bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diet and Nutritional Status of Tribal’s in North Western Part of Nashik District, Maharashtra (India): Using GIS Techniques
Authors: Wetal Jagadish D. , Suryawanshi Dnyaneshwar. S. , Suryawanshi Madan V. , Patil Vivekanand D. , Bhore Chatragun , Awhad Abhijit A. 
Published: October 2022

Abstract
Background: An individual's health is largely determined by nutrition, and nutrition is determined by diet, which consists of a variety of food items. As a result, eating a well-balanced and healthy diet is the single most significant element in achieving and maintaining good. The health of an individual depends to a large extent on nutrition and nutrition depends on diet, which consists of various articles of food. Hence balanced and nutritious food is the most important single factor in connection with the attainment and maintenance of health.
Objective: 1) To study Nutritional deficiency disorders among the tribal population. 2) To study the composite nutritional value as per the given Weightage. 3) To examine the pattern of diet and nutrition and their availability and intake in study regions.
Methods: Statistical and cartographic techniques have been used for the research work to precise conclusions. Per head per day availability foodstuff stuffs like, cereals, pulses, milk, vegetable,s etc. has beefindingnd out and shown through PHC wise isopleths maps. PPHC-whisper head per day consumption has been calculated through the sample village survey. A total of 115 villages are chosen, and 23 villages from the list of ITDP villages have randomly chosen in each tehsil. By using a probability proportional to the size of the various tribes, a total of 10 households (HHs) from each chosen village have been covered.
Result: The cumulative nutritional values of cereals are derived from the total of all weight ages measured so far. The composite nutrient values for cereals were 14.72 in Peint tehsil. This method was used to quantify the composite nutrient value for pulses, edible oil, milk, vegetables, and fruits. The cumulative composite value of Peint tehsil was 67.22 when the composite nutrition values were added together. The table shows the cumulative composite nutrition values measured on a tehsil-by-tehsil basis.
Conclusion: The indigenous inhabitants of the study region eat jowar, maize, wheat, and bajara as their major foods. Despite the fact that the terrain is conducive to rice farming, they still consume rice on occasion. Pulses are a staple of indigenous people's diets, which they consume on a daily basis. However, they consume very little fat-containing foods such as oil and milk in their regular diet. Similarly, just a small percentage of households include fruits and vegetables in their daily diet. These people are unable to acquire such expensive items due to their poverty. The general nutritional status is measured by computing composite nutrition values. For the entire region, the average composite nutrition value is 74.81.
An immune evasion molecular subgroup predicts prognosis in lung adenocarcinoma
Authors: lu xu , zhang huanle , zhang zheng , li zhanpeng , du menghua , chen bin 
Published: October 2022

Abstract
The formation and propagation of lung cancer are closely linked to immunoevasion (IEV). However, few studies have examined IEV-related genes to predict prognoses. Thus, Using the Lasso Cox regression models, we created the IEV-related gene signature (IEVSig) comprising six prognostic IEV-related genes (AHSA1, TNFRSF1A, FADD, CEP55, VDAC2, EMC6) based on The Cancer Genome Atlas databases and then validated by the Gene Expression Omnibus database. According to our findings, IEVSig is an independent prognostic factor. Patients with a higher IEVSig have shorter overall survival. Further, Assessments were conducted using multivariate Cox regression, nomogram, and Kaplan-Meier analysis. The areas under the ROC curve of GEO and TCGA databases at 1, 3, and 5 years are 0.63, 0.60, and 0.55, and 0.67, 0.65, and 0.66, respectively. In addition, the correlations between the IEVSig and the immune score were analyzed with Spearman. Furthermore, Gene ontology (GO) analyses indicated that IEVSig was enriched in death-inducing signaling. moreover, we evaluated the genomic alteration and somatic mutation status between patients with high and low IVESig in the TCGA-LUAD cohort. We noted distinct somatic mutation profiles among these subtypes Despite TP53, TTN, and MUC16 being the most frequent mutation, the relative frequencies varied among different subtypes. As a result, LUAD patients with an IEV-related prognostic signature were identified and the prediction marker can be used to offer insight into therapeutic approaches.
A Cross-Sectional Study of Relationships between Social Risks and Prevalence and Severity of Pediatric Chronic Conditions
Authors: Messmer Emily , Brochier Annelise , Wexler Mikayla Gordon , Rogers Stephen , Cottrell Erika K. , Tripodis Yorghos , Garg Arvin 
Published: October 2022

Abstract
Background: To examine the differential relationships between seven social risk factors (individually and cumulatively) with the prevalence and severity of asthma, attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and overweight/obesity in children.
Methods: Using the 2017-2018 National Survey of Children's Health, we examined associations between social risk factors (caregiver education, caregiver underemployment, discrimination, food insecurity, insurance coverage, neighborhood support, and neighborhood safety) and the prevalence and severity of asthma, ADHD, ASD, and overweight/obesity. We used multivariable logistic regression to assess the relationship between individual and cumulative risk factors with each pediatric chronic condition, controlling for child sex and age.
Results: Although each social risk factor was significantly associated with increased prevalence and/or severity of at least one of the pediatric chronic conditions we investigated, food insecurity was significantly associated with higher disease prevalence and severity for all four conditions. Caregiver underemployment, low social support, and discrimination were significantly associated with higher disease prevalence across all conditions. For each additional social risk factor a child was exposed to, their odds of having each condition increased: overweight/obesity (aOR: 1.2, 95% CI: [1.2, 1.3]), asthma (aOR: 1.3, 95% CI: [1.2, 1.3], ADHD (aOR: 1.2, 95% CI: [1.2, 1.3]), and ASD (aOR: 1.4, 95% CI: [1.3, 1.5]).
Conclusions: This study elucidates differential relationships between several social risk factors and the prevalence and severity of common pediatric chronic conditions. While more research is needed, our results suggest that social risks, particularly food insecurity, are potential factors in the development of pediatric chronic conditions.
Application of SWSRA-DS Algorithm in Improving the Model Transfer for Near Infrared Analysis of Pulpwood Holocellulose
Authors: Wang Honghong , Xiong Zhixin , Hu Yunchao , Liu Zhijian , Wang Ying , Huang Haoran , Liang Long 
Published: October 2022

Abstract
The SWSRA-DS combined algorithm was proposed with the goal of sharing the NIR analysis model of the holocellulose content of pulpwood on three different types of spectroscopic instruments. That was, the Screening wavelengths based on spectrum ratio analysis (SWSRA) algorithm was used to select the wavelengths with good stability and consistency. These important wavelength variables, which were insensitive to the measured sample parameters, can reduce the differences in sample information response by different instruments or measurement conditions. Then the systematic errors that still existed after the SWSRA method calibration were further calibrated using the Direct Standardization (DS) method on the basis of these wavelengths. This combined algorithm can improve the generalizability of the master model, reduce the spectrum matrix dimension, and make the model transfer more stabilized and simply. The results show that the SWSRA-DS combined algorithm was able to reduce the RMSEP of the master model to predict the holocellulose content of samples measured on the target 1 and target 2 instruments from 2.0114 and 9.4518 to 0.9641 and 1.0798, respectively. This result was compared with the calibration results of SWSRA and DS alone and the commonly used PDS and S/B model transfer algorithms to transfer performance was significantly improved, which provides a new idea for the sharing of NIR analysis models among different types of spectroscopic instruments.
Electrically reconfigurable optical color filters using heterogeneous chiral liquid crystals
Authors: Choi Su Seok , Wang Dahee , Nam Seungmin , Jung Wontae 
Published: October 2022

AbstractOptical signals necessitate using optical filters that selectively transmit light with the desired wavelength information. In visual imaging-related optical devices, a color filter acts as an optical wavelength selector to extract the certain color information from the incident light. To overcome the optical limitations of the conventionally commercialized pigmented color filters, such as low efficiency and low color purity, biomimetic structural color filters have recently attracted significant interest. Chiral liquid crystals form a self-organized periodic helical nanostructure and the implemented structural color can be tunable. However, most of chiral liquid crystal color and control of filtered color wavelength have been limited to the reflection rather than optically transmissive color filters. This study proposes an electrically tunable color filter using a heterogeneous chiral liquid crystal structure whose transmissive light can be tuned among different colors (red, green, and blue) with extremely small voltages not exceeding 1.2 V for the first time to the best of our knowledge. To obtain electrical controllability of transmissive colors, electrothermal tuning of chiral liquid crystals is approached. Moreover, analog pixel binning with a heterogeneous chiral liquid crystal color filter in a tetra-layout is investigated. Dynamic and direct binning of the color filter could relieve the quality degradation of the captured images under low-light illumination in image sensors and higher image resolutions. Considering the highly desired requirement of low driving voltage in practical devices, the tunable heterogeneous CLC color filter proposed in this study is expected to facilitate the advancement of future electro-optical color filter applications.
Non-Intrusive Speech Quality Assessment withAttention-based ResNet-BiLSTM
Authors: Shen Kailai , Yan Diqun , Ye Zhe , Xu Xianbo , Gao JinXing , Dong Li , Peng Chengbin , Yang Kun 
Published: October 2022

Abstract
Speech quality is frequently affected by a variety factors in online conferencing applications, such as background noise, reverberation, packet loss, network jitter and so on. In real scenarios, it is impossible to obtain a clean reference signal to evaluating the quality of the conferencing speech. Therefore, an effective non-intrusive speech quality (NISQA) method is necessary. In this paper, we propose a new network framework for NISQA based on ResNet and BiLSTM. ResNet is utlized to extract local features, while BiLSTM is used to integrate representative features with long-term time dependencies and sequential characteristics. Considering that ResNet may result in the loss of context information when applied to the NISQA task, we propose a variant of ResNet which can preserve the time series information of the conferencing speech. The experimental results demonstrate that the proposed method has a high correlation with the mean opinion score (MOS) of clean, noisy and processed speech.
Was the Extremely Wet Spring of 2022 in Southwest China Driven by La Niña?
Authors: Liu Yunyun , Li Duo , Hu Zeng-Zhen , Wu Renguang 
Published: October 2022

Abstract
In the spring of 2022, an excessive amount of rainfall fell in Southwest China (SWC) under the background of frequent droughts in history. This extreme event occurred in the decaying phase of a second-year of a double/triple dip La Nina event, and thus, presumably La Niña played a role in this extreme event. In this work, based on observational diagnoses and model forecasts, we examine the atmospheric circulation anomalies, contributions of external forcing, and the predictability of this event. It is suggested that La Niña and the upper-tropospheric warming over the Tibetan Plateau are two major factors leading to the extreme event. In addition to the recognized impact of La Niña, the upper-tropospheric warming over the Tibetan Plateau modulates the Asian atmospheric circulation by inducing a northwest-southeast wave pattern extending from the Ural Mountains to the Indochina Peninsula via the western Tibetan Plateau. The meridional heat contrast with the upper tropospheric warming over the Tibetan Plateau favors upward motion and excessive rainfall in SWC. The connection between the SWC spring rainfall anomaly and the northwest-southeast wave pattern is confirmed by a climate model forecast. The model captured the wet pattern in SWC in spring 2022 in short (1–3 months) lead real-time predictions though there are biases in the area and severity probably due to that the model did not well capture the atmospheric circulation anomalies at the middle and high latitudes associated with the upper-tropospheric warming over the Tibetan Plateau. These results indicate that such an event is predictable to some extent if both the ENSO evolution and heat condition over the Tibetan Plateau can be well captured.
Synthesis of Solketal from glycerol catalyzed by spherical γ-Al 2 O 3 supported FeCl 3
Authors: Zhang Tiantian , Liao Shan , Xin Xiulan , Liu Hongqin , Yu Yang , Xu Baocai 
Published: October 2022

Abstract
The porous spherical alumina (γ-Al2O3) as catalyst support was prepared by sol-gel method, and FeCl3/γ-Al2O3 materials were prepared by impregnation method. The FeCl3/γ-Al2O3 materials were used as catalyst in the Solketal production process by acetalization of acetone and glycerol, showing considerable catalytic performance. When the molar ratio of glycerol and acetone was 1:10, 0.2 mol% FeCl3/γ-Al2O3 was used as the catalyst, and the reaction was carried out at 25°C for 30 min, the conversion of glycerol was 99.89%, the selectivity of Solketal was 98.36%, and the yield of Solketal reached 98.25%. The mechanism is due to the spherical γ-Al2O3 support has high thermal stability, large specific surface area, and rich pore structure, encouraging abundant active sites and high catalytic activity of FeCl3 for the acetalization reaction. Thereafter, the experimental results prove that the prepared FeCl3/γ-Al2O3 catalyst can be easily recovered and reused many times, indicating its great value for large-scale research and application in the future.
Parameter Estimation of LFM Signal Based on RD Compressed Sampling and DFRFT Dictionary
Authors: Meng Shuo , Meng Chen , Wang Cheng 
Published: October 2022

Abstract
In order to estimate the parameters of linear frequency modulation (LFM) signals directly from compressed sampled data, a method combining random demodulator (RD) and discrete fractional Fourier transform (DFRFT) dictionary is proposed in this manuscript. Firstly, according to the characteristics of LFM signal, the RD system parameters are adjusted to obtain effective compressed sampling data; Then, based on the fractional Fourier transform theory, a DFRFT dictionary is constructed, and sparse representation coefficients are obtained by reconstructing the compressed sampling data through the recovery algorithm and DFRFT dictionary. The signal has the characteristics of impact under the optimal fractional transform order, so the problem of signal parameter estimation can be converted into searching the location of the maximum value of sparse representation coefficients, and the location is determined by parameter optimization algorithm, then the initial frequency and frequency modulation (FM) slope of LFM signal can be estimated. Finally, simulation and real data experiments are carried out to verify that the proposed method not only has a good sparse representation ability for LFM signals, but also can directly be used to estimate the parameter of LFM signals with compressed sampling data.
Rats Conserve Passive Avoidance Retention Level Throughout the Light Phase of Diurnal Cycle
Authors: Popović Natalija , Morales-Delgado Nicanor , Cruz-Sánchez Ernesto , Popović Miroljub 
Published: October 2022

Abstract
Most studies indicated a marked change in memory acquisition and recall across the day. The present study aimed to evaluate whether the time of day during the light phase of the diurnal cycle influences emotional memory trace in passive avoidance task. The passive avoidance test was performed in young adult male Wistar rats at the beginning (08:30-10:00h; defined as Zeitgeber time (ZT) ZT0.5-2), mid-time (13:00-14:30h, ZT5-6.5) and at the end (18:30-20:00h, ZT10.5-12) of the light period. The results show no significant daytime effect on acquisition trial in the passive avoidance task. In all test periods, the transfer latency significantly increased on the retention trial of passive avoidance. The significance increased in following order ZT10.5-12 < ZT0.5-2 < ZT5-6.5. In conclusion, time of day does not affect emotional response on acquisition trials of passive avoidance tasks but slightly influences cognitive response on 24 h retention trial.
Detection of Image Tampering Using Deep Learning, Error Levels &amp; Noise Residuals
Authors: Chakraborty Sunen , Chatterjee Kingshuk , Dey Paramita 
Published: October 2022

Abstract

Images once were considered as a reliable source of information. However, when photo-editing software started to get noticed it gave rise to illegal activities that is called image tampering. These days we can came across innumerable tampered images across the internet. Software such as Photoshop, GNU Image Manipulation Program, etc. are applied to form tampered images from real ones in just a few minutes. When it comes to discover hidden signs of tampering in an image deep learning models are far more effective than any other methods. Models used in deep learning are capable of extracting intricate features from an image automatically. To differentiate between authentic and tampered images we presented a dual-branch Convolutional Neural Network (CNN) in conjunction with Error Level Analysis (ELA) and noise residuals from Spatial Rich Model (SRM). For our experiment we utilized the freely accessible CASIA dataset. After training the dual-branch network for 16 epochs, it generated an accuracy of 98.55%. We have also provided a comparative analysis with other previously proposed work in the field of image forgery detection. This experiment is done to prove that deep learning models along with some well known traditional approaches can provide better results for detecting tampered images.
Synthesis of carboxyl cellulose nanocrystals/copper nanohybrids to endow waterborne polyurethane film with improved mechanical and antibacterial properties
Authors: Hu Xiaoxiao , Zhao Yonghuan , Meng Yang , Shi Chen , Han Jian 
Published: October 2022

Abstract
The multifunctional nanohybrid fillers have attracted widespread attention in the field of polymer nanocomposites. In this study, carboxyl cellulose nanocrystals/copper nanoparticles (TCNC/Cu NP) nanohybrids were prepared by in situ growth of copper ions on the modified carboxyl CNC, and further doped into waterborne polyurethane (WPU)via solution blending. TEM, FTIR, XRD, and UV-vis analysis were used to characterize the morphology, composition, crystallization and structure of the as-prepared nanohybrid. TCNC/Cu NP nanohybrids exhibited good dispersion and interface compatibility in WPU matrix thanks to the modified CNC. The nanocomposite film obtained significantly enhanced mechanical, thermal stability and scratch resistance properties, which was attributed to a hydrogen bond network structure formed in the WPU matrix. Additionally, colony count method was performed to test antibacterial properties of various films. Compared to the pure WPU film, all of nanocomposite films showed good antibacterial properties against Escherichia coli and Staphylococcus aureus. The antibacterial ratio of the WPU nanocomposite film with the addition of TCNC/Cu NP (1:1) reach 99%. Furthermore, the results of a copper ion sustained release experiment showed that the nanocomposite film had a long-term release effect, which was ascribe to the strong bonding between TCNC/Cu NP nanohybrids and WPU matrix. Thus, Cu NP was firmly embedded in the hydrogen bonding network structure formed. This work gives a new approach to prepare the antibacterial WPU film with well mechanical properties.
Comparisons of a sodium selenite and a selenium-enriched Spirulina supplementation after a selenium deficiency on growth, tissue selenium concentrations, antioxidant activities and selenoprotein expression in rat
Authors: Castel Thomas , Léon Karelle , Gandubert Charlotte , Gueguen Bleuenn , Amérand Aline , Guernec Anthony , Théron Michaël , Pichavant-Rafini Karine 
Published: October 2022

Abstract
Selenium contributes to physiological functions through its incorporation into selenoproteins. It is involved in oxidative stress defense. A selenium deficiency results in the onset or aggravation of pathologies. Following a deficiency, the repletion of selenium leads to a selenoprotein expression hierarchy still misunderstood. Moreover, spirulina, a microalgae, exhibits antioxidant properties and can be enriched in selenium during its cultivation. Our objective was to determine the effects of a sodium selenite or selenium-enriched spirulina supplementation. Thirty-two female wistar rats were fed for 12 weeks with a selenium-deficient diet. After 8 weeks, rats were divided into 4 groups of 8 rats and were fed with water, sodium selenite (20µg Se/kg body weight), spirulina (3 g/kg bw) or selenium-enriched spirulina (20µg Se/kg bw + 3g spirulina/kg bw). In parallel, another group of 8 rats were fed with normal diet during 12 weeks. Selenium concentration and antioxidant enzyme activities (GPx, SOD, CAT) were measured in plasma, urines, liver, brain, kidney, heart and soleus. Expression of GPx (1, 3), Sel (P, S, T, W), SEPHS2, TrxR1, ApoER2 and Megalin were quantified in liver, kidney, brain and heart. Our results showed that a selenium deficiency leads to a growth retardation, reversed by selenium supplementation. All tissues displayed a decrease in selenium concentration following deficiency. Brain seemed protected. Our results demonstrated a hierarchy in selenium distribution and selenoprotein expression depending on selenium supplementation form. A supplementation of sodium selenite improved GPx activities and selenoprotein expression while a selenium-enriched spirulina was more effective to restore selenium concentration.