bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reducing Drinking Among People Experiencing Homelessness: Protocol for the Development and Testing of a Just-in-Time Adaptive Intervention
Authors: Businelle Michael S , Walters Scott T , Mun Eun-Young , Kirchner Thomas R , Hébert Emily T , Li Xiaoyin 
Published: January 2020

BackgroundAdults who are homeless are more likely to have alcohol use disorders (AUDs) compared with domiciled adults. Although AUD treatments are commonly available, many factors (eg, transportation limitations and inability to schedule appointments) contribute to low treatment completion rates and low success rates of these interventions among adults experiencing homelessness. Most adults who are homeless own mobile phones; however, no interventions have been developed that use mobile devices to deliver and support AUD interventions for this population. Mobile phone–based AUD interventions may reduce barriers that have limited the use and utility of traditional interventions.ObjectiveThe aim of this study is to (1) identify variables (eg, affect, stress, geolocation, and cravings) that predict drinking among homeless adults (phase I), (2) develop a mobile intervention that utilizes an algorithm to identify moments of risk for drinking and deliver treatment messages that are tailored to the individual’s current needs in real time (phase II), and (3) pilot test the intervention app (phase III).MethodsIn phase I, adults experiencing homelessness with an AUD (N=80) will complete baseline, equipment, 2-week, and 4-week follow-up visits in person. Participants will be prompted to complete five daily ecological momentary assessments on a study-provided smartphone for 28 days. The smartphone app will collect GPS coordinates every 5 min for the entire 28-day study period. Participants will wear a transdermal alcohol sensor that will objectively measure alcohol use. In phase II, we will use phase I data to develop an algorithm that identifies moments of heightened risk for drinking and develop treatment messages that address risk factors for drinking. Phase III will pilot test the intervention in 40 adults experiencing homelessness with AUD.ResultsThis project was funded in June 2018. IRB approval was obtained in October 2018, and data collection for phase I began in February 2019. Phase III data collection is expected to conclude in 2020. To date, 80 participants have consented to the study, and data analysis for phase I will begin in early 2020.ConclusionsThis research will highlight intervention targets and develop a novel intervention for understudied and underserved adults experiencing homelessness with AUD.International Registered Report Identifier (IRRID)DERR1-10.2196/15610
The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment
Authors: Tom-Aba Daniel , Silenou Bernard Chawo , Doerrbecker Juliane , Fourie Carl , Leitner Carl , Wahnschaffe Martin , Strysewske Maté , Arinze Chinedu Chukwujekwu , Krause Gerard 
Published: January 2020

Background
Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response.

Objective
The objective of this study was to evaluate the maturity of SORMAS using Digital Square’s GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements.

Methods
We evaluated SORMAS using the GGMM version 1.0 indicators to measure its development. SORMAS was scored based on all the GGMM indicator scores. We described how we used the GGMM to guide the development of SORMAS during the study period. GGMM contains 15 subindicators grouped into the following core indicators: (1) global utility, (2) community support, and (3) software maturity.

Results
The assessment of SORMAS through the GGMM from November 2017 to October 2019 resulted in full completion of all subscores (10/30, (33%) in 2017; 21/30, (70%) in 2018; and 30/30, (100%) in 2019). SORMAS reached the full score of the GGMM for digital health software tools by accomplishing all 10 points for each of the 3 indicators on global utility, community support, and software maturity.

Conclusions
To our knowledge, SORMAS is the first electronic health tool for disease surveillance, and also the first outbreak response management tool, that has achieved a 100% score. Although some conceptual changes would allow for further improvements to the system, the GGMM already has a robust supportive effect on developing software toward global goods maturity.
Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study
Authors: Kim Myeong Gyu , Kim Jungu , Kim Su Cheol , Jeong Jaegwon 
Published: January 2020

Background
Methylphenidate, a stimulant used to treat attention deficit hyperactivity disorder, has the potential to be used nonmedically, such as for studying and recreation. In an era when many people actively use social networking services, experience with the nonmedical use or side effects of methylphenidate might be shared on Twitter.

Objective
The purpose of this study was to analyze tweets about the nonmedical use and side effects of methylphenidate using a machine learning approach.

Methods
A total of 34,293 tweets mentioning methylphenidate from August 2018 to July 2019 were collected using searches for “methylphenidate” and its brand names. Tweets in a randomly selected training dataset (6860/34,293, 20.00%) were annotated as positive or negative for two dependent variables: nonmedical use and side effects. Features such as personal noun, nonmedical use terms, medical use terms, side effect terms, sentiment scores, and the presence of a URL were generated for supervised learning. Using the labeled training dataset and features, support vector machine (SVM) classifiers were built and the performance was evaluated using F1 scores. The classifiers were applied to the test dataset to determine the number of tweets about nonmedical use and side effects.

Results
Of the 6860 tweets in the training dataset, 5.19% (356/6860) and 5.52% (379/6860) were about nonmedical use and side effects, respectively. Performance of SVM classifiers for nonmedical use and side effects, expressed as F1 scores, were 0.547 (precision: 0.926, recall: 0.388, and accuracy: 0.967) and 0.733 (precision: 0.920, recall: 0.609, and accuracy: 0.976), respectively. In the test dataset, the SVM classifiers identified 361 tweets (1.32%) about nonmedical use and 519 tweets (1.89%) about side effects. The proportion of tweets about nonmedical use was highest in May 2019 (46/2624, 1.75%) and December 2018 (36/2041, 1.76%).

Conclusions
The SVM classifiers that were built in this study were highly precise and accurate and will help to automatically identify the nonmedical use and side effects of methylphenidate using Twitter.
Costing and Cost-Effectiveness of a Mobile Health Intervention (ImTeCHO) in Improving Infant Mortality in Tribal Areas of Gujarat, India: Cluster Randomized Controlled Trial
Authors: Modi Dhiren , Saha Somen , Vaghela Prakash , Dave Kapilkumar , Anand Ankit , Desai Shrey , Shah Pankaj 
Published: January 2020

Background
During 2013, a mobile health (mHealth) program, Innovative Mobile Technology for Community Health Operation (ImTeCHO), was launched in predominantly tribal and rural communities of Gujarat, India. ImTeCHO was developed as a job aid for Accredited Social Health Activists (ASHAs) and staff of primary health centers to increase coverage of maternal, neonatal, and child health care.

Objective
In this study, we assessed the incremental cost per life-years saved as a result of the ImTeCHO intervention as compared to routine maternal, neonatal, and child health care programs.

Methods
A two-arm, parallel, stratified cluster randomized trial with 11 clusters (primary health centers) randomly allocated to the intervention (280 ASHAs, n=2,34,134) and control (281 ASHAs, n=2,42,809) arms was initiated in 2015 in a predominantly tribal and rural community of Gujarat. A system of surveillance assessed all live births and infant deaths in the intervention and control areas. All costs, including those required during the start-up and implementation phases, were estimated from a program perspective. Incremental cost-effectiveness ratios were estimated by dividing the incremental cost of the intervention with the number of deaths averted to estimate the cost per infant death averted. This was further analyzed to estimate the cost per life-years saved for the purpose of comparability. Sensitivity analysis was undertaken to account for parameter uncertainties.

Results
Out of a total of 5754 live births (3014 in the intervention arm, 2740 in the control arm) reported in the study area, per protocol analysis showed that the implementation of ImTeCHO resulted in saving 11 infant deaths per 1000 live births in the study area at an annual incremental cost of US $163,841, which is equivalent to US $54,360 per 1000 live births. Overall, ImTeCHO is a cost-effective intervention from a program perspective at an incremental cost of US $74 per life-years saved or US $5057 per death averted. In a realistic environment with district scale-up, the program is expected to become even more cost-effective.

Conclusions
Overall, the findings of our study strongly suggest that the mHealth intervention as part of the ImTeCHO program is cost-effective and should be considered for replication elsewhere in India.

Trial Registration
Clinical Trials Registry of India CTRI/2015/06/005847; http://www.ctri.nic.in/Clinicaltrials/pdf_generate.php?trialid=11820&EncHid=&modid=&compid=%27,%2711820det%27
Perspectives From Municipality Officials on the Adoption, Dissemination, and Implementation of Electronic Health Interventions to Support Caregivers of People With Dementia: Inductive Thematic Analysis
Authors: Christie Hannah Liane , Schichel Mignon Chloë Philomela , Tange Huibert Johannes , Veenstra Marja Yvonne , Verhey Frans Rochus Josef , de Vugt Marjolein Elizabeth 
Published: January 2020

BackgroundVery few evidence-based electronic health (eHealth) interventions for caregivers of people with dementia are implemented into practice. As part of a cross-border collaboration focusing on dementia and depression in older people, two eHealth interventions for caregivers of people with dementia (“Myinlife” and “Partner in Balance”) were adopted by nine municipalities in the Euregion Meuse-Rhine.ObjectiveThis study aimed to (1) identify determinants for the implementation of eHealth interventions for caregivers of people with dementia in a municipality context and (2) formulate implementation strategies for these interventions.MethodsEight municipality officials were interviewed using open-ended, semistructured interviews about their background, thoughts on the implementation of the intervention, recommended strategies, and thoughts on eHealth in general. One additional municipality discontinued the implementation project and submitted answers to the interview questions via email. The interviews were transcribed and independently analyzed using inductive thematic analysis.ResultsThe interviews provided information on the perspectives of municipality officials on implementing eHealth for caregivers of people with dementia in their local communities. Key findings from the inductive thematic analysis included the importance of face-to-face interviews in developing tailor-made implementation plans, the need for regular meetings, the enthusiasm of municipality officials to implement these interventions, the need for long-term sustainability planning through collecting data on the required resources and benefits, and the effect of name brand recognition in adoption.ConclusionsThe findings contribute toward filling the previously identified gap in the literature on the implementation context of eHealth interventions for caregivers of people with dementia. Municipality officials’ views indicated which implementation determinants they expected would influence the adoption, dissemination, and future implementation of eHealth interventions for caregivers of people with dementia in a municipal context. These insights were applied to tailored implementation strategies to facilitate the future implementation of interventions such as Myinlife and Partner in Balance.
Pengembangan Sistem E-Learning untuk Meningkatkan Keterampilan Berpikir Kritis Mahasiswa Pendidikan Fisika (Halaman 45 s.d. 48)
Authors: Dwi Aristya Putra Pramudya , - Sudarti 
Published: January 2020

Penelitian bertujuan mengembangkan perangkat pembelajaran untuk meningkatkan keterampilan berpikir kritis mahasiswa melalui sistem e-learning. Metode yang digunakan adalah 2R2D yang dikembangkan oleh Willis. Tahapan penelitian ini terdiri dari pendefinisian, perencanaan dan menyebarluaskan. Data diperoleh melalui pretest, angket dan posttest dengan bentuk instrument berupa lembar angket dan butir soal berpikir kritis. Subyek penelitian adalah 35 Mahasiswa Program Studi Pendidikan Fisika Universitas Jember yang memprogram pada mata kuliah Fisika Sekolah I. Hasil indikator yang dikembangkan dalam berpikir kritis adalah interprestasi, analisis, evaluasi dan inferensi. Validasi ahli menjukkan bahwa perangkat yang dikembangkan adalah cukup valid. Terjadi peningkatan rata-rata pada uji coba perangkat. Berdasarkan penelitian didapatkan simpulan bahwa perangkat pembelajaran dengan sistem e-learning meningkatkan keterampilan berpikir kritis mahasiswa.
Sistem Pelacak Otomatis Gerakan Benda Langit Pada Teleskop Refraktor Berbasis Mikrokontroler (Halaman 82 s.d. 85)
Authors: Burhanuddin Latief M. , - Muchlas , Pramudya Yudhiakto 
Published: January 2020

Banyak aktivitas menakjubkan yang terjadi pada benda-benda langit seperti bintang, matahari dan bulan setiap waktu, sehingga para astronom tertarik untuk melakukan penelitian dengan cara melihatnya melalui teleskop. Saat ini teleskop yang tersedia sebagian besar hanya dapat melakukan pelacakan gerak bintang saja. Melalui penelitian ini, dirancang teleskop yang dapat melakukan pelacakan secara otomatis gerak matahari dan bulan. Sistem pelacak benda-benda langit pada penelitian ini dibangun dengan menggunakan motor stepper yang dikendalikan oleh mikrokontroler jenis ATMega32. Algoritma pengendaliannya menggunakan sistem kendali terbuka dengan basis waktu. Kinerja alat diuji dengan membandingkan hasil pengukuran pergeseran sudut setiap jam dari teleskop refraktor terhadap nilai teoritiknya untuk setiap benda langit yang diamati. Hasil penelitian menunjukkan bahwa sistem yang dibangun dapat melakukan pelacakan secara otomatis pergerakan benda-benda langit dengan akurat. Kelebihan dari sistem ini adalah menyediakan fasilitas setting sudut melalui tombol saklar yang disediakan tanpa melakukan program ulang. Selain itu, sistem ini menyediakan pula mode pelacakan gerak bulan secara otomatis, yang tidak tersedia pada teleskop refraktor yang lain.
Kualtias Air Tanah di Sepanjang Kali Gajah Wong Ditinjau dari Pola Sebaran Escherichia Coli (Studi Kasus Kecamatan Umbulharjo) (Halaman 8 s.d. 11)
Authors: Winata Ekrar , Hartantyo Eddy 
Published: January 2020

Saat ini, limbah cair dari kegiatan manusia pada umumnya langsung dibuang atau dialirkan ke sungai. Hal ini akan berdampak buruk kepada kualitas air sungai dan air sumur. Penelitian ini dilakukan untuk menentukan parameter-parameter kualitas air, diantaranya adalah parameter fisik berupa suhu, parameter kimia berupa pH dan DO (Dissolved Oxigen), dan parameter biologi, yaitu bakteri E.coli pada beberapa sampel air sumur di sekitar aliran sungai Gajah Wong. Hasil analisis kehadiran golongan bakteri coli dilakukan melalui uji laboratorium di Laboratorium Hidrologi Fakultas Geografi UGM. Kandungan golongan bakteri coli di sepanjang Kali Gajah Wong sangat tinggi, sebanyak 46 % penyebaran E.coli berada diatas ambang batas yaitu 2400 mg/l pada titik 1, 6, 22, 24, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 38, 40, 44, 45, 46, 48,49. Pola Sebaran E.coli semakin meningkat dari Kelurahan Bajiro sampai Kompleks Gembiraloka. Salah satu penyebabnya adalah arah aliran air Kali Gajah Wong dari utara ke selatan. Sehingga persebaran bakteri E.coli mengikuti arah aliran air. Persebaran bakteri E.coli pada lokasi penelitian dapat dilihat secara geografis denga menggunakan program Surfer.
Transisi Keadaan Defect-Non Defect pada Konveksi Listrik Kristal Cair Nematic Homeotropic dibawah Pengaruh Medan Magnet (Halaman 12 s.d. 15)
Authors: Nugroho Fahrudin , Hidaka Yoshiki , Ueki Tatsuhiro , Kai Shoichi 
Published: January 2020

Dalam penelitian kali ini akan dikaji fenomena konveksi listrik kristal cair nemaik homeotropik dibawah pengaruh medan magnet luar. Dalam percobaan dapat diamati fenomena munculnya defect pada soft mode turbulence yaitu spatiotemporal chaos akibat interaksi moda konveksi listrik dengan moda Nambu-Goldstone. Dapat diamati bahwa terjadi transisi keadaan defect ke keadaan non defect yang terjadi pada medan magnet kritis tertentu Hc = 450 G. Lebih lanjut dengan pengamatan cross polarizer telah berhasil dijelaskan femonena terjadinya transisi dari keadaan defect ke non defect tersebut. Hal itu diakibatkan oleh tertekannya kebebasan berotasi dari kristal cair nematik.
Studi Adsorpsi Logam Co(II), Cu(II), dan Ni(II) Dalam Limbah Cair Buatan Menggunakan Adsorben Nanopartikel Magnetik Fe3O4 dan ZnFe2O4
Authors: Wuryanti Desiana , Suharyadi Edi 
Published: January 2020

Telah berhasil dilakukan studi adsorpsi logam Co(II), Cu(II), dan Ni(II) dalam limbah cair buatan menggunakan adsorben nanopartikel magnetik Fe3O4 dan ZnFe2O4. Nanopartikel Fe3O4 dan ZnFe2O4 disintesis menggunakan metode kopresipitasi. Pengaruh suhu (300C, 600C, 900C, 1200C, dan 1500C) ,dan lama pengadukan (10 menit, 60 menit, dan 120 menit), serta perbandingan efektivitas adsorben nanopartikel Fe3O4 dan ZnFe2O4 dilakukan pada penelitian ini. Adsorpsi dalam pengaruh suhu untuk adsorben nanopartikel Fe3O4 menunjukkan penurunan adsorpsi. Adsorpsi maksimum terjadi pada suhu rendah (300C) dengan persentase adsorpsi logam Co(II), Cu(II), dan Ni(II) masing-masing sebesar 20,34%, 88,90%, dan 22,86%. Pada adsorben nanopartikel ZnFe2O4 terjadi kenaikan adsorpsi. Adsorpsi maksimum terjadi pada suhu tertinggi (1500C) dengan persentase adsorpsi logam Co(II), Cu(II), dan Ni(II) masing-masing sebesar 28,90%, 100%, dan 29,40%. Adsorpsi dalam pengaruh lama pengadukan menggunakan kedua adsorben mengalami penurunan adsorpsi. Adsorpsi logam Co(II), Cu(II), dan Ni(II) oleh adsorben ZnFe2O4 lebih efektif dibandingkan Fe3O4 karena memiliki ukuran butir lebih kecil.
Aplikasi Multi Hill Effect Untuk Mempermudah Analisis Geomorfologi Dalam Mengidentifikasi Sesar Aktif di Pidie Jaya
Authors: Irwandi Irwandi 
Published: January 2020

Sumatera memiliki dua sesar aktif utama yaitu Sunda Subduction Zone dan Great Sumatra Strike-slip fault. Namun gempabumi Pidie Jaya 7 Desember 2016 magnitudo 6.5 dan 102 korban jiwa tidak terjadi pada sesar aktif tersebut. Banyak sesar aktif yang masih luput dari pengamatan. Memetakan sesar aktif bukan pekerjaan yang mudah, ditambah lagi frekuensi gempa untuk sesar cabang relatif lebih kecil dibandingkan di sesar utama. Sehingga, penulis mencoba melakukan kajian geomorfologi dengan menganalisis hill effect dari data topografi digital dari sesar utama Sumatera hingga pantai Pidie Jaya. Multi hill effect akan menghasilkan efek yang lebih baik sehingga lebih mudah mengidentifikasi sesar aktif. Semua proses menggunakan software Quantum GIS (QGIS) yang merupakan FOSS (Free Open Source Software). Rumitnya geomorfologi Aceh tentunya dengan hanya menggunakan metode tersebut belum mampu memberikan jawab yang memuaskan tentang teka-teki sesar aktif penyebab gempa Pidie Jaya. Namun metode tersebut dapat digunakan sebagai metode pendahuluan dan masih perlu digabungkan dengan informasi dari metode lainnya.
Pembelajaran Pendekatan "Scientific Aproach" yang Terintegrasi dalam Model Pebelajaran Berbasis Proyek (PBP) Sebagai Upaya Pencapaian KOmpetensi Ilmiah Mahasiswa Pada Program Studi Pend. Fisika FKIP UPR
Authors: Hutahaean Saulim Dapottua , Nawir Nawir , Hartanto Theo Jhoni 
Published: January 2020

Tujuan dari penelitian ini adalah untuk mengimplementasikan Pembelajaran Pendekatan Scientific Aproach yang Terintegrasi dalam Model Pembelajaran Berbasis Proyek (PBP) Sebagai Upaya Pencapaian Kompetensi Ilmiah Mahasiswa Pada Program Studi Pend. Fisika FKIP UPR. Secara rinci kompetensi yang di teliti adalah keterampilan mahasiswa dalam; (a) melakukan perencanaan, (b melakukan perancangan, (c) melaksanakan penyelidikan, (d) melakukan pelaporan. Metode yang digunakan dalam penelitian ini adalah studi kasus dan desain penelitian praeksperimen dengan rancangan One Group Pretest-Posttest Design, dimana sampel penelitian ini adalah 48 orang mahasiswa prodi fisika yang sedang menempuh mata kuliah pengembangan program pengajaran fisika. . Data kuantitatif diperoleh melalui tes kinerja dan tes kognitif yang kemudian dianalisis secara deskriptif. Hasil penelitian menunjukan bahwa implementasi Pembelajaran Pendekatan Scientific Aproach yang Terintegrasi dalam Model Pembelajaran Berbasis Proyek (PBP) membawa dampak pada penguasaan keterampilan mahasiawa dalam hal a) melakukan perencanaan kategori cukup baik b) melakukan perancangan kategori baik ,(c) melaksanakan penyelidikan kategori sangan baik, dan (d) melakukan pelaporan kategori baik.
Pemikiran Hukum Adat Djojodigoeno dan Relevansinya Kini
Authors: Sulastriyono Sulastriyono , Intaning Pradhani Sartika 
Published: January 2020

AbstractDjojodigoeno Adat legal thought is started from awareness that the nature of adat law is law. Adat law is the contrary of written law and it is a legal reality. Adat law as original law of Indonesia is the material of Indonesia national law formulation. Sociology and ethnography empirical legal research are tools to find adat law from its source of law. The purpose of adat law finding is to construct Indonesia state law which reflects national identity according to Indonesia socialism. In this current situation, adat law study gives more attention to rights of indigenous peoples and adoption of adat law in legislation; therefore, it is far from Djojodigoeno’s expectation. IntisariPemikiran hukum adat Djojodigoeno berangkat dari kesadaran bahwa hakikat hukum adat adalah hukum. Hukum adat adalah lawan dari hukum tertulis dan merupakan realitas hukum. Hukum adat sebagai hukum asli Indonesia menjadi material bagi terbentuknya hukum nasional Indonesia. Penelitian hukum lapangan pada sumber hukum adat secara sosiologi dan etnografi adalah cara untuk menemukan hukum adat. Tujuan dari penemuan hukum adat adalah untuk membentuk hukum negara Indonesia yang mencerminkan kepribadian nasional berdasarkan sosialisme Indonesia. Saat ini kajian hukum adat fokus pada hak-hak masyarakat hukum adat dan adopsi hukum adat dalam peraturan; sehingga semakin jauh dari harapan Djojodigoeno.