bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical Needs Discovery in Pediatric Urology: Utilizing the Biodesign Process
Authors: Luff Marie K. , Zarrin David A. , Zhou Li , Sahoo Astha , Desai Sophia , Iyer Neha , Starr Savannah L. , Sturm Renea M. 
Published: June 2022

IntroductionBiodesign innovation processes provide a needs-driven approach to medical innovation, empowering both medical trainees and health care providers to take action in addressing the shortcomings of health care encountered in daily clinical practice. Our objective was to uncover the most pressing unmet clinical needs within a specific clinical setting, pediatric urology at UCLA.MethodsThe biodesign process involves a sequential process of identifying, validating, and prioritizing unmet needs, followed by solution landscaping and prototyping for the most promising needs. Opportunities for medical innovation were first identified through six weeks of clinical immersion, which involved both clinical observation and interview-based insight extraction. Interviews were conducted with 35 stakeholders, including patients, patient families, and health care staff by a medical student participant in Sling Health LA, a program which provides innovation training and incubation for ideas. Follow-up interviews with key stakeholders were performed to validate needs. Priority scores were then assigned to each validated need using a series of pre-determined and weighted criteria. Finally, genealogy maps were constructed and used to guide subsequent solution landscaping for the top three needs.Results33 unmet clinical needs were identified throughout the clinical immersion phase, 27 of which were validated. Following coarse needs prioritization, five needs emerged as top contenders. After fine needs prioritization, three top needs were selected. The first top need arising from this ethnographic study was that “parents and children need a faster (&lt;3 months to resolution) treatment option for resolving nocturnal enuresis that also prevents incontinence during the treatment phase”. Other discovered top needs included “parents and physicians need an accurate method to monitor retractile testes at-home and in the outpatient setting to reduce unnecessary surgical referrals and procedures”, and “a hospital system need to reduce complications and readmissions associated with post-operative catheter obstruction after urologic procedures”. A preliminary solution concept was generated for the top clinical need, nocturnal enuresis treatment.ConclusionBiodesign processes offer a standardized method for identifying pressing unmet clinical needs and informing solution development. The top three needs discovered within pediatric urology through this ethnographic investigation represent promising innovation targets for further solution prototyping and design.
The Relationship Between Systemic Immune Inflammatory Index and Prognosis of Patients With Non-Small Cell Lung Cancer: A Meta-Analysis and Systematic Review
Authors: Huang Wei , Luo Jiayu , Wen Jianbo , Jiang Mingjun 
Published: June 2022

BackgroundThe relationship between systemic immune inflammation index (SII) and the prognosis of cancer has always been a subject of intense interest. However, the prognostic value of SII in non-small cell lung cancer (NSCLC) patients remains a controversial topic.ObjectiveTo evaluate the effect of SII index on prognosis of NSCLC.MethodsWe conducted a comprehensive search of PubMed, EMBASE, and the Cochrane Library databases to determine correlation between SII index, clinicopathological features, overall survival (OS), and progression-free survival (PFS). Odds ratio (ORs) and 95% confidence interval (CIs) were used to assess the connection between SII and clinicopathological parameters, and HRs and 95% CIs were used to assess the connection between SII and survival.ResultsSeventeen studies with 8,877 cases were included in the analysis. Compared with NSCLC patients with low SII level, patients with NSCLC with high SII level had a poor OS (HR = 1.75, 95% CI, 1.50–2.00; P &lt; 0.001) and had a poor PFS (HR = 1.61, 95% CI, 1.25–1.96; P &lt; 0.001). In addition, patients with higher pathological stage (II–III) had higher SII levels (OR = 2.32, 95% CI, 2.06–2.62; P &lt; 0.001).ConclusionsThe SII index is a promising prognostic biomarker for NSCLC and may help clinicians choose appropriate NSCLC treatments.
Clinical Application of Indocyanine Green Fluorescence Imaging in the Resection of Hepatoblastoma: A Single Institution's Experiences
Authors: Shen Yuanchao , Zheng Manna , Li Jiahao , Tan Tianbao , Yang Jiliang , Pan Jing , Hu Chao , Zou Yan , Yang Tianyou 
Published: June 2022

PurposeIndocyanine green (ICG) fluorescence imaging is becoming increasingly popular in adult oncologic surgery, but remains relatively uncommon in pediatric oncologic surgery. Herein, we report our experience with the use of ICG fluorescence imaging in the resection of hepatoblastoma (HB).Patients and MethodsHepatoblastoma patients who underwent liver resection with ICG fluorescence imaging between January 2020 and March 2021 were included in this study. Patients’ demographic data, clinical information, and detailed information of the use of ICG fluorescence imaging were retrospectively reviewed.ResultsSixteen HB patients underwent ICG fluorescence imaging-guided liver resection. There were 11 males and 5 females, age ranged from 8 to 134 months. The initial alpha-fetoprotein ranged from 436 to 528,390 ng/ml. There were one pre-treatment extent of tumor stage I, nine stage II, four stage III, and two stage IV. Three patients underwent up-front hepatectomy, 13 patients received 2–8 cycles of platinum-based neoadjuvant chemotherapy and underwent delayed hepatectomy. ICG (0.5 mg/kg) was given intravenously 48–72 h prior to surgery. The operative time ranged from 180 to 400 min. All patients achieved negative surgical margins. In two patients, ICG identify additional lesions which were not detected in preoperative imaging.ConclusionICG fluorescence imaging is useful in the resection of HB and may detect small lesions not shown in preoperative imaging.
Clinical Evaluation of on-Table Extubation in Patients Aged Over 60 Years Undergoing Minimally Invasive Mitral or Aortic Valve Replacement Surgery
Authors: Ge Yunfen , Chen Yue , Hu Zhibin , Mao Hui , Xu Qiong , Wu Qing 
Published: June 2022

AimsTo evaluate the clinical efficiency of on-table extubation (OTE) versus delayed extubation in patients aged over 60 years that underwent minimally invasive mitral or aortic valve replacement surgery and evaluate the factors associated with successful OTE implementation.MaterialsPatients over 60 years with mitral or aortic valve disease who received minimally invasive mitral or aortic valve replacement surgery from October 2020 to October 2021 were selected retrospectively. We divided patients into the on-table extubated (OTE) group (n = 71) and the delayed extubation (DE) group (n = 22). Preoperative, intraoperative, and postoperative clinical variables were compared between the two groups.ResultsPatients in the DE group underwent longer surgery time, longer aortic occlusion clamping time and longer cardiopulmonary bypass time than those in the OTE group(217.48 ± 27.83 vs 275.91 ± 77.22, p = 0.002; 76.49 ± 16.00 vs 126.55 ± 54.85, p = 0.001; 112.87 ± 18.91 vs 160.77 ± 52.17, p = 0.001). Patients in the OTE group had shorter postoperative mechanical ventilation time (min), shorter ICU time, shorter postoperative hospital length of stay and lower total cost and medication cost (p &lt; 0.05). The AUC for aortic occlusion clamping time was 0.81 (p &lt; 0.01), making it the most significant predictor of on-table extubation success.ConclusionsOn-table extubation following mitral or aortic valve cardiac surgery was associated with a superior clinical outcome and high cost-effectiveness.
PENGGUNAAN MEDIA GOOGLE SITE DALAM PEMBELAJARAN UNTUK MENINGKATKAN EFEKTIFITAS BELAJAR PESERTA DIDIK SEKOLAH DASAR
Authors: Pubian Yushtika Muliana , Herpratiwi Herpratiwi 
Published: June 2022

Metode pembelajaran konvensional saat ini dirasakan sudah tidak sesuai lagi dengan perubahan era revolusi industi, metode pembelajaran sejatinya merupakan cara penyampaian pendidik kepada peserta didik dalam proses pembelajaran di dalam kelas, Pembelajaran melalui aplikasi merupakan inovasi pendidikan untuk menjawab tantangan akan ketersediaan sumber belajar yang variatif. Salah satu jenis media yang tepat dalam proses pembuatan bahan ajar yaitu Aplikasi Google Site. Tujuan penelitian ini dilakukan untuk mengetahui pengembangan media Google Site dalam pembelajaran untuk meningkatkan efektivitas belajar peserta didik sekolah dasar. Metode yang digunakan pada penelitian ini menggunakan metode SLR (Systematic Literature Review) pengumpulan data dilakukan dengan menggunakan dokumentasi dan mereview semua artikel yang berkaitan dengan Google Site. Berdasarkan hasil penelitian yang telah dilaksanakan pada tabel hasil penelitian, menjelaskan bahwa google site dapat digunakan sebagai media atau metode pembelajaran di dalam kelas terutama di abad 21 dan revolusi industri teknologi, dengan hadirnya media atau metode google site diharapkan peserta didik lebih tertarik mengikuti proses pembelajaran pada tingkat sekolah dasar.
Sistem Informasi Distribusi Rekam Medis ( Studi Kasus : RSAU Lanud Sulaiman )
Authors: Ansori Syifa , Sari Irda , Sufyana Candra 
Published: June 2022

Sulaiman Air Force Base Hospital is a hospital that organizes service activities for members of the Indonesian Air Force and family members, as well as serving the general public, especially in terms of health. The medical record distribution information system is needed to support services to patients and assist the process of searching and monitoring medical records out and back from the patient's destination polyclinic. The distribution of medical records at the Sulaiman Air Base Hospital has not been computerized in terms of recording and reporting. Thus, the purpose of this research is to design a medical record distribution information system that facilitates the process of recording reports and searching for medical records as well as monitoring the distribution of medical records. The research method using a qualitative descriptive approach, as well as data collection based on field observation techniques, also uses library research techniques by analyzing several references. The system development method uses the waterfall, as well as the stages of system design with Data Flow Diagrams programming language VB.NET . It is hoped that the medical record distribution information system designed in this study can help the medical record distribution process so that it can run well and efficiently.
Keywords: DFD, Distribution, Medical Records, Information System
The ferroelectric phase transition in a 500 nm sized single particle of BaTiO3 tracked by coherent X-ray diffraction
Authors: Oshime Norihiro , Ohwada Kenji , Machida Akihiko , Fukushima Nagise , Ueno Shintaro , Fujii Ichiro , Wada Satoshi , Sugawara Kento , Shimada Ayumu , Ueno Tetsuro , Watanuki Tetsu , Ishii Kenji , Toyokawa Hidenori , Momma Koichi , Kim Sangwook , Tsukada Shinya , Kuroiwa Yoshihiro 
Published: June 2022

Abstract
The shapes and sizes of grains influence the anisotropy of crystal structures and the configuration of ferroelectric domains. In order to better understand these effects, we introduce a method to observe a ferroelectric phase transition in a single ferroelectric particle of sub-micrometer size. The phase transition was observed by cooling the sample through its Curie temperature, and studying the pattern variations of Bragg coherent X-ray diffraction from a single particle of 500 nm sized BaTiO3. A change from a single 200 peak (cubic phase) to both 200 and 002 peaks (tetragonal phase); was seen, with fringes connecting them like a bridge. The pattern from the BaTiO3 particle in the cubic phase was also imaged using Bragg coherent diffraction imaging. The apparent strain distribution caused by dislocation internal to the BaTiO3 crystal was visible in the reconstructed image.
Materials informatics for dielectric loss tangent in the millimeter wave region
Authors: Oba Yusuke , Umeda Yuji , Ishii Daiki 
Published: June 2022

Abstract
For the prediction of the dielectric loss tangent in the millimeter wave region, machine-learning approaches based on the first-principles calculations were carried out. The data set was prepared by the first-principles calculations considering the anharmonicity of lattice vibrations. The two-phonon density of states, which is correlated with the dielectric loss tangent, was calculated and confirmed the connection with the difference in crystal structures. Machine-learning models to predict the dielectric loss tangent were created considering both atomic compositions and crystal structures as descriptors. In addition, transfer-learning models, in which a pretrained model for the two-phonon density of states was used as the new descriptor, were compared with models from scratch. The transfer-learning model showed 25% higher prediction accuracy than the scratch model.
Young’s modulus and ferroelectric property of BaTiO3 films formed by aerosol deposition in consideration of residual stress and film thickness
Authors: Maruyama Kohei , Kawakami Yoshihiro , Narita Fumio 
Published: June 2022

Abstract
Film thickening by aerosol deposition (AD) is effective for the fabrication of self-sustained piezoelectric energy harvesting devices. Here we investigated the properties, microstructure, and residual stresses of BaTiO3 films deposited by AD at different film thicknesses. The Young’s modulus measured by the nanoindentation test showed no thickness dependence; however, it increased from approximately 130– 160 GPa with annealing. Ferroelectric hysteresis curves showed that the increase in film thickness facilitated polarization switching. The microstructure of the films showed no significant changes with the film thickness, while the results of X-ray diffraction and finite element analysis of thermal stress showed that the residual stress after annealing depended on the film thickness. The energy harvesting performance of the BaTiO3 films deposited by AD may increase owing to the residual stress, rather than the increase in the film thickness.
ARTIFICIAL NEURAL NETWORK METHODS FOR BOUNDARY INTEGRAL EQUATIONS
Authors: Zhang Han , Anitescu Cosmin , BORDAS Stéphane , Rabczuk Timon , Atroshchenko Elena 
Published: June 2022

<p>In this work, we present a deep neural network method for solving two-dimensional boundary value problems (BVPs) formulated in terms of boundary integral equations (BIEs). It is assumed that the boundary is parameterized by Non-Uniform Rational B-Splines (NURBS), commonly used in CAD, and the solution is approximated by a deep neural network with unknown weights and biases. The network is trained to minimize the loss function, which is formulated as an error in the BIE at a set of collocation points. </p>
<p>The method inherits main advantages of boundary-type methods over the domain type methods: (a) the problem is solved on the boundary only, hence it requires much smaller number of collocation points, leading to significant savings in the computational cost; (b) for unbounded domains, asymptotic behavior of the solution at infinity is taken into account automatically and BIE is formulated on the inner boundary only; (c) high precision due to the exact NURBS-parameterization of the boundary, tight link to CAD and the ability to treat irregular boundaries (cracks, sharp corners, etc). Standard approaches to integration and removal of kernel singularity, used in Boundary Element Methods (BEM), are adopted. </p>
<p>Application of the method to three benchmark problems for the Laplace equation is demonstrated. In all cases, a good agreement with the analytical solutions is achieved. </p>
Real-Time Echocardiography Guidance for Optimized Apical Standard Views
Authors: Pasdeloup David , Olaisen Sindre Hellum , Østvik Andreas , Sæbø Sigbjørn , Pettersen Håkon Neergaard , Holte Espen , Grenne Bjørnar , Stølen Stian Bergseng , Smistad Erik , Aase Svein Arne , Dalen Håvard , Lovstakken Lasse 
Published: June 2022

<p>Measurements of cardiac function such as left ventricular ejection fraction and myocardial strain are typically based on 2D ultrasound imaging. The reliability of these measurements strongly depends on the correct pose of the transducer such that the 2D imaging plane properly aligns with the heart for standard measurement views, and is thus dependent on the operator's skills. In this work, we propose a deep learning-based tool that provides real-time feedback on how to move the transducer to obtain the required views. We believe this method can aid less-experienced users to acquire recordings of better quality for measurements and diagnosis, and to improve standardization of images for more experienced users. Training data was generated by slicing 3D ultrasound volumes, which permits to simulate movements of a transducer and 2D imaging plane. Each slice was labelled with an anatomical reference obtained through a semi-automatic annotation procedure, which allowed us to generate substantial amounts of training data. The method was validated and tested on 2D images from several datasets representative of a prospective clinical setting. We proposed a new metric to score the correctness of the transducer movement feedback according to several given criteria, and achieved a success rate of 75% for all models and 95% for the rotational movement. A real-time prototype application was developed based on data streaming from a clinical ultrasound system, which demonstrated the ability of the method to robustly predict the apical rotation and tilt of the 2D ultrasound image plane relative to the heart. </p>
A shift in norms of gravity and space-time encompassing the complex Newman-Penrose tetrads of general relativity incorporating the constraints of humanity related to extraterrestrials
Authors: Bhattacharjee Deep 
Published: June 2022

<p> </p>
<p>Without violating the 4 natural laws of physics viz. cosmic censorship hypothesis, chronology protection conjecture, special and general theory of relativity, a theory has been established in this paper which would allow the phenomena of explaining the UFOs seen from Earth, International Space Station, Aerial Aircraft in such a way that, mysteries can be solved on how those UFOs can come to Earth either by crossing Mega Parsec (10 6 *3.28 Light Years), Giga Parsec (10 9 *3.28 Light Years) or from the faraway future Earth. Emphasis has been given to mathematical models to solve these mysteries without violating the aforesaid models of physical laws. Time has been treated as a physical dimension parameterized by measurements like other 3 D's. This model aims to reduce space and time using a completely new idea called "Temporal Choke Point" and its associated mathematics by completely relying on known fundamental theories but without violating them in any proper ways possible. And apart from that, a detailed analysis has been done on 'gravity' from the perspectives of string theories and thereby concluding some interesting Phenomenology happening at the micro perspective of the "Temporal Choke Point ξ³ᴰ.</p>
Deixis In Story Snow White And Seven Dwarfs
Authors: Sri Rezeki Dewi , Taufika Anandra Cinta , Sukma Dara Emely , Cendrakasih Ruri , El Azhar Yayank 
Published: June 2022

The research method uses qualitative research in collecting and selecting data for research. Data based on Levinson's theory analysis `The object of this research is utterances that contain deixis in the story of Snow White. The research question of this investigation is what kind of deixis is found in the film Snow White and how is deixis used in the film. Deixis is one of the linguistics forms in pragmatics that can help the reader or speaker to understand the meaning of an utterance. In studying deixis means learning one aspect of natural language to require the reference of who are the speaker and the hearer, the place and the time of speaking in which the deictic word used. Many language phenomena use deixis, such as poem, lyric, film, novel, talk show, and also advertisement. In our daily life, we always find advertisement around us, such as in magazine, newspaper, internet, radio, or television.Based on the findings, it us conclude that there are 5 types of deixis there are person,deixis, place deixis, time deixis, discourse deixis and speech deixis.
Methodological approach to the comprehensive assessment of the functioning of the industrial sector at the meso level
Authors: Ishchuk Svitlana O. , Sozanskyy Lyubomyr Y. 
Published: June 2022

Industry forms the basis for the world economy and national economies, in particular, as it provides intermediate and final consumption products to all other sectors (manufacturing, finance, services) and the population. The article aims to develop a methodology for a comprehensive assessment of the industrial sector efficiency at the meso level and its testing on the example of Polish regions. The authors’ methodology includes three main stages of research. The first stage involves calculating the level of industrial economy and innovation of the country and its regions in terms of sales of industrial products, the cost of innovation of industrial enterprises, and net income from the sale of innovative products. The second stage includes an integrated assessment of the industrial sector’s efficiency. For each of the four selected indicators of efficiency (investment, labor, innovation, and profitability), the taxonomic indicators defined as the arithmetic mean of the three standardized indicators are calculated. In the third stage, the regions are ranked according to the values of taxonomic indicators of the current development state and dynamics, as well as the final integrated indicator of the industry efficiency based on the k-average method. The results of the assessments of the industrial sector of the Polish economy according to the authors’ methodology allow distinguishing three groups of regions by type of industry: the first group – traditionally industrial provinces with a high level of the industrial economy but with signs of reduced capacity and increasing product innovation (Mazovia, Lower Silesia, Silesia, Greater Poland, Lesser Poland, Lodz, Pomerania); the second group – voivodships, which occupy a low share in country’s industry, and are characterized by medium or low values of partial indicators of the current state of labor activity but higher indicators of innovation activity and the strongest dynamics (Subcarpathia, Podlaskia, Opole, Lubusz, Lublin); the third group – voivodships, which are characterized by the non-industrial type of economy and mostly low values of industrial activity (Warmia-Masuria, Swietokrzyskie, West Pomerania, Kuyavia-Pomerania).