Microbiome Structures and Beneficial Bacteria in Soybean Roots Under Field Conditions of Prolonged High Temperatures and Drought Stress.

Drought stress has a significant impact on agricultural productivity, affecting key crops such as soybeans, the second most widely cultivated crop in the United States. Endophytic and rhizospheric microbial diversity analyses were conducted with soybean plants cultivated during the 2023 growing season amid extreme weather conditions of prolonged high temperatures and drought in Louisiana. Specifically, surviving and non-surviving soybean plants were collected from two plots of a Louisiana soybean field severely damaged by extreme heat and drought conditions in 2023.

Palladium-Catalyzed Addition of Aryl Halides to -Sulfinylamines for the Synthesis of Sulfinamides.

Sulfinamides are versatile, synthetically useful intermediates, and final motifs. Traditional methods to synthesize sulfinamides generally require substrates with preinstalled sulfur centers. However, these precursors have limited commercial availability, and the associated synthetic routes often require harsh reaction conditions and highly reactive reagents, thus severely limiting their application.

Deciphering genetic factors contributing to enhanced resistance against Cercospora leaf blight in soybean ( L.) using GWAS analysis.

Cercospora leaf blight (CLB), caused by , , and , is a significant soybean [ (L.) Merr.] disease in regions with hot and humid conditions causing yield loss in the United States and Canada.

Deep learning based linear energy transfer calculation for proton therapy.

This study aims to address the limitations of traditional methods for calculating linear energy transfer (LET), a critical component in assessing relative biological effectiveness (RBE). Currently, Monte Carlo (MC) simulation, the gold-standard for accuracy, is resource-intensive and slow for dose optimization, while the speedier analytical approximation has compromised accuracy. Our objective was to prototype a deep-learning-based model for calculating dose-averaged LET (LET) using patient anatomy and dose-to-water (D) data, facilitating real-time biological dose evaluation and LET optimization within proton treatment planning systems.

Knowledge-based quality assurance of a comprehensive set of organ at risk contours for head and neck radiotherapy.

Introduction: Manual review of organ at risk (OAR) contours is crucial for creating safe radiotherapy plans but can be time-consuming and error prone. Statistical and deep learning models show the potential to automatically detect improper contours by identifying outliers using large sets of acceptable data (knowledge-based outlier detection) and may be able to assist human reviewers during review of OAR contours.

Methods: This study developed an automated knowledge-based outlier detection method and assessed its ability to detect erroneous contours for all common head and neck (HN) OAR types used clinically at our institution.

Automated target placement for VMAT lattice radiation therapy: enhancing efficiency and consistency.

. An algorithm was developed for automated positioning of lattice points within volumetric modulated arc lattice radiation therapy (VMAT LRT) planning. These points are strategically placed within the gross tumor volume (GTV) to receive high doses, adhering to specific separation rules from adjacent organs at risk (OARs).

Novel genetic resources associated with sucrose and stachyose content through genome-wide association study in soybean ( (L.) Merr.).

The nutritional value of soybean [ (L.) Merr.] for animals is influenced by soluble carbohydrates, such as sucrose and stachyose.

Vibrations and Phase Stability in Mixed Valence Antimony Oxide.

α-SbO (cervantite) and β-SbO (clinocervantite) are mixed valence compounds with equal proportions of Sb and Sb as represented in the formula SbSbO. Their structure and properties can be difficult to calculate owing to the Sb lone-pair electrons. Here, we present a study of the lattice dynamics and vibrational properties using a combination of inelastic neutron scattering, Mössbauer spectroscopy, nuclear inelastic scattering, and density functional theory (DFT) calculations.

(Mg,Mn,Fe,Co,Ni)O: A rocksalt high-entropy oxide containing divalent Mn and Fe.

High-entropy oxides (HEOs) have aroused growing interest due to fundamental questions relating to their structure formation, phase stability, and the interplay between configurational disorder and physical and chemical properties. Introducing Fe(II) and Mn(II) into a rocksalt HEO is considered challenging, as theoretical analysis suggests that they are unstable in this structure under ambient conditions. Here, we develop a bottom-up method for synthesizing Mn- and Fe-containing rocksalt HEO (FeO-HEO).

Research Publication Rates Are Age- and Era-Dependent for Radiation Oncologists From Highly Ranked NCI-Designated Cancer Centers.

Purpose: Quantitative bibliometrics are increasingly used to evaluate faculty research productivity. This study benchmarks publication rates for radiation oncologists from highly ranked National Cancer Institute-designated cancer centers and reveals how productivity changes over the arc of a career and of the field over time.

Methods And Materials: Peer-reviewed articles from 1970 to 2022 were obtained using Scopus for the 348 radiation oncologists listed as faculty for the top 10 cancer hospitals ranked by US News and World Report in 2022.

The Role of Decision-Making Capacity in Gathering Collateral Information.

AbstractPsychiatric disorders usually do not have characteristic physical exam findings, imaging, or lab values. Psychiatrists therefore diagnose and treat patients largely based on reported or observed behavior, which makes collateral information from a patient's close contacts especially pertinent to an accurate diagnosis. The American Psychiatric Association considers communication with patients' supports a best practice when the patient provides informed consent or does not object to the communication.

Automated testing platform for radiotherapy treatment planning scripts.

Realizing the potential of user-developed automation software interacting with a treatment planning system (TPS) requires rigorous testing to ensure patient safety and data integrity. We developed an automated test platform to allow comparison of the treatment planning database before and after the execution of a write-enabled script interacting with a commercial TPS (Eclipse, Varian Medical Systems, Palo Alto, CA) using the vendor-provided Eclipse Scripting Application Programming Interface (ESAPI). The C#-application known as Write-Enable Script Testing Engine (WESTE) serializes the treatment planning objects (Patient, Structure Set, PlanSetup) accessible through ESAPI, and then compares the serialization acquired before and after the execution of the script being tested, documenting identified differences to highlight the changes made to the treatment planning data.

Comprehensive Studies of Magnetic Transitions and Spin-Phonon Couplings in the Tetrahedral Cobalt Complex Co(AsPh)I.

A combination of inelastic neutron scattering (INS), far-IR magneto-spectroscopy (FIRMS), and Raman magneto-spectroscopy (RaMS) has been used to comprehensively probe magnetic excitations in Co(AsPh)I (), a reported single-molecule magnet (SMM). With applied field, the magnetic zero-field splitting (ZFS) peak (2') shifts to higher energies in each spectroscopy. INS placed the ZFS peak at 54 cm, as revealed by both variable-temperature (VT) and variable-magnetic-field data, giving results that agree well with those from both far-IR and Raman studies.

Temperature and strain sensitivities of a groove bonded fiber Bragg grating at room and cryogenic temperatures.

Optical fiber Bragg gratings (FBGs) are well suited for applications as temperature or/and strain sensors in harsh environments, e.g., detecting thermal hot spots in high-temperature superconductor (HTS) fusion energy magnets at cryogenic temperatures and high radiation environments.

Scalable radiotherapy data curation infrastructure for deep-learning based autosegmentation of organs-at-risk: A case study in head and neck cancer.

In this era of patient-centered, outcomes-driven and adaptive radiotherapy, deep learning is now being successfully applied to tackle imaging-related workflow bottlenecks such as autosegmentation and dose planning. These applications typically require supervised learning approaches enabled by relatively large, curated radiotherapy datasets which are highly reflective of the contemporary standard of care. However, little has been previously published describing technical infrastructure, recommendations, methods or standards for radiotherapy dataset curation in a holistic fashion.

Diverse saturated heterocycles from a hydroacylation/conjugate addition cascade.

Rhodium-catalyzed hydroacylation using alkynes substituted with pendant nucleophiles, delivers linear α,β-unsaturated enone intermediates with excellent regioselectivity. These adducts are used to construct a broad range of diversely substituted, saturated O-, N- and S-heterocycles in a one-pot process. Judicious choice of cyclisation conditions enabled isolation of O-heterocycles with high levels of diastereoselectivity.

Azine-N-oxides as effective controlling groups for Rh-catalysed intermolecular alkyne hydroacylation.

Heterocycle-derived aldehydes are challenging substrates in metal-catalysed hydroacylation chemistry. We show that by using azine N-oxide substituted aldehydes, good reactivity can be achieved, and that they are highly effective substrates for the intermolecular hydroacylation of alkynes. Employing a Rh(i)-catalyst, we achieve a mild and scalable aldehyde C-H activation, that permits the coupling with unactivated terminal alkynes, in good yields and with high regioselectivities (up to >20 : 1 l:b).

Multidisciplinary Perspectives of Current Approaches and Clinical Gaps in the Management of Hyperphosphatemia.

Population-based studies have shown that most patients with advanced chronic kidney disease (CKD) do not have optimal phosphate levels. Meta-analyses suggest that there is a morbidity and mortality benefit associated with the lowering of serum phosphate levels. However, to date there is no conclusive evidence from randomized controlled trials (RCTs) that lowering serum phosphate levels reduces the risk of morbidity and mortality.

Implementation of free breathing respiratory amplitude-gated treatments.

Purpose: The purpose of this study was to provide guidance in developing and implementing a process for the accurate delivery of free breathing respiratory amplitude-gated treatments.

Methods: A phase-based 4DCT scan is acquired at time of simulation and motion is evaluated to determine the exhale phases that minimize respiratory motion to an acceptable level. A phase subset average CT is then generated for treatment planning and a tracking structure is contoured to indicate the location of the target or a suitable surrogate over the planning phases.

Navigating Care From Afar: Ethical Considerations for Police Welfare Checks.

The clinical practice of contacting law enforcement to perform safety welfare checks for persons who have missed psychiatry appointments is commonly regarded as benign. However, in nonemergency situations, these interventions may carry greater risk than is usually assumed, especially if the person whose welfare is being checked belongs to a racial-ethnic minority group, and there is little evidence on the safety and effectiveness of these interventions. This Open Forum presents a case analysis to examine the central ethical considerations for these situations.

Applying Unconventional Spectroscopies to the Single-Molecule Magnets, Co(PPh ) X (X=Cl, Br, I): Unveiling Magnetic Transitions and Spin-Phonon Coupling.

Large separation of magnetic levels and slow relaxation in metal complexes are desirable properties of single-molecule magnets (SMMs). Spin-phonon coupling (interactions of magnetic levels with phonons) is ubiquitous, leading to magnetic relaxation and loss of memory in SMMs and quantum coherence in qubits. Direct observation of magnetic transitions and spin-phonon coupling in molecules is challenging.

Effect of Planting Date and Cultivar Maturity in Edamame Quality and Harvest Window.

Edamame is a food-grade soybean [ (L.) Merr.] that is harvested immature between the R6 and R7 reproductive stages.