bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengukuran Nilai Availability & Performance Kapal Peti Kemas Dengan Menggunakan OEE
Authors: Akbar Rizka , Achmadi Fuad 
Published: August 2021

Didalam Perusahaan Pelayaran Kapal Peti Kemas semua armada kapal diharapkan bisa di operasikan di mana saja dan kapan saja sesuai dengan trayek kapal dan kebutuhan dari pasar atau penyewa kapal. Untuk itu diperlukan perhitungan nilai Availability & Performance untuk mengetahui kondisi Kapal Peti Kemas. Nilai Availability Kapal Peti Kemas terkecil adalah 42.74%, Performance adalah 54 % dan rata-rata nilai OEE Kapal Peti Kemas adalah 81%. Usulan dalam meningkatkan nilai Availability pada Kapal Peti Kemas adalah melakukan evaluasi Engine Performance dengan baik dan melakukan perencanaan untuk perbaikan sesuai dengan hasil analisa dari Engine Performance Kata kunci: Availability, Performance, OEE, Kapal Peti Kemas
Perencanaan Jumlah Bahan Baku Produksi Soda Caustic PT. XK Dengan Metode Algoritma K-Nearest Neighbour
Authors: Rohman Abdul , Sukmono Tedjo 
Published: August 2021

Dalam proses kegiatan produksi soda caustic PT. XK, Maka diperlukannya perencanaan kesiapan bahan baku utama berupa garam granul (NaCl) yang diharapkan tepat perencanaan dengan melakukan prediksi pada ketersediaan bahan baku utama menggunkan metode algoritma K- Nearest Neighbour hingga bisa membantu perusahaan dalam merencankan jumlah bahan baku utama untuk kelancaran kegiatan industri. Dengan begitu PT.XK dapat menjamin kelancaran kegiatan produksi dan kapasitas produksi untuk melayani permintaan konsumen pada produk soda caustic (NaOH). Algoritma K- Nearest Neighbour merupakan proses mining data yang tergolong dalam kategori machine learning (supervised learning) yang berdasarkan pada basis instance atau kedekatan antara data latih dan data uji dengan rumus eucledian distance guna mencari hasil jarak terdekat. Dalam melakukan prediktif untuk perencanaan yang diinginkan maka perlu mengukur tingkat keakurasian data, data recall, data presisi dan kurva ROC (receiver operating characteristic). Maka berdasarkan penelitian yang dilakukan mendapatkan hasil prediktif guna merencanakan jumlah bahan baku selama satu periode yang akan datang dengan keakuratan data prediksi sebesar 92,67%, dengan perbandingan data recall dan presisi data, sehingga menghasilkan kurva ROC (receiver operating characteristic) sebesar 0,75 dimana prediksi tergolong cukup baik.
AN INFOTAINMENT FRAMING ANALYSIS: CELEBRITY DIVORCE PORTRAYAL IN INDONESIA
Authors: Sihombing Lambok Hermanto , Gabriella Angella Tiara , Eveline Ivanna Maria Maria 
Published: August 2021

Infotainment has been a part of Indonesian mainstream media segmentation for a long time. Celebrities Divorce cases are one example of a storyline that Infotainment often covers with certain framing to gain more reaction from the public. This study aimed to uncover the framing within Aura Kasih divorce cases that are being reported by Insert, one infotainment channel in Indonesia. The researchers used Framing theory by Robert Entman. The dataset was taken from television and social media such as @inserlive, Insert infotainment, Intens Investigasi, and Trans TV Official. The result of this study concluded in several usage of framing that drives people to their own conclusions outside the information that those infotainment offers and proves the effect of said framing to influence the viewers perception and opinion.
SOCIAL MEDIA MARKETING STRATEGY IN BUILDING BRAND ENGAGEMENT
Authors: Riski Malida Zulfaniazahra , Susilo Muhammad Edy , Ardhanariswari Kartika Ayu 
Published: August 2021

The rapid development of social media as part of people’s lifestyle nowadays, is currently being used by companies to strengthen emotional bonds between consumer and brand. Through social media marketing activities in #AlamiLawanJerawat campaign, &friends as a creative agency carried out three objective phases, one of them is brand engagement, which is an important element in getting consumer participation. This study aims to find out the social media marketing strategy and explore the factors which oppose the social media marketing strategy of &friends in building Himalaya’s brand engagement through #AlamiLawanJerawat campaign on Instagram. This study used Breakenridge's The Social Media Strategy Wheel theory with the concept of brand engagement. This research method used descriptive qualitative case study. The data collection process was carried out by observation and in-depth interview. From the research results, it was found that the strategy taken by &friends for Himalaya was to create insights for content creation related to target audiences, utilize influencer channels, and engagement contents such as giveaway and honest reviews which ultimately succeeded in increasing brand engagement at the loyalty audiences stage, with 217% increase in sales in four months, and a growth of followers from 15,000 to 27,000 after the #AlamiLawanJerawat campaign on Instagram. In implementing the strategy, internal obstacles were found, namely inconsistencies in the implementation of the content schedule and external obstacles on the timeline production.
DELTA FM JOGJA'S MARKETING COMMUNICATION STRATEGY IN MAINTAINING ITS EXISTENCE IN THE SPECIAL REGION OF YOGYAKARTA
Authors: Permata Evanny Yuwike , Ashrianto Panji Dwi 
Published: August 2021

The intence radio competition in Yogyakarta requires radios to have a strategy in maintaining their existence in this digitalized era. A good marketing communication strategy is needed to attract the attention of both listeners and advertisers. Delta FM radio as a network radio certainly has challenges in competing with other competitor radios in Yogyakarta. To maintain its existence, Delta FM radio requires the right marketing communication strategy. This study aims to determine the marketing communication strategy of Delta FM Yogyakarta in maintaining its existence in D.I.Yogyakarta. This study uses Planning theory by Berger, Marketing Communication Mix, and analysis of Segmenting, Targeting, and Positioning (S-T-P). The research method used is descriptive qualitative. The results showed that in determining the marketing communication strategy, Delta FM Yogyakarta carried out 3 stages, namely the planning stage, the implementation stage, and the evaluation stage. In its implementation, Delta FM uses 5 stages of marketing communication mix, such as Advertising, Sales Promotion, Public Relations, Personal Selling and Direct Selling.
Parálisis periódica hipopotasemia
Authors: Campos Duarte Katherine , Mesén Román Mónica , Tinoco Chavarría Valeria 
Published: August 2021

La parálisis periódica hipocalemia es un trastorno autosómico dominante neuromuscular, que forma parte de un conjunto de enfermedades agrupadas conocidas como canalopatías. Estas diversas patologías se caracterizan por presentar mutaciones en los genes ubicados en los canales iónicos de sodio y calcio dependientes del voltaje, los cuales generan una inexitabilidad de la membrana muscular. Presentan diversas manifestaciones clínicas como episodios de parálisis y debilidad muscular de los cuatro miembros que puede durar horas, no obstante, suelen afectar principalmente a nivel de los miembros inferiores, relacionados con niveles bajos de potasio en sangre. Se describen dos genes causantes de las alteraciones en el voltaje denominados CACNA1S, SCN4A.
El diagnóstico se basa en la historia clínica y sintomatología, así como la confirmación mediante pruebas genéticas, la adecuada educación acerca de la identificación de los factores de riesgo, consejos dietéticos, cambios estilo de vida junto con intervenciones farmacológicas son el tratamiento de elección ideal.
Cognitive versus virtual reality simulation for evaluation of technical skills in neurosurgery
Authors: Knafo Steven , Penet Nicolas , Gaillard Stephan , Parker Fabrice 
Published: August 2021

OBJECTIVE
Simulation is gaining momentum as a new modality of medical training, particularly in acute care settings such as surgery. In the present study, the authors aimed to compare individual cognitive skills with manual abilities as assessed by virtual reality (VR) simulation among neurosurgical residents.

METHODS
Participants were asked to complete a multiple-choice questionnaire assessing their surgical abilities regarding three basic neurosurgical procedures (endoscopic third ventriculostomy, cranial meningioma, and lumbar laminectomy). They subsequently performed these same three procedures on a VR simulator (NeuroTouch).

RESULTS
The authors found that cognitive scores correlated with self-evaluation of surgical experience and autonomy. On the contrary, VR simulation, as assessed by NeuroTouch automated scoring, did not reflect participants’ cognitive or self-evaluation of their surgical proficiency.

CONCLUSIONS
The results of this study suggest that neurosurgical education should focus as much on cognitive simulation (e.g., careful planning and critical appraisal of actual procedures) as on VR training of visuomotor skills.
Study of comparative surgical exposure to the petroclival region using patient-specific, petroclival meningioma virtual reality models
Authors: Jean Walter C. , Yang Yang , Srivastava Aneil , Tai Alexander X. , Herur-Raman Aalap , Kim H. Jeffrey , Li Da , Wu Zhen 
Published: August 2021

OBJECTIVE
Despite advancement of surgical techniques, the attachments of petroclival meningiomas near the central clival depression (CCD) remain difficult to visualize. With existing methods, the amount of tumor near the CCD that is inaccessible through various approaches cannot be compared. Tumors distort the brainstem, changing the size of the operative corridor for some but not all approaches; therefore, using cadavers with normal posterior fossae makes it impossible to compare different approaches to the tumor. The authors used virtual reality (VR) models created from the imaging data of patients to compare various surgical approaches that have otherwise been incomparable in previous studies.

METHODS
CT and MRI data obtained in 15 patients with petroclival meningiomas were used to create anatomically accurate 3D VR models. For each model, various surgical approaches were performed, and the surgical freedom to 6 targets of the regions were measured. Furthermore, portions of the tumor that were visually blocked by the brainstem or bony structures were segmented and recorded as blinded volumes for comparison.

RESULTS
The extended retrosigmoid approach generated excellent exposure of the petroclival region, but for most specimens, there was inaccessible tumor volume adjacent to the brainstem (mean 641.3 mm3, SE 161.8). In contrast, the brainstem sides of the tumors were well-visualized by all the transpetrosal approaches. The blinded volume of the tumor was largest for the retrolabyrinthine approach, and this was statistically significant compared with all other approaches (mean 2381.3 mm3, SE 185.4).

CONCLUSIONS
The authors performed a novel laboratory study by using patient CT and MRI data to generate 3D virtual models to compare surgical approaches. Since it is impossible to perform various approaches in separate surgeries in patients for comparison, VR represents a viable alternative for such comparative investigations.
Augmented reality head-mounted display–based incision planning in cranial neurosurgery: a prospective pilot study
Authors: Ivan Michael E. , Eichberg Daniel G. , Di Long , Shah Ashish H. , Luther Evan M. , Lu Victor M. , Komotar Ricardo J. , Urakov Timur M. 
Published: August 2021

OBJECTIVE
Monitor and wand–based neuronavigation stations (MWBNSs) for frameless intraoperative neuronavigation are routinely used in cranial neurosurgery. However, they are temporally and spatially cumbersome; the OR must be arranged around the MWBNS, at least one hand must be used to manipulate the MWBNS wand (interrupting a bimanual surgical technique), and the surgical workflow is interrupted as the surgeon stops to “check the navigation” on a remote monitor. Thus, there is need for continuous, real-time, hands-free, neuronavigation solutions. Augmented reality (AR) is poised to streamline these issues. The authors present the first reported prospective pilot study investigating the feasibility of using the OpenSight application with an AR head-mounted display to map out the borders of tumors in patients undergoing elective craniotomy for tumor resection, and to compare the degree of correspondence with MWBNS tracing.

METHODS
Eleven consecutive patients undergoing elective craniotomy for brain tumor resection were prospectively identified and underwent circumferential tumor border tracing at the time of incision planning by a surgeon wearing HoloLens AR glasses running the commercially available OpenSight application registered to the patient and preoperative MRI. Then, the same patient underwent circumferential tumor border tracing using the StealthStation S8 MWBNS. Postoperatively, both tumor border tracings were compared by two blinded board-certified neurosurgeons and rated as having an excellent, adequate, or poor correspondence degree based on a subjective sense of the overlap. Objective overlap area measurements were also determined.

RESULTS
Eleven patients undergoing craniotomy were included in the study. Five patient procedures were rated as having an excellent correspondence degree, 5 had an adequate correspondence degree, and 1 had poor correspondence. Both raters agreed on the rating in all cases. AR tracing was possible in all cases.

CONCLUSIONS
In this small pilot study, the authors found that AR was implementable in the workflow of a neurosurgery OR, and was a feasible method of preoperative tumor border identification for incision planning. Future studies are needed to identify strategies to improve and optimize AR accuracy.
Efficacy of a virtual reality–based basic and clinical fused curriculum for clinical education on the lumbar intervertebral disc
Authors: Qi Fangfang , Gan Yixiang , Wang Shengwen , Tie Yizhe , Chen Jiewen , Li Chunhai 
Published: August 2021

OBJECTIVE
Today, minimally invasive procedures have become mainstream surgical procedures. Percutaneous endoscopic transforaminal discectomy for lumbar disc herniation (LDH) requires profound knowledge of the laparoscopic lumbar anatomy. Immersive virtual reality (VR) provides three-dimensional patient-specific models to help in the process of preclinical surgical preparation. In this study, the authors investigated the efficacy of VR application in LDH for training orthopedic residents and postgraduates.

METHODS
VR images of the lumbar anatomy were created with immersive VR and mAnatomy software. The study was conducted among 60 residents and postgraduates. A questionnaire was developed to assess the effect of and satisfaction with this VR-based basic and clinical fused curriculum. The teaching effect was also evaluated through a postlecture test, and the results of the prelecture surgical examination were taken as baselines.

RESULTS
All participants in the VR group agreed that VR-based education is practical, attractive, and easy to operate, compared to traditional teaching, and promotes better understanding of the anatomical structures involved in LDH. Learners in the VR group achieved higher scores on an anatomical and clinical fusion test than learners in the traditional group (84.67 ± 14.56 vs 76.00 ± 16.10, p < 0.05).

CONCLUSIONS
An immersive VR-based basic and clinical fused curriculum can increase residents’ and postgraduates’ interest and support them in mastering the structural changes and complicated symptoms of LDH. However, a simplified operational process and more realistic haptics of the VR system are necessary for further surgical preparation and application.
Augmented reality navigation for cranial biopsy and external ventricular drain insertion
Authors: Skyrman Simon , Lai Marco , Edström Erik , Burström Gustav , Förander Petter , Homan Robert , Kor Flip , Holthuizen Ronald , Hendriks Benno H. W. , Persson Oscar , Elmi-Terander Adrian 
Published: August 2021

OBJECTIVE
The aim of this study was to evaluate the accuracy (deviation from the target or intended path) and efficacy (insertion time) of an augmented reality surgical navigation (ARSN) system for insertion of biopsy needles and external ventricular drains (EVDs), two common neurosurgical procedures that require high precision.

METHODS
The hybrid operating room–based ARSN system, comprising a robotic C-arm with intraoperative cone-beam CT (CBCT) and integrated video tracking of the patient and instruments using nonobtrusive adhesive optical markers, was used. A 3D-printed skull phantom with a realistic gelatinous brain model containing air-filled ventricles and 2-mm spherical biopsy targets was obtained. After initial CBCT acquisition for target registration and planning, ARSN was used for 30 cranial biopsies and 10 EVD insertions. Needle positions were verified by CBCT.

RESULTS
The mean accuracy of the biopsy needle insertions (n = 30) was 0.8 mm ± 0.43 mm. The median path length was 39 mm (range 16–104 mm) and did not correlate to accuracy (p = 0.15). The median device insertion time was 149 seconds (range 87–233 seconds). The mean accuracy for the EVD insertions (n = 10) was 2.9 mm ± 0.8 mm at the tip with a 0.7° ± 0.5° angular deviation compared with the planned path, and the median insertion time was 188 seconds (range 135–400 seconds).

CONCLUSIONS
This study demonstrated that ARSN can be used for navigation of percutaneous cranial biopsies and EVDs with high accuracy and efficacy.
Holographic mixed-reality neuronavigation with a head-mounted device: technical feasibility and clinical application
Authors: Qi Ziyu , Li Ye , Xu Xinghua , Zhang Jiashu , Li Fangye , Gan Zhichao , Xiong Ruochu , Wang Qun , Zhang Shiyu , Chen Xiaolei 
Published: August 2021

OBJECTIVE
The authors aimed to evaluate the technical feasibility of a mixed-reality neuronavigation (MRN) system with a wearable head-mounted device (HMD) and to determine its clinical application and accuracy.

METHODS
A semiautomatic registration MRN system on HoloLens smart glasses was developed and tested for accuracy and feasibility. Thirty-seven patients with intracranial lesions were prospectively identified. For each patient, multimodal imaging–based holograms of lesions, markers, and surrounding eloquent structures were created and then imported to the MRN HMD. After a point-based registration, the holograms were projected onto the patient's head and observed through the HMD. The contour of the holograms was compared with standard neuronavigation (SN). The projection of the lesion boundaries perceived by the neurosurgeon on the patient's scalp was then marked with MRN and SN. The distance between the two contours generated by MRN and SN was measured so that the accuracy of MRN could be assessed.

RESULTS
MRN localization was achieved in all patients. The mean additional time required for MRN was 36.3 ± 6.3 minutes, in which the mean registration time was 2.6 ± 0.9 minutes. A trend toward a shorter time required for preparation was observed with the increase of neurosurgeon experience with the MRN system. The overall median deviation was 4.1 mm (IQR 3.0 mm–4.7 mm), and 81.1% of the lesions localized by MRN were found to be highly consistent with SN (deviation < 5.0 mm). There was a significant difference between the supine position and the prone position (3.7 ± 1.1 mm vs 5.4 ± 0.9 mm, p = 0.001). The magnitudes of deviation vectors did not correlate with lesion volume (p = 0.126) or depth (p = 0.128). There was no significant difference in additional operating time between different operators (37.4 ± 4.8 minutes vs 34.6 ± 4.8 minutes, p = 0.237) or in localization deviation (3.7 ± 1.0 mm vs 4.6 ± 1.5 mm, p = 0.070).

CONCLUSIONS
This study provided a complete set of a clinically applicable workflow on an easy-to-use MRN system using a wearable HMD, and has shown its technical feasibility and accuracy. Further development is required to improve the accuracy and clinical efficacy of this system.
Development of an inside-out augmented reality technique for neurosurgical navigation
Authors: Dho Yun-Sik , Park Sang Joon , Choi Haneul , Kim Youngdeok , Moon Hyeong Cheol , Kim Kyung Min , Kang Ho , Lee Eun Jung , Kim Min-Sung , Kim Jin Wook , Kim Yong Hwy , Kim Young Gyu , Park Chul-Kee 
Published: August 2021

OBJECTIVE
With the advancement of 3D modeling techniques and visualization devices, augmented reality (AR)–based navigation (AR navigation) is being developed actively. The authors developed a pilot model of their newly developed inside-out tracking AR navigation system.

METHODS
The inside-out AR navigation technique was developed based on the visual inertial odometry (VIO) algorithm. The Quick Response (QR) marker was created and used for the image feature–detection algorithm. Inside-out AR navigation works through the steps of visualization device recognition, marker recognition, AR implementation, and registration within the running environment. A virtual 3D patient model for AR rendering and a 3D-printed patient model for validating registration accuracy were created. Inside-out tracking was used for the registration. The registration accuracy was validated by using intuitive, visualization, and quantitative methods for identifying coordinates by matching errors. Fine-tuning and opacity-adjustment functions were developed.

RESULTS
ARKit-based inside-out AR navigation was developed. The fiducial marker of the AR model and those of the 3D-printed patient model were correctly overlapped at all locations without errors. The tumor and anatomical structures of AR navigation and the tumors and structures placed in the intracranial space of the 3D-printed patient model precisely overlapped. The registration accuracy was quantified using coordinates, and the average moving errors of the x-axis and y-axis were 0.52 ± 0.35 and 0.05 ± 0.16 mm, respectively. The gradients from the x-axis and y-axis were 0.35° and 1.02°, respectively. Application of the fine-tuning and opacity-adjustment functions was proven by the videos.

CONCLUSIONS
The authors developed a novel inside-out tracking–based AR navigation system and validated its registration accuracy. This technical system could be applied in the novel navigation system for patient-specific neurosurgery.