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15 pages, 1920 KB  
Article
Optimized Wire Grid Modeling Method for Complex Metal Mesh Fabrics Using Waveguide-Contact Measurement
by Kitae Park, Sia Lee, In-Sung Park, Chang-Won Seo, Seong-Sik Yoon and Jae-Wook Lee
Sensors 2026, 26(8), 2445; https://doi.org/10.3390/s26082445 - 16 Apr 2026
Viewed by 126
Abstract
Metal mesh reflective surfaces are widely used in deployable antennas mounted on satellites where lightweight and stowability are required; however, quantitative characterization of reflective performance is difficult due to complex woven/knitted structures. This paper presents a modeling method that characterizes the reflection coefficient [...] Read more.
Metal mesh reflective surfaces are widely used in deployable antennas mounted on satellites where lightweight and stowability are required; however, quantitative characterization of reflective performance is difficult due to complex woven/knitted structures. This paper presents a modeling method that characterizes the reflection coefficient of complex mesh fabrics by combining a per-band effective wire radius reff estimation procedure with the Casey surface impedance model. The lattice spacing is fixed from the specimen geometry, the electrical conductivity is set to the material property of gold (σ = 45.2 MS/m), and reff is determined as a single parameter that minimizes the error against the measured reflection coefficient in each frequency band. For validation, waveguide-contact measurements were performed on three Atlas-series mesh specimens fabricated with gold-coated molybdenum wire (diameter: 30 μm), measuring each specimen across all three waveguide standards (WR-340, WR-90, WR-28) with nine repeated trials per configuration, totaling 162 measurement runs. The estimated reff ranged from 10.1 to 44.5 μm depending on band and polarization, with RMSE below 0.021 dB in all native-band fits. Even for the same specimen, directional reff values differed by up to 1.78× due to the anisotropy of the weave structure, confirming that polarization dependence must be considered in mesh reflector antenna design. Full article
(This article belongs to the Section Sensor Materials)
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25 pages, 4466 KB  
Article
Selective Laser Melting of 316L WR-90 Waveguide Horn Antennas: Experimental RF Characterization and Quantitative Performance Analysis
by Nonchanutt Chudpooti, Kitiphon Sukpreecha, Kamol Boonlom and Prayoot Akkaraekthalin
Electronics 2026, 15(8), 1640; https://doi.org/10.3390/electronics15081640 - 14 Apr 2026
Viewed by 268
Abstract
This paper presents the fabrication and experimental characterization of a 316L stainless-steel WR-90 waveguide horn antenna manufactured using selective laser melting (SLM) and operating across the X-band (8.2–12.4 GHz). The antenna is designed based on standard WR-90 waveguide theory and incorporates a coaxial-to-waveguide [...] Read more.
This paper presents the fabrication and experimental characterization of a 316L stainless-steel WR-90 waveguide horn antenna manufactured using selective laser melting (SLM) and operating across the X-band (8.2–12.4 GHz). The antenna is designed based on standard WR-90 waveguide theory and incorporates a coaxial-to-waveguide transition and a flared radiating aperture to achieve stable aperture-based radiation. Full-wave electromagnetic simulations are performed to establish baseline impedance, radiation pattern, and gain performance prior to fabrication. The SLM-fabricated prototype is evaluated through reflection coefficient, radiation pattern, and realized gain measurements conducted in an anechoic chamber. Measured results confirm stable impedance matching across the entire band, with |S11| below −10 dB and a minimum of −22.34 dB near 10.1 GHz. The radiation patterns closely follow simulation predictions, with half-power beamwidth deviations below 4%. The realized gain increases from 11.2 dBi to 15.8 dBi across the band, with simulation–measurement deviation decreasing to within 0.5 dB above 10 GHz. Rather than focusing on antenna design novelty, this work employs a standardized WR-90 horn antenna as a benchmark structure to isolate fabrication-induced effects. A quantitative performance analysis is introduced by converting the gain deviation into an equivalent efficiency reduction, providing a practical framework for evaluating fabrication-induced electromagnetic degradation in SLM-fabricated waveguide components. Full article
(This article belongs to the Section Microwave and Wireless Communications)
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14 pages, 4711 KB  
Proceeding Paper
Electrical Discharge Coating Variables Multi-Criteria Optimisation Utilising TOPSIS Method on the Wear Behaviour of WS2-Cu Coating on AA7075 Alloy
by Natarajan Senthilkumar, Ganapathy Perumal, Kothandapani Shanmuga Elango, Subramanian Thirumalvalavan and Saminathan Selvarasu
Eng. Proc. 2026, 130(1), 5; https://doi.org/10.3390/engproc2026130005 - 8 Apr 2026
Viewed by 273
Abstract
Aluminium alloys are extensively considered in aviation and automobiles owing to their lightweight properties and favourable specific strength-to-weight ratio. Generally, the poor surface properties of these alloys limit their application, particularly in sliding conditions. To enhance the surface qualities, particularly the material’s wear [...] Read more.
Aluminium alloys are extensively considered in aviation and automobiles owing to their lightweight properties and favourable specific strength-to-weight ratio. Generally, the poor surface properties of these alloys limit their application, particularly in sliding conditions. To enhance the surface qualities, particularly the material’s wear resilient features, a unique surface modification process using electro-discharge coating (EDC) has been employed. This work investigates the optimisation of coating variables produced by the EDC technique utilising green compact electrodes composed of 50 wt.% tungsten disulfide (WS2) and 50 wt.% copper (Cu) powder. The substrate material utilised was AA7075 alloy. The Taguchi–TOPSIS approach was employed to determine optimal EDC process variables, with pulse-on time (Ton), current (Ip), and pulse-off time (Toff). Wear rate (WR), surface roughness (SR), and friction coefficient (CoF) were used to assess the coating features. A wear study was performed with a pin-on-disc device with an undeviating sliding speed (0.25 m/s) and a 25 N load. The results revealed that the supreme features derived from the linear plots were Ip (4 A), Ton (80 µs), and Toff (5 µs). The ANOVA found that Ip had the utmost significant impact, accounting for 44.09%; Toff, 28.01%; Ton, 20.33%; and minimum error, 8.58%. A validation trial with perfect parameters returned values of 0.000179 mm3/Nm (WR), 0.204 (CoF), and 2.818 µm (SR). These findings are significantly better than those of the other coatings. The discrepancy among the estimated and experimental relative closeness in optimal settings is 6.34%, demonstrating that the Taguchi–TOPSIS method is more appropriate for multi-criteria optimisation. Full article
(This article belongs to the Proceedings of The 19th Global Congress on Manufacturing and Management (GCMM 2025))
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17 pages, 3102 KB  
Article
Anesthesia Type and Outcomes After Transfemoral TAVI: A Time-Sensitive Comparative Analysis
by Tuncay Kiris, Fatma Esin, Hakan Bozkurt, Berkay Palac, Bahadır Akar, Aykan Celik, Emre Özdemir, Murat Aksun and Mustafa Karaca
Life 2026, 16(4), 584; https://doi.org/10.3390/life16040584 - 1 Apr 2026
Viewed by 359
Abstract
Background: The optimal anesthesia strategy for transfemoral transcatheter aortic valve implantation (TAVI) remains uncertain. We evaluated the impact of local anesthesia, conscious sedation, and general anesthesia on early and long-term outcomes after TAVI. Methods: This single-center cohort included 401 patients undergoing transfemoral TAVI [...] Read more.
Background: The optimal anesthesia strategy for transfemoral transcatheter aortic valve implantation (TAVI) remains uncertain. We evaluated the impact of local anesthesia, conscious sedation, and general anesthesia on early and long-term outcomes after TAVI. Methods: This single-center cohort included 401 patients undergoing transfemoral TAVI with local anesthesia (LA, n = 77), conscious sedation (CS, n = 147), or general anesthesia (GA, n = 177). Outcomes were assessed using hierarchical win-ratio analysis prioritizing mortality over major adverse cardiovascular and cerebrovascular events (MACCE), supported by Kaplan–Meier and restricted mean survival time analyses. Sensitivity analyses using inverse probability of treatment weighting (IPTW) were performed to account for baseline differences between groups. Results: Baseline comorbidities were broadly comparable, although GA patients had higher-risk anatomical and procedural features. In unadjusted win-ratio analyses, LA showed a significant advantage over GA at 0–6 months (win ratio [WR] 1.79; 95% CI 1.10–2.93; p = 0.020). After multivariable adjustment, LA remained superior to GA at 6–12 and 12–24 months (adjusted WR 1.67 and 1.56, both p < 0.05). One-year mortality differed significantly among groups (p = 0.012). RMST analysis demonstrated a cumulative survival advantage for LA versus GA, reaching 6.6 months at 60 months. MACCE-free survival was largely comparable across strategies. However, in IPTW-weighted analyses, anesthesia type was not independently associated with mortality or MACCE. Conclusions: Minimally invasive anesthesia strategies were associated with more favorable early survival patterns after transfemoral TAVI in primary analyses. However, after adjustment for baseline differences using IPTW, anesthesia type was not independently associated with mortality or MACCE. These findings suggest that apparent outcome differences may partly reflect underlying patient risk profiles rather than a purely causal effect of anesthesia strategy. Full article
(This article belongs to the Section Medical Research)
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15 pages, 2764 KB  
Article
Effects of Different LED Light Qualities and L-Glutamic Acid Application on Growth and Quality of Red Japanese Mustard Spinach (Brassica rapa var. perviridis) Under Plant Factory Conditions
by Yu Jin Kang, Joo Hwan Lee, Yong Beom Kwon, Ah Young Shin, Jeong Eun Sim, In-Lee Choi, Hyuk Sung Yoon, Yongduk Kim, Jidong Kim, Si-Hong Kim, Kiduk Park and Ho-Min Kang
Horticulturae 2026, 12(4), 411; https://doi.org/10.3390/horticulturae12040411 - 26 Mar 2026
Viewed by 357
Abstract
This study investigated the effects of four LED light qualities, red+blue+far-red (WRS-LED), blue+red (BR-LED), blue (B-LED), and red (R-LED), and exogenous L-glutamic acid at 10 ppm on the growth and quality of red mustard spinach (Brassica rapa var. perviridis) cultivated in [...] Read more.
This study investigated the effects of four LED light qualities, red+blue+far-red (WRS-LED), blue+red (BR-LED), blue (B-LED), and red (R-LED), and exogenous L-glutamic acid at 10 ppm on the growth and quality of red mustard spinach (Brassica rapa var. perviridis) cultivated in a plant factory using a recirculating deep-flow hydroponic system. Plants were exposed to four LED light quality treatments at 180 ± 10 μmol·m−2·s−1 PPFD for 28 days after transplanting. L-glutamic acid at 10 ppm was applied once to the recirculating nutrient solution 15 days after transplanting, resulting in 13 days of exposure prior to final harvest on day 28. All growth and quality parameters were measured at the final harvest after 28 days of cultivation. WRS-LED promoted the greatest biomass production. Additionally, vitamin C content, DPPH radical scavenging activity, and total phenolic content were highest under BR-LED and B-LED conditions. Notably, under B-LED, L-glutamic acid treatment increased total phenolic content to approximately twice that of the control. Leaf redness, expressed as Hunter a* values, was observed exclusively under BR-LED. Principal component analysis revealed that LED light quality was the primary determinant of treatment responses, with growth-related traits associated with WRS-LED and R-LED, and quality-related traits with B-LED and BR-LED. Overall, BR-LED combined with L-glutamic acid represents the most suitable treatment for red mustard spinach cultivation in plant factories, achieving a favorable balance between growth and nutritional quality. Full article
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19 pages, 5411 KB  
Article
Assessing the Impact of Water Stress on Neofusicoccum parvum in Table Grapes Using Proximal Sensing Technologies
by Chiara Di Pietro, Simone Mavica, Daniela Vanella, Giuseppe Longo-Minnolo, Simona Consoli and Dalia Aiello
Agronomy 2026, 16(7), 696; https://doi.org/10.3390/agronomy16070696 - 26 Mar 2026
Viewed by 424
Abstract
Water availability represents a major limiting factor for crop production, particularly in Mediterranean agroecosystems. In parallel, water-stressed plants are often more susceptible to diseases, including Grapevine Trunk Diseases (GTDs), such as Botryosphaeria Dieback caused by Botryosphaeriaceae species. In Italy, the increasing prevalence of [...] Read more.
Water availability represents a major limiting factor for crop production, particularly in Mediterranean agroecosystems. In parallel, water-stressed plants are often more susceptible to diseases, including Grapevine Trunk Diseases (GTDs), such as Botryosphaeria Dieback caused by Botryosphaeriaceae species. In Italy, the increasing prevalence of GTDs in young table grape plants and nursery material highlights the need to better understand the interaction between abiotic stress and pathogen dissemination in woody tissues. This study investigated the relationship between different water regimes (WRs) and infections by Neofusicoccum parvum. Grapevine cuttings (Vitis vinifera ‘Italia’ vines grafted onto the rootstock ‘140 Ruggeri’) were subjected to three WRs (20%, 50%, and 100% of crop evapotranspiration, ETc) under controlled environmental conditions and, subsequently, inoculated with mycelial plugs of N. parvum at both the scion and rootstock levels. Plant responses were monitored non-destructively using low-cost proximal sensing tools, including leaf temperature (Tleaf) and the Normalized Difference Vegetation Index (NDVI). Disease development was assessed by measuring internal necrotic lesion extension. Reduced irrigation was associated with increased disease severity, while proximal sensing detected differences in plant physiological responses among water regimes. Overall, the results highlight the interplay between water availability, plant physiological status, and disease severity under controlled conditions. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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18 pages, 3864 KB  
Article
Concept of Planar Waveguide-Based m × n Terahertz Power Combiner
by Rihab Hamad, Israa Mohammad, Thomas Haddad, Sumer Makhlouf, Tim Brüning and Andreas Stöhr
Sensors 2026, 26(6), 1965; https://doi.org/10.3390/s26061965 - 21 Mar 2026
Viewed by 317
Abstract
This paper presents the concept of a 2D m × n waveguide-based power combiner (PC) that is scalable with respect to the operating frequency band and number of input ports. To our knowledge, this work reports the first planar (2D) power combiner, where [...] Read more.
This paper presents the concept of a 2D m × n waveguide-based power combiner (PC) that is scalable with respect to the operating frequency band and number of input ports. To our knowledge, this work reports the first planar (2D) power combiner, where the input waveguide ports are distributed in two spatial dimensions to form an array, rather than arranged along a single linear (1D) axis as in conventional corporate or cascaded waveguide combiners. The novelty of the approach relies on using H-plane rectangular waveguide T-junctions and low-loss polarization twisters in between vertically stacked T-junctions to facilitate scalability. The work is motivated by the aim to coherently combine the output power of multiple modified uni-traveling carrier (MUTC) terahertz (THz) waveguide photodiodes (PDs) in a 2D array configuration. In the manuscript, the design of a 2 × 2 planar waveguide power combiner for the WR3 band (220–320 GHz) is reported, and it is also shown that this block can be further extended to m × n input ports. Full-wave numerical analysis of the proposed 2 × 2 power combiner shows a return loss of 11 dB at the output port and an average transmission coefficient of about −6.5 dB, i.e., an overall power combining efficiency of ~90%. Furthermore, to enable 2D photodiode array integration, the manuscript presents a new slot-bow tie antenna integrated MUTC photodiode for radiating the optically generated THz power from each PD vertically into the rectangular waveguide. The simulation results of reflection loss and insertion loss for the slot bow-tie antenna are shown to be better than 10 dB and 1.4 dB over the full WR3 band, respectively. To prove scalability of the power combiner concept w.r.t. the number of input ports, a 2 × 4 power combiner is also analyzed. Results reveal a return loss better than 10 dB from 225 to 318 GHz and a transmission coefficient of approximately −9.7 dB at 300 GHz, i.e., a power combining efficiency of ~85%. Full article
(This article belongs to the Section Physical Sensors)
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23 pages, 3347 KB  
Article
Nutrient Profiling and Water Repellency of Cover Crop Residues in Southern United States Agroecosystems
by Payton B. Davis, Dara M. Park, Brook T. Russell and Debabrata Sahoo
Soil Syst. 2026, 10(3), 40; https://doi.org/10.3390/soilsystems10030040 - 12 Mar 2026
Viewed by 545
Abstract
Integrating cover crops (CCs) into crop rotations has gained interest in the Southeastern United States due to the benefits that CCs offer, which improve soil health for agricultural production. However, more information is needed on how CCs may affect the development of soil [...] Read more.
Integrating cover crops (CCs) into crop rotations has gained interest in the Southeastern United States due to the benefits that CCs offer, which improve soil health for agricultural production. However, more information is needed on how CCs may affect the development of soil water repellency (SWR), which can negatively impact soil hydrology. The development of SWR threatens crop yields, food security, and farmer livelihoods. To address this knowledge gap, a field experiment measured the water repellency (WR) of four common CC species and a fallow treatment. CC samples were oven-dried, ground, and analyzed for WR using the water drop penetration time (WDPT) test. The mean WDPTs of the CC residues collected at termination and four weeks post-termination ranged from 49 to 4174 and 8 to 2627 s, respectively. Large WDPTs (>5 s) indicate that CC residues can potentially influence the development of SWR. All CC residues exhibited WR. The results suggest that farmers may need to consider alternative CC species depending on when they plant their cash crops in relation to CC termination. Considering the effects of CCs on SWR will enable farmers to make informed management decisions to mitigate SWR development and maintain soil health in a changing climate. Full article
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17 pages, 9864 KB  
Article
Effect of Transformation Plasticity on the Residual Stress of Laser–MAG Hybrid Welding of 30MnCrNiMo High-Strength Steel
by Haotian Sun, Yongquan Han, Ruiqing Lang, Boyu Song, Zhenbang Sun and Xulei Bao
Materials 2026, 19(5), 1022; https://doi.org/10.3390/ma19051022 - 6 Mar 2026
Viewed by 417
Abstract
In the current numerical simulation study of high-strength steel welding, ignoring the phase transformation plasticity effect in the coupling analysis led to a significant deviation between the simulated value of residual stress and the experimentally measured value. To investigate the influence mechanism of [...] Read more.
In the current numerical simulation study of high-strength steel welding, ignoring the phase transformation plasticity effect in the coupling analysis led to a significant deviation between the simulated value of residual stress and the experimentally measured value. To investigate the influence mechanism of the Welding Residual Stresses (WRSs) of 30MnCrNiMo armor steel, the transformation plasticity (TP) coefficient (7.81 × 10−5 MPa−1) was measured via a Gleeble 3500, and a Finite Element Model (FEM) of thermal–metallurgical–mechanical coupling considering yield strength, volumetric strain and TP behavior in Solid-State Phase Transformation (SSPT) was developed. The results show that the volume expansion during the SSPT is the main factor for the shift in WRS from tensile to compressive. In contrast, the TP effect reduces the peak longitudinal tensile stress in the Heat-Affected Zone (HAZ) by 51 MPa. It also ultimately neutralizes the compressive component in this region. When the martensite fraction ranges from 0.12 to 0.45, transformation plastic strain becomes the dominant factor, leading to a characteristic evolution of longitudinal stress that initially decreases and subsequently increases. The FEM incorporating the TP effect successfully captures the dual reversals of residual stress in the HAZ. The average relative error between the simulated longitudinal stress and the experimental data obtained via X-ray diffraction (cosα method) is 8.8%. The TP coefficient database and the developed multi-field coupling model markedly enhance the predictive accuracy for WRS in 30MnCrNiMo steel, offering a robust theoretical foundation for the design of stress corrosion resistance and the service life assessment of welded joints in armored vehicles. Full article
(This article belongs to the Section Metals and Alloys)
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16 pages, 2038 KB  
Article
Characterization and Evaluation of Bacillus altitudinis WR7 as a Biocontrol Agent for Rubber Tree Anthracnose
by Xiangjia Meng, Haibin Cai, Dafang Wang, Lifang Zou, Yi Zhou and Min Tu
Plants 2026, 15(5), 786; https://doi.org/10.3390/plants15050786 - 4 Mar 2026
Viewed by 632
Abstract
Anthracnose, caused by Colletotrichum siamense, is a major limiting factor for global natural rubber production. To develop sustainable control strategies, seven bacterial strains with antagonistic activity against C. siamense were isolated from healthy rubber tree leaves, with strain WR7 demonstrating the most [...] Read more.
Anthracnose, caused by Colletotrichum siamense, is a major limiting factor for global natural rubber production. To develop sustainable control strategies, seven bacterial strains with antagonistic activity against C. siamense were isolated from healthy rubber tree leaves, with strain WR7 demonstrating the most significant antifungal effect, exhibiting an inhibition rate of 82.36%. Pot experiments revealed that WR7 achieved a disease control efficacy of 71.65% against C. siamense-induced anthracnose. Genomic analysis identified WR7 as Bacillus altitudinis. This strain inhibits pathogen growth through multiple mechanisms, including disruption of the pathogen’s cell wall and membrane integrity, induction of reactive oxygen species accumulation in hyphae, and secretion of cellulase, glucanase, protease, and siderophores. Gene cluster analysis further confirmed the potential of WR7 to synthesize antagonistic secondary metabolites such as lichenysin, fengycin, and bacilysin, while its sterile filtrate and volatile compounds also exhibited significant antifungal activity. Moreover, treatment with WR7 activated defense-related enzymes, including catalase and superoxide dismutase in rubber tree leaves, thereby enhancing the plant’s defense responses. This study is the first to report that Bacillus altitudinis WR7 has potential as a biocontrol agent for managing rubber tree anthracnose, offering a novel resource for sustainable disease management in rubber production. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
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27 pages, 29487 KB  
Article
Revealing the Morpho-Kinematics of NGC 2371—A Planetary Nebula with a [WR] Central Star
by Roberto Vázquez, Jesús A. Toalá, Luis F. Miranda, Sandra Ayala, María E. Contreras, Marco A. Gómez-Muñoz, Pedro F. Guillen, Lorenzo Olguín, Gerardo Ramos-Larios, Laurence Sabin and Federico Soto-Badilla
Galaxies 2026, 14(2), 15; https://doi.org/10.3390/galaxies14020015 - 27 Feb 2026
Viewed by 716
Abstract
We present new high-dispersion optical spectra of the planetary nebula NGC 2371 obtained with the Manchester Echelle Spectrometer at the OAN-SPM 2.1 m telescope, complemented with 3D morpho-kinematic modelling using ShapeX. The data reveal that the present-day morphology of NGC 2371 is [...] Read more.
We present new high-dispersion optical spectra of the planetary nebula NGC 2371 obtained with the Manchester Echelle Spectrometer at the OAN-SPM 2.1 m telescope, complemented with 3D morpho-kinematic modelling using ShapeX. The data reveal that the present-day morphology of NGC 2371 is the outcome of multiple episodic mass-loss events rather than a single outflow. Our best-fitting model simultaneously reproduces the direct images and the Position–Velocity (PV) diagrams, and consists of a barrel-shaped shell with younger polar caps, extended bipolar lobes, and a pair of misaligned low-excitation [N ii] knots interpreted as jet-like ejections. The derived kinematical ages of the main structures, spanning ≃1600 to ≃4400 yr, indicate successive episodes of mass loss with different geometries and timescales. The nearly perpendicular bipolar lobes, the absence of a pronounced waist, and the surface distortions of the large-scale structures cannot be explained solely by standard axisymmetric wind interactions. Instead, our results point to a combination of shaping agents, including a late thermal pulse (born-again scenario) possibly related to the H-deficient [WR]-type nature of the central star, binary-driven interactions, and episodic jet activity. NGC 2371 thus provides a particularly instructive case where multiple shaping agents may operate, and where some of the relevant physical processes remain only marginally explored in current models of PN formation and evolution. Full article
(This article belongs to the Special Issue Origins and Models of Planetary Nebulae, 2nd Edition)
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29 pages, 674 KB  
Article
The Algorithmic Regulator
by Giulio Ruffini
Entropy 2026, 28(3), 257; https://doi.org/10.3390/e28030257 - 26 Feb 2026
Viewed by 1456
Abstract
The regulator theorem states that, under certain conditions, any optimal controller must embody a model of the system it regulates, grounding the idea that controllers embed, explicitly or implicitly, internal models of the controlled. This principle underpins neuroscience and predictive brain theories like [...] Read more.
The regulator theorem states that, under certain conditions, any optimal controller must embody a model of the system it regulates, grounding the idea that controllers embed, explicitly or implicitly, internal models of the controlled. This principle underpins neuroscience and predictive brain theories like the Free-Energy Principle or Kolmogorov/Algorithmic Agent theory. However, the theorem is only proven in limited settings. Here, we treat the deterministic, closed, coupled world-regulator system (W,R) as a single self-delimiting program p via a constant-size wrapper that produces the world output string x fed to the regulator. We analyze regulation from the viewpoint of the algorithmic complexity of the output, K(x) (regulation as compression). We define R to be a good algorithmic regulator if it reduces the algorithmic complexity of the readout relative to a null (unregulated) baseline ⌀, i.e., Δ=KOW,KOW,R>0. We then prove that the larger Δ is, the more world-regulator pairs with high mutual algorithmic information are favored. More precisely, a complexity gap Δ>0 yields Pr((W,R)x)C 2M(W:R)2Δ, making low M(W:R) exponentially unlikely as Δ grows. This is an AIT version of the idea that “the regulator contains a model of the world.” The framework is distribution-free, applies to individual sequences, and complements the Internal Model Principle. Beyond this necessity claim, the same coding-theorem calculus singles out a canonical scalar objective and implicates a planner. On the realized episode, a regulator behaves as if it minimized the conditional description length of the readout. Full article
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14 pages, 664 KB  
Article
Evaluating the Relationship Between Electrical Dynamic Range and Speech Perception Outcomes in Experienced Post-Lingually Deaf Adult Cochlear Implant Users: A Bicentric Study
by Pietro Salvago, Davide Vaccaro, Fulvio Plescia, Francesca Di Marco, Sabrina Loteta, Daniele Portelli, Giuseppe Alberti, Francesco Dispenza, Francesco Freni, Pasquale Riccardi and Francesco Martines
Audiol. Res. 2026, 16(2), 31; https://doi.org/10.3390/audiolres16020031 - 25 Feb 2026
Viewed by 466
Abstract
Objectives: To analyze speech perception outcomes of a cohort of experienced adult cochlear implant (CI) users to explore whether there is a correlation with electrical dynamic range (EDR) parameters, and to describe speech intelligibility curve morphology according to the degree of CI performance. [...] Read more.
Objectives: To analyze speech perception outcomes of a cohort of experienced adult cochlear implant (CI) users to explore whether there is a correlation with electrical dynamic range (EDR) parameters, and to describe speech intelligibility curve morphology according to the degree of CI performance. Methods: A bicentric retrospective observational study. Data were extracted from a cochlear implantation database from a total of 36 CI users implanted with Advanced Bionics devices. Results: Mean age at implantation was 56.61 years. In the majority of cases, hearing loss onset was more than 15 years before implantation (80.55%), and only 11.11% of cases preserved residual hearing. This resulted in a significant relationship between speech therapy and better speech recognition (p = 0.044). At the same time, no correlation was found between age, duration of deafness before implantation, and maximum speech perception achieved (p > 0.05). Mean speech audiometry curves displayed a roll-over phenomenon in poor performers and a plateau effect in average performers. In contrast, the mean curve of high performers exhibited a steeper morphology (p < 0.0001). Speech recognition threshold (SRT) and word recognition score (WRS) were predictors of speech audiogram curves (p = 0.006). No direct correlation was found between the mean T-level, M-level, dynamic range, and maximum recognition score, even after clustering electrodes by position along the cochlea (p > 0.05). Conclusions: EDR parameters did not emerge as independent predictors of speech recognition outcomes within this specific cohort. Speech therapy and rehabilitative efforts showed a significant relationship with improved performance, and speech audiogram curve morphology may offer a more specific clinical tool for assessing global CI performance. Further prospective studies with larger, more homogenous populations are required to validate these findings. Full article
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21 pages, 3082 KB  
Article
Climate Indices as Potential Predictors in Empirical Long-Range Meteorological Forecasting Models
by Sergei Soldatenko, Genrikh Alekseev, Vladimir Loginov, Yaromir Angudovich and Irina Danilovich
Forecasting 2026, 8(1), 9; https://doi.org/10.3390/forecast8010009 - 22 Jan 2026
Viewed by 595
Abstract
Improving the accuracy of climate and long-range meteorological forecasts is an important objective for many economic sectors: agriculture, energy and utilities, transportation and logistics, construction, disaster risk management, insurance and finance, retail, tourism and leisure. Traditional physical models face limitations at ultra-long lead [...] Read more.
Improving the accuracy of climate and long-range meteorological forecasts is an important objective for many economic sectors: agriculture, energy and utilities, transportation and logistics, construction, disaster risk management, insurance and finance, retail, tourism and leisure. Traditional physical models face limitations at ultra-long lead times, which motivates the development of empirical–statistical approaches, including those leveraging deep learning techniques. In this study, using ERA5 reanalysis data and archives of major climate indices for the period 1950–2024, we examine statistical relationships between climate indices associated with large-scale atmospheric and oceanic patterns in the Northern Hemisphere and surface air temperature anomalies in selected mid- and high-latitude regions. The aim is to assess the predictive skill of these indices for seasonal temperature anomalies within empirical forecasting frameworks. To this end, we employ cross-correlation and cross-spectral analyses, as well as regression modeling. Our findings indicate that the choice of the most informative predictors strongly depends on the target region and season. Among the major indices, AMO and EA/WR emerge as the most informative for forecasting purposes. The Niño 4 and IOD indices can be considered useful predictors for the Eastern Arctic. Notably, the strongest correlations between the AMO, EA/WR, Niño 4, and IOD indices and surface air temperature occur at one- to two-year lags. To illustrate the predictive potential of the four selected indices, several multiple regression models were developed. The results obtained from these models confirm that the chosen set of indices effectively captures the main sources of variability relevant to seasonal and interannual temperature prediction across the analyzed regions. In particular, approximately 64% of the forecasts have errors less than 0.674 times the standard deviation. Full article
(This article belongs to the Section Weather and Forecasting)
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11 pages, 3060 KB  
Communication
Design and Implementation of a Ku Band Waveguide Energy-Selective Device
by Tongxin Liu, Chenxi Liu, Yanqing Cheng and Yanlin Xu
Photonics 2026, 13(1), 101; https://doi.org/10.3390/photonics13010101 - 22 Jan 2026
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Abstract
This paper presents a waveguide energy-selective device operating in the Ku band. By utilizing the nonlinear characteristics of PIN diodes, the device can autonomously switch its operating state according to the power level of incident signals inside the waveguide, achieving an adaptive transmission [...] Read more.
This paper presents a waveguide energy-selective device operating in the Ku band. By utilizing the nonlinear characteristics of PIN diodes, the device can autonomously switch its operating state according to the power level of incident signals inside the waveguide, achieving an adaptive transmission response. Concurrently, through a dual-layer structural design and optimized inter-layer coupling, it enables the device to deliver broadband-protective performance within the Ku band. To validate its feasibility, the device was designed and implemented based on the waveguide WR62. The results indicate that during the transmission of a −10 dBm signal, the device exhibits insertion loss fluctuating around 1 dB within the 13–17 GHz band, whereas under 45 dBm signal incidence, the shielding effectiveness exceeds 10 dB across this frequency range. The device can be integrated into waveguides to provide adaptive high-power protection, thus demonstrating significant application potential in the field of electromagnetic protection for sensitive electronic equipment. Full article
(This article belongs to the Special Issue Advances in Terahertz and Microwave Electromagnetic Manipulation)
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