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Hair analysis has been used in the past as a method to explore environmental exposure to chemicals, toxins or drug ingestion, with wide applications in forensic science, environmental studies, anthropology and medicine. Although not a conventional sample type, hair offers significant advantages over traditional biospecimens, such as blood or urine. These include its stability, non-invasive nature
Introduction: This study focused on characterizing the phase transition behavior in water of thermoresponsive cationic diblock copolymers comprised of a cationic and a non-ionic block. Background: Thermoresponsive polymers, especially block copolymers, have long been of interest to researchers within the field of drug delivery systems. However, more research into their phase transition behavior i
Purpose: The sugar industry is always pressured to be suitable and enhance its operational effectiveness. Digital Twin (DT) has the potential to transform this industry. However, the lack of industry-specific Key Performance Indicator (KPI) frameworks makes it challenging to implement them. This study provides a hierarchical KPI model for DT adoption in the sugar sector, interconnecting the United
PurposeIn the age of digital businesses, the rise of innovative digital transformation has made supply chain transparency (SCT) an essential research topic. While digital technologies provide possibilities for enhancing transparency in supply chains, there is limited research on how digital businesses overcome different SCT issues or provide real-time visibility and traceability. This study aims t
Connections between proof complexity and circuit complexity have become major tools for obtaining lower bounds in both areas. These connections – which take the form of interpolation theorems and query-to-communication lifting theorems – translate efficient proofs into small circuits, and vice versa, allowing tools from one area to be applied to the other. Recently, the theory of TFNP has emerged
In recent years, Collaborative Robots (Cobots) have gained traction. It is categorized as a special type of robot that is capable of working safely alongside humans. Cobots are used in a variety of industrial applications, including assembling, manufacturing, quality inspection, and packaging products. Cobots use smart technologies to work alongside humans, making work easier and more efficient. T
This paper presents NMCu-CNN, a near-memory computing (NMC) co-processor for the hardware acceleration of convolutional neural networks (CNNs) on a low-power, flexible MCU platform. The scalable architecture and the selected platform enable adaptability to the rapidly evolving Edge AIoT landscape, where energy and performance requirements are constrained. Application-tailored NMC units, equipped w
Habitat area, forest characteristics, management practices and protected areas have the potential to profoundly impact biodiversity. This is particularly true for specialist species linked to structural complexity and old forest, like the lesser spotted woodpecker (Dryobates minor). This study examines how habitat quality and quantity influence the occurrence of this Near-Threatened species across
Compact automated warehouse solutions are a challenge for conventional fire protection systems, such as sprinklers. As an option to sprinkler systems some warehouses employ an Oxygen Reduction System (ORS). When designing an ORS, the most important parameter is the limiting oxygen concentration (LOC). The level of protection attained is directly proportional to the oxygen level applied, which is a
In liquid-liquid chromatography (LLC), components of a mixture are separated due to their different distribution between the phases of a biphasic liquid system composed of two or more solvents. In this work, for the first time, we combine a chromatography model with a liquid-liquid equilibria thermodynamic model to simulate the propagation of the solute and the solvents along the LLC column. The m
Objectives: Our aim was to compare direct costs for single pill combinations (SPCs) and free-drug combinations for hypertension treatment. Methods: We focused on Australia as a case study and reviewed total costs, and for the patient and government. We reviewed the Australian “Pharmaceutical Benefits Scheme item drug map” considering different thresholds for the government safety net. Total costs
Over the past decade, numerous assays for forensic age estimation based on the analysis of DNA methylation markers have been developed, demonstrating significant potential for use in criminal investigations. Despite these advancements, only few comprehensive evaluation studies were published. In this study, we present findings of an extensive inter-laboratory evaluation of the VISAGE Enhanced Tool
The modern use of neoadjuvant and conversion systemic therapy in patients with colorectal cancer liver metastasis (CRLM) has improved resection rates and changed the borders between “resectable” and “unresectable” disease. Also, the use of preoperative systemic therapy has resulted in an increased frequency of disappearing liver metastasis (DLM). The optimal management of DLM is still controversia
The Industrial Symbiosis Readiness Level Matrix (ISRLM) tool presented in this paper, was developed to address the challenges inherent in implementing and managing Industrial Symbiosis (IS) networks. IS networks are complex systems involving diverse actors with varying levels of preparedness, perspectives, and priorities, which can result in miscommunication, inefficiencies, and slow implementatio
The random k-SAT model is one of the most important and well-studied distributions over k-SAT instances. It is closely connected to statistical physics and is a benchmark for satisfiability algorithms. We show that when k=Θ(log n) , any Cutting Planes refutation for random k-SAT requires exponential length in the regime where the number of clauses guarantees that the formula is unsatisfiable with
With the growing need to process large volumes of data, edge computing near data collection sources has become increasingly important. However, the resource constraints of edge devices require more efficient data processing techniques. Near-memory computing (NMC) presents an efficient solution, especially for data-intensive applications, by enabling processing that is both energy-efficient and har
