Origin Of Formation Research Articles

Time series classification with their image representation

The study is concerned with the problem of classification of multivariate time series using convolutional neural networks (CNNs). As CNNs regard inputs in the form of images, an original image-like format of temporal data is proposed. Along this line, several design alternatives are studied by forming images with the two corresponding coordinates built by the original temporal data and their differences and second differences. An overall design process is presented with a focus on investigating time series-image transformations. Experimental studies involving publicly available data sets are reported, along with a slew of comparative analyses.

Ni-Rich Cathode Active Materials Surface Degradation in Ambient Air with Stabilisation Treatment Proposal

Ni-rich cathode active materials, such as NMC811 (Li[Ni0.8Mn0.1Co0.1]O2), are promising cathode materials due to their higher theoretical capacity of 200mAh/g, lower cobalt ratio, and overall decreased material expenses. However, the material undergoes a phase transition from layered ( ) through spinel ( ) to rock salt ( ) at high state of charge with oxygen release, and formation of rock salt structures on the surface with lithium carbonates and lithium hydroxides (Residual Lithium Compound (RLC)) while material is exposed to ambient air, all of which is followed by an increase in surface impedance and a decrease in final battery performance.Here, we explore the chemical and electrochemical evaluation of the Ni-rich cathode active material surfaces when exposed to ambient air for fourteen days (RH~40%). The combination of Fourier-transform infrared spectroscopy (FT-IR) and electrochemical impedance spectroscopy (EIS) will be investigated. These complementary non-destructive approaches will be utilised to characterise the decomposition of the original layered surface and formation of RLC. In addition, the research will be evaluated using STA, XRD, formation, diffusion coefficient, and cycle life in a half-cell using lithium-ion discs as counter electrodes. Furthermore, we show a technique for stabilising the material in air using Experimental ElectroRite®1 Additive provided by Lubrizol Ltd. which reduces the formation of the RLC and the corresponding surface phase changes, often attributed to the presence of Ni2+ ions. This work contributes to a greater understanding of the surface stabilisation through chemical treatment required and suggests routes to create stable water-based Ni-rich cathode inks.

The Impact of Acculturation and Interpersonal Communication on the Adaptation of East African University Students in Malaysia

The objective of the study was to explore how acculturation and interpersonal communication impacts the adaptation of East African students in Malaysia. Research samples were selected strictly based on the original formation of East Africa (Kenya, Uganda and Tanzania), university students in Malaysia. Just like other international students these students face challenges to adapt in a new culture while striving to achieve their academic goals. To test the study’s hypotheses, a statistical package for service solution (SPSS) 20.0 was used to analyse data collected from 240 respondents. This study's theoretical framework was derived from Gu's (2008) Acculturation Scale for Asian International Students (ASAIS) and Rubin and Martin’s (1994) Interpersonal Communication Competence Scale (ICCS). These two studies were used independently to examine and identify any effects that acculturation may have on interpersonal communication. According to Pearson's correlation test, acculturation and interpersonal communication are all significantly negatively correlated. However, the results of the study indicated a significant difference in the length of stay and interpersonal communication for the adaptation of East African university students in Malaysia for the Independent t-test. In other words, the longer an international student stays in a country to pursue his or her goal, the better their interpersonal communication skills get. The results of this study show that both acculturation and interpersonal communication impacts the adaptation of these international students at different levels. This study looks forward to stimulating future studies of other international students’ acculturation processes from communication perception. Communication researchers can play a vital role in promoting understanding between and among ethnic communities and the host societies. Keywords: East African, acculturation, adaptation, interpersonal communication, Malaysia.

Geochemical prerequisites for the formation of oil and gas accumulation zones in the South Turgay basin, Kazakhstan

This study predicts favorable oil and gas source-rock formation conditions in the Aryskum Depression of the South Turgay Basin, Kazakhstan. This study assesses the thermal maturity and characteristics of organic matter by determining its environmental conditions using data from geochemical analysis of core (pyrolysis) and oil (biomarkers and carbon isotopic compositions) samples. According to the geochemical parameters obtained by pyrolysis, the oil generation potential of the original rocks of most studied samples varies from poor to rich. The facies–genetic organic matter is predominantly humic and less frequently humus–sapropel, indicating organic matter accumulation in the studied samples were under moderately reducing conditions (kerogen III and II types) and coastal–marine environments (kerogen type I). The carbon isotopic compositions of oils derived from the Jurassic deposits of the Aryskum Depression also indicate the sapropelic and mixed humic–sapropelic type of organic matter (kerogen II and I). Biomarker analysis of oils indicates original organic matter formation in an anoxic environment.

Father involvement in a comprehensive elementary school: building capacity and understanding

PurposeAs part of a larger grant-funded project, a professional development (PD) series was conducted within the framework of a school–university partnership to improve teachers’ capacity to meaningfully include fathers and father figures in the school environment, with a particular focus on fathers of children with disabilities. The authors sought to understand the extent to which a school-wide PD framed through the lens of a father of a child with a disability might inform practice with sustainable implementation. Due to the pandemic, the original format of the PD was redesigned for virtual delivery.Design/methodology/approachA three-phase data collection and analysis approach included a pre-PD survey, a post-PD survey and a one-year follow-up survey. All surveys included both quantitative and qualitative self-report data components.FindingsResults suggest school personnel found the virtual PD valuable, gleaning several useful strategies for reflecting on their own practices, working to improve communication with families of children with disabilities and more meaningfully including fathers and father figures in future school-related activities and programing.Research limitations/implicationsFirst, the sample size of the present study was small, and participation was variable across PD sessions. In addition, participants self-selected into the series, and therefore, they may be more likely to value father-figure involvement with or without participation in the PD series. The small sample size may minimize the generalizability of these results across other replicable settings and participants. Second, the results of the pre-PD survey could be positively skewed since the university partner’s initial delivery of PD related to this topic began in 2018. In the pre-PD survey, the majority of respondents indicated, as an example, that they believed father involvement was correlated with higher academic achievement. It is not clear if respondents held these beliefs independently at the inception of the partnership or if they perhaps learned of these connections during an earlier PD offered by the authors.Practical implicationsThe current study offers a small glimpse into the world of a school–university partnership and its ability to actualize meaningful reflection on family engagement practices. Results also indicate a greater awareness of significant male figures/fathers and their needs. Content delivered during each PD supports capacity building in terms of teachers’ ability to see fathers and father figures as meaningful contributors within the context of the school environment. Participants mentioned that the PD taught them ways to recognize and remediate some of the insidious communication barriers that exist.Social implicationsParticipants stated that they grew in their understanding of intentional connections with significant male figures, noting a concerted effort to ensure communication of information pertaining to school events, conferences and, in some cases, individualized educational programs (IEPs). Staff members also felt as though the pandemic fostered greater connections with fathers who were working at home and who were simultaneously helping their children access online learning platforms. However, it is noteworthy that the latter benefit was likely a positive side effect of mandatory home-based learning as opposed to a direct result of the present study. Socially, the authors all find ourselves embarking on a bit of social uncertainty, where perhaps it is no longer appropriate or significant to mention one's gender. Nonetheless, the research highlights the unique contributions that fathers and father figures can make to children's positive trajectory, and the authors espouse that the current study suggests that virtual PD sessions can help train school personnel to recognize and foster such relationships.Originality/valueThe past few decades have ushered in an awareness of significant male involvement and its importance in the development of young children. Despite this surge of interest, the research on father/significant male involvement in the school context remains limited. Additionally, the implementation of virtual PD and its potential positive impacts remain largely unexplored, especially when the intersection with father engagement practices is considered. As such, the authors espouse that the present study reflects a unique combination of content and pedagogy.

The implementation, use and impact of patient reported outcome measures in value-based healthcare programmes: A scoping review.

Value-Based Healthcare (VBHC) focuses on the value of patient outcomes and is achieved by ensuring resources already available are managed to realise the best possible individual and population health outcomes. Patient reported outcome measures (PROMs) measure the impact of illnesses from the patient perspective. We conducted a scoping review to understand how PROMs were implemented and used, and their impact in the context of VBHC. Arksey and O'Malley's overarching framework supplemented by principles from mixed-methods Framework Synthesis were used. CINAHL, Cochrane Library, EMBASE, MEDLINE, PsycINFO, Web of Science, Google Scholar and reference lists were searched. An a priori data extraction framework was created using the review question and objectives as key domains against which to extract data. Mixed-methods data were organised, integrated and preserved in original format and reported for each domain. Forty-three studies were included with 60,200 participants. Few studies reported a well-developed programme theory and we found little robust evidence of effect. PROMs were universally considered to have the potential to increase patient satisfaction with treatment and services, enhance patient awareness of symptoms and self-management, and improve health outcomes such as quality of life and global health status. Evidence is currently limited on how PROMs work and how best to optimally implement PROMs to achieve the target outcome. Implementation challenges commonly prevented the realisation of optimal outcomes and patients generally needed better and clearer communication about why PROMs were being given and how they could optimally be used to support their own self-management. PROMSs have yet to demonstrate their full potential in a VBHC context. Optimal PROMs implementation is poorly understood by clinicians and patients. Future studies should explore different models of PROM implementation and use within VBHC programmes to understand what works best and why for each specific context, condition, and population.

Data Lakes: A Survey of Functions and Systems

Data lakes are becoming increasingly prevalent for big data management and data analytics. In contrast to traditional ‘schema-on-write’ approaches such as data warehouses, data lakes are repositories storing raw data in its original formats and providing a common access interface. Despite the strong interest raised from both academia and industry, there is a large body of ambiguity regarding the definition, functions and available technologies for data lakes. A complete, coherent picture of data lake challenges and solutions is still missing. This survey reviews the development, architectures, and systems of data lakes. We provide a comprehensive overview of research questions for designing and building data lakes. We classify the existing approaches and systems based on their provided functions for data lakes, which makes this survey a useful technical reference for designing, implementing and deploying data lakes. We hope that the thorough comparison of existing solutions and the discussion of open research challenges in this survey will motivate the future development of data lake research and practice.

Assessment of Depth of Mud-Filtrate Invasion and Water Saturation Using Formation-Tester Measurements: Application to Deeply Invaded Tight-Gas Sandstones

Formation pressure/fluid measurements are impacted by mud-filtrate invasion, which may require long fluid pumpout durations to acquire hydrocarbon samples with minimal mud-filtrate contamination. However, unlike other well-logging instruments, formation testers do not have a fixed depth of investigation that limits their ability to pump out mud filtrate until acquiring original formation fluids (i.e., sensing the uninvaded zone). We use an in-house petrophysical and fluid-flow simulator to perform numerical simulations of mud-filtrate invasion, well logs, and formation-tester measurements to estimate the radial distance of invasion and the corresponding radial profile of water saturation. Numerical simulations are initialized with the construction of a multilayer petrophysical model. Initial guesses of volumetric concentration of shale, porosity, water saturation, irreducible water saturation, and residual hydrocarbon saturation are obtained from conventional petrophysical interpretation. Fluid-flow-dependent petrophysical properties (permeability, capillary pressure, and relative permeability), mud properties, rock mineral composition, and in-situ fluid properties are obtained from laboratory measurements. The process of mud-filtrate invasion and the corresponding resistivity and nuclear logs are numerically simulated to iteratively match the available well logs and estimate layer-by-layer formation water saturation. Next, using our multiphase formation testing simulator, we numerically simulate actual fluid sampling operations performed with a dual-packer formation tester. Finally, we estimate irreducible water saturation by minimizing the difference between the hydrocarbon breakthrough time numerically simulated and measured with formation-tester measurements. The examined sandstone reservoir is characterized by low porosity (up to 0.14), low-to-medium permeability (up to 40 md), and high residual gas saturation (between 0.4 and 0.5). The deep mud-filtrate invasion resulted from extended overbalanced exposure to high-salinity water-based mud (17 days of invasion and 1,800 psi overbalance pressure) coupled with the low mud-filtrate storage capacity of tight sandstones. Therefore, the uninvaded formation is located far beyond the depth of investigation of resistivity tools, whereby deep-sensing resistivities are lower than those of uninvaded formation resistivity. Through the numerical simulation of mud-filtrate invasion, well logs, and formation-tester measurements, we estimated radial and vertical distributions of water saturation around the borehole. Likewise, we quantified the hydrocarbon breakthrough time, which matched field measurements of 6.5 hours. The estimated radius of invasion was approximately 2.5 m, while the difference between estimated water saturation in the uninvaded zone and water saturation estimated from the deep-sensing resistivity log was approximately 0.13, therefore improving the estimation of the original gas in place.

Validation of the Italian Version of the Community of Inquiry Survey

This work presents the process of validation of the community of inquiry (CoI) survey in its Italian version. For over two decades, the CoI framework has been used to conceptualize online higher-order teaching/learning experiences as processes of inquiry in which participants collaborate in discourse and critical reflection to cocreate knowledge and achieve meaningful learning. The CoI is hinged on the mutual interaction of three dimensions named presences: teaching presence, social presence, and cognitive presence. The official survey to detect the level of presence perceived by learners has been predominantly conducted in English. In recent years, a number of scholars have deemed that its original format suits at least a B2 level of English proficiency, and several translations in other languages have been validated. Accordingly, the validation of the Italian version aims to improve the accuracy of the CoI questionnaire conducted among native Italian learners (n = 234). Analyses show satisfactory outputs in terms of validity and reliability of the 34 Likert-scale items, whilst adaptations to other languages open new perspectives grounded on cultural variables.

Enhancing body image in motherhood: A randomised controlled trial of Expand Your Horizon among mothers of young children

Motherhood can increase vulnerability to body dissatisfaction, but positive body image interventions may mitigate this. Expand Your Horizon (Alleva et al., 2015), an online writing intervention, enhances functionality appreciation, an aspect of positive body image. The intervention’s demonstrated efficacy and focus on body functionality indicate its potential use among mothers. However, its original 3-session format may be unfeasible for mothers alongside other commitments. Thus, we tested the impact of a single 15-minute Expand Your Horizon session on state body appreciation and functionality appreciation. Mothers (N = 143) of 0–10-year-olds were randomly allocated to either the intervention group, or an active control group. State body appreciation and functionality appreciation were assessed pre- and post-intervention. Trait self-compassion was tested as a potential moderator. Participants who completed Expand Your Horizon reported greater state body appreciation and functionality appreciation post-intervention than those in the control group. Self-compassion moderated the intervention’s effect on state functionality appreciation, with effects strongest for those with lower levels of self-compassion. Overall, findings support the intervention’s suitability for mothers, particularly those with low self-compassion. Practical implications include possibly tailoring Expand Your Horizon and similar interventions to benefit all mothers. Future research directions include longitudinal and qualitative designs, and extension to other specific populations.

Adjustable privacy using autoencoder-based learning structure

Inference centers need more data to have a more comprehensive and beneficial learning model, and for this purpose, they need to collect data from data providers. On the other hand, data providers are cautious about delivering their datasets to inference centers in terms of privacy considerations. In this paper, by modifying the structure of the autoencoder, we present a method that manages the utility-privacy trade-off well. To be more precise, the data is first compressed using the encoder, then confidential and non-confidential features are separated and uncorrelated using the classifier. The confidential feature is appropriately combined with noise, and the non-confidential feature is enhanced, and at the end, data with the original data format is produced by the decoder. The suggested architecture additionally enables data providers to modify the degree of privacy needed for private features and the level of utility for non-private features. The proposed method has been examined for both image and categorical databases, and the results show a significant performance improvement compared to previous methods.

Tuning parameter-free nonparametric density estimation from tabulated summary data

Administrative data are often easier to access as tabulated summaries than in the original format due to confidentiality concerns. Motivated by this practical feature, we propose a novel nonparametric density estimation method from tabulated summary data based on maximum entropy and prove its strong uniform consistency. Unlike existing kernel-based estimators, our estimator is free from tuning parameters and admits a closed-form density that is convenient for post-estimation analysis. We apply the proposed method to the tabulated summary data of the U.S. tax returns to estimate the income distribution.

5 vs 4: A Quantitative Investigation into the Quality Metrics of Different Multiple-Choice Test Formats

This study employed quantitative methods to address two primary objectives: 1) to compare the quality of 5-choice and 4-choice multiple-choice tests, and 2) to evaluate the discriminant power of these formats using test response theory with kernel smoothing. Data were collected from 1,966 students at Sukhothai Thammathirat Open University who took a 120-question multiple-choice exam during the second semester of 2019. Four test configurations were analyzed: the Initial Case utilized the original 5-choice format; Case 1 randomly omitted one option from the 5-choice test, excluding the correct answer; Case 2 randomly omitted one option, including the correct answer; and Case 3 adapted the options based on the test-taker’s proficiency level. The study employed Cronbach’s Alpha (denoted as raw_alpha) as a reliability metric, discovering varying levels of reliability across the four cases. The highest reliability was observed in Case 3 with a raw_alpha value of 0.87. There were no differences in the difficulty values or discriminatory power across all cases. The mean scores indicated that students generally performed better on the 4-choice tests in Cases 1-3 than on the original 5-choice format, referred to as the Initial Case. These findings have significant implications for test design, suggesting that 4-choice tests can achieve comparable reliability and discriminatory power to traditional 5-choice tests.

The productivity segmented calculation model of perforated horizontal wells considering whether to penetrate the contaminated zone

Perforation technology is often used to improve the productivity of horizontal wells in oilfield exploitation. During the perforation process, the formation seepage mode and productivity will change accordingly whether the contaminated zone is shot through. If we continue to use the previous productivity formula, it will cause a large calculation error and bring economic loss to the development of oil and gas fields. Firstly, based on the principle of equivalent seepage resistance, the reservoir-hole inflow profile in these two cases is analyzed in detail, and the reservoir-hole seepage model is constructed in different regions. The perforated horizontal well section is divided into N micro-unit sections, and the pressure drop model in the wellbore is constructed using the fluid mechanics theory. A new perforated horizontal well productivity prediction model is then created by coupling the reservoir-hole seepage model with the pressure drop model in the wellbore as a whole to accurately reflect the production performance of the perforated horizontal well. Through comparison and verification, it is concluded that the calculation results of the model are more precise, which can greatly reduce the productivity error. This method is reasonable and practical. When the oilfield’s actual well data is substituted into this model, it is discussed and analyzed that the reservoir’s physical characteristics, contamination level, and perforation completion parameters all have an impact on the productivity of horizontal wells, with the original formation’s permeability and reservoir contamination thickness having the most pronounced effects. These findings may effectively direct the design of technological processes and performance impact prediction.

Optimizing Sensory Attributes: Exploring the Placement of the Ideal-Product Question in Check-All-That-Apply Methodology

Consumer research has traditionally played a pivotal role in understanding consumers’ preferences for a product. The check-all-that-apply (CATA) methodology is used in consumer research to gather insights on product attributes. The placement of the ideal-product question within the CATA questionnaire, i.e., whether it should be presented before or after actual product evaluation, has been a topic of debate among researchers. This study aims to investigate whether presenting the ideal-product question before or after evaluating food products using the CATA methodology interferes with identifying desired and unwanted attributes by consumers. Milk chocolate and grape juice were evaluated. Two CATA questionnaires were applied (n = 300 consumers): One was in the original format (n = 150 consumers), with the attributes of the “ideal” product asked about at the end of the monadic evaluation of the actual products. The second had modifications (n = 150 consumers), with attributes of the “ideal” product asked about before evaluating the actual products. There was variation in both CATA methods regarding the description of the “ideal” product. CATA-First asked for a more authentic and affective description of the ideal product, and CATA-Last had more specific results, illustrating that consumers tend to be more analytical during the evaluation process. The findings of this study show practical utility for consumer-based methodologies, focusing on the determination of ideal sensory attributes.

The Potential of Digital Screening Tools for Childhood ADHD in School Environments: A Preliminary Study.

Attention deficit hyperactivity disorder (ADHD) is a highly prevalent developmental disorder in children. However, accurately identifying ADHD in early childhood remains a crucial challenge. Electronic health (e-health) systems offer promising possibilities to enhance the diagnostic process for ADHD, particularly concerning the executive functions (EFs) that play a direct role. This study aims to validate an evidence-based tool for screening ADHD through EFs in the school environment. The tool, named Sendero Gris, is designed for tablet devices and is based on a previously validated test with the same name. To ensure its validity, a comparison was made between the results obtained from the tool to be validated and the original format of the test. The analysis revealed no statistically significant differences between the two approaches at a 90% confidence level (p-value = 0.49). Moreover, a user experience study focusing on usability was conducted to assess the children's inclination to use the developed tool, yielding highly positive results. The implementation of Sendero Gris on a tablet device, with its objective and versatile nature, seems to maintain the potential of the original format as a screening tool for ADHD.

Clinical indicators for diabetic eyecare delivered by optometrists in Australia: a Delphi study

ABSTRACT Clinical relevance Valid and updated clinical indicators can serve as important tools in assessing and improving eyecare delivery. Background Indicators for diabetic eyecare in Australia were previously developed from guidelines published before 2013 and then used to assess the appropriateness of care delivery through a nationwide patient record card audit (the iCareTrack study). To reflect emerging evidence and contemporary practice, this study aimed to update clinical indicators for optometric care for people with type 2 diabetes in Australia. Methods Forty-five candidate indicators, including existing iCareTrack and new indicators derived from nine high-quality evidence-based guidelines, were generated. A two-round modified Delphi process where expert panel members rated the impact, acceptability, and feasibility of the indicators on a 9-point scale and voted for inclusion or exclusion of the candidate indicators was used. Consensus on inclusion was reached when the median scores for impact, acceptability, and feasibility were ≥7 and >75% of experts voted for inclusion. Results Thirty-two clinical indicators with high acceptability, impact and feasibility ratings (all median scores: 9) were developed. The final indicators were related to history taking (n = 12), physical examination (n = 8), recall period (n = 5), referral (n = 5), and patient education/communication (n = 2). Most (14 of 15) iCareTrack indicators were retained either in the original format or with modifications. New indicators included documenting the type of diabetes, serum lipid level, pregnancy, systemic medications, nephropathy, Indigenous status, general practitioner details, pupil examination, intraocular pressure, optical coherence tomography, diabetic retinopathy grading, recall period for high-risk diabetic patients without retinopathy, referral of high-risk proliferative retinopathy, communication with the general practitioner, and patient education. Conclusion A set of 32 updated diabetic eyecare clinical indicators was developed based on contemporary evidence and expert consensus. These updated indicators inform the development of programs to assess and enhance the eyecare delivery for people with diabetes in Australia.

Hydrogen-Driven Microbial Redox Reactions in Deep Geosystems

In the subsurface, biotic and abiotic processes can generate and consume hydrogen. Hydrogen has a low reduction potential and is thus a highly energetic electron donor when involved in sulfate, carbon dioxide or ferric iron reduction. Although known as important drivers for the deep biosphere, the contributions of different processes to hydrogen turnover in different geosystems still are not well understood. In context with the ongoing transformation to renewable energy resources, underground H2 storage (UHS) in deep porous or salt cavern systems came into focus. In situ microbial and geochemical reactions that consume H2 are highly relevant topics in deep biosphere research, and also are still a major uncertainty during UHS. Consequently, we studied the potential microbial hydrogen oxidation rates – combined with the possible production of metabolic products like H2S, acetic acid or CH4 - in formation fluids from natural gas fields and salt caverns, thereby considering the importance of in situ pressure and temperature conditions, fluid chemistry and mineral composition. In addition, more defined experiments were conducted with selected pure cultures representing important metabolic groups of deep biosphere microorganisms. Several original formation fluids showed immediate H2 consumption. Microorganisms oxidized hydrogen at relevant in situ pressure conditions (up to 100 bar) and tolerated dynamically changing pressure and temperature conditions. The microbial hydrogen oxidation rate was strongly dependent on H2 partial pressures and the availability of e.g., sulfate as a terminal electron acceptor. High-throughput sequencing of 16S rRNA gene amplicons indicated hydrogen oxidation by sulfate reducing bacteria to be the presumed process in the studied porous rock reservoir fluids. In addition, hydrogen turnover by methanogenic and acetogenic as well as iron-reducing microorganisms was investigated. Also, the importance of biotic reactions in relation to abiotic hydrogen turnover processes at mineral surfaces will be discussed.

The Architecture of an Agricultural Data Aggregation and Conversion Model for Smart Farming

Monitoring and control systems integrated into agricultural machinery enable the development of agricultural analyses with advanced management tools, but the full use of all available data is often limited by the lack of uniformity among data transmitted from different agricultural machines. This paper presents an agricultural data aggregation and conversion model that allows for the collection and use of data captured from different agricultural machines in the course of work; these data differ in their original file formats and cannot be combined and used in a common analysis system. Programming work was carried out to create the model, and a specialised software interface enabled raster data processing using a Python library together with the open-source Hypertext Preprocessor and JavaScript programming language libraries. A PostGIS extension was utilised to engage field geometry and map-layering tools. Model validation showed that the data aggregation and conversion functions ensure the evaluation of semantic content and the transformation of the aggregated data into a unified format which is suitable for further use in intelligent farming management applications. The developed model will encourage precision agriculture, with the aim of improving work efficiency and the rational use of resources, the economy, and ecology in agriculture.

Africa and the New Imperialism: European Borders on the African Continent, 1870‐1914

Adam Matthew Digital’s Africa and the New Imperialism: European Borders on the African Continent, 1870‐1914, contains more than 1,700 individual archival materials sourced from some of the most renowned academic institutions across the globe. There are materials that go beyond the typical government documents and correspondence to highlight nontraditional voices like women, rulers of Africa, and various representations of African culture; however, all of them are sourced from non-African institutions. Contextualizing secondary materials like in-depth scholarly essays, a region guide, and an interactive map will provide pedagogical opportunities, while facilitating student learning, and would prove useful for disciplines related to history, political science, border studies, ethnic and gender studies, and African studies. Highlights of the collection include the Joseph Chamberlain collection, papers of journalist and colonial commentator Flora Shaw, the papers of Henry Shelton Sanford, correspondence from Roger Casement and his Casement Report, and letters from African chiefs and emirs that are included in their original format as well as with translations.