs, the expression of 31 genes was affected by WTCPM exposure and consistently reversed by the two drugs, and these genes included Psme2, Cldn18, and Prkcd, which are involved in immune- and endocrine-related subsystems and pathways such as thyroid hormone synthesis, antigen processing and presentation, and leukocyte transendothelial migration. Furthermore, the two drugs reduced the inflammatory effects of WTCPM through distinct pathways, e.g., vascular-associated signaling by rosoxacin, whereas mTOR-dependent inflammatory signaling was found to be regulated by dexamethasone. To the best of our knowledge, this study constitutes the first investigation of transcriptomics data of WTCPM and an exploration of potential therapies. We believe that these findings provide strategies for the development of promising optional interventions and therapies for airborne particle exposure.

Tourist destination as an object of management in tourism

The purpose of the study is to analyze the theoretical and practical aspects of the formation and functioning of a tourist destination as an object of management in tourism. Methodology. The following methods are used to fulfill the tasks set in the article: systematic analysis, comparison and grouping of data - when clarifying the conceptual apparatus, researching approaches to the formation and features of the development strategy, when developing an approach to assessing the level of development of the main categories of tourist destinations; methods of retrospective, logical, mathematical, statistical and economic analysis - when determining the assessment of the main categories of resources of regional tourist destinations of Ukraine, methods of comparative, statistical, strategic, spatial analysis - when justifying the choice of the management strategy of tourist destinations, determining the organizational and economic support of the strategy for the development of tourist destinations of Ukraine. Scientific novelty. The author considered the theoretical and methodological approaches to defining the essence of the concept of «tourist destination». The main components of a tourist destination are outlined - attractions,amenities, accessibility, intermediaries and support services, organization of tourist activities, availability of a ready-made tourist product. Research results. It has been established that an important condition for the functioning of a tourist destination is its resources and image, which form the motives for travel and are the actual reason for the trip. The main types of destinations are characterized by various characteristics. The importance of destination management processes and the role of marketing mechanisms in them is emphasized. An analysis of marketing tools for the promotion of tourist destinations is presented. The key tasks in the management of tourist destinations are revealed.

Improving comparative analyses of Hi-C data via contrastive self-supervised learning.

Hi-C is a widely applied chromosome conformation capture (3C)-based technique, which has produced a large number of genomic contact maps with high sequencing depths for a wide range of cell types, enabling comprehensive analyses of the relationships between biological functionalities (e.g. gene regulation and expression) and the three-dimensional genome structure. Comparative analyses play significant roles in Hi-C data studies, which are designed to make comparisons between Hi-C contact maps, thus evaluating the consistency of replicate Hi-C experiments (i.e. reproducibility measurement) and detecting statistically differential interacting regions with biological significance (i.e. differential chromatin interaction detection). However, due to the complex and hierarchical nature of Hi-C contact maps, it remains challenging to conduct systematic and reliable comparative analyses of Hi-C data. Here, we proposed sslHiC, a contrastive self-supervised representation learning framework, for precisely modeling the multi-level features of chromosome conformation and automatically producing informative feature embeddings for genomic loci and their interactions to facilitate comparative analyses of Hi-C contact maps. Comprehensive computational experiments on both simulated and real datasets demonstrated that our method consistently outperformed the state-of-the-art baseline methods in providing reliable measurements of reproducibility and detecting differential interactions with biological meanings.

The Epidemiological and Clinical Manifestations of COVID-19 Variants in the Punjab Tertiary Care Hospitals

The first case of COVID-19 originated in China which then started spreading rapidly all over the world as a deadly pandemic. A huge number of people started to suffer due to the rapid attacks and virulent nature of the COVID-19 virus. This virus swiftly spreads from person to person. Initially considered as pneumonia due to similar signs and symptoms, with the passage of time its gravity was realized as compared to that of pneumonia. This virus attacks human respiratory system, damaging it to death. A survey was conducted during the pandemic to determine the prevalence and distribution of COVID-19 spread and its patient rate. Swabbed sticks were collected from different government and private hospitals following COVID-19 SOPs. A systematic data analysis was conducted by using different epidemiological tools to evaluate the prevalence and distribution rate of COVID across the country. Data was collected from all types of COVID-19 patients, including those on ventilator, admitted patients, patients with minor signs and symptoms, and patients having no symptoms but tested positive for COVID-19 by qRT-PCR. People who were already vaccinated were also included in this survey. A number of people showed positive vaccination effects, while most of them were not willing to receive vaccination. The study also illustrated that most of the patients who were admitted in hospitals showed severe symptoms, whereas some exhibited minor symptoms. It could be due to the fact that hospitals lack the facilities to accommodate every patient. Therefore, they only admit individuals with major symptoms and those having minor symptoms but with other complications. Whereas, patients with minor symptoms were referred to home isolation.

Ready to innovate during a crisis? Innovation governance during the first wave of COVID-19 infections in Iceland

ABSTRACT Previous studies on innovation governance have focused on the governance of science, technology, and innovation from a long-term perspective. In this article we focus on the short term by exploring the generation and use of new scientific and technical knowledge to address an urgent societal crisis. We empirically analyse the emergency response during the first wave of COVID-19 infections in Iceland using a conceptual framework based on three theoretical components, namely, emergency management, innovation governance, and the innovation process as a problem-solving process. The empirical analysis is built on a systematic analysis of secondary data. Based on the results, we conclude that improvisation processes using existing knowledge and capabilities and triggered by unanticipated problems during a crisis are in some cases sources of successful innovation. In these cases initial problem-solving processes characterized by improvisation can be interpreted as blind variations that are retained and diffused through a series of complementary problem-solving processes that generate and use new scientific and technical knowledge. Furthermore, we extend the concept of innovation governance readiness to include both the readiness to exploit technological opportunities and the readiness to address unanticipated problems during a crisis and propose that our extension is useful for integrating long-term and short-term aspects of innovation governance.

Cardinal models to describe the effect of temperature and pH on the growth of Anoxybacillus flavithermus & Bacillus licheniformis

Anoxybacillus flavithermus and Bacillus licheniformis are among the predominant spore-formers of heat-processed foods. To our knowledge, no systematic analysis of growth kinetic data of A. flavithermus or B. licheniformis is currently available. In the present study, the growth kinetics of A. flavithermus and B. licheniformis in broth at various temperature and pH conditions were studied. Cardinal models were used to model the effect of the above-mentioned factors on the growth rates. The estimated values for the cardinal parameters Tmin,Topt,Tmax,pHmin and pH1/2 for A. flavithermus were 28.70 ± 0.26, 61.23 ± 0.16 and 71.52 ± 0.32 °C, 5.52 ± 0.01 and 5.73 ± 0.01, respectively, while for B. licheniformis they were 11.68 ± 0.03, 48.05 ± 0.15, 57.14 ± 0.01 °C, 4.71 ± 0.01 and 5.670 ± 0.08, respectively. The growth behaviour of these spoilers was also investigated in a pea beverage at 62 and 49 °C, respectively, to adjust the models to this product. The adjusted models were further validated at static and dynamic conditions and demonstrated good performance with 85.7 and 97.4% of predicted populations for A. flavithermus and B. licheniformis, respectively, being within the −10%–10% relative error (RE) zone. The developed models can be useful tools in assessing the potential of spoilage of heat-processed foods including plant-based milk alternatives.

13 years of the amnesty programme in Nigeria: an assessment of its impact on the Niger Delta region

The study is aimed at assessing the impact of the amnesty programme in the Niger Delta Region over the 13 years period. The historical method of data collection involving a systematic and critical analysis of secondary data was adopted for the study. The findings indicated amongst other things that while the amnesty programme has succeeded in reducing youth restiveness in the Niger Delta Region, the general state of underdevelopment, environmental degradation, poor infrastructure, lack of sustainable employment still constitute visible features of the Niger Delta Region. The study further noted that the amnesty programme has been inundated by corruption, political manipulation/interference, poor monitoring and evaluation of the programme, delay in payment of stipends to ex combatants, lack of meaningful economic engagement activities for trained ex militants amongst others. Based on these findings, the following recommendations were outlined: there is need for transparency in the implementation of the programme, proper monitoring and evaluation of the programme, proper engagement in meaningful economic activities should also be made a priority. Furthermore, focus should be given to agricultural entrepreneurship and local communities should work with the Amnesty Programme to determine their unique development needs and objectives.

Pilot testing the EARS-Vet surveillance network for antibiotic resistance in bacterial pathogens from animals in the EU/EEA.

As part of the EU Joint Action on Antimicrobial Resistance (AMR) and Healthcare-Associated Infections, an initiative has been launched to build the European AMR Surveillance network in veterinary medicine (EARS-Vet). So far, activities included mapping national systems for AMR surveillance in animal bacterial pathogens, and defining the EARS-Vet objectives, scope, and standards. Drawing on these milestones, this study aimed to pilot test EARS-Vet surveillance, namely to (i) assess available data, (ii) perform cross-country analyses, and (iii) identify potential challenges and develop recommendations to improve future data collection and analysis. Eleven partners from nine EU/EEA countries participated and shared available data for the period 2016-2020, representing a total of 140,110 bacterial isolates and 1,302,389 entries (isolate-antibiotic agent combinations). Collected data were highly diverse and fragmented. Using a standardized approach and interpretation with epidemiological cut-offs, we were able to jointly analyze AMR trends of 53 combinations of animal host-bacteria-antibiotic categories of interest to EARS-Vet. This work demonstrated substantial variations of resistance levels, both among and within countries (e.g., between animal host species). Key issues at this stage include the lack of harmonization of antimicrobial susceptibility testing methods used in European surveillance systems and veterinary diagnostic laboratories, the absence of interpretation criteria for many bacteria-antibiotic combinations of interest, and the lack of data from a lot of EU/EEA countries where little or even surveillance currently exists. Still, this pilot study provides a proof-of-concept of what EARS-Vet can achieve. Results form an important basis to shape future systematic data collection and analysis.

Strengthening Social and Behavior Change Programming Through Application of an Adaptive Management Framework: A Case Study in Tanzania.

Integrated social and behavior change (SBC) programs seek to achieve changes in behaviors and norms across a range of health areas. Realizing changes across multiple behaviors is inherently complex and requires programs to be designed and implemented nimbly in ways that are responsive to feedback, new learning, and contextual shifts. Responsive feedback (RF) promotes just this kind of data analysis, use, and programmatic adaptation. Under the U.S. Agency for International Development (USAID)'s flagship SBC program in Tanzania, USAID Tulonge Afya, we applied FHI 360's SBC Adaptive Management Framework, which shares many similarities with RF. It includes meaningful engagement with an array of stakeholders throughout project design, implementation, monitoring, and evaluation (M&E); requires close collaboration between M&E and programmatic staff to ensure data collection and use are informed by and contribute to refinement of the project's theory of change; and incorporates purposeful, routine opportunities for learning and course correction. Accompanying the framework is a suite of tools and activities to facilitate systematic collection, analysis, and application of data for project design, improvement, and evaluation. Use of the framework within a complex, integrated SBC program improved our ability to address emerging priorities and achieve greater scale, saturation, and quality execution of activities. It also facilitated significant input from local communities and stakeholders-through shared data analysis and feedback loops-ensuring project activities reflected their strengths, needs, and preferences rather than the perspectives and biases of program implementers. In this article, we discuss the key components of the SBC Adaptive Management Framework and its commonalities with RF, how use of the framework and the underlying principles and elements of the RF approach contributed to the project's success, and share lessons that may strengthen and expand the application of RF and similar approaches within future SBC programs.