Machine-Learning-Assisted Design of Deep Eutectic Solvents Based on Uncovered Hydrogen Bond Patterns.

Non-ionic deep eutectic solvents (DESs) are non-ionic designer solvents with various applications in catalysis, extraction, carbon capture, and pharmaceuticals. However, discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES formation. The search for DES relies heavily on intuition or trial-and-error processes, leading to low success rates or missed opportunities.

DiffusionCT: Latent Diffusion Model for CT Image Standardization.

Computed tomography (CT) is one of the modalities for effective lung cancer screening, diagnosis, treatment, and prognosis. The features extracted from CT images are now used to quantify spatial and temporal variations in tumors. However, CT images obtained from various scanners with customized acquisition protocols may introduce considerable variations in texture features, even for the same patient.

Cross-Vendor CT Image Data Harmonization Using CVH-CT.

While remarkable advances have been made in Computed Tomography (CT), most of the existing efforts focus on imaging enhancement while reducing radiation dose. How to harmonize CT image data captured using different scanners is vital in cross-center large-scale radiomics studies but remains the boundary to explore. Furthermore, the lack of paired training image problem makes it computationally challenging to adopt existing deep learning models.

STAN-CT: Standardizing CT Image using Generative Adversarial Networks.

Computed Tomography (CT) plays an important role in lung malignancy diagnostics, therapy assessment, and facilitating precision medicine delivery. However, the use of personalized imaging protocols poses a challenge in large-scale cross-center CT image radiomic studies. We present an end-to-end solution called STAN-CT for CT image standardization and normalization, which effectively reduces discrepancies in image features caused by using different imaging protocols or using different CT scanners with the same imaging protocol.

Radiation induced DNA damage and its protection by a gadolinium(III) complex: Spectroscopic, molecular docking and gel electrophoretic studies.

The current work describes the efficacy of an artificially synthesized Gd(III) complex as a potential radioprotecting molecule. The work involves utilization of spectroscopic and electrophoretic techniques to investigate the radioprotecting behavior of the Gd(III) complex. Spectroscopic studies revealed that the complex interacted strongly with DNA while molecular docking studies suggested groove binding through H-bond formation and other non-covalent interactions.

Groundwater arsenic contamination in Bangladesh-21 Years of research.

Department of Public Health Engineering (DPHE), Bangladesh first identified their groundwater arsenic contamination in 1993. But before the international arsenic conference in Dhaka in February 1998, the problem was not widely accepted. Even in the international arsenic conference in West-Bengal, India in February, 1995, representatives of international agencies in Bangladesh and Bangladesh government attended the conference but they denied the groundwater arsenic contamination in Bangladesh.

Synthesis and structural characterization of dioxomolybdenum and dioxotungsten hydroxamato complexes and their function in the protection of radiation induced DNA damage.

The synthesis and structural characterization of two novel dioxomolybdenum(VI) (1) and dioxotungsten(VI) (2) complexes with 2-phenylacetylhydroxamic acid (PAHH) [M(O)2(PAH)2] [M = Mo, W] have been accomplished. The dioxomolybdenum(VI) and dioxotungsten(VI) moiety is coordinated by the hydroxamate group (-CONHO(-)) of the 2-phenylacetylhydroxamate (PAH) ligand in a bi-dentate fashion. In both the complexes the PAHH ligand is coordinated through oxygen atoms forming a five membered chelate.

DNA binding and nuclease activity of a one-dimensional heterometallic nitrosyl complex.

The interaction of a structurally characterized Sr-Fe nitrosyl complex with DNA has been studied by UV-vis and fluorescence spectroscopy, viscometric, and gel electrophoresis techniques. From the absorption titration studies the intrinsic binding constant of the complex with DNA was calculated to be 1.6x10(4)M(-1).

Effectiveness and reliability of arsenic field testing kits: are the million dollar screening projects effective or not?

The exposure of millions to arsenic contaminated water from hand tube wells is a major concern in many Asiatic countries. Field kits are currently used to classify tube wells as delivering arsenic below 50 microg/L (the recommended limit in developing countries) as safe, painted green or above 50 microg/L, unsafe and painted red. More than 1.