Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of Clostridial Toxin Gene Expression: A Pasteurian Tradition

The alarming symptoms attributed to several potent clostridial toxins enabled the early identification of the causative agent of tetanus, botulism, and gas gangrene diseases, which belongs to the most famous species of pathogenic clostridia. Although Clostridioides difficile was identified early in the 20th century as producing important toxins, it was identified only 40 years later as the causative agent of important nosocomial diseases upon the advent of antibiotic therapies in hospital settings. Today, C. difficile is a leading public health issue, as it is the major cause of antibiotic-associated diarrhea in adults. In particular, severe symptoms within the spectrum of C. difficile infections are directly related to the levels of toxins produced in the host. This highlights the importance of understanding the regulation of toxin synthesis in the pathogenicity process of C. difficile, whose regulatory factors in response to the gut environment were first identified at the Institut Pasteur. Subsequently, the work of other groups in the field contributed to further deciphering the complex mechanisms controlling toxin production triggered by the intestinal dysbiosis states during infection. This review summarizes the Pasteurian contribution to clostridial toxin regulation studies.
Model-Free Distributed Consensus Control Based on Actor–Critic Framework for Discrete-Time Nonlinear Multiagent Systems

Conventionally, as the system’s dynamics is known, the optimal consensus control problem relies on solving the coupled Hamilton–Jacobi–Bellman (HJB) equations. In this paper, with the unknown system dynamics being considered, a local <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-function-based adaptive dynamic programming method is put forward to deal with the optimal consensus control problem for unknown discrete-time nonlinear multiagent systems by approximating the solutions of the coupled HJB equations. First, a local <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-function is defined, which considers the local consensus error and the actions of the agent and its neighbors. Using the <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-function, it is convenient to get the derivatives with regard to the weights of the consensus control policies, even without the model of system dynamics. Then, with the defined local <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-function, a distributed policy iteration technique is developed, which is theoretically proved to be convergent to the solutions of the coupled HJB equations. An actor–critic neural network framework for implementing the developed model-free optimal consensus control method is constructed to approximate the local <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-functions and the control policies. Finally, the feasibility and effectiveness of the developed method are verified by a series of simulations.
The Intersection of ChatGPT, Clinical Medicine, and Medical Education

As we progress deeper into the digital age, the robust development and application of advanced artificial intelligence (AI) technology, specifically generative language models like ChatGPT (OpenAI), have potential implications in all sectors including medicine. This viewpoint article aims to present the authors’ perspective on the integration of AI models such as ChatGPT in clinical medicine and medical education. The unprecedented capacity of ChatGPT to generate human-like responses, refined through Reinforcement Learning with Human Feedback, could significantly reshape the pedagogical methodologies within medical education. Through a comprehensive review and the authors’ personal experiences, this viewpoint article elucidates the pros, cons, and ethical considerations of using ChatGPT within clinical medicine and notably, its implications for medical education. This exploration is crucial in a transformative era where AI could potentially augment human capability in the process of knowledge creation and dissemination, potentially revolutionizing medical education and clinical practice. The importance of maintaining academic integrity and professional standards is highlighted. The relevance of establishing clear guidelines for the responsible and ethical use of AI technologies in clinical medicine and medical education is also emphasized.
Expression of Vascular Endothelial Growth Factor-A (VEGF-A) in Adenocarcinoma and Squamous Cell Cervical Cancer and Its Impact on Disease Progression: Single Institution Experience

Background and Objectives: The aim of this retrospective study was to determine the difference in VEGF-A expression in adenocarcinoma and squamous cell cervical cancer and to show the influence of VEGF-A expression on clinical, pathological, and therapeutic prognostic factors on the outcome of treatment and the survival of patients. Materials and Methods: The study included patients with cervical cancer who were treated in the period from 1 January 2010 to 31 December 2021 at the Clinic for Gynecology and Obstetrics, University Hospital Centre, Osijek. The researchers conducted a retrospective analysis of data from patients’ medical history, along with the pathohistological findings and oncologist findings. The study included 66 patients with cervical cancer (divided into two subgroups of 33 with adenocarcinoma or squamous cell cervical cancer). Diagnosis was based on the pathohistological status and FIGO staging. VEGF-A expression was significantly higher in adenocarcinoma. Subjects with a higher expression of VEGF-A had a significantly higher rate of disease progression and a higher possibility for lethal outcome. Results: Statistically significant prognostic factors in bivariate analysis in predicting a negative treatment outcome were: older age, greater depth of stromal invasion, FIGO IIB stage, chemotherapy, and positive lymph nodes. In the multivariate analysis, age and positive lymph nodes were shown to be significant predictors for a negative treatment outcome. Conclusions: VEGF-A has shown to be statistically more expressed in adenocarcinoma, which correlates with disease progression, but not statistically significant in multivariate regression analysis as an independent prognostic factor for poor survival of the subjects.
The Langmuir Probe onboard CSES: data inversion analysis method and first results

The Langmuir Probe (LAP), onboard the China Seismo‐Electromagnetic Satellite (CSES), has been designed for in situ measurements of bulk parameters of the ionosphere plasma, the first Chinese application of in‐situ measurement technology in the field of space exploration. The two main parameters measured by LAP are electron density and temperature. In this paper, a brief description of the LAP and its work mode are provided. Based on characteristics of the LAP, and assuming an ideal plasma environment, we introduce in detail a method used to invert the I‐V curve; the data products that can be accessed by users are shown. Based on the LAP data available, this paper reports that events such as earthquakes and magnetic storms are preceded and followed by obvious abnormal changes. We suggest that LAP could provide a valuable data set for studies of space weather, seismic events, and the ionospheric environment.
Business Model Canvas Training for High School Students in Malang Raya

Indonesia's current entrepreneurship ratio is relatively low compared to other countries, indicating the need for initiatives to encourage entrepreneurial skills among the youth. This research aims to address the need for increased entrepreneurship in Indonesia, particularly among high school students in the Malang Raya region. The implementation of the community service project has successfully provided valuable entrepreneurship training to high school and vocational students, equipping them with essential knowledge and practical applications of entrepreneurship. The comprehensive training material has ignited enthusiasm and cultivated a strong interest among the participants to engage in entrepreneurial activities. By promoting an entrepreneurial mindset and imparting business strategies, including the Business Model Canvas, the training has accelerated students' understanding and education. Future research should explore different pedagogical approaches in entrepreneurship training, conduct longitudinal studies to track students' progress, and address specific challenges faced by high school and vocational students in starting and running their own businesses. By considering these research directions, entrepreneurship education can be further enhanced, leading to more effective training programs and support for young aspiring entrepreneurs in Malang Raya.
Evaluating the bank profitability in euroized economies

Financial euroization is a significant phenomenon in developing countries. The key financial institutions for macroeconomic stability in these countries are the banks. Conversion of most of the financial assets and liabilities into foreign currency creates a currency mismatch between the assets and liabilities in domestic and foreign currency. Banks in the role of intermediaries between depositors and borrowers face the risks of accepting foreign currency deposits and placing foreign currency loans. With this, financial euroization can impact the performance of banks. The paper's main objective is to analyze the impacts of euroization on the performance of banks in North Macedonia, Serbia, and Bosnia and Herzegovina for the period from 2010 to 2020. For performance measure, we use bank profitability. The paper uses a pre-set empirical model, in which the dependent variable is ROA (annual data for the return on assets - as a variable for measuring the profitability of banks) and a set of independent variables, including the degree of euroization. The results suggest that the model is robust, and the variables are statistically significant. In conclusion, this outcome can be ascribed to the segmentation of the bank credit portfolio in credit denominated in domestic versus foreign currency credit denomination. Moreover, the degree of euroization proved to be statistically significant for predicting the performance of banks, hence is high bank management decision-making information.
Notes on implementing generalized measurements with superconducting qubits

We describe a method to perform any generalized purity-preserving measurement of a qubit with techniques tailored to superconducting systems. We start with considering two methods for realizing a two-outcome partial projection: using a thresholded continuous measurement in the circuit QED setup and using an indirect ancilla qubit measurement. Then we decompose an arbitrary puritypreserving two-outcome measurement into single qubit unitary rotations and a partial projection. Finally, we systematically reduce any multiple-outcome measurement to a sequence of two-outcome measurements and unitary operations.
Influence of traverse and waveone gold glider glide path files on the amount of
 apically extruded debris

Objective: The aim of this study was to evaluate the effect of different glide path files on the amount of apically extruded debris. Material and Methods: Sixty single-canaled mandibular premolars were accessed and randomly divided into three groups (n= 20) according to the file used for glid path creation; group A using Traverse file, group B using WaveOne Gold Glider, group C using stainless steel K file. All teeth were then instrumented using the Reciproc system. The debris extruded apically during instrumentation were collected into pre-weighed Eppendorf tubes which were then stored in an incubator at 70 °C for 5 days. The weight of the dry extruded debris was established by subtracting the pre-instrumentation and post-instrumentation weights of the Eppendorf tubes. The data were analyzed using one-way ANOVA test, and post hoc analysis. Results: WaveOne Gold Glider produced the least amount of apical extruded debris (0.41±0.25) followed by the Traverse group (0.59±0.20) then the K-file group (0.64±0.16) with a statistically significant difference (p=0.003). Conclusion: Apical extrusion of debris is inevitable during root canal cleaning and shaping. Creation of glide path using engine-driven files produces less amount of apically extruded debris compared to hand-driven K-files.
IDIT-SDN: Intrusion Detection Framework for Software-defined Wireless Sensor Networks

Software-Defined Networking has been used to leverage security solutions for wireless sensor networks. However, this paradigm turns networks vulnerable to distributed denial of service attacks. IDIT-SDN is a tool for Software-defined Wireless Sensor Networks devised for DoS and DDoS attacks simulation and detection. This tool provides a framework for anomaly detection and a communication protocol to share security wise information from the sensor network to the controller. We demonstrate its use by showing a cooperative DDoS attack detection and attacker identification application based on distributed (every node) and centralized (controller) anomaly detection.
A Study on Prospective Green Chemistry Alternatives for Organic Synthesis in Order to Promote Sustainable Development

This paper outlines the green initiatives aimed at promoting awareness of green chemistry as a viable substitute for conventional methods of organic synthesis. It offers novel insights, tools, and concepts for designing organic synthesis processes that are conducive to preserving environmental and public health, while promoting economic growth. Green chemistry alternatives are vital components in forestalling the risks posed by the hazardous environmental outcomes resulting from traditional synthesis that employ varying chemicals and solvents. This approach is pivotal in our mission to safeguard the planet from the adverse ecological effects of chemical-based processes
Magnetic Properties of CuCr1−xLaxS2 Thermoelectric Materials

The magnetic properties (magnetic susceptibility, magnetic moment) and Weiss constant for lanthanum-doped CuCr1−xLaxS2 (x = 0; 0.005; 0.01; 0.015; 0.03) solid solutions were studied using static magnetochemistry at 80–750 K. The samples were characterized by both powder X-ray diffraction and energy-dispersive X-ray spectroscopy. It was shown that synthesized samples are single-phased up to x ≤ 0.01. The presence of the additional phase in the solid solutions with x > 0.015 caused deviation from the simple isovalent Cr3+→Ln3+ cationic substitution principle. It was found that magnetic susceptibility and the Weiss constant are significantly affected by both magnetic properties and lanthanum concentration for the solid solutions doped up to x = 0.01. The largest magnetic moment value of 3.88 µB was measured for the initial CuCrS2-matrix. The lowest value of 3.77 µB was measured for the CuCr0.99La0.01S2 solid solution. The lowest Weiss constant value of −147 K was observed for the initial matrix; the highest one was observed for CuCr0.99La0.01S2 (−139 K). The largest Seebeck coefficient value of 373 µV/K was measured for CuCr0.985La0.015S2 at 500 K; the obtained value was 3.3 times greater compared to the initial CuCrS2-matrix. The field dependence of the magnetic susceptibility allowed one to conclude the absence of ferromagnetic contributions in the total magnetic susceptibility of CuCr1−xLaxS2. The data on magnetic properties can be successfully utilized to investigate the limits of doping atom suitability and order–disorder phase transition temperature in CuCrS2-based solid solutions.
Compositional Changes in Hydroponically Cultivated Salicornia europaea at Different Growth Stages

Abiotic stress conditions, such as salinity, affect plant development and productivity and threaten the sustainability of agricultural production. Salt has been proven to accumulate in soil and water over time as a result of various anthropogenic activities and climatic changes. Species of the genus Salicornia thrive in the most saline environments and have a wide climatic tolerance. They can be found in a variety of subtropical, oceanic, and continental environments. This study aims to establish Salicornia europaea as a novel source of plant-based compounds that can grow in areas unsuitable for other crops. The morphological and compositional changes in the tissues of S. europaea in different consecutive developmental stages have not been investigated so far. Therefore, a comprehensive study of changes during the lifecycle of S. europaea was carried out, following changes in the plant’s composition, including biomass yield, and soluble and insoluble compounds. For this, plants were cultivated in hydroponics for 15 weeks and harvested weekly to analyze biomass production, to determine soluble and insoluble compounds, protein content, and polyphenols. According to the results, glucan, xylan, and lignin increase with plant age, while water extractives decrease. Protein content is higher in young plants, while flavonoid content depends on the phenological stage, decreasing in the early flowering stage and then increasing as plants enter early senescence. Our results can aid in finding the optimal harvesting stage of S. europaea, depending on the component of interest.
Formulation and Evaluation of PLGA Nanoparticulate-Based Microneedle System for Potential Treatment of Neurological Diseases

Introduction The tight structure of the blood–brain barrier severely limits the level of drug therapy for central nervous system disorders. In this study, a novel composite delivery system combining nanocarrier and microneedle technology was prepared to explore the possibility of transdermal delivery of drugs to work in the brain. Methods Nanoparticle solutions containing paroxetine and rhodamine-B were prepared using PLGA as a carrier by the emulsification-solvent volatilization method. Then, they were mixed with hyaluronic acid and the PLGA nanoparticulate-based microneedle system (Rh-NPs-DMNs) was prepared by a multi-step decompression-free diffusion method. The particle size, zeta potential, and micromorphology of the nano solution were measured; the appearance, mechanical strength, dissolution properties, and puncture effect of the Rh-NPs-DMNs were evaluated; also, it was evaluated for in vivo live imaging properties and in vitro skin layer transport and distribution properties. Results The mean particle size of Rh-NPs was 96.25 ± 2.26 nm; zeta potential of 15.89 ± 1.97 mV; PDI of 0.120 ± 0.079. Rh-NPs-DMNs had a high needle content of 96.11 ± 1.27% and a tip height of 651.23 ± 1.28 μm, with excellent mechanical properties (fracture force of 299.78 ± 1.74 N). H&E skin tissue staining showed that Rh-NPs-DMNs produced micron-sized mechanical pores approximately 550 μm deep immediately after drug administration, allowing for efficient circulation of the drug; and the results of in vivo imaging showed that Rh-B NPs DMNs had a faster transport rate than Rh-B DMNs, with strong fluorescent signals in both brain (P<0.01) and hippocampus (P<0.05) 48 h after drug administration. Conclusion Nanoparticles can prolong blood circulation time and intracerebral retention time and have certain brain-targeting properties due to their excellent physical properties. The use of microneedle technology combined with nanocarriers provides new ideas for delivery systems for the treatment of central neurological diseases.
An Investigation On The Electrochemical Behavior Of Steel In The Presence Of An Eco-inhibitor

A more sustainable and environmentally friendly alternative to conventional inhibitors of corrosion is the use of plant extract. In recent years, as people have become more concerned about the negative effects that corrosion inhibitors have on the environment, there has been an increase in the usage of corrosion inhibitors that are made from natural chemicals. The type of plant extract as well as the metal being protected both play a role in determining how successful the plant extract is as a corrosion inhibitor. Because of their unique chemical make-ups, the inhibitory effects of various plant extracts are quite distinct from one another. The concentration of the active components is critical to the extract's inhibitor efficiency. In this study, potentiostatic polarization and gravimetric measurements are utilized to assess the electrochemical behavior of steel in the presence of an inhibitor based on a plant extract.
Prevalence of Depression Among Jordanian University Students During COVID-19 Pandemic

Objective: The global COVID-19 pandemic has a significant impact on individuals, physical and mental health. This study aims to investigate the relationship between the COVID-19 pandemic and depression as a mental health problem among students of Jadara University. Methods: a cross-sectional study among Jadara University students by survey forms was conducted between 6 -12 of May 2020. The CES-D scale was used to assess depression. Result: Out of 200 participants, 45% were classified as high risk for depression and 55% as low risk for depression. Our resulting study revealed that the academic year and the professional status of the student had a significant relationship with depression. Conclusion: COVID-19 pandemic gives insight into the importance of universities and states natural resources to respond to mental health problems among the most vulnerable.
A systematic literature review on corporate social responsibility (CSR) and hotels: past achievements and future promises in the hospitality sector

ABSTRACT The study offers a comprehensive and critical systematic literature review (SLR) alongside an analysis of recent literature regarding the significance of corporate social responsibility (CSR) within the hotel industry.The study utilizes the SLR method to consolidate the relevant literature on CSR initiatives in the hotel industry context. Content analysis led to the identification of 100 pertinent studies, which contributed to the formation of diverse research themes, identification of research gaps, exploration of potential future research paths, and the creation of a research framework. The five thematic areas of research are the role of (1) employees in CSR initiatives, (2) customers in CSR initiatives, (3) CSR and business performance, (4) CSR and reporting, and (5) CSR and sustainability. The findings are synthesized into a hotel-based CSR research framework. By providing valuable insights on strengthening CSR in the hotel industry, this study is one of the first SLR study that focuses explicitly on CSR in hotels and will be valuable for both practitioners and researchers.