bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inventory Planning at Painting Section in the Indonesian Automotive Industry
Authors: Sitepu Muhammad Haikal , Situmorang Dian Pratama , Sembiring Meilita Tryana 
Published: October 2019

Abstract
An increase of competition in the Indonesian automotive industry due to an emergence of new products and the presence of new players has pushed the companies in this industry to have proper planning for inventory. Many models are available in the literature to support good planning for inventory, However, not all models are appropriate to be used in inventory planning for a specific department in the Automotive industry. Economic impacts such as cost can be used as consideration in selecting the appropriate model. This paper aims to compare models for inventory planning at painting section in one of the Indonesian automotive industry based on inventory cost. Economic Order Quantity (EOQ), Kanban and Economic Order Interval (EOI) are models compared in this study. The results of this study indicated that EOQ and EOI are the inventory model that produces the lowest inventory cost.
Automatic Number Plate Recognition for Indonesian License Plate by Using K-Nearest Neighbor Algorithm
Authors: Gunawan D , Rohimah W , Rahmat R F 
Published: October 2019

Abstract
Transportation surveillance requires many human resources to cover all the road in a city. The human resources might be reduced by utilizing automation. For example, a task to recognize the license plate can be automated by utilizing CCTVs or surveillance cameras that usually installed in the crossroads. The automatic number plate recognition is required to record the license plate of the vehicle that violates the traffic rules. This number can be processed for future references. This research utilizes K-Nearest Neighbor (KNN) to recognize the license plate. The research is conducted to 125 license plate images which are divided into 100 training images and 25 testing images. The success rate of this research is 92.86%. The condition of the license plate and light intensity influence the recognition result.
Automatic regulator design for Liquified Petroleum Gas
Authors: Nasution T H , Nasution R Y , Putri K A , Nasution C F 
Published: October 2019

Abstract
In Indonesia, cases of explosions due to gas cylinder leakage have begun to become the attention of the government and the development company. If a leakage happens when there are no people around it this can be dangerous because no one open the regulator on the LPG tube. To handle this, we design a system to detect leakage and release regulators if a gas leakage is detected. We build the automatic regulator system, we use several equipment including Arduino Nano, MQ-2 sensor and servo motor. The MQ-2 sensor is used as an input for gas leakage detection when the servo motor is used as a control output to open the regulator knob. Arduino Nano is used as a control device to read sensor signal input and control the output in the servo motor. Based on the results of the tests have been carried out the automatic regulator work well when a gas leakage happens by opening the regulator knob and the gas does not flow continuously. From the test results obtained an average response time to open the knop after the detected gas is 1,796 seconds.
Interaction 3D Human Anatomy of Ear, Nose, Throat Using Mix Reality
Authors: Syahputra M F , Rahmat R F , Zahara Devira , Saragih M Arfiza Putra , Lubis M Anggia , Muchtar M A , Andayani U 
Published: October 2019

Abstract
The development of information technology in the future will continue to grow and full of innovations, all shortcomings in an application or equipment will continue to be minimized, all ways to simplify and efficiently a technology are continuously looked for and developed by experts in their respective fields. The frequent use of 3D objects and animation in medical learning media is felt to be incomplete without the direct interaction of users with modern computers so that users are more interested in learning for Ear, Nose and Throat. Therefore, in this study, an interaction system was made on the Ear Nose Throat medical learning application using Microsoft HoloLens. In this study used interactions that use hand gesture and voice input. The results of this study, users will be able to interact with the Ear, Nose and Throat using Microsoft HoloLens. With this extensive application, it will facilitate users in Ear, Nose and Throat medical learning more interactively with the unique features of applications that use voice input and hand gesture.
3D Modelling Intestine Anatomy with Augmented Reality for Interactive Medical Learning
Authors: Andayani U , Syahputra M F , Muchtar M A , Sattar M , Prayudani Santi , Fahmi F 
Published: October 2019

Abstract
Humans, one of the heterotrophic living things must meet energy needs by consuming food. The food is then described in the digestive system to become an energy source. The digestive system is composed of the digestive tract and digestive gland glands. In the excerpt of the book “Prometheus” human anatomy, the digestive tract acts as a tool for receiving, chewing, delivering, storing, digesting, absorbing (absorbing) and eliminating food. The small intestine, large intestine, and rectum are organs included in the digestive process. This organ is one of the materials taught to science students to the level of students, especially in medicine. Submission of material about the digestive system in humans themselves is still through conventional media such as blackboards, and images contained in books. Several innovations have been carried out, but still, the development of learning innovations must continue to be developed, so that less interesting subject matter makes it easier for students to know a subject matter with the help of technology and multimedia. The conventional method can only be told without being visualized. If using Augmented Reality (AR) has advantages, namely virtual storage (memory), can be learned at any time, can only be installed on a smartphone, each of them can be studied without thematic tools, and can be visualized by scenarios or stories about problems. The marker was used from the Prometheus book [10] then the AR as the visualization of the organs. The results by developing a 3D model using blender and unity showed that the optimal models could be created by combining both their applications and the testing result of marker detection stable from 15-45 cm and tilt marker detection between 45° - 150°.
Designing an IoT-based air quality monitoring system
Authors: Nasution T H , Muchtar M A , Simon A 
Published: October 2019

Abstract
The air quality in an area very influential on the state of the population in an area because of the quality can affect both the health of humans, animals or plants. Therefore, it is necessary to periodically monitor air quality conditions in an area. In this study an IoT-based air quality monitoring system was designed to determine the air quality conditions in an area. The system will monitor using sensors to see the levels of several substances in the air including O3, SO2, CO and particulates. Reading sensor data using an Arduino microcontroller. Then the data sent to the ThingSpeak cloud system uses a WIFI module on Arduino by accessing the API provided by the ThingSpeak cloud service. The monitoring results will be visible through a web page provided by the ThingSpeak cloud service.
Additive and Multiplicative Interactions Between Genetic Risk Score and Family History and Lifestyle in Relation to Risk of Type 2 Diabetes
Authors: Ding Ming , Ahmad Shafqat , Qi Lu , Hu Yang , Bhupathiraju Shilpa N , Guasch-Ferré Marta , Jensen Majken K , Chavarro Jorge E , Ridker Paul M , Willett Walter C , Chasman Daniel I , Hu Frank B , Kraft Peter 
Published: October 2019

Abstract
We examined interactions between lifestyle factors and genetic risk of type 2 diabetes (T2D-GR), captured by genetic risk score (GRS) and family history (FH). Our initial study cohort included 20,524 European-ancestry participants, of whom 1,897 developed incident T2D, in the Nurses’ Health Study (1984–2016), Nurses’ Health Study II (1989–2016), and Health Professionals Follow-up Study (1986–2016). The analyses were replicated in 19,183 European-ancestry controls and 2,850 incident T2D cases in the Women’s Genome Health Study (1992–2016). We defined 2 categories of T2D-GR: high GRS (upper one-third) with FH and low GRS or without FH. Compared with participants with the healthiest lifestyle and low T2D-GR, the relative risk of T2D for participants with the healthiest lifestyle and high T2D-GR was 2.24 (95% confidence interval (CI): 1.76, 2.86); for participants with the least healthy lifestyle and low T2D-GR, it was 4.05 (95% CI: 3.56, 4.62); and for participants with the least healthy lifestyle and high T2D-GR, it was 8.72 (95% CI: 7.46, 10.19). We found a significant departure from an additive risk difference model in both the initial and replication cohorts, suggesting that adherence to a healthy lifestyle could lead to greater absolute risk reduction among those with high T2D-GR. The public health implication is that a healthy lifestyle is important for diabetes prevention, especially for individuals with high GRS and FH of T2D.
Probing the Impact of Gender-Affirming Hormone Treatment on Odor Perception
Authors: Kranz Georg S , Kaufmann Ulrike , Lanzenberger Rupert 
Published: October 2019

Abstract
Evidence suggests that women outperform men in core aspects of odor perception, and sex hormones may play a significant role in moderating this effect. The gender-affirming treatment (GAT) of transgender persons constitutes a powerful natural experiment to study the psychological and behavioral effects of high dosages of cross-sex hormone applications. Therefore, our aim was to investigate the effects of GAT on odor perception in a sample of 131 participants including female and male controls, as well as transmen and transwomen over their first 4 months of gender transition. The Sniffin’ Sticks test battery was used to measure odor detection, discrimination, and identification at baseline, as well as 1 and 4 months after the start of GAT. Plasma levels of estradiol, testosterone, and sex hormone-binding globulin were analyzed for each assessment point. Results revealed no significant change of olfactory performance in the two transgender groups compared with female and male controls. There was no significant difference between groups at baseline or any other time point. Neither biological sex, nor gender identity had an influence on odor perception. Moreover, there was no significant correlation between sex hormones and odor perception and between GAT-induced changes in sex hormones and changes in odor perception. Our results indicate that the effects of sex hormones on olfactory performance are subtle, if present at all. However, our results do not preclude hormonal effects on odors not included in the Sniffin’ Sticks test battery, such as body odors or odors associated with sex.
Characterizing Clinical Features and Creating a Gene Expression Profile Associated With Pain Burden in Children With Inflammatory Bowel Disease
Authors: Grossi Victoria , Hyams Jeffrey S , Glidden Nicole C , Knight Brittany E , Young Erin E 
Published: October 2019

Abstract

Background
There is often dissociation between inflammatory activity and abdominal pain in children with inflammatory bowel disease (IBD), suggesting other factors may play a role in the pain experience.

Methods
Patients (8 to 17 years) newly diagnosed with IBD were enrolled in the ALLAY Study: Assessing Risk Factors for Abdominal Pain in Children with Inflammatory Bowel Disease (NCT02984059). At diagnostic colonoscopy, 3 rectal biopsies were collected, and gene expression analysis was performed using Qiagen RT2 Profiler Neuropathic and Inflammatory Pain PCR Array. Relative fold difference in gene expression for 84 pain-associated genes was calculated using the 2-ΔΔ Cq method compared with pain-free controls. Factors affecting pain burden (Pain Burden Interview; PBI) were analyzed, including age, sex, rectal inflammation, and gene expression. Data were analyzed using multiple stepwise linear regression and 2-tailed t tests (P ≤ 0.05).

Results
Thirty-nine newly diagnosed IBD patients were included (65% male, mean age 12.75 years [SD 2.63], 23 Crohn’s disease, 16 ulcerative colitis), along with 3 controls. Mean PBI score was 7.73 (SD 6.4, range 0 to 23) for all patients. Age and sex were not predictive of pain burden, but disease activity score was (P = 0.03). Expression of TRPV3, OPRM1, P2X3, SCN9A, PTGS2, and MAPK14 were associated with PBI score. Subsequent 2-tailed t tests comparing patients with no pain (PBI score ≦ 2, N = 11) to those with pain (PBI &gt; 2, N = 28) confirmed differential expression of TRPV3, PTGS2, and MAPK14 was in patients with pain (all P &lt; 0.05).

Conclusion
Pain burden in newly diagnosed IBD patients may be linked to TRPV3, PTGS2, and MAPK14 expression, suggesting potential therapeutic targets for managing pain in IBD.
Bariatric Surgery and Its Complications in Inflammatory Bowel Disease Patients
Authors: Singh Amandeep , Koenen Brian , Kirby Donald F 
Published: October 2019

AbstractRecent data have suggested that bariatric procedures, especially laparoscopic sleeve gastrectomy (SG), are safe and effective weight loss measures in patients with inflammatory bowel disease (IBD). But most of the studies have looked at short-term outcomes, and there is a general lack of awareness of underlying disease processes and baseline comorbidities in IBD patients undergoing bariatric procedures. Postbariatric issues in IBD patients including diarrhea from dumping syndrome, choleretic diarrhea, a high prevalence of small intestinal bacterial overgrowth, gastroesophageal reflux disease, Barrett’s esophagus, stomal ulcerations, stenosis, and renal and gallstones can complicate the natural history of IBD. This could lead to unnecessary hospitalizations, change of medical therapy, and poor surgical and quality of life outcomes. In this review, we will discuss major complications after common bariatric procedures (SG, Roux-en-Y gastric bypass, and gastric banding) and suggest possible management strategies.
Early outcome of aortic balloon occlusion during total aortic arch replacement with the frozen elephant trunk technique for aortic dissection
Authors: Li Yunfeng , Guo Hongwei , Shi Yi , Liu Yanxiang , Sun Xiaogang 
Published: October 2019

Abstract

OBJECTIVES
The aim of this study was to propose and evaluate the new operative technique of aortic balloon occlusion in total aortic arch replacement (TAR) with the frozen elephant trunk that can significantly decrease the time of circulatory arrest and increase the hypothermic cardiopulmonary bypass (CPB) temperature.

METHODS
Between 2010 and 2018, 1335 patients with aortic dissection who underwent TAR with the frozen elephant trunk were included in the study. The newest 80 cases were treated with aortic balloon occlusion. To illustrate the difference with the new procedure, 1255 conventional TAR cases served as the historical control. Femoral and right axillary artery cannulations were used for CPB and antegrade selective cerebral perfusion. Circulatory arrest was implemented at the nasopharyngeal temperature of 28°C with continuous antegrade selective cerebral perfusion. After the stent graft was inserted into the true lumen of the descending aorta, the aortic balloon in a sheath was deployed into the stent graft and positioned at the metal part of the stent graft. When the balloon was inflated with enough saline to compress the stent graft, the sheath was simultaneously pressed by hand to properly fix the balloon and avoid displacement. Then femoral perfusion could be resumed.

RESULTS
The aortic balloon occlusion technique was successful in all patients, with the median duration of circulatory arrest being 5 (interquartile range 3–7) min. The 30-day mortality rate was 6.25% (5/80), whereas with the conventional method it was 9.40% (118/1255). The postoperative conscious revival (8.67 vs 11.40 h, P < 0.001) and mechanical ventilation times (19.70 vs 24.45 h, P = 0.02) were significantly shorter. Decreases in postoperative acute kidney injuries (13.75% vs 32.11%, P = 0.001) and liver injuries (8.75% vs 37.61%, P < 0.001) were also observed. The patients were transfused with lesser quantities of red blood cells, plasma and platelets.

CONCLUSIONS
The aortic balloon occlusion technique is a feasible way to shorten circulatory arrest significantly, to obviate the need for deep hypothermia in TAR with the frozen elephant trunk and to provide favourable protective effects on the central nervous, haematological and visceral systems. With these satisfactory results, this technique deserves further investigation.
Contemporary outcomes of composite aortic root replacement in elderly patients
Authors: Okamura Homare , Arakawa Mamoru , Kimura Naoyuki , Yuri Koichi , Yamaguchi Atsushi 
Published: October 2019

Abstract

Figure 4:

OBJECTIVES
We investigated the clinical and haemodynamic outcomes in elderly patients undergoing composite aortic root replacement.

METHODS
Between 2005 and 2017, 135 patients underwent aortic root surgery at our hospital. Of these 135 patients, 47 patients aged ≥65 years were included in this study. Pathologies included aneurysms in 31, chronic aortic dissection in 6, acute aortic dissection in 4 and other causes in 6 patients. A bioprosthesis was used in 27 and a mechanical valve in 20 patients. The mean age was 71.0 ± 4.3 years. The mean follow-up period was 61 ± 35 months. Follow-up echocardiographic data (average 48 months after surgery) were collected in 35 patients (74%).

RESULTS
The in-hospital mortality rate was 2.1% (1 patient). Seven late deaths occurred during follow-up. The 1-, 5- and 8-year overall survival was 93.6%, 82.9% and 82.9%, respectively. Infective endocarditis, Marfan syndrome and diabetes were independent predictors of poorer survival. During the follow-up, thromboembolism occurred in 1 patient, major bleeding events in 5 patients, or proximal reoperation for prosthetic valve endocarditis in 1 patient. The type of valve, mechanical or biological valve, did not affect late mortality and morbidity. Follow-up echocardiography revealed significantly improved left ventricular ejection fraction compared with that at discharge.

CONCLUSIONS
Composite aortic root replacement provided satisfactory midterm outcomes in patients aged ≥65 years. Further studies with a longer follow-up are warranted to evaluate late valve-related events.
Healthcare-seeking behaviour, barriers to care and predictors of symptom improvement among patients with cardiovascular disease in northern Tanzania
Authors: Hertz Julian T , Sakita Francis M , Kweka Godfrey L , Loring Zak , Thielman Nathan M , Temu Gloria , Bartlett John A 
Published: October 2019

Abstract

Background
Little is known about healthcare-seeking behaviour and barriers to care for cardiovascular disease (CVD) in sub-Saharan Africa.

Methods
Emergency department patients in Tanzania with acute CVD were prospectively enrolled. Questionnaires were administered at enrollment and 30 d later.

Results
Of 241 patients, 186 (77.2%) had visited another facility for the same illness episode (median symptom duration prior to presentation was 7 d) and 82 (34.0%) reported that they were initially unaware of the potential seriousness of their symptoms. Of the 208 (86.3%) patients completing follow-up, 16 (7.7%) had died, 38 (18.3%) had visited another facility for persistent symptoms, 99 (47.6%) felt they understood their diagnosis, 87 (41.8%) felt they understood their treatment and 11 (7.8%) could identify any of their medications. Predictors of 30 d survival with symptom improvement included medication compliance (p&lt;0.001), understanding the diagnosis (p=0.007), understanding the treatment (p&lt;0.001) and greater CVD knowledge (p=0.008).

Conclusions
Patients with CVD in Tanzania usually visit multiple facilities for the same illness episode, typically after prolonged delays. Only a minority understand their diagnosis and treatment, and such understanding is correlated with survival with symptom improvement. Patient-centred interventions are needed to improve the quality of cardiovascular care in Tanzania.
Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods
Authors: Rule Adam , Chiang Michael F , Hribar Michelle R 
Published: October 2019

Abstract

Objective
To systematically review published literature and identify consistency and variation in the aims, measures, and methods of studies using electronic health record (EHR) audit logs to observe clinical activities.

Materials and Methods
In July 2019, we searched PubMed for articles using EHR audit logs to study clinical activities. We coded and clustered the aims, measures, and methods of each article into recurring categories. We likewise extracted and summarized the methods used to validate measures derived from audit logs and limitations discussed of using audit logs for research.

Results
Eighty-five articles met inclusion criteria. Study aims included examining EHR use, care team dynamics, and clinical workflows. Studies employed 6 key audit log measures: counts of actions captured by audit logs (eg, problem list viewed), counts of higher-level activities imputed by researchers (eg, chart review), activity durations, activity sequences, activity clusters, and EHR user networks. Methods used to preprocess audit logs varied, including how authors filtered extraneous actions, mapped actions to higher-level activities, and interpreted repeated actions or gaps in activity. Nineteen studies validated results (22%), but only 9 (11%) through direct observation, demonstrating varying levels of measure accuracy.

Discussion
While originally designed to aid access control, EHR audit logs have been used to observe diverse clinical activities. However, most studies lack sufficient discussion of measure definition, calculation, and validation to support replication, comparison, and cross-study synthesis.

Conclusion
EHR audit logs have potential to scale observational research but the complexity of audit log measures necessitates greater methodological transparency and validated standards.
Seismic spectral sparse reflectivity inversion based on SBL-EM: experimental analysis and application
Authors: Yuan Cheng , Su Mingjun 
Published: October 2019

Abstract
In this paper, we propose a new method of seismic spectral sparse reflectivity inversion that, for the first time, introduces Expectation-Maximization-based sparse Bayesian learning (SBL-EM) to enhance the accuracy of stratal reflectivity estimation based on the frequency spectrum of seismic reflection data. Compared with the widely applied sequential algorithm-based sparse Bayesian learning (SBL-SA), SBL-EM is more robust to data noise and, generally, can not only find a sparse solution with higher precision, but also yield a better lateral continuity along the final profile. To investigate the potential of SBL-EM in a seismic spectral sparse reflectivity inversion, we evaluate the inversion results by comparing them with those of a SBL-SA-based approach in multiple aspects, including the sensitivity to different frequency bands, the robustness to data noise, the lateral continuity of the final profiles and so on. Furthermore, we apply the mean square error (MSE), residual variance (RV) of seismograms and residual energy (RE) between the frequency spectra of the true and inverted reflectivity model to highlight the advantages of the proposed method over the SBL-SA-based approach in terms of spectral sparse reflectivity inversion within a sparse Bayesian learning framework. Multiple examples, including both numerical and field experiments, are carried out to validate the proposed method.