bluuebunny/crossref_metadata_2025_split huggingface dataset:
Well-Test Logging Allows Low-Cost Dynamic Characterization, Value Optimization
Authors: Carpenter Chris 
Published: March 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 206177, “Piloting the First Well-Test Logging in the Middle East, Paving the Way to Low-Cost Dynamic Reservoir Characterization and Well-Value Optimization,” by Raymond Nguyen, SPE, ADNOC, and Antoine Jacques and Vincent Jaffrezic, SPE, TotalEnergies, et al. The paper has not been peer reviewed.
The development of carbonate reservoirs in a giant field offshore Abu Dhabi requires long horizontal wells but carries the risk of unwanted gas and water channeling through its inherent heterogeneities. Success depends heavily on the quality of the formation knowledge before completion. Well-testing logging (WTL) offers the advantage of recording a log of mobility at the end of the process of drilling the openhole, enabling favorable timing to influence adapted completion and stimulation design.

Field and Geological Background
The studied field is northwest of Abu Dhabi. It has a gently dipping domal asymmetric anticline structure. Two reservoirs of interest are discussed in the complete paper, the first characterized as Early Cretaceous and the second as Upper Jurassic. The first of these, Formation K, is separated into two thick segments, Upper K and Lower K, divided by a laterally continuous stylolitic boundary, representing one-third and two-thirds of total K thickness, respectively. Upper K has a depositional setting of foreshoal to shoal, whereas Lower K has a depositional setting of a middle ramp environment with moderate water depth, mainly consisting of argillaceous material.
Within the Upper Jurassic group, the formation of study was deposited in a multiple regressive cycle and can be divided into four major stratigraphic layers, the shallowest being A_1 and the deepest being A_4. Each of these layers has its own unique petrophysical properties; however, the complete paper focuses on a sublayer within A_1. Because of the cyclic pattern of sea-level fluctuations at shallow depths, the main depositional lithologies were limestone, dolomite, and anhydrite, with limestone and dolomite being the reservoir and anhydrite acting as the seal. The average thickness represents approximately a tenth of the formation’s thickness.
The development scheme of the tighter reservoirs, K and A_1, in the coming years is based on patterns of parallel horizontal oil producers and water injectors to bring closer pressure support. Pattern development is directly affected by heterogeneity that could cause premature water breakthrough. Enhanced conformance with customized completion design and selective stimulation can mitigate these phenomena. These developments have been piloted recently with the drilling of long horizontal producers, Well_1 in K and Well_2 in A_1. The WTL technology was piloted for the first time in the Middle East in these wells.
Technique Detects Well Interference Using Long-Term Pressure Data
Authors: Carpenter Chris 
Published: March 2022

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 206354, “Well-Interference Detection From Long-Term Pressure Data Using Machine Learning and Multiresolution Analysis,” by Dante Orta Aleman, SPE, and Roland Horne, SPE, Stanford University. The paper has not been peer reviewed.
Methods such as interference tests and tracers have been developed to obtain knowledge of reservoir heterogeneity and connectivity from dynamic data. However, detecting well connectivity using interference tests requires long periods with stable reservoir pressure and constant flow-rate conditions. Conversely, the long duration and high frequency of well-production data have high value for detecting connectivity if noise, abrupt changes in flow rate, and missing data are considered. In this work, a methodology to detect interference from long-term pressure and flow-rate data was developed using multiresolution analysis in combination with machine-learning algorithms.
Introduction
Multiple methodologies have been proposed to detect well connectivity using production data. Most such methods apply a statistical or physical model to relate production and injection rates. In previous works, pressure data rarely has been used and data were fitted to a predefined mathematical model with strong physical assumptions. The approach of the current work is to infer connectivity by estimating the pressure response of a well to a second “interfering” well. Because the pressure response at a given well is the convolution of all the connected wells’ flow rates with the reservoir response, the methodology attempts to deconvolve the flow rates and assign a pressure response to each.
Previous work showed that, by using wavelet decomposition and deep learning, capture of the pressure response of a single well using only flow-rate data as input is possible. The complete paper expands on the idea of using the multiresolution properties of wavelets to simplify the flow-rate/pressure response of more than one well and to capture that response by using a machine-learning model with a flexible function representation.
Preventive effects of a single bout of exercise on memory and attention following one night of sleep loss: results of a randomised controlled study
Authors: Fleckenstein Johannes , Gerten Sina , Banzer Winfried 
Published: March 2022

Abstract
Sleep-loss is a severe problem in night-shift workers. It causes fatigue and a decrease in awareness that may be counter-acted by exercise. This randomised controlled study in 22 university students investigated the effects of exercise to prevent loss of cognitive and physical performance following sleep deprivation. We were comparing a single bout of a 20-minutes circuit training to control in an experimental setting of overnight sleep loss. Outcomes included memory, cognitive tasks, and physical parameters. The occurrence of false memories was considered being the main outcome.Exercise did not exert significant effects on false memories (p = 0.456). We could detect a trend to significance (p < 0.01) assessing cognitive dimensions, i.e. selective and sustained attention, and visual scanning speed. This revealed strong effects of exercise on attention (p = 0.091; Cohen’s d = 0.76; ∆14%), cognitive performance, performance speed, and perceived sleepiness (p = 0.008; d = 0.60; ∆2.4 cmVAS). This study failed to show effects of exercise on memory function. Still, medium to strong effects on attention and consciousness can be considered clinically relevant. The results of this study encourage further research to determine its practicability and meaningfulness among night-shift workers.Trial registration: German Clinical Trials Register, DRKS00010655, registered 21. June 2016.
Cold stress induces colitis-like phenotypes in mice by altering gut microbiota and metabolites
Authors: Sun Lijuan , Chen Yue , Song Jianxia , Yuan Qiangqiang , Wang Xueying , Zhao Yu , Liang Changting , Zhang Haohao , Lian Bo , Zhang Jianbin 
Published: March 2022

Abstract
Objective: The westernized lifestyle has been paralleled by an epidemic of inflammatory bowel disease (IBD). Excessive consumption of cold beverages is especially common among the modern humans. However, whether cold stress contributes directly to the gut barrier and gut-brain axis is not clear. We investigated whether the cold stress affect gut inflammation or not.Material: 16 male mice were used in this study.Treatment: The mice were treated with 14 consecutive days of intragastric cold or common water administration. Methods: We observed changes in gut transit and gut barrier in the colon.We also employed RNA sequencing-based transcriptomic analysis to identify the genes potentially driving gut injury, and simultaneously examined the gut microbiota and metabolites in the feces. Results: Cold stress inhibited the colonic motility and increased gut permeability. A set of core genes related to immune responses were consistently overexpressed in the cold stress group. Additionally, cold stress induced decreased bacterial diversity, ecological network, and increased pathogens mainly belonging to Proteobacteria. The dopamine signaling pathway-related metabolites were largely reduced in the cold stress group.Conclusion: This study revealed that cold stress could trigger an IBD-like phenotype in mice, implying that cold stress is a possible risk factor for IBD development.
A Functional Interaction Between Y674-R685 Region of the SARS-CoV-2 Spike Protein and the Human α7 Nicotinic Receptor
Authors: Chrestia Juan Facundo , Oliveira Ana Sofia , Mulholland Adrian J. , Gallagher Timothy , Bermúdez Isabel , Bouzat Cecilia 
Published: March 2022

Abstract
The α7 nicotinic acetylcholine receptor (nAChR) is present in neuronal and non-neuronal cells and has anti-inflammatory actions. Molecular dynamics simulations suggested that α7 nAChR interacts with a region of the SARS-CoV-2 spike protein (S), and a potential contribution of nAChRs to COVID-19 pathophysiology has been proposed. We applied whole-cell and single-channel recordings to determine whether the Y674-R685 region of the S protein can directly affect α7 nAChR function. The S fragment exerts a dual effect, acting as a low-efficacy agonist and a non-competitive inhibitor. It activates α7 nAChRs, in line with our previous molecular dynamics simulations showing favorable binding of this accessible region of the S protein to the nAChR agonist binding site. However, activation requires the presence of positive allosteric modulators that enhance open probability, indicating very low efficacy. The main effect of the S fragment on α7 nAChR is a negative modulation, which is evidenced by a profound decrease in the durations of channel openings and activation episodes and in the amplitude of macroscopic responses elicited by ACh. Our study identifies a novel functional interaction between α7 nAChR and a region of the S protein, thus providing molecular foundations for exploring the involvement of nAChRs in COVID-19 pathophysiology.
Prognostic significance of antifibrotic agents in idiopathic pulmonary fibrosis after initiation of long-term oxygen therapy
Authors: Ishiwari Mayuko , Kono Yuta , Togashi Yuki , Takoi Hiroyuki , Kikuchi Ryota , Toriyama Kazutoshi , Okuma Takashi , Shioiri Nao , Mizushima Reimi , Abe Shinji 
Published: March 2022

Abstract
Background:Idiopathic pulmonary fibrosis (IPF) is a fatal and progressive interstitial lung disease with varying degrees of hypoxemia. Long-term oxygen therapy (LTOT) is frequently used to treat hypoxemia, however the prognostic factors for better survival in IPF patients after initiation of LTOT remain unknown.Methods:We retrospectively investigated favorable factors of survival in 52 IPF patients who were introduced LTOT.Results:The 6-, 12-, and 24-month survival rates in IPF patients after introduction of LTOT were 72.8%, 48.3%, and 28.9%, respectively. Univariate analysis demonstrated that gender female (hazard ratio [HR] 7.394, p=0.049) and treatment with antifibrotic agents (HR 2.285, p=0.022) were associated with favorable survival, while multivariate analysis revealed that treatment with antifibrotic agents was the independent predictor (HR 2.121, p=0.037). Moreover, IPF patients treated with antifibrotic agents with LTOT had significantly longer survival than those without antifibrotic agents (p = 0.0165). Conclusion:In IPF patients who were introduced LTOT, treatment with antifibrotic agents was the independent factor for favorable survival. Continuous treatment with antifibrotic agents may improve prognosis of IPF even after initiation of LTOT.
Effect of ellagic acid and mesocarp extract of Punica granatum on productive and reproductive performance of Gallus gallus
Authors: Gul Haji , Geng Zhaoyu , Habib Gul , Hayat Azam , Rehman Mujaddad Ur , Khan Imran 
Published: March 2022

Abstract
In the present study, we determined the potential effects of ellagic acid and mesocarp extract of Punica granatum on the productive and reproduction performance of laying hens. Five treatments groups were setup: (1) control group (without ellagic acid), (2) 50 mg of ellagic acid, (3) 100 mg of ellagic acid, (4) 200 mg of ellagic acid, and (5) mesocarp extract of P. granatum. All the groups were investigated for feed intake, body weight, egg production, egg quality, fertility, hatchability, antioxidant status of serum and liver, lipid peroxidation, and antibacterial activities. Egg production, feed intake and body weight were significantly increased (p < 0.05) with 100 mg of ellagic acid and P. granatum extract while no significant effect was observed on albumen and yolk weight, yolk index, yolk color, egg-shape index, and Hough unit. Both ellagic acid and P. granatum extract significantly improved hatchability while 100 and 200 mg/kg of ellagic acid numerically decrease fertility. Besides, ellagic acid and P. granatum extract significantly decreased malondialdehyde concentration and increased total antioxidant capacity, glutathione peroxidase, and total superoxide dismutase in serum and liver samples of laying hens (p < 0.05). The lipid peroxidation was decreased among the treatments groups, with 100 mg of ellagic acid and P. granatum extract showed the best activity. Moreover, ellagic acid showed strong killing activity against Escherichia coli and Staphylococcus aureus while it was ineffective against methicillin-resistant S. aureus. Our results conclude that ellagic acid and P. granatum promotes egg production, hatchability, and antioxidant enzymes activities of the Gallus gallus.
Impact of the nursing comprehensive skill training course (NCST-C) on nursing students' metacognitive awareness: A quasi-experimental study
Authors: li shasha , De Ala Minerva B. , Mao Dandan , Wang Afeng , Wu Congwen 
Published: March 2022

Abstract
Background: Developing students’ metacognition awareness is a goal of university education as it can help equip students with life-long learning skills and promote holistic personal development. This study aimed to explore the effect of nursing comprehensive skill training course (NCST-C) on metacognitive awareness of nursing students in China, to provide a scientific foundation for improving metacognitive awareness.Design: A quasi-experimental two-group, matched pretest, post-test, and follow-up test.Methods: A total of 96 Junior nursing students were recruited using a convenience sampling and assigned to 2 groups by drawing lots with odd and even numbers in a nursing school at Huzhou University, China. The control group was received the traditional skill-training course. The intervention group was received training in NCST-C. Nursing students were evaluated metacognitive awareness inventory (MAI) at the baseline, 16-week, and 20-week follow-up points, respectively. A repeated-measures, two-way analysis of variance, and a simple effect test were used to compare each outcome measure of 2 groups.Results: The NCST-C resulted in a greater benefit for nursing students’ metacognition awareness and various dimensions (knowledge of cognition and regulation of cognition) in the intervention group. Combined with a simple effects test, the MAI and dimensions scores of those in the intervention groups significantly improved at 16 weeks after the baseline (F = 44.03-9.78); all P <0.01); and the sustainable effect of NCST-C lasted for 1 month after the intervention (F = 14.24-56.75, all P <0.01), which reached statistical significance (P < 0.05).Conclusions: The NCST-C was an effective course to develop metacognition awareness of nursing students,which design provides a new form of experimental course to improve metacognition awareness.Trial registration: http://www.chictr.org.cn/listbycreater.aspxRegistration number:ChiCTR2200057910. First registration date 22/3/2022
Experiences of family members when a parent is hospitalized for their mental illness: A qualitative systematic review
Authors: Tchernegovski Phillip , Reupert Andrea , Chen Lingling , Huddle Maddison 
Published: March 2022

Abstract
Background: A considerable proportion of people attending mental health services are parents. Parental mental illness can be challenging for all family members and potentially poses a risk to children’s wellbeing. The hospitalization of the parent and subsequent separation from children may be a particularly challenging time. The aim of this paper was to review qualitative studies of family members’ experiences when parents were hospitalized for their mental illness. Methods: This systematic review followed Cochrane Collaboration and PRISMA guidelines. A search was performed with keywords relating to parents, mental illness, psychiatric treatment, inpatient units, family members and experiences. Databases included CINAHL Plus, PsycINFO, ProQuest, MEDLINE, PubMed and Scopus. Quality assessment was undertaken using an expanded version of the Critical Appraisal Skills Programme. Thematic synthesis was conducted on the included papers. Results: Eight papers were identified. The quality of these papers ranged between low/medium and high. Themes within the findings related to experiences of pressure and responsibility, the need for information and guidance, children’s emotional needs, and the parent-child bond while hospitalized.Conclusion: The limited research in this area indicates that the needs of families are not being met when a parent is hospitalized for their mental illness. There is a considerable need for adequate models of care, family-focused training for staff, and psychoeducational resources for families. Additional research in this area is essential to understand the experiences of different family members during this vulnerable time.
Opt-in and opt-out consent procedures for the reuse of routinely recorded health data in scientific research and their consequences for consent rate and consent bias– A systematic review
Authors: de Man Yvonne , Jorna Y , Torensma B , de Wit K , Veen E. B van , Francke A. L , Oosterveld-Vlug M. G. , Verheij R. A 
Published: March 2022

Abstract
Background
Scientific researchers who wish to reuse health data pertaining to individuals can obtain consent through an opt-in procedure or opt-out procedure. The choice of procedure may have consequences for the consent rate and representativeness of the study sample, and the quality of the research, but these consequences are not well known. Therefore, this review aims to provide insight into the consequences for the consent rate and consent bias of the study sample of opt-in procedures versus opt-out procedures for the reuse of routinely recorded health data for scientific research purposes.
Method
A systematic review was performed, based on searches in PubMed, Embase, Cinahl, PsycInfo, Web of Science Core Collection, and the Cochrane Library. Two reviewers independently included studies based on predefined eligibility criteria and assessed whether the statistical methods used in the reviewed literature were appropriate for describing the differences between consenters and non-consenters. Statistical pooling and a narrative synthesis were conducted to report results.
Results
Fifteen studies were included. Of these, 13 implemented an opt-in procedure, one implemented an opt-out procedure, and one implemented both. The average weighted consent rates were 84.0% among the studies that used opt-in and 96.8% in the single study that used opt-out. In the single study that described both procedures, the consent rate was 21.0% in the opt-in group and 95.6% in the opt-out group. Opt-in procedures resulted in more consent bias compared to opt-out procedures. In studies with opt-in, consenting individuals were more likely to be men, had a higher level of education, a higher income, and a higher socioeconomic status.
Conclusion
Consent rates are generally lower when using an opt-in procedure compared to using an opt-out procedure. Furthermore, in studies with opt-in, participants are less representative of the study population. However, both the study populations and the way in which opt-in or opt-out was organized, varied widely between the studies, which makes it difficult to draw general conclusions regarding the desired balance between patient control over data and learning from patient data. Such further use may be hampered by administrative burdens and the risk of bias.
Research on Energy Efficiency Characteristics of Mining Shovel Hoisting and Slewing System Driven by Hydraulic-Electric Hybrid System
Authors: Wang Xiangyu , Ge Lei , Li Yunhua , Quan Long 
Published: March 2022

Abstract
Mining shovel has been the most critical equipment for high-efficiency production in open-pit mining, it adopts electric motor to drive hoisting and slewing system separately. However, in the process of falling the hoisting device and decelerating the slewing platform, the driving motors are in the power generation state, and the electric energy is dissipated in the form of heat energy through the braking resistor, which causes a large amount of energy waste. To achieve energy saving, this article proposes a novel hydraulic-electric hybrid driving system. In the proposed system, the auxiliary hydraulic system is used to store the energy generated by the motor in the form of hydraulic accumulator pressure. When the hoisting system lifts or slewing platform accelerates, the energy is reused to assist the motor in the form of supporting torque. The recovery and reuse of the dynamic potential energy of the shovel can reduce the energy loss and installed power of the driving motor. In addition, the additional supporting torque also increases the safety of the pure electric drive system. In this paper, firstly, the hydraulic-electric hybrid driving principle is introduced. Then, a small-scale testbed is set up to verify the feasibility of the system. Finally, a co-simulation model of the proposed system is established to clarify the system operation and energy consumption characteristics, and to analyze the impact of different parameters of key energy storage components on system performance. Through the test and simulation of the proposed system, compared with the traditional purely electric driving system, the peak power and energy consumption of the hoisting motor are reduced by 36.7% and 29.7%, and those of the slewing motor are decreased by 86.9% and 59.4%, respectively.
Real-Time Gait Phase Detection on Wearable Devices for Unsupervised Gait
Authors: Wu Jiaen , Becsek Barna , Schaer Alessandro , Maurenbrecher Henrik , Chatzipirpiridis George , Ergeneman Olgac , Pané Salvador , Torun Hamdi , Nelson Bradley 
Published: March 2022

Abstract
Detecting gait phases unobtrusively and reliablyin real-time for long-term unsupervised walking isimportant for clinical gait rehabilitation and early diagnosisof neurological diseases. Due to hardware limitations inwearable devices (e.g., memory and computation power),reliable real-time gait phase detection remains a challengefor unsupervised mobility assessment. In this work, a hybridalgorithm combining a reduced support vector machine(RSVM) and a finite state machine (FSM) is developedto address this. K-means clustering is used to reduce thenumber of support vectors (SVs) by constructing a smallerdataset that contains the most informative data points.For each gait phase prediction, an FSM is designed tovalidate the prediction and correct misclassifications. AfterSV reduction, the model size is reduced by 88%, and thecomputation time is reduced by a factor of 36, with onlya minor degradation in prediction performance of 4.12%,2.34%, and 4.85% for sensitivity, specificity, and accuracy,respectively. The real-time classification performance of thealgorithm is evaluated by twenty healthy subjects walkingalong a predefined route with unsupervised free-living gait.The proposed algorithm demonstrated promising real-timeperformance, with an accuracy of 91.51%, a sensitivity of91.70%, and a specificity of 95.77% across all test subjects.The algorithm also demonstrated its robustness with respectto different values of walking speed, cadence, andstride length.