Research on noise-induced hearing loss based on functional and structural MRI using machine learning methods by Minghui Lv, Liping Wang, Ranran Huang, Aijie Wang, Yunxin Li, Guowei Zhang

“…The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sMRI) by applying machine learning methods. fMRI indices such as the amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), degree of centrality (DC), and sMRI indices such as gray matter volume (GMV), white matter volume (WMV), and cortical thickness were extracted from each brain region. …”
Get full text

A Novel First-Order Fuzzy Rules-Based Forecasting System Using Distance Measures Approach for Financial Market Forecasting by Shahbaz Gul Hassan, Tran Thi Kieuvan, Shuangyin Liu, Harish Garg, Munawar Hassan, Shafqat Iqbal

“…As an illustration, this study presented an analysis of a new fuzzy time-series (FTS) approach and comparison with traditional forecasting models for prediction of gram pulse production. Taking into consideration the theory of fuzzy sets, FTS, fuzzy rules, triangular membership functions, distance measures, and modified weighted average method, a robust and effective fuzzy rules-based methodology was developed for the prediction of time-series data regarding crop production and share prices. …”
Get full text

Maternal Dietary Patterns and Gestational Diabetes Risk: A Case-Control Study by Fatemeh Sedaghat, Mahdieh Akhoondan, Mehdi Ehteshami, Vahideh Aghamohammadi, Nila Ghanei, Parvin Mirmiran, Bahram Rashidkhani

“…GDM was diagnosed using a 100-gram, 3-hour oral glucose tolerance test. Dietary pattern was identified by factor analysis. …”
Get full text

Antibacterial and antibiofilm activity of peptide PvGBP2 against pathogenic bacteria that contaminate Auricularia auricular culture bags by Shen Yang, Zijin Yuan, Jude Juventus Aweya, Shanggui Deng, Wuyin Weng, Yueling Zhang, Guangming Liu

“…In this study, 5 species of bacteria, mainly gram-positive bacteria including three species of Bacillus spp., Arthrobacter arilaitensis and Staphylococcus warneri, were isolated and identified from bacteria-contaminated A. auricular culture bags. …”
Get full text

Stable Agrobacterium-Mediated Transformation of Maritime Pine Based on Kanamycin Selection by José M. Alvarez, Ricardo J. Ordás

“…The highest transformation efficiency (11.4 events per gram of fresh mass) was achieved when a vigorously growing embryonal mass (embryogenic line L01) was cocultivated with Agrobacterium strain AGL1 at the optical density (OD600 nm) of 0.3 for 72 h. …”
Get full text

HISTOMORPHOLOGICAL ENHANCEMENT OF THE VAGINAL WALL IN DEHYDROEPIANDROSTERONE-TREATED POST-OVARIECTOMIZED WISTAR RATS by Lis Widodo Peni, Pilar Menara Falah, Yudha Nurdian

“…Method: This experiment utilized 36 wistar rats aged 10 - 12 weeks with a body weight of 180 - 200 grams. The rats were randomly divided into two groups with an equal number of members. …”
Get full text

Planning Strategies for Increasing the Occupancy Rate of Green Open Space Based on Urban Geographic Data in Macau: An Investigation of Ultra-High-Density Cities by Jitai Li, Fan Lin, Hongcan Cui, Yile Chen, Shuai Yang

“…On the other hand, in order to improve the problem of poor living conditions in the high-density city of Macau, the study proposes to make use of the unutilized Macau Largo space and carry out the optimization and transformation of the Largo space from “gray to green”, so as to release a large amount of green open space and enhance the GOSOR value of the high-density street area of Macau Peninsula.…”
Get full text

Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

“…This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement.…”
Get full text

Port Capability Evaluation from the Perspective of Supply Chain by Leijie Zhang, Sijia Qu, Jin Dai

“…Then, this paper uses the analytic hierarchy process to determine the weight coefficients of each evaluation index and uses the gray cluster analysis method of the triangular whitening weight function based on the center point to establish a qualitative and quantitative port capacity evaluation model from the perspective of the supply chain. …”
Get full text

Development of Antibacterial and Halochromic Textiles by Modification of Emodin from Japanese Knotweed by Martina Avbelj, Monika Horvat Zagorec, Hrvoje Petković, Marija Gorjanc, Jernej Iskra

“…The dyed textiles showed significant antibacterial activity against Gram-positive Staphylococcus aureus. Emodin is also present in Japanese knotweed, which is one of the most invasive alien plant species in the world and poses a major ecological and environmental problem in Europe. …”
Get full text

Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment by Qiongling Li, Xinwei Li, Xuetong Wang, Yuxia Li, Kuncheng Li, Yang Yu, Changhao Yin, Shuyu Li, Ying Han

“…Previous studies have demonstrated that amnestic mild cognitive impairment (aMCI) has disrupted properties of large-scale cortical networks based on cortical thickness and gray matter volume. However, it is largely unknown whether the topological properties of cortical networks based on geometric measures (i.e., sulcal depth, curvature, and metric distortion) change in aMCI patients compared with normal controls because these geometric features of cerebral cortex may be related to its intrinsic connectivity. …”
Get full text

Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models by Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun

“…This study proposes a method for predicting yields in China’s major winter wheat-producing regions using MOD13A1 data and a deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. By adjusting the key parameters of the Convolutional Neural Network (CNN) with IGWO, the prediction accuracy is significantly enhanced. …”
Get full text

Determination of bacterial endotoxins in parenteral solutions produced on a small scale in a clinical hospital by Renata Bozhinovska Popovska, Tatjana Gjurichikj, Branislava Janeva, Jelena Acevska, Aneta Dimitrovska

“…The gel-clot LAL method and turbidimetric kinetic method were applied as techniques for determination of endotoxin from Gram – negative bacteria in a large volume of 0.9% NaCl solution for infusion. …”
Get full text

Mapping and modeling age-related changes in intrinsic neural timescales by Kaichao Wu, Leonardo L. Gollo

“…We mapped intrinsic timescales and gray matter volume (GMV) using magnetic resonance imaging (MRI) in young and elderly adults. …”
Get full text

Development and Validation of a Decision-Making Stratification Algorithm to Optimize the Use of Rapid Diagnostic Testing for Patients with Staphylococcus Bacteremia by Thamer A. Almangour, Abdullah A. Alhifany, Deanne E. Tabb

“…An additional call to the infectious disease (ID) pharmacy service occurred for all positive blood cultures with Gram-positive cocci in clusters (GPCC). The ID pharmacy service investigated each case using a prespecified stratification algorithm to minimize unnecessary use of rapid identification testing. …”
Get full text

Brucellosis Presenting with Febrile Pancytopenia: An Atypical Presentation of a Common Disease and Review of Brucellosis by Carina Chang, Bryce D. Beutler, Mark B. Ulanja, Chukwudum Uche, Milan Zdrnja

“…Brucellosis is a febrile zoonotic disease caused by one of several species of the Gram-negative coccobacillus Brucella. It is endemic to the Middle East, sub-Saharan Africa, and Central America. …”
Get full text

A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels by Tao Jin, Jiaming Liu

“…A Capsule Network is designed to adaptively adjust the importance of different feature channels, including N-gram convolutional layers, selective kernel network layers, primary capsule layers, convolutional capsule layers, and fully connected capsule layers, aiming to enhance the model’s ability to capture semantic information of text across different feature channels. …”
Get full text

White Matter Atrophy in Patients with Mesial Temporal Lobe Epilepsy: Voxel-Based Morphometry Analysis of T1- and T2-Weighted MR Images by Barbara Braga, Clarissa L. Yasuda, Fernando Cendes

“…MRI voxel-based morphometry (VBM) of T1-weighted images has revealed a widespread pattern of gray matter (GM) and white matter (WM) atrophy in MTLE. …”
Get full text

Vermicompost quality and earthworm reproduction in different organic waste substrates by Saeed Mohammad Alipour, Ebrahim Fataei, Fatemeh Nasehi, Ali Akbar Imani

“…We investigated the growth and reproduction of earthworms and the characteristics of vermicompost produced on different organic wastes and residues represented by carrot pulp (C), potato peel (P), vegetables (V) and sawdust (S) blended with cattle manure (as the main substrate) at two levels of 100 and 150 grams of each treatment in two kilograms of manure. …”
Get full text

Postnatal Growth Patterns in a Chilean Cohort: The Role of SES and Family Environment by D. E. Kang Sim, M. Cappiello, M. Castillo, B. Lozoff, S. Martinez, E. Blanco, S. Gahagan

“…During the first year, weight and length gain averaged 540 grams/month and 6.5 cm/month, respectively. In the path analysis model for weight gain, higher SES and a better physical environment were positively related to higher maternal warmth, which in turn was associated with higher average weight gain. …”
Get full text