Skip to Content
  • 2.9
    Impact Factor
  • 6.1
    CiteScore
  • 16 days
    Submission to First Decision
  • 3 days
    Acceptance to Publication

Applied Sciences

Applied Sciences is an international, peer-reviewed, open access journal on all aspects of applied natural sciences published semimonthly online by MDPI. The International Society for Plasma Medicine (ISPM) and the Polish Society of Applied Electromagnetics (PTZE) are affiliated with Applied Sciences and their members receive a discount on the article processing charges.

Get Alerted

Add your email address to receive forthcoming issues of this journal.

All Articles (94,409)

  • Review
  • Open Access

Background/Objectives: Associations between seat–occupant interface pressure metrics and subjective comfort or discomfort remain unclear. This review synthesized these associations. Methods: Four databases were searched from inception to July 2026. Unipolar comfort, unipolar discomfort, and bipolar outcomes were treated separately. Pressure metrics were classified as load magnitude, contact geometry, or pressure distribution characteristics. Correlations were pooled using Fisher’s z transformation and random-effects models. Results: Seventeen studies were included, and eleven contributed to quantitative synthesis. In primary comfort analyses, load magnitude was not significantly associated with comfort (3 studies; r = −0.275, 95% CI: −0.695 to 0.285; p = 0.336; I2 = 81.620%), whereas contact geometry showed a positive association (3 studies; r = 0.241, 95% CI: 0.040 to 0.424; p = 0.020; I2 = 0%). Expanded analyses of the three metric categories were nonsignificant. Load magnitude showed a positive but imprecise association with unipolar discomfort (4 studies; r = 0.440, 95% CI: −0.118 to 0.787). Conclusions: Associations varied across metrics and measurement regions. The contact-geometry finding was based on three studies and was sensitive to study composition. Interface pressure should supplement subjective assessment; evidence does not support causal inference, metric hierarchies, or universal thresholds.

Appl. Sci.

6 November 2026

PRISMA 2020 Flow Diagram of the Literature Search and Study Selection Stages.
  • Article
  • Open Access

We propose and numerically investigate a four-dimensional (4-D) multiplexed polarization division multiplexing twin single-sideband (PDM-Twin-SSB) PAM-4 transmission scheme enabled by a Stokes vector Kramers–Kronig (SV-KK) receiver, targeting high-capacity short-reach optical interconnects with low-cost implementation. At the transmitter, the PDM-Twin-SSB signal, composed of four independent optical SSB sub-channels, is efficiently generated using two low-cost dual-drive Mach–Zehnder modulators (DDMZMs) driven by a single laser, eliminating the need for multiple laser sources and complex optical filtering. At the receiver, a Stokes vector receiver (SVR) is employed to simultaneously detect the left and right sidebands from both polarizations. Polarization de-rotation, which is essential for recovering the multiplexed signals, is performed directly in the Stokes space. Furthermore, Kramers–Kronig (KK) processing is applied after polarization alignment to reconstruct the complex optical field and mitigate the signal-to-signal beating interference (SSBI) inherent in square-law direct detection. We demonstrate that the 448 Gb/s PDM-Twin-SSB PAM-4 signal can be successfully transmitted over 80 km standard single-mode fiber (SSMF) with a pre-FEC bit-error-rate (BER) below the 7% hard-decision forward error correction (HD-FEC) threshold of 3.8 × 10−3, achieving an OSNR requirement of 41 dB. The system performance is systematically evaluated through optimization of the carrier-to-signal power ratio (CSPR) and the guard band between the optical carrier and the sidebands. The results confirm that the proposed DDMZM-based PDM-Twin-SSB architecture, combined with the SV-KK receiver, provides a practical and cost-effective polarization-demultiplexing solution for single-wavelength high-speed optical interconnects, enabling robust transmission performance without requiring a local oscillator or active polarization control.

Appl. Sci.

6 November 2026

(a) Polarization-multiplexed intensity modulation. (b) Modified SVR with two PDs and two BPDs.
  • Article
  • Open Access

Under non-uniform temperature conditions, the reflected spectrum of a fiber Bragg grating (FBG) can broaden and distort, making a single Bragg wavelength insufficient to describe the axial temperature distribution. This study investigates a one-dimensional convolutional neural network (1D-CNN) for reconstructing non-uniform temperature profiles from the full reflected spectra of a single uniform FBG. A numerical dataset of 2000 paired spectra and temperature profiles was generated using the transfer matrix method (TMM), which relates forward- and backward-propagating optical field amplitudes across grating segments. Four representative profiles—linear, exponential, hyperbolic, and Gaussian—were considered to represent typical temperature distributions associated with heat conduction and localized heating. The CNN was trained to map the 1001-point normalized reflectivity spectrum to a 200-point axial temperature profile. Across five independent training runs, the CNN achieved a mean absolute percentage error (MAPE) of 11.02 ± 0.60%, a root mean square error (RMSE) of 3.06 ± 0.38 K, and a coefficient of determination (R2) of 0.971 ± 0.005 on the independent test set. Partial least squares (PLS) regression yielded a higher RMSE of 4.08 K. TMM-based iterative optimization reproduced the target profile with errors close to numerical precision but required 28.50 s per spectrum, compared with 6.85 ms for the CNN. Under simulated Gaussian intensity noise, the RMSE of a fixed CNN increased to 4.89 K at 30 dB and 10.73 K at 20 dB, whereas wavelength jitter with a standard deviation of 5 pm yielded an RMSE of 2.76 K. These results suggest that the proposed CNN can reduce online reconstruction time for the investigated temperature profiles, although experimental validation remains necessary.

Appl. Sci.

6 November 2026

FBG sensing principle: (a) Basic structure and reflection mechanism, (b) Bragg wavelength shift under uniform temperature, and (c) spectral distortion under non-uniform temperature.
  • Article
  • Open Access

Reinforced galvanic isolation and solid-state overcurrent protection (eFuse) are critical safety barriers in automotive high-voltage (HV) power electronics, yet they are rarely evaluated together. This paper reports destructive robustness tests of both barriers on hardware of the same automotive HV subsystem, at up to 850 VDC, as a complement to IEC 60747-17 certification. For the isolation barrier, 39 samples from two 5 kVrms-rated digital-isolator families (reinforced and basic insulation) were stressed with continuous DC/AC voltage. Except for two samples tested without energy limitation, which failed catastrophically, all samples passed a 1.5 kV/60 s HIPOT test and read above the 500 MΩ range of the multimeter, even when visibly punctured. For the overcurrent barrier, five eFuse power stages were tested in an 850 VDC capacitor-fed short circuit and at 10–360 VDC with a 120 A current limit. All five failed open; in the 850 VDC test the current was interrupted within 0.5 ms (limit 1.2 s), and no thermal event occurred outside the enclosure within the 12 s observation window. The results are exploratory, given the small samples, and support several recommendations for HV safety-validation testing. After every eFuse fault, the HV–LV isolation of the subsystem remained intact.

Appl. Sci.

6 November 2026

The block diagram of the HV–LV reinforced isolation breakdown test setup.

Featured Articles of Last Quarter

Geographical and geological setting of the study area: (A) Regional location of the Iberian Peninsula in southwestern Europe. (B) Main geological and physiographic units and major Cenozoic sedimentary basins of the Iberian Peninsula. The Spain–Portugal international boundary is also shown. Coordinates are referenced to WGS 84.
Overview of System Architecture.

Highly Accessed Articles

News & Conferences

Latest Issues

Open for Submission

Journal Sections

XFacebookLinkedIn
Appl. Sci. - ISSN 2076-3417