bluuebunny/crossref_metadata_2025_split huggingface dataset:
GAIT Analysis based on GENDER Detection Using Pre- trained Models and Tune Parameters
Authors: Vora Charmy , Katkar Vijay , Lunagaria Munindra 
Published: October 2023

Abstract
In past several decades, gait biometrics has expanded rapidly and is now a viable alternative to traditional methods of identification. The technique used for gait surveillance, monitoring, and analysis is constantly evolving. In applications that use computer vision, it’s challenging to determine someone's gender by their stride. This study suggests a reliable and adaptable technique for determining gender based on gait to address this issue. More than ever, there is a requirement of dataset which is based on gait analysis and recognition that enables the extraction of useful data. Furthermore, most of research studies utilizing gait datasets and machine learning techniques are image-based. Thus, research on gait recognition has been conducted on the vast majority of available datasets. The OULP-Age dataset from OU-ISIR is used to evaluate the proposed system for gait analysis based on gender predication. It represents a person's gait using a gait energy image (GEI).Moreover, these GEIs images were used to extract the feature using pre-trained models and we used the XGBoost classifier to classify the gender prediction. After that, the XGBoost classifier’s parameters are tuned to improve the outcomes. Finally, DenseNet models achieved good results with use of XGBoost tune parameters.
Individual-level double burden of malnutrition among children in India: Evidence from Comprehensive National Nutrition Survey (CNNS), 2016-18
Authors: Ashraf Sana , Ramesh Sowmya , Porwal Akash , Khan Nizamuddin , Sarna Avina , Acharya Rajib 
Published: October 2023

Abstract
Background
While different forms of malnutrition exist around the world, the present study aimed to assess the prevalence of stunting, overweight or obesity and double burden of malnutrition (DBM). As well, the study aimed to identify the factors associated with DBM. Further, the study also estimated the burden of DBM at the national and state-level.
Methods
The study used data from the 2016–2018 Comprehensive National Nutrition Survey (CNNS) conducted across 30 Indian states. The CNNS survey collected data on anthropometric and other socio-demographic indicators of 76,415 children. The outcome variable of interest of DBM is define as the co-existence of stunting and overweight among children aged 0–9 years. Children whose height-for-age was at least 2 standard deviation below the mean for their age were classified as ‘stunted’ and those whose weight-for-age was more than 2 standard deviation above the mean were classified as overweight or obese. A binary variable was created if the child had both conditions.
Results
The prevalence of stunting, overweight and DBM was 28.2%, 4.9% and 1.9%, respectively. Despite low prevalence of DBM, 4.4 million children are double burdened in India. Male children had higher odds of being malnourished. Further, mother’s age, parity, wealth index and caste were significantly associated with children being stunted, overweight or obese and DBM. Mother’s education was significantly associated with stunting and overweight.
Conclusion
This study provides evidence that Indian children are experiencing DBM. Therefore, nutrition initiatives in the country need to strategies and remodel standalone interventions to tackle under-nutrition and overweight concurrently.
Indexing and segment-level mapping of soil quality in a spatially complex watershed in northern Iran
Authors: Aghalari Fatemeh , Chavoshi Elham , Borujeni Sattar Chavoshi 
Published: October 2023

Abstract

Soil quality (SQ) modeling and mapping is a leading research field aiming to provide reproducible and cost-effective yet accurate SQ predictions at the landscape level. This endeavor was conducted in a complex watershed in northern Iran. We classified the region into spectrally and topographically homogenous land units (average area of 48 ± 23 ha) using object-based segmentation analysis. Following the physicochemical analysis of soil samples from 98 stations, the Nemoro soil quality index (SQIn) was produced using the minimum dataset procedure and a non-linear sigmoid scoring function. SQIn values averaged 0.21 ± 0.06 and differed statistically between major land uses. To predict and map SQIn for each land unit, the best-performing regression model (F(3, 84) = 45.57, p = 0.00, R2 = 0.617) was built based on the positive contribution of the mean Landsat 8-OLI band-5, and negative influence of land surface temperature retrieved from Landsat 8-OLI band 10 and surface slope (T-test p-values < 0.01). Results showed that dense-canopy woodlands located in low-slope land units exhibit higher SQIn while regions characterized by either low-vegetation or steep-sloped land units had SQ deficits. This study provides insights into SQ prediction and mapping across spatially complex large-scale landscapes.
Efficacy of Orthokeratology Combined with Low-level Red Light in the Treatment of Myopia in Children
Authors: Li Zhaosheng , Lin Qi , Liu Xi , Zhang Liping , Wang Ying , Jie Ying , Li Li 
Published: October 2023

Abstract
Purpose
To evaluate the three-month efficacy of single-vision spectacle(SVS) and orthokeratology(OK lenses) combined with low-level red light (LLRL) treatment in myopic children.
Methods
117 subjects from December 2022 to March 2023 were selected. The subjects groups included 30 cases in the SVS group, 30 cases in the OK lenses group, 30 cases in the SVS combined with LLRL(SVS-LLRL) group, and 27 cases in the OK lenses combined with LLRL(OK-LLRL) group. The amount of AL change and the effectiveness rate of myopia control in three months were compared among the subjects in the four groups.
Results
The growth of the AL in the SVS group was significantly higher compared to the other three groups (P < 0.05). There were no statistically significant differences in the changes of AL between the OK lenses group and the SVS-LLRL group (P > 0.05). However, the changes in AL between the OK lenses group and the OK-LLRL group were found to be statistically significant (P < 0.05), The changes in AL between the SVS-LLRL group and OK-LLRL group were not statistically significant (P > 0.05). The SVS group had the lowest effective rate, with a statistically significant difference in effective rate compared to the other three groups (P < 0.05). However, there was no statistically significant difference in effective rate among the OK lenses group, the SVS-LLRL group, and the OK-LLRL group.
Conclusion
The short-term efficacy of using both SVS and OK lenses combined with LLRL in treating myopic children surpasses that of the original single measure. Additionally, the short-term efficacy of SVS combined with LLRL treatment is comparable to that of OK lenses.
WITHDRAWN: Analysis of factors related to recanalization of portal vein thrombosis in liver cirrhosis: a retrospective cohort study
Authors: shi yali , Feng Wanlin , Cai Jiaman , Wang Zhonglin , Pu Ying , Mao Weiting , Zhan Ke , Chen Daorong 
Published: October 2023

Abstract
Background Portal vein thrombosis（PVT） is a common complication of liver cirrhosis, yet there are fewer studies about predictors of PVT recanalization. We aimed to further explore the predictors of recanalization in cirrhotic PVT to facilitate accurate prediction of patients' clinical status and timely initiation of appropriate treatment and interventions. We also further investigated the benefits and risks of anticoagulation therapy in patients with cirrhotic PVT are further investigated.
Methods A retrospective cohort study of patients with cirrhotic PVT in our hospital between January 2016 and December 2022, The primary endpoint was to analyze predictors of PVT recanalization by COX regression. Others included bleeding rate, liver function, and mortality.
Results This study included a total of 82 patients, with 30 in the recanalization group and 52 in the non-recanalization group. Anticoagulation therapy was the only independent protective factor for portal vein thrombosis recanalization and the independent risk factors included massive ascites, history of splenectomy, Child-Pugh B/C class, and main trunk width of the portal vein. Anticoagulation therapy was associated with a significantly higher rate of PVT recanalization (75.9% vs. 20%, log-rank P <0.001) and a lower rate of PVT progression (6.9% vs. 54.7%, log-rank P=0.002). There was no significant difference between different anticoagulation regimens for PVT recanalization. Anticoagulation therapy did not increase the incidence of bleeding complications(P=0.407). At the end of the study follow-up, Child-Pugh classification, Meld score, and albumin level were better in the anticoagulation group than in the non-anticoagulation group. There was no significant difference in 2-year survival between the two groups.
Conclusion Anticoagulation, massive ascites, history of splenectomy, Child-Pugh B/C class, and main portal vein width were associated with portal vein thrombosis recanalization. Anticoagulation may increase the rate of PVT recanalization and decrease the rate of PVT progression without increasing the rate of bleeding. Anticoagulation may be beneficial in improving liver function in patients with PVT in cirrhosis.
Resistance of Vitis germplasm to anthracnose in Southern Brazil
Authors: Menon Jéssica Karine , Modesto Lenon Romano , Bogo¹ Amauri , Guginski-Piva¹ Claudia Aparecida , Jurgensen Tiago S , Ritschel Patricia Silva , Welter Leocir José 
Published: October 2023

Abstract

Anthracnose is a fungal disease that affects all parts of grapevine in warm and humid regions of the world. The present study aimed to assess 13 Vitis spp. germplasm accessions for resistance to grapevine anthracnose, caused by E. ampelina in southern Brazil, during the 2014/2015 and 2015/2016 growing seasons. Anthracnose incidence and severity were assessed biweekly under natural infection from budburst (October – BBCH-09) until flowering (November – BBCH-63). The accessions were compared based on the following epidemiological parameters: a) beginning of symptoms appearance (BSA), b) time to reach the maximum disease incidence and severity (TRMDI and TRMDS), c) maximum disease incidence and severity (Imax, Smax), and d) areas under incidence and severity disease progress curves (AUIDPC and AUSDPC). Additionally, histological analyses and quantification of hydrogen peroxide production were conducted with the less and high susceptible accessions to anthracnose. In general, there was significant difference in estimated epidemiological parameters according to accessions. The principal parameters that differentiated accessions were Imax, Smax, AUIDPC, and AUSDPC. V. berlandieri, V. shuttleworthii, V. candicans, and Baco 1 and V. thunbergii and V. betulifolia were the less and high susceptible accessions to anthracnose, respectively. V. thunbergii and V. betulifolia showed the highest Imax, Smax, AUIDPC, and AUSDPC when compared to the less susceptible V. berlandieri, V. shuttleworthii, and V. candicans. Additionally, V. betulifolia exhibited higher cell death in leaf tissues around the E. ampelina infected points than V. shuttleworthii. The variation in susceptibility level to anthracnose among accessions can be utilized in further grapevine breeding programs.
Application of Machine Learning on Hydrate formation prediction of pure components with water and inhibitors solution
Authors: Nasir Qazi , Suleman Humbul , Wameath S Abdul 
Published: October 2023

Abstract

Determining gas hydrate formation conditions with pure water and presence of inhibitors are Indispensable for ensuring efficient management of hydrate in various processes such as flow assurance, deepwater drilling, and the advancement of hydrate-based technology. Current work utilizes five machine learning algorithms that are used in the development of prediction models for estimating the temperature of hydrate formation of pure components with pure water and with the addition of inhibitors. The machine learning algorithm tested in this study is the KNN (k-Nearest Neighbor), DTR (Decision Tree Regressor), GBR (Gradient Boosting Regressor), RFR (Random Forest Regressor), and XGBR (Extreme Gradient Boosting Regressor). The model was trained and tested using a comprehensive dataset comprising 3029 experimental data points sourced from various literature sources. The experimental data pertaining to methane, ethane, propane, carbon dioxide, and nitrogen were examined within a temperature range spanning from 148.8 to 323.9 K while maintaining a pressure not exceeding 1000 MPa. k-Nearest Neighbor emerges as the most accurate predictor among the five machine learning methods, boasting an impressive R2 score of 0.983 and a commendable AARD value of 0.267. Hence, the k-Nearest Neighbor regression method proves to be a reliable technique for forecasting the conditions under which hydrate formation occurs in pure components mixed with water and inhibitors.
High anti-corrosion barrier of poly(methyl methacrylate))-silica coatings explained: a thousand-days study
Authors: Uvida Mayara Carla , Trentin Andressa , Pulcinelli Sandra Helena , Santilli Celso Valentim , Hammer Peter 
Published: October 2023

Abstract
Poly(methyl methacrylate) (PMMA)-silica coatings form a few micrometers thick anti-corrosive barrier that blocks the permeation of water and ions when exposed to harsh environments. Their excellent anti-corrosive performance stands out for protecting steel and aluminum alloys immersed in seawater for long periods (> 2 years), making them compliant to several applications in the marine, aeronautical, and automotive industries, for example. A key approach to understanding the degradation of high-performance polymer and hybrid coatings over time consists of analyzing their water uptake-induced structural changes. This work is the first to examine in detail the uptake and structural modification of PMMA-silica coatings on AA2024 and AA7075 Al alloys immersed over a period of more than 1000 days in 0.6 M NaCl solution, using several complementary methods. Gravimetry, thermal analysis, infrared spectroscopy and electrochemical impedance spectroscopy (EIS) were employed to monitor the evolution of coated samples. The structural analysis performed using nuclear magnetic resonance, X-ray photoelectron spectroscopy, electron and atomic force microscopies before and after immersion indicate a slight leaching-induced surface roughening due to Si-O-Si hydrolysis. These findings comply with water uptake profiles calculated using the coating permittivity extracted from EIS data. The remarkable barrier property with impedance modulus in the GΩ range is associated with low uptake values (~ 0.6 vol.%) that can be explained by the highly cross-linked hybrid structure, which results in a very low permeation rate of the electrolyte towards the coating/alloy interface. The applied methodology is of crucial importance for establishing a standardized analysis for high-performance barrier coatings used for technological applications.
FUNDNA Software for Computing Mathematical Functions by DNA
Authors: Huse Jackson , Salehi Sayed Ahmad , Ahmadi Mahdi , Naeini Mohammadreza Tavasoli 
Published: October 2023

Abstract
Chemical reaction networks (CRNs) are commonly used as a design and modeling language for molecular computing. Thanks to the advancement of biotechnology, the implementation of more complex molecular computing circuits becomes feasible that makes generating efficient CRNs for these circuits difficult. This paper presents the development of a software tool, called FUNDNA, that automates the design of CRNs for computing mathematical functions. The generated CRNs can be mapped to DNA reactions using existing software tools. FUNDNA receives target mathematical functions from its user, approximates them by McLaurin series, and rearranges the series such that they can be transferred to a cascade of molecular AND/NAND (M-AND/M-NAND) units. To transfer the rearranged series into M-AND/M-NAND units, the software forms a connected graph of inputs, output, and the units using terms in the series. Each unit is then replaced by four reactions to generate the desired computing CRN. The computation is based on fractional encoding, where pairs of molecules are used to represent input and output variables. While individual units compute multiplication of their inputs the whole cascade performs the desired computation. We validated the software tool for 14 different functions. We mapped the generated CRNs into DNA reactions and the simulation results for different functions show that the tool can achieve computing CRNs with mean square error less than \(3.52\times {10}^{-4}\).
In Vivo Study of Newly Developed Albumin-Conjugated Urate Oxidase for Gout Treatment
Authors: Cho Jeonghaeng , Yang Byungseop , Lee Jae Hun , Kim Hyunwoo , Kim Hyeongseok , Go Eun Byeol , Bak Dong-ho , Park Su Jin , Kwon Inchan , Lee Kyunghee 
Published: October 2023

Abstract
Background: Exogenously providing engineered Uox with enhanced half-life is one of the important urate-lowering treatments for gout. The potential of PAT101, a recombinant human albumin (rHA)-conjugated variant, was evaluated and compared as a novel gout treatment through various in vivo studies with PAT101 and competing drugs.
Methods: PAT101 was produced by site-specific conjugation of rHA and Aspergillus flavus Uox (AfUox-rHA) through clickable non-natural amino acid (frTet) and Inverse electron demand Diels-Alder (IEDDA) reaction. In vivo pharmacokinetics, efficacy tests and in vitro immunogenetic assay were performed after single or multiple doses of PAT101 and its competitors in BALB/c mice, Transgenic (TG) mice, Sprague Dawley (SD) rats and non-human primate (NHP).
Results: The half-life of PAT101 in single dose treated TG mice was more than doubled compared to pegloticase. In SD-rats with 4 weeks repeated administration of rasburicase, only 24% of Uox activity remained, whereas in PAT101, it was maintained by 86%. In the Uox KO model, the survival rate of PAT101 was comparable to that of pegloticase. In addition, human PBMC-based CD4+/CD8+ T-cell activation analysis demonstrated that PAT101 has a lower immune response compared to the original drug, rasburicase.
Conclusion: All results suggest that this rHA conjugated AfUox, PAT101, can be provided as a reliable source of Uox for gout treatment.
Physiological measurements of passengers in self-driving cars encountering unexpected road events
Authors: Palatinus Zsolt , Volosin Márta , Dudás Zsolt , Lukovics Miklós , Majó-Petri Zoltán , Prónay Szabolcs , Lengyel Henrietta , Szalay Zsolt 
Published: October 2023

Abstract
In a preliminary analysis investigating the EEG and eye movement patterns of car passengers’ significant differences were reported in human driven and self-driving trials [15]. The differences suggested a preference and lower levels of anxiety in human driven conditions. The aim of the study reported here was to relate these differences to unexpected road events in real life passenger experience. These events were quick path corrections due to unforeseen obstacles on the path (deer and human shaped dummies). Every passenger went through both human and self-driving trials. The order of trials was balanced. Besides EEG and eye movements head movements and blinking frequencies were also recorded. Overall EEG and eye-tracking results were comparable to the preliminary findings showing the same overall differences between conditions. Analyses targeting the unexpected events showed moderate affective preferences for human drivers in the EEG data. Analyses of eye movements and head movements revealed larger multifractal spectrum differences for events vs smooth travel compared to human vs self-driving conditions. Blinking frequencies during the trip were lower during unexpected events, indicating higher levels of alertness.
Immersive Virtual Reality Enhanced Reinforcement Induced Physical Therapy (EVEREST) A pilot case–control study of virtual reality-enhanced upper limb rehabilitation for stroke survivors
Authors: Altukhaim Samirah , Sakabe Naoko , Nagaratnam Kirubananthan , Mannava Neelima , Kondo Toshiyuki , Hayashi Yoshikatsu 
Published: October 2023

Abstract
Motor impairment of the upper limb after a stroke is common, which negatively impacts patients’ quality of life. New technologies have been applied to stroke rehabilitation alongside conventional techniques in recent years. For example, immersive virtual reality (IVR) has emerged as a new treatment approach for stroke rehabilitation, simulating real-life activities to work on self-care skills. In this pilot study, we evaluated the efficacy of the IVR. Eighteen participants were randomized to an IVR group to receive VR intervention plus physical therapy (PT) sessions or a control group to receive PT sessions alone. Participants were instructed to reach with either their affected or unaffected hand to a randomly appearing target in the VR. The movement of the virtual image of the affected upper limb was reinforced by visual feedback to the participants. Treatment effects on motor recovery were investigated using the Fugl-Meyer upper extremity (FM) scale, kinematic dataset, and a questionnaire to obtain information regarding the sense of agency and comments about the training sessions in the IVR environment. The IVR group exhibited significant improvements in FM scores (p < 0.05) compared with the control group, reflecting the recovery of UE motor function. The time to target in the last session reduced compared with that in the first session, indicating motor learning and recovery of the affected limb (p < 0.05). The patients were highly engaged and motivated during the sessions because they felt like they were in charge of the virtual image of their upper body. The results suggest that positive reinforcement within the IVR could encourage the motor recovery of the affected hand and may facilitate the application of motor learning and neuroplasticity principles during neurological rehabilitation.
Dynamics of scientific research on mirror neuron system
Authors: Peyre Hugo , Yailian Alexandre , Dumas Guillaume , Gauld Christophe 
Published: October 2023

Abstract
Over 30 years, research into the Mirror Neuron System (MNS) has flourished, but criticisms emerged in 2014 regarding its role in empathy, mind-reading, and psychiatric disorders. One would expect that these criticisms to be considered with a time lag in the field of psychiatry because they were not originally formulated in the field of psychiatry. We found no time lag in publications on the social-cognition hypothesis between the peaks of publications on psychiatric disorders and all the other publications (both peaks in June 2014). Our findings indicate an effective knowledge dissemination between psychiatric research and other research fields.