Acute rejection that causes liver transplant dysfunction is the most common cause of mortality following liver transplantation. The potential role of Yin Yang 1 (YY1), a widely expressed zinc finger DNA-binding transcription factor, in acute rejection of liver allografts remains unknown. Here, we evaluated the effects and mechanisms of YY1 in an acute rejection using major histocompatibility complex (MHC) class II-mismatched rat liver transplantation model. On days 5 and 10 after liver transplantation, allografts showed elevated expression of YY1 in infiltrating inflammatory cells around the central vein of recipient livers accompanied by elevated levels of serum transaminase and proinflammatory cytokines. In vitro analysis showed that YY1-overexpressing DCs had higher expression of CD80, CD86, and MHC class II compared with the control group. Additionally, YY1-overexpressing DCs triggered naïve CD4+ T cells to produce high levels of intracellular cytokines IL-17 and TNF-γ. These results suggest that YY1 activates DCs and participates in the pathogenesis of acute rejection by polarizing naïve T cells to the inflammatory phenotype, making YY1 a candidate therapeutic target to avoid acute rejection after liver transplantation.

Removal of Large Broad Ligament Fibroid with Fertility Preserved: A Case ReportNawal Shahzad 1, Areeba Daud 1, Shahzadi Kanwal 1, Rabia Ebad 1 and Asma Iqbal 1, 21.Karachi Medical and Dental College,Karachi2.Department of Gynecology and Obstetrics, Unit 3, Abbasi Shaheed Hospital,Karachi

A document by Tahsin Köroğlu. Click on the document to view its contents.

Aims: Our study aimed to assess the risk signals of antibiotic-associated diarrhea (AAD) caused by various antibiotics using real-world data and provide references for safe clinical applications. Methods: We analyzed data extracted from the FDA Adverse Event Reporting System (FAERS) database, covering the period from the first quarter of 2004 to the third quarter of 2022. We computed the odds ratio (ROR) for each antibiotic or antibiotic class to compare the signal difference. Furthermore, we also examined the differences in the onset times and outcomes of AAD caused by various antibiotics. Results: A total of 5,397 reports met the inclusion requirements. Almost all antibiotics, except tobramycin and minocycline (ROR 0.98 and 0.42, respectively), showed a significant correlation with AAD. The analysis of the correlation between different classes of antibiotics and AAD revealed that lincomycins (ROR 29.19), third-generation cephalosporins (ROR 15.96), and first/second generation cephalosporins (ROR 15.29) ranked the top three. The ROR values for antibiotics from the same class of antibiotics also varied greatly, with the ROR values for third-generation cephalosporins ranging from 9.97 to 58.59. There were also differences in ROR values between β-lactamase inhibitors and their corresponding β-lactamase drugs, such as amoxicillin-clavulanate (ROR = 13.31) and amoxicillin (ROR = 6.50). 91.35% antibiotics have an onset time of less than four weeks. Conclusions: There is a significant correlation between almost all antibiotics and AAD, particularly lincomycins and β-lactam antibiotics, as well as a different correlation within the same class. These findings offer valuable evidence for selecting antibiotics appropriately.

Abstract Provide a summary of objectives, study design, setting, participants, sample size, predictors, outcome, statistical analysis, results, and conclusions. Introduction Explain the medical context (including whether diagnostic or prognostic) and rationale for developing or validating the multivariable prediction model, including references to existing models. Specify the objectives, including whether the study describes the development or validation of the model or both. Methods Source of data Describe the study design or source of data (e.g., randomized trial, cohort, or registry data), separately for the development and validation data sets, if applicable. Specify the key study dates, including start of accrual; end of accrual; and, if applicable, end of follow-up. Participants Specify key elements of the study setting (e.g., primary care, secondary care, general population) including number and location of centres. Describe eligibility criteria for participants. Give details of treatments received, if relevant. Outcome Clearly define the outcome that is predicted by the prediction model, including how and when assessed. Report any actions to blind assessment of the outcome to be predicted. Predictors Clearly define all predictors used in developing or validating the multivariable prediction model, including how and when they were measured. Report any actions to blind assessment of predictors for the outcome and other predictors. Sample size Explain how the study size was arrived at. Missing data Describe how missing data were handled (e.g., complete-case analysis, single imputation, multiple imputation) with details of any imputation method. Statistical analysis methods Specify type of model, all model-building procedures (including any predictor selection), and method for internal validation For validation, describe how the predictions were calculated

Well known adverse effects of cryoablation are phrenic nerve and esophageal injury. (1, 2) However, there is very little literature about coronary artery spasm (CAS), a life-threatening complication of cryoablation. We report a case of a 68-year-old Caucasian female, who developed left main coronary spasm (CAS) with significant hemodynamic compromise during cryoablation. Although rare, this complication can be life threatening. Prompt recognition and appropriate intervention is critical for good patient outcome.

Mammalian apurinic/apyrimidinic endonuclease 1 (APE1, APEX1) is a multifunctional enzyme that maintains cell homeostasis. It is involved in the base excision repair (BER) pathway and plays a key role in radiation-induced DNA damage response. Nevertheless, the relationship between APE1-driven radiation resistance and pyroptosis in lung adenocarcinoma (LUAD) cells and the underlying molecular mechanisms remain unclear. We found that APE1 was significantly upregulated in LUAD tissues compared to the para-carcinoma tissues and it promoted the proliferation and invasion of the LUAD cells in vitro and in vivo. Mechanistically, APE1 inhibited pyroptosis by inactivating the interferon gene stimulator (STING) pathway via direct interaction with AIM2 and DDX41 detected by RNA-seq and co-Immunoprecipitation. Taken together, APE1 protects LUAD cells against radiation-induced damage and induces radio-resistance by targeting the STING pathway. could induce pyroptosis and negatively regulate by interaction with AIM2 and DDX41. APE1 inhibitors should be considered for enhancing the radiosensitivity of LUAD cells and improving patient prognosis and therapeutic outcomes. Thus, APE1 may play a role in affecting tumor immune microenvironment and tumor immunotherapy.

A novel, hybrid pore-scale simulation method using Lattice-Boltzmann (LB) coupled with Langevin-Dynamics (LD) is proposed to investigate the physics of nanoparticles onto oil/water interface. By the means of the new LB-LD coupling model, the adsorption and diffusion characterization of nanoparticles onto oil/water interface are investigated. Moreover, by introducing interference coefficient and non-equilibrium time, a modified Langmuir adsorption equation is first established by more accurately quantifying the adsorption characterization of nanoparticles and the consequent impacts onto oil/water interfacial tension, of which the classical Langmuir adsorption equation cannot take account. For a target representative example of SiO2 nanoparticles, it is observed that small-size nanofluids with high concentration could accelerate the adsorption of nanoparticles and therefore help decrease oil/water interface tension. In addition, both the lateral and longitudinal diffusion coefficients of nanoparticles into the water phase and onto oil/water interface are obtained, and of which the underlying mechanisms are explained in details.

Watershed water ecology compensation, as a key technology to control and restore the ecology of damaged watersheds, is widely used in many fields such as water environmental protection, water environment development, and watershed management. This paper optimizes the opportunity cost method and water resources value method models based on occupancy theory, regional economic level and allocation scheme, and analyzes the results of the two models and the optimized scheme. The results show that: (1) the opportunity cost method is more than 9 times larger than the standard calculated by the water resource value method; (2) the optimized model makes the distribution of payment and compensation cities more reasonable. The optimized accounting of ecological compensation standards improves the accuracy of the two models and provides a reference for the construction of ecological compensation standards system in the watershed in the future.

The rise of deepfakes and AI-generated images has raised concerns regarding their potential misuse in society. However, this commentary highlights the valuable opportunities these technologies offer for neuroscience research. Deepfakes provide accessible, realistic, and customisable dynamic face stimuli, while generative adversarial networks (GANs) can generate and modify diverse and high-quality static content. These advancements enhance the variability and ecological validity of research methods, and enable the creation of previously unattainable stimuli. When AI-generated images are informed by brain responses, they provide unique insights into the structure and function of visual systems. The authors encourage experimental psychologists and cognitive neuroscientists to stay informed about these emerging tools and embrace their potential to advance visual neuroscience.

The state of needing can be related to physiological and social stimuli. We investigated the overlap between brain areas related to perception of physiologically and socially needed stimuli and explored if this common pattern of brain activity might be related to regulation of serotonin levels. First, we conducted separate ALE meta-analyses on published results pertaining to brain activation patterns when participants perceived food while hungry or water while thirsty, and social interactions while being excluded. This allowed us to identify common consistent brain activation patterns for physiological and social needed stimuli. We found that regions within the mid-posterior insula, the anterior cingulate cortex and the caudate are at the intersection of physiological (hunger and thirst) and social (exclusion) aspects of ‘needing’. We also looked for significant spatial association between this common network and serotonin receptor distribution. and found that the highest positive spatial correlation among serotonin receptors was with the 5HT4 receptor. Our study suggests there is a common brain pattern during the processing of physiologically and socially needed stimuli. We discuss the spatial association between this pattern and serotonin receptors.

Objective: To determine whether captopril could prevent spinal cord damage after induction of ischemia-reperfusion injury in rats. Materials and Methods: We randomly divided 24 adult male Wistar rats, weighing 230 - 350 g, into 4 groups (n= 6 in each group): Spinal cord ischemia-reperfusion with captopril, spinal cord ischemia-reperfusion, sham operated with captopril, and SHAM. 24 and 1.5 hours before ischemia induction, captopril was administered intragastrically (100 mg/kg) to the SHAM+Cap and the SCI-R+Cap groups. Abdominal aortic clamping was performed in the SCI-R and SCI-R+Cap groups for 40 minutes. Hindlimb motor function was evaluated using the Tarlov Scale at 4, 6, 12, 24, 48, and 60 hours after SCI. Biomarkers of oxidative stress were measured to evaluate biological responses to therapeutic interventions (MDA, FRAP and PAB assays). Results: Throughout the study period, the SCI-R group had significantly lower motor function scores than the other groups (P < 0.05). The MDA and PAB levels were higher in the SCI-R group than in the SHAM group (P < 0.05). The FRAP value was lower in the SCI-R group than that in the SHAM group (P < 0.05). The SCI-R+Cap had higher motor function scores than the SCI-R group at all time points (P < 0.05). There were no notable differences in MDA concentration, FRAP and PAB values between the SCI-R+Cap and the SCI-R groups (P > 0.05). Conclusion: Captopril may act as a protective agent against spinal cord ischemia-reperfusion injury in rats based on hind limb motor function assessment.

INTRODUCTIONSchizencephaly is an uncommon anomaly of the brain characterized by abnormal gray matter lined clefts extending from the ependymal surface of the ventricle to the subarachnoid space. There are two distinct subtypes. Cleft with fused lips is a type 1 or closed type whereas unopposed lips allowing communication of the cleft to the ipsilateral ventricle is an open type.[1] Although the exact cause of this disorder is uncertain, diverse theories have been put forward to establish a definite underlying etiology. A defect in neuronal migration[2] or some form of molecular genetic abnormalities such as mutation in EMX2 [1], SHH and SIX 3 gene [3] , intrauterine infections[4] are few of the probable causes advocated in literature. MRI is the best suited imaging modality for diagnostic evaluations owing to its superiority in gray and white matter distinction, and hence distinguishing the entity from porencephaly or any other post infectious, postoperative or post necrotic lesions.[2][5]

Soil erosion is part of significant factors that trigger or sustain land degradation, limiting agricultural productivity in the Eastern DR Congo. For years, research and development institutions disseminated a range of soil conservation practices (SCPs) meant to reduce erosion’s fallout in the region. Since the said SCPs recorded a low rate of adoption, this study was carried out, with the purpose of assessing factors influencing farmers’ adoption, regarding some of the involved SCPs. A random sample – made up of 500 households – was selected across the target territories in the South-Kivu Province, more specifically in Kabare, Walungu, and Mwenga. Empirical evidence shows that access to information-related factors (such as extension services and group membership), institutional factors (access to loans), and behavioral factors (farmers’ perception about soil erosion) were identified as primary drivers behind SCPs adoption. It appears that adoption of SCPs is constrained by the lack of given conducive means/settings (i.e. land tenure security, adequate cash, farming tools, and training). The surveys also asserted that farmers’ motivation for adoption increases in line with their level of awareness of soil erosion issues. These findings point to the need to put up locality management committee(s), as collective spaces for availing a conducive environment, based on the identified adoption’s drivers, to overcome the identified constraints, and increase/further awareness of soil erosion implications.

By-product mutualisms are ubiquitous yet seldom considered in models of mutualism. Most models represent conditional mutualisms that shift between mutualism and antagonism in response to shifts in costs and benefits resulting from changes in environmental quality. However, in by-product mutualisms, benefits arise as a part of normal life processes and do not incur additional costs and do not have antagonistic alternate states. Recognizing that mutualisms are diverse, new, or more flexible, models are needed. We present a conceptual model that differs from traditional models in three ways: (1) partners exchange by-product benefits, (2) interactions do not have alternate antagonistic states, and (3) tradeoffs are allowed among factors that influence environmental quality. We applied this model to bark and ambrosia beetles that associate with fungi and that have developed two distinct pathways to by-product mutualism. We used independent axes for each major factor influencing environmental quality including those that exhibit tradeoffs. For these beetles, tradeoffs in nutrition and defense were key to which mutualism pathway was taken and the degree of fidelity that occurred among partners. This approach can be used to test hypotheses on the relative importance of the drivers underlying the development of by-product, or other, mutualisms.

A document by Tatsuya Horibe. Click on the document to view its contents.

Anthropogenic impacts and global changes have profound implications for natural ecosystems and may lead to their modification, degradation or collapse. Increases in the intensity of single stressors may lead to ecological thresholds, which can create abrupt shifts in biotic responses. The effects of multiple interacting stressors may create synergistic or antagonistic interactions, leading to non-linear responses. Here we combine both concepts -- ecological thresholds and interactions between multiple stressors -- to understand the effects of multiple interacting stressors along environmental gradients, and how this can affect the occurrence of thresholds. Using an experimental approach to investigate the effect of nutrient enrichment and saltwater intrusion on mortality in the zebra mussel, Dreissena polymorpha, we show that multiple stressors can create thresholds at lower levels of an environmental gradient. Our results reveal that by treating the concepts of ecological thresholds and multiple stressors individually we risk underestimating widespread anthropogenic impacts. Our results reveal a major shortcoming in how we currently investigate these two ecological concepts, as considering them separately may be causing underestimation of thresholds and stressor-interaction impacts.

Heterotaxy pattern associated with Sinus Node Dysfunction in an adult: A case report.Authors : Naman Shah MBBS1, Sankalp Acharya2, Apoorva Tripathi MBBS2, Himanshi Bisht MBBS2,Maitri Shah MBBS1, Aayushi Pareek MBBS3, Asmit Gera MBBS4, Abhigan Babu Shrestha, MBBS5, Vikash Jaiswal MD61. GMERS Medical college Sola, Ahmedabad, India2. B. J. Medical College, Ahmedabad, India3. RHUS College of Medical Science, Jaipur, Rajasthan4. JCCR Cardiology Research, Varanasi, India5. M Abdur Rahim Medical College, Dinajpur, Bangladesh6. AMA School of Medicine, Makati, Philippines

The proposed paper focuses on the method of estimating the reliability index β (as a safety measure) of the spatial steel truss under fire conditions. The whole procedure connected with computation of temperatures of elements, effects of actions and bearing capacities is realised in author-designed C++ code, prepared according to Eurocode. The probabilistic model includes mechanical properties of steel (yield strength), geometrical characteristics of bar cross-sections and effect of actions. In the next step, the stiffness matrix spectral analysis is realized. The code prepared by the author is being developed to be useful for spatial structures. The program realization leads to finding so called cut-sets, i.e. possible ways of transforming the structure into mechanism. These sets of elements create a logical model, which will be introduced to the SYSREL module, which is part of STRUREL program. This is the software that was created in Munich University of Technology to solve reliability problems. SYSREL module is dedicated to conduct system reliability analysis connected with different reliability methods including, among others, the FORM,SORM, Monte Carlo and Subset Simulation method.

A document by Jingchao Sun. Click on the document to view its contents.

Dispersal ability is a key determinant of the realized species niche. Yet, whether dispersal ability influences environmental specialization and exerts a direct, indirect, or null effect on species' tolerances is still unclear. Here, we ask whether and how dispersal ability can shape both the realized and fundamental niches. Focusing on plants, invertebrates, and vertebrates of the topographically complex Atlantic Rainforest, a top global biodiversity hotspot, we further evaluate how dispersal ability correlates with species range shifts in response to climate change. We find that high-dispersal species have broader thermal tolerances relative to low-dispersal taxa. When projected in geographic space, the data predict widespread upslope range shifts of the Atlantic Rainforest biodiversity with the intensity and direction depending on the species-specific trends depending on dispersal ability. These upslope movements, in turn, may negatively impact the native communities intrinsically associated with the Atlantic Forest mountaintops. Under the warmest climate scenario predicted for the end of the 21st century, the models project that those species with the lowest dispersal ability, particularly low-dispersible ectotherms, will be the most impacted by local extinctions. In turn, the wider thermal tolerance of high-dispersible species will reduce shifts in their geographical range due to climate change. Given the rapid rate of habitat conversion experienced by this and other landscapes worldwide, we argue that the smaller endurance of low-dispersible species to environmental changes deserves special attention, as dispersal ability appears relevant for biodiversity management in a warmer world, especially in threatened species-rich regions such as this.

The study’s foundation is a scenario analysis of a textile mill’s weaving department, with the goal of determining the necessity of a reliable and comprehensive plan for scheduling maintenance time. According to the background information and problem statement, incidents of Run failure maintenance and lengthy downtime (up to 60 days) undermine the machines’ availability (Schmidt, Galar & Wang, 2016).The desired efficiency and production are 90% and 194.76 m, respectively, however, the preliminary result indicate less. This indicates a gap that must be closed by implementing regular and appropriate maintenance plans. Additionally, the the incoherent and inconsistencies points at a lack of an efficient maintenance plan. It was established that the current strategy is not optimized and does not ensure machine availability because there are disparities and irregularities in the maintenance of crucial equipment. The objective of the study was to map out the critical equipment and collect data on the number and time between failures encountered in the weaving section of the textile manufacturing processes. Failure mode and effect analysis and fish-bone diagram were used in the analysis of the data. Mapping results indicates downtime up to 60 days, the productivity was estimated at 194.76 meters, and efficiency was 90%. The results showed that weaving looms were the essential piece of machinery.

This letter proposes a cross-domain WiFi-based gesture recognition system (WiCross) based on a dynamically weighted multi-label generative adversarial network. Most existing WiFi-based gesture recognition systems are user, orientation, and environment sensitive, which limits the application of WiFi sensing. Compared with the influence of users and environments on WiFi sensing systems, the influence of orientation on WiFi sensing systems is more difficult to remove. To alleviate the confusion caused by the orientation more effectively, we arrange the transmitting and receiving antennas according to the characteristics of the Fresnel region. We propose to dynamically weight different links according to users’ orientations and use a multi-label generative adversarial network to obtain domain-independent features. More importantly, WiCross can use domain-independent features to classify some unknown gestures without modifying any code or data set. Lightweight computing resource consumption allows WiCross to respond in real-time. The experimental results show that WiCross can achieve an in-domain recognition accuracy of 93.54% and a cross-domain recognition accuracy of 93.11%

Understanding the relationship between stomatal conductance (g s) and photosynthesis (A n) under water stress conditions can improve the accuracy of land surface models for estimating the gas exchange of crop canopies with the atmosphere. However, little is known about the effect of water stress on this relationship in crops. A glasshouse experiment was, therefore, conducted to investigate changes in the relationship between g s and A n owing to water stress in rice and the association with soil moisture content. Severe (SWS), mild (MWS), and no water stress (NWS) conditions were applied from flowering onwards and the gas exchange in fully developed flag leaves was assessed weekly. The Ball-Woodrow-Berry linear model was used to assess the relationship between g s and A n under different treatments. SWS had a significant effect and reduced the slope ( a) of the relationship between g s and A n by 30% compared with NWS. Only in SWS were A n and g s strongly correlated with soil water content. Our study revealed that changes in the relationship through a reduction in a imply a conservative water-use strategy for rice under intense water stress. We propose that land surface models should consider water stress conditions when estimating CO 2 and H 2O fluxes from crop canopies.