bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying and understanding dietary transitions and nutrient deficiency from loyalty card digital footprints
Authors: Mansilla Roberto , Long Gavin , Welham Simon , Harvey John , Lukinova Evgeniya , Nica-Avram Georgiana , Smith Gavin , Smith Andrew , Goulding James 
Published: September 2023

Introduction & BackgroundThe shift towards plant-based diets remains on the rise. Several observational studies have suggested that adopting these diets can result in some fundamental nutrient deficiencies, such as iodine deficiency. This can be especially harmful to a developing fetus, leading to growth impairment and, in extreme cases, cretinism. Nonetheless, understanding of long-term health consequences of this shift remains a challenge, particularly regarding nutritional impact at broader population scales.
Objectives & ApproachOur study focuses on the effects of transitioning to plant-based diets on the purchasing and assumed intake of essential nutrients like iodine, calcium, and vitamin B12. We analysed anonymized shopping records of 10,626 loyal customers who switched from regular milk to alternative milk products. By matching the transaction data with nutritional information, we estimated the weekly nutrient purchases before and after the transition. Our data was collected from a national food retailer across the UK.
Relevance to Digital FootprintsLoyalty-card transactional logs held by retailers reflect a valuable lens into nutritional intake data. This data can provide insight into the potential impact of purchasing behaviours, such as the potential health effects of dietary changes at scale. Our approach leverages AI modelling accompanied by rigorous variable importance methods to uncover potentially hidden insights on the impact of nutritional shifts to plant-based goods.
ResultsResults indicate that 83% of individuals deemed regular customers, who switched to plant-based milk, experienced a decrease in their purchases of iodine (44%), calcium (30%), and vitamin B12 (39%) from their normal purchase patterns at the retailer. Additionally, 57% of these individuals decreased their iodine purchases by more than 50%. The reduction in these nutrients is even more significant for those who switch to plant-based dairy and meat products.
Conclusions & ImplicationsOur research indicates that dietary changes, such as switching from purchasing regular milk to alternative milks, may lead to insufficient intake of essential dietary nutrients such as iodine. This represents a significant potential health concern for the public if not remediated, especially in countries that do not require salt to be fortified with iodine.
What can transactional data reveal about the prevalence of menstrual pain in England?
Authors: Sivill Torty , Ljevar Vanja Ljevar , Goulding James , Skatova Anya 
Published: September 2023

Introduction & BackgroundIt has been reported that up to 91% of those who menstruate experience associated pain. Despite its ubiquity, the prevalence of menstrual pain has been under researched due to stigma, disregard from medical professionals and a lack of data. It has also been reported that different demographics experience menstrual pain differently yet the impact of socio-demographic factors on menstrual pain remains to be explored on a national scale due to data scarcity.
Objectives & ApproachIn this study, we propose one way to overcome this data barrier, using a novel measure of menstrual pain extracted from supermarket shopping data. We use these national datasets to identify individual customer behaviour patterns. Specifically, we use transactions involving both a pain and menstrual item as a proxy measure for menstrual pain. We investigate national menstrual pain sales and whether there are significant differences between deprived and less deprived areas of England.
Relevance to Digital FootprintsThis paper brings together data from multiple sources, to provide a population level analysis of the prevalence of menstrual pain England. We use transactional data from a pharmaceutical retailer to develop a novel proxy measure for menstrual pain. We use various machine learning algorithms to explore the relationship between transactional data and various data sources pertaining to social deprivation.
ResultsOur findings indicate that there is a high prevalence of menstrual pain with at least 26.7% of customers who purchase menstrual items also purchasing pain relief simultaneously. These customers are nearly four times more likely to purchase pain relief with a menstrual item than they are without. In addition, our results indicate a significant geographical disparity between menstrual pain transactions. We examine the relationship between a variety of deprivation factors and regional menstrual pain transactions and find average regional income has the highest predictive impact on menstrual pain sales. Contrary to what would expected from previous research, customers from the region with the lowest regional income were a third less likely (32%) to make a menstrual pain transaction than those from the highest income region.
Conclusions & ImplicationsThis work motivates further research into the national prevalence of menstrual pain to understand why this regional disparity exists and whether it is a consequence of "period poverty". A better understanding of the sociodemographic factors associated with menstrual pain will help healthcare professionals stratify patients by risk, and could inform strategies to predict and prevent menstrual pain and its adverse impacts.
Data donation of individual shopping data to help predict the occurrence of disease: A pilot study linking individual loyalty card and health survey data to investigate COVID-19
Authors: Dolan Elizabeth , Goulding James , Skatova Anya 
Published: September 2023

Introduction & BackgroundPrevious studies have found shopping data could increase the predictive accuracy of disease surveillance systems and illuminate behavioural responses in the self-management of symptoms of disease. Yet, accessing individual sales datasets for linkage to health datasets is challenging, and the recruitment of appropriate sample sizes for medical research has been limited.
Objectives & ApproachObjectivesCollect and link individual health data to individual shopping data to investigate COVID-19. Assess the feasibility of scaling-up this method, and use the collected data to investigate using loyalty card data in machine learning (ML) models for disease.
MethodsBased on recommendations on the public’s preferences for data donation a new protocol was designed for collecting, linking and analysing shopping and health data. Participants were requested to use the Tesco Clubcard website data portability function to share their loyalty card data and complete an online health survey. An exploratory data analysis was conducted on the linked dataset. Participants were recruited online (18/01/2022 to 04/02/2022) with a recruitment target of 200.
Relevance to Digital FootprintsThe collection and analysis of individual transactional sales data for health research.
Results197 participants shared their Tesco Clubcard and health survey data. Tesco Clubcard data contained 893,414 transactions of 65,310 uniquely named items purchased from 2015 to 2022. Average transactions per participant were 4,653 (SD 5256) and average timeframe recorded was five years 6 months and 30 days (SD 836 days). A total of 6,993 medication sales were recorded accounting for 1% of sales, 81% (159/197) of participants bought medications and the average was 44 (STD 68) medications per individual. Most participants (196/197) shared their health status in the survey, and 94% (81/86) of those on medication shared the medication names. Participants reported donating their data to do good (79%, 155/197), help the NHS (77%, 152/197), be socially responsible (74%, 144/197) and because data was secure and anonymised (78%, 153/197).
Conclusions & ImplicationsUsing this new protocol which enables convenient data sharing with transparent data safeguards, the public were willing to share both their shopping and health data for research into COVID-19. To apply robust ML analysis, particularly to explore self-medication at an individual level, recruitment must be significantly scaled to collect data from enough individuals with high sales and regular shopping frequency, or new ML techniques developed to address sparseness in loyalty card data of key purchasing events related to health. The study suggests public readiness to share shopping data for health research, but investment is needed for large-scale data collection and AI application.
Longitudinal reliability of Twitter sentiment for measuring mental health and well-being in a UK birth cohort
Authors: Di Cara Nina , Di Davis Oliver , Haworth Claire 
Published: September 2023

Introduction & BackgroundSocial media data is increasingly recognised as an important source of behavioural data. It can provide insights into patterns of life and how individuals and groups are feeling. However, many studies into social media’s relationship to mental health and well-being have suffered from poorly developed ground-truth data, which relies on assumed ground-truth labels and data from single timepoints. This means that the accuracy of models at future timepoints cannot be assessed.
Collecting Twitter data from cohorts provides a solution to this issue, given the many years of high quality data that can be used as ground truth. Cohorts can also benefit from the higher-resolution data provided by social media that can supplement their traditional data collection methods.
Objectives & ApproachWe used Twitter data that has been collected with consent from two generations of the Avon Longitudinal Study of Parents and Children (ALSPAC) (N=656). The data is linked to two surveys completed in April-May 2020 and May-July 2020 for validated outcome measures of anxiety, depression, and general well-being.
Using the LIWC and VADER sentiment algorithms, the sentiment categories most highly associated with each outcome were used to develop a multiple regression model for each of anxiety, depression and general well-being using the first survey timepoint. Error from these models in predicting the second timepoint allowed us to assess how well different outcomes are predicted by demographic group.
Relevance to Digital FootprintsDigital footprint data can complement traditional data sources to provide a more nuanced view of health inequalities. These data are typically less timely to collect than traditional data collection methods (census, survey) allowing a more reactive response to emergent issues such as the cost-of-living crisis.
ResultsThis study illustrates how the collection of digital footprint data can be integrated into existing long-term studies which can be used to provide multiple points of ground-truth data.
Conclusions & ImplicationsThis study has shown that the collection and integration of Twitter data into cohort studies is feasible, and that cohort data provides multiple ground-truth options. This time series data is important for assessing the potential feasibility of mental health inference from online behavioural data, which this study shows may vary across personal characteristics.
In future research we plan to link subsequent surveys from ALSPAC to provide more ground truth time points and explore the temporal stability of predictions, and impacts of model drift on performance.
Exploring spatial patterns of vulnerability using linked health data
Authors: Brake Abigail , Birks Daniel , Mon-Williams Mark , Relins Sam 
Published: September 2023

Introduction & BackgroundThe types of challenges police and ambulance services deal with often overlap, for instance supporting those who suffer from mental ill-health. Research has shown that emergency service problems often concentrate, but also that some individuals who come to the attention of one service may not be as visible to another despite their overlap in roles.
Objectives & ApproachThis study explored how routinely collected 999 data may reveal insights into how these services support potentially vulnerable populations. We argue that better understanding the nature and distribution of vulnerability-related calls may help to inform future preventative or harm reduction-based interventions. We analysed administrative data provided by Yorkshire Ambulance Service for the Bradford region through the Connected Bradford research database, posing the following questions: (1) can 999 call data provide insights into vulnerability-related incidents attended by ambulances?; (2) where and when are these incidents most prevalent?; and (3) what are the spatial patterns of calls and patient home locations associated with them?
Relevance to Digital FootprintsWe first select calls associated with nine callout reasons indicative of vulnerability. Patients can choose to share their data with each healthcare service they use, so we harnessed this digital footprint to analyse the spatial distribution of call locations (at postcode sector level) and patient home location (at MSOA level).
ResultsResults indicate substantial concentrations of vulnerability-related calls in multiple postcode sectors including the City Centre (where we estimate 18% of calls may be vulnerability-related) and several other areas which are associated with deprivation. Exploring flows of people from their home location to incident location we also see substantial spatial variation in the locations in which patients involved in these types of incidents reside.
Conclusions & ImplicationsThese analyses represent initial efforts to better understand how vulnerable groups are supported by public services, and have the potential to inform future resource allocation and targeting of upstream interventions.
Carbon foot printing school meals: data linkage and engagement activity
Authors: Dalton Alexandra , Ennis Emily , Green Melinda , Morris Michelle A 
Published: September 2023

Introduction & BackgroundFood production is a substantial contributor to greenhouse gas emissions and climate change. A more sustainable diet is often a healthier one, so making lower carbon food choices serves to benefit the planet and person. In order to understand the carbon footprint of food choices, linkage of recipe information to carbon footprint data and transaction records is required. To inform positive change insights from data linkage must be communicated to the target audience, in this case schoolchildren.
Objectives & ApproachSchool dinner recipe information and transaction records for school meals at five schools for a six week period were acquired. Carbon footprint estimates were calculated for each recipe, using published data. An automated dashboard was created in order that these calculations could be replicated by catering teams. Carbon footprints were appended to the school transaction records for meal choices. An interactive web game was created in ‘top trump’s' style using a selection of the recipes, with carbon footprint and popularity ranking, generated from the transaction records.
Relevance to Digital FootprintsTransactional meal sales data from schools are digital footprint data. In this work we link these digital footprint data to detailed recipe information with estimated carbon footprints from an open data source.
ResultsThe Consumer Data Research Centre Carbon Calculator and The Planet Plates game were created. The Carbon Calculator is being used in a number of settings to support food procurement and recipe development. The Planet Plates game has been used in Leeds Schools to empower schoolchildren to make positive changes to lower the carbon footprint of their meal choices. The children were engaged with all the activities and not only learned about sustainability of their food choices, but about how data they generate can be used anonymously for public good.
Conclusions & ImplicationsData linkage of digital footprint data is a powerful tool for behaviour change to tackle some of the world’s most pressing challenges. Methods and insights should be shared widely and made accessible to a range of stakeholders wherever possible.
TOLERANSI TEKANAN OSMOTIK PADA PERKECAMBAHAN PADI VARIETAS INPARI MENGGUNAKAN MANNITOL
Authors: Rusdiana Riza Yuli , Sa'diyah Halimatus , Fariroh Indri 
Published: September 2023

Cekaman kekeringan memberikan dampak pada padi sawah tadah hujan di dunia sebesar 23 juta hektar. Pengujian cekaman kekeringan pada stadia perkecambahan padi dapat dilakukan dengan larutan osmotik mannitol. Penelitian mengenai toleransi cekaman kekeringan menggunakan mannitol pada stadia perkecambahan padi belum pernah dilakukan di Indonesia. Tujuan penelitian ini adalah mensimulasikan tekanan osmotik dan mengidentifikasi batas toleransi cekaman kekeringan terhadap kinerja fisiologis benih padi varietas Inpari 19, Inpari 32 dan Inpari 49. Percobaan simulasi tekanan osmotik (0 MPa, -0.03 MPa, -0.05 MPa, -0.08 MPa dan -0.11 MPa) menggunakan konsentrasi mannitol (0%, 2%, 4%, 6% dan 8%) diterapkan pada benih padi Inpari 19, Inpari 32 dan Inpari 49. Parameter daya berkecambah, kecepatan tumbuh, indeks vigor, panjang akar, jumlah akar dan panjang kecambah diamati sebagai respon fisiologi penanda perkecambahan toleran cekaman kekeringan. Analisis non parametrik diterapkan pada penelitian ini, karena seluruh respon fisiologi benih tidak memenuhi asumsi normalitas dan homogenitas ragam. Hasil uji Bredenkamp menunjukkan perbedaan konsentrasi mannitol yang menghasilkan tekanan osmotik berbeda memberikan pengaruh nyata terhadap fisiologi benih varietas Inpari. Penurunan tekanan osmotik dibawah perlakuan mannitol mengakibatkan penurunan nilai DB, IV, KCT, PA, JA dan PK dari varietas Inpari 19, Inpari 32 dan Inpari 49. Ketiga varietas padi yang digunakan mempunyai toleransi cekaman kekeringan pada media tanam dengan tekanan osmotik sebesar -0.03 MPa (mannitol 2%).
Analisis ANALISIS SEMIOTIKA SOSOK IBU NUSSA DALAM FILM ANIMASI “NUSSA BISA” DI CHANNEL YOUTUBE NUSSA OFFICIAL
Authors: Lukmana Lukmana Lukmana 
Published: September 2023

Penyandang disabilitas di masyarakat dimaknai sebagai seseorang yang mengalami kelainan atau keterbatasan baik dari segi fisik maupun mental. Dalam melakukan aktivitas sosialnya di masyarakat, penyandang disabilitas dianggap sebagai manusia yang tidak mampu untuk ikut serta dalam kegiatan sosial, sehingga penyandang disabilitas dan keluarganya kerap mengalami pengucilan dan penindasan hak dari orang normal lainnya. Diperlukanlah dukungan sosial untuk menunjang rasa keberpihakan terhadap disabilitas, salah satunya dari sosok terdekat, yakni Ibu. Hal inilah yang melatarbelakangi penelitian untuk mengetahui bagaimana sosok seorang ibu ideal yang memiliki anak disabilitas digambarkan dalam film animasi “Nussa dan Rara’ episode Nussa Bisa. Penelitian ini menggunakan pendekatan kualitatif metode analisis semiotika Roland Barthes yang meliputi tiga level pemaknaan, yaitu denotasi, konotasi dan mitos. Hasil dari penelitian ini ditemukan bahwa penggambaran sosok Ibu Nussa nampaknya tidak bisa lepas dari emosional yang berbeda-beda, namun kemudian batin yang terjadi dapat konflik dapat diselesaikan karena adanya sikap menerima dan ikhlas dengan segala ketentuan yang telah diberikan oleh Allah swt. Mitos yang muncul adalah ekspresi kecemasan namun juga perhatian, citra ideal seorang ibu yang mengayomi, memprioritaskan anak, memberikan motivasi yang dilakukan dalam segala geraknya agar dikemudian hari anak-anaknya tumbuh menjadi generasi yang ceria dan pribadi yang baik sesuai dengan tuntunan al-qur’an dan al-hadits.
TRUK SEBAGAI "MEDIA DAKWAH" ALTERNATIF
Authors: Amri Asyhari 
Published: September 2023

Trucks are one of the most popular means of transportation in Indonesia. Trucks operating in Indonesia have a uniqueness that is not found in other countries. The back of the tailgate (generally an open truck) is mostly decorated with typography or paintings that have various themes, but in general the writings contain comedy content, da'wah messages and also words of wisdom. From this phenomenon, this study aims to examine the message of da'wah on paintings and typography contained in trucks. In this case the research will focus on the meaning of typography in trucks. The result is that trucks containing da'wah messages have certain characteristics, including attracting attention, not being patronizing, entertaining, easy to remember, to the point and reaching many areas and audiences.

Keywords: Trucks, Messages of Da'wah, Alternative Da'wah.
REPRESENTASI NILAI - NILAI PLURALISME DALAM FILM LIMA
Authors: Videska Anggun Viniza Vidia , Hayat Vina Zahratul , Ramadoni Muhamad Afdoli 
Published: September 2023

Pluralisme dalam hierarki tatanan sosial masyarakat merupakan sebuah fenomena yang tidak mungkin dihindari. Konsep pluralisme sudah ada sejak zaman Nabi Muhammad SAW hingga sekarang. Namun persebaran gagasan ini mengalami kontroversi dan penolakan dari berbagai kalangan sehingga menimbulkan pro dan kontra. Sebagai masyarakat majemuk, idealnya harus bisa hidup dalam pluralisme dengan menjalin harmoni hidup beragama. Menampilkan rasa hormat dan toleransi satu sama lain tanpa harus meyakini keberadaan kebenaran pada agama dan keyakinan agama lain. Berdasarkan konteks di atas, maka muncul pertanyaan bagaimana nilai-nilai pluralisme dalam film lima? Analisis yang akan digunakan adalah teori Question of representation dari Branston dan Stafford (2003: 90-116). Teori ini menjelaskan bagaimana representasi menjalankan proses pembentukan suatu identitas tertentu secara berulang-ulang terhadap objek yang dicitrakan didalam media. Terdapat tiga konsep dari teori ini yaitu stereotyping, representation and the real, question of positive and negative images. Konsep pertama mengkaji asumsi negatif yang tersebar luas tentang kelompok tertentu. Konsep kedua menggambarkan sesuatu secara realita dan tidak terdistorsi. Konsep ketiga mengenai pandangan positif dan negatif masyarakat terhadap suatu kelompok tertentu.Streotip yang dibangun di dalam film lima yakni isu rasisme dan intervensi dalam menilai seseorang bukan berdasarkan prestasi melainkan ras dan warna kulit.
TAYANGAN PERSIDANGAN KASUS PEMBUNUHAN BRIGADIR J SEBAGAI PILAR INDEPENDEN MEDIA
Authors: Manggola Alen 
Published: September 2023

Artikel ini menggambarkan peran media untuk mendukung penegakan keadilan di Indonesia, yang dibuktikan dengan bentuk mengawasi dengan cara menayangkan prosesi persidangan kasus sambo oleh media yang tidak sekedar opini. Walaupun tak semua media mengikuti dengan cara menyiarkan secara langsung gelar prosesi persidangan kasus Sambo atas pembunuhan Brigadir J, namun bentuk tayangan yang selalu berkala menginformasikan secara jelas tayangannya, yang pada awalnya media juga sempat bungkam hanya mengikuti keinginan skenario yang ditayangkan secara berulang. Maknanya adalah, media berpihak kepada masyarakat dalam mengawal kasus Brigadir J hingga akhir. Masalahnya ketika media tidak berpihak kepada masyarakat maka pemberitaan akan hilang dan kasus mampu ditutupi dari pandangan publik dalam menginginkan keadilan ditegakkan. Sikap seperti ini dapat digunakan sebagai bukti bahwa media tidak mampu independen lagi, karena bisa distir oleh permerintahan dan institusi yang memiliki kekuatan ekonomi dan politik.