bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic Value of Connective Tissue Disease Related CT Signs in Usual Interstitial Pneumonia Pattern of Interstitial Lung Disease
Authors: Augustine Antony , Robinson Vimala Leena , Irodi Aparna , Mathew John , Pakkal Mini 
Published: December 2022

Abstract
Purpose Usual interstitial pneumonia (UIP) pattern of interstitial lung disease (ILD) can have varied etiology, with connective tissue disease (CTD) being a common known cause. The anterior upper lobe (AUL) sign, exuberant honeycombing (EHC), and straight edge (SE) sign are recently described computed tomography (CT) signs in CTD-related UIP. We test the diagnostic value of these CT signs for CTD in patients with UIP and compare the incidence of these signs between CTD-related UIP and non–CTD-related UIP. We also evaluated the interobserver agreement in detection of these CT signs.
Methods Retrospective study of all patients who had UIP pattern of ILD on CT thorax done from January 1, 2016 to January 31, 2019, was grouped into two: non–CTD-related UIP or CTD-related UIP. CT thorax was reviewed for the presence of these signs—AUL, SE, and EHC. The diagnostic values of these signs in diagnosing CTD-related UIP was assessed. For assessment of interobserver agreement, another radiologist reviewed a subset of 30 randomly selected cases and looked for the presence of these signs.
Results Of the 156 patients included, 76 had CTD. The incidence of CT signs were significantly higher in CTD-related UIP. The specificities of AUL, EHC, and SE were 82.5, 75, and 85%, respectively. The EHC sign had highest sensitivity of 48.7%. Inclusion of more than one sign increased the specificity of diagnosis of CTD-related UIP; however, the sensitivity decreases. There was excellent interobserver agreement (0.81–0.87) for each of these signs.
Conclusion The presence of SE, AUL, and EHC signs in cases with UIP pattern are specific imaging markers to diagnose underlying CTD; however, due to its low sensitivity, the absence of these signs cannot exclude the same. Because of its excellent interobserver agreement, these signs are reliable in the evaluation of CTD-related ILD.
Utilization of Virtual Consultations in Facial Plastic Surgery during the COVID-19 Pandemic
Authors: Sunkara Pranit R. , Abboud Michel M. , Chung Michael T. , Johnson Jared , Hojjat Houmehr , DeJoseph Louis M. 
Published: December 2022

AbstractBackground The coronavirus disease 2019 pandemic affected many aspects of medical practice, particularly surgical fields. The American College of Surgery initially recommended the cancellation of all elective procedures. As a result, virtual consultations (VCs; a form of telemedicine), became widely used in the field of facial plastic and reconstructive surgery. With more facial plastic and reconstructive surgeons (FPRS) conducting both in-person and virtual visits, it is imperative to understand how VCs are utilized in practice.Methods An electronic, anonymous survey was distributed to 1,282 electronic mail addresses in the 2018 American Academy of Facial Plastic and Reconstructive Surgery directory. The survey collected responses on various topics including demographic information and past, current, and future use of VCs.Results The survey yielded 84 responses. Most surgeons (66.7%) were 11+ years out of fellowship. There was a significant increase in the percentage of VCs scheduled after the pandemic than before (p = 0.03). FPRS most frequently responded that VCs should always be followed by an in-person visit (48.6%). A majority of FPRS (66.2%) believe that VCs have improved the delivery of health care in at least some cases. Almost all FPRS (86.5%) plan on using VCs after the pandemic.Conclusion Since the pandemic, VCs are more frequently used by surgeons and are mostly utilized as an initial patient visit. A majority of FPRS believe that VCs have improved health care in at least some cases, and plan on using VCs after the pandemic.
Process Study on the Enzyme-Catalyzed Preparation of Key Chiral Intermediates for Saxagliptin
Authors: Li Shan-Shan , Huang Zong-Qing , Hua Hao-Ju , Lu Jian-Guang , Zhao Wen-Jie , Feng Jun 
Published: December 2022

AbstractSaxagliptin is a therapeutic drug for diabetes. The key synthesis process of the drug involves catalyzing 2-(3-hydroxy-1-adamantyl)-2-oxoacetic acid (A) into (S)-3-hydroxyadamantane glycine (B), during which enzymes phenylalanine dehydrogenase mutant from Thermoactinomyces intermedius (TiPDHm) and formate dehydrogenase (FDH) were most often used for biocatalysis. However, the process was limited due to difficulty in enzyme preparation and a low conversion rate. This study focuses on co-expression of TiPDHm and FDH in recombinant Escherichia coli, cell homogenate clarification, enzyme concentration as well as the optimized conditions of enzyme-catalyzed reaction. Our data showed that the wet weight density of bacteria reached 300 g/L, and the yields of TiPDHm and FDH were 7674.24 and 2042.52 U/L, respectively. The combination of ammonium formate and polyethyleneimine favors the clarification of the bacteria homogenate. The clarified enzyme solution obtained can be concentrated by ultrafiltration and directly used in a reductive amination reaction in a high concentration of keto acid A. The reaction time was only 12 hours and the conversion rate reached 95%. Therefore, this process could provide a reference for enzyme-catalyzed preparation of saxagliptin on an industrial scale.
Effectiveness of the First Trimester Samrakshan Protocol for the Identification of Pregnant Women at High Risk for Preterm Pre-eclampsia
Authors: Choorakuttil Rijo Mathew , Rajalingam Bavaharan , Satarkar Shilpa R. , Sharma Lalit K. , Gupta Anjali , Baghel Akanksha , Jain Neelam , Dhankar Sandhya , Aneja Kavita , Chhajer Gulab , Dwivedi Somya , Patekar Tejashree Y. , Rajput Eesha , Nirmalan Praveen K. 
Published: December 2022

Abstract
Aim To determine the effectiveness of the first trimester Samrakshan protocol for the identification of pregnant women at high risk for preterm pre-eclampsia (PE).
Methods Samrakshan uses a protocol that integrates routine first-trimester ultrasound assessment at 11 to 14 gestation weeks with the measurement of mean arterial blood pressure and mean uterine artery pulsatility index assessment to determine a customized risk for preterm PE and fetal growth restriction. Based on the risk assessment, pregnant women are classified as high or low risk.
Results The protocol had a high specificity (90.4%, 95% CI: 89.4%, 91.2%) and negative predictive value (98.1%, 95% CI: 97.6%, 99%) for preterm PE. The odds ratio and positive likelihood ratio for preterm PE were 16.7 (95% CI: 12.3, 22.6) and 6.64 (95% CI: 5.77, 7.63), respectively.
Conclusions The positive likelihood ratio and odds ratios indicate that pregnant women identified as high risk for preterm PE using the first-trimester protocol of Samrakshan are significantly more likely to develop preterm PE than low-risk women.
Neonatal Cerebral Sinovenous Thrombosis Post–Therapeutic Hypothermia in Perinatal Asphyxia: A Case Report
Authors: SB Kirthana , Goyal Medha , Mascarenhas Dwayne , Haribalakrishna Anitha 
Published: December 2022

AbstractCerebral sinovenous thrombosis (CSVT) is an uncommon condition in neonates and often leads to adverse neurodevelopmental outcomes. A high index of suspicion for CSVT is mandated for asphyxiated infants, especially following therapeutic hypothermia (TH). Magnetic resonance venography can assist in the early detection of CSVT in suspected cases. Timely initiation of anticoagulation therapy prevents thrombus propagation and allows recanalization at around 6 to 12 weeks. Long-term follow-up is essential as cognitive impairment, motor dysfunctions, and epilepsy are common complications. Herein, we describe the clinical course of a term infant who developed CSVT in the first week of life following TH for perinatal asphyxia, its management strategies, and short-term follow-up till infancy.
A Survey on Parents' Health Literacy on Childhood Human Papilloma Virus Vaccination
Authors: Güneş Ömer , Özkaya-Parlakay Aslınur , Güney Ahmet Yasin , Güder Latife , Mustafaoğlu Özlem , Bayraktar Pınar , Kanık-Yüksek Saliha , Gülhan Belgin 
Published: December 2022

AbstractObjective The aim of this study is to determine parents' knowledge levels and attitudes about childhood human papillomavirus (HPV) vaccination and reveal the differences between parents who are health care workers and nonhealth care workers. The HPV vaccine can potentially prevent initial HPV infection and HPV-related genital and anal precancerous disorders and cancers.Methods Questions and attitudes toward childhood HPV vaccination were asked to 564 parents who agreed to participate in the study.Results In our study, the rate of health care worker parents considering having their children vaccinated against HPV (63.1%) was higher than that of nonhealth care worker parents (11.4%). Only 5% of parents had their children previously vaccinated against HPV; however, there was no difference between parents who were health care workers and those who were not. In addition, this rate was relatively low compared to other paid vaccines (49.8, 35.3, and 18.8%, respectively). Parents who had not previously vaccinated their children against HPV were considering getting their children vaccinated, especially if a pediatrician recommended it.Conclusion The parents' high level of health literacy may not be effective in deciding to vaccinate their children against HPV. Therefore, adequate information and awareness should be provided to all parents about HPV vaccination as early as possible for all children of appropriate age. Pediatricians should be given important roles in raising the awareness of parents about childhood HPV vaccination by health authorities.
The First Photometric and Spectroscopic Study of Contact Binary V2840 Cygni
Authors: Pothuneni Ravi Raja , Devarapalli Shanti Priya , Jagirdar Rukmini 
Published: December 2022

AbstractThe first photometric, spectroscopic and period variation studies of neglected short-period eclipsing binary V2840 Cygni are presented. High mass ratio contact binaries (HMRCBs), especially those in the weak-contact configuration, are vital when probing the evolutionary models of contact binaries (CBs) using stellar parameters. The photometric solutions reveal the weak-contact nature of V2840 Cygni with a high mass ratio (∼1.36), motivating us to investigate the nature of such binaries. The period variation study of V2840 Cygni spanning 15 yr shows a secular period decrease at a rate of ∼5.5 × 10−7day yr−1, indicating mass transfer between the components. The superimposed cyclic variation provides a basic understanding of the possible third body (P3∼ 8 yr,m3∼ 0.51M⊙). Following the derived parameters, the evolution of the system is discussed based on the thermal relaxation oscillation (TRO) model. It is found that V2840 Cygni falls in a special category of HMRCBs, which validates TRO. To characterize the nature of HMRCBs, a catalog of 59 CBs with high mass ratios has been compiled along with their derived parameters from the literature. For all the HMRCBs in the study, a possible correlation between their contact configuration and observed period variations for relative logJrelis discussed. The spectroscopic study of V2840 Cygni provides evidence of the presence of magnetic activity in the system and the existence of ongoing mass transfer which is additionally deduced from the period variation study. The LAMOST spectra of 17 HMRCBs are collected to interpret the stellar magnetic activity in such systems.
AT2021acak: a Candidate Tidal Disruption Event Found in the Zwicky Transient Facility Survey
Authors: Li Jie , Wang Zhong-Xiang , Zheng Dong , Zhang Ju-Jia , Zhu Li-Tao , Chen Zhang-Yi 
Published: December 2022

Abstract
We report a candidate tidal disruption event (TDE) found in the Zwicky Transient Facility survey data. This candidate, with its transient name AT2021acak, showed brightness increases of ∼1 mag around MJD 59500 and subsequent power-law–like brightness declines. We have conducted multiple optical spectroscopic observations with the 2.4 m Lijiang telescope and one observation at X-ray and ultraviolet (UV) bands with the Neil Gehrels Swift Observatory (Swift). The optical spectra of the source show broad H and He emission lines and Fe emission features. Possible 0.3–2 keV X-ray and bright UV emission of the source was detected. We analyze the declines of the optical light curves, the emission features of the optical spectra, and the constructed broad-band UV and optical spectra. The properties derived from the analyses are consistent with those of reported (candidate) TDEs, and in particular very similar to those of ASASSN-18jd. The identification is complicated by the host being likely an AGN, and thus further observations of the event and quiescent host are required in order to have a clear understanding of the nature of this transient event.
Neural Network Back-Propagation Method as Forecasting Technique
Authors: Hermanto Teguh Iman , Idrus Ali , Sugiyanta Lipur , Nasution Darmeli , Gunawan Ikhsan 
Published: December 2022

AbstractUncontrolled population increase has a direct impact on the development of human resource quality, and the rate of economic growth is becoming increasingly challenging. It was the purpose of the study to apply artificial intelligence tools to examine the forecasts of active family planning participants. Between 2019 and 2020, Pematangsiantar’s family planning participants will be counted as part of the dataset. The dataset was gathered through observation and interviews. The problem was solved using an artificial intelligence technique with a backpropagation algorithm. The analysis is carried out with the aid of Matlab R2011a. Six other architectural models, including 6-4-1, 6-4-2-1, 6-6-8-1, and 6-8-10-1, were evaluated for their suitability. The 6-4-2-1 architectural model on Backpropagation may be used to forecast the number of active family planning participants with a training accuracy rate of 75% and a test accuracy rate of 88%, according to the study’s findings. Results are expected to shed light on the necessity and availability of contraception for Pematangsiantar’s active family planning participants.
Backpropagation Artificial Neural Network Enhancement using Beale-Powell Approach Technique
Authors: Singarimbun Roy Nuary , Putra Ondra Eka , Ginantra N L W S R , Dewi Mariana Puspa 
Published: December 2022

Abstract
Machine learning algorithms can study existing data to perform specific tasks. One of the well-known machine learning algorithms is the backpropagation algorithm, but this algorithm often provides poor convergence speed in the training process and a long training time. The purpose of this study is to optimize the standard backpropagation algorithm using the Beale-Powell conjugate gradient algorithm so that the training time needed to achieve convergence is not too long, which later can be used as a reference and information for solving predictive problems. The Beale-Powell conjugate gradient algorithm can solve unlimited optimization problems and is much more efficient than gradient descent-based algorithms such as standard backpropagation. The research data used for the analysis were formal education participation data in Indonesia. To be trained and tested using the 7-10-1 architecture. The results showed that the Beale-Powell Conjugate Gradient algorithm could more quickly perform the training and convergence process. However, the MSE value of testing and performance is still superior to the backpropagation algorithm. So it can be concluded that for the prediction case of Formal Education Participation in Indonesia, the Conjugate Gradient Beale-Powell algorithm is good enough to optimize the performance of backpropagation standards seen from the convergence speed and training performance.
Comparison Fletcher-Reeves and Polak-Ribiere ANN Algorithm for Forecasting Analysis
Authors: Hasibuan Eka Hayana , Hendraputra Surya , Achmad Daengs GS , Saragih Liharman 
Published: December 2022

Abstract
Each method and algorithm ANN has different performances depending on the algorithm used and the parameters given. The purpose of this research is to obtain the best algorithm information from the two algorithms that will be compared based on the performance value or the smallest / lowest MSE value so that it can be used as a reference and information for solving forecasting problems. The ANN algorithms compared were Conjugate Gradient Fletcher-Reeves and Conjugate Gradient Polak-Ribiere. The conjugate gradient algorithm can solve unlimited optimization problems and is much more efficient than gradient descent-based algorithms because of its faster turnaround time and less iteration. The research data used for the forecasting analysis of the two algorithms are data on the number of rural poor people in Sumatra, Indonesia. 6-10-1, 6-15-1, and 6-20-1 architectural analysis. The results showed that the Polak-Ribiere Conjugate Gradient algorithm with the 6-10-1 architecture has the best performance results and the smallest / lowest MSE value compared to the Fletcher-Reeves algorithm and two other architectures. So it can be concluded that the 6-10-1 architectural architecture with the Conjugate Gradient Polak-Ribiere algorithm can be used to solve forecasting problems because the training time to achieve convergence is not too long, and the resulting performance is quite good.
Artificial Neural Network Model for Forecasting Natural Disasters: Polak-Ribiere and Powell-Beale Comparison
Authors: Rianti Eva , Yenila Firna , Ariana A A G B , Elva Yesri , Trisna Novi 
Published: December 2022

AbstractThe prediction problem is an interesting topic to be discussed today. The many predictive methods used to solve problems have become an obstacle for researchers and academics alike. This study aimed to analyze the ability of the ANN prediction method using the Polak-Ribiere and Powell-Beale conjugate gradients. The dataset used for the analysis is disaster times-series data in Indonesia for the last ten years (2011-2020). Data obtained from the Indonesian Disaster Geoportal sourced from the National Disaster Management Agency can be seen on the infographic menu on the website https://gis.bnpb.go.id/. The results obtained based on the analysis that has been carried out, that the 4-10-1 architectural model with the Powell-Beale Conjugate gradient method can produce lower MSE Testing/Performance than the Polak-Ribiere Conjugate gradient method, another advantage is faster time. And fewer iterations. So it can be concluded that based on comparing these two methods, the Conjugate gradient Powell-Beale method with the architectural model 4-10-1 can be used for forecasting/predicting natural disasters because it is a better method.
Dynamics System for Construction Modelling
Authors: Sarasanty Diah , Asmorowati Erna Tri 
Published: December 2022

Abstract
The construction industry is one industry that contributes significantly to a country’s economic growth. A construction project is successful if the implementation meets the three components namely the cost, time and quality. Project financing is one of the important components in the construction project activities that define how much budget should be provided in a construction project activity. Cost components used for feasibility studies, design alternatives are possible, and the selection of optimal design in a construction project. Inaccuracy in analyzing construction costs can have a negative effect on the entire construction process and all parties involved. A system dynamics approach is a simulation method in solving real-world problems to describe relationships among variables in complex real systems. The expected results from this research are quantitatively in the form of reinforced concrete work costs which are influenced by direct costs and indirect costs that can be updated in real-time. From the simulation results, a graphical analysis through the model output will be obtained and all the resulting scenarios can be compared. In addition, with sensitivity analysis through model scenarios, it can accommodate all possible deviations that will occur in the future, including risk factors in the future.
Python Based Machine Learning Text Classification
Authors: Mujilahwati Siti , Sholihin Miftahus , Wardhani Retno , Zamroni M. Rosidi 
Published: December 2022

Abstract
Machine learning is a clear indication that technological progress is accelerating right now. All jobs must be done instantly and quickly in the digital world, making businessmen more competitive. There is also a pressing demand for machine learning in education. As far as future policies go, this is relevant. Included in this issue is the challenge of evaluating the substance of a student’s thesis abstract for accuracy, appropriateness, and topicality. One method for addressing these issues is classification. The appropriateness level of abstract writing can be determined by classifying the labeled training data according to the topic. Of course, the training and test data will be cleaned or pre-processed prior to classification. Pre-processing and classification tasks benefit from the python library’s speed and accuracy. In 2019, 126 abstract papers with 8 labels were used, and in 2020, 116 abstract documents with 8 labels were used. The student’s thesis abstract follows the topic with an accuracy of 93.85 percent, a precision of 97 percent, and a recall of 95 percent, according to the results of the study.
Increasing the Compressive Strength of Concrete Using PPC
Authors: Ginting Arusmalem 
Published: December 2022

Abstract
Cement factories in Indonesia rarely produce OPC due to the high cost of production and less environmentally friendly, so they prefer to produce PPC or PCC. Cement factories located in areas that are rich in natural pozzolan will prefer producing PPC. In general, there is an assumption that increasing the compressive strength of concrete using PPC is slow at the early age. Based on these assumptions, it is necessary to conduct research on increasing the compressive strength of concrete using PPC at an early age. The specimen used was a concrete cylinder, with 3 specimens for each variation. The compressive strength test of concrete is carried out at the ages of: 3, 7, 14, 21, and 28 days. From the research results obtained, compressive strength of concrete has increased with increasing age of the concrete. The increasing the compressive strength of concrete using PPC is comparable with concrete using OPC. The unit weight of concrete is almost the same for all ages of concrete.
Design of Direct Current Motor Speed Controlled Anchor Based on Root Locus Method
Authors: Arunglabi Rismawaty , Allu Nicolaus , Merlin  
Published: December 2022

Abstract
The aim of this research is to design the stability of the system by tuning the root locus method for the Direct Current Motor Speed Controlled Anchor. The process is carried out by modeling a DC motor into a mathematical equation so that the transfer function is obtained and then simulated using Matlab with the root locus method. The results of the simulation obtained the value of pole (P1) = -10, pole (P2) = -2, the asymptote intersection point with the real axis τa
= − 6 and the break away points of the Root Locus leaving the real axis τb
= −6. By looking at the root locus system where the roots of the transfer function are located, all poles are to the left of the imaginary axis and it is stated that the system is stable.