Spectroscopic solutions for generating new global soil information.

While global efforts to operationalize soil spectroscopy are progressing, cooperation is needed to fully leverage its potential for generating digital soil information to support sustainable soil management worldwide. The Global Soil Laboratory Network's soil spectroscopy initiative (GLOSOLAN-Spec), led by the Food and Agriculture Organization of the United Nations (FAO) through its Global Soil Partnership (GSP), is dedicated to the further development and adoption of soil spectroscopy by fostering international collaboration via a scientific community of practice to produce accurate and reliable soil information for sustainable soil management and decision-making. To support this effort, we, a global consortium of soil scientists under the auspices of the International Union of Soil Sciences (IUSS) and GLOSOLAN-Spec, aim to address seven key challenges hindering the adoption of soil spectroscopy worldwide.

Potential effect of Irisin on sarcopenia: a systematic review.

Objective: Sarcopenia, a progressive musculoskeletal disorder associated with aging, is characterized by the deterioration of muscle mass, strength, and physical performance. This condition significantly increases the risk of debilitating consequences including functional impairment, diminished life quality, and increased mortality. With the progress of aging, it will affect a large number of people in the world and bring many problems.

Research hotspots and trends of sarcopenia in orthopaedic surgery: a bibliometric analysis from 2003 to 2023.

Purpose: This study aimed to evaluate the current bibliometric characteristics, progress, and hotspots of cross-sectional research on orthopaedic surgery and sarcopenia over the past two decades.

Methods: Publications related to sarcopenia and orthopaedic surgery, published between January 2003 and December 2023, were screened the Web of Science Core Collection. The bibliometric analysis and data visualization processes-including assessments of authors, countries, institutions, keywords, and references-were conducted with Microsoft Office Excel, VOSviewer, CiteSpace, and the Bibliometrix (R package).

Rethinking femoral neck anteversion assessment: a novel automated 3D CT method compared to traditional manual techniques.

Purpose: To evaluate the accuracy and reliability of a novel automated 3D CT-based method for measuring femoral neck anteversion (FNA) compared to three traditional manual methods.

Methods: A total of 126 femurs from 63 full-length CT scans (35 men and 28 women; average age: 52.0 ± 14.

Integrating sensor fusion with machine learning for comprehensive assessment of phenotypic traits and drought response in poplar species.

Increased drought frequency and severity in a warming climate threaten the health and stability of forest ecosystems, influencing the structure and functioning of forests while having far-reaching implications for global carbon storage and climate regulation. To effectively address the challenges posed by drought, it is imperative to monitor and assess the degree of drought stress in trees in a timely and accurate manner. In this study, a gradient drought stress experiment was conducted with poplar as the research object, and multimodal data were collected for subsequent analysis.

Hip structural analysis parameters are not associated with the risk of postmenopausal female second hip fracture: a retrospective study.

Purpose: Postmenopausal female patients with a history of a single hip fracture are at higher risk of a second fracture. The poorer clinical outcomes of this patient group warrants evaluating the risk of experiencing a second hip fracture. Therefore, this study aimed to investigate the effectiveness of hip structural analysis (HSA) in assessing the risk of second hip fracture in postmenopausal females.

A global soil spectral grid based on space sensing.

Soils provide a range of essential ecosystem services for sustaining life, including climate regulation. Advanced technologies support the protection and restoration of this natural resource. We developed the first fine-resolution spectral grid of bare soils by processing a spatiotemporal satellite data cube spanning the globe.

Adiponectin ameliorates traumatic brain injury-induced ferroptosis through AMPK- ACC1 signaling pathway.

Various forms of neuronal death contribute to neurological injury after traumatic brain injury (TBI), leading to irreversible neurological deficits. Among these, ferroptosis is a form of regulated cell death characterized by the accumulation of iron-dependent lipid hydroperoxides and induced by the incorporation of polyunsaturated fatty acids (PUFAs) into cellular membranes. Adiponectin (APN), a cytokine secreted by adipocytes, have showed neuroprotective effects by binding to adiponectin receptors (AdipoRs), which are widely expressed in the central nervous system.

Building a near-infrared (NIR) soil spectral dataset and predictive machine learning models using a handheld NIR spectrophotometer.

This near-infrared spectral dataset consists of 2,106 diverse mineral soil samples scanned, on average, on six different units of the same low-cost commercially available handheld spectrophotometer. Most soil samples were selected from the USDA NRCS National Soil Survey Center-Kellogg Soil Survey Laboratory (NSSC-KSSL) soil archives to represent the diversity of mineral soils (0-30 cm) found in the United States, while 90 samples were selected from Ghana, Kenya, and Nigeria to represent available African soils in the same archive. All scanning was performed on dried and sieved (<2 mm) soil samples.

Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review.

This systematic review critically evaluates the current state and future potential of real-time, end-to-end smart, and automated irrigation management systems, focusing on integrating the Internet of Things (IoTs) and machine learning technologies for enhanced agricultural water use efficiency and crop productivity. In this review, the automation of each component is examined in the irrigation management pipeline from data collection to application while analyzing its effectiveness, efficiency, and integration with various precision agriculture technologies. It also investigates the role of the interoperability, standardization, and cybersecurity of IoT-based automated solutions for irrigation applications.

Repair of Cartilage Defects Using ATDC5 Cells Treated with BBR Loaded in Chitosan Hydrogel.

In this study, we explore the cartilage defect repair mechanism by phosphocreatine-grafted chitosan hydrogels loaded with berberine-treated ATDC5 cells (CSMP@BBR@ATDC5). Under the optimal concentrations of LPS and BBR ideal conditions, ATDC5 cell toxicity and proliferation were detected with AM/PI and EdU staining. Additionally, qPCR and Western blot were employed to detect the expression of the SIRT1/BMP4 signaling pathway and chondrogenic-related factors in ATDC5 cells.

Prognostic nutritional index (PNI) is an independent predictor for functional outcome after hip fracture in the elderly: a prospective cohort study.

Unlabelled: The prognostic nutritional index (PNI) is a useful tool for assessing nutritional status using serum albumin and lymphocyte count. This study indicates that a higher preoperative PNI correlates with improved mobility and health-related quality of life during the initial postoperative period in elderly patients with hip fractures.

Purpose: To investigate the prognostic value of the prognostic nutritional index (PNI) in predicting mobility and health-related quality of life (HRQoL) in elderly hip fracture patients after surgery.

GSP-AI: An AI-Powered Platform for Identifying Key Growth Stages and the Vegetative-to-Reproductive Transition in Wheat Using Trilateral Drone Imagery and Meteorological Data.

Wheat () is one of the most important staple crops worldwide. To ensure its global supply, the timing and duration of its growth cycle needs to be closely monitored in the field so that necessary crop management activities can be arranged in a timely manner. Also, breeders and plant researchers need to evaluate growth stages (GSs) for tens of thousands of genotypes at the plot level, at different sites and across multiple seasons.

Association between admission inflammatory indicators and 3-year mortality risk in geriatric patients after hip fracture surgery: a retrospective cohort study.

Background: Recent research indicates that the monocyte lymphocyte ratio (MLR), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), C-reactive protein (CRP), and systemic immune-inflammation index (SII) may serve as valuable predictors of early postoperative mortality in elderly individuals with hip fractures. The primary objective of the study was to examine the association between preoperative MLR, NLR, PLR, CRP, and SII levels and 3-year mortality risk in geriatric patients after hip fracture surgery.

Patients And Methods: The study included patients aged 65 years or older who underwent hip fracture surgery between November 2018 and November 2019.

Prognostic Nutritional Index (PNI) as an Independent Predictor of 3-Year Postoperative Mortality in Elderly Patients with Hip Fracture: A Post hoc Analysis of a Prospective Cohort Study.

Objective: The prognostic nutritional index (PNI) has been reported as a significant predictor in various diseases. However, the prognostic value of the PNI in geriatric hip fracture patients has not been thoroughly evaluated. This study aimed to investigate the association between admission PNI and 3-year mortality in those patients.

Preoperative Thyroid-Stimulating Hormone Levels and Three-Year Mortality in Elderly Hip Fracture Patients: Insights from a Prospective Cohort Study.

BACKGROUND It is unclear whether preoperative thyroid-stimulating hormone (TSH) level is correlated with long-term mortality in the elderly after hip fracture surgery. We aimed to assess the association between TSH levels and 3-year mortality in these patients. MATERIAL AND METHODS We enrolled patients aged 65 and above who had hip fracture surgery and thyroid function tests upon admission from 2018 to 2019.

Bagging Improves the Performance of Deep Learning-Based Semantic Segmentation with Limited Labeled Images: A Case Study of Crop Segmentation for High-Throughput Plant Phenotyping.

Advancements in imaging, computer vision, and automation have revolutionized various fields, including field-based high-throughput plant phenotyping (FHTPP). This integration allows for the rapid and accurate measurement of plant traits. Deep Convolutional Neural Networks (DCNNs) have emerged as a powerful tool in FHTPP, particularly in crop segmentation-identifying crops from the background-crucial for trait analysis.

FNDC5 prevents oxidative stress and neuronal apoptosis after traumatic brain injury through SIRT3-dependent regulation of mitochondrial quality control.

Mitochondrial dysfunction and oxidative stress are important mechanisms for secondary injury after traumatic brain injury (TBI), which result in progressive pathophysiological exacerbation. Although the Fibronectin type III domain-containing 5 (FNDC5) was reported to repress oxidative stress by retaining mitochondrial biogenesis and dynamics, its possible role in the secondary injury after TBI remain obscure. In present study, we observed that the level of serum irisin (the cleavage product of FNDC5) significantly correlated with the neurological outcomes of TBI patients.

Inter-rater variability and repeatability in the assessment of the Tanner-Whitehouse classification of hand radiographs for the estimation of bone age.

Objective: To determine which bones and which grades had the highest inter-rater variability when employing the Tanner-Whitehouse (T-W) method.

Materials And Methods: Twenty-four radiologists were recruited and trained in the T-W classification of skeletal development. The consistency and skill of the radiologists in determining bone development status were assessed using 20 pediatric hand radiographs of children aged 1 to 18 years old.

Muscle density, but not size, is independently associated with cognitive health in older adults with hip fractures.

Emerging evidence indicates a complex interplay between skeletal muscle and cognitive function. Despite the known differences between muscle quantity and quality, which can be measured via computed tomography (CT), the precise nature of their associations with cognitive performance remain underexplored. To investigate the links between muscle size and density and cognitive impairment (CI) in the older adults with hip fractures, we conducted a post hoc, cross-sectional analysis within a prospective cohort study on 679 patients with hip fractures over 65.

Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms.

Unmanned aerial vehicle (UAV)-based imagery has become widely used to collect time-series agronomic data, which are then incorporated into plant breeding programs to enhance crop improvements. To make efficient analysis possible, in this study, by leveraging an aerial photography dataset for a field trial of 233 different inbred lines from the maize diversity panel, we developed machine learning methods for obtaining automated tassel counts at the plot level. We employed both an object-based counting-by-detection (CBD) approach and a density-based counting-by-regression (CBR) approach.