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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]

Speech comprehension is remarkable for the immediacy with which the listener hears what is being said. Here, we focus on the neural underpinnings of this process in isolated spoken words. We analysed source-localised MEG data for nouns using Representational Similarity Analysis to probe the spatiotemporal coordinates of phonology, lexical form, and the semantics of emerging word candidates. Phonological model fit was detectable within 40–50 ms, engaging a bilateral network including superior and middle temporal cortex and extending into anterior temporal and inferior parietal regions. Lexical form emerged within 60–70 ms, and model fit to semantics from 100-110 ms. Strikingly, the majority of vertices in a central core showed model fit to all three dimensions, consistent with a distributed neural substrate for early speech analysis. The early interpretation of speech seems to be conducted in a unified integrative representational space, in conflict with conventional views of a linguistically stratified representational hierarchy. [ABSTRACT FROM AUTHOR]

Objective: More and more studies have found that polycystic ovary syndrome (PCOS) is significantly associated with recurrent spontaneous abortion (RSA), but the specific mechanism is not yet clear. Methods: Based on the GEO database, we downloaded the PCOS (GSE10946, GSE6798 and GSE137684) and RSA (GSE165004, GSE26787 and GSE22490) datasets and performed differential analysis, weighted gene co-expression network (WGCNA), functional enrichment, and machine learning, respectively, on the datasets of the two diseases, Nomogram and integrated bioinformatics analysis such as immune infiltration analysis. Finally, the reliability of the diagnostic gene was verified by external verification and collection of human specimens. Results: In this study, PCOS and RSA datasets were obtained from Gene Expression Omnibus (GEO) database, and a total of 23 shared genes were obtained by differential analysis and WGCNA analysis. GO results showed that the shared genes were mainly enriched in the functions of lipid catabolism and cell cycle transition (G1/S). DO enrichment revealed that shared genes are mainly involved in ovarian diseases, lipid metabolism disorders and psychological disorders. KEGG analysis showed significant enrichment of Regulation of lipolysis in adipocytes, Prolactin signaling pathway, FoxO signaling pathway, Hippo signaling pathway and other pathways. A diagnostic gene FAM166 B was obtained by machine learning and Nomogram screening, which mainly played an important role in Cellular component. GSEA analysis revealed that FAM166B may be involved in the development of PCOS and RSA by regulating the cell cycle, amino acid metabolism, lipid metabolism, and carbohydrate metabolism. CIBERSORT analysis showed that the high expression of FAM166 B was closely related to the imbalance of multiple immune cells. Further verification by qPCR suggested that FAM166 B could be used as a common marker of PCOS and RSA. Conclusions: In summary, this study identified FAM166B as a common biomarker for PCOS and RSA, and conducted in-depth research and analysis of this gene, providing new data for basic experimental research and early prognosis, diagnosis and treatment of clinical diseases. [ABSTRACT FROM AUTHOR]

Children with elevated behavioural inhibition (BI) show context‐inappropriate fear and dysregulated RSA across stressor tasks. However, few studies have examined dynamic RSA within tasks and relations to parent and child anxiety. Using piecewise growth modelling and multimethod baseline data from an intervention study of 151 3.5–5‐year‐old children and their parents, we examined relations between child social anxiety (SA), parent anxiety and their interaction in predicting children's RSA across social stressor tasks (e.g. learning about unfamiliar peers, Trier Social Stress). Within the sample, 49.63% of children were reported to be White, non‐Hispanic/Latine (n = 67), 22% multiracial (n = 31), 14.81% Asian/Pacific Islander (n = 20) and 12.59% Black/African‐American (n = 17). Furthermore, 64.44% of the parents were reported to be White, non‐Hispanic/Latine (n = 87), 20% Asian/Pacific Islander (n = 27), 13.33% Black/African‐American (n = 18) and 2.22% multiracial (n = 3). Children showed differentiated RSA reactivity and recovery within an anticipatory social learning task based on their level of clinically appraised SA. Relations between child SA and RSA across tasks was moderated by parent anxiety, specifically for dyads matched in anxiety. Findings provide support for the potential influence of both child and parent anxiety on children's parasympathetic nervous system (PNS) responses across specific self‐regulatory tasks. [ABSTRACT FROM AUTHOR]

Neuronal populations code similar concepts by similar activity patterns across the human brain's semantic networks. However, it is unclear to what extent such meaning-to-symbol mapping reflects distributional statistics, or experiential information grounded in sensorimotor and emotional knowledge. We asked whether integrating distributional and experiential data better distinguished conceptual categories than each method taken separately. We examined the similarity structure of fMRI patterns elicited by visually presented action- and object-related words using representational similarity analysis (RSA). We found that the distributional and experiential/integrative models respectively mapped the high-dimensional semantic space in left inferior frontal, anterior temporal, and in left precentral, posterior inferior/middle temporal cortex. Furthermore, results from model comparisons uncovered category-specific similarity patterns, as both distributional and experiential models matched the similarity patterns for action concepts in left fronto-temporal cortex, whilst the experiential/integrative (but not distributional) models matched the similarity patterns for object concepts in left fusiform and angular gyrus. [ABSTRACT FROM AUTHOR]

Objects that are congruent with a scene are recognised more efficiently than objects that are incongruent. Further, semantic integration of incongruent objects elicits a stronger N300/N400 EEG component. Yet, the time course and mechanisms of how contextual information supports access to semantic object information is unclear. We used computational modelling and EEG to test how context influences semantic object processing. Using representational similarity analysis, we established that EEG patterns dissociated between objects in congruent or incongruent scenes from around 300 ms. By modelling the semantic processing of objects using independently normed properties, we confirm that the onset of semantic processing of both congruent and incongruent objects is similar (∼150 ms). Critically, after ∼275 ms, we discover a difference in the duration of semantic integration, lasting longer for incongruent compared to congruent objects. These results constrain our understanding of how contextual information supports access to semantic object information. [ABSTRACT FROM AUTHOR]

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]

Due to the genetic diversity between the mother and the fetus, heightened control over the immune system during pregnancy is crucial. Immunological parameters determined by clinicians in women with idiopathic recurrent spontaneous abortion (RSA) include the quantity and activity of Natural Killer (NK) and Natural Killer T (NKT) cells, the quantity of regulatory T lymphocytes, and the ratio of pro-inflammatory cytokines, which indicate imbalances in Th1 and Th2 cell response. The processes are controlled by immune checkpoint proteins (ICPs) expressed on the surface of immune cells. We aim to investigate differences in the expression of ICPs on T cells, T regulatory lymphocytes, NK cells, and NKT cells in peripheral blood samples collected from RSA women, pregnant women, and healthy multiparous women. We aim to discover new insights into the role of ICPs involved in recurrent pregnancy loss. Peripheral blood mononuclear cells (PBMCs) were isolated by gradient centrifugation from blood samples obtained from 10 multiparous women, 20 pregnant women (11–14th week of pregnancy), and 20 RSA women, at maximum of 72 h after miscarriage. The PBMCs were stained for flow cytometry analysis. Standard flow cytometry immunophenotyping of PBMCs was performed using antibodies against classical lymphocyte markers, including CD3, CD4, CD8, CD56, CD25, and CD127. Additionally, ICPs were investigated using antibodies against Programmed Death Protein-1 (PD-1, CD279), T cell immunoglobulin and mucin domain-containing protein 3 (TIM-3, CD366), V-domain Ig suppressor of T cell activation (VISTA), T cell immunoglobulin and ITIM domain (TIGIT), and Lymphocyte activation gene 3 (LAG-3). We observed differences in the surface expression of ICPs in the analyzed subpopulations of lymphocytes between early pregnancy and RSA, after miscarriage, and in women. We noted diminished expression of PD-1 on T lymphocytes (p = 0.0046), T helper cells (CD3CD4 positive cells, p = 0.0165), T cytotoxic cells (CD3CD8 positive cells, p = 0.0046), T regulatory lymphocytes (CD3CD4CD25CD127 low positive cells, p = 0.0106), and NKT cells (CD3CD56/CD16 positive cells, p = 0.0438), as well as LAG-3 on lymphocytes T (p = 0.0225) T helper, p = 0.0426), T cytotoxic cells (p = 0.0458) and Treg (p = 0.0293), and cells from RSA women. Impaired expression of TIM-3 (p = 0.0226) and VISTA (p = 0.0039) on CD8 cytotoxic T and NK (TIM3 p = 0.0482; VISTA p = 0.0118) cells was shown, with an accompanying increased expression of TIGIT (p = 0.0211) on NKT cells. The changes in the expression of surface immune checkpoints indicate their involvement in the regulation of pregnancy. The data might be utilized to develop specific therapies for RSA women based on the modulation of ICP expression. [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]

Aims: Optimal glenoid positioning in reverse shoulder arthroplasty (RSA) is crucial to provide impingement-free range of motion (ROM). Lateralization and inclination correction are not yet systematically used. Using planning software, we simulated the most used glenoid implant positions. The primary goal was to determine the configuration that delivers the best theoretical impingement-free ROM. Methods: With the use of a 3D planning software (Blueprint) for RSA, 41 shoulders in 41 consecutive patients (17 males and 24 females; means age 73 years (SD 7)) undergoing RSA were planned. For the same anteroposterior positioning and retroversion of the glenoid implant, four different glenoid baseplate configurations were used on each shoulder to compare ROM: 1) no correction of the RSA angle and no lateralization (C-L-); 2) correction of the RSA angle with medialization by inferior reaming (C+M+); 3) correction of the RSA angle without lateralization by superior compensation (C+L-); and 4) correction of the RSA angle and additional lateralization (C+L+). The same humeral inlay implant and positioning were used on the humeral side for the four different glenoid configurations with a 3 mm symmetric 135° inclined polyethylene liner. Results: The configuration with lateralization and correction of the RSA angle (C+L+) led to better ROM in flexion, extension, adduction, and external rotation (p ≤ 0.001). Only internal rotation was not significantly different between groups (p = 0.388). The configuration where correction of the inclination was done by medialization (C+M+) led to the worst ROM in adduction, extension, abduction, flexion, and external rotation of the shoulder. Conclusion: Our software study shows that, when using a 135° inlay reversed humeral implant, correcting glenoid inclination (RSA angle 0°) and lateralizing the glenoid component by using an angled bony or metallic augment of 8 to 10 mm provides optimal impingement-free ROM. Cite this article: Bone Jt Open 2024;5(10):851–857.

The Rivest-Shamir-Adleman (RSA) algorithm is a widely utilized technique in asymmetric cryptography, primarily for verifying digital signatures and encrypting messages. Its security relies on the integer factorization problem's difficulty, which is computationally infeasible with large security parameters. However, this study revealed scenarios where an attacker can concurrently factorize multiple RSA moduli $ N_i = p_i q_i $ under specific conditions. The attack is feasible when the attacker possesses a set of RSA key pairs with certain flaws, allowing each $ N_i $ to be factored in polynomial time. We identified vulnerabilities in RSA keys that satisfy particular equations by applying Diophantine approximation and Coppersmith's lattice-based technique. For instance, the study demonstrates that if RSA public exponents $ e_i $ and moduli $ N_i $ adhere to $ e_i r - (N_i - p_i - q_i + u_i) s_i = t_i $, where $ r, s_i, u_i $, and $ t_i $ are small integers, then all $ N_i $ can be factorized simultaneously. Additionally, another vulnerability arises when RSA parameters satisfy $ e_i r_i - s(N_i - p_i - q_i + u_i) = t_i $, enabling concurrent factorization with small integers $ s, r_i, u_i $, and $ t_i $. This research expands the understanding of RSA security by identifying specific conditions under which RSA public-key pairs can be compromised. These findings are relevant to the broader field of cryptography and the ongoing efforts to secure communication systems against sophisticated adversaries.

Let N=pqN=pq be the product of two balanced prime numbers pp and qq. In Elkamchouchi et al. (Extended RSA cryptosystem and digital signature schemes in the domain of Gaussian integers. In: ICCS 2002. vol. 1. IEEE Computer Society; 2002. p. 91–5.) introduced an Rivest-Shamir-Adleman (RSA)-like cryptosystem that uses the key equation ed−k(p2−1)(q2−1)=1ed-k\left({p}^{2}-1)\left({q}^{2}-1)=1, instead of the classical RSA key equation ed−k(p−1)(q−1)=1ed-k\left(p-1)\left(q-1)=1. Another variant of RSA, presented in Murru and Saettone (A novel RSA-like cryptosystem based on a generalization of the Rédei rational functions. In: NuTMiC 2017. vol. 10737 of Lecture Notes in Computer Science. Springer; 2017. p. 91–103), uses the key equation ed−k(p2+p+1)(q2+q+1)=1ed-k\left({p}^{2}+p+1)\left({q}^{2}+q+1)=1. Despite the authors’ claims of enhanced security, both schemes remain vulnerable to adaptations of common RSA attacks. Let nn be an integer. This article proposes two families of RSA-like encryption schemes: one employs the key equation ed−k(pn−1)(qn−1)=1ed-k\left({p}^{n}-1)\left({q}^{n}-1)=1 for n>0n\gt 0, while the other uses ed−k[(pn−1)(qn−1)]⁄[(p−1)(q−1)]=1ed-k\left[\left({p}^{n}-1)\left({q}^{n}-1)]/\left[\left(p-1)\left(q-1)]=1 for n>1n\gt 1. Note that we remove the conventional assumption of primes having equal bit sizes. In this scenario, we show that regardless of the choice of nn, continued fraction-based attacks can still recover the secret exponent. Additionally, this work fills a gap in the literature by establishing an equivalent of Wiener’s attack when the primes do not have the same bit size.

IoT devices are crucial in this modern world in many ways, as they provide support for environmental sensing, automation, and responsible resource conservation. The immense presence of IoT devices in everyday life is inevitable in the smart world. The predominant usage of IoT devices lurks the prying eyes of intentional hackers. Though there are several precautionary security systems and protocols available for generic wireless networks, it is observed that there is a need to formulate a state-of-the-art security mechanism exclusively for IoT network environments. This work is submitted here for the betterment of IoT network security. Three dedicated contributions are integrated in this work to achieve higher security scores in IoT network environments. Fast Fuzzy Anomaly Detector, Legacy Naïve Bayes Attack Classifiers, and Variable Security Schemer of Rivest-Shamir-Adleman algorithm are the novel modules introduced in this work abbreviated as ASORI. Captivating the advantages of the onboard IoT certification mechanism and selecting a dynamic security strategy are the novelties introduced in this work. ASORI model is tested with industrial standard network simulator OPNET to ensure the improved security along with vital network performance parameter betterments.

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.

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.

Systems for data storage and communication must be secure, and encryption algorithms are essential to this. In this work, the Rivest-Shamir-Adleman (RSA) algorithm and the Advanced Encryption Standard (AES) method are compared. We present a comprehensive comparison of AES and RSA encryption algorithms based on their mathematical principles, security features, performance characteristics, and practical considerations. We also discuss their strengths and limitations in various scenarios, offering insightful information to information security practitioners and decision-makers. By analyzing and contrasting the key aspects of AES and RSA, we aim to contribute to the understanding of these widely used encryption algorithms and assist in selecting the appropriate algorithm for specific security requirements. We discuss the mathematical and arithmetic comparison between these two algorithms, and evaluate their performance in terms of security, speed, and implementation complexity. Our analysis shows that while AES provides better performance for symmetric key encryption, RSA offers a secure mechanism for asymmetric key encryption. We also stress how crucial it is to choose the right encryption algorithm depending on the particular needs of the application. [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]

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 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]

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]

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]

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]

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 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]

Understanding the correct intention of a speaker is critical for social interaction. Speech prosody is an important source for understanding speakers' intentions during verbal communication. However, the neural dynamics by which the human brain translates the prosodic cues into a mental representation of communicative intentions in real time remains unclear. Here, we recorded EEG (electroencephalograph) while participants listened to dialogues. The prosodic features of the critical words at the end of sentences were manipulated to signal either suggestion, warning, or neutral intentions. The results showed that suggestion and warning intentions evoked enhanced late positive event-related potentials (ERPs) compared to the neutral condition. Linear mixed-effects model (LMEM) regression and representational similarity analysis (RSA) analyses revealed that these ERP effects were distinctively correlated with prosodic acoustic analysis, emotional valence evaluation, and intention interpretation in different time windows; The onset latency significantly increased as the processing level of abstractness and communicative intentionality increased. Neural representations of intention and emotional information emerged and parallelly persisted over a long time window, guiding the correct identification of communicative intention. These results provide new insights into understanding the structural components of intention processing and their temporal neural dynamics underlying communicative intention comprehension from speech prosody in online social interactions.

Background: The field of gynaecological immunology has increasingly focused on recurrent spontaneous abortion (RSA). The complex mechanisms underlying the interaction between RSA and cancer are not well understood. Methods: Weighted gene coexpression network analysis (WGCNA), single-cell RNA sequencing (scRNA-seq), and machine learning algorithms were used for the analysis of RSA decidua samples to identify the hub genes. The expression and distribution of the hub genes were subsequently investigated via the pancancer database TCGA. A prognostic prediction was made to assess the impact of the hub genes on the cancer response, mutation burden, immune microenvironment, immune checkpoint, and chemotherapy. In vitro assays were performed to determine whether SLC8A1 influences HTR-8/SVneo cell proliferation, apoptosis and the concentration of calcium ions. Results: SLC8A1 was identified as a hub gene within RSA and was highly expressed in uterine corpus endometrial carcinoma (UCEC). The efficacy of SLC8A1 as a predictive marker was substantiated by calibration curves and the concordance index. The mutation rate of SLC8A1 was found to be 6 % on the basis of the waterfall plot. Immune analysis revealed notable differences in the fractions of T cells and macrophages between the high- and low-expression groups. Patients classified in the low-risk group exhibited enhanced responsiveness to osimertinib, dasatinib, and ibrutinib. The results of in vitro experiments revealed that SLC8A1 promotes proliferation and inhibits the apoptosis and concentration of calcium ions in HTR-8/SVneo cells. Conclusion: These findings suggest that SLC8A1 may serve as a promising prognostic biomarker and potential target for immunotherapy in the context of RSA and UCEC.