Hasil untuk "math.DS"

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CrossRef Open Access 2025
Prognostic Value of FasL, BDNF, and IL-1β as Predictors of Therapeutic Response in Schizophrenia

Zofia Szymona-Kuciewicz, Maja Owe-Larsson, Marta Flis et al.

Background/Objectives: Pro-inflammatory, neurotrophic, and proapoptotic factors affect the course of schizophrenia; however, their impact on the clinical response during relapse is not well recognized. A member of TNF family, Fas ligand (FasL), participates in apoptosis, but its connection with treatment-resistant schizophrenia is unknown. Methods: For this preliminary exploratory study, 53 patients with schizophrenia relapse and 45 healthy subjects were enrolled. Pro-inflammatory interleukin IL-1β, brain-derived neurotrophic factor (BDNF), FasL levels, and clinical evaluations (PANSS, SANS, SAPS) were studied at admission, after a 4-week therapy, and at remission. Results: In the clozapine-treated therapy-resistant group, IL-1β correlated negatively with clinical improvement (admission, 4-week treatment). In patients not treated with clozapine, IL-1β correlated negatively with disease duration (admission). A negative correlation occurred between FasL and clinical improvement in general symptoms (admission, 4-week treatment), FasL and leukocyte count (admission), and IL-1β and BDNF levels (4-week treatment). In the clozapine-treated group, the negative correlation between FasL levels and the leukocyte count was absent. Conclusions: The severity of psychopathology in patients with schizophrenia seems to correlate with higher IL-1β and lower BDNF. The novelty of our findings is the observation that higher FasL is negatively associated with the degree of clinical improvement. Thus, a decline of FasL during treatment may be proposed as a predictor of clinical recovery. With caution, we suggest that clozapine use may be linked to a protective effect against FasL signaling and the alleviation of apoptotic processes.

CrossRef 2025
Cybersecurity in the Internet of Things (IoT) - Review

Taban Habibu, Ayo P. Julius

The quick growth of the IoT has brought more ease, greater efficiency, and automation to industries. Still, connected systems in IoT bring up many cybersecurity challenges since IoT settings have many resources and a large variety of devices. This study helps to identify the key security problems, possible weaknesses, and dangers of IoT systems. It reviews IoT infrastructure security approaches, like encryption, authentication, intrusion detection, and blockchain, and studies their pluses and minuses. Important topics discussed in the paper are the scarcity of common security standards and the problem of securing devices and networks that work on the edges (peripheries) of the network. The article puts forward an approach to security that combines several defensive strategies, intelligent detection of threats, and tailored policies for different stakeholders to deal with these issues. It is emphasized that the security of IoT depends on the ability to change and work with different systems. With this assessment, the conversation about IoT cybersecurity is broadened by looking at the present state, noticing new trends, and helping set up future studies.

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