bluuebunny/crossref_metadata_2025_split huggingface dataset:
Technical Report: Diagnosis and Management of Hyperbilirubinemia in the Newborn Infant 35 or More Weeks of Gestation
Authors: Slaughter Jonathan L. , Kemper Alex R. , Newman Thomas B. 
Published: August 2022

CONTEXT
Severe hyperbilirubinemia is associated with kernicterus. Informed guidance on hyperbilirubinemia management, including preventive treatment thresholds, is essential to safely minimize neurodevelopmental risk.

OBJECTIVE
To update the evidence base necessary to develop the 2022 American Academy of Pediatrics clinical practice guideline for management of hyperbilirubinemia in the newborn infant ≥35 weeks’ gestation.

DATA SOURCE
PubMed.

STUDY SELECTION
English language randomized controlled trials and observational studies. Excluded: case reports or series, nonsystematic reviews, and investigations focused on &lt;35-weeks’ gestation infants.

DATA EXTRACTION
Topics addressed in the previous clinical practice guideline (2004) and follow-up commentary (2009) were updated with new evidence published through March 2022. Evidence reviews were conducted for previously unaddressed topics (phototherapy-associated adverse effects and effectiveness of intravenous immune globulin [IVIG] to prevent exchange transfusion).

RESULTS
New evidence indicates that neurotoxicity does not occur until bilirubin concentrations are well above the 2004 exchange transfusion thresholds. Systematic review of phototherapy-associated adverse effects found limited and/or inconsistent evidence of late adverse effects, including cancer and epilepsy. IVIG has unclear benefit for preventing exchange transfusion in infants with isoimmune hemolytic disease, with a possible risk of harm due to necrotizing enterocolitis.

LIMITATIONS
The search was limited to 1 database and English language studies.

CONCLUSIONS
Accumulated evidence justified narrowly raising phototherapy treatment thresholds in the updated clinical practice guideline. Limited evidence for effectiveness with some evidence of risk of harm support the revised recommendations to limit IVIG use.
Psilocybin use patterns and perception of risk among a cohort of Black individuals with Opioid Use Disorder
Authors: Clifton John M. , Belcher Annabelle M. , Greenblatt Aaron D. , Welsh Christopher M. , Cole Thomas O. , Davis Alan K. 
Published: August 2022

Abstract

Background and aims
There is growing evidence that psilocybin, a serotonergic psychedelic substance, may be useful in the treatment of substance use disorders. However, there is a lack of data on the beliefs and attitudes towards psilocybin amongst Black individuals diagnosed with Opioid Use Disorder (OUD). This study characterized psilocybin use patterns and perception of risk amongst a cohort of Black individuals diagnosed with OUD.

Methods
Using a convenience sampling approach, patients were recruited from an urban methadone treatment program and paid five dollars to complete an anonymous phone-based survey.

Results
Twenty-eight patients participated (mean age 53.8; N = 28; 35.7% female). Most (N = 23; 82.1%) had “heard of” psilocybin mushrooms before taking the survey, but only five (N = 5; 17.8%) had ever used them. More than 80% perceived a risk or were “unsure” of the risk for sixteen of the seventeen items queried about psilocybin. Approximately half (N = 15; 53.6%) were willing to try therapy incorporating psilocybin and half (N = 14; 50%) said they would be more likely to try if it were FDA approved for OUD. Most (N = 18; 64.3%) preferred to stay on methadone treatment alone, 32.1% (N = 9) wanted to try treatment with both psilocybin and methadone, and only one participant opted for psilocybin treatment without methadone.

Conclusion
Many Black individuals with Opioid Use Disorder perceive psilocybin as dangerous and may be hesitant to try psilocybin treatment. Culturally informed treatment models, educational interventions and community outreach programs should be developed to increase racial/ethnic minority representation in psilocybin research and treatment.
Air distribution in the room by swirl compact air jets at variable mode
Authors: Voznyak Orest , Myroniuk Khrystyna , Spodyniuk Nadiia , Sukholova Iryna , Dovbush Oleksandr , Kasynets Mariana 
Published: August 2022

Abstract
In this work, the actual aspect of the creation of comfortable climatic conditions indoors due to the compressed swirl compact air streams at an alternating mode is considered. The purpose of this article is the mathematical modeling of the swirl compact air jet and getting of the analytical equations for calculation air distribution in a premise at the condition of dynamic indoor climate in compressed conditions of a premise for providing comfort people well-being. A mathematical model of air supply with the swirl compact air jets in the room has been developed. A combinatorial-logarithmic method for the graphs approximating the dependence of the relative transverse velocity of a swirl compact air jet and the correction coefficient for compression and swirling on the relative transverse coordinate has been developed.
Application of enhanced coulomb models and virtual tribology in a practical study
Authors: de Carvalho Lucas A. , Lukács Zsolt 
Published: August 2022

Abstract
For the final quality of the part, metal forming trends are depending on improvements of friction and tribology. As a consequence, there is a trend in which tribology and friction are becoming increasingly important for correctly replicating the forming simulation of those parts. The objective of this work was to improve the forming simulation of an automotive shell part on AutoForm. The part was provided by a vehicle industry supplier. Enhanced Coulomb models consider a change on friction coefficient due to different factors, better approximating the description of friction to reality. For the current study, pressure and velocity dependent friction models were chosen as long as the combination of both. The virtual tribology was simulated using the software TriboForm. Velocity dependent friction model and the virtual tribology have shown similar results with expected lower coefficients of friction.
Damping Modification Factors for Horizontal and Vertical Acceleration Spectra from Offshore Ground Motions in the Japan Sagami Bay Region
Authors: Hu Jinjun , Liu Mingji , Tan Jingyang 
Published: August 2022

ABSTRACTDamping modification factors (DMFs) are used to scale the 5%-damped response spectra for the seismic design of structures with different damping ratios. However, there is no DMF model for offshore engineering response spectra at present. Using 892 offshore and 4033 onshore ground-motion records from the Kyoshin net, the difference between offshore and onshore DMFs are revealed by DMF ratios and t tests and whether site conditions need to be incorporated in offshore DMF models are determined. The between-event residual distribution shows that DMFs depend on the focal depth. The results show that the DMFs from the offshore and onshore ground motions differ significantly for most spectral periods, and the impact of the site condition on offshore DMF is very slight. The offshore DMF models for the horizontal and vertical acceleration spectra from the Japan Sagami Bay region are presented from spectra of 34 spectral periods and 10 damping ratios, in which only spectral periods and damping ratios are considered as variables. The uncertainty in the DMF model mainly depends on the path and site effects, and the standard deviations of DMFs for the vertical component are slightly less than those for the horizontal component. All standard deviations are modeled by a set of quadratic functions related to damping ratios. A comparison between the offshore DMF model in this study and those derived from onshore ground motions indicates that the differences are significant. The spectra from the Hu et al. (2020) study for offshore ground motions adjusted by the DMF models are used as our example applications.
The MyShake App: User Experience of Early Warning Delivery and Earthquake Shaking
Authors: Patel Sarina C. , Allen Richard M. 
Published: August 2022

Abstract
MyShake is a free citizen science and public safety smartphone application that delivers the United States ShakeAlert program’s Earthquake Early Warning to the public in the states of California, Oregon, and Washington. Although smartphone notifications have long been a component of the ShakeAlert warning delivery plan, very little data has been published on the efficiency and accuracy of such communication. MyShake records timestamps in its alert processing system, including the time it takes for a phone to receive and acknowledge an alert’s delivery. We use data collected for five representative earthquakes—three in urban regions, two rural events—since October 2019 to assess MyShake alert delivery latencies and ground-motion prediction accuracy. For these events, MyShake was capable of efficiently processing and delivering warnings. For the smaller urban events that occur beneath the target population, about half of recipients received a warning before the estimated onset of the S-wave, and up to 90% received an alert prior to experiencing peak shaking. When earthquakes occur further from populated areas, the warning time naturally increases. Smartphone acceleration recordings can also be used to quantify the user experience during earthquakes because they are colocated with people. A review of waveforms collected by MyShake shows a systematic amplification of shaking recorded by smartphones relative to nearby traditional stations. The median amplification calculated using records from all five sample events is a factor of 3.1. Once this correction is applied, MyShake peak accelerations are generally consistent with the distribution of shaking intensities in the U.S. Geological Survey ShakeMap product, whereas also showing some individual sites with substantial amplification and de-amplification. In addition to delivering early warnings, therefore, MyShake provides a waveform observation dataset to densify shaking intensity observations and thereby improve our understanding of earthquake effects and evaluate the accuracy of ShakeAlert’s alerting regions.
Hearing Loss Risk Factors Analysis among Gold Mining Dozer Operators
Authors: Rahmania Aisy , Rosanti Eka , Saputra Ramadhan , Taufik Muhammad Rifki 
Published: August 2022

Introduction: industrial mining activities have the highest prevalence of NIHL due to operating a heavy vehicle. Dozer is one of the heavy vehicles with a high noise level. Methods: This study was descriptive research about risk factors related to hearing loss of 28 dozer operators at PT. X. The risk factors consisted of demographic factors, working behavior (listening to music, smoking), noise levels were analyzed with hearing loss using STS. Interviews were conducted with the workers and company representatives. Hearing loss examination used an audiometric test to determine the STS of the operators with the result that positive more than 10 dB and negative at 10 dB or less. All the data is secondary. Results: noise level of all dozers exceeds the TLV (>85dB) operated for 10 hours a day and six days a week. Half of the dozer operators had STS (+) occurred at age 40 years and older, working for more than five years, not use the PPE or misused, the habit of listening to music and smoking. Conclusion: noise and demographic factors can increase the risk of hearing loss in dozer operators. The company must control by combining plywood, foam, tray, and coir material in the dozer cabin, which can reduce 31.94 dB and apply for PPE double protection.
KESWACARRI AS AN EFFORT TO INCREASE CADRE CAPABILITY FOR TREATING MENTAL DISORDERS PATIENTS IN THE MODERN INDUSTRIAL COMMUNITY 4.0
Authors: Fitryasari Rizki , Tristiana RR Dian , Windy Ariska , Kurniasari Erlina Dwi 
Published: August 2022

Introduction: The low role of mental health cadres is influenced by internal factors such as commitment, motivation and enthusiasm of cadres in helping to overcome mental disorders in the community. Commitment is the most important thing in carrying out the task. Increasing the commitment of the cadres can be done with KESWACARRI (caring mental health and spirituality) with the aim of building self-commitment using a caring and spirituality approach.
Methods: This study used pre-experimental design. The sample of was 30 cadres and caregivers who responsible for mental health patients in Ketidur Village, Mojokerto. The variable measured included commitment, caring and spirituality. The data was collected using questionnaire and the analyzed using SPSS to see the frequency distribution. Keswaccari was given to the cadres by providing material about develop caring behavior with spirituality.
Results: The results showed, the level of commitment, caring and spirituality of mental health cadres in 30 respondent’s majority was increasing. These results indicate that there is an influence of Keswaccari to commitment, caring and spirituality.
Conclusion: Commitment was an important aspect for increasing caring behavior. The spirituality will be a good approach to build cadres’ awareness of mental disorder condition and have a good effect in caring behavior.
Periprosthetic Osteolysis as a Risk Factor for Revision After Total Ankle Arthroplasty
Authors: Lee Gun-Woo , Lee Keun-Bae 
Published: August 2022

Background:
Periprosthetic osteolysis after total ankle arthroplasty (TAA) is a challenging problem. This study aimed to evaluate the prevalence of and predisposing factors for osteolysis and its effects on clinical outcomes.

Methods:
We enrolled 236 patients (250 ankles) who underwent primary TAA using a mobile-bearing HINTEGRA prosthesis, with a mean follow-up of 83.5 months (range, 36 to 182 months), and subsequently divided them into 2 groups: the osteolysis group (79 ankles) and non-osteolysis group (171 ankles). Clinical and radiographic outcomes were compared between the 2 groups, and a bivariable logistic regression analysis was performed to identify predisposing factors for the development of osteolysis.

Results:
In the osteolysis group (31.6% of the 250 ankles), the mean time of detection was 28.8 months postoperatively. Forty of these ankles were closely monitored without surgical treatment. Another 29 ankles underwent bone grafting and exchange of the polyethylene inlay, and the remaining 10 ankles underwent revision TAA or arthrodesis. All clinical outcome variables were significantly lower in patients with osteolysis, compared with those without osteolysis, at the final follow-up (p < 0.05). In the investigation of predisposing factors, only rheumatoid arthritis was identified as having a significant association with an increased prevalence of osteolysis (p = 0.030).

Conclusions:
This study demonstrated that the prevalence of periprosthetic osteolysis after TAA was considerable and that the development of osteolysis negatively affected the clinical outcome. Therefore, the prevention and appropriate treatment of osteolysis are crucial for the satisfactory long-term survival of TAA.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Petrogenesis of Paleozoic–Early Mesozoic Granites and Pegmatites in the Yuechengling Pluton of South China
Authors: Liu Xiao , Liu Xi-Jun , Fu Wei , Shi Yu , Guo Jing-Lian , Hu Rong-Guo , Zhao Chuan , Feng Meng , Li Zheng-Lin , Qin Xianzhu 
Published: August 2022

Abstract
Although pegmatites are volumetrically minor in the upper continental crust, these rocks host abundant rare metal deposits (e.g., Li, Be, Rb, Ta, and Nb). Pegmatites can be formed either by extensive fractional crystallization of granitic magmas or by low-degree partial melting of metasedimentary rocks. The Mao’ershan–Yuechengling composite batholith in the Nanling Range in the South China Block (SCB) is of early Paleozoic–Triassic age (440–381 and 236–204 Ma, respectively). Recently, hundreds of pegmatites associated with Nb, Ta, Be, Rb, and Li mineralization have been identified in this batholith. These pegmatites are hosted by granitic wall rocks. However, the relationships between the pegmatites and granitic wall rocks are not well constrained. To address this, we investigated the Mao’antang (MAT) and Tongzuo (TZ) pegmatites and their biotite granite wall rocks in the middle part of the Yuechengling pluton. Laser ablation inductively coupled plasma mass spectrometry zircon U–Pb ages revealed that the MAT pegmatites formed during the Permian (269 Ma) and Triassic (231 Ma) and that the MAT biotite granite wall rock records two stages of magmatic activity (271 and 231 Ma) that are coeval with the pegmatites. The TZ pegmatites probably formed during the Triassic (235 Ma), and the TZ biotite granite wall rock formed during the Silurian (435 Ma). The MAT biotite granite and pegmatites (εNdt=−12.0 to −10.6; εHft=−8.0 to −1.0), TZ pegmatites (εNdt=−10.4 to −6.1), and TZ biotite granites (εNdt=−9.1 to −8.7; εHft=−7.7 to −4.1) have enriched whole-rock Nd and zircon Hf isotopic compositions that are similar to those of early Paleozoic and Triassic S-type granites in the SCB. In addition, the whole-rock Pb isotopic compositions of the MAT and TZ pegmatites and granites are distributed along the upper crust evolution line. We suggest that the MAT and TZ biotite granites were mainly derived from Paleoproterozoic metasedimentary rocks in the middle crust. The MAT pegmatites are fractional crystallization products of the MAT biotite granites, whereas the TZ pegmatites were formed by fractional crystallization of hidden parental S-type granites. We propose that the MAT and TZ pegmatites have potential for rare metal (Nb, Ta, Be, and Li) mineralization, as they record high degrees of fractional crystallization. The MAT and TZ areas in the middle of the Yuechengling pluton are promising targets for rare metal exploration.
A Machine Learning Approach to Real-Time Uncertainty Assessment of SAGD Forecasts
Authors: Hunyinbo Seyide , Azom Prince , Ben-Zvi Amos , Y. Leung Juliana 
Published: August 2022

Summary
Field development planning and economic analysis require reliable forecasting of bitumen production. Forecasting at the field level may be done using reservoir simulations, type curve analysis, and other (semi-)analytical techniques. Performing reservoir simulation is usually computationally expensive, and the nonuniqueness of a history-matched solution leads to uncertainty in the model predictions and production forecasts. Analytical proxies, such as Butler’s model and its various improvements, allow for sensitivity studies on input parameters and forecasting under multiple operational scenarios and geostatistical realizations to be conducted rather quickly, despite being less accurate than reservoir simulation. Similar to their reservoir simulation counterparts, proxy models can also be tuned or updated as more data are obtained. Type curves also facilitate efficient reservoir performance prediction; however, in practice, the performance of many steam-assisted gravity drainage (SAGD) well pairs tends to deviate from a set of predefined type curves.
Historical well data is a digital asset that can be utilized to develop machine learning (ML) or data-driven models for production forecasting. These models involve lower computational effort than numerical simulators and can offer better accuracy compared to proxy models based on Butler’s equation. Furthermore, these data-driven models can be used for automated optimization, quantification of geological uncertainties, and “What If” scenario analysis due to their lower computational cost.
This paper presents a novel ML workflow that includes a predictive model development using the random forest algorithm, clustering (to group well pairs by geological properties), Bayesian updating, and Monte Carlo sampling (for uncertainty quatification) for the forecasting of real-world SAGD injection and production data. The training data set consists of field data from 152 well pairs, including approximately 3 years of operational data. Each well pair’s data set involves data that are typically available for an SAGD well pair (e.g., operational data, geological, and well design parameters). This ML workflow can update predictions in real time and be applied for quantifying the uncertainties associated with the forecasts, making it an important step for development planning. To the best of the author’s knowledge, this is the first time ML algorithms have been applied to an SAGD field data set of this size.
Observation Lateral Project: Direct Measurement of Far-Field Drainage in the Bakken
Authors: Cipolla Craig , Wolters Jennifer , McKimmy Michael , Miranda Carlos , Hari-Roy Stephanie , Kechemir Aicha , Gupta Nupur 
Published: August 2022

Summary
In 2019, the operator embarked on a very ambitious data acquisition project in the Bakken, with the goal of mapping far-field drainage and characterizing completion performance. The project consisted of a six-well pad (10,000 ft laterals) with a dedicated observation lateral located in the Three Forks (TF) formation instrumented with cemented pressure gauges and fiber optics along the 10,000 ft lateral. The observation lateral was offset by Middle Bakken (MB) wells ~450 ft on either side (~900 ft MB-MB well spacing). One of the MB wells was instrumented with fiber optics for cluster-level completion measurements and “frac hit” detection, while the other offset MB well was used to deploy geophones for microseismic mapping. Three different fracture treatment designs were evaluated, with the goal of understanding how fluid volume and rheology, proppant volume and size, and proppant/fluid ratio affect fracture geometry and drainage. Quantitative application of oil and water tracers was used to evaluate the productivity of each treatment design.
During the completions of the first three wells, microseismic data provided important measurements to characterize fracture geometry and “offset well” fiber provided strain data to evaluate fracture morphology (i.e., far-field fracture behavior). Stress shadowing was evaluated by combining the microseismic and strain data. These measurements were used to calibrate a hydraulic fracture model to enable more reliable predictions of fracture geometry and morphology. Cluster-level measurements of fluid distribution provided data to support increasing clusters per stage and decreasing stage count. Production has been monitored continuously for more than 12 months, including interference testing to evaluate connectivity. The pressure gauges placed along the observation lateral provided one of the first-ever measurements of far-field drainage as a function of fracture treatment design (450 ft in between two producing wells with 900 ft well spacing).
The results show that MB wells can drain the TF at distances of 450 ft, and fracture treatment design can significantly impact drainage and productivity. Although the evaluation, modeling, and trials are ongoing, these results may add significant value by enabling Bakken development with fewer, more productive wells in some portions of the basin.