bluuebunny/crossref_metadata_2025_split huggingface dataset:
The detection dilemma of marginally non‐poor households in poverty alleviation evaluation: Evidence from a linear quantile mixed model
Authors: Hu Zhineng , Ma Jing , Feng Qiong , Scott C. Patrick , Mesak Hani I. 
Published: April 2022

AbstractPoverty alleviation remains one of the most pressing problems, and China has made considerable advancements toward poverty alleviation in recent years. Considering village as a random effect, this paper proposes a linear quantile mixed model to analyze the effects of household type, village type, and their interactions on household income, suggesting a test of who benefits more or less from anti‐poverty policies. Results indicate that there has been a somewhat unbalanced development between poverty‐stricken households who are scheduled to be out of poverty earlier and poverty‐stricken households who are scheduled to be out of poverty later. The imbalance is slightly different across village types. Results also show that anti‐poverty policies have been equally implemented among village types, but there is some unbalanced development of poverty‐stricken and non‐poverty‐stricken households at lower income distribution quantiles depending on village type. Previously unidentified, marginally non‐poor households are found to benefit disproportionately less from policy measures irrespective of village type.
Nonparametric, Tuning-Free Estimation of S-Shaped Functions
Authors: Feng Oliver Y. , Chen Yining , Han Qiyang , Carroll Raymond J. , Samworth Richard J. 
Published: April 2022

AbstractWe consider the nonparametric estimation of an S-shaped regression function. The least squares estimator provides a very natural, tuning-free approach, but results in a non-convex optimization problem, since the inflection point is unknown. We show that the estimator may nevertheless be regarded as a projection onto a finite union of convex cones, which allows us to propose a mixed primal-dual bases algorithm for its efficient, sequential computation. After developing a projection framework that demonstrates the consistency and robustness to misspecification of the estimator, our main theoretical results provide sharp oracle inequalities that yield worst-case and adaptive risk bounds for the estimation of the regression function, as well as a rate of convergence for the estimation of the inflection point. These results reveal not only that the estimator achieves the minimax optimal rate of convergence for both the estimation of the regression function and its inflection point (up to a logarithmic factor in the latter case), but also that it is able to achieve an almost-parametric rate when the true regression function is piecewise affine with not too many affine pieces. Simulations and a real data application to air pollution modelling also confirm the desirable finite-sample properties of the estimator, and our algorithm is implemented in the R package Sshaped.
Forward Kinematics for Suspended Under-Actuated Cable-Driven Parallel Robots With Elastic Cables: A Neural Network Approach
Authors: Mishra Utkarsh A. , Caro Stéphane 
Published: April 2022

Abstract
Kinematic analysis of under-constrained cable-driven parallel robots (CDPR) has been a topic of interest because of the inherent coupling between the loop-closure and static equilibrium equations. The non-linearity of the problem is magnified with the addition of the coupling between the cable lengths and their tensions based on the elastic cable model. The paper proposes an unsupervised neural network algorithm to perform real-time forward geometrico-static analysis of such robots in a suspended configuration under the action of gravity. The formulation determines a non-linear function approximation to model the problem and proves to be efficient in solving consecutive and close waypoints in a path. The methodology is applied on a six-degree-of-freedom spatial under-constrained suspended CDPR. Specific comparison results in simulation and hardware to show the effectiveness of the proposed method in tracking a given path are illustrated. Finally, the degree of constraint satisfaction is presented against the results obtained from non-linear least-square optimization.
Trunk Movement and Sequential Trunk Muscle Activation During Oscillation Exercises Using Flexible Poles
Authors: Wang Ting-Chung , Tsai Ping-Jui , Hsu Wei-Hsiu 
Published: April 2022

Objectives: Oscillatory exercises using flexible poles, such as the Flexi-bar, were recommended as rehabilitation programs to increase trunk muscles strength; however, the strategy to enhance the training effects is under investigations. The aim of this study was to characterize the trunk movements and muscle activation patterns when performing an oscillation exercise with flexible poles in different weights. Methods: Twelve healthy male participants performed oscillation exercises with flexible poles of different weights. The center of mass, as well as surface electromyography for 10 trunk muscles were assessed while participants performed oscillation exercises. Results: The participants’ trunks showed rhythmic anterior–posterior movement during oscillation exercises using flexible poles. The center-of-mass movement distances were 20.32 (6.73) mm, 25.33 (5.31) mm, 32.40 (9.94) mm, and 37.28 (21.59) mm for the Flexi-bar, light pole, medium pole, and heavy pole, respectively. Erector spinae, internal obliques, multifidus, and external obliques revealed significant activation levels during oscillation exercises. The participants who could perform steady and smooth oscillation with heavy pole for 30 seconds revealed phasic sequential muscle activation. Conclusion: The present study suggested that oscillation exercises with flexible poles were associated with a concomitant trunk movement in anterior–posterior direction and an effective activation of trunk muscles.
On the Earliest Parkinsonia (Ammonoidea: Parkinsoniidae) from the Upper Bajocian (Middle Jurassic) of the Northern Caucasus, Russia
Authors: Mitta V. V. 
Published: April 2022

Abstract
The first representatives of the genus Parkinsonia previously described from Georgia as P. djanelidzei Kakhadze, 1937 and P. djanelidzei var. dertshiensis Kakhadze, 1937 are revised. P. djanelidzei [M] and P. dertshiensis [m] are described and illustrated. The name P. (Okribites) djanelidzei Kakhadze, 1937 is a junior primary homonym of P. (Parkinsonia) djanelidzei Kakhadze, 1937 and is permanently invalid.
Experimental study on the FBC chamber for analysis of temperature and combustion efficiency using palm oil biomass fuel
Authors: Mahidin  , Hamdani  , Hisbullah  , Erdiwansyah  , Muhtadin  , Faisal Muhammad , Usman  , Sidik Nor Azwadi Che 
Published: April 2022

Renewable energy sources such as palm oil biomass solid waste have attracted the interest of scientists. This is because palm oil biomass is suitable for conversion to heat energy so that the dependence on conventional fossil energy can be reduced. This study aimed to analyze the combustion temperature and efficiency in fluidized-bed combustor (FBC) combustion chambers using palm oil biomass (such as palm kernel shell (PKS), empty fruit bunches (EFBs), and palm oil midrib (OPM)). In addition, the remaining combustion ash from the testing process was analyzed using Gaussian equations. In this study, experiments were conducted through combustion in the FBC space. The results of the experimentation from the combustion process with EFB fuel showed higher efficiency than those with OPM and PKS fuels. The efficiency level of the EFB , OPM, and PKS fuels was 12.77%, 11.05%, and 10.63%, respectively. The analysis results for the highest temperatures were recorded for the EFB fuels, which reached 1045 °C, while the highest temperatures recorded for the PKS and OPM fuels were 875 and 934 °C, respectively, for measurements on measurement point 1 (MP-1). For point of measurement point 2 (MP-2), the highest temperatures recorded for the PKS, OPM, and EFB fuels were 935, 866, and 633 °C. Overall, the tests performed showed that the level of efficiency was in line with the testing process.
A Cross-Tabulation to Know the Relationship between Financial Performance and Leverage on a Company’s Tax Reporting and Tax Compliance
Authors: Hidayat Kadarisman , Khifni Mokhamad , Rahayu Sri Mangesti , Saifi Muhammad 
Published: April 2022

Purpose: Classify the characteristics of taxpayers in paying tax compliance based on financial performance, leverage, and tax reporting and analyze the relationship between financial performance and leverage on tax reporting and tax compliance companies.Design/method: This research was conducted at the Office of the Foreign Investment Tax Service in the Six Regional Offices of the DJP Jakarta, especially the Directorate General of Taxes (KPP PMA ENAM). The population in this study were corporate taxpayers registered at KPP PMA ENAM 2015–2018, namely 750 taxpayers. Sampling using the purposive method obtained as many as 660 companies. Cluster analysis and cross-tabulation were used as analysis methods in this study.Findings: In particular, corporate tax reporting depends on financial performance, but only on high-level corporate clusters that depend on leverage as well. While in the low company cluster (Cluster 1) tax compliance is influenced by these three variables, in the medium cluster (Cluster 2) tax compliance does not depend on these three variables, while in the high cluster (Cluster 3) tax compliance is only influenced by leverage.Originality: The cluster analysis method and the cross-tabulation method are used to analyze the effect of the financial performance and leverage variables on the tax reporting and tax compliance variables.
An Analysis of State Capital Share and Its Implications to the Efficiency-Equality Nexus
Authors: Wu Ying , Yao Hong 
Published: April 2022

This paper investigates the impact of state ownership on the efficiency-equality tradeoff in a mixed economy with both state and nonstate sectors. Using overall capital productivity as an efficiency proxy and state output share as an inequality proxy, we identify the efficiency threshold of state capital share that splits the efficiency-equality relationship between a tradeoff and nontradeoff. When state capital share is greater than the threshold (as evidenced in the case of China), lowering state capital share improves efficiency and reduces inequality. Furthermore, our simulation results suggest that the threshold is sensitive to capital shares in output of the both sectors. A broad scope for mutual gains in efficiency and equality exists by raising the capital share in nonstate output and lowering the capital share in state output.
Could NAO Robot Function as Model Demonstrating Joint Attention Skills for Children with Autism Spectrum Disorder? An Exploratory Study
Authors: Cao Hoang-Long , Simut Ramona E. , Krepel Noralie , Vanderborght Bram , Vanderfaeillie Johan 
Published: April 2022

Previous studies reported that children with autism spectrum disorder (ASD) show a certain interest in social robots. This makes social robots potential to be a model to teach social skills. This exploratory study aims to investigate whether three types of joint attention skills (i.e., eye-contact, pointing, gaze-following) could be improved for five preschoolers with ASD using an evidence-based robot-modeling intervention with a humanoid social robot NAO. Our observation shows that these children were motivated when interacting with NAO by following and responding correctly to NAO’s joint attention behaviors. Although some improvements were found, no pattern or systematic effect could be revealed. In the future, more evidence-based studies are needed to investigate the benefits of robot-assisted therapy more deeply.
Time Series Prediction Using Deep Learning Methods in Healthcare
Authors: Morid Mohammad Amin , Sheng Olivia R. Liu , Dunbar Joseph 
Published: April 2022

Traditional machine learning methods face unique challenges when applied to healthcare predictive analytics. The high-dimensional nature of healthcare data necessitates labor-intensive and time-consuming processes when selecting an appropriate set of features for each new task. Furthermore, machine learning methods depend heavily on feature engineering to capture the sequential nature of patient data, oftentimes failing to adequately leverage the temporal patterns of medical events and their dependencies. In contrast, recent deep learning (DL) methods have shown promising performance for various healthcare prediction tasks by specifically addressing the high-dimensional and temporal challenges of medical data. DL techniques excel at learning useful representations of medical concepts and patient clinical data as well as their nonlinear interactions from high-dimensional raw or minimally processed healthcare data.
In this article, we systematically reviewed research works that focused on advancing deep neural networks to leverage patient structured time series data for healthcare prediction tasks. To identify relevant studies, we searched MEDLINE, IEEE, Scopus, and ACM Digital Library for relevant publications through November 4, 2021. Overall, we found that researchers have contributed to deep time series prediction literature in 10 identifiable research streams: DL models, missing value handling, addressing temporal irregularity, patient representation, static data inclusion, attention mechanisms, interpretation, incorporation of medical ontologies, learning strategies, and scalability. This study summarizes research insights from these literature streams, identifies several critical research gaps, and suggests future research opportunities for DL applications using patient time series data.
A Contactless Authentication System Based on WiFi CSI
Authors: Lin Chi , Wang Pengfei , Ji Chuanying , Obaidat Mohammad S. , Wang Lei , Wu Guowei , Zhang Qiang 
Published: April 2022

The ubiquitous and fine-grained features of WiFi signals make it promising for realizing contactless authentication. Existing methods, though yielding reasonably good performance in certain cases, are suffering from two major drawbacks: sensitivity to environmental dynamics and over-dependence on certain activities. Thus, the challenge of solving such issues is how to validate human identities under different environments, even with different activities. Toward this goal, in this article, we develop WiTL, a transfer learning–based contactless authentication system, which works by simultaneously detecting unique human features and removing the environment dynamics contained in the signal data under different environments. To correctly detect human features (i.e., human heights used in this article), we design a Height EStimation (HES) algorithm based on Angle of Arrival (AoA). Furthermore, a transfer learning technology combined with the Residual Network (ResNet) and the adversarial network is devised to extract activity features and learn environmental independent representations. Finally, experiments through multi-activities and under multi-scenes are conducted to validate the performance of WiTL. Compared with the state-of-the-art contactless authentication systems, WiTL achieves a great accuracy over 93% and 97% in multi-scenes and multi-activities identity recognition, respectively.
Shall We Dance: Evolving Partnerships of Targeted Therapies for AML
Authors: Perl Alexander E. , Vyas Paresh 
Published: April 2022

Summary
Two publications detailing the clinical outcomes of patients with acute myeloid leukemia and mutations in IDH1, IDH2, or FLT3 who received initial therapy with venetoclax and azacitidine provide new insights into risk stratification and set the stage for future trials integrating molecularly targeted therapy with this new standard regimen.
See related articles by Konopleva et al., p. 2744 and Pollyea et al., p. 2753
Desidustat in Anemia due to Non-Dialysis-Dependent Chronic Kidney Disease: A Phase 3 Study (DREAM-ND)
Authors: Agrawal Dhananjai , Varade Deepak , Shah Hardik , Nazar Alm , Krishnan Jayakumar , Shukla Vineet , Ramakrishna Chinta , Bandara Galahitiyawa Mahel Chinthana , Mavani Sidhharth B. , Rajanna Sunil , Jikki Petkar , De Silva Shamila , Ruhela Vivek , Koradia Parshottam , Kansagra Kevinkumar , Kanani Pooja , Sharma Nitin , Zala Kuldipsinh , Parmar Deven ,   Study Investigator Group
Published: April 2022

<b><i>Background:</i></b> Desidustat, an oral hypoxia-inducible factor prolyl hydroxylase inhibitor, is being developed to treat anemia in patients with chronic kidney disease (CKD) without dialysis dependency. <b><i>Methods:</i></b> In total, 588 patients with a clinical diagnosis of anemia due to CKD without dialysis need and with baseline hemoglobin of 7.0–10.0 g/dL (inclusive) were randomized in a 1:1 ratio to receive either desidustat 100 mg oral tablets thrice a week for 24 weeks or biosimilar darbepoetin subcutaneous injection 0.75 μg/kg once in 2 weeks for 24 weeks. The primary outcome was the change from baseline in hemoglobin to evaluation period of Weeks 16–24. Key secondary outcomes included the number of patients with hemoglobin response, changes in the hepcidin levels, changes in the vascular endothelial growth factor (VEGF) levels, and changes in the lipid and lipoprotein profiles. <b><i>Results:</i></b> Hemoglobin change from baseline to Weeks 16–24 was 1.95 g/dL in the desidustat group and 1.83 g/dL in the darbepoetin group (difference: 0.11 g/dL; 95% CI: −0.12, 0.34), which met prespecified non-inferiority margin (−0.75 g/dL). The hemoglobin responders were significantly higher (<i>p</i> = 0.0181) in the desidustat group (196 [77.78%]) compared to the darbepoetin group (176 [68.48%]). The difference of change in hepcidin from baseline to Week 12 and Week 24 (<i>p</i> = 0.0032 at Week 12, <i>p</i> = 0.0016 at Week 24) and the difference of change in low-density lipoprotein from baseline to Week 24 (<i>p</i> value = 0.0269) between the two groups was statistically significant. The difference of change from baseline in VEGF to Weeks 12 and 24 between the two groups was not statistically significant. <b><i>Conclusion:</i></b> Desidustat is non-inferior to darbepoetin in the treatment of anemia due to non-dialysis dependent CKD and it is well-tolerated.
Overview of Controllers of User Interface for Virtual Reality
Authors: Novacek Tomas , Jirina Marcel 
Published: April 2022

AbstractVirtual reality has been with us for several decades already, but we are still trying to find the right ways to control it. There are many controllers with various purposes and means of input, each with its advantages and disadvantages, but also with specific ways to be handled. Our hands were the primary means of input for human--computer interaction for a long time. However, now we can use movements of our eyes, our feet, or even our whole body to control the virtual environment, interact with it, or move from one place to another. We can achieve this with various controllers and wearable interfaces, like eye-tracking, haptic suits, or treadmills. There are numerous devices that we can choose from for every category, but sometimes it can be hard to pick the one that matches our intentions best. This article summarizes all types of user interface controllers for virtual reality, with their main pros and cons and their comparison. By combining controllers, the user's feeling of being immersed in a virtual world can be increased. We will cover positional tracking (optical and nonoptical), hand-based controllers, body tracking, wearable controllers, eye-tracking methods, and locomotion systems. New controllers are being invented by lab researchers and companies for gaming or business. We provide a look at numerous controllers, and we offer a reference guide. This guide lists sources for research papers, technical specs, user reviews, and thoughts from outside academia.
Outcome of Prophylactic Postoperative Negative Pressure Wound Treatment in Colorectal Cancer Patients
Authors: Yeganeh Zhobin , Rahimi Murwarid , Kopatsis Anthony P. , Kopatis Katherine , Kopatsis Anthony 
Published: April 2022

Background Wound infection is a common cause of morbidity in colorectal surgery. We speculated that a prophylactic Negative Pressure Wound Treatment (NPWT) is associated with less postoperative wound complications for colorectal cancer patients who undergo a colectomy. Methods Multivariate analysis was used to investigate the association between NPWT and wound complications for patients with colorectal cancer who underwent a colectomy using data from the National Surgical Quality Improvement Program (NSQIP) database during the 2013 – 2019 period. Results We investigated 96 105 patients who underwent colectomy for colorectal cancer during 2013-2019 within the database. Negative Pressure Wound Treatment was utilized for 270 patients following the principal procedure (.3%). Patients who had NPWT had dirtier wounds, less bowel preparation, more extensive surgery (total colectomy vs partial colectomy), higher stoma creation, and more non-elective operations. Multiple factors were associated with postoperative wound complications such as smoking Adjusted Odd Ratio (AOR:1.27, P < .01), chronic steroid use (AOR: 1.30, P < .01), obesity (AOR: 1.54, P < .01), and serum albumin level less than 3.5 g/dL (AOR: 1.29, P < .01). Overall, there was no significant decrease in wound complications using NPWT (AOR: .66, P = .14). However, a sub-group of patients who underwent emergent/urgent operation had a significant lower risk of wound complications using NPWT (AOR: .3, CI: .09-.99, P = .04). Conclusion Prophylactic NPWT is associated with a decrease in wound complications of patients who underwent an emergent/urgent colectomy for colorectal cancer. However, we could not find any significant decrease in wound complications for elective colorectal procedures for colorectal cancer. Further clinical trials are needed to confirm these study results.
The Efficacy of Gabapentin + Dexamethasone for Postoperative Analgesia Following Septoplasty: A Prospective Randomized Placebo-Controlled Trial
Authors: Kandemir Süheyla , Pamuk A.Erim , Özel Gökçe , Gençay Işın , Kılıç Rahmi 
Published: April 2022

Aims: This study aimed to compare the efficacy of gabapentin, dexamethasone, and gabapentin + dexamethasone for pain control after septoplasty. Materials and Methods: This prospective randomized trial included 120 patients that underwent septoplasty and were randomly divided into 4 groups: group G (preoperative gabapentin 600 mg p.o.); group D (intraoperative dexamethasone 8 mg i.v.); group GD (preoperative gabapentin 600 mg p.o. + intraoperative dexamethasone 8 mg i.v.); group C (placebo control). Results: The median VAS score was significantly lower in groups G and GD at 1, 2, 4, 6, 12, and 24 hours postsurgery than in group C ( P < .008 for all). The median VAS score was significantly lower in group D than in group C at 1, 2, and 4 hours postsurgery ( P < .008 for all). There weren’t any significant differences in the VAS score between groups D, G, and GD at any time point. Groups G, D, and GD had a significantly lower frequency of rescue analgesic use than group C; however, there were no differences between groups G, GD, and C ( P < .001 and P = .108, respectively). Conclusion: Gabapentin, dexamethasone, and gabapentin + dexamethasone are equally more effective analgesics during the first 4 hours postsurgery than placebo. The addition of dexamethasone to gabapentin does not provide extra analgesia. Both gabapentin and gabapentin + dexamethasone have a more prolonged analgesic effect than dexamethasone alone.