bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Kekeringan Meteorologi dengan Menggunakan Metode Standardized Precipitation (SPI) dan Reconnaissance Drought Index (RDI) di DAS Lekso Kabupaten Blitar
Authors: Listya Amifta Farah , Harisuseno Donny , Suhartanto Ery 
Published: September 2021

Drought can be defined as a temporary reduction in a water supply that is significantly below normal. The drought that is currently occurring in Indonesia has resulted in a prolonged lack of water supply for subsistence needs, agriculture, and economic activities. Reviewing the impact, analysis is needed for areas that have the potential for drought. There are several methods developed to analyze droughts, such as SPI (Standardized Precipitation Index) and RDI (Reconnaissance Drought Index), to know the level and characteristics of an area of drought. After analyzing the two indexes, a map of the distribution of drought was carried out using a GIS to make it easier to interpret the areas that experience drought potential in the Lekso watershed and to make efforts to mitigate the dangers of drought. The results showed that the peak of the drought with the RDI method of 1-month deficit occurred in May 2005 with the villages of Slumbung, Balerejo, Semen, Tulungrejo, and Soso. Based on the analysis of the suitability between the drought index and the SOI data, it is concluded that the drought index calculation of the RDI method has a higher percentage level of conformity than the SPI drought index method.Kekeringan dapat didefinisikan pengurangan persediaan air yang bersifat sementara secara signifikan di bawah normal. Bencana kekeringan yang terjadi di Indonesia saat ini mengakibatkan daerah kekurangan suplai air untuk kebutuhan hidup, pertanian, dan kegiatan ekonomiÂ dalam masa yang berkepanjangan. Meninjau dampak yang ditimbulkan, maka diperlukan analisis untuk daerah-daerah yang memiliki potensi terjadinya bencana kekeringan. Terdapat beberapa metode yang dikembangkan untuk menganalisis kekeringan, seperti SPI (Standardized Precipitation Index) dan RDI (Reconnaissance Drought Index), sehingga mengetahui tingkat dan karakteristik kekeringan suatu daerah. Setelah melakukan analisis dengan kedua indeks tersebut dilakukan pengambaran peta sebaran kekeringan menggunakan Sistem Informasi Geografi sehingga mempermudah menginterpretasikan daerah yang mengalami potensi kekeringan pada DAS Lekso , serta dapat melakukan upaya-upaya pencegahan dan penanggulangan bahaya bencana kekeringan. hasil penelitian menunjukkan puncak kekeringan metode SPI periode defisitÂ 1 bulan terjadi Mei tahun 2005 dengan wilayah desa yaitu Desa Slumbung, Balerejo, Semen, Tulungrejo dan Soso. Sedangkan pada metode RDI , puncak kekeringan terjadi pada bulan Mei tahun 2005 dengan wilayah desa yang mengalami kekeringan yaitu Desa Slumbung,Â Balerejo, Semen, Tulungrejo dan Soso. Berdasarkan analisis kesesuaian antara indeks kekeringan dengan data Southern Oscillation Indeks, disimpulkan bahwa perhitungan indeks kekeringan metode RDI memiliki prosentase tingkat kesesuaian lebih tinggi dibandingkan dengan metode indeks kekeringan SPI.
Analisis Curah Hujan Serial Terhadap Debit Maksimum di Sub DAS Kampili, DAS Jeneberang, Sulawesi Selatan
Authors: Salsabila Nadia , Limantara Lily Montarcih , Fidari Jadfan Sidqi 
Published: September 2021

Curah hujan serial yang terjadi di Sulawesi Selatan dengan keadaan curah hujan lebat hingga curah hujan sangat lebat berpotensi menimbulkan bencana hidrometerologi seperti genangan, banjir, tanah longsor, dan banjir bandang. Bencana banjir akibat curah hujan tinggi ini terjadi di beberapa daerah termasuk di Sub DAS Kampili, Kabupaten Gowa. Penelitian ini mengidentifikasi kesetaraan akumulasi curah hujan serial terhadap debit banjir rancangan untuk mengetahui keadaan curah hujan serial penyebab kejadian banjir. Metode yang digunakan adalah Hidrograf Satuan Observasi (HSO) Metode Collins dan Hidrograf Satuan Sintesis (HSS) Nakayasu yang kemudian akan dianalisa kesetaraan akumulasi curah hujan serial dengan debit banjir rancangan secara relatif. Hasil kesalahan relatif (%) pada perbandingan HSO Collins dan HSS Nakayasu untuk waktu puncak (Tp) sebesar 5,35% dan debit puncak (Qp) sebesar 15,36%. Pada studi kasus ini, curah hujan rancangan kala ulang 2 tahun sebesar 98,299 mm setara dengan akumulasi curah hujan serial sebesar 62 mm. Sedangkan untuk Q1,1th sebesar 49,913 m3/dt disebabkan oleh curah hujan serial dengan keadaan curah hujan sedang pada kejadian banjir tanggal 7 Oktober 2012, curah hujan lebat pada kejadian banjir tanggal 9 Maret 2011, 12Â Februari 2015, 3 Februari 2017, serta curah hujan sangat lebat pada kejadian banjir tanggal 20 April 2013.
Analisa Keruntuhan Bendungan Gembong Di Kabupaten Pati Dengan Menggunakan Program Zhong Xing HY21
Authors: Milleanisa Khofifah Endar , Asmaranto Runi , Juwono Pitojo Tri 
Published: September 2021

A dam is a structure built across a river to hold back water. Reservoirs created by dams not only suppress floods but also provide water for activities such as for water, irrigation, power generation, and flood control. But behind the benefits that can be obtained from dams, dams also have a large potential hazard in the form of the possibility of a dam break. The main causes of dam break are overtopping and pipping. So that analysis is needed related to dam break to minimize the impact. Based on the Zhong Xing HY21 software, the most severe impact of the break of the Gembong Dam was due to overtopping using the QInflow PMF design flood of 780,967 m3/s and resulted in an inundation area of 54,682 km2 with a maximum inundation height of 5,129 m. As a result of the break of the Gembong Dam, 37 villages downstream of the Gembong Dam were flooded. There are 80,819 people affected by this risk and it is stated that all affected villages are at the 4th hazard classification level or very high hazard.Â Bendungan adalah suatu struktur dibangun di sungai untuk menahan air. Waduk yang diciptakan oleh bendungan tidak hanya menekan banjir tapi juga menyediakan air untuk kegiatan seperti irigasi, pembangkit tenaga listrik, dan pengendali banjir. Namun di samping manfaatnya yang besar, pembangunan bendungan juga berpotensi membahayakan keselamatan masyarakat, yakni berupa keruntuhan bendungan. Penyebab utama dari keruntuhan bendungan adalah overtopping dan pipping. Sehingga diperlukan analisis terkait keruntuhan bendungan untuk meminimalisir dampak yang ditimbulkan. Berdasarkan software Zhong Xing HY21, dampak keruntuhan Bendungan Gembong yang paling parah disebabkan karena overtopping dengan menggunakan QInflow banjir desain PMF sebesar 780,967 m3/det dan menghasilkan luas genangan 54,682 km2 dengan tinggi genangan maksimum 5,129 m. Akibat keruntuhan Bendungan Gembong, 37 desa di hilir Bendungan Gembong terkena banjir. Terdadpat 80.819 jiwa penduduk terkena risiko tersebut dan dinyatakan bahwa seluruh desa terdampak berada pada tingkat klasifikasi bahaya ke-4 atau bahaya sangat tinggi.
Studi Sebaran Karakteristik Kualitas Air dengan Parameter BOD, COD, DO, NH3-N, TSS, dan pH di Waduk Sutami
Authors: Nathania Nadya Ayu , Sayekti Rini Wahyu , Sholichin Moh. 
Published: September 2021

Sutami Reservoir is a multipurpose reservoir with a water supply from Brantas River. The problem that occurs in the Brantas River is the decline in water quality due to the high discharge of agricultural, domestic, and industrial waste. The purpose of this study is to determine the distribution of water quality in 2015-2020 for the dry season using the Pollution Index, determine the regression model that best suits the variation of the pollution index value, and determine the pollution load capacity for Total-P in 2016 based on its trophic status. This research was conducted at the Upper, Middle, and Downstream Monitoring Stations at depths I (0.3 m), II (5 m), and III (10 m) for parameters BOD, COD, DO, NH3-N, TSS, and pH. From this study, it was found that the distribution of water quality of the Sutami Reservoir in 2015-2020 was classified as lightly polluted with the most appropriate regression model, namely the polynomial regression model. By comparing the pollution load capacity for Total-P in 2016 with the level of Total-P that enter the Sutami Reservoir, it was found that the level of Total-P that entered in the Sutami Reservoir had exceeded its proper capacity.Â Waduk Sutami merupakan waduk multiguna dengan pasokan air dari Sungai Brantas. Permasalahan yang terjadi di Sungai Brantas yaitu menurunnya kualitas air akibat tingginya buangan limbah pertanian, domestik, dan industri. Tujuan dari penelitian ini yaitu untuk menentukan sebaran karakteristik kualitas air dimusim kemarau tahun 2015-2020 dengan menggunakan Metode Indeks Pencemaran, menentukan model regresi yang paling sesuai dengan variasi nilai indeks pencemaran, serta menentukan daya tampung beban pencemaran Total-P tahun 2016 berdasarkan status trofiknya. Penelitian ini dilakukan pada Stasiun Monitoring Waduk Sutami Hulu, Tengah, dan Hilir pada kedalaman I (0.3 m), II (5 m), dan III (10 m) untuk parameter BOD, COD, DO, NH3-N, TSS dan pH. Dari penelitian ini didapatkan hasil sebaran karakteristik kualitas air Waduk Sutami tahun 2015-2020 tergolong tercemar ringan dengan model regresi yang paling sesuai yaitu model regresi polinomial. Dengan membandingkan nilai daya tampung beban pencemaran Total-P tahun 2016 dengan kadar yang masuk ke Waduk Sutami didapatkan bahwa kadar Total-P yang masuk ke Waduk Sutami telah melebihi daya tampung yang seharusnya.
A Fully Collaborative, Noteless Electronic Medical Record Designed to Minimize Information Chaos: Software Design and Feasibility Study
Authors: Steinkamp Jackson , Sharma Abhinav , Bala Wasif , Kantrowitz Jacob J 
Published: September 2021

Background
Clinicians spend large amounts of their workday using electronic medical records (EMRs). Poorly designed documentation systems contribute to the proliferation of out-of-date information, increased time spent on medical records, clinician burnout, and medical errors. Beyond software interfaces, examining the underlying paradigms and organizational structures for clinical information may provide insights into ways to improve documentation systems. In particular, our attachment to the note as the major organizational unit for storing unstructured medical data may be a cause of many of the problems with modern clinical documentation. Notes, as currently understood, systematically incentivize information duplication and information scattering, both within a single clinician’s notes over time and across multiple clinicians’ notes. Therefore, it is worthwhile to explore alternative paradigms for unstructured data organization.

Objective
The aim of this study is to demonstrate the feasibility of building an EMR that does not use notes as the core organizational unit for unstructured data and which is designed specifically to disincentivize information duplication and information scattering.

Methods
We used specific design principles to minimize the incentive for users to duplicate and scatter information. By default, the majority of a patient’s medical history remains the same over time, so users should not have to redocument that information. Clinicians on different teams or services mostly share the same medical information, so all data should be collaboratively shared across teams and services (while still allowing for disagreement and nuance). In all cases where a clinician must state that information has remained the same, they should be able to attest to the information without redocumenting it. We designed and built a web-based EMR based on these design principles.

Results
We built a medical documentation system that does not use notes and instead treats the chart as a single, dynamically updating, and fully collaborative workspace. All information is organized by clinical topic or problem. Version history functionality is used to enable granular tracking of changes over time. Our system is highly customizable to individual workflows and enables each individual user to decide which data should be structured and which should be unstructured, enabling individuals to leverage the advantages of structured templating and clinical decision support as desired without requiring programming knowledge. The system is designed to facilitate real-time, fully collaborative documentation and communication among multiple clinicians.

Conclusions
We demonstrated the feasibility of building a non–note-based, fully collaborative EMR system. Our attachment to the note as the only possible atomic unit of unstructured medical data should be reevaluated, and alternative models should be considered.
Evaluating Outcomes of a Social Media–Based Peer and Clinician-Supported Smoking Cessation Program in Preventing Smoking Relapse: Mixed Methods Case Study
Authors: Isse Naohi , Tachibana Yuki , Kinoshita Makiko , Fetters Michael D 
Published: September 2021

Background
Smoking relapse prevention after completion of a smoking cessation program is highly germane to reducing smoking rates.

Objective
The purpose of this study was to evaluate the 1-year outcomes of a social media–based and peer and clinician-supported smoking cessation program on Facebook and examine communication patterns that could support smoking cessation and identify risk of relapse.

Methods
We used a mixed methods case study evaluation approach featuring a single-case holistic design. We recruited volunteers who signed up after successful completion of a 12-week clinical smoking cessation program in a general medicine department in Japan. Participants contemporaneously accessed a closed Facebook page, and we analyzed their posts including text and emoticons. We used joint display analysis, which involved iterative structuring and restructuring construct-specific tables with both types of data to find the most effective approach for integrating the quantitative results with the qualitative results of content analysis.

Results
One successful participant and 2 relapsed participants were analyzed to explore the specific patterns of postings prior to relapse. Decisive comments about quitting smoking were common among participants, but encouraging messages for peers were more common from the successful participant. Comments seeking social support and reassurance were warning signs of relapse. Conflicted comments also may be a warning sign of relapse risk.

Conclusions
These findings based on a mixed methods case study of a social media platform supporting smoking cessation could be used to guide messaging in other online social networking service communities after a smoking cessation program to help reduce smoking relapse.

Trial Registration
UMIN Clinical Trials Registry UMIN000031172; https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000035595
A Neural Network Approach for Understanding Patient Experiences of Chronic Obstructive Pulmonary Disease (COPD): Retrospective, Cross-sectional Study of Social Media Content
Authors: Freeman Tobe Che Benjamin , Rodriguez-Esteban Raul , Gottowik Juergen , Yang Xing , Erpenbeck Veit Johannes , Leddin Mathias 
Published: September 2021

Background
The abundance of online content contributed by patients is a rich source of insight about the lived experience of disease. Patients share disease experiences with other members of the patient and caregiver community and do so using their own lexicon of words and phrases. This lexicon and the topics that are communicated using words and phrases belonging to the lexicon help us better understand disease burden. Insights from social media may ultimately guide clinical development in ways that ensure that future treatments are fit for purpose from the patient’s perspective.

Objective
We sought insights into the patient experience of chronic obstructive pulmonary disease (COPD) by analyzing a substantial corpus of social media content. The corpus was sufficiently large to make manual review and manual coding all but impossible to perform in a consistent and systematic fashion. Advanced analytics were applied to the corpus content in the search for associations between symptoms and impacts across the entire text corpus.

Methods
We conducted a retrospective, cross-sectional study of 5663 posts sourced from open blogs and online forum posts published by COPD patients between February 2016 and August 2019. We applied a novel neural network approach to identify a lexicon of community words and phrases used by patients to describe their symptoms. We used this lexicon to explore the relationship between COPD symptoms and disease-related impacts.

Results
We identified a diverse lexicon of community words and phrases for COPD symptoms, including gasping, wheezy, mucus-y, and muck. These symptoms were mentioned in association with specific words and phrases for disease impact such as frightening, breathing discomfort, and difficulty exercising. Furthermore, we found an association between mucus hypersecretion and moderate disease severity, which distinguished mucus from the other main COPD symptoms, namely breathlessness and cough.

Conclusions
We demonstrated the potential of neural networks and advanced analytics to gain patient-focused insights about how each distinct COPD symptom contributes to the burden of chronic and acute respiratory illness. Using a neural network approach, we identified words and phrases for COPD symptoms that were specific to the patient community. Identifying patterns in the association between symptoms and impacts deepened our understanding of the patient experience of COPD. This approach can be readily applied to other disease areas.
Sensitivity Treatments for Teeth with Molar Incisor Hypomineralization: Protocol for a Randomized Controlled Trial
Authors: Mendonça Fernanda L , Regnault Fabiana Giuseppina Di Campli , Di Leone Camilla C L , Grizzo Isabella C , Bisaia Aliny , Fragelli Camila , Oliveira Thais M , Magalhães Ana C , Rios Daniela 
Published: September 2021

Background
The sensitivity of teeth with molar incisor hypomineralization (MIH) can affect children’s quality of life and is a challenging problem for dentists. Remineralizing agents such as sodium fluoride varnish seem to reduce the sensitivity of teeth with MIH, but long-term clinical trials with large samples are still needed for more evidence about its effectiveness as a desensitizing agent before its clinical recommendation.

Objective
This randomized clinical trial aims to compare three treatment interventions for teeth with MIH and hypersensitivity.

Methods
A total of 60 children aged 6-10 years presenting with at least one first permanent molar with sensitivity and no loss of enamel will be randomly assigned to three groups: the control group (sodium fluoride varnish; Duraphat, Colgate); experimental group I (4% titanium tetrafluoride varnish); and experimental group II (a coating resin containing surface prereacted glass-ionomer filler; PRG Barrier Coat, Shofu). The sodium fluoride varnish and 4% titanium tetrafluoride varnish will be applied once per week for 4 consecutive weeks and the PRG Barrier Coat resin will be applied in the first session and the application will be simulated the following 3 weeks to guarantee the blinding of the study. The primary outcome will be sensitivity level measured at different moments (before each material application, immediately after application or simulation, and 1, 2, 4, and 6 months after the last application/simulation) by one examiner using the Wong-Baker FACES Pain Rating Scale, the Schiff Cold Air Sensitivity Scale, and the FLACC (Face, Legs, Activity, Cry, Consolability) scale. As secondary outcomes, parental satisfaction and child self-reported discomfort after the treatment will be measured with a questionnaire prepared by the researcher. The data will undergo statistical analysis and the significance level will be set at 5%.

Results
The project was funded in 2018, and enrollment was completed in November 2019. The recruitment of participants is currently underway and the first results are expected to be submitted for publication in 2022.

Conclusions
If found effective in reducing the patient’s sensitivity long term, these agents can be considered as a treatment choice, and the findings will contribute to the development of a treatment protocol for teeth with sensitivity due to MIH.

Trial Registration
Brazilian Registry of Clinical Trials Universal Trial Number U1111-1237-6720; https://tinyurl.com/mr4x82k9

International Registered Report Identifier (IRRID)
DERR1-10.2196/27843
Evaluation of a Digital Handheld Hydrogen Breath Monitor to Diagnose Lactose Malabsorption: Interventional Crossover Study
Authors: Mathews Simon C , Templeton Sandy , Taylor Stephanie K , Harris Sten , Stewart Margaret , Raja Shruti M 
Published: September 2021

Background
Lactose malabsorption is a common condition that affects a broad segment of the population. Clinical diagnosis based on symptom recall can be unreliable and conventional testing can be inconvenient, requiring expensive laboratory-based equipment and conduction of the testing in a clinical setting.

Objective
The aim of this study is to assess the performance of a digital handheld hydrogen breath monitor (GIMate) in diagnosing lactose malabsorption compared to a US Food and Drug Administration (FDA)–cleared device (H2 Check) for the same indication.

Methods
An interventional crossover study was performed in adult participants with a prior confirmed diagnosis of lactose malabsorption or a suspected history of lactose intolerance.

Results
A total of 31 participants (mean age 33.9 years) were enrolled in the study. There was 100% positive percent agreement and 100% negative percent agreement between the GIMate monitor and the H2 Check. Correlation between gastrointestinal symptoms and hydrogen values was positive at 0.82 (P<.001).

Conclusions
The digital handheld GIMate breath monitor achieved equivalent diagnostic performance to that of an FDA-cleared device in the diagnosis of lactose malabsorption.

Trial Registration
ClinicalTrials.gov NCT04754724; https://clinicaltrials.gov/ct2/show/NCT04754724
La simulación computarizada, herramienta didáctica para el desarrollo de habilidades en la valoración del bienestar materno-fetal
Authors: Posada-Morales M.N. , Muñoz-Astudillo M.N. , Durán-Ospina P. , Ramírez-Moncayo D.F. 
Published: September 2021

Introducción: Las tecnologías de información y comunicación están incorporadas a la práctica docente en enfermería materno-perinatal e implican un reto permanente en generación de herramientas didácticas para facilitar el desarrollo de habilidades en la valoración del bienestar materno-fetal. Con fundamento en la teoría del aprendizaje experiencial de David Kolb y en la filosofía de principiante a experto de Patricia Benner se planteó como objetivo diseñar e implementar un simulador computarizado de fidelidad media para reforzar el aprendizaje en la interpretación del trazado toco-cardiográfico.
Desarrollo: Proyecto de desarrollo tecnológico en tres fases: 1. Conformación del equipo de diseño necesario para trabajar requerimientos funcionales y presentación del simulador, 2. Fundamentación pedagógico-didáctica disciplinar y metodológica para implementar requerimientos científico-técnicos, 3. Creación del simulador computacional con funciones de aprendizaje, evaluación para estudiantes y docentes; tutoriales, e interfaz al servidor institucional.
Se creó e implementó un simulador computacional con grado de maduración TRL6 que logró reproducir el círculo de aprendizaje consistente en: Experiencia concreta, Observación reflexiva, Conceptualización abstracta y Experimentación activa; componentes relacionados con un proceso complejo de retroalimentación permanente y repetición, hasta aprender a valorar el bienestar materno-fetal a partir de la interpretación del trazado toco-cardiográfico asociado a la situación clínica. La evaluación cualitativa de la experiencia mostró adecuada usabilidad del simulador.
Conclusiones: La simulación computarizada constituye una valiosa herramienta didáctica, un entorno de aprendizaje que logra integrar dimensiones pedagógicas, conceptuales, disciplinares y tecnológicas, pero el cual requiere la presencia del docente quien direcciona la experiencia para garantizar el aprendizaje.