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Partial key exposure attacks present a significant threat to RSA-type cryptosystems. These attacks factorize the RSA modulus by utilizing partial knowledge of the decryption exponent, which is typically revealed by side-channel attacks, cold boot attacks, etc. In practice, the RSA implementations typically employ countermeasures to resist physical attacks, such as additive exponent blinding d ′ = d + r φ (N) with unknown random blinding factor r. Although there are a couple of partial key exposure attacks on blinding RSA, these attacks require a considerable amount of leakage and fail to work when e is up to full size. In this paper, we propose new partial key exposure attacks on RSA with additive exponent blinding, focusing on leakage scenarios where the Most Significant Bits (MSBs) or Least Significant Bits (LSBs) of d ′ are revealed. For the case where e is small, we first recover partial information of p by solving the quadratic congruence equation, and then find the small roots of the integer equation to recover entire private key. Our method relaxes the attack requirements, for instance, we reduce the amount of MSBs for a successful attack from 75 to 25% when e ≈ N 0.25 and r ≈ N 0 . Furthermore, we propose new attacks using the unique algebraic relationship in blinding RSA, which extend the attack to the case where e is of full size. [ABSTRACT FROM AUTHOR]

The main goal of this study was to investigate the influence of patient age on humeral implant fixation in stemless reverse shoulder arthroplasty (RSA). The secondary goals were to investigate the influence on the occurrence of complications and on clinical outcomes. We performed a retrospective multicenter study, including a series of patients operated on for stemless RSA. All patients were reviewed at a minimum of 2 years, with clinical and radiographic evaluation. The primary endpoint was the occurrence of migration of the humeral implant at the final follow-up. Secondary endpoints were clinical scores, occurrence of postoperative complications, need for revision surgery, and radiographic changes. Each patient ≥70 year old was matched on gender and body mass index,with a patient < 70 year old on a 1:1 basis. Forty-five patients aged ≥70 years were included and matched, with 45 patients aged <70 years, giving a total of 90 patients (54.4% men) with the mean age being 68.5 ± 7.9 years. There was no difference between the 2 groups in terms of surgical modalities. There was no correlation between age and clinical outcomes. Three migrations of the humeral implant occurred, none leading to a revision, without any influence of age (P = 1.0). We found no correlation between patient age and the occurrence of a postoperative complication (P = 1.0), reoperation (P = 1.0) or any of the other radiographic parameters assessed. This study reported the stability of stemless RSA implants in elderly patients. Clinical outcomes, complication, and revision rates were not affected by age either. [ABSTRACT FROM AUTHOR]

Lateralization Shoulder Angle (LSA) and Distalization Shoulder Angle (DSA) have been proposed to estimate the appropriateness of reverse shoulder arthroplasty (RSA) positioning. The purpose of this study was to evaluate the predictive value of DSA and LSA over clinical outcomes in a group of patients treated by the same surgeon with the same clinical and radiographic follow-up. A retrospective analysis of a consecutive series of RSAs performed between 2017 and 2021 was carried out. Inclusion criteria were primary RSA as a treatment for Cuff Tear Arthropathy, Massive Irreparable rotator cuff tear, Osteoarthritis or Rheumatoid arthritis, a true anteroposterior radiograph of the affected shoulder in neutral rotation at final follow-up, a minimum follow-up of 12 months, radiograph used to measure the angles, and clinical evaluation with the same follow-up. Outcome measures were shoulder range of motion (ROM), visual analog scale (VAS) for pain and Constant-Murley score (CS). A total of 83 patients were included in the study. Patients achieved on average, 130 ± 14.14° of flexion, 97.5 ± 17.67° of abduction, 62.5 ± 3.53° and 72.5 ± 10.60° of external rotation, respectively, at 0° and 90° of abduction, and 5.13° of internal rotation. The mean VAS and CS were, respectively, 2.5 ± 3.5 mm and 69 ± 2.82 points at last follow-up. The mean DSA and LSA were 45 ± 2.72 and 92.99 ± 9.17, respectively. Neither the linear nor the quadratic regression fit for DSA or LSA revealed relevant associations with any of individual ROM measures, except for the quadratic fit correlating LSA and forward flexion (beta = 0.029, P =.027). Linear fit showed a low reverse, but significant, association between DSA and VAS (beta = −0.56, P =.036) and an association of LSA with both CS (beta = −0.344, P =.009) and VAS (beta = 0.091, P =.01). Quadratic models showed higher R squared for all associations, but correlation was significant only between VAS and LSA (beta = 0.006, P =.011) We present the first evaluation of the predictive value of both DSA and LSA in a group of patients treated by the same surgeon with the same clinical and radiographic follow-up. DSA and LSA play only a marginal to no role in the prediction of RSA postoperative ROM and might have a role in predicting VAS and CS. [ABSTRACT FROM AUTHOR]

Anatomic total shoulder arthroplasty (TSA) remains the treatment of choice for primary glenohumeral osteoarthritis with an intact rotator cuff (PGHOA). However, reverse total shoulder arthroplasty (RSA) has gained popularity as a primary procedure in selected patients who may be at risk for postoperative rotator cuff dysfunction or glenoid loosening. The purpose of this study was to compare short-term outcomes between TSA and RSA in patients with PGHOA and limited preoperative forward flexion (FF). A retrospective review was performed on a multi-institutional registry of patients to identify patients aged less than 80 years undergoing TSA or RSA for PGHOA with preoperative FF ≤ 90°. Forty-five TSAs were identified and matched by age and sex to 45 patients undergoing RSA. A subset of 22 TSAs and 24 RSAs with severely limited preoperative FF of ≤ 70° was also analyzed. Range of motion including FF, external rotation and internal rotation, strength, and patient-reported outcomes including visual analog scale pain score, Western Ontario Osteoarthritis of the Shoulder index score, Veterans RAND 12 mental score, American Shoulder and Elbow Surgeons score, and Constant-Murley score were evaluated at a minimum of 2 years postoperative. No significant differences were observed in postoperative FF, external rotation, or strength measurements between groups. The limited FF TSA group achieved significantly improved internal rotation compared to the RSA group (L2 vs. L4, P <.002). No significant differences were observed between TSA and RSA in American Shoulder and Elbow Surgeons, visual analog scale, Constant, or Single Assessment Numeric Evaluation scores (P >.05) for both the overall comparison and subset of patients with FF of ≤ 70°. However, patients in the RSA cohort showed a significantly higher return to normal sporting activities than the TSA group. Patients aged less than 80 years with PGHOA and limited preoperative FF achieve similar postoperative range of motion and patient-reported outcomes whether treated with TSA or RSA. Therefore, limited preoperative FF does not appear to be a major determinant of outcomes for PGHOA. [ABSTRACT FROM AUTHOR]

Reverse shoulder arthroplasty is an established procedure for patients with rotator cuff tear arthropathy. However, the repair of the subscapularis tendon remains a controversial and frequently discussed topic. This prospective randomized study was conducted to evaluate the clinical benefit of the subscapularis repair after reverse shoulder arthroplasty. Fifty patients (36 female and 14 male) were randomized and assigned to either the "repaired" (rep) or the "not repaired" (nrep) cohort. Intraoperatively, the subscapularis tendon was reattached in the rep cohort with 4 tendon-to-tendon sutures, whereas no repair was performed in the nrep cohort. The Constant-Murley Score (CS) and the range of motion were evaluated preoperatively as well as 12 and 36 months postoperatively. The Subjective Shoulder Value and the Lift-off test were performed 36 months postoperatively. The postoperative subscapularis integrity was assessed sonographically. Twelve months postoperatively the rep cohort presented better results in the CS (rep: 71 vs. nrep: 66, P =.037). The normalized CS was 80% in the rep cohort and 75% in the nrep cohort (P =.114). At our last follow-up after 36 months, we did not find significant differences between the rep cohort and the nrep cohort in the CS (rep: 76 vs. nrep: 75, P =.285) and normalized CS (rep: 91% vs. nrep: 91%, P =.388). Concerning internal rotation (in points), the rep cohort achieved better results than the nrep cohort (rep: 7.3 vs. nrep: 6.6, P =.040). Flexion (rep: 145° vs. nrep: 151°, P =.826), abduction (rep: 135° vs. nrep: 137°, P =.816), external rotation (rep: 34° vs. nrep: 37°, P =.817), and the Subjective Shoulder Value (rep: 81% vs. nrep: 77%, P =.398) presented no significant differences between the cohorts. The ultrasound examination after 36 months displayed an intact tendon in 70%. Although the subscapularis repair affects the postoperative internal rotation positively, there were no differences in midterm follow-up concerning the overall results after reverse total shoulder arthroplasty. Further, the external rotation is not affected by the repair of the subscapularis tendon. [ABSTRACT FROM AUTHOR]

The evolution of the Internet of Things paradigm in recent years demonstrate a significant impact on the transportation sector, leading to the emergence of a new research field, known as the Internet of Vehicles (IoV). In the IoV, vehicles can exchange information with each other and with the roadside units making use of Vehicular Ad Hoc Networks (VANETs). As this technology reaches near-to-market maturity levels, several issues arise related to the protection of users' privacy, while the interest of adversaries for such private user data in IoV environments gets stronger. This paper aims to present a review of the state-of-the-art techniques tackling the protection of location privacy in IoV environments, as well as experimental evaluation findings regarding the usage of various cryptographic algorithms for the protection of information exchange in these networks. In the conducted evaluations, the AES algorithm has been used as the main standard, which has been coupled with several other encryption/decryption algorithms, such as RSA, ECC and NTRU. The metrics used for the evaluation include measurements over the key generation process, the certificate generation, the encryption/decryption times, the signature generation/verification times, etc. Moreover, the size of messages in the negotiation, the pseudonym exchange and the new pseudonym enabling phases has been recorded, while the energy consumption in the exchange pseudonyms phase has also been measured. All previous experiments have been carried out mainly on NS-3 and SUMO open-source software aiming to have an estimation of how the aforementioned algorithms behave under constrained resources such as CPU usage and power. [ABSTRACT FROM AUTHOR]

We examined if there were profiles of infants' behavioural and physiological responses during the still‐face and if these profiles were predicted by maternal sensitivity. Participants included 230 mothers (40.4% non‐white) and their 2‐month‐old infants (48.7% female). Three profiles were identified: continually increasing negative affect and decreasing respiratory sinus arrhythmia (RSA) (17.39%); modest, classic still‐face effect for negative affect and RSA (64.35%); high negative affect, late decreasing RSA (18.26%). Infants of highly sensitive mothers were more likely to be in the modest, classic still‐face effect for negative affect and RSA profile than in the continually increasing negative affect and decreasing RSA and the high negative affect, late decreasing RSA profiles. Additionally, infants of mothers who were high in maternal sensitivity were more likely to be in the continually increasing negative affect and decreasing RSA profile compared to the high negative affect, late decreasing RSA profile. The findings demonstrate heterogeneity in infant responses and that maternal sensitivity is an important predictor of children's behavioural and physiological responses to stressors. [ABSTRACT FROM AUTHOR]

Accurate modeling of photovoltaic (PV) modules/cells is crucial for evaluating the efficiency of solar PV systems. However, the lack of specific parameters of solar cells, which are not included in the manufacturer's datasheet, often results in flawed cell modeling. Quick and convenient parameter extraction techniques are required to overcome this challenge and create a robust solar PV cell model. These models are useful in optimization, simulation, and enhanced energy harvesting from PV-based renewable energy systems. This paper uses a recent optimizer called Rat Search Algorithm Particle Swarm Optimization (RSAPSO), for extracting the parameters of single diode and double diode models of PV cells. RSAPSO combines the exploration and exploitation advantages of both algorithms. The RSAPSO's parameter optimization results were compared against five other techniques, and the superiority of the suggested algorithm was confirmed through ranking tests, statistical error analyses, and temperature variation sensitivity analyses. [ABSTRACT FROM AUTHOR]

Background: Clinically, recurrent spontaneous abortion (RSA) is a pregnancy illness that is difficult to treat. Impaired decidualization is a documented cause of RSA, but the etiology and mechanism are still unknown. cAMP-responsive element binding protein 5 (CREB5) is a member of the ATF/CREB family. CREB5 has been reported to be related to pathological pregnancy, but there are few related studies on this topic in patients with RSA, and the underlying mechanism is unclear. Methods: We collected decidual tissues from RSA patients and healthy pregnant women to measure the expression level of CREB5, PRL, IGFBP1, ATG5, LC3B, and SQSTM/p62. Then, the changes in CREB5 expression and autophagy levels were measured in human endometrial stromal cells (hESCs) during decidualization. The expression levels of PRL and IGFBP1 were tested in sh-CREB5/ov-CREB5 hESCs after decidualization induction, and the autophagy level in sh-CREB5/ov-CREB5 hESCs was measured without decidualization induction. The decidualization ability of sh-CREB5 and ov-CREB5 hESCs treated with an autophagy inducer or inhibitor was measured. To investigate the effect of CREB5 in hESCs on the invasion and migration of HTR8/SVneo cells, we performed a coculture experiment. Finally, we examined the expression of CREB5 and autophagy key proteins in mouse decidual tissues by constructing an abortion mouse model. Results: In our study, we found that the expression of CREB5 was unusually elevated in the uterine decidua of RSA patients, but the expression of PRL, IGFBP1, and autophagy were decreased. During the decidualization of hESCs, the expression of CREB5 gradually decreases in a time-dependent manner with increasing autophagy. Moreover, by knocking down or overexpressing CREB5 in hESCs, it was found that CREB5 can impair decidualization and reduce autophagy in hESCs. Furthermore, the damage caused by CREB5 in terms of decidualization can be reversed by the addition of an autophagy inducer (rapamycin). In addition, CREB5 can increase the secretion of proteins (IL-1β and TGF-β1) in hESCs to inhibit trophoblast invasion and migration. Conclusions: Our data support the supposition that CREB5 disturbs the decidualization of endometrial stromal cells and interactions at the maternal–fetal interface by inhibiting autophagy and that its abnormal upregulation and dysfunction may lead to RSA. It may function as a diagnostic and therapeutic target for RSA. Similarly, we found that in the spontaneous abortion mouse model, the expression of CREB5 in the decidual tissue of the abortion group was significantly increased, and autophagy was decreased. [ABSTRACT FROM AUTHOR]

Vitamin E–doped cross-linked polyethylene (VEPE) has encouraged the use of larger heads in thinner liners in total hip arthroplasty (THA). However, there are concerns about wear and mechanical failure of the thin liner, especially when metal heads are used. The aim of this randomized controlled trial was to investigate if the use of a large metal head in thin VEPE liner would increase polyethylene wear compared with a standard 32-mm metal head and to compare periacetabular radiolucencies and patient-reported outcomes in THA. There were 96 candidates for uncemented THA who were randomly allocated to either the largest possible metal head (36 to 44 mm) that could be fitted in the thinnest available VEPE liner (intervention group) or a standard 32-mm metal head (control group). The primary outcome was proximal head penetration, measured with a model-based radiostereometric analysis. Secondary outcomes were periacetabular radiolucencies and patient-reported outcomes. The midterm results of the trial at 5 years are presented. The median total proximal head penetration (interquartile range) was −0.04 mm (−0.12 to 0.02) in the intervention group and −0.03 mm (−0.14 to 0.05) in the control group (P =.691). The rates of periacetabular radiolucencies were 1 of 44 and 4 of 42 (P =.197), respectively. Patient-reported hip function and health-related quality of life did not differ between the groups, but participants in the intervention group reported a higher level of activity (median University of California Level of Activity score 7 versus 6, P =.020). There were 5 revisions caused by dislocations (2), periprosthetic fracture (1), stem subsidence (1), or iliopsoas impingement (1). Large metal heads in thin VEPE liners did not increase liner wear and were not associated with liner failure 5 years after THA. [ABSTRACT FROM AUTHOR]

With increasing data transmission and the escalating risks of data theft, the demand for fast and robust encryption algorithms has intensified. The Rivest Shamir Adleman (RSA) algorithm is a widely used asymmetric cryptographic solution for secure data communication. However, the computational resources required for encryption and decryption processes can become significant, particularly as the volume of data increases. This research paper proposes a dynamic approach to enhance the RSA algorithm tailored explicitly for large-scale data encryption and decryption. The proposed method involves storing the encrypted value of repeated elements, aiming to optimize performance. To evaluate the efficacy of this approach, extensive experiments were conducted on various datasets comprising paragraphs of different sizes. The experiments involved encrypting and decrypting paragraphs containing 10, 50, 100, 200, 500, 1000, and 10,000 words. Comparative analyses were performed against existing RSA, El Gamal, and AES algorithms. Results indicate that the proposed dynamic RSA approach consistently outperforms traditional RSA in terms of encryption time, decryption time, and total execution time across all tested paragraph sizes. The regression analysis revealed stark differences between the two approaches. The regression line for traditional RSA exhibited a significantly steeper slope 1.75 and a substantially higher intercept 1001.42 compared to the proposed dynamic RSA approach, which demonstrated a lower slope 0.0113 and a much smaller intercept 28.58. These findings underscore the superior scalability and efficiency of the proposed dynamic RSA approach over traditional RSA, particularly in handling larger volumes of data while maintaining lower computational overheads. [ABSTRACT FROM AUTHOR]

Abstract Partial key exposure attacks present a significant threat to RSA-type cryptosystems. These attacks factorize the RSA modulus by utilizing partial knowledge of the decryption exponent, which is typically revealed by side-channel attacks, cold boot attacks, etc. In practice, the RSA implementations typically employ countermeasures to resist physical attacks, such as additive exponent blinding $$d' = d + r \varphi (N)$$ d ′ = d + r φ ( N ) with unknown random blinding factor r. Although there are a couple of partial key exposure attacks on blinding RSA, these attacks require a considerable amount of leakage and fail to work when e is up to full size. In this paper, we propose new partial key exposure attacks on RSA with additive exponent blinding, focusing on leakage scenarios where the Most Significant Bits (MSBs) or Least Significant Bits (LSBs) of $$d'$$ d ′ are revealed. For the case where e is small, we first recover partial information of p by solving the quadratic congruence equation, and then find the small roots of the integer equation to recover entire private key. Our method relaxes the attack requirements, for instance, we reduce the amount of MSBs for a successful attack from 75 to 25% when $$e \approx N^{0.25}$$ e ≈ N 0.25 and $$r\approx N^{0}$$ r ≈ N 0 . Furthermore, we propose new attacks using the unique algebraic relationship in blinding RSA, which extend the attack to the case where e is of full size.

Depressive symptoms during the perinatal period have broad and enduring health implications for birthing parents and their offspring. Rising prevalence rates of perinatal depression highlight the need for research examining factors influencing depressive symptoms during pregnancy, and trajectories during the early postnatal period. Grounded in bioecological systems theory, this longitudinal multimethod study examined whether prenatal bioecological factors predict depressive symptoms from pregnancy to 36 months postpartum. Participants were 162 pregnant individuals, oversampled for high emotion dysregulation, who completed a life stress interview and physiological assessment during the 3rd trimester and a self-report measure of depression at five time-points (3rd trimester, within 48 h of birth, 7, 18, and 36 months postpartum). Multilevel models were used to test study aims. Participants exhibited the highest levels of depressive symptoms at 3rd trimester, and substantial variability in depressive symptom trajectories over time. Lower resting respiratory sinus arrhythmia (RSA), an index of parasympathetic nervous system functioning, in the 3rd trimester was associated with higher concurrent depressive symptoms. Higher levels of stress related to partner relationships, finances, and health were concurrently associated with more depressive symptoms during pregnancy and decreases in depressive symptoms over time. Specifically, depressive symptoms decreased only for individuals who reported high levels of stress during pregnancy. Although grounded in bioecological systems theory, this study did not assess the macrosystem. Results of this study underscore the importance of multilevel predictors of perinatal health and highlights potential targets for preventing depression and promoting well-being during the perinatal transition. • Depressive symptoms peaked during third trimester of pregnancy. • Bioecological factors during pregnancy were associated with trajectory of depressive symptoms. • Lower RSA during pregnancy was associated with higher depressive symptoms during pregnancy. • Higher life-stress during pregnancy was associated with higher depressive symptoms during pregnancy. • For women with high stress during pregnancy, depressive symptoms decreased over perinatal period. [ABSTRACT FROM AUTHOR]

One of the primary challenges in Internet data transmission lies in safeguarding data from unauthorized access by potential attackers. The goal of content-adaptive steganography is to conceal data inside the image's intricate texture. This research introduces an improved algorithm for concealing messages within color images. The developed method incorporates bit-plane slicing and the RSA algorithm as its foundation, aiming to achieve a heightened level of security for data hiding. The algorithm's uniqueness lies in its adaptability, where the threshold is determined based on both the text and image characteristics. Subsequently, the public key is employed for encryption the thresholds, while the private key is utilized for decryption it. Performance criteria such as Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR) and the Structural Similarity Index (SSIM) are using to assess the quality of the developed algorithm. The results indicate that when 90,000 bits are conceal in the image, it yields an acceptable PSNR value of 60.5749, MSE of 0.0569, and SSIM of 0.9996. The developed algorithm excels in data hiding, as evidenced by its favorable comparison with other studies.

Abstract Functional constituents are the main concern in food production and consumption. Because foods rich in functional constituents have antioxidant capacity and are important in keeping consumers healthy. Pleurotus ostreatus is among foods rich in functional constituents. However, its functional constituents are affected by various factors. This study compared the antioxidant capacity of P. ostreatus grown on different substrates: straws of tef (Trt1), barley (Trt2), and wheat (Trt3), husks of faba bean (Trt4), and field pea (Trt5), sawdust (Trt6), and the mixture of the above with 1:1 w/w (Trt7). Trt7 had significantly higher radical scavenging activity (RSA) (73.27%), vitamin C (10.61 mg/100 g), and vitamin D (4.92 mg/100 g) compared to other treatments. Whereas the lowest values of RSA (44.24%), vitamin C (5.39 mg/100 g), and vitamin D (1.21 mg/100 g) were found in Trt2. The results indicated that mixed substrate may be a good growth substrate for functionally beneficial P. ostreatus and could be a promising source of natural antioxidants.

User-generated passwords often pose a security risk in authentication systems. However, providing a comparative substitute poses a challenge, given the common tradeoff between security and user experience. This paper integrates cryptographic methods (both asymmetric and symmetric), steganography, and a combination of physiological and behavioural biometrics to construct a prototype for a passwordless authentication system. We demonstrate the feasibility of scalable passwordless authentication while maintaining a balance between usability and security. We employ threat modeling techniques to pinpoint the security prerequisites for the system, along with choosing appropriate cryptographic protocols. In addition, a comparative analysis is conducted, examining the security impacts of the proposed system in contrast to that of traditional password-based systems. The results from the prototype indicate that authentication is possible within a timeframe similar to passwords (within 2 s), without imposing additional hardware costs on users to enhance security or compromising usability. Given the scalable nature of the system design and the elimination of shared secrets, the financial and efficiency burdens associated with password resets are alleviated. Furthermore, the risk of breaches is mitigated as there is no longer a need to store passwords and/or their hashes. Differing from prior research, our study presents a pragmatic design and prototype that deserves consideration as a viable alternative for both password-based and passwordless authentication systems.

Abstract Background X-ray computed tomography (CT) is a powerful tool for measuring plant root growth in soil. However, a rapid scan with larger pots, which is required for throughput-prioritized crop breeding, results in high noise levels, low resolution, and blurred root segments in the CT volumes. Moreover, while plant root segmentation is essential for root quantification, detailed conditional studies on segmenting noisy root segments are scarce. The present study aimed to investigate the effects of scanning time and deep learning-based restoration of image quality on semantic segmentation of blurry rice (Oryza sativa) root segments in CT volumes. Results VoxResNet, a convolutional neural network-based voxel-wise residual network, was used as the segmentation model. The training efficiency of the model was compared using CT volumes obtained at scan times of 33, 66, 150, 300, and 600 s. The learning efficiencies of the samples were similar, except for scan times of 33 and 66 s. In addition, The noise levels of predicted volumes differd among scanning conditions, indicating that the noise level of a scan time ≥ 150 s does not affect the model training efficiency. Conventional filtering methods, such as median filtering and edge detection, increased the training efficiency by approximately 10% under any conditions. However, the training efficiency of 33 and 66 s-scanned samples remained relatively low. We concluded that scan time must be at least 150 s to not affect segmentation. Finally, we constructed a semantic segmentation model for 150 s-scanned CT volumes, for which the Dice loss reached 0.093. This model could not predict the lateral roots, which were not included in the training data. This limitation will be addressed by preparing appropriate training data. Conclusions A semantic segmentation model can be constructed even with rapidly scanned CT volumes with high noise levels. Given that scanning times ≥ 150 s did not affect the segmentation results, this technique holds promise for rapid and low-dose scanning. This study offers insights into images other than CT volumes with high noise levels that are challenging to determine when annotating.

Functional constituents are the main concern in food production and consumption. Because foods rich in functional constituents have antioxidant capacity and are important in keeping consumers healthy. Pleurotus ostreatus is among foods rich in functional constituents. However, its functional constituents are affected by various factors. This study compared the antioxidant capacity of P. ostreatus grown on different substrates: straws of tef (Trt1), barley (Trt2), and wheat (Trt3), husks of faba bean (Trt4), and field pea (Trt5), sawdust (Trt6), and the mixture of the above with 1:1 w/w (Trt7). Trt7 had significantly higher radical scavenging activity (RSA) (73.27%), vitamin C (10.61 mg/100 g), and vitamin D (4.92 mg/100 g) compared to other treatments. Whereas the lowest values of RSA (44.24%), vitamin C (5.39 mg/100 g), and vitamin D (1.21 mg/100 g) were found in Trt2. The results indicated that mixed substrate may be a good growth substrate for functionally beneficial P. ostreatus and could be a promising source of natural antioxidants. [ABSTRACT FROM AUTHOR]

Recent studies have defined pseudoparesis as limited active forward elevation between 45° and 90° and maintained passive range of motion (ROM) in the setting of a massive rotator cuff tear (RCT). Although pseudoparesis can be reliably reversed with reverse total shoulder arthroplasty (RSA) or superior capsular reconstruction (SCR), the optimal treatment for this indication remains unknown. The purpose of this study was to compare the clinical outcomes of RSA to SCR in patients with pseudoparesis secondary to massive, irreparable RCT (miRCT). This was a retrospective cohort study of consecutive patients aged 40-70 years with pseudoparesis secondary to miRCT who were treated with either RSA or SCR by a single fellowship-trained shoulder surgeon from 2016 to 2021 with a minimum 12-month follow-up. Multivariate linear regression modeling was used to compare active ROM, visual analog pain scale (VAS), Subjective Shoulder Value (SSV), and American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form (ASES) score between RSA and SCR while controlling for confounding variables. Twenty-seven patients were included in the RSA cohort and 23 patients were included in the SCR cohort with similar mean follow-up times (26.2 ± 21.1 vs. 21.9 ± 14.7 months, respectively). The patients in the RSA group were significantly older than those in the SCR group (65.2 ± 4.4 vs. 54.2 ± 7.8 years, P <.001) and had more severe arthritis (1.8 ± 0.9 vs. 1.2 ± 0.5 Samilson-Prieto, P =.019). The pseudoparesis reversal rate among the RSA and SCR cohorts was 96.3% and 91.3%, respectively. On univariate analysis, the RSA cohort demonstrated significantly greater mean improvement in active FF (89° ± 26° vs. 73° ± 30° change, P =.048), greater postoperative SSV (91 ± 8% vs. 69 ± 25%, P <.001), lower postoperative VAS pain scores (0.6 ± 1.2 vs. 2.2 ± 2.9, P =.020), and less postoperative internal rotation (IR; 4.6° ± 1.6° vs. 6.9° ± 1.8°, P =.004) compared with SCR. On multivariate analysis controlling for age and osteoarthritis, RSA remained a significant predictor of greater SSV (β = 21.5, P =.021) and lower VAS scores (β = –1.4, P =.037), whereas SCR was predictive of greater IR ROM (β = 3.0, P =.043). Although both RSA and SCR effectively reverse pseudoparesis, patients with RSA have higher SSV and lower pain scores but less IR after controlling for age and osteoarthritis. The results of this study may inform surgical decision making for patients who are suitable candidates for either procedure. [ABSTRACT FROM AUTHOR]

The humeral stem can be a cause of problems in shoulder arthroplasty, for example, loss of bone stock, intraoperative and postoperative periprosthetic fractures, or postoperative infections involving the medullary canal. Therefore, stemless reverse shoulder arthroplasty (slRSA) has gained popularity, particularly in terms of preserving bone stock. However, there are limited data available on the midterm outcomes of slRSA. The objective of this study was to evaluate the clinical, radiologic, and patient-reported outcomes of slRSA at a minimum follow-up period of 2 years. Data on all stemless reverse shoulder prostheses implanted between January 2016 and October 2020 were collected. Patients were followed up at 6 weeks and 6, 12, and 24 months postoperatively. Clinical and radiologic data as well as patient-reported outcome measures were assessed with validated questionnaires (University of California at Los Angeles Shoulder Score [UCLA], American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form [ASES], Quick Disabilities of the Arm, Shoulder, and Hand questionnaire [Quick-DASH], visual analog scale [VAS] for pain, Subjective Shoulder Value [SSV], and Constant-Murley score [CS]). All patients had a minimum follow-up of 2 years. During the observation period, 26 shoulders in 25 patients fulfilled the inclusion criteria. The mean follow-up was 46.8 months (range 25-66). The mean age was 70.1 years (range 59.9-86.4). At the most recent follow-up, a significant improvement was noted in the ASES score (55.9 ± 19.9 vs. 85.6 ± 10.7, P <.001), SSV (44.3 ± 18.7 vs. 85.3 ± 10.4, P <.001), Quick-DASH score (40.6 ± 22.0 vs. 17.8 ± 13.9, P <.001), VAS pain score (4.6 ± 3.2 vs. 0.9 ± 1.2, P <.001), and range of motion in flexion (66 ± 53 vs. 154 ± 22, P <.001) as well as in the absolute (44.1 ± 18.7 vs. 83.1 ± 10.1, P <.001) and relative CS (62.1 ± 27.8 vs. 111.9 ± 13.3, P <.001). Scapular notching was observed in 16% of cases, and radiolucent lines were detected in 28% of cases without symptoms of implant loosening. No revision was necessitated by any causes related to the stemless humeral component. Hence, implant survivorship was 100%. With an ASES score showing a 30-point improvement and thus exceeding the minimal clinically important difference of 21 points and no revisions due to the stemless component, these results indicate that slRSA is a viable option, providing good to excellent midterm outcomes that are comparable to those of stemmed reverse shoulder prostheses, with the added advantage of bone stock preservation. [ABSTRACT FROM AUTHOR]

In an era marked by growing concerns about data security and privacy, the need for robust encryption techniques has become a matter of paramount importance. The primary goal of this study is to protect sensitive information during transmission while ensuring efficient and reliable decryption at the receiver's side. To generate robust and unique cryptographic keys, the proposed approach trains an autoencoder neural network based on hashing and optionally generated prime numbers in the MNIST dataset. The key serves as the foundation for secure communication. An additional security layer to the cryptographic algorithm passing through the first ciphertext, was employed utilizing the XORed and Blum-Blum-Shub (BBS) generators to make the system resistant to various types of attacks. This approach offers a robust and innovative solution for secure data transmission, combining the strengths of autoencoder-based key generation and cryptographic encryption. Its effectiveness is demonstrated through testing and simulations. [ABSTRACT FROM AUTHOR]

In this paper, we explore the impact of quantum algorithms on classical network security. Our analysis focuses on Shor’s algorithm, which excels in factorizing large prime numbers, presenting a significant threat to classical cryptographic protocols. We conduct an in-depth analysis of Shor’s algorithm’s potential effects on HTTPS to highlight its disruptive capabilities. Moreover, to fortify classical cryptographic protocols against quantum threats, we introduce a novel Quantum Intrusion Prevention System (QIPS) scheme. Leveraging basic components like beam splitters and detectors, this solution serves as a dedicated hardware interface between the classical network and external quantum networks. Our proposed QIPS scheme offers enhanced resilience to classical cryptographic protocols, mitigating the vulnerabilities posed by quantum algorithms and reinforcing network security in the face of evolving threats. [ABSTRACT FROM AUTHOR]

In the present time of increasing digital communication, the images are widely used over the multimedia networks for sharing of information. At the same time to ensure the security of images during transmission of data becomes a great challenge for cryptographers. In this paper, a new multi-phases image encryption algorithm based on the RSA cryptosystem and modified random matrix affine cipher (MRMAC) is proposed. The Chen's hyperchaotic system and Arnold cat map are used to create more distraction from the relationship between the original image and ciphered image. The Chen's hyperchaotic system is used for diffusion, whereas the Arnold cat map is used for increasing the confusion among pixels. In this proposed algorithm the image ciphering is carried out in different phases. Firstly the given image is encrypted using RSA algorithm with large primes. Secondly, in modified RMAC, random blocks of random entries using Chen's hyperchaotic system are generated and are diffused with image pixels using bitwise XOR operation. Also, we create confusion of pixels within these diffused blocks, and confusion of blocks as well using parameters of MRMAC. The randomness in the algorithm is improved using MRMAC is advantage against differential attacks. Further, the Arnold cat map is used to enhance the level of confusion. Since, it is tremendously difficult to factorize the product of large prime numbers, therefore, the security of data in RSA algorithm increases tremendously. For the proper decryption of ciphered images, one must have exact values of keys and their correct order. It is impossible to guess the decrypted image even with a very small change in a single key. The results obtained in statistical and security analysis shows that the proposed algorithm has a huge key space, extreme security and key sensitivity, which proves that scheme is efficient and highly secure. [ABSTRACT FROM AUTHOR]

User-generated passwords often pose a security risk in authentication systems. However, providing a comparative substitute poses a challenge, given the common tradeoff between security and user experience. This paper integrates cryptographic methods (both asymmetric and symmetric), steganography, and a combination of physiological and behavioural biometrics to construct a prototype for a passwordless authentication system. We demonstrate the feasibility of scalable passwordless authentication while maintaining a balance between usability and security. We employ threat modeling techniques to pinpoint the security prerequisites for the system, along with choosing appropriate cryptographic protocols. In addition, a comparative analysis is conducted, examining the security impacts of the proposed system in contrast to that of traditional password-based systems. The results from the prototype indicate that authentication is possible within a timeframe similar to passwords (within 2 s), without imposing additional hardware costs on users to enhance security or compromising usability. Given the scalable nature of the system design and the elimination of shared secrets, the financial and efficiency burdens associated with password resets are alleviated. Furthermore, the risk of breaches is mitigated as there is no longer a need to store passwords and/or their hashes. Differing from prior research, our study presents a pragmatic design and prototype that deserves consideration as a viable alternative for both password-based and passwordless authentication systems. [ABSTRACT FROM AUTHOR]

Elliptic Curve Cryptography (ECC) is a promising cryptosystem as it presents the ideal choice for implementing public-key cryptography in resource-limited devices, such as those found in envisioned Internet of Things applications, e.g. wireless sensors. Elliptic Curve ElGamal (ECEG) is a renowned member of the ECC family. However, it requires encoding the message before encryption and decoding it after decryption. To better improve the processing time and to avoid sharing a lookup table, we propose, in this document, a new method that exchanges encoding parameters and authenticates endpoints at the same time. So, our new protocol ensures the authentication of communication parties and integrity of ephemeral encoding parameters. The robustness of our solution is proven by the Scyther tool. Experimental tests have been carried out, and the performance of the new methods is provided and compared with RSA and related work. Security and performance analysis show that our new scheme has achieved improved functionality and higher security while maintaining low computational. [ABSTRACT FROM AUTHOR]

During recent years, many researchers and professionals have revealed the endangerment of wireless communication technologies and systems from various cyberattacks, these attacks cause detriment and harm not only to private enterprises but to the government organizations as well. The attackers endeavor new techniques to challenge the security frameworks, use powerful tools and tricks to break any sized keys, security of private and sensitive data is in the stale mark. There are many advancements being developed to mitigate these attacks. In this conjunction, this paper gives a complete account of survey and review of the various exiting advanced cyber security standards along with challenges faced by the cyber security domain. The new generation attacks are discussed and documented in detail and the advanced key management schemes are also depicted. The quantum cryptography is discussed with its merits and future scope of the same. Overall, the paper would be a kind of technical report to the new researchers to get acquainted with the recent advancements in Cyber security domain. [ABSTRACT FROM AUTHOR]

Background: X-ray computed tomography (CT) is a powerful tool for measuring plant root growth in soil. However, a rapid scan with larger pots, which is required for throughput-prioritized crop breeding, results in high noise levels, low resolution, and blurred root segments in the CT volumes. Moreover, while plant root segmentation is essential for root quantification, detailed conditional studies on segmenting noisy root segments are scarce. The present study aimed to investigate the effects of scanning time and deep learning-based restoration of image quality on semantic segmentation of blurry rice (Oryza sativa) root segments in CT volumes. Results: VoxResNet, a convolutional neural network-based voxel-wise residual network, was used as the segmentation model. The training efficiency of the model was compared using CT volumes obtained at scan times of 33, 66, 150, 300, and 600 s. The learning efficiencies of the samples were similar, except for scan times of 33 and 66 s. In addition, The noise levels of predicted volumes differd among scanning conditions, indicating that the noise level of a scan time ≥ 150 s does not affect the model training efficiency. Conventional filtering methods, such as median filtering and edge detection, increased the training efficiency by approximately 10% under any conditions. However, the training efficiency of 33 and 66 s-scanned samples remained relatively low. We concluded that scan time must be at least 150 s to not affect segmentation. Finally, we constructed a semantic segmentation model for 150 s-scanned CT volumes, for which the Dice loss reached 0.093. This model could not predict the lateral roots, which were not included in the training data. This limitation will be addressed by preparing appropriate training data. Conclusions: A semantic segmentation model can be constructed even with rapidly scanned CT volumes with high noise levels. Given that scanning times ≥ 150 s did not affect the segmentation results, this technique holds promise for rapid and low-dose scanning. This study offers insights into images other than CT volumes with high noise levels that are challenging to determine when annotating. [ABSTRACT FROM AUTHOR]

Connected cyber and physical elements exchange information through feedback in a cyber-physical system (CPS). Since CPS oversees the infrastructure, it is an integral part of modern living and is viewed as crucial to the development of cutting-edge smart devices. As the number of CPSs rises, so does the need for intrusion detection systems (IDS). The use of metaheuristic methods and Artificial Intelligence for feature selection and classification can offer solutions to some of the problems caused by the curse of dimensionality. In this research, we present a blockchain-based approach to data security in which blocks are generated using the RSA hashing method. Using Differential Evolution (DE), we first select the blockchain-secured data, and then we partition that data into train and testing datasets to use for training and testing our model. It is also permitted for the validated model to use a deep belief network (DBN) to predict attacks. The purpose of the simulation is to evaluate the safety and precision of the classifications. It turns out that the proposed strategy not only improves classification accuracy but also makes the data more resistant to attacks. [ABSTRACT FROM AUTHOR]