Miracle-dz/UniFAR-FTUs huggingface dataset:
Motor learning in golf—a systematic review

Golf is a sport that consists of complex movement skills that need to be executed with utmost precision. Consequently, motor skill learning plays a crucial role in golf, and large numbers of studies address various methods of motor learning. In the present review, we give a systematic overview of randomized controlled trials (RCTs) on motor learning of golf-specific motor skills. Three electronic databases were searched for RCTs looking at the effect of at least one learning method on performance in a golf-specific motor task. We grouped the studies depending on the learning strategies “cognitive training”, “practice scheduling”, “augmented feedback”, “implicit and explicit learning” and “focus of attention”. Fifty-two RCTs met the eligibility criteria and were included in the systematic review. Superior methods within their respective strategies were an external focus of attention and increasing contextual interference, as well as errorless learning. For “cognitive training” and “augmented feedback”, no single method can be considered the most favorable. The overall biggest limitations were the lack of statistical power for more than half of the RCTs, and the fact that most studies of the present review investigated simple putting tasks in novices only. Although we have shown superiority of specific learning methods, transferability of the recommendations that can be derived from simple golf tasks in novices to sport-specific tasks in advanced players still has to be demonstrated and require study designs with the intention to provide practical recommendations for coaches and athletes in the sport of golf.
Measuring Zero-Dose Children: Reflections on Age Cohort Flexibilities for Targeted Immunization Surveys at the Local Level

Zero-dose (ZD) children is a critical objective in global health, and it is at the heart of the Immunization Agenda 2030 (IA2030) strategy. Coverage for the first dose of diphtheria–tetanus–pertussis (DTP1)-containing vaccine is the global operational indicator used to estimate ZD children. When surveys are used, DTP1 coverage estimates usually rely on information reported from caregivers of children aged 12–23 months. It is important to have a global definition of ZD children, but learning and operational needs at a country level may require different ZD measurement approaches. This article summarizes a recent workshop discussion on ZD measurement for targeted surveys at local levels related to flexibilities in age cohorts of inclusion from the ZD learning Hub (ZDLH) initiative—a learning initiative involving 5 consortia of 14 different organizations across 4 countries—Bangladesh, Mali, Nigeria, and Uganda—and a global learning partner. Those considerations may include the need to generate insights on immunization timeliness and on catch-up activities, made particularly relevant in the post-pandemic context; the need to compare results across different age cohort years to better identify systematically missed communities and validate programmatic priorities, and also generate insights on changes under dynamic contexts such as the introduction of a new ZD intervention or for recovering from the impact of health system shocks. Some practical considerations such as the potential need for a larger sample size when including comparisons across multiple cohort years but a potential reduction in the need for household visits to find eligible children, an increase in recall bias when older age groups are included and a reduction in recall bias for the first year of life, and a potential reduction in sample size needs and time needed to detect impact when the first year of life is included. Finally, the inclusion of the first year of life cohort in the survey may be particularly relevant and improve the utility of evidence for decision-making and enable its use in rapid learning cycles, as insights will be generated for the population being currently targeted by the program. For some of those reasons, the ZDLH initiative decided to align on a recommendation to include the age cohort from 18 weeks to 23 months, with enough power to enable disaggregation of key results across the two different cohort years. We argue that flexibilities with the age cohort for inclusion in targeted surveys at the local level may be an important principle to be considered. More research is needed to better understand in which contexts improvements in timeliness of DTP1 in the first year of life will translate to improvements in ZD results in the age cohort of 12–23 months as defined by the global DTP1 indicator.
Sports Diet and Oral Health in Athletes: A Comprehensive Review

Food and fluid supply is fundamental for optimal athletic performance but can also be a risk factor for caries, dental erosion, and periodontal diseases, which in turn can impair athletic performance. Many studies have reported a high prevalence of oral diseases in elite athletes, notably dental caries 20–84%, dental erosion 42–59%, gingivitis 58–77%, and periodontal disease 15–41%, caused by frequent consumption of sugars/carbohydrates, polyunsaturated fats, or deficient protein intake. There are three possible major reasons for poor oral health in athletes which are addressed in this review: oxidative stress, sports diet, and oral hygiene. This update particularly summarizes potential sports nutritional effects on athletes’ dental health. Overall, sports diet appropriately applied to deliver benefits for performance associated with oral hygiene requirements is necessary to ensure athletes’ health. The overall aim is to help athletes, dentists, and nutritionists understand the tangled connections between sports diet, oral health, and oral healthcare to develop mitigation strategies to reduce the risk of dental diseases due to nutrition.
Maximin Design of Wideband Constant Modulus Waveform for Distributed Precision Jamming

Distributed precision jamming (DPJ) is an efficient way to control the combined power spectrum (CPS) of both target and friendly devices in electronic warfare. However, the existing methods neglect the design of worst-case CPS performance, and a great challenge is posed in determining an appropriate Pareto parameter to protect the friendly devices in practice. To address these issues, this paper investigates the maximin design of wideband constant modulus (CM) waveform for DPJ. Specifically, a novel optimization problem is established by maximizing the minimum CPS of the target equipment, and the maximum CPS of friendly devices is controlled under a given threshold in the constraint. The resultant problem is nonconvex and nonsmooth, together with CM and numerous quadratic constraints. Two algorithms, which can start from an infeasible initial point, are proposed to tackle the problem approximated by the $l_{p}$-norm. The first algorithm resorts to the alternating direction method of multipliers (ADMM) framework, and each subproblem is obtained with a closed-form solution. The second algorithm merges the penalty distance (PD) method and manifold optimization. The crux of this approach is to obtain the closed-form Euclidean PD term via the Karush-Kuhn-Tucker conditions and leverage the Riemannian conjugate gradient (RCG) framework, and we name this algorithm PD-RCG. Numerical examples demonstrate the effectiveness of our proposed algorithms. Comparatively speaking, the ADMM-based algorithm has better performance in protecting the friendly devices, while the PD-RCG algorithm performs better on the computational efficiency and the worst-case CPS of the target equipment.
Assessment of atherogenic indices and modification of lipid profiles by aqueous and methanol extracts of Terminalia catappa leaves in diabetic rats

Atherogenic indices are useful markers for prediction of cardiovascular diseases. This study investigates atherogenic indices in diabetic rats treated with different fractions of Terminalia catappa leaf extract. A total of Forty-two [42] male Wistar rats were randomly shared into 7 groups of 6 rats per group. Group 1 [control] received 5 ml/kg body weight of distilled water orally. Group 2 was treated with aqueous leaf extract of T. catappa at 130 mg/kg body weight orally while Group 3, diabetic untreated group orally received distilled water, 5ml/Kg body weight. Groups 4 and 5 were diabetic rats treated respectively with 130 mg/Kg body weight of aqueous leaf extract of T. catappa and subcutaneous administration of insulin, 0.75 U/Kg body weight. Group 6 received methanol fraction of T. catappa leaf extract; 130 mg/Kg body weight and group 7 was administered orally with 30 mg/Kg body weight of aspirin. Diabetes was induced with streptozotocin; 65 mg/Kg body weight. Results showed significant [p < 0.05] increase in TC, TG, LDL-c and VLDL-c in diabetic untreated group and significant reduction in HDL-c. These lipids were reduced and HDL-c increased significantly [p < 0.05] in aqueous and methanol extracts of T. catappa leaves treated groups. There was significant [p< 0.05] Fasting Blood Glucose reduction in both fractions. Therefore, modifications of lipid profile and reduction of atherogenic index in diabetic rats were similar in aqueous and methanol extracts of T. catappa leaves suggesting the potentials of preventing cardiovascular complications in diabetes mellitus.
Planform evolution of deltas with graded alluvial topsets: Insights from three‐dimensional tank experiments, geometric considerations and field applications

The profile of a river that conveys sediment without net deposition and net erosion is referred to as ‘graded’ with respect to vertical aggradation of the river segment. Three experimental series, designed in terms of the autostratigraphic view of alluvial grade, were conducted to clarify the diagnostic spatial behaviour of graded alluvial–deltaic rivers: an ‘R series’, which utilized a moving boundary setting with a stationary base level; an ‘F series’ in a fixed boundary setting with a stationary base level to produce ‘forced grade’; and an ‘M series’ in a moving boundary setting with constant base‐level fall to produce ‘autogenic grade. ’ The results of the three experimental series, combined with geometrical modelling of the effects of basin water depth and other experimental data, suggest the following: (i) in a graded alluvial–deltaic system, lateral shifting and avulsing of active distributary channels are suppressed regardless of whether the downstream boundary of the deltaic system is fixed; (ii) in a delta with a downstream‐fixed boundary, the graded streams are stabilized within a valley that is incised in the axial part of the delta plain, whereby the alluvial plain outside the valley is abandoned and terraced; (iii) in moving boundary settings, the graded river simply extends basinward as a linearly elongated channel and lobe system without cutting a valley; and (iv) a modern forced‐graded alluvial river is most likely to be found in a valley incised into a fan delta in front of very deep water, and the stratigraphic signal of fossil autogenic‐graded rivers will be found in deltaic successions that accumulated in the outer to marginal areas of deltaic continental shelves during sea‐level falls. This renewed autostratigraphic view of alluvial grade suggests a thorough reconsideration of the conventional understanding that an alluvial river feeding a progradational delta is graded with a stationary base level.
Chemical Composition Antioxidant and Anti-Inflammatory Activities of Myrtus communis L. Leaf Extract: Forecasting ADMET Profiling and Anti-Inflammatory Targets Using Molecular Docking Tools

Compounds derived from natural sources continue to serve as chemical scaffolds for designing prophylactic/therapeutic options for human healthcare. In this study, we aimed to systematically unravel the chemical profile and antioxidant and anti-inflammatory activities of myrtle methanolic extract (MMEx) using in vitro, in vivo, and in silico approaches. High levels of TPC (415.85 ± 15.52 mg GAE/g) and TFC (285.80 ± 1.64 mg QE/g) were observed. Mass spectrophotometry (GC-MS) analysis revealed the presence of 1,8-cineole (33.80%), α-pinene (10.06%), linalool (4.83%), p-dimethylaminobenzophenone (4.21%), thunbergol (4%), terpineol (3.60%), cis-geranyl acetate (3.25%), and totarol (3.30%) as major compounds. MMEx induced pronounced dose-dependent inhibition in all assays, and the best antioxidant activity was found with H2O2, with an IC50 of 17.81 ± 3.67 µg. mL−1. MMEx showed a good anti-inflammatory effect in vivo by limiting the development of carrageenan-induced paw edema. The pharmacokinetic profiles of the active molecules were determined using the SwissADME website, followed by virtual screening against anti-inflammatory targets including phospholipase A2 (PLA-2), cyclooxygenase-2 (COX-2), tumor necrosis factor alpha (TNF-α), interleukin-1β (IL-1β), and NF-κB. A pharmacokinetic study revealed that the molecules have good absorption, distribution, and metabolism profiles, with negative organ toxicity. Among the compounds identified by GC-MS analysis, pinostrobin chalcone, cinnamyl cinnamate, hedycaryol, totarol, and p-dimethylaminobenzophenone were observed to have good binding scores, thus appreciable anti-inflammatory potential. Our study reveals that MMEx from Algerian Myrtus communis L. can be considered to be a promising candidate for alleviating many health complaints associated with oxidative stress and inflammation.
Mapping of groundwater quality using Normalized Difference Dispersal Index of Dwarka sub-city at Delhi National Capital of India

Abstract In this study, geo-statistical tool was used to map groundwater quality parameters. Groundwater samples were collected from 30 wells. In order to quantify the site-specific variations, Normalized Difference Dispersal Index (NDDI) was used to map five parameters namely pH, EC, TH, Ca, and Mg. Maximum NDDI value enrichment was exhibited by EC (−0.01) and Mg (−0.009 ≈ −0.01) it reflects accretion. In addition, for pH (−0.012), TH (−0.027), and Ca (−0.025), it outlined by dilution or minor accretion, whereas median NDDI value for EC, Ca, Mg, TH and pH is −0.02, −0.02, −0.03, −0.029, and −0.04, respectively. NDDI mapping is a functional tool for evaluation and comparative assessment of spatio-temporal variations in groundwater. Further, frequency distribution and inter correlation analysis of the data-set has displayed coherence. The results of study will help in management of water resources.
Clinical Outcomes of Lateral Lumbar Interbody Fusion with Percutaneous Pedicle Screw for Dialysis-Related Spondyloarthropathy

Background: The usefulness and problems with lateral lumbar interbody fusion (LLIF) with a percutaneous pedicle screw (PPS) for dialysis-related spondyloarthropathy are not clear. Therefore, we investigated the usefulness and problems with LLIF with PPS in dialysis-related spondyloarthropathy. Methods: In total, 77 patients who underwent LLIF with PPS were divided into two groups: the dialysis-related spondyloarthropathy group (“Group D”) consisted of 15 patients (10 males and 5 females) with a mean age of 70.4 years and a mean duration of hemodialysis of 10.8 years; and the lumbar degenerative disease group (“Group L”) included 62 patients (31 males and 31 females) with a mean age of 71.0 years. The mean follow-up period was 4 years in Group D and 3 years 9 months in Group L. We compared surgical invasiveness (operative time, blood loss), perioperative complications, clinical outcomes (Improvement ratio of the JOA score), bone fusion rate, reoperation, sagittal alignment, and coronal imbalance between the two groups. Results: There were no significant differences in operative time, blood loss, or the improvement ratio of the JOA score, but dialysis-related spondyloarthropathy was observed in one patient with superficial infection, three patients with endplate failure, and one patient with restenosis due to cage subsidence. Conclusions: We consider LLIF with PPS for dialysis-related spondyloarthropathy to be an effective treatment option because its surgical invasiveness and clinical outcomes were comparable to those for cases of lumbar degenerative disease. However, as endplate failure due to bone fragility and a reduced bone fusion rate were observed in dialysis spondylolisthesis cases, we advise a careful selection of indications for indirect decompression as well as the application of suitable pre- and postoperative adjuvant therapies.
Spontaneous low-protein intake in older CKD patients: one diet may not fit all

Protein restriction has been extended to stage 3 chronic kidney disease (CKD) regardless of age in the latest K-DOQI guidelines for the dietary management of patients with CKD. However, in elderly CKD patients there is a tendency to a spontaneous reduction in protein and energy intake that may impair the overall nutritional status. The aim of our study is to assess whether there are differences in malnutrition, exercise capacity and inflammatory status in elderly CKD patients with spontaneously low protein intake (sLPI) compared with patients with normal protein intake (NPI). We performed a cross-sectional analysis of 123 incident patients. Malnutrition was assessed using Malnutrition Inflammation Score (MIS) and serum markers; As for physical performance, we used Short Physical Performance Battery (SPPB) and handgrip strength. We found that in older patients with advanced CKD, as many as 68% had low spontaneous protein intake, and they were more malnourished evaluated with MIS (25% vs. 10%, p = 0.033), protein-energy wasting (PEW) (43% vs. 14%, p = 0.002) and nPCR (0.63[0.51–0.69] vs. 0.95[0.87–1.1], p < 0.0001). They also had worse body composition, in terms of lower mid-arm muscular circumference (MAMC), fat tissue index (FTI) and higher overhydration (OH). sLPI patients also had higher levels of IL6 (4.6[2.9–8.9] vs. 2.8[0.8–5.1], p = 0.002). Moreover, sLPI patients were frailer (33% vs. 24%, p = 0.037) and had poorer physical performance especially when assessed with (SPPB) (7[5–9] vs. 9[7–10], p = 0.004) and gait test time (6.08 + 2 vs. 7.22 + 2.7, p = 0.04). sLPI was associated with lower physical performance [SPPB OR, 0.79 (0.46–0.97), p = 0.046] and malnutrition [MIS 1.6 (1.05–3.5), p = 0.041] independently from patients’ age and eGFR. We found that in older patients with advanced CKD, up to 68% had low spontaneous protein intake and were frailer, more malnourished and with lower physical performance. These findings emphasize the importance of assessing patients’ needs, and personalized approaches with individual risk–benefit assessments should be sought. To achieve the best possible outcomes, targeted interventions should use all available tools.
Experimental Investigation on the Energy and Exergy Efficiency of the Vacuum Membrane Distillation System with Its Various Configurations

This paper addresses a retrofitting vacuum membrane distillation (VMD) setup to reduce the accumulated pressure inside the permeated side. This modification is necessary to extend the operation of the VMD to extreme operation conditions of higher hot water temperatures. This modification, denoted as a hybrid configuration, proposes the injection of a cold water stream into the VMD cell without mixing it with the permeate. Energy and exergy efficiency analyses were performed to assess the effectiveness of the hybrid configuration. The performance of the modified system indicated an improvement in terms of permeate flux (J), the gain output ratio (GOR), and the utilitarian exergetic efficiency (ηex,u), which reach up to two and three times that of the base configuration of the VMD system. However, the exergetic efficiency (ηex) of the hybrid system showed marginal improvement compared to the base case over the tested range of hot water temperatures. This is because the enhanced vapor production is penalized by excess energy consumption. Moreover, the highest exergy destruction percentages occurred in the operational components (e.g., heater and chillers) which fall in the range of 19.0–68.9%. The exergy destruction percentage in the original components (e.g., the VMD cell and condenser) did not exceed 8.3%. Furthermore, this study indicated that the hybrid configuration requires additional tuning and optimization to perform efficiently over wide operating conditions.
Evolvement and Effects of Climate-productivity on Climate Change in Hubei Province

Based on the data of annual average temperature and annual precipitation of 76 meteorological stations from 1960 to 2005 in Hubei province,the temperature climate productivity potential(TSPt),the precipitation climate productivity potential(TSPn) and the evapotranspiration climate productivity potential(TSPv) in Hubei province were evaluated by Miami Model and Thornthwaite Memorial Model.EOF,REOF,EEOF,Mann-Kendall Test,Wavelet-based Analysis were used to analyze the evolvement and effects of climate-productivity on climate change in Hubei province.The results showed that rainfall was the restrictive factor of TSPv in most areas.There existed significant fluctuations of TSPv as time changes.Topography,rainfall,human activities and other factors influenced TSPv changes in space.The western mountain region was characterized with obvious oscillation and the eastern plains and hills were characterized with stable upward trend,and the mountain region in northwest Hubei was the sensitive area to TSPv oscillation.The future "warm-wet" climate was beneficial to crop productivity,while "cold-dry" climate can lead to decreases in TSPv.North Hubei is the sensitive region to global climate change.
Modeling the Mechanisms of Linear and Nonlinear ENSO Responses to the Pacific Meridional Mode

AbstractInteractions between the Pacific meridional mode (PMM) and El Nino–Southern Oscillation (ENSO) are investigated using the National Center for Atmospheric Research (NCAR) Community Earth System Model (CESM) and an intermediate coupled model (ICM). The two models are configured so that the CESM simulates the PMM but not ENSO, and the ICM simulates ENSO but not the PMM, allowing for a clean separation between the PMM evolution and the subsequent ENSO response. An ensemble of CESM simulations is run with an imposed surface heat flux associated with the North Pacific Oscillation (NPO) generating a sea surface temperature (SST) and wind response representative of the PMM. The PMM wind is then applied as a forcing to the ICM to simulate the ENSO response. The positive (negative) ensemble-mean PMM wind forcing results in a warm (cold) ENSO event although the responses are not symmetric (warm ENSO events are larger in amplitude than cold ENSO events), and large variability between ensemble members suggests.
TRANSFORMATION METHODS FOR USING COMBINATION OF REMOTELY SENSED DATA AND CADASTRAL MAPS

Abstract. In order to examine using cadastral maps as base maps for aerial orthophotos, two different 2D transformation methods were applied between various coordinate systems. Study area was chosen from Kagithane district in Istanbul. The used data is an orthophoto (30 cm spatial resolution), and cadastral map (1:1000) taken from land office, containing the same region. Transformation methods are chosen as; 1st Order Polynomial Transformation and Helmert 2D Transformation within this study. The test points, used to determine the coefficients between the datums, were 26 common traverse points and the check points, used to compare the transformed coordinates to reliable true coordinates, were 10 common block corners. The transformation methods were applied using Matlab software. After applying the methods, residuals were calculated and compared between each transformation method in order to use cadastral maps as reliable vector data.