Success Rate Of Recovery Research Articles

Low success rate of recovery of Sporothrix spp. from a fungal collection using storage through mineral oil technique

Low success rate of recovery of Sporothrix spp. from a fungal collection using storage through mineral oil technique

Application of free forearm flap in reconstruction of postoperative defect of external nasal malignant tumor

Objective:To investigate the therapeutic effect of free forearm flaps in repairing the postoperative defect of external nasal malignant tumor. Methods:Six patients with nasal malignant tumor were treated with radical operation of external nasal malignant tumor and simultaneous reconstruction of external nasal defects with free forearm flap. Preoperative Allen experiment, ultrasonic Doppler blood flow meter or CT angiography confirmed that the forearm blood vessels were in good condition. Results:The free forearm flaps were obtained from six patients, and completely survived. During the follow-up period of 6-12months, all patients had good external nasal morphology, good nasal function, no nasal obstruction and anterior nostril stenosis, no obvious complications in donor hand and no local cancer recurrence. Conclusion:The free forearm flap is a reliable method to reconstruction the postoperative defect of external nasal malignant tumor, with a high success rate and good recovery of morphology and function recovery.

Predictors of Relapse in Women after Substance Use Treatment: A Cross-sectional Study in the West of Iran

Background: Many individuals undergo drug addiction treatment relapse after treatment. Additionally, a few studies have focused on the unique challenges faced by women in addiction recovery. Therefore, we aimed to identify predictors of relapse among women who have undergone drug addiction treatment to develop a more effective intervention program tailored to their needs. Methods: The present cross-sectional study evaluated 320 addicted women from Lorestan province, Iran, in 2020 who had used illegal substances. Convenience sampling was used to select participants from outpatient addiction treatment centers, triangular clinics, and rehabilitation centers. Demographic characteristics, drug use patterns, and risk factors for addiction were recorded. Predictors of relapse were evaluated using a negative binomial regression model. Results: The study included women with a mean age of 34.78±9.31 years who had a history of drug addiction relapse. Around 43.44% of the women were married and 36.88% lived with their husbands. Methamphetamine, opium, and heroin were the commonly used drugs. The study found that women with primary school education had a higher rate of relapse (IRR: 1.71, p = 0.01) and women with husbands being substance users (IRR: 1.34, p = 0.014), history of imprisonment (IRR: 1.51, p = 0.002), smoking (IRR: 1.91, p < 0.001), and alcohol consumption (IRR: 1.49, p = 0.005) were also associated with a higher rate of relapse. Conclusion: In conclusion, this study found that women with primary school education, husbands being substance users, history of imprisonment, smoking, and alcohol consumption behavior had a higher rate of relapse. By addressing the identified predictors of relapse, such programs can improve the success rate of addiction treatment and promote long-term recovery among women. In addition, this study highlights that addiction relapse is not necessarily caused by a single factor, and several different personal and environmental factors can influence this issue.

Aircraft Upset Recovery Strategy and Pilot Assistance System Based on Reinforcement Learning

The upset state is an unexpected flight state, which is characterized by an unintentional deviation from normal operating parameters. It is difficult for the pilot to recover the aircraft from the upset state accurately and quickly. In this paper, an upset recovery strategy and pilot assistance system (PAS) based on reinforcement learning is proposed. The man–machine closed-loop system was established and the upset state, such as a high angle of attack and large attitude angle, was induced. The upset recovery problem was transformed into a sequential decision problem, and the Markov decision model of upset recovery was established by taking the deflection change of the control surface as the action. The proximal policy optimization (PPO) algorithm was selected for the strategy training. The adaptive pilot model and the reinforcement learning method proposed in this paper were used to make the aircraft recover from the upset state. Based on the correspondence between the flight state, the recovery method, and the recovery result, the aircraft upset recovery safety envelopes were formed, and the four-level upset recovery PAS with alarm warning, coordinated control, and autonomous recovery modes was constructed. The results of the digital virtual flight simulation and ground flight test show that compared with a traditional single pilot, the aircraft upset recovery strategy, the upset recovery safety envelopes, and the PAS established in this study could reduce the handling burden of the pilot and improve the success rate and effect of upset recovery. This research has certain theoretical reference values for flight safety and pilot training.

Increasing Operational Resiliency of UAV Swarms: An Agent-Focused Search and Rescue Framework

Resilient UAV (Unmanned Aerial Vehicle) swarm operations are a complex research topic where the dynamic environments in which they work significantly increase the chance of systemic failure due to disruptions. Most existing SAR (Search and Rescue) frameworks for UAV swarms are application-specific, focusing on rescuing external non-swarm agents, but if an agent in the swarm is lost, there is inadequate research to account for the resiliency of the UAV swarm itself. This study describes the design and deployment of a Swarm Specific SAR (SS-SAR) framework focused on UAV swarm agents. This framework functions as a resilient mechanism by locating and attempting to reconnect communications with lost UAV swarm agents. The developed framework was assessed over a series of performance tests and environments, both real-world hardware and simulation experiments. Experimental results showed successful recovery rates in the range of 40%–60% of all total flights conducted, indicating that UAV swarms can be made more resilient by including methods to recover distressed agents. Decision-based modular frameworks such as the one proposed here lay the groundwork for future development in attempts to consider the swarm agents in the search and rescue process.

Development of self care agency based-independent nursing guidance in tuberculosis patients at public health center, North Sumatera

BackgroundTuberculosis (TB) is an infectious disease that causes health problems and is the main cause of death in the world. TB caused by Mycobacterium Tuberculosis bacillus can spread in the air if a patient who is sick with TB exhales coughs containing TB bacteria. One of the supporters of the success rate of TB recovery is the patient's ability to carry out independent care consisting of treatment, prevention and transmission, fulfillment of nutrition, and increasing the patient's self-confidence. PurposeThis study aims to produce agency-based self-care guidelines for TB patients with output in the form of self-care guidelines for tuberculosis patients at the Sentosa Baru Health Center, North Sumatera. MethodThe method of this research is action research which consists of the stages of reconnaissance, planning, acting observation, and reflecting. Data collection methods used patient knowledge questionnaires about tuberculosis self-care, Focus Group Discussions (FGD), and In-depth Interviews for participants' knowledge. The participants involved in this study were 22 participants using a purposive sampling technique from October 2018 to January 2019. Data analysis used qualitative methods. Qualitative data were obtained through the results of FGDs and in-depth interviews about self-care. ResultsThis study has produced self-care agency-based self-care guidelines for tuberculosis patients. This study produced four themes, namely 1) the development of self-care guidelines for TB patients, 2) the benefits of self-care guidelines for TB patients, and 3) factors in supporting self-care for TB patients. ConclusionThe successful treatment of TB patients at the Sentosa Baru Public Health Center, North Sumatera, requires agency-based self-care guidelines to produce maximum tuberculosis care.

The trial of sending short message service multidrug-resistant tuberculosis patients in Indonesia: the chance to increase knowledge and motivation.

Multidrug-Resistant Tuberculosis (MDR TB) is a threat for the future control of TB disease. In Indonesia, the success rate of MDR TB patient recovery is still very low, following the still low recovery rate of TB patients. This paper aims to discuss the trial result of message delivery containing knowledge and motivation to the MDR TB sufferers. There are about 34 MDR TB patients participating in this research. During the research, everyone received a message in their handphone or the handphone of their family members every day, contained information on medication and motivation to comply with the medication. At the end of the research, the measurement on knowledge and attitude, on the compliance with medication, and on the compliance with laboratory examinations was conducted. The results were compared with the assessment before this intervention was conducted. Out of 32 patients that managed to complete the intervention, the average means of their knowledge and attitude increased significantly. The average mean of knowledge before the intervention was 9.74 to become 10.94, and the average mean of attitude was from 7.06 to become 18.47 (P<0.05). Meanwhile, the medication compliance score and the laboratory examination compliance score also changed significantly (P<0.05). SMS delivery routinely even in a short period of time managed to change knowledge and motivation of MDR TB sufferers. To conclude, it is necessary to develop recent technology effort in order to scaling-up MDR TB patients. Existing social channels in the community must be used intensively to reduce this disease negative impact.

Water-in-oil droplet-mediated method for detecting and isolating infectious bacteriophage particles via fluorescent staining.

Bacteriophages are the most abundant entities on Earth. In contrast with the number of phages considered to be in existence, current phage isolation and screening methods lack throughput. Droplet microfluidic technology has been established as a platform for high-throughput screening of biological and biochemical components. In this study, we developed a proof-of-concept method for isolating phages using water-in-oil droplets (droplets) as individual chambers for phage propagation and co-cultivating T2 phage and their host cell Escherichia coli within droplets. Liquid cultivation of microbes will facilitate the use of microbes that cannot grow on or degrade agar as host cells, ultimately resulting in the acquisition of phages that infect less known bacterial cells. The compartmentalizing characteristic of droplets and the use of a fluorescent dye to stain phages simultaneously enabled the enumeration and isolation of viable phage particles. We successfully recultivated the phages after simultaneously segregating single phage particles into droplets and inoculating them with their host cells within droplets. By recovering individual droplets into 96-well plates, we were able to isolate phage clones derived from single phage particles. The success rate for phage recovery was 35.7%. This study lays the building foundations for techniques yet to be developed that will involve the isolation and rupturing of droplets and provides a robust method for phage enumeration and isolation.

Prevention of complications of surgical treatment of stage III-IV cystocele using light polypropylene mesh.

The purpose of study was to report the subjective and objective results of different methods of surgical treatment of cystocele using the transvaginal Mesh-system. A prospective study was conducted from January 2017 to December 2020 comparing anterior colporrhaphy with vaginal mesh and two distinct types of vaginal wall repair sutures in the surgical treatment of cystocele. The primary endpoint was the incidence rate of vaginal wall erosion complications 12 months after surgery. Secondary endpoints were anatomic outcomes, TVM-related morbidity, and patient satisfaction measured using validated questionnaires. In total, 102 patients with stage III-IV cystocele and the average age of 67.2 ± 3.1 years (age range of 47-79 years old) took part in the study. Of the 102 women initially enrolled, 102 (100%) were successfully followed up 12 months after primary surgery. The primary result, the objective erosion development, was radically different in the comparison groups (1.6% against 23.5%, respectively). Analysis of the improved method of operative treatment showed a prominent level of positive, uncomplicated, surgery results of 98.4% (60/61). The anatomic success rate of recovery from cystocele was 99.9% (101/102) 12 months after surgery. The suggested method of restoring the anterior vaginal wall in stage III-IV isolated cystocele without signs of incomplete and complete prolapse of the uterus showed a radically positive result. The number of complications was relatively high in the comparison group, but no difference was observed in satisfaction with the anatomical results of the surgery. The percentage of the vaginal wall erosion when using a single-layer suture is 23.5%, when using a two-layer suture is 1.6.

Using a drifting GPS-Argos satellite buoy as a method for detecting acoustic-tagged fish offshore in an ancient lake

BackgroundTelemetry methods that allow low-cost, offshore tracking are required for the effective conservation and sustainable use of migratory fish in large lakes with vast and deep offshore areas. Surface drifting buoys, or drifters, are promising platforms for acoustic receiver attachment that have few operational constraints. However, the low recovery rate of drifters in the open ocean presents a challenge. In contrast, closed waters, such as lakes, are more suitable for operating drifters since drifting objects eventually strand on the shore. In this study, we examined the effectiveness of a single GPS-tracked drifter for telemetry surveys of the common carp Cyprinus carpio, which migrates throughout the large offshore area of a large lake, Lake Biwa, in Japan. Its performance was assessed regarding the success rate of drifter recovery, detection frequency of tagged individuals, search area of the drifter, and accuracy of detection locations.ResultsWe successfully recovered the drifter during all eight deployments. In 6 deployments, tagged individuals were detected 777 times. The drifter successfully detected 48% (10 of 21) of the tagged individuals, exhibiting higher performance (10–33%) than fixed receivers used in other telemetry studies conducted on highly migratory fish species in the lake. The drifter scanned an area of 5.5–8.0 km2 per day. Based on the data obtained from the field trials, the horizontal location accuracy of detected individuals was estimated to be approximately 400 m in shallow coastal areas and 600 m in deep offshore areas. Furthermore, the horizontal distance of tagged individuals traveled was estimated to be between 2 and 9 km within a day.ConclusionOur newly developed method deploys and retrieves a single GPS drifter that allows low-cost, wide-ranging telemetry surveys in offshore areas of large lakes. The lack of boat noise, moderate moving speed, and continuity of observation range of the drifter seemingly enabled the efficient detection of tagged individuals. Thus, the drifter method offers a promising novel approach for acoustic telemetry in offshore waters that can operate in combination with large receiver arrays and other mobile platforms.

Frame recovery using multiple images in rolling shutter based systems

AbstractAn algorithm for recovering transmitted static identifiers (IDs) in rolling shutter based Optical Camera Communication systems is proposed by the authors, considering a system comprised of a camera and a circular light source. The goal is to allow the correct decoding when the ID frame is only partially detected in the image. A baseline algorithm as reference for the frame recovery success rate (FRSR) and a reconstruction algorithm based on the idea of capturing multiple frame fragments and reassembling them is proposed in order to recover the transmitted ID not entirely seen on a single image. It was proven, by simulation, that the maximum distance at which the IDs recovery can be guaranteed is increased by 2.5 fold with the proposed algorithm, for 6‐bit, 8‐bit and 10‐bit codewords. An experimental validation algorithm was also proposed, using image processing techniques to extract the bitstreams and test the ID recovery process. The proposed algorithm improves the FRSR for a given distance, even in the presence of considerable bit errors in the bitstreams extracted from the images.

Multiple-Valued Plaintext-Checking Side-Channel Attacks on Post-Quantum KEMs

In this paper, we present a side-channel analysis (SCA) on key encapsulation mechanisms (KEMs) based on the Fujisaki–Okamoto (FO) transformation and its variants. Many post-quantum KEMs usually perform re-encryption during key decapsulation to achieve chosen-ciphertext attack (CCA) security. The side-channel leakage of re-encryption can be exploited to mount a key-recovery plaintext-checking attack (KR-PCA), even if the chosen-plaintext attack (CCA) secure decryption constructing the KEM is securely implemented. Herein, we propose an efficient side-channel-assisted KR-PCA on post-quantum KEMs, and achieve a key recovery with significantly fewer attack traces than existing ones in TCHES 2022 and 2023. The basic concept of the proposed attack is to introduce a new KR-PCA based on a multiple-valued (MV-)PC oracle and then implement a dedicated MV-PC oracle based on a multi-classification neural network (NN). The proposed attack is applicable to the NIST PQC selected algorithm Kyber and the similar lattice-based Saber, FrodoKEM and NTRU Prime, as well as SIKE. We also present how to realize a sufficiently reliable MV-PC oracle from NN model outputs that are not 100% accurate, and analyze the tradeoff between the key recovery success rate and the number of attack traces. We assess the feasibility of the proposed attack through attack experiments on three typical symmetric primitives to instantiate a random oracle (SHAKE, SHA3, and AES software). The proposed attack reduces the number of attack traces required for a reliable key recovery by up to 87% compared to the existing attacks against Kyber and other lattice-based KEMs, under the condition of 99.9999% success rate for key recovery. The proposed attack can also reduce the number of attack traces by 85% for SIKE.

Research on the Rescue Time of the Taiwan Marathon Emergency Medical Service System Between 2013 and 2021.

While there are several studies on marathon injuries worldwide, there are no related studies on the Taipei Marathon regarding the rescue time of onsite injury cases, the incidence of out-of-hospital cardiac arrest (OHCA) cases, and the success rate of recovery of spontaneous circulation (ROSC). This study aims to fill that gap. The rescue time onsite of contact injury cases was in the prime time for lifesaving. Descriptive epidemiological study. Level 2c. This is a retrospective study of numerical and timeflow data using descriptive statistics. Our data were obtained from records of the Taipei Marathon from 2013 to 2021. These included (1) notification data, (2) the time record of the emergency care personnel in contact with patients, (3) incidence of OHCA, (4) the success rate of ROSC, (5) the location of occurrence of OHCA, and (6) emergency medical service capacity and configuration. The average time taken for first contact was 1.56 minutes in OHCA cases, and the total incidence rate of OHCA in 9 years was 4 people per 100,000 people, with a 100% ROSC success rate. Further, the location of OHCA cases was mostly in Q4 of the race (66.67%), followed by Q3 (22.22%) and Q2 (1.11%). The average number of emergency care personnel per marathon was 78, spread across 6 rescue and 6 medical stations and equipped with 8 ambulances and 35 automated external defibrillators. Shortening the arrival time of medical personnel to the scene and implementing a complete chain of survival can improve survival rates. Other ways to provide faster and more timely emergency rescue services require further study. Contact with patients as soon as possible, timely implementation of cardiopulmonary resuscitation, and use of an automated external defibrillator are the basic requirements of the chain of survival theory.

Extraction method for the multiresidue analysis of legacy and emerging pollutants in marine mussels from the Adriatic Sea

The release of hazardous chemicals into aquatic environments has long been a known problem, but its full impact has only recently been realized. This study presents a validated liquid chromatography–mass spectrometry (HPLC–MS/MS) method for detecting pharmaceutical and pesticide residues in mussels (Mytilus galloprovincialis). An innovative MS-compatible extraction method was developed and validated, demonstrating successful recovery rates for analytes at three different concentration levels (25–95%). The method detected the target analytes at ng/g concentrations with high accuracy (−7% to 11%) and low relative standard deviation (<10%) for both intra-day and inter-day analyses. After validation, the method was applied to mussel samples collected from a commercial farm near Senigallia, Adriatic Sea, detecting different contaminants in the range of 2–40 ng/g (dry weight). The study provides a valuable tool for investigating the potential threats posed by diverse contaminant classes with high annual tonnage, including analytes with known persistence and/or illegal status.

Breaking Fault Attack Countermeasures With Side-Channel Information

In the persistent fault-based collision attack (PFCA) [1], the adversary captures the information that the intermediate states have collided through identical correct/incorrect ciphertexts. However, fault countermeasures achieve suppression of incorrect ciphertexts and prevent the PFCA. In this paper, we measure the collision of internal states (or state bytes) using side-channel information. First, for round-level countermeasures, we identify state bytes hitting the same persistent fault during the first round of encryption by the shortest runtime. Additionally, we design sliding-window algorithms to automatically identify the runtime of one-round encryptions suitable for different execution environments. Second, for algorithm-level protections, we detect the collision of the internal states after the first round of encryption through the maximum similarity of power consumption traces. Meanwhile, to address the low success rate of key recovery caused by miss detection due to noise within runtime or power consumption, we further revise the original filtering algorithm in PFCA. Third, we implement round-level protected AES on PC to measure runtime, and both AES protected by round-level (or algorithm-level) countermeasures and SM4 [2] protected by a round-level countermeasure on a smart card to collect power consumption. Finally, the experimental result proves that the revised PFCA successfully recovers the key.

Aerodynamic configuration and control optimization for a novel horizontal-rope shipborne recovery fixed-wing UAV system

Efficient UAV performance and a perfect recovery system are required to achieve the safe and reliable shipborne recovery of fixed-wing UAVs, which is essential for expanding their marine applications. In this study, taking an automatic horizontal-rope shipborne recovery (aHRSR) system as the recovery platform, a joint optimisation method of fixed-wing UAVs combined aerodynamic configuration and control optimisation was investigated. First, the distribution of a dynamic system was adopted to attain aerodynamic optimisation. A wing-mounted double-engine pull (WMDE-PULL) configuration was developed based on the slipstream effect. Compared with the tail-mounted single-engine push (TMSE-PUSH) configuration, the WMDE-PULL configuration could significantly enhance the lift and low-speed characteristics and eliminate the disturbances from the reaction torque of the single-engine propeller. This aerodynamic optimisation method evidently improved the control accuracy of the controller. To offset the comprehensive disturbance under complex conditions at the sea, including the internal disturbance of the additional torque and external disturbance of the wake, the acceleration feedback method was implemented for the inner loop attitude of the original controller. The optimised controller had good robustness and stability. Several experiments were conducted for the recovery of the optimised UAV on the aHRSR system, and a recovery success rate of 100% was achieved. The results show that the joint optimisation method of fixed-wing UAVs is valid and practical, and the recovery scheme of an optimised fixed-wing UAV on an aHRSR system provides practical reference for shipborne recovery.

PowerDP: De-Obfuscating and Profiling Malicious PowerShell Commands With Multi-Label Classifiers

In recent years, PowerShell has become the common tool that helps attackers launch targeted attacks using living-off-the-land tactics and fileless attack techniques. Unfortunately, malware-derived PowerShell Commands (PSCmds) have typically been obfuscated to hide the malicious intent from detection and analysis. Also, malicious PSCmds’ expansive use of multiple obfuscation strategies and encryption methods makes them difficult to be revealed. Despite the advances in malicious PSCmds detection incorporating new approaches such as machine learning and deep learning, there is still no consensus on the solution to de-obfuscating malicious PSCmds and profiling their behavior. To address this challenge, we propose a hybrid framework that combines deep learning and program analysis for automatic PowerShell De-obfuscation and behavioral Profiling (PowerDP) through multi-label classification in a static manner. First, we use character distribution features to forecast obfuscation types of malicious PSCmds. Second, we developed an extensive de-obfuscator utilizing static regular expression replacement to recover the original content of obfuscated PSCmds based on the predicted obfuscation types. Finally, we profile the behavior of PSCmds by features extracted from the abstract syntax tree of PSCmds after de-obfuscation. Our results show that PowerDP achieves a promising 99.82% accuracy and 0.18% hamming loss in obfuscation multi-label classification using deep learning. Furthermore, the successful recovery rate of the de-obfuscator against 15 obfuscation types is 98.11% on average with semantic similarity comparison, and the accuracy of the behavior multi-label classification for identifying 5 behaviors in malicious PSCmds averages 98.53%. The evaluation indicates that PowerDP is able to classify and profile complicated PSCmds.

Recovery rate of severe acute malnourished children aged 6-59 months enrolled in outpatient therapeutic program at health posts of Central Gondar zone, Ethiopia.

Background: Inadequate intake of food is one of the causes of malnutrition and has significant impact on the deaths of children in low-income countries. Community-based management of acute malnutrition was endorsed as a strategy to alleviate such burdens of child morbidity and mortality associated with malnutrition. Despite outpatient therapeutic program has decentralized to health post level, there is still a lack of adequate evidence regarding the recovery rates from outpatient therapeutic program at health post level in Ethiopia. In addition, the previous body of articles did not show the local situations, particularly the recovery rates of severe acute malnutrition children from outpatient therapeutic program in the central Gondar zone, Ethiopia. Aim: This study aimed to assess recovery rate and associated factors among severe acute malnourished children enrolled to outpatient therapeutic program at health posts of Central Gondar zone, Ethiopia. Methods: This study was a facility-based retrospective cross-sectional study conducted on 349 children who had managed for severe acute malnutrition in outpatient therapeutic program in Central Gondar zone from March to May 2021. A structured and pre-tested data extraction checklist adapted from literatures was used to collect the data. The children were selected using consecutive sampling from 39 health posts. Data were entered, cleaned, coded and analyzed using Stata version 14 software. Binary logistic regression was fitted to identify factors associated with recovery rate from outpatient therapeutic program. Adjusted odds ratio with 95% confidence interval and p-value <0.05 were used to declare the variables statistically significant with the recovery rate from outpatient therapeutic program. Results: The successful recovery rate for severe acute malnourished children admitted to outpatient therapeutic program was 74.2% (95% CI: 69.3, 78.6). False recovery, death, default, non-responder and medical transfer out rates were 12.6%, 8.6%, 2.9%, 0.9% and 0.9%, respectively. In addition, the average weight gain of children was 4.4 g/kg/day for the length of stays, and the average length of stay was also 6.7 (±1.3SD) weeks. Breastfeeding status (AOR = 1.72; 95% CI: 1.05, 2.83), antibiotics (amoxicillin) provision (AOR = 2.14; 95% CI: 1.07, 4.25) and vitamin A supplementation (AOR = 1.93; 95% CI: 1.13, 3.30) were positively associated with the recovery rate of severe acute malnourished children admitted to outpatient therapeutic program. Conclusion: In this study, we found that the recovery, death and default rates were in the acceptable ranges of sphere standards. Therefore, health extension workers shall manage to shape service providers of outpatient therapeutic program with severe acute malnutrition management protocol. Special attention was also needed to build capacity of health extension workers to alleviate knowledge gaps on children enrolled to and discharge from outpatient therapeutic program at health posts. Dietary counselling is essentially required to improve maternal diets, which can affect the nutritional status of breastmilk.

Template Attack of LWE/LWR-Based Schemes with Cyclic Message Rotation

The side-channel security of lattice-based post-quantum cryptography has gained extensive attention since the standardization of post-quantum cryptography. Based on the leakage mechanism in the decapsulation stage of LWE/LWR-based post-quantum cryptography, a message recovery method, with templates and cyclic message rotation targeting the message decoding operation, was proposed. The templates were constructed for the intermediate state based on the Hamming weight model and cyclic message rotation was used to construct special ciphertexts. Using the power leakage during operation, secret messages in the LWE/LWR-based schemes were recovered. The proposed method was verified on CRYSTAL-Kyber. The experimental results demonstrated that this method could successfully recover the secret messages used in the encapsulation stage, thereby recovering the shared key. Compared with existing methods, the power traces required for templates and attack were both reduced. The success rate was significantly increased under the low SNR, indicating a better performance with lower recovery cost. The message recovery success rate could reach 99.6% with sufficient SNR.

Efficient Underwater Sensor Data Recovery Method for Real-Time Communication Subsurface Mooring System

Marine submerged buoys can effectively obtain various parameters of seawater, which plays an important role in the research of marine physical phenomena, marine environmental changes, and climate change. However, traditional self-contained submerged buoys usually work underwater at a depth of about 100 m, and the observation data cannot be obtained before their recovery, which cannot satisfy the needs of real-time data acquisition for marine scientific research. To solve this problem, this paper proposes a real-time communication subsurface mooring system that consists of a satellite communication buoy (SCB), conductivity–temperature–depth sensors (CTD), and an inductive coupling mooring cable. The underwater inductive coupling link collects the data from the underwater sensors and transmit it to the SCB. Then, the data will be transmitted to the station receiver via satellite communication module integrated into the SCB. In order to ensure a high success rate of data recovery, the stress analysis and hydrodynamic simulation of the SCB were carried out in this paper. The results show that the SCB maintained a relatively stable attitude in the 3–4 sea state. The attitude data obtained from the subsequent sea trial was consistent with the simulation results, and the success rate of satellite communication during this period was more than 95%. In this paper, a modular embedded hardware circuit was designed to meet the functional requirements of the subsurface mooring system. An efficient data recovery strategy was also developed, which ensured that the average power consumption of the system was low and the success rate of data recovery is not less than 90% when operating in the severe sea state for a long time. The system underwent sea trials in the South China Sea for more than 3 months from the end of 2021 to the beginning of 2022. It transmitted more than 2034 sets of seawater profile temperature, salinity, and depth data in real-time, with a success rate of over 91% of the total sample data. The CTD data returned in real-time from our system is consistent with the data of the HYCOM and World Ocean Atlas (WOA), and a cyclonic mesoscale eddy was detected in the operation area.