bluuebunny/crossref_metadata_2025_split huggingface dataset:
The UK Longitudinal Linkage Collaboration: a trusted research environment for the longitudinal research community.
Authors: Boyd Andy , Flaig Robin , Oakley Jacqui , Campbell Kirsteen , Evans Katharine , McLachlan Stella , Thomas Richard , Turner Emma 
Published: August 2022

ObjectivesThe COVID-19 Longitudinal Health and Wellbeing National Core Study utilises data from Longitudinal Population Studies (LPS) and whole-population NHS databases: yet no resource existed linking multiple LPS to COVID-19 records. A centralised infrastructure was needed to pool LPS data and systematically link participants’ routine health, administrative and environmental records.
ApproachThe UK Longitudinal Linkage Collaboration (UK LLC) is an unprecedented infrastructure integrating data from major inter-disciplinary and pan-UK LPS and systematically linking these to participants’ COVID-19 relevant records. Integrated and curated data are made available for pooled analysis within a functionally anonymous Trusted Research Environment (TRE). We commissioned a “Secure eResearch Platform - SeRP” to provide an underlying secure computing system including trusted third-party processing of participant identifiers. We developed a bespoke governance and data curation framework designed collaboratively with LPS data managers and with an access mechanism enabling LPS to retain key decision-making controls. Public/participant involvement guided our approach.
ResultsData from >20 LPS and >250,000 Participants' are linked to NHS records (primary, secondary, community care; COVID-19; civic registers; prescriptions; mental health) and geo-coded environmental exposures (pollution, green space, neighbourhood indicators). UKLLC is now accessible to UK-wide researchers for COVID-19 research. Our pipeline/resource/provision of linked data is based on three key innovations: (1) a “Linkage brokerage” model where our trusted third-party processes participant identifiers for many different data owners; (2) a novel longitudinal data pipeline with NHS records which enables linkage and data extraction and update of records over time; (3) a “Delegated & Distributed Access Framework” enabling UK LLC Data Access Panel to consider applications on behalf of data owners (e.g., the NHS) whilst distributing applications to LPS for approval of appropriate data use.
ConclusionUK LLC provides a strategic research-ready platform for longitudinal research: a clear step change from pre-pandemic capability. With sustained investment, and through exploring options to extend linkages and generalise to wider purposes, UK LLC is positioned to inform cross-cutting themes such as understanding health and social inequalities, health-social-environmental interactions, and managing the COVID-19 recovery.
Understanding the impact of fertility history on health outcomes in later life.
Authors: Williamson Lee , Dibben Chris 
Published: August 2022

ObjectivesAims of this research, involving data linkage and health outcomes, is to gain a full understanding of the impact of both fertility histories and childlessness on health outcomes mid-life accounting for socio-economic background and area of residence. The research draws on and extends work on reproductive histories and life-course outcomes.
ApproachWe aim to extend this area of research, specifically for Scotland, using Census data (1991-2011) from the Scottish Longitudinal Study (SLS) linked to health data. The Census health measures – including the 2011 Census health condition question on mental health - are the research outcomes and the explanatory information is from Census socio-economic data (captured around peak fertility for the research cohort in 1991), along with the SMR02 Maternity and SMR04 Mental Health datasets. The time-frame for available data allows 20 year follow-up from the 1991 Census to mid-life for specific female SLS birth cohorts (born 1959-1966, aged ~45-52 in 2011).
ResultsFrom preliminary modelling we initially find, for this specific female research cohort, high birth parity to be an important factor in relation to self-reported mental health conditions at follow-up in 2011, but not once socio-economic and area-level variables are controlled for.
ConclusionPreliminary modelling also highlights that relationship status – single, married or cohabiting – to be important over that of legal marital status as recorded at Census. For limiting long-term illness as a health outcome the findings are similar.
Feasibility of evaluating COVID-19 vaccine effectiveness and variant severity through a routine health information exchange.
Authors: Boulle Andrew , Heekes Alexa , Hussey Hannah , Kassanjee Reshna , Davies Mary-Ann 
Published: August 2022

ObjectivesTo date South Africa has experienced four distinct COVID-19 waves due to ancestral, Beta, Delta and Omnicron SARS-CoV-2 variants. We sought to answer pertinent public health questions in a timely manner as new COVID-19 variants emerge(d) using routine health service data linked through a service-facing health information exchange (HIE).
ApproachA population cohort was defined amongst regular health service users in the Western Cape Province of South Africa based on recent utilisation of public sector services as reflected in the Provincial Health Data Centre (PHDC) which functions as a HIE. Infection, hospitalisation and mortality data were derived from routinely linked laboratory, service and national vital registration data sources. Serology done on residual specimens of patients monitored for HIV and diabetes treatment progress were linked to the PHDC, as were vaccination data from the national vaccination information system. A single linked and de-identified dataset was exported for analysis purposes.
ResultsBased on accessing services in the preceding 3 years, a cohort of 3.5 million adult patients could be enumerated and linked to co-morbidity and SARS-CoV-2 outcome data. Serology from 16,000 specimens spread across the three inter-wave periods, and vaccine data from amongst the 5 million vaccine doses given in the Province, could also be linked. Variants could be identified by wave or by PCR assay target anomalies during cross-over periods. Publishable variant severity analyses were feasible from the sub-cohort of patients with diagnosed COVID-19, and variant-specific vaccine effectiveness was assessible amongst cases, in the population cohort, and in patients with HIV. The impact of prior infection and marginal value of vaccination in those with prior infection was assessible within the serology sub-cohort.
ConclusionA single linked de-identified dataset derived from an operational HIE was able to quickly address critical public health questions related to COVID-19 variants in a privacy-preserving manner.
A large linked data platform to inform the COVID-19 response in British Columbia: The BC COVID-19 Cohort.
Authors: Wilton James , Abdulmenan Jalud , Chong Mei , Becerra Ana , Coss Michael , Taylor Marsha , Djurdjev Ognjenka , Rasali Drona , Sbihi Hind , Krajden Mel , Flatt Alexandra , Rizi Seyed Ali Mussavi , Janjua Naveed 
Published: August 2022

ObjectivesThe COVID-19 pandemic has necessitated access to large health system datasets to inform the public health response. To meet this need, the Provincial Health Services Authority and the British Columbia (BC) Ministry of Health collaborated to create a population-based platform that integrates COVID-19 datasets with sociodemographic and administrative health data.
ApproachA BC COVID Data Library proof-of-concept was created as a cloud-based, dynamic platform composed of de-identified datasets. The BC COVID-19 Cohort (BCC19C) represents a subset composed of people accessing COVID-19 health services (e.g., testing, vaccination) and linked health histories. Provincial COVID-19 datasets are updated daily and include COVID-19 lab tests, case surveillance, vaccinations and hospitalizations/deaths. These can be linked to administrative data holdings for the BC population, which are updated weekly/monthly and include vital statistics, medications, hospital admissions, medical visits, among others. A patient matching algorithm creates unique patient keys that allows the same individual to be linked across datasets.
ResultsThe BCC19C has been used provincially to 1) support ongoing surveillance, reporting, and modelling of COVID-19; 2) describe and characterize the epidemiology of COVID-19; and 3) inform acute care planning, public health interventions and health care services in BC. Ongoing and completed BCC19C analyses include assessment of vaccine safety, vaccine effectiveness, and characteristics associated with infection and severe outcomes; use of medical visit data for syndromic surveillance and monitoring of unintended outcomes of the pandemic (e.g., mental health visits); and characterization of long-COVID. Availability of linked administrative data holdings has been crucial for identifying non-COVID control groups, measuring sociodemographics and co-morbidities, and complementing COVID-19 datasets for more complete capture of health outcomes (e.g., deaths, hospitalizations).
ConclusionsThe large scope/breadth and timeliness of the linkable datasets integrated within the COVID Data Library and the BCC19C has supported the public health response in BC. Additional linkage to other data sources will further strengthen this data platform.
Hastane Akreditasyonu ile İlgili Yayınların Kavramsal Yapısının Haritalanması
Authors: KAYA Sıdıka , GÖZLÜ Kenan , ARSLAN ÇİLHOROZ İlknur , ÇİLHOROZ Yasin 
Published: August 2022

Öz
Hastane akreditasyonu, hastanelerde sunulan sağlık hizmetlerinin kalitesini artırmanın bir yolu olarak kabul edilmekte ve yetmiş yıldan uzun süredir kullanılmaktadır. Bu çalışmanın amacı, hastane akreditasyonu ile ilgili yayınların kavramsal yapısının ve zaman içindeki tematik değişiminin bibliyometrik bir yöntem olan ortak kelime (co-word) analizi ile incelenmesi ve haritalanmasıdır. Çalışmada kullanılan veriler Web of Science veri tabanından alınmıştır. Veriler 01.01.1951-28.07.2021 tarihleri arasında yayımlanan çalışmaları kapsamaktadır. Verilerin analizinde SciMAT, VOSviewer, Biblioshiny ve Citespaces programlarından yararlanılmıştır. Analize dâhil edilen 2167 yayının bibliyometrik analizi sonucunda, hastane akreditasyonu konusundaki yayınlarda artış olduğu ve en sık kullanılan yazar anahtar kelimesinin kalite iyileştirme olduğu belirlenmiştir. Birlikte oluşum haritası yazar anahtar kelimelerini dokuz kümeye (akreditasyon, hastaneler, kalite güvencesi, eğitim, standartlar, bariatrik cerrahi, kalite, kalite iyileştirme, hasta güvenliği) ayırmıştır. Son yılların temel çalışma alanlarına ait temalar içinde tüp mide ameliyatı dikkati çekmektedir. En fazla evrim geçiren anahtar kelimeler bakım ve performans kelimeleridir. Performans anahtar kelimesi bakım, hastaneler, müdahale ve eğitim kelimelerine; bakım anahtar kelimesi ise bakım, hastaneler, müdahale ve sonuçlar anahtar kelimelerine evrilmiştir. Hastane akreditasyonu konulu çalışmaların son dönemde üzerinde durduğu “sonuçlar” çok önemli bir temadır. Bu çalışma, hastane akreditasyonu ile ilgili araştırma yapmayı planlayanlara yol gösterebilir.
Imagined Women: Bearing, Rearing, and Wearing the Tajik Nation
Authors: Nozimova Shahnoza 
Published: August 2022

Abstract
In contemporary Tajikistan, the onus of national identity’s (re-)production has been disproportionately placed on women. Decisions about female bodies, dress, duties, and the limits of women’s roles in the public and private spaces serve as important differentiating markers and mobilization tools for the competing ideological forces. Using the insights from the scholarship on nation-building and gender, this paper explores the official (government’s) narrative on women in Tajikistan. Based on content analysis of various primary data sources, including official documents, government publications, official speeches, and media sources, I argue that contemporary nation-building has become about tangible lifestyles. Thus, nationhood in Tajikistan has acquired a recognizably gendered character. In this state-promoted imagination, women encapsulate the Tajik nation by performing three significant tasks that continuously reproduce and represent the nation: they bear, rear, and wear the Tajik nation-state.
Online Male Sex Work in Kazakhstan: A Distinct Market?
Authors: Thibault Hélène 
Published: August 2022

Abstract
In this article, I explore male sex-work in Kazakhstan and show that unlike male sex work around the world, the Kazakhstani market appears to be overwhelmingly heterosexual. Based on a sample of 200 online advertisements, this paper generates original data by providing an overview of male sex work in Kazakhstan’s two largest cities, Almaty and Nur-Sultan. This data is analyzed through a gender lens that acknowledges a shift in local gender roles and expectations and I argue that a desire for sexual emancipation, which is constrained by conservative views surrounding female sexuality explains this particular phenomenon. More precisely, I suggest that women are likely to have discreet sex with anonymous professionals rather than indulge in casual sex with strangers or acquaintances to maintain their reputation. While most gender research in Central Asia focuses on issues of re-traditionalization, this article investigates women’s sexuality and desires in Kazakhstan outside of the re-traditionalization paradigm.
The Influence of Self-Efficacy in Mediated Individual Characteristics on Leadership Learning Performance in PT X
Authors: Rahmat Tasnim RahmatTasnim 
Published: August 2022

<p class="abstrak">The achievement of learning performance can create benefits for a company both in increasing employee competence and company productivity. The cost spent, however, is usually not proportional to the graduation rate and returns on the company. Self-efficacy is a performance predictor. Individual characteristics have a strong role in the effectiveness of learning. This research aims to test the role of individual characteristics in leadership learning performance with self-efficacy as a mediator variable. The data in this study are secondary data owned by PT X. This data were processed by parallel mediation analysis model using Macro PROCESS and SPSS software. The results showed that self-efficacy is able to mediate the role of individual characteristics in leadership learning performance. This research found that self-efficacy and continuous learning ability were able to partially mediate the role of individual characteristics in leadership learning performance. Thus, by adding indirect effect of mediator variable, it can further enhance the role of individual characteristics in leadership learning performance.</p><p class="abstrak"><em>Tercapainya kinerja pembelajaran dapat memberikan manfaat bagi perusahaan baik dalam peningkatan kompetensi karyawan maupun produktivitas perusahaan. Biaya yang dikeluarkan, bagaimanapun, biasanya tidak sebanding dengan tingkat kelulusan dan pengembalian perusahaan. Self-efficacy adalah prediktor kinerja. Karakteristik individu memiliki peran yang kuat dalam efektivitas pembelajaran. Penelitian ini bertujuan untuk menguji peran karakteristik individu dalam kinerja pembelajaran kepemimpinan dengan efikasi diri sebagai variabel mediator. Data dalam penelitian ini adalah data sekunder milik PT X. Data ini diolah dengan model analisis mediasi paralel menggunakan software Macro PROCESS dan SPSS. Hasil penelitian menunjukkan bahwa efikasi diri mampu memediasi peran karakteristik individu dalam kinerja pembelajaran kepemimpinan. Penelitian ini menemukan bahwa efikasi diri dan kemampuan belajar berkelanjutan secara parsial mampu memediasi peran karakteristik individu dalam kinerja pembelajaran kepemimpinan. Dengan demikian, dengan menambahkan pengaruh tidak langsung dari variabel mediator dapat lebih meningkatkan peran karakteristik individu dalam kinerja pembelajaran kepemimpinan.</em></p><p class="abstrak"> </p>
Perancangan Sistem Monitoring Gangguan Traksi Motor pada Lokomotif Cc 201/203 Berbasis IoT di Depo Induk Sidotopo Surabaya
Authors: Prasetyo Kusuma Aji , Hartayu Ratna , Basyarach Niken Adriaty , W Izzah Aula 
Published: August 2022

Pengecekan kondisi kesalahan pada taksi motor lokomotif seri CC 201 dan CC 203 apabila terjadi gangguan saat ini tidak dapat terdeteksi secara otomatis, sehingga apabila terjadi gangguan pada traksi motor, pengecekan untuk perbaikannya masih manual dengan cara pekerja tenaga perawatan harus mencari terlebih dahulu traksi motor mana yang mengalami gangguan dengan melihat pada kondisi traksi motor satu per satu, hali ini dirasa kurang efesien, dan membutuhkan waktu yang lama. Berdasarkan permasalahan diatas,dibutuhkan suatu alat untuk melakukan pembacaan kesalahan arus pada masing – masing traksi motor lokomotif CC 201/ CC 203 agar dapat mempercepat proses pendeteksian terjadinya gangguan pada traksi motor. Tugas akhir ini berupa aplikasi yang dapat menampilkan kondisi arus pada 3 traksi motor lokomotif CC 201/ CC 203 melalui aplikasi blynk. Alat ini menggunakan LEM HTC 1000 sebagai sensor arus, NodeMCU ESP32 sebagai pengolah data, dan aplikasi blynk untuk menampilkan hasil pembacaan serta notifikasi adanya gangguan. Pada pengujian sistem, dilakukan dengan cara membandingkan hasil pembacaan alat yang telah dibuat dengan hasil pembacaan secara manual menggunakan tang ampere, kemudian nilai arus pada masing – masing traksi motor selalu ditampilkan pada aplikasi blynk sehingga ketika ada gangguan pada salah satu traksi motor akan kemudian ditampilkan notifikasi berisi pada traksi motor ke berapa yang sedang mengalami gangguan besera nilai arusnya. Dari pengujian tersebut untuk sistem monitoring deteksi gangguan traksi motor dapat berjalan dengan baik dengan tampilan arus tiap – tiap traksi motor dapat diketahui melalui aplikasi blynk begitu pula pada saat adanya gangguan. Untuk kestabilan monitoring tersebut dalam melakukan pembacaan juga dirasa cukup baik dengan waktu realtime dengan selisih pengukuran dalam 10 kali percobaan didapatkan selisih kecepatan pembacaan tidak lebih dari 1 detik sehingga alat dapat memberikan informasi di traksi motor mana yang sedang terjadi gangguan dengan notifikasi pada aplikasi blynk dengan cepat.
PERANCANGAN APLIKASI PENGENALAN HEWAN BERBASIS ANDROID DENGAN METODE SQUENTIAL SEARCH
Authors: Satria Rizko Eki , Musyaffa Numan 
Published: August 2022

Game edukasi mempunyai kelebihan dalam hal visualisasi dari permasalahan yang nyata. Selain itu game edukasi juga memiliki bentuk pengajaran yang cepat, menarik dan bermanfaat. Aplikasi Pengenal Hewan ini bertujuan untuk menjadi media pembelajaran visual yang digunakan anak–anak usia dini agar bisa lebih mengenal hewan berdasarkan jenis makanan dan tempat hidupnya. Dalam aplikasi pengenal hewan ini pengguna dapat melihat jenis hewan dengan gambar animasi yang sudah ada dalam aplikasi pengenal hewan ini, selain itu pengguna juga bisa mendengarkan pengertian dari setiap jenis hewan yang ada didalam aplikasi ini dengan media suara yang sudah di sediakan dalam aplikasi pengenal hewan ini. Aplikasi ini dikembangan dengan Android Studio dengan bentuk javascript dan manajemen pengolahan data dengan Mysql. Aplikasi ini juga mempunyai fitur pencarian yang memudahkan pengguna untuk mencari jenis hewan, fitur ini menerapkan Algorithma Squential Search. Aplikasi ini menggunakan metode pengujian Black Box Testing. Aplikasi pengenal hewan ini juga sudah melalui proses uji coba dengan pengguna yang langsung diwawancarai . setelah semua fitur diuji, aplikasi ini berjalan dengan baik pada sistem operasi android. Aplikasi ini masih perlu diuji coba diperangkat mobile lainnya agar aplikasi ini bisa digunakan banyak pengguna lainnya. Untuk pengembangan aplikasi ini bisa ditambahkan fitur yang lebih menarik dan interaktif dari sebelumnya.
SISTEM INFORMASI BERBASIS WEB APLIKASI E-TRASH BANK SAMPAH
Authors: Al Amin Ari , Saputra Eka , Al Hafiz Fariz , Abdul Aziz Malik , Solehudin Solehudin , Rifai Bakhtiar 
Published: August 2022

Pembangunan Bank Sampah menjadi titik awal untuk membina kesadaran masyarakat untuk memulai memilah, mendaur-ulang, dan memanfaatkan sampah, karena sampah mempunyai nilai jual yang cukup baik, sehingga pengelolaan sampah yang berwawasan lingkungan menjadi budaya baru Indonesia. Sampah saat ini masih menjadi penyebab utama dari pencemaran lingkungan, akar dari permasalahan ini adalah masyarakat yang tidak dibiasakan untuk bertanggung jawab terhadap sampahnya sendiri. Masyarakat selalu menganggap bahwa pengolahan sampah sepenuhnya menjadi tanggung jawab dari pemerintah. Karang Taruna Unit Rw 07 Sudah menyediakan bank sampah namun masih menggunakannya dengan cara manual yaitu hanya dengan menggunakan pencatatan di buku dan belum memanfaatkan sistem informasi berbasis teknologi, oleh sebab itu untuk masalah yang sedang dialami oleh masyarakat saat ini agar dapat memecahkan masalah tentang bank sampah yaitu dengan menciptakan sebuah sistem informasi berbasis web “E-Trash” ini bertujuan agar masyarakat sekitar mendapatkan informasi mengenai bank sampah dan menjadikan masyarakat yg peduli akan lingkungan. Dengan demikian bank sampah sangat menjadi peran penting untuk menanggulangi sampah rumah tangga yang semakin hari semakin menumpuk di TPS (Tempat Pembuangan Sementara) dan di TPA (Tempat Pembuangan Akhir), ini bertujuan agar menjadikan lingkungan masyarakat menjadi lebih bersih dan sehat.

Kata Kunci : Bank Sampah, Sistem Informasi, E-Trash
Perancangan Sistem E-Learning Berbasis Web Pada PPKPI Pasar Rebo
Authors: Purwanto Ilyas 
Published: August 2022

Pada mulanya e-learning diciptakan untuk mempermudah pelaksanaan distance learning atau pembelajaran jarak jauh . Pembelajaran jarak jauh adalah suatu bentuk pembelajaran dimana peserta didik dan pendidik terpisah oleh jarak dan waktu. Bentuk pembelajaran ini pertama muncul di Amerika dan Eropa lebih dari satu abad yang lalu. Pembelajaran ini diterapkan sebagai inovasi dari pembelajaran konvensinal pada umumnya . E-learning muncul sebagai solusi atas banyaknya masalah yang timbul akibat keterbatasan waktu, tempat dan jumlah pertemuan antara pendidik dengan peserta didik. E-learning sebagai alat bantu dalam proses pembelajaran yang menawarkan beberapa keunggulan sehingga dapat menyelesaikan permasalahan yang kerap muncul dalam proses pembelajaran. Berdasarkan keterbatasan jumlah dan waktu pertemuan, maka dibangunlah E-learning berbasis web dengan mengunakan bahasa pemrograman PHP dan database MySQL. Hasilnya telah dibangun E-learning untuk PPKPI Pasar Rebo dengan fasilitas sebagai media penyebaran materi pembelajaran dan media penyebaran tugas. Dengan dibuatnya e-learning ini diharapkan bisa mempermudah proses belajar mengajar tanpa terikat waktu dan tempat.

Kata Kunci : E-learning, PHP, MySQL , waktu, solusi
PERANCANGAN APLIKASI SISTEM SURAT MENYURAT RUKUN WARGA RW 06 PESANGGRAHAN BERBASIS WEB
Authors: Fahmi Wahyu Nur Rahmat , Kristiana Titin 
Published: August 2022

Banyak jumlah surat yang dibuat dan diterima dibagian administrasi Kelurahan Pesanggrahan, sehingga pencarian data akan menjadi tidak efisien dalam hal waktu dan tenaga dengan menggunakan sistem manual. Sehingga pada saat ini diperlukan suatu sistem administrasi manajemen surat yang lebih terstruktur agar dapat mempercepat pencarian data yang ada dan pembuatan laporan, sehingga penulis merasa perlu merancang aplikasi Arsip Surat Menyurat yang dianggap perlu dan membantu pihak RT. Aplikasi ini dirancang menggunakan PHP dan MySQL. Karena berbasis web, aplikasi kearsipan ini mempunyai kemampuan, dapat diakses dimanapun, admin atau p dapat mengelola dengan login user sehingga dapat melakukan menambah, mengedit, membatalkan, menghapus dan menyimpan surat masuk dan keluar, dapat melakukan pencarian surat masuk dan surat keluar berdasarkan pengirim dan perihal, hasil pencarian dapat dilakukan pengurutan berdasar id surat atau tanggal surat, serta dapat mencetak laporan. Hasil yang diperoleh dari implementasi aplikasi arsip surat menyurat ini yaitu memudahkan warga dalam mengelola pengarsipan surat yang dulunya manual sekarang menjadi digital, serta sangat membantu warga dalam melakukan pembuatan surat menyurat di kelurahan pesanggrahan.
Kata Kunci: Arsip Surat, Mysql, PHP, Warga