bluuebunny/crossref_metadata_2025_split huggingface dataset:
Torpor na aurora
Authors: Jeudy Henri-Pierre , Ribeiro Peixoto Elane , De Araújo Ferreira Alice Maria , Vicentini Albertina 
Published: February 2022

Henri-Pierre Jeudy é sociólogo, desenvolveu sua carreira como pesquisador do Centre national de la recherche scientifique e da Maison de Sciences de l’Homme em Paris. Seus trabalhos sobre memória social e suas reflexões sobre o patrimônio cultural repercutiram entre os pesquisadores brasileiros, ensejando diálogos profícuos. Ao lado de seus trabalhos acadêmicos, Jeudy tem um percurso pela literatura, onde experimenta fusões entre sua formação teórica e suas experiências pessoais, resultando em textos-relatos como os publicados em Percorrer a cidade (2010) [Parcourir la Ville, 2002] e este, Torpor na aurora [Torpeur à l’ aurore, 2020] que ora traduzimos.

Neste pequeno texto, a morte é um centro de gravidade, em cuja órbita flutuam imagens memoriais, sensações corporais... temas sobre os quais nosso autor se debruçou. Nossa tradução continua uma parceria estabelecida há algum tempo, uma parceria intelectual selada pelos laços da amizade. Buscamos com a tradução de Torpeur à l’autore [Torpor na aurora] nos posicionarmos eticamente diante de seu autor. Não iremos aqui discutir as importantes questões sobre a tradução e seus embates teóricos. Todavia, esclarecemos que nos pautamos pelo entendimento de que as traduções são diálogos entre culturas, um movimento que implica o sair de si em direção ao outro para, depois, retornar a si modificado (BERMAN, A. 2002). Elas também se situam entre o ofício e a arte, porque não traduzimos só discursos, mas também uma forma. Com esta disposição nos dirigimos ao encontro de Henri-Pierre Jeudy.
All-in-one computation vs computational-offloading approaches: a performance evaluation of object detection strategies on android mobile devices
Authors: Rasyad Muhammad Abdullah , Dewanta Favian , Astuti Sri 
Published: February 2022

Object detection gives a computer ability to classify objects in an image or video. However, high specified devices are needed to get a good performance. To enable devices with low specifications performs better, one way is offloading the computation process from a device with a low specification to another device with better specifications. This paper investigates the performance of object detection strategies on all-in-one Android mobile phone computation versus Android mobile phone computation with computational offloading on Nvidia Jetson Nano. The experiment carries out the video surveillance from the Android mobile phone with two scenarios, all-in-one object detection computation in a single Android device and decoupled object detection computation between an Android device and an Nvidia Jetson Nano. Android applications send video input for object detection using RTSP/RTMP streaming protocol and received by Nvidia Jetson Nano which acts as an RTSP/RTMP server. Then, the output of object detection is sent back to the Android device for being displayed to the user. The results show that the android device Huawei Y7 Pro with an average FPS performance of 1.82 and an average computing speed of 552 ms significantly improves when working with the Nvidia Jetson Nano, the average FPS becomes ten and the average computing speed becomes 95 ms. It means decoupling object detection computation between an Android device and an Nvidia Jetson Nano using the system provided in this paper successfully improves the detection speed performance.
Optimization of software defects prediction in imbalanced class using a combination of resampling methods with support vector machine and logistic regression
Authors: Ustyannie Windyaning , Setyaningsih Emy , Iswahyudi Catur 
Published: February 2022

The main problem in producing high accuracy software defect prediction is if the data set has an imbalance class and dichotomous characteristics. The imbalanced class problem can be solved using a data level approach, such as resampling methods. While the problem of software defects predicting if the data set has dichotomous characteristics can be approached using the classification method. This study aimed to analyze the performance of the proposed software defect prediction method to identify the best combination of resampling methods with the appropriate classification method to provide the highest accuracy. The combination of the proposed methods first is the resampling process using oversampling, under-sampling, or hybrid methods. The second process uses the classification method, namely the Support Vector Machine (SVM) algorithm and the Logistic Regression (LR) algorithm. The proposed, tested model uses five NASA MDP data sets with the same number attributes of 37. Based on the t-test, the < = 0.0344 < 0.05 and the > = 3.1524 > 2.7765 which indicates that the combination of the proposed methods is suitable for classifying imbalanced class. The performance of the classification algorithm has also improved with the use of the resampling process. The average increase in AUC values using the resampling in the SVM algorithm is 17.19%, and the LR algorithm is at 7.26% compared to without the resampling process. Combining the three resampling methods with the SVM algorithm and the LR algorithm shows that the best combining method is the oversampling method with the SVM algorithm to software defects prediction in imbalanced class with an average accuracy value of 84.02% and AUC 91.65%.
Mechanism and Effect of Tread Swing for Lower Limbs Strength Training Device
Authors: Tamamoto Takumi , Koyanagi Ken’ichi , Kimura Yoshinori , Koyanagi Maki , Inoue Akio , Murabayashi Tomoaki , Oshima Toru , Tsukagoshi Takuya , Noda Kentaro ,   Department of Intelligent Robotics, Toyama Prefectural University 5180 Kurokawa, Imizu, Toyama 939-0398, Japan,   Department of Rehabilitation, Osaka University Hospital 2-15 Yamadaoka, Suita, Osaka 565-0871, Japan,   Department of Physical Therapy, Osaka Electro-Communication University 1130-70 Kiyotaki, Shijonawate, Osaka 575-0063, Japan,   ER-tec Co. 2-1-31 Sakuragaoka, Minoh, Osaka 562-0046, Japan
Published: February 2022

The aim of this study was to propose a tread swing mechanism for lower-limb strength training devices and to confirm its effects.	In the standing position and for training the lower limbs, if the tread-surface angle is inappropriate, the posture of the knee joints gets affected, and knee adduction/valgus moments, which result in knee stress, get generated.	The target training exercises are the front-back leg scissors and open-close leg triangle exercises.	With regard to the swing of the tread, it is necessary to realize a pitch/yaw rotation and a roll/yaw rotation for the former and the latter exercises, respectively.	As a result, knee joint stress can be reduced by moving the center of pressure (COP).	The proposed mechanism has a further differential mechanism that utilizes the difference between the pulley diameters.	The translational movement force of the tread is transmitted as the torque of the swing motion for the pitch, roll, and yaw through the effects of a differential mechanism.	The rate of the swing angle can be changed by adjusting the pulley diameter.	As a result of evaluating the effect of exercises using a manufactured device, it was confirmed that the tread performed a predetermined swing motion.	It was also confirmed that the COP position changed. Therefore, it is expected that knee joint stress will reduce.	Rehabilitation and strength training that result in small knee joint stresses and generate large muscle load are in great demand for people experiencing knee joint failure.
PENILAIAN E-MODUL PENGAYAAN BUSANA TRADISIONAL INDONESIA
Authors: Oktavia Cahyo Ningrum Rizka , Wesnina Wesnina , Sesnawati Yeni 
Published: February 2022

Penelitian ini bertujuan untuk membuat dan menilai bahan ajar berupa e-modul pengayaan busana tradisional bungkus Indonesia. Penilaian dilakukan oleh 2 panelis Ahli Materi dan 2 Ahli Media dengan bidang terkait, dilaksanakan pada semester ganjil tahun 2021/2022. Metode yang digunakan dalam penelitian ini adalah eksperimen dengan pendekatan pre-eksperimental desain one-shot case study, teknik analisis data Kuantitatif Deskriptif. Menggunakan variabel tunggal yaitu variabel e-modul pengayaan busana tradisional bungkus Indonesia. E-modul ditinjau dari delapan aspek sebagai indikator yaitu dari penilaian ahli materi: aspek materi, aspek penyajian, aspek kebahasaan; dan penilaian ahli media: pembelajaran sendiri (self intructional), satu kesatuan (self contained), berdiri sendiri (stand alone), menyesuaikan diri (adaptive), dan bersahabat/akrab (user friendly). Menggunakan instrumen kuesioner/angket tertutup-terbuka (campuran) dengan penilaian panelis ahli sebagai data pendukung dalam teknik pengumpulan data. Hasil penelitian berdasarkan angket penilaian oleh ahli materi didapatkan presentase sebesar 95,98%, sedangkan oleh ahli media didapatkan presentase sebesar 85%. Seacara keseluruhan dari kedelapan aspek penilaian, e-modul pengayaan busana tradisional bungkus Indonesia memperoleh persentase rata-rata sebesar 91,4% dari hasil yang diharapkan (100%) dan berada pada kategori Sangat Baik (SB). Hal ini menunjukan bahwa e-modul dapat dikatakan telah memenuhi persyaratan sebagai bahan ajar berdasarkan hasil penilaian yang didapatkan dari keempat panelis ahli.
Formative Provider Testing of a New Encounter Decision Aid for Smoking Cessation: Questionnaire Study
Authors: Hollanda De Sa Neto Herul , Habfast-Robertson Ines , Hempel-Bruder Christina , Durand Marie-Anne , Jacot-Sadowski Isabelle , Khazaal Yasser , Berlin Ivan , Selby Kevin 
Published: February 2022

Background
Smoking cessation is an essential part of preventing and reducing the risk of smoking-associated morbidity and mortality. However, there is often little time to discuss smoking cessation in primary care. Decision aids (DAs) designed for clinic visits (encounter DAs) need to be clear, short, and concise to optimize therapeutic education, increase interaction, and improve the therapeutic alliance. Such a DA for smoking cessation could potentially improve counseling and increase the use of pharmacological treatments.

Objective
We aimed to collect feedback on an electronic encounter DA that facilitates physician-patient interaction and shared decision-making for smoking cessation in primary care.

Methods
We developed an electronic, encounter DA (howtoquit.ch) from a paper version created by our team in 2017 following user-centered design principles. The DA is a 1-page interactive website presenting and comparing medications for tobacco cessation and electronic cigarettes. Each smoking cessation medication has a drop down menu that presents additional information, a video demonstration, and prescribing information for physicians. To test the DA, we submitted a questionnaire to approximately 20 general practitioner residents of an academic general medicine department, 5 general practitioners, and 6 experts in the field of smoking cessation. The questionnaire consisted of 4 multiple-choice and 2 free-text questions assessing the usability or acceptability of the DA, the acquisition of new knowledge for practitioners, the perceived utility in supporting shared decision-making, perceived strengths and weaknesses, and whether the participants would recommend the tool to other clinicians.

Results
In all, 6 residents, 3 general practitioners in private practice, and 2 tobacco cessation experts completed the questionnaire (N=11), with 4 additional experts providing open-text feedback. On the 11 questionnaires, the DA was rated as practical and intuitive (mean 4.6/5), and providers felt it supported shared decision-making (mean 4.4/5), as comparisons were readily possible. Inclusion of explanatory videos was seen as a bonus. Several changes were suggested, like grouping together similar medications and adding a landing page to briefly explain the site. Changes were implemented according to end-user comments.

Conclusions
The overall assessment of the encounter DA by a group of physicians and experts was positive. The ultimate objective is to have the tool deployed and easily accessible for all to use.
Assessment of a Mobile Health iPhone App for Semiautomated Self-management of Chronic Recurrent Medical Conditions Using an N-of-1 Trial Framework: Feasibility Pilot Study
Authors: Mande Archana , Moore Susan L , Banaei-Kashani Farnoush , Echalier Benjamin , Bull Sheana , Rosenberg Michael A 
Published: February 2022

Background
Management of chronic recurrent medical conditions (CRMCs), such as migraine headaches, chronic pain, and anxiety/depression, remains a major challenge for modern providers. Our team has developed an edge-based, semiautomated mobile health (mHealth) technology called iMTracker that employs the N-of-1 trial approach to allow self-management of CRMCs.

Objective
This study examines the patterns of adoption, identifies CRMCs that users selected for self-application, and explores barriers to use of the iMTracker app.

Methods
This is a feasibility pilot study with internet-based recruitment that ran from May 15, 2019, to December 23, 2020. We recruited 180 patients to pilot test the iMTracker app for user-selected CRMCs for a 3-month period. Patients were administered surveys before and after the study.

Results
We found reasonable usage rates: a total of 73/103 (70.9%) patients who were not lost to follow-up reported the full 3-month use of the app. Most users chose to use the iMTracker app to self-manage chronic pain (other than headaches; 80/212, 37.7%), followed by headaches in 36/212 (17.0%) and mental health (anxiety and depression) in 27/212 (12.8%). The recurrence rate of CRMCs was at least weekly in over 93% (169/180) of patients, with 36.1% (65/180) of CRMCs recurring multiple times in a day, 41.7% (75/180) daily, and 16.1% (29/180) weekly. We found that the main barriers to use were the design and technical function of the app, but that use of the app resulted in an improvement in confidence in the efficiency and safety/privacy of this approach.

Conclusions
The iMTracker app provides a feasible platform for the N-of-1 trial approach to self-management of CRMCs, although internet-based recruitment provided limited follow-up, suggesting that in-person evaluation may be needed. The rate of CRMC recurrence was high enough to allow the N-of-1 trial assessment for most traits.
Accuracy of Wearable Transdermal Alcohol Sensors: Systematic Review
Authors: Brobbin Eileen , Deluca Paolo , Hemrage Sofia , Drummond Colin 
Published: February 2022

Background
There are a range of wearable transdermal alcohol sensors that are available and are being developed. These devices have the potential to monitor alcohol consumption continuously over extended periods in an objective manner, overcoming some of the limitations of other alcohol measurement methods (blood, breath, and urine).

Objective
The objective of our systematic review was to assess wearable transdermal alcohol sensor accuracy.

Methods
A systematic search of the CINAHL, Embase, Google Scholar, MEDLINE, PsycINFO, PubMed, and Scopus bibliographic databases was conducted in February 2021. In total, 2 team members (EB and SH) independently screened studies for inclusion, extracted data, and assessed the risk of bias. The methodological quality of each study was appraised using the Mixed Methods Appraisal Tool. The primary outcome was transdermal alcohol sensor accuracy. The data were presented as a narrative synthesis.

Results
We identified and analyzed 32 studies. Study designs included laboratory, ambulatory, and mixed designs, as well as randomized controlled trials; the length of time for which the device was worn ranged from days to weeks; and the analyzed sample sizes ranged from 1 to 250. The results for transdermal alcohol concentration data from various transdermal alcohol sensors were generally found to positively correlate with breath alcohol concentration, blood alcohol concentration, and self-report (moderate to large correlations). However, there were some discrepancies between study reports; for example, WrisTAS sensitivity ranged from 24% to 85.6%, and specificity ranged from 67.5% to 92.94%. Higher malfunctions were reported with the BACtrack prototype (16%-38%) and WrisTAS (8%) than with SCRAM (2%); however, the former devices also reported a reduced time lag for peak transdermal alcohol concentration values when compared with SCRAM. It was also found that many companies were developing new models of wearable transdermal alcohol sensors.

Conclusions
As shown, there is a lack of consistency in the studies on wearable transdermal alcohol sensor accuracy regarding study procedures and analyses of findings, thus making it difficult to draw direct comparisons between them. This needs to be considered in future research, and there needs to be an increase in studies directly comparing different transdermal alcohol sensors. There is also a lack of research investigating the accuracy of transdermal alcohol sensors as a tool for monitoring alcohol consumption in clinical populations and use over extended periods. Although there is some preliminary evidence suggesting the accuracy of these devices, this needs to be further investigated in clinical populations.

Trial Registration
PROSPERO CRD42021231027; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=231027
Objective Measurement of Hyperactivity Using Mobile Sensing and Machine Learning: Pilot Study
Authors: Lindhiem Oliver , Goel Mayank , Shaaban Sam , Mak Kristie J , Chikersal Prerna , Feldman Jamie , Harris Jordan L 
Published: February 2022

Background
Although hyperactivity is a core symptom of attention-deficit/hyperactivity disorder (ADHD), there are no objective measures that are widely used in clinical settings.

Objective
We describe the development of a smartwatch app to measure hyperactivity in school-age children. The LemurDx prototype is a software system for smartwatches that uses wearable sensor technology and machine learning to measure hyperactivity. The goal is to differentiate children with ADHD combined presentation (a combination of inattentive and hyperactive/impulsive presentations) or predominantly hyperactive/impulsive presentation from children with typical levels of activity.

Methods
In this pilot study, we recruited 30 children, aged 6 to 11 years, to wear a smartwatch with the LemurDx app for 2 days. Parents also provided activity labels for 30-minute intervals to help train the algorithm. Half of the participants had ADHD combined presentation or predominantly hyperactive/impulsive presentation (n=15), and half were in the healthy control group (n=15).

Results
The results indicated high usability scores and an overall diagnostic accuracy of 0.89 (sensitivity=0.93; specificity=0.86) when the motion sensor output was paired with the activity labels.

Conclusions
State-of-the-art sensors and machine learning may provide a promising avenue for the objective measurement of hyperactivity.
Pengaruh penyesuaian diri terhadap kepuasan pernikahan pada individu yang menikah melalui proses ta’aruf
Authors: Abbas Muhammad 
Published: February 2022

Satisfaction in a marriage is very important because it is a part of appraisement and evaluation, whether the marriage can to proceed or have many conflict. adjusements of a person will be the basis for the achievement of marital satisfaction, this also happens to a person who marriage trough by ta’aruf process. The research aims to investigate the influence of self-adjusment on marital satisfaction to person marriage trough by ta’aruf process. The type of research is by quantitative with 118 subjects who marriage trough by ta’aruf process. The subjects were taking by snowball sampling technique. From the retrival of data that result of the coeffition of determination or r2 = 0,268 with a significant value is 0,000 so that the self-adjustment on marital satisfaction to person who marriage trough by ta’aruf process gives a small influence with a value 26,8%.
PKM PEMANFAATAN LIMBAH TANAMAN PANDAN WANGI DI DESA CEPAKA, KEDIRI, TABANAN
Authors: Permatasari Anak Agung Ayu Putri , Sari Ni Kadek Yunita , Puniawan I Made Endra 
Published: February 2022

Tanaman pandan wangi tumbuh subur di negara beriklim tropis, yang biasanya dimanfaatkan sebagai campuran bahan masakan untuk membuatnya wangi dan enak. Daun pandan wangi mengandung zat alkaloida, polifenol, flavonoida, tannin, saponin dan juga zat warna alami. Senyawa tersebut dapat berperan sebagai anti bakteri, mengontrol kadar gula darah, mencegah kanker, mengatasi masalah gigi dan gusi, mengatasi kram, mengurangi rambut rontok dan masalah sakit kepala.. Salah satu perkebunan pandan wangi yang terdapat di Bali yaitu UD. Melonila, yang terletak di Jalan Raya Munggu Desa Cepaka, Tabanan Bali. Hasil perkebunan pandan wangi biasanya dipasarkan ke pasar tradisional. Setelah dipanen tanaman ini harus segera didistribusikan agar tetap segar. Sedangkan tanaman yang merupakan sisa hasil panen memiliki kualitas yang hampir sama, tumbuh dengan cepat akan tetapi tidak mudah untuk dipasarkan. Oleh karena itu banyaknya hasil panen dari tanaman pandan wangi ini yang selalu tumbuh dengan cepat dan mudah menjadi permasalahan yang dialami oleh mitra, sehingga mitra ingin berinovasi mengembangkan produk dari limbah tanaman kemangi menjadi desinfektan alami. Oleh karena itu dilakukan pengembangan terhadap produk dengan menentukan merk dagang dan desain kemasan serta pemasaran produk yang dilakukan melalui sosial media. Berdasarkan hasil PKM didapatkan bahwa kelompok tani mengalami rata-rata peningkatan pengetahuan mengenai pemanfaatan limbah pandan wangi sebesar 83%. Kata Kunci : Desa Cepaka, desinfektan alami, inovasi, pemasaran
PELATIHAN DASAR PENGGUNAAN APLIKASI MICROSOFT OFFICE DAN PAINT DI SEKOLAH DASAR NEGERI 1 UMEANYAR
Authors: Indrawan Gede Beny , Sari Gusti Ayu Gita Mulya , Putri Kadek Utari Darma , Handayani Putri Dwi Prima , Dewi Luh Joni Erawati 
Published: February 2022

AbstractThis community service (P2M) activity was carried out purposefully to provides insight into the importance of technology, enhanced basic skills of operating computers, and enhanced skills in using the fundamental computer applications, such as Paint, Microsoft Office Word dan Microsoft Office Power Point for 4th, 5th, 6th grade student from Public Elementary School 1 Umeanyar. This activities was carried out by lectures method and discussion between the student and the speaker, followed by practice using computers to test student understanding about the material that has been presented before. The results ofthis activity are student understanding of the basics computer operation and skills in using fundamental computer applications, including the use of the Microsoft Power Point application to create interactive media products and the use of Microsoft Word to create documents, which are very useful as a provision for preparing themselves for higher education levels. Keywords : Gen A, ideal conditions, training, technology
PENYEGARAN MATERI AJAR PECAHAN DAN PENDAMPINGAN PENGGUNAAN GEOGEBRA BAGI GURU SD DI DESA GUBUG TABANAN
Authors: Mahayukti Gst Ayu , Sukajaya I Nyoman , Sudiarta I Gst Putu 
Published: February 2022

Tujuan dari kegiatan pengabdian ini adalah untuk meningkatkan penguasaan guru dalam pembelajaran pecahan dan penggunaan Geogebra. Peserta pelatihan masing- masing diwakili 3 orang guru dari masing-masing SD di desa Gubug Tabanan dan 1 orang pengawas. Jumlah peserta pelatihan yang hadir adalah 16 orang terdiri dari guru sebanyak 15 orang dan 1 orang kepala sekolah. Kegiatan pengabdian ini dilakukan melalui 2 kegiatan yakni pelatihan dan pendampingan. Pelatihan dilaksanakan melalui pemaparan materi pecahan dan Geogebra oleh narasumber, diskusi/tanya jawab, demontrasi penggunaan Geogebra dan pendampingan. Evaluasi dilakukan dengan tes dan proses. Hasil dari pelatihan dan pendampingani menunjukkan bahwa penguasaan materi pecahan, meningkat jika dibandingkan rata-rata skor pretest dan posttest. Peserta juga sangat antusias diskusi maupun mengajukan pertanyaan dan memberikan tanggapan. Respon guru yang dijaring melalui angket tergolong positif. Dengan demikian kegiatan pengabdian ini tergolong berhasil.