bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Educational Intervention Based on the Trans Theoretical Model on the Physical Activity Level of Diabetic Patients in Iran: A Educational Trial Study
Authors: Bahrami Mahdie , Mousavi Saghi , Ghoozlu Khadije Jahangasht 
Published: August 2022

AbstractIntroduction: Regular physical activity can reduce mortality in patients with diabetes and prevent its complications. Planning to change behavior in these people in order to improve self-care is very crucial. The present study aimed to investigate the effect of an educational intervention based on the Trans Theoretical Model (TTM) on the physical activity level of diabetic patients. Methods: In this educational trial study, 120 patients with type 2 diabetes were included in the study in Rasht city. So that they were divided into two groups of intervention (60 people) and control (60 people) using 2 random block methods, and they completed the questionnaires of physical activity and the constructs of the change stages model. Then the educational intervention, including lectures, pamphlets, and educational CDs, was provided to the intervention group, while the control group did not receive any education. After one month of follow-up, the patients completed the questionnaire again. Data were analyzed using SPSS.v20. Results: The results showed that there was no significant difference between the intervention and control groups regarding regular physical activity before the educational intervention. However, after the intervention, the mean score of physical activity in the intervention group was higher than that of the control group, and this difference was statistically significant (P = 0.004). In relation to the distribution of physical activities change stages, a statistically significant difference was observed in the intervention group after the educational intervention (p<0.001). Conclusion: The results showed that educating diabetic patients regarding physical activity based on the TTM was effective in progressing the behavior change stages and increasing the regular physical activity score of the patients. Therefore, it is recommended to design and implement educational programs to promote physical activity level based on behavior change theories in order to improve the control and management of type 2 diabetes.
A selective laser-based sensor for fugitive methane emissions
Authors: Mhanna Mhanna , Sy Mohamed , Farooq Aamir 
Published: August 2022

Abstract
A mid-infrared laser-based sensor is reported for the quantification of fugitive methane emissions. The sensor is based on a distributed feedback inter-band cascade laser (DFB – ICL) operating near 3.3 µm. Wavelength tuning with cepstral analysis is employed to isolate methane absorbance from (1) fluctuations in the baseline laser intensity, and (2) interfering species. Cepstral analysis creates a modified form of the time-domain molecular free-induction-decay (m-FID) signal to temporally separate optical and molecular responses. The developed sensor is insensitive to baseline laser intensity imperfections and spectral interference from other species. Accurate measurements of methane in the presence of a representative interfering species, benzene, are performed by careful selection of the scan index (ratio of laser tuning range to spectral linewidth) and initial and final time of m-FID signal fitting. The minimum detection limit of the sensor is ~ 50 ppm which can be enhanced with an optical cavity. The proposed sensing strategy can be utilized to measure methane leaks in harsh environments and in the presence of interfering species.
N6-methyladenosine writer KIAA1429 modulates the proliferation/migration of endothelial cells for atherosclerosis
Authors: Rong Jian , Jie Yingxin , Zhao Hui 
Published: August 2022

AbstractIncreasing evidence illustrates the important roles of N6-methyladenosine (m6A) in progression of atherosclerosis (AS). However, the connections between m6A modification and AS pathophysiological process are unknown. Here, this work investigated the expression profile of m6A methyltransferase KIAA1429 in AS pathology and explored its undergoing m6A-dependent molecular mechanism. Results indicated that KIAA1429 was remarkedly up-regulated in oxidative low-density lipoprotein (ox-LDL) treated human umbilical vein endothelial cells (HUVECs). KIAA1429 overexpression inhibited proliferation/migration in ox-LDL-administrated HUVECs, while, KIAA1429 knockdown repressed the proliferation and migration. Mechanistically, ROCK2 mRNA was post-transcriptionally upregulated by KIAA1429 in response to Actinomycin D administration through m6A modified site binding on ROCK2 mRNA. Collectively, our study demonstrates the functional regulation of KIAA1429 on ox-LDL-induced HUVECs via m6A/ROCK2 axis. These findings provide new insights for m6A-mediated epigenetics in AS.
A green spectrofluorimetric approach for the versatile determination of Bilastine in real human plasma and pharmaceutical preparations with content uniformity testing
Authors: Derayea Sayed M. , El-Din Khalid M. Badr , Ahmed Ahmed S. , Khorshed Ahmed , Oraby Mohamed 
Published: August 2022

Abstract
A green spectrofluorimetric method for determining Bilastine (BIL) was described. The method is very sensitive, simple, and quick. The suggested method was depend on the measurement of the original fluorescence of BIL in 1.0 M sulfuric acid at an emission wavelength of 385 nm after an excitation at 272 nm. The method was evaluated by ICH requirements. The relationship between BIL concentrations and the fluorescence intensities was linear in a range of 10.0–500.0 ng mL− 1, and the correlation coefficient was 0.9999. The detection limit was 2.9 ng mL− 1 and quantitation limit was 8.8 ng mL− 1. The suitable sensitivity and selectivity of the suggested method enabled its application successfully in analyzing BIL in real human plasma with appropriate recoveries from 95.72% to 97.2 %, as well as in pharmaceutical preparations without any interfering effect from plasma components or pharmaceutical excipients. Additionally, the suggested method was utilized efficiently for content uniformity test.
Blemish identification in Co-variance of Disease using Data Mining Techniques
Authors: Aneeshkumar A. S. 
Published: August 2022

Abstract
Data mining is an established domain used to identify influenced or associated aspects and its occurrence for the forecasting and future predictions in several fields. These information are statistically consistent, substantial facts and formerly unknown. Health care is one of the major data mining application area. In health related organizations, the techniques of data mining are used to observe characteristics of a disease or a particular medical condition and formation of its treatment. Liver enzymes are useful for accountable physical and chemical activities in the body and its variations will affects other relevant functionalities of our body. Diabetes Mellitus is a state, where the body does not produce enough insulin to convert blood sugar to energy. The influence of diabetes in liver disordered patients are the base of this study. Chi-squared automatic interaction detector is applied in this paper to determine the contribution of Liver disease to diabetes mellitus and vice-versa.
Associations of plasma aprepitant and its N-dealkylated metabolite with cachexia progression and clinical responses in head and neck cancer patients
Authors: Suzuki Yusuke , Naito Takafumi , Shibata Kaito , Hosokawa Seiji , Kawakami Junichi 
Published: August 2022

Abstract
Oral aprepitant has a large interindividual variation in clinical responses in advanced cancer. This study aimed to characterize plasma aprepitant and its N-dealkylated metabolite (ND-AP) based on the cachexia progression and clinical responses in head and neck cancer patients. Fifty-three head and neck cancer patients receiving cisplatin-based chemotherapy with oral aprepitant were enrolled. Serum albumin level was negatively correlated with the plasma concentrations of aprepitant at 24 hours after a 3-day aprepitant treatment. The patients with Glasgow Prognostic Score (GPS) 1 or 2 had higher plasma concentrations of total and free aprepitant than those with GPS 0. No difference was observed in the plasma concentration of ND-AP between the GPS classifications. The plasma interleukin-6 level was higher in patients with GPS 1 or 2 than 0. The absolute plasma concentration of free ND-AP was higher in patients without the delayed nausea, and its concentration to determine the occurrence was 18.9 ng/mL. The occurrence of delayed nausea had no relation with absolute plasma aprepitant. In conclusion, cancer patients with a lower serum albumin and progressive cachectic condition had a higher plasma aprepitant level. In contrast, plasma free ND-AP but not aprepitant was related to the antiemetic efficacy of oral aprepitant.
Quantitative Assessments of Finger Individuation with an Instrumented Glove
Authors: Conway Brian J , Taquet Léon , Boerger Timothy F , Cornell Sarah , Krucoff Kate B , Schmit Brian D , Krucoff Max O 
Published: August 2022

Abstract
Background:In clinical and research settings, hand dexterity is often assessed as finger individuation, or the ability to move one finger at a time. Despite its clinical importance, there is currently no standardized, sufficiently sensitive, or fully objective platform for these evaluations.Methods:Here we developed two novel individuation scores and tested them against a previously developed score (1) using a commercially available instrumented glove and data collected from 20 healthy adults. Participants performed individuation for each finger of each hand as well as whole hand open-close at two study visits separated by several weeks. Using the three individuation scores, intra-class correlation coefficients (ICC’s) and minimal detectable changes (MDC) were calculated. Individuation scores were further correlated with subjective assessments to assess validity.Results:We found that each score emphasizes different aspects of individuation performance while generating scores on the same scale (0 [poor] to 1 [ideal]). These scores are repeatable, but the quality of these metrics vary by both equation and finger of interest. For example, index finger intra-class correlation coefficients (ICC’s) were 0.90 (< 0.0001), 0.77 ([< 0.001), and 0.83 (p < 0.0001), while pinky finger ICC’s were 0.96 (p < 0.0001), 0.88 (p < 0.0001), and 0.81 (p < 0.001) for each score. Similarly, MDCs also vary by both finger and equation. In particular, thumb MDCs were 0.068, 0.14, and 0.045, while index MDCs were 0.041, 0.066, and 0.078. Furthermore, objective measurements correlated with subjective assessments of finger individuation quality for all three equations (ρ=-0.45, p < 0.0001; ρ=-0.53, p < 0.0001; ρ=-0.40, p < 0.0001).Conclusions:Here we evaluate the nuances of each objective scoring system and discuss ideal translational applications into motor physiology and rehabilitations labs, orthopedic hand and neurosurgery clinics, and even operating rooms for real-time objective scoring during peripheral nerve and awake brain operations for each equation. This work represents the first healthy participant data set for this translatable and objective measurement and scoring platform.
Afforestation strengthens aggregational differentiation of soil nutrients and microbiomes in erosive degraded ecosystem
Authors: Chen Peng , Wang Li , Li Jun-Ya , Wan Wenjie , Zhang Run-Qin , Liu Yi , Li Zhi-Guo 
Published: August 2022

Abstract
Aims
Afforestation has been viewed as the most effective natural method to restore the erosive degraded ecosystem. However, the effect of soil inherent heterogeneity on soil quality, microbial community dynamics and assembly after afforestation in rocky desertification area remains indistinct.
Methods
In the present study, we set up 3 standard quadrats for each soil type, i.e., bareland, farmland and woodland, in the study area and separated the soils into four aggregate size fractions. Soil nutrition status, enzymatic activities, bacterial and fungal community composition in different aggregate fractions were determined.
Results
Generally, afforestation promoted soil nutrients and enzyme activities, and strengthened their aggregational differentiation. Interestingly, the aggregational differentiation of bacterial alpha-diversity was more sensitive to afforestation than fungal alpha-diversity. Conversely, afforestation caused that more fungal taxa were susceptible to soil aggregates than bacterial taxa. In the bareland, deterministic process was the decisive factor for the bacterial community, while fungal community was determined by both stochastic and deterministic processes. Afforestation regulated the balance between stochastic and deterministic processes Dispersal limitation, belonging to stochastic process, determined bacterial community assembly; whereas, fungal community assembly was governed by variable selection belonging to deterministic process.
Conclusions
Afforestation on the bareland promoted the aggregation differentiation of soil nutrients, microbial community composition and diversity, and changed the mechanism of microbial community assembly in the rocky desertification area of Danjiangkou Reservoir. This study provides critical insights into the responses of soil nutrition and microbial community to vegetation restoration at the soil aggregate level.
Low-Complexity Optical Transmitter Design for Future Generations
Authors: Gunturu Chakravarthy , Valluri Sivaprasad 
Published: August 2022

Abstract
The burgeoning field of visible light communication (VLC) technology is seen as a possible complement to incumbent radio frequency (RF) systems, as it uses optical orthogonal frequency division multiplexing (OOFDM) to attain faster data rates to comply with 5G standards. Despite its benefits, the multicarrier structure of OOFDM acquires constructive additions at certain subcarrier intervals during the inverse fast Fourier transform (IFFT) operation, leading to increased peak values. Non-distorting peak-to-average power ratio (PAPR) reduction procedures, like as selective mapping (SLM), were confirmed to be the most effective method for lowering ineluctably severe PAPR amongst the other methods. The advent of numerous alternative candidates enhances computational complexity, thus form a major obstacle in SLM. To convert an input direct current-biased optical orthogonal frequency division multiplexing (DCO-OFDM) symbol into a series of candidates, the proposed SLM technique’s phase vectors are multiplied at a specific intermediate stage of IFFT. In top to this complexity reduction, the first stage IFFT output provides further reduction according to its conjugate symmetry property. The DCOOFDM signal, that has the smallest PAPR of all alternatives, is chosen for transmissions. According to the complexity analysis and simulation results, the computational complexity abatement strategy surpasses the conventional SLM (CSLM) technique that allows us to incorporate this technology into any future generation VLC systems.
Analytic Network Process for Local Scour Formulas Ranking with Parametric Sensitivity Analysis and Soil Class Clustering
Authors: Annad Mohamed , Lefkir Abdelouahab 
Published: August 2022

Abstract
Predicting scour depth around bridge piers during flood events was identified as one of the most important scientific interests of researchers dealing with local scour, wherein, for this purpose, a variety of empirical formulas were proposed. The redundancy and dissimilarity of these formulas turned the selection of the most appropriate one among them into a complicated task. This study focuses on developing a novel framework for comparing several formulas already available for local scour assessment. To achieve this purpose, 18 distinct formulas were selected and then tested using a large set of field data under three major particle size distributions that a streambed could comprise. The approval process is performed using the analytical network process, in which the conventional weights were revised with the help of several analyses, including statistical, sensitivity, and correlation. The findings of this study show that the effectiveness of a given formula varies depending on the class of soil studied, and the best performance is obtained for scouring formulas containing mainly geometrical parameters.
Synthesis of benzoimidazoquinazolinone and indolylxanthenone derivatives using Keggin- type heteropoly-11-molybdo-1-vanadophosphoric acid supported on Montmorillonite K-10 clay as catalyst: A green approach
Authors: Prasanna Antony Muthu , Kumaresan Murugan , Selvakumar Karuppaiah , Swaminathan Meenakshisundaram , Sami Ponnusamy 
Published: August 2022

AbstractA new green protocol for the synthesis of benzoimidazoquinazolinone and indolylxanthenone derivatives were attained under environmental-friendly solvent-free condition through a simple one-pot three component condensation reaction using 10% heteropoly-11-molybdo-1-vanadophosphoric acid (H4[PVMo11O40]) loaded on Montmorillonite K-10 clay material (PVMoK-10) as an efficient heterogeneous catalyst. The identification and characterization of the derivatives were done by physical as well as spectral techniques. Synthesis of ten derivatives of benzo[4,5]imidazo[2,1-b]quinazolin-1(2H)-one and two derivatives of 9-(1H-indol-3-yl)-2,3,4,9-tetrahydro-1H-xanthen-1-onewere successfully achieved using this protocol.A tentative reaction mechanism has also been proposed for the synthetic plans.
Classification of prostate cancer using Deep Learning approach and MobileNetV2 architecture
Authors: Mashak Neda Pirzad , Akbarizadeh Gholamreza , Farshidi Ebrahim 
Published: August 2022

Abstract
Since prostate cancer is one of the most important causes of mortality in today's society, the study of why and how to diagnose and predict them has received much attention from researchers. The collaboration of computer and medical experts offers a new solution in analyzing this data and obtaining useful and practical models, which is data mining. In fact, data mining, as one of the most important tools for data analysis and discovering the relationships between them and predicting the occurrence of events is one of the practical tools of researchers in this way. This study diagnoses and classifies prostate cancer using Deep Learning approach and MobileNetV2 architecture based on a method to identify the factors affecting this disease. In this study, data was taken from a database on the Brigham Hospital website. Also, in order to improve the methods of diagnosing prostate cancer, a feature-classification approach has been proposed, which has been evaluated using a data set related to clients' files. The proposed method after applying various classification methods on the available data including benign and malignant diagnosis and reaching an optimal method with relatively high accuracy using a faster R-CNN network to segment the area and later using architecture Various convolutional neural networks (CNNs) have been selected for feature extraction and set classification, increased processing speed. In addition, the MobileNetV2 architecture is used, which has the ability to achieve AUC in the range of 0.87 to 0.95 with acceptable performance, high processing speed and relative accuracy for the diagnosis of prostate cancer.
Effects of physical activity and diet quality on the prevalence and characteristics of obese and non-obese MAFLD in a US population
Authors: Wang Shuang , Wang Peng , Zhang Qiang , Luo Tingting , Qin Bo 
Published: August 2022

Abstract
Background: Clinical data on the prevalence of metabolic-associated fatty liver disease (MAFLD) in obese and non­­-obese patients in a multi-ethnic US population are limited Additionally, the effects of physical activity and diet quality on the risk of MAFLD remain unclear. We aimed to investigate the prevalence and clinical characteristics of MAFLD and the associations of physical activity (PA) and diet quality (DQ) with MAFLD risk.Methods: This cross-sectional study was conducted using the 2017–2018 NHANES databases. Overall, 5,533 participants with fatty liver disease identified by ultrasound were categorized into the non-MAFLD, obese-MAFLD, and non-obese-MAFLD groups.Results: The overall prevalence of MAFLD among the participants was 41.9%; 28.6% of all the participants were obese and 13.4% were non-obese. Among those with MAFLD, 67.1% (95% confidence interval (CI): 59.1%–75.1%) were obese and 32.9% (95% CI: 29.1%–36.7%) were non-obese. Obese and non-obese MAFLD were more common in participants aged 50–64 years (31.8% and 34.1%, respectively; p < 0.0001) and in men (30.6% vs. 16.4%, respectively). Non-obese MAFLD was more common in Asians (27.2%), while obese MAFLD was more common in Blacks (66.3%). Metabolic comorbidities were more common in those with obese MAFLD who also had more advanced fibrosis. High-quality diet (HQD) and increased PA were associated with reduced odds of developing obese and non-obese MAFLD (odds ratio (OR) and 95% CI: 0.67 [0.51–0.88] and 0.57 [0.47–0.69]; 0.62 [0.43–0.90] and 0.63 [0.46–0.87], respectively). PA and a HQD significantly lowered the risk for obese and non-obese MAFLD (OR and 95% CI: 0.46 [0.33–0.64] and 0.42 [0.31–0.57]).Conclusion: Individuals with obese and non-obese MAFLD accounted for a high proportion of the US population. HQD and PA were strongly associated with a lower risk for MAFLD.
Isolation and Identification of Cadmium-Reducing Bacteria from Contaminated Coastal Sediment in The Northern Coast of Indramayu, Indonesia
Authors: Ihsan Yudi N. , Fellatami Kalysta , Mingguo Jiang , Ismail Azimah , Pribadi Tri Dewi K , Pasaribu Buntora 
Published: August 2022

Abstract
Cadmium (Cd) is one of the heavy metals pollutants and its accumulation impacted the sustainability of marine organisms. The aim of current research was to isolate and identify the cadmium-reducing bacteria from contaminated coastal sediment in Karangsong port, Indramayu, Indonesia. The isolates were investigated for its potential to reduce cadmium showed the cadmium reduction drastically up to 50% at 6 hours treated under different cadmium concentration of 0,5, 1, and 1,5 ppm, respectively. Morphological characteristics were observed in most of isolates. Out of 8 isolates, two selected strains such as Karangsong Cd3 and Cd7 were identified by 16S rRNA sequencing as Pseudoalteromonas issachenkonii strain KMM 3549 (Acc. No. NR 025139.1) and Pseudoalteromonas tetraodonis GFC strain IAM 14160 (Acc. No. NR 041787.1), respectively. The cadmium resistance profile showed that the selected isolates were resistant to various concentration of cadmium (Cd). These results suggest that the Karangsong Cd 3 and Cd 7 could facilitate the new references of future microbial application for bioremediations efforts.
Investigation of CYP3A4*22 polymorphism effects on the depressed treatment by citalopram and sertraline
Authors: Mohammadi Saeid , Beh-Pajooh Abbas , Ahmadimanesh Mahnaz , Amini Mohsen , Ghazi-Khansari Mahmoud , Moallem Seyed Adel , Hosseini Rohollah , Ghahremani Mohammad Hossein 
Published: August 2022

Abstract
Drug response variability due to interpersonal genetic differences is a new and vital research interest. Many single nucleotide polymorphisms (SNPs) have been characterized for CYP3A4 (alleles *1–*22). PCR-RFLP method performed to check CYP3A4*22 polymorphism as an important allele in drug metabolism. 45 Blood samples were collected from the Iranian population with the depressive disorder. Hamilton Depression Rating Scale (HAM-D) used for evaluate the severity of depression before and after 100 days of treatment. Among the individuals, 40 (91.2%) patients showed wild type (CC) and 5 (91.2%) patients were heterozygous (CT) for the CYP3A4*22 allele. Comparing the rate of decrease in HAM-D score between two genotypic groups in CYP3A4*22 showed a significant difference (p < 0.03). This comparison demonstrated that patients with heterozygote genotype of CYP3A4*22 have improved by SSRIs lower than wild-type of patients. It can be concluded that CYP3A4*22 genotype and dose adjustment can help improve drug treatment.