bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Progressed and Nonprogressed Volume-Based Overload Plyometric Training on Components of Physical Fitness and Body Composition Variables in Youth Male Basketball Players
Authors: Palma-Muñoz Ignacio , Ramírez-Campillo Rodrigo , Azocar-Gallardo Jairo , Álvarez Cristian , Asadi Abbas , Moran Jason , Chaabene Helmi 
Published: November 2018

Abstract
Palma-Muñoz, I, Ramírez-Campillo, R, Azocar-Gallardo, J, Álvarez, C, Asadi, A, Moran, J, and Chaabene, H. Effects of progressed and nonprogressed volume-based overload plyometric training on components of physical fitness and body composition variables in youth male basketball players. J Strength Cond Res 35(6): 1642–1649, 2021—This study examined the effect of 6 weeks of progressed and nonprogressed volume-based overload plyometric training (PT) on components of physical fitness and body composition measures in young male basketball players, compared with an active control group. Subjects were randomly assigned to a progressed PT (PPT, n = 7; age = 14.6 ± 1.1 years), a non-PPT (NPPT, n = 8, age = 13.8 ± 2.0 years), or a control group (CG, n = 7, age = 14.0 ± 2.0 years). Before and after training, body composition measures (muscle mass and fat mass), countermovement jump with arms (CMJA) and countermovement jump without arms (CMJ), horizontal bilateral (HCMJ) and unilateral jump with right leg (RJ) and left leg (LJ), 20-cm drop jump (DJ20), sprint speed (10 m sprint), and change of direction speed (CODS [i.e., T-test]) were tested. Significant effects of time were observed for muscle and fat mass, all jump measures, and CODS (all p < 0.01; d = 0.37–0.83). Significant training group × time interactions were observed for all jump measures (all p < 0.05; d = 0.24–0.41). Post hoc analyses revealed significant pre-post performance improvements for the PPT (RJ and LJ: ∆18.6%, d = 0.8 and ∆22.7%, d = 0.9, respectively; HCMJ: ∆16.4%, d = 0.8; CMJ: ∆22.4%, d = 0.7; CMJA: ∆23.3%, d = 0.7; and DJ20: ∆39.7%, d = 1.1) and for the NPPT group (LJ: ∆14.1%, d = 0.4; DJ20: ∆32.9%, d = 0.8) with greater changes after PPT compared with NPPT for all jump measures (all p < 0.05; d = 0.21–0.81). The training efficiency was greater (p < 0.05; d = 0.22) after PPT (0.015% per jump) compared with NPPT (0.0053% per-jump). The PPT induced larger performance improvements on measures of physical fitness as compared to NPPT. Therefore, in-season progressive volume-based overload PT in young male basketball players is recommended.
Intellectual Disability in Children Conceived Using Assisted Reproductive Technology
Authors: Hansen Michele , Greenop Kathryn R. , Bourke Jenny , Baynam Gareth , Hart Roger J. , Leonard Helen 
Published: November 2018

OBJECTIVES:
To examine whether children conceived using assisted reproductive technology (ART) have a higher risk of intellectual disability (ID) compared with non–ART-conceived children and describe known causes of ID in these groups.

METHODS:
We linked ID and ART data from population-based registers in Western Australia. Our cohort included live births from 1994 to 2002 (n = 210 627) with at least 8 years of follow-up. The prevalence of ID was compared between ART- and non–ART-conceived children, and risk of ID was estimated using Poisson regression with robust SEs. We also stratified by plurality and gestation at delivery.

RESULTS:
Children conceived using ART had a small increased risk of ID (risk ratio 1.58; 95% confidence interval 1.19–2.11) even when analyses were restricted to singleton births (risk ratio 1.56; 95% confidence interval 1.10–2.21). The risk of ID was more than doubled for those born very preterm, for severe ID, and after intracytoplasmic sperm injection (ICSI) treatments. Children conceived using ICSI had a greater risk of ID than those conceived using in vitro fertilization and were more likely to have a known genetic cause for ID (27.6% vs 12.9% in vitro fertilization and 11.9% non-ART).

CONCLUSIONS:
The risk of ID was increased in children born after ART in Western Australia from 1994 to 2002. More recent cohorts should be examined to assess the impact of important changes in ART clinical practice. Our results are particularly pertinent because multiple embryo transfers are routinely performed in many countries, increasing the risk of preterm birth, and ICSI use rates are high.
Helyidentitás mint identitásorientáció?
Authors: Berze Iván Zsolt , Dúll Andrea 
Published: November 2018

Kutatásunkban a helyidentitás
elméletét új megközelítésként az identitásorientációkra vonatkozó
elképzelésekkel kapcsoltuk össze. Azt feltételeztük, hogy a helyidentitás
mérhető identitásorientációként, tehát értelmezhető és megbízhatóan
mérhető egyéni különbségeket találunk abban, hogy a helyekkel kiépített
kapcsolat milyen mértékben fontos a személyek számára önmaguk meghatározásában.
Feltételeztük továbbá, hogy a vizsgálat keretéül szolgáló eredeti,
angol nyelvű kérdőív (AIQ-IV, Cheek, Smith és Tropp, 2002) magyarra
fordított változata az általunk használt mintán alkalmas az identitásorientációk
mérésére.
Módszer: Feltételezésünk vizsgálatához az AIQ-IV kérdőív
magyarra fordított változatát használtuk, amelybe beillesztettük az
általunk a szakirodalom alapján megfogalmazott, helyidentitásra vonatkozó
tételeket. A kérdőívet három változatban egyetemista mintákon (n =
318, 317, 281) teszteltük, majd az adatok alapján mindhárom esetben
faktoranalízist végeztünk. A második változat az első verzió eredményei
alapján elvégzett módosítások révén született. Az első változatot
a helyekre vonatkozó tételek nélkül is teszteltük, hogy megvizsgáljuk,
a helyekre vonatkozó tételek módosították-e az eredeti kérdőív integritását.
Eredmények: A helyekre vonatkozó tételek egy faktorba rendeződtek,
a skála statisztikai mutatói megfelelőek, a kitöltők a helyekre vonatkozó
tételeket tudták értelmezni önmaguk meghatározásával kapcsolatban.
A kitöltők által a skálán elért pontszámok normál eloszlást követtek.
Ugyanakkor a kérdőív második változatának faktorstruktúrája sem fedte
pontosan az eredeti kérdőív skáláit.
Következtetések: A kapott
eredmények hozzájárulnak a helyidentitás fogalmának árnyaltabb értelmezéséhez.
Tervezzük a második változat eredményei alapján módosított újabb változat
nagy elemszámú, más életkorú, nem egyetemista mintán történő felvételét.
Integration of Support Vector Regression With Distributed Gauss-Newton Optimization Method and Its Applications to the Uncertainty Assessment of Unconventional Assets
Authors: Guo Zhenyu , Chen Chaohui , Gao Guohua , Cao Richard , Li Ruijian , Liu Chunlei 
Published: November 2018

Summary
Reservoir model parameters generally have very large uncertainty ranges, and need to be calibrated by history matching (HM) available production data. Properly assessing the uncertainty of production forecasts (e.g., with an ensemble of calibrated models that are conditioned to production data) has a direct impact on business decision making. It requires performing numerous reservoir simulations on a distributed computing environment. Because of the current low-oil-price environment, it is demanding to reduce the computational cost of generating multiple realizations of history-matched models without compromising forecasting quality. To solve this challenge, a novel and more efficient optimization method (referred to as SVR-DGN) is proposed in this paper, by replacing the less accurate linear proxy of the distributed Gauss-Newton (DGN) optimization method (referred to as L-DGN) with a more accurate response-surface model of support vector regression (SVR).
Resembling L-DGN, the proposed SVR-DGN optimization method can be applied to find multiple local minima of the objective function in parallel. In each iteration, SVR-DGN proposes an ensemble of search points or reservoir-simulation models, and the flow responses of these reservoir models are simulated on high-performance-computing (HPC) clusters concurrently. All successfully simulated cases are recorded in a training data set. Then, an SVR proxy is constructed for each simulated response using all training data points available in the training data set. Finally, the sensitivity matrix at any point can be calculated analytically by differentiating the SVR models. SVR-DGN computes more-accurate sensitivity matrices, proposes better search points, and converges faster than L-DGN.
The quality of the SVR proxy is validated with a toy problem. The proposed method is applied to a real field HM example of a Permian liquid-rich shale reservoir. The uncertain parameters include reservoir static properties, hydraulic-fracture properties, and parameters defining relative permeability curves. The performance of the proposed SVR-DGN optimization method is compared with the L-DGN optimizer and the hybrid Gauss-Newton with a direct-pattern-search (GN-DPS) optimizer, using the same real field example. Our numerical tests indicate that the SVR-DGN optimizer can find better solutions with smaller values of the objective function and with a less computational cost (approximately one-third of L-DGN and 1/30 of GN-DPS). Finally, the proposed method is applied to generate multiple conditional realizations for the uncertainty quantification of production forecasts.
Sampling a Stimulated Rock Volume: An Eagle Ford Example
Authors: Raterman Kevin T. , Farrell Helen E. , Mora Oscar S. , Janssen Aaron L. , Gomez Gustavo A. , Busetti Seth , McEwen Jamie , Friehauf Kyle , Rutherford James , Reid Ray , Jin Ge , Roy Baishali , Warren Mark 
Published: November 2018

SummaryBetween 2014 and 2016, ConocoPhillips drilled five deviated wells adjacent to a multistage, stimulated horizontal producer to sample the physical characteristics of the reservoir stimulation caused by hydraulic fracturing in the Eagle Ford Formation in DeWitt County, Texas. The design, execution, and results of the pilot are described. This pilot establishes the paucity of pre-existing natural fractures in this locale and enables the determination of the spatial characteristics of the stimulation using information derived from the core, cuttings samples, borehole-image logs, tracer logs, microseismic, distributed temperature sensing (DTS)/distributed acoustic sensing (DAS), and pressure data. Results show that stimulation effectively breaks the reservoir rock and makes a complex array of hydraulic fractures that are more closely spaced near the producer. Some fractures, however, extend interwell distances of more than 1,000 ft. The pilot data indicate that abundant proppant transport appears to be limited to distances less than 75 ft from the producer, which suggests that the stimulated rock volume (SRV) might be greater than the volume of rock that can be effectively drained.
Case Study for Early Design Optimization of Fatigue Sensitive Tubular Connections in Fixed Offshore Platforms
Authors: Khalil Ahmed , Agrawal Rajender , Kamal Faris , Takieddine Oussama 
Published: November 2018

Abstract
Members forming part of structures exposed to cyclic loading (such as offshore oil and gas platforms) are engineered to satisfy various pre-service and in-service loading conditions which include being checked for compliance with fatigue design requirements. In this study, the parameters that affect welded tubular joint fatigue performance are identified to assist design engineers achieve a preliminary design that is more likely to satisfy the fatigue design requirements early in the design cycle with the aim of avoiding later changes in the design.
State-of-the-art Finite Element modelling techniques were implemented throughout the course of this study. For a selected typical K-T joint from a 3D support frame ‘Study Model’ initially created in SACS (Structural Analysis Computer Software) was replicated in ANSYS and variations in Stress Concentation Factor (SCF), Hot Spot Stress (HSS) and fatigue life were studied with respect to variable joint properties, namely brace to chord diameter ratio (d/D), brace to chord thickness ratio (t/T) and brace diameter to thickness ratio (d/t). Results obtained from both programs were compared as means for validation of study model. Following the validation process, the same principles were applied to the Case Study.
The Study Model - found a good correlation between the trend of variation of results obtained from Nominal Stress Approach and Hot Spot Stress Approach. This serves the purpose of validating the Nominal Stress Approach methodology which shall then be used in the Case Study.
Case Study- Fixed Offshore Platform- Fatigue Life predicted longer for joints with d/D in the range 0.41 to 0.44 for constant member combined stress utilization ratio (UCR) and constant t/T. Fatigue Life predicted longer for joints with t/T in the range 0.345 to 0.375 for constant member UCR and constant d/D. Fatigue Life predicted longer for joints with d/t in the range 28 to 36 for constant member UCR, constant d/D and constant t/T.
Engineering Consultants and EPC Contractors executing projects involving detailed engineering through to installation of fixed offshore platforms perform structural analysis to define material requirements. Performing fatigue analyses for the final outcome of static in-service analysis may result in re-sizing of members during the course of the design cycle. The joint parameters derived by this paper can be applied at an early stage of the design process with the aim of confidently defining sizing of tubular joints that are likely to satisfy fatigue design requirements. This greatly enhances engineering efficiency by avoiding later design changes in the design cycle.
Variable Exponential Decline: Modified Arps To Characterize Unconventional-Shale Production Performance
Authors: Gupta Ishank , Rai Chandra , Sondergeld Carl , Devegowda Deepak 
Published: November 2018

Summary
Different decline-curve-analysis (DCA) methods have been proposed to predict the production performance of both conventional and unconventional-shale reservoirs. These methods range from empirical to semiempirical and theoretical. The different methods were developed using specific data sets and have their own assumptions and limitations, and thus are not universally applicable.
This study shows that a DCA method should be capable of simultaneously modeling the flow regime prevalent around the well and the changes in reservoir properties with time, to be able to successfully represent the production performance of the well and predict future performance. In shales, flow regimes can be linear, bilinear, multifracture linear, post-linear, stimulated-reservoir-volume (SRV) -dominated boundary flow, or compound linear. The change in fracture conductivity caused by fines migration, embedment, crushing, diagenesis, and change in stresses because of production is another important phenomenon for which a DCA method must account.
This study critically analyzes various proposed historical DCA methods with respect to their capability to model fracture-flow regimes and changes in fracture conductivity with time. Upon close examination, it was found that both the linear-flow regimes and changes in fracture conductivity with time follow a power-law function. Thus, the reason for the successful application of the Arps (1944) hyperbolic, power-law-exponential (PLE), stretched-exponential-decline (SEPD), and Duong (2010) methods is that decline rates in these methods are a power-law function or can be closely approximated by a power-law function.
A new simplified decline-curve equation is proposed by modifying the existing Arps exponential-decline equation, where the constant-decline rate is replaced by a power-law-function variable decline rate. The application of this method is shown using production data from Haynesville Formation and Eagle Ford Formation shales. The average error in cumulative-production prediction for 20 wells was found to be only 3% in Haynesville wells and 2% in Eagle Ford wells. This method is very robust and can account for different flow regimes and changes in fracture conductivity with time.
A New Workflow for Improved Water-Saturation Assessment in Organic-Rich Mudrocks Honoring Rock Fabric
Authors: Garcia Artur Posenato , Heidari Zoya , Rostami Ameneh 
Published: November 2018

Summary
The complexity of rock fabric (e.g., spatial distribution of pores and rock components) in organic-rich mudrocks has a significant impact on rock properties, such as electrical resistivity, and hence on estimates of hydrocarbon reserves. Actual spatial distributions of pores and rock components are not accounted for in conventional petrophysical models. For instance, clays are typically considered to be distributed in laminated, dispersed, or structural forms. However, clay distribution in organic-rich mudrocks might not fit any of these categories. Furthermore, conventional models do not incorporate conductive components—other than brine and clay minerals—in interpretation of resistivity measurements. We introduce a new resistivity-based workflow that quantitatively assimilates the type and the spatial distribution of all conductive components to improve reserves evaluation. To achieve this objective, we (a) introduce a directional connectivity parameter that quantifies the influence of clay, kerogen, pyrite, and brine network connectivity on electrical resistivity; (b) develop a new method that relates electrical resistivity to directional connectivity of all the conductive components; and (c) improve the estimates of water saturation in organic-rich mudrocks.
The new resistivity method incorporates directional connectivity of each conductive component of the rock. This parameter is a function of rock-fabric features such as directional tortuosity and constriction factor of each component. The aforementioned features are quantified using focused-ion-beam scanning-electron-microscope (FIB-SEM) 3D pore-scale images. We apply a semianalytical streamline model to estimate the network connectivity of the conductive components, which will be inputs to the new workflow. We successfully applied the new method to pore-scale rock samples from one organic-rich mudrock formation and several synthetic cases. The results of numerical simulations showed that the sensitivity of electrical conductivity to spatial distribution of conductive components can be significant, depending on their volumetric concentration and electrical properties. Finally, comparison of the new method against a conventional method [i.e., the Waxman-Smits model (Waxman and Smits 1968)] showed that water saturation can be improved by up to 35% when a quantitative and realistic spatial distribution of all the conductive components (e.g., pyrite, clay, and kerogen) is taken into account.
Competitive Indices in Cereal and Legume Mixtures in a South Asian Environment
Authors: Iqbal Muhammad Aamir , Hamid Abdul , Hussain Imtiaz , Siddiqui Muzammil H. , Ahmad Tanveer , Khaliq Abdul , Ahmad Zahoor 
Published: November 2018

Core Ideas
Cereal‐legume binary mixtures increased forage productivity per unit area compared to cereal‐cereal and legume‐legume binary mixtures.
In binary mixtures, pearl millet was marginally more resistant to yield reduction in comparison to sorghum.
Soybean suffered the highest yield losses in binary mixtures compared to cowpea and cluster bean.
The assessment of competitive performance of mixture components is important for maximizing benefits of intercropping systems. This field study tested binary mixtures of two cereals {sorghum [Sorghum bicolor (L.) Moench] and pearl millet [Cenchrus americanus (L.) Morrone]} and three forage legumes {cowpea [Vigna unguiculata (L.) Walp.], cluster bean [Cyamopsis tetragonoloba (L.) Taub.], and soybean[Glycine max (L.) Merr.]}, along with their sole crops on competitive indices. Sorghum–cowpea binary mixture resulted in a lower green forage yield of sorghum and cowpea by 9 and 36%, respectively, but overall biomass production was increased by 30 and 117% compared to their sole crop equivalents. Partial land equivalent ratios (LER) of all component crops were higher than 0.50, indicating better land use efficiency, except of soybean in binary mixtures with cowpea and cluster bean. However, the highest LER was of sorghum–cowpea (1.55), followed by sorghum–soybean (1.48) and pearl millet–soybean (1.48) binary mixtures. Pearl millet dominated sorghum and all legumes, while cowpea remained a superior competitor among legumes as per aggressivity value (AV) index. The highest crowding ratio (CR) was exhibited by pearl millet in binary mixture with cluster bean indicating its higher competitive ability in comparison to other mixture components. Observed yield loss data indicated that pearl millet was the most resistant crop to yield loss in all binary mixtures, while soybean had the highest yield reduction. In a short term, the highest area time equivalent ratio (ATER) for sorghum–cowpea binary mixture indicated the maximum advantage for this binary mixture compared to other binary mixtures.
Filtering of Periodic Infiltration in a Layered Vadose Zone: 2. Applications and a Freeware Screening Tool
Authors: Dickinson Jesse E. , Ferré T.P.A. 
Published: November 2018

Core Ideas
Infiltration forcings are filtered (time lagged and damped) with increasing depth.
Filtering generally increases with increasing infiltration and cycle period.
We show where forcings can produce variable recharge in Central Valley (California).
We have developed a screening tool to visualize and conceptualize the filtering properties of a layered vadose zone. Climate projections indicate that rainfall timing and magnitude may change and impact groundwater resources. This increases the importance of understanding how the vadose zone filters infiltration variability and ultimately affects recharge and groundwater resources. An approximate solution for the filtering of surface forcings through soil layers was developed previously, and the soil and conditions where its approximations are appropriate was evaluated. Here we present a screening tool based on the solution for estimating how periodic infiltration forcings filter in a layered vadose zone for different soil properties and surface flux conditions. The solutions identify time‐varying elements of surface forcings that persist to the depth of the water table, leading to transient recharge. We investigated the filtering properties of the vadose zone in Central Valley, California, and identified areas where surface forcings are essentially damped and recharge can be approximated as steady. We also determined the travel time for infiltration pulses to reach the depth of the water table.
Adsorption of phosphorus with calcium alginate beads containing drinking water treatment residual
Authors: Shen Cheng , Zhao Yaqian , Liu Ranbin , Mao Yi , Morgan David 
Published: November 2018

Abstract
Aluminum-based drinking water treatment residuals (DWTR) were encapsulated by alginate to develop a pelletized media (DWTR-CA beads) for phosphorus (P) adsorption. The beads were successfully manufactured to uniform size and shape requirements. The effects of DWTR powder concentration and particle size, and bead mean size on P adsorption, were investigated. The DWTR was found to be an important component in the beads for P adsorption, while the calcium alginate shell contributed little for P adsorption. The maximum P adsorption capacity of the DWTR-CA bead was 19.42 mg P/g wet beads, corresponding to a bead diameter of 3.1 ± 0.2 mm and DWTR concentration of 2% (1% weight/volume (W/V)), mg/mL). The adsorption data fit well with the intra-particle diffusion model and the pseudo-second-order kinetic model, while both the Langmuir and Freundlich adsorption isotherms described the adsorption process well. Furthermore, the study on the effect of pH on P adsorption showed that acidic conditions resulted in a better P adsorption and the DWTR-CA beads have the function of pH neutralization. The findings of this study show that the DWTR-CA beads are a promising adsorbent/substrate for P removal.