Interference Reduction Research Articles

Contextual cues can be used to predict the likelihood of and reduce interference from salient distractors.

Our attention can sometimes be disrupted by salient but irrelevant objects in the environment. This distractor interference can be reduced when distractors appear frequently, allowing us to anticipate their presence. However, it remains unknown whether distractor frequency can be learned implicitly across distinct contexts. In other words, can we implicitly learn that in certain situations a distractor is more likely to appear, and use that knowledge to minimize the impact that the distractor has on our behavior? In two experiments, we explored this question by asking participants to find a unique shape target in displays that could contain a color singleton distractor. Forest or city backgrounds were presented on each trial, and unbeknownst to the participants, each image category was associated with a different distractor probability. We found that distractor interference was reduced when the image predicted a high rather than low probability of distractor presence on the upcoming trial, even though the location and (in Experiment 2) the color of the distractor was completely unpredictable. These effects appear to be driven by implicit rather explicit learning. We conclude that implicit learning of context-specific distractor probabilities can drive flexible strategies for the reduction of distractor interference.

Enhanced buck-boost converter performance using a snubber circuit and advanced semiconductor devices

Conventional buck-boost converter designs often suffer from efficiency losses and performance degradation due to switching transients and voltage spikes. To address these challenges, we propose the incorporation of a snubber circuit, which is designed to absorb and mitigate these detrimental effects. The study involves the design, implementation, and experimental evaluation of the proposed enhanced buck-boost converter. The analysis focuses on the impact of the snubber circuit on key performance metrics, including efficiency, thermal behavior, and electromagnetic interference (EMI) reduction. The experimental results indicate that the snubber circuit significantly reduces voltage spikes and switching losses, leading to improved converter efficiency and reliability. These findings provide valuable insights for optimizing converter designs in a variety of applications, from renewable energy systems to portable electronic devices, ultimately contributing to the advancement of power electronics technology. Finally, the performance of the proposed converter is analyzed using advanced semiconductor devices.

Performance of Ad Hoc Wireless Networks under Coexistence Scenario: A Case Study

Owing to the possibility of interference, signal contention, and performance degradation, coexisting IEEE 802.11 (WiFi) and IEEE 802.15.4 (Zigbee, 6LoWPAN) technologies in the 2.4 GHz ISM band presents considerable issues. More packet loss, delay, and decreased throughput for low-power networks can arise from IEEE 802.11's larger bandwidth, higher transmission power, and higher data rates overpowering IEEE 802.15.4's lower power and narrower bandwidth transmissions. This work explores the main facets of their coexistence, emphasising the effects of interference on performance measures including throughput, latency, and energy efficiency and frequency overlap. Dynamic frequency selection and channel allocation algorithms are only a few of the interference reduction techniques that are examined in the analysis. This research offers valuable insights into the more harmonious coexistence of these two wireless technologies in shared surroundings, enabling dependable operation for low-power IoT networks and high-speed Wi-Fi applications. These insights are gained through simulation and experimental validation.

Kolam-Inspired Frequency Hopping: An Innovative Approach for Interference Reduction in Wireless Communication

The integration of cultural patterns into engineering applications opens new avenues for innovation and efficiency. This research explores the application of Kolam patterns, a traditional Indian art form characterized by its symmetry and periodicity, in frequency hopping for wireless communication systems. Kolam-inspired frequency hopping sequences are designed and compared with conventional pseudorandom sequences using key performance metrics, including Bit Error Rate (BER) and Signal-to-Interference Ratio (SIR). Simulations conducted under varying conditions of frequencies, number of users, hops, and Signal-to-Noise Ratio (SNR) reveal that Kolam-based sequences demonstrate superior interference management and lower error rates. The results underscore the potential of Kolam patterns to improve spectral efficiency and reliability in modern communication networks. This study paves the way for further exploration of cultural and mathematical patterns in optimizing wireless technologies.

Significant Improvement Noted in Vulvodynia when Pelvic Neurogenic Inflammation is Addressed

Synopsis/Brief Summary Vulvodynia is effectively treated by the PRM Protocol™, which improves pain, function, and quality of life in patients with chronic pelvic pain. Objective: Vulvodynia, characterized by chronic pain and/or discomfort around the opening of the vulva, is known to affect up to 16% of adult women and may present as constant or intermittent pain that negatively impacts patients’ personal and working lives, as well as mental health and relationships. This study aimed to test the effectiveness of a multimodal neuromuscular treatment protocol in treating chronic pelvic pain and vulvodynia symptoms and improving pain and function. Methods: 59 patients ages 20-79 presented to an outpatient clinic with pelvic pain and Vulvodynia symptoms. These symptoms had, on average, persisted for 6 years. All patients underwent a once-weekly, six-week treatment (the PRM Protocol) consisting of ultrasound-guided pelvic floor musculature trigger-point injections and peripheral nerve blocks. To measure the effects of this treatment, a 0-10 Visual Analogue Scale (VAS) was used to measure pelvic pain intensity, and the Functional Pelvic Pain Scale (FPPS) was used to measure function across multiple areas. These measures were taken on patients’ first visit to a clinic and three months after treatment began. Results: VAS scores improved by an average of 51%. Before treatment, the mean VAS score was 7.93 (SD=1.61) (a=0.05; CI 7.52-8.34), and the posttreatment mean VAS score was 3.9 (SD=2.19) (a=0.05; CI 3.34-4.46) (P<0.0001). Pelvic pain functionality improved by 23% after three months. Pretreatment FPPS scores averaged at 12.34 (SD=5.8) (a=0.05; CI 10.86-13.82), decreasing to 9.53 (SD=5.43) (a=0.05; CI 8.14-10.91) after treatment (P<0.0001). FPPS functions that showed the most significant improvement were Sleep, which improved by 39%; Intercourse, which improved by 28%; and Walking, which improved by 28%. Conclusions: These results indicate that a six-week treatment consisting of once-weekly ultrasound-guided pelvic floor musculature trigger-point injections and peripheral nerve blocks combined with once-weekly pelvic floor physical therapy was very effective at relieving pain and improving function for patients with Vulvodynia. Significant reductions in opiate use, ER visits, and pain interference at work were observed following treatment.

Compact metasurface antenna for Sub-6 GHz applications with isolated n77/n78 bands using CSRR

Abstract A compact (0.35 λ 0 × 0.35 λ 0 where λ 0 is free space wavelength at the lower resonance frequency 3.50 GHz) bio-inspired tulip flower-shaped antenna (TFSA) is proposed. A double negative (DNG) metamaterial complementary split ring resonator (CSRR) is introduced near the feed in the hybrid triangular-circular patch which inserts a notch-band (4.20–4.38 GHz) in the wide bandwidth (3.15–7.05 GHz) and makes the antenna response dual-band. Consequently, this results in in-band interference reduction in 5G-Sub-6 GHz applications. A slotted FSS is placed at a distance of 28.507 mm beneath the monopole-reduced ground of the antenna to enhance the reduced gain from 4.39 dBi to 7.22 dBi. A further gain is improved to 12.84 dBi by placing a full copper surface (0.35 λ 0 × 0.35 λ 0 ) as the reflector layer is placed below FSS at 1.6 mm. Finally, prototyped TFSA with FSS and reflector model achieve a dual bands reflection coefficient response (3.15–4.20 GHz): n77/n78, and (4.38–7.03 GHz): n46/n47/n96/n102/n79. The antenna reflection coefficient is tested using Keysight 14 GHz FieldFox Microwave Analyzer N9916A, and radiation patterns in the E-plane and H-plane are measured using an 18 GHz anechoic chamber. The comparison of simulated results with measured results is found an excellent match in bandwidth and with shapes of gain radiation patterns. The reflector and FSS jointly make the radiation pattern strong in the E-plane above the TFSA radiator. The antenna is well suited for n77/n78 (3.30–4.20 GHz), n79(4.40–4.99 GHz), n46 (5150–5925 MHz), n47 (5855–5925 MHz), n96/n102 (5925–6425 MHz), 5.8 GHz HiperLAN, WiMAX 3.5 GHz applications. An electrical equivalent circuit model of the proposed TFSA antenna is presented and validated using ADS software.

Effective signal denoising with adaptive polynomials

Abstract The study presents an informatic model for signal processing and noise reduction, harnessing the assistance of mathematics. Advanced noise reduction algorithms are applied to improve signal quality. A MATLAB program was developed integrating algorithms designed to reduce noise regardless of its parameter. Employment of adaptive polynomials was also utilized to enhance the reduction of noise interference. All algorithms within the model have been thoroughly automated, ensuring seamless execution. The results demonstrate significant improvements in signal clarity, with filtered signals closely matching the expected noiseless signals. One of the model’s aims was to achieve a significant reduction in noise emitted by rapidly moving objects, an aim that was effectively achieved. The model is applicable in various fields requiring precise signal analysis, demonstrating robust noise reduction capabilities. As an example, it could encompass security-oriented applications such as radar systems and communication networks.

Does sleep quality mediate the association between post-traumatic stress disorder symptom severity and pain interference in trauma-affected refugees?

Poor sleep quality is well recognised in both post-traumatic stress disorder (PTSD) and pain conditions. Comorbid chronic pain is prevalent in populations with PTSD and is believed to maintain symptoms of PTSD and increase the complexity of the condition. Ongoing diminished sleep quality may serve to maintain pain and PTSD symptoms, and thus affect the efficacy of first-line PTSD treatment. This study examined the mechanisms underlying the PTSD-pain relationship over time by investigating if perceived sleep quality mediates the relationship between PTSD symptom severity and levels of pain interference. Furthermore, we considered whether the interrelation between these three variables could in fact be linked in an alternative model where the causality was reversed, with pain interference mediating the relation between PTSD severity and perceived sleep quality. Relationships among our variables were assessed within a path analysis framework, conducted and controlled for covariates using structural equation modelling and mediation analysis. The analysis of our hypothesised model revealed that improvement in perceived sleep quality was a significant partial mediator of the association between reduction in PTSD severity and pain interference. Approximately 28% of the effect of PTSD severity on pain interference was mediated by improvement in perceived sleep quality. Evaluation of our alternative model revealed a non-significant mediation effect. Sleep thus represents a modifiable mechanism that contributes to the mutual maintenance of PTSD and pain. The study is the first to investigate these relationships in trauma-affected refugees and thus contributes new knowledge and clinical implications for the treatment of poor sleep quality and pain symptomatology in trauma-affected refugees.

Electrochemical Impedance Spectra Measurements and Analysis of Polymer Electrolyte Membrane Electrolysis on Short Stack

Energy storage is becoming increasingly urgent as the share of fluctuating renewable energies increases in order to utilize the full potential of power plants and stabilize the grid in times of lower yields. Water electrolysis is therefore a promising solution for converting energy into hydrogen, which offers the opportunity of long term, even seasonal energy storage, albeit with lower round-trip efficiency compared to established battery technology.In a comparative technology assessment among AEM, SOEC, PEM, and AEL Polymer Electrolyte Membrane electrolysis excels in terms of power density >2 A/cm² and partial load stability, although it has disadvantages in terms on precious metal usage in catalysts and highly conductive corrosion resistant coatings for porous transport layers.In this work the method of electrochemical impedance spectroscopy will be investigated to gain insight into kinetics and transport processes at different operation conditions. Furthermore, we will investigate degradation losses and establish a state of health monitoring at a short stack level. Since stack designs for atmospheric PEM-Electrolysis enables easy single cell voltage monitoring the Impedance response to a superimposed applied AC-current signal can be picked up from each cell individually. Yet, the large footprint of “technical cells” leads to very low overall impedance thus making signal pickup and analysis more challenging compared to single cell or RDE measurements on small active area. Applying a precise high power signal, precise measurement of small AC contributions at a high DC background and the reduction of interferences with other components such as interferences from the power line or ripples in the DC part as well as temporal and spatial homogeneity of the sample under test are posing constraints for the recording and interpretation of electrochemical impedance spectra.We studied different setups of power electronics with add-on impedance spectrometers, both in serial and parallel configuration. The test object, shown in figure1b), was a 282 cm² active area PEM-electrolysis short stack of 3 cells derived from a an open source “generic PEM fuel cell stack” design which was operated at atmospheric pressure in a Greenlight G200 test rig (figure1a)) modified for electrolysis operation. A zahner IM6 impedance spectrometer in combination an EL1000 was used for the modulation of the alternating current signal. For comparison AC-modulation using a tunable AC frequency generator already implemented in the DC Power supply was studied. The current and voltage signals in this setup were recorded and analyzed using a high-speed transient recorder. The resulting impedance spectra of both devices are shown in Figure 1c) at different current densities. The spectra recorded were analyzed by standard methods via assignment of equivalent circuits. We studied the reproducibility and assignability of different time constants to different processes and equivalent circuit parameters depending on the operating conditions and the actuation amplitudes.From the results of these studies, we derived optimization potential for the electrolysis stack design. Furthermore, we studied degradation processes as a consequence of accelerated stress tests providing a data basis for electrolyzer stack operation and predictive maintenance. Figure 1

Internet-Delivered Pain Resilience Therapy: A Multi-Subject Case Series

ObjectivePain is a multifaceted phenomenon; therefore, innovative, multisystem approaches are recommended as a path to pain recovery. Pain Resilience Therapy (PRT) was developed as a novel, resilience-focused approach to pain management. MethodsThree people with chronic pain received tele-physical therapy using PRT. The primary aim of PRT was to facilitate the development of pain resilience. Addressing vulnerability was a secondary aim. Treatment results were assessed using validated self-report measures for pain intensity, resilience, vulnerability, interference, patient outcome expectations, expectancies, and perspectives. ResultsAll patients demonstrated a reduction in pain intensity and pain interference (PROMIS®) with associated improvements in activity, sleep, mood, and stress measured by the Defense and Veterans Pain Rating Scale (DVPRS 2.0). Resilience (positive affect/coping) and self-efficacy increased, as measured by the Pain Self-Efficacy Questionnaire (PSEQ), Self-Efficacy for Rehabilitation (SER), Chronic Pain Acceptance Questionnaire (CPAQ), and the Pain Resilience Scale (PRS). Certain measures related to vulnerability (negative mood and fear avoidance) also improved. The PRT intervention was safely delivered and patients reported their health as very much improved measured by the Patient Global Impression of Change (PGIC) survey. ConclusionThis case series supports the application of PRT’s resilience-focused approach to attenuate pain and vulnerability while improving physical and psychological well-being. Although there is a need for research elucidating change mechanisms, assisting patients/clients in accessing resources that facilitate resilience is a valid pathway to pain recovery. This case series is a step toward integrating an understanding of resilience within the broader context of pain and disability.

Advanced, Real-Time Programmable FPGA-Based Digital Filtering Unit for IR Detection Modules

This paper presents a programmable digital filtering unit dedicated to operating with signals from infrared (IR) detection modules. The designed device is quite useful for increasing the signal-to-noise ratio due to the reduction in noise and interference from detector–amplifier circuits or external radiation sources. Moreover, the developed device is flexible due to the possibility of programming the desired filter types and their responses. In the circuit, an advanced field-programmable gate array FPGA chip was used to ensure an adequate number of resources that are necessary to implement an effective filtration process. The proposed circuity was assisted by a 32-bit microcontroller to perform controlling functions and could operate at frequency sampling of up to 40 MSa/s with 16-bit resolution. In addition, in our application, the sampling frequency decimation enabled obtaining relatively narrow passband characteristics also in the low frequency range. The filtered signal was available in real time at the digital-to-analog converter output. In the paper, we showed results of simulations and real measurements of filters implementation in the FPGA device. Moreover, we also presented a practical application of the proposed circuit in cooperation with an InAsSb mid-IR detector module, where its self-noise was effectively reduced. The presented device can be regarded as an attractive alternative to the lock-in technique, artificial intelligence algorithms, or wavelet transform in applications where their use is impossible or problematic. Comparing the presented device with the previous proposal, a higher signal-to-noise ratio improvement and wider bandwidth of operation were obtained.

Hybrid-coupler-based quasi-reflectionless balanced bandpass filter with all common mode suppression

Hybrid-coupler-based quasi-reflectionless balanced bandpass filter (BPF) is proposed and demonstrated in this paper. The reflectionless balanced BPF is comprised of two hybrid couplers and a filtering crossover. The filtering crossover is composed by a dual-mode ring resonator coupled with four short-circuited open-loop resonators, which is used to replace the traditional two BPFs for reduction of interference. Hybrid couplers are used for absorbing the reflected interference to the input and output ports. In order to achieve common-mode (CM) suppression, a double-layer structure with the same microstrip configuration on the upper and lower surfaces is adopted. The absorption characteristics of the differential mode (DM) and CM signals are optimized by hybrid couplers with improved ground. A third-order quasi-reflectionless balanced BPF with central frequency of 2.3 GHz and fractional bandwidth of 14 % is designed, fabricated, and measured. The final measured results demonstrate great consistency with the simulated ones.

Optimizing the function of aircraft WiFi based on the Internet of Things

Abstract. This paper explores the potential of full-duplex wireless communication technology to mitigate interference in aircraft WiFi systems, thereby enhancing the internet access quality and passenger experience. The study focuses on the application of Internet of Things (IoT) technology to improve the resilience of aircraft WiFi systems against interference. Through a series of MATLAB simulations, the research demonstrates that full-duplex technology can effectively cancel out interference signals, leading to clearer and more stable communication quality. The results show that the combined signal, after cancellation, closely resembles the original communication signal, indicating a significant reduction in interference. Despite the promising results, the study acknowledges limitations such as idealized assumptions in the simulation, hardware and software constraints, and the lack of consideration for the complex electromagnetic environment encountered during actual flight operations. Future research should focus on developing more advanced interference detection and mitigation algorithms, and further investigation into the integration of full-duplex technology with existing aircraft WiFi systems, considering hardware constraints and environmental factors, is necessary to fully realize its potential in enhancing communication performance.

Design and Analysis of Sierpinski Fractal Antennas for Millimeter‐Wave 5G and Ground‐Based Radio Navigation Applications

ABSTRACTThe paper describes compact fractal antennae combined with ground defected structures (DGS) and substrate integrated waveguide (SIW) techniques for enhancing resonate and multiband behavior concerning bandwidth, gain, and radiation in the desired mm‐wave region. Based on the proposed antennae, multiple good notches over wide bands depict a good radiation pattern. The antennae's ultra wide bandwidths (UWB) are 16, 16, and 11.4 GHz concerning resonant frequencies 26.34, 30.35, 34.5, 36.65 GHz; 25.8, 32.2, 35.3 GHz; 30.22, 37.68 GHz, of concerning antennae ant 1 (FA1), 4 (FA2), and 6 (FA3), respectively. The proposed antenna (FA3) with the SIW technique has a peak gain of 5.9 dBi and a peak front‐to‐back ratio of 20 dB, respectively. The proposed antennas are targeted to cover the practical contribution aspect, including advanced 5G bands support (24–40 GHz), broadband spectrum, frequency agility, low 3 dB beamwidth, interference reduction, and medical application suitability, respectively. The proposed antennae also cover the desired mm wave 5G region with different resonating notches over ultra‐wide bandwidth, such as n257, n258, n259, n260, and n261, and ground‐based radio navigation applications. Results are validated with vector network analyzer, spectrum analyzer, and power sensor in the presence of absorber, respectively.

What determines the overall quality of postoperative pain management? Aquestion of perspective

The outcome domains pain intensity, pain-related interference, side effects, (treatment) information, participation and personal interaction have all been identified as relevant factors in the management of perioperative pain. However, it is not yet clear which of these are particularly significant for the subjectively perceived overall quality of postoperative pain management. Anewly developed questionnaire was used in this cross-sectional study to assess the relevance of these domains for patients and compare the relevance to healthcare professionals (HCP). The patient survey (n = 40) was conducted on the first postoperative day at Jena University Hospital, Germany. In order to investigate group differences, 63 HCP (disciplines: n = 15 anaesthesiology, n = 17 surgery, n = 31 nursing) were recruited. The questionnaire primarily included all pairwise comparisons between the domains with regard to the overall quality of postoperative pain management. The resulting sum scores for each domain were the primary outcome measure, which were analysed using generalized estimating equations. Within the group of patients, there were significant differences in the prioritization of the six outcome domains, with personal interaction followed by intensity and interference having received the highest ratings. There were also significant differences within the domains between the perspectives of patients and HCP, as well as between the HCP themselves. The study demonstrates that personal interaction and the reduction of pain intensity and interference are three key factors that are significant for patients' experience of postoperative pain management. However, the extent to which the harmonisation of these three factors with those given prominence by HCP would positively impact postoperative pain management remains unclear and should be investigated further.

7874 Management Of “Hyperandrogenism” Confounded By Dermatology Biotin Prescriptions

Abstract Disclosure: S.S. Sundar: None. S. Shankar: None. M.S. Vaishnav: None. L. Lekkala: None. S. Sathyanarayana: None. C. Siddlingappa: None. K. M: None. T.-. Kamala: None. R.B. V: None. V. Nath: None. M.D. Chitra: None. P. Ravikumar: None. Introduction: Immunoassay interferences include: Cross-reactions, heterophile antibodies, biotin and anti-analyte antibodies, with positive or negative bias, leading to difficulties in clinical decision-making (confounding diagnosis, unnecessary investigations or inappropriate treatments). The interfering substance may be exogenous (e.g., drug or substance absorbed by patient) or endogenous (e.g., antibodies produced by patient). Clinical Case 2023 Dec 1 Dermatology management for hyperandrogenism 28-year-old female evaluated for acne 3 years (increased 4 months), hair fall 6 months and hirsutism 3 years (threading) Total Testosterone 443 ng/dL (10-55) CLIA Free Testosterone 8.9 pg/mL (0.1-6.4) ELISA DHEAS 209 µg/dL (35-430) CLIA S Cortisol 8 am 6.9 µg/dL (2.6-10.5) CLIA LH 4.2 mIU/mL (1.9-12.5); FSH 5.3 mIU/mL (3.0-8.0) T3 133 ng/dL (80-200); T4 8.5 ug/dL (4.8-12.7), TSH 3.78 µIU/mL (0.5-5.3) HbA1c 5.0%; Glucose fasting 81 mg/dL; Insulin fasting 39.4 mU/L (3-25); HOMA-IR 5.2; HOMA%B 380; HOMA%S 19.2; T3 133 ng/dL (80-200) 2023 Dec 14 Endocrinology for “scaringly” very high testosterone levels Menstrual history: Menarche 11 years; Cycles regular. Unmarried Family history: Diabetes++; Hirsutism+; Infertility- Physical exam: Height 159 cm; Weight 55 kg; BMI 21.8 kg/m2; Ferriman Gallwey score 11; Pulse 75; BP 79/62; Thyroid: Grade 0. In view of total testosterone levels in “neoplastic androgen excess” range, further endocrinology evaluations (multiple labs and assays) were carried out. However, discordance between the mild clinical versus severe biochemical hyperandrogenism was noted. Review of the dermatology prescription indicated that patient had consumed only one 10 mg tablet of biotin 36 hours before the earlier blood draw obtained by dermatologist. Total Testosterone 22.3 and 33.8 ng/dL (6-82) ECLIA; 19.7 (15-70) LCMS Free Testosterone 0.69 pg/mL (< 2.85) (ELISA) DHEAS 101 µg/dL (45-380) LCMS Androstenedione 104 ng/dL (75-205) LCMS 17OH Progesterone 0.89 ng/mL (0.16-2.05) EIA; 0.40 (0.35-2.9) LCMS S Cortisol 5.92 ug/dl (6-18) ECLIA; 5.45 (5-23) LCMS FSH 2.74; LH 6.07; Prolactin 20.1 ng/mL (4.7-23.3) T3 114 ng/dL; T4 7.2 µg/dL; TSH 1.29 Diagnosis Falsely elevated total testosterone (and free testosterone) levels due to biotin immunoassay interference. Clinical Lessons: Very limited studies exist confirming the exact clinical indications for biotin (eg: improvement of hair quality or quantity, or nail growth). FDA warning highlights biotin’s interference (false elevations or reductions) with immunoassays relying on biotin-streptavidin technology. Physicians must ask patients about supplement usage, and discontinue biotin for 8 hours for patients taking 10 mg/day, 3 days for 100-300 mg/day, 7 days for children taking 2 and 15 mg/kg/daily, and inform laboratory if diagnostic test was performed while taking biotin. Presentation: 6/2/2024

Research of productivity and interlayer interference mechanism of multilayer co-production in reservoirs with multi-pressure systems

Abstract Due to the differences of physical and fluid properties in vertical oil layers, the interlayer contradictions are prominent and affect the reservoir utilization degree seriously. Therefore, the coordination between reasonable bottom-hole flow pressure and optimal production, as well as the reduction of interlayer interference are the primary concerns during the co-production of multi-layer oil reservoirs. Based on the reservoir engineering and fluid mechanics in porous media theory, this work adopt the comprehensive pressure system and consider the interlayer interference to establish a multi-branch horizontal well productivity model and interlayer interference mathematical model. By analyzing the main controlling factors and interference mechanisms, this article establishes a pattern of interlayer interference, and improves the quantitative characterization interlayer interference theory in multi-layer combined mining. The study has shown that: (1) The interlayer interference is beneficial for balancing the production of different layers and improving development efficiency, it is greatly affected by interlayer heterogeneity; (2) When the number of layers exceeds 2 layers, the interference coefficient increases; With the increase of the layer thickness, the thicker oil layers have higher productivity, and the thickness of layer has a significant effect on the production of low-pressure layer; When the production pressure difference increases, the interlayer interference can be reduced; (3) The interlayer interference mathematical model constructed in this paper has high prediction accuracy and strong practicality, which has theoretical guidance significance for the division of strata in comprehensive adjustment of reservoirs.

Performance analysis of multiuser mmWave DCT-spread CP-Less OFDM communication system

In this paper, we propose a framework for multiuser mmWave DCT-Spread CP-less OFDM communication system and analyze it comprehensively. Due to excessive cyclic prefix (CP) usage in conventional multicarrier systems, spectral efficiency reduces and increases transmission latency. Our proposed system enhances spectral efficiency and reduces transmission latency. We introduce an image encryption algorithm based on DNA encoding combined with a chaotic map is introduced to enhance physical layer security (PLS). The impact of block diagonalization (BD) channel precoding for multiuser interference (MUI) reduction and designed subcarrier mapping with time-domain Tukey windowing for out-of-band (OOB) power emission reduction are investigated. In addition, the paper studies the applicability of discrete cosine transforms (DCT)-Spreading for peak-to-average power ratio (PAPR) reduction. Simulation results demonstrate that Turbo and Repeat and Accumulate (RA) channel coding and minimum mean square error (MMSE) and Cholesky decomposition (CD)-based zero-forcing (ZF) signal detection schemes improve bit error rate (BER) performance of the proposed system for different users.

Interference Reduction in UWB Receivers Using Miniaturized Axially Rotated Resonator Based UWB Notch Filter

Interference Reduction in UWB Receivers Using Miniaturized Axially Rotated Resonator Based UWB Notch Filter

Chronic pain after traumatic brain injury: a collaborative care approach.

Chronic pain is common after traumatic brain injury (TBI), frequently limits daily activities, and is associated with negative outcomes such as decreased community participation. Despite the negative impact of chronic pain, few people with TBI receive effective treatment. This paper describes a collaborative care (CC) intervention, TBI Care, adapted specifically to treat chronic pain in people living with TBI, emphasizing expert clinician input, cognitive behavioral therapy (CBT) techniques, and other non-pharmacological approaches for decreasing pain interference. 79 participants engaged in the CC intervention from two academic medical rehabilitation clinics with weekly assessments of pain intensity, interference, and medication use. Participant feedback on the intervention was gathered by interview with the care manager (CM) at the last treatment session and/or booster session. Provider feedback was gathered by a confidential survey post intervention. Ninety percent of participants received at least 11 of the target 12 sessions with a care manager (CM), the majority occurring over the phone. Participants endorsed an average of 7 pain locations. All participants received pain education, skills in self-monitoring, goal setting/behavioral activation and relaxation training. Pain interference scores (impact on activity and enjoyment), tracked weekly by the CM, significantly decreased across sessions. 89% of participants received recommendations for CBT skills, 65% received referrals for additional treatments targeting pain interference, and 43% received care coordination. 75% of participants reported 6 or more medications/supplements at both the first and last session, with changes recommended primarily for headache treatment. Feedback from participants and providers was positive. TBI Care, a novel patient-centered CC approach, was flexibly delivered, tailored to the needs of those living with TBI and chronic pain, with a high level of participant engagement, and satisfaction among participants and providers. This approach, prioritizing pain self-management strategies and other non-pharmacological approaches, along with optimizing pharmacological treatment, led to significant reductions in self-reported pain interference and intensity during the intervention. Using a CC model in TBI is feasible and successfully improved access to evidence-based treatments for chronic pain as well as outcomes for pain interference and intensity. ClinicalTrials.gov, identifier NCT03523923.