Simultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four Z+jets Kinematic Observables with the ATLAS Detector.

Z boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of Z boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins.

Comparative analysis of the risk of postpartum depression in Poland and Zimbabwe and identification of risk factors.

Objectives: Postpartum depression is a common and serious mental health problem which is associated with maternal distress and negative consequences for the offspring. Research confirms the presence of differences in the prevalence of postpartum depression in different social groups. The aim of this study was to compare the severity of maternal symptoms in Poland and Zimbabwe and to identify risk factors occurring in both groups.

The Picture of Health: Seeing the Health of the Chronically Challenged Through Van Gogh's Sunflowers as a Needed Revision of the Clinical Perspective.

This article identifies and offers a response to several problems that affect the quality of both clinical education and health care services. These matters are: that in clinical training and practice, health, as lived by patients (persons), is not properly considered, and is equated reductively with treating diseases/disorders; that health is seen through disease, and as restricted to a single model defined by an organism's meeting (or being returned to) biochemical or functional standards; that intellectual assumptions instilled in schools of Medicine and Psychology about realities pertaining to healthcare determine an understanding of chronic illness or life with chronic challenges focused on impairment and suffering, and not on the fuller experience of living with illness, disability or neuropsychological challenges that patients have as persons; that arts-based education reflects the same focus in understanding 'illness', and thus neglects giving attention to the creation of personal health states of those living with challenging or debilitating long-term conditions; that, consequently, the arts are instrumentalized to serve these predefined educational purposes, rather than allowed to inform clinical training through that which is intrinsic or more specific to them. As a way out of these limitations and as an illustration of how things could be done differently, Vincent Van Gogh's paintings of the Sunflowers are used as visual inspiration for how we could change the way we see, and construct new mental representations of 'health', 'chronic illness' or 'chronic challenges', 'patient as person' or even 'person as non-patient', 'the clinician's role' and 'the identity of clinical practice'.

The role of lipids and lipids lowering drugs in human papillomavirus (HPV) and HPV-associated cancers.

Both women and men are now confronted with the grave threat of cancers caused by the human papillomavirus (HPV). It is estimated that 80% of women may encounter HPV over their lives. In the preponderance of cases involving anal, head and neck, oral, oropharyngeal, penile, vaginal, vulvar, and cervical malignancies, high-risk HPV (HR-HPV) is the causative agent.

Prediction of the transient coolant jet released from the nose cone at supersonic flow via machine learning.

In this paper, the usage of a predictive surrogate model for the estimate of flow variables in the transient phase of coolant injection from the nose cone by combining the Long Short-Term Memory (LSTM) and Proper Orthogonal Decomposition (POD) technique. The velocity, pressure, and mass fraction of the counterflow jet is evaluated via this hybrid technique and the source of discrepancy of a predictive surrogate model with Full order model is explained in this study. The POD modes for the efficient prediction of the different flow variables are defined.

Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting.

Electric load forecasting is crucial in the planning and operating electric power companies. It has evolved from statistical methods to artificial intelligence-based techniques that use machine learning models. In this study, we investigate short-term load forecasting (STLF) for large-scale electricity usage datasets.

A state-of-the-art review of the recent advances of theranostic liposome hybrid nanoparticles in cancer treatment and diagnosis.

Theranostics is a way of treating illness that blends medicine with testing. Specific characteristics should be present in the best theranostic agents for cancer: (1) the drugs should be safe and non-toxic; (2) they should be able to treat cancer selectively; and (3) they should be able to build up only in the cancerous tissue. Liposomes (LPs) are one of the most efficient drug delivery methods based on nanotechnology.

Laser-based 3D printing and optical characterization of optical micro-nanostructures inspired by nocturnal insects compound eyes.

Nature offers unique examples that help humans produce artificial systems which mimic specific functions of living organisms and provide solutions to complex technical problems of the modern world. For example, the development of 3D micro-nanostructures that mimic nocturnal insect eyes (optimized for night vision), emerges as promising technology for detection in IR spectral region. Here, we report a proof of principle concerning the design and laser 3D printing of all ultrastructural details of nocturnal moth Grapholita Funebrana eyes, for potential use as microlens arrays for IR detection systems.

Optimization & enhancement of KGeCl-based perovskite solar cells through charge transport layer engineering.

The growing demand for efficient, stable, and environmentally friendly photovoltaic technologies has motivated the exploration of nontoxic perovskite materials such as KGeCl. However, the performance of KGeCl-based perovskite solar cells (PSCs) depends heavily on the compatibility of charge transport layers (CTLs) and optimization of device parameters. In this study, six PSC configurations were simulated using SCAPS-1D software, incorporating CTLs such as Alq, CSTO, VO, PB, and SbS.

Empowering wastewater treatment with step scheme heterojunction ternary nanocomposites for photocatalytic degradation of nitrophenol.

The ongoing challenge of water pollution necessitates innovative approaches to remove organic contaminants from wastewater. In this work, new two-dimensional S-scheme heterojunction photocatalysts BiO/CdS and MoS/BiO/CdS that are intended for the effective photocatalytic destruction of 4-nitrophenol, a dangerous organic pollutant, are synthesized and characterized. Utilizing a solvothermal method, successfully generated these ternary nanocomposites, which were characterized through various techniques including X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), high resolution transmission electronmicroscopy (HRTEM), Brunauer-Emmett-Telle (BET) and diffuse reflectance spectroscopy (DRS).

Effect of C- and N-Terminal Polyhistidine Tags on Aggregation of Influenza A Virus Nuclear Export Protein.

Nuclear export protein (NEP) of the influenza A virus, being one of the key components of the virus life cycle, is a promising model for studying characteristics of formation of amyloids by viral proteins. Using atomic force microscopy, comparative study of aggregation properties of the recombinant NEP variants, including the protein of natural structure, as well as modified variants with N- and C-terminal affinity His-tags, was carried out. All protein variants under physiological conditions are capable of forming aggregates of various morphologies: micelle-like nanoparticles, flexible protofibrils, rigid amyloid fibrils, etc.

Controlling the energies of the single-rotor large wind turbine system using a new controller.

In wind energy generation systems, ensuring high energy quality is critical but is often compromised due to the limited performance and durability of conventional regulators. To address this, this work presents a novel controller for managing the machine-side inverter of a single-rotor large wind turbine system using an induction machine-type generator. The proposed controller is designed using proportional, integral, and derivative error-based mechanisms, which fundamentally differ from traditional proportional-integral (PI) regulators.

Improved Biomineralization Using Cellulose Acetate/Magnetic Nanoparticles Composite Membranes.

Following implantation, infections, inflammatory reactions, corrosion, mismatches in the elastic modulus, stress shielding and excessive wear are the most frequent reasons for orthopedic implant failure. Natural polymer-based coatings showed especially good results in achieving better cell attachment, growth and tissue-implant integration, and it was found that the inclusions of nanosized fillers in the coating structure improves biomineralization and consequently implant osseointegration, as the nanoparticles represent calcium phosphate nucleation centers and lead to the deposition of highly organized hydroxyapatite crystallites on the implant surface. In this study, magnetic nanoparticles synthesized by the co-precipitation method were used for the preparation of cellulose acetate composite coatings through the phase-inversion method.

Hybrid Carbohydrate-Lipid Nanocarriers: In Vitro Efficacy Gene-Rated by Association of UV-Absorbers and Raspberry Polyphenols Rich-Fraction.

The study aims to investigate an improved version of lipid nanocarriers (NLCs) (formulated with functional coconut butter and marula oil) by designing hyaluronic acid (HA) decorated NLC co-loaded with dual UVA (butyl methoxy dibenzoyl methane, BMDBM), UVB absorbers (ethyl-hexyl-salicylate, EHS) and a Raspberry rich polyphenols fraction (RPRF) for development of more natural NLC-based to-pical formulations. : Quality and quantitative attributes of classic- and HA-NLC have been assigned based on particle size, electrokinetic potential, encapsulation efficiency, spectroscopic characteristics, and high-resolution mass spectrometry. To establish the performance profile of antioxidant activity, release of active substances, sun blocking action, and photostability, in vitro studies were conducted.

A Comparative Finite Element Analysis of Titanium, Autogenous Bone, and Polyetheretherketone (PEEK)-Based Solutions for Mandibular Reconstruction.

Unlabelled: Mandibular reconstruction is essential for restoring both function and aesthetics after segmental resection due to tumoral pathology. This study aimed to conduct a comparative analysis of three reconstruction strategies for defects resulting from segmental mandibular resection, utilizing finite element analysis (FEA).

Methods: A digital model of the mandible was created from CBCT data and optimized for FEA.

Characterization of Phage Endolysin PlyDolk21.

is a significant cause of food poisoning. Broad-spectrum antibiotics, commonly used to control , are becoming less effective due to the rise of antibiotic-resistant strains, necessitating alternative control strategies. A -infecting bacteriophage, Dolk21, and its endolysin, PlyDolk21, were isolated and characterized.

Emerging Resistance and Virulence Patterns in : Insights into Silver Nanoparticles as an Antimicrobial Strategy.

Background/objectives: This study aims to characterize antibiotic resistance (AR) and virulence markers in spp. isolated from Romanian outpatients' stool samples.

Methods: In 2019, community-acquired strains were collected and identified using MALDI-TOF mass spectrometry, antibiotic susceptibility profiles have been determined with the MicroScan system, and soluble virulence factors were evaluated using specific culture media, while biofilm formation was quantified in 96-well plates.

Advanced Amperometric Microsensors for the Electrochemical Quantification of Quercetin in Essential Oil from Regenerative Farming Practices.

In this study, we present a novel approach using amperometric microsensors to detect quercetin in cosmetic formulations and track its metabolic behavior after topical application. This method offers a sensitive, real-time alternative to conventional techniques, enabling the detection of quercetin's bioavailability, its transformation into active metabolites, and its potential therapeutic effects when applied to the skin. Quercetin (Q) is a bioactive flavonoid known for its potent antioxidant properties, naturally present in numerous plants, particularly those with applications in cosmetic formulations.

Anti-Tissue-Transglutaminase IgA Antibodies Presence Determination Using Electrochemical Square Wave Voltammetry and Modified Electrodes Based on Polypyrrole and Quantum Dots.

A novel electrochemical detection method utilizing a cost-effective hybrid-modified electrode has been established. A glassy carbon (GC) modified electrode was tested for its ability to measure electrochemical tTG antibody levels, which are essential for diagnosing and monitoring Celiac disease (CD). Tissue transglutaminase protein biomolecules are immobilized on a quantum dots-polypyrrole nanocomposite in the improved electrode.

Theranostic Contact Lens for Ocular Cystinosis Utilizing Gold Nanoparticles.

Ocular cystinosis is a disease in which accumulated cystine crystals cause damage to the eyes, necessitating timely treatment and ongoing monitoring of cystine levels. The current treatment involves frequent administration of cysteamine eye drops, which suffer from low bioavailability and can lead to drug toxicity, making it essential to prescribe an appropriate dosage based on the patient's condition. Additionally, cystine crystal levels are typically assessed subjectively via slit-lamp examination, requiring frequent clinical visits and causing discomfort for the patient.

Exploring Employee Perspectives on Workplace Technology: Usage, Roles, and Implications for Satisfaction and Performance.

In a dynamic context, where market requirements and needs change often, it is important for companies to adapt to new demands as quickly as possible to continue to be successful. To be able to face numerous challenges, however, organizations need to focus on the needs of their employees, with their satisfaction being an intermediate objective in achieving performance. Since technology is a pillar of each business field, the aim of this study is to explore employees' perspectives on the use of technology at work, analyzing its main roles within the company, the benefits it provides from the employees' viewpoint and its implications for satisfaction and performance.

Mechanisms of change in an online acceptance and commitment therapy intervention for insomnia.

Insomnia, i.e., difficulty falling asleep or staying asleep, is a common condition that is connected to many psychological and physical problems.

A constellation of anatomical variation: middle scalene, wrist extensor, and aortic arch variants share embryological origins in cervical somites.

During dissection of a 70-year-old male donor, several anatomical variations were observed, highlighted by a bilateral variant middle scalene muscle in the superolateral thoracic wall. The variant scalene muscle was traced from the transverse processes of cervical vertebrae to the fourth rib with a pronounced fascial slip. The elongated middle scalene muscle was thick in girth and abnormally wide at its insertion (56.