Related Anomalies Research Articles

Microtia in Indonesia: Characteristics and Family History Analysis on the Presence of Other Congenital Anomalies in Patients With Microtia.

This study aims to explore the characteristics of microtia in Indonesia and examine whether family traits influence its severity, focusing on other congenital anomalies in patients categorized as either isolated or syndromic microtia. This study is a descriptive-analytical study with a cross-sectional design. Questionnaires were distributed via the WhatsApp group “Indonesian Microtia Family,” established by the Airlangga University Hospital Microtia Team. A total of 354 respondents completed the questionnaire, comprising patients with microtia and their family members and relatives. There is no intervention in this study. The data on the characteristics of patients with microtia are presented in a descriptive form. An analysis was conducted to determine the influence of family characteristics on the presence of other congenital anomalies in patients. Familial microtia, defined as microtia occurring in patients with a family history of microtia or related anomalies such as preauricular tags and preauricular fistulas, significantly influences the presence of additional congenital malformations (syndromic microtia), as indicated by a P value of .018. An odds ratio of 3.191 was obtained, indicating that the risk of isolated microtia occurrence is 3 times higher in familial microtia compared to sporadic microtia. In Indonesia, the majority of patients with microtia are male (78%), unilateral right (55.9%), third-degree Hunter (64.4%), solitary (72%), and sporadic (88.1%). Compared to sporadic microtia, familial microtia will increase the probability of isolated microtia occurrence by 3-fold.

Linkage between Southeast and South Asian summer monsoons: Relative roles of the Pacific-Japan pattern and the El Niño-Southern Oscillation

Abstract The various regional summer monsoons over Asia have been known to be highly interactive, but their interrelationships are still under debate. The current study investigates the linkage between the South Asian summer monsoon (SASM) and the Southeast Asian summer monsoon (SEASM) and the involved physical mechanisms. A robust positive correlation is found between the first Empirical Orthogonal Function (EOF) modes of SASM and SEASM precipitations. However, asymmetric features emerge between the mutually-enhanced (ME) and mutually-weakened (MW) SEASM-SASM cases. Apparent Pacific-Japan (PJ) pattern occurs in the ME SEASM-SASM cases under a relatively weak sea surface temperature (SST) background, causing a southwest-northeast precipitation dipole with a positive center over the northern Bay of Bengal and a negative center over the eastern Arabian Sea and southern India induced by westerly anomalies with anticyclonic curvature associated with the anomalous heating over the tropical western North Pacific and cooling over the Maritime Continent. While in the MW SEASM-SASM cases, the El Niño-Southern Oscillation related SST anomalies (i.e. a transition from the equatorial eastern Pacific warming in winter to cooling in summer) are substantial, which cause simultaneous weakening of the first modes of SEASM and SASM through anomalous western North Pacific anticyclone induced by the Pacific SST anomalies and the capacitor effects of other tropical oceans. In addition, intensified diabatic heating over the Maritime Continent driven by the anomalous zonal circulation related to the eastern Pacific cooling can enhance the precipitation over the eastern Arabian Sea and southern India via the westward-propagating Rossby wave.

Universal Waterfall Feature in Cuprate Superconductors: Evidence of a Momentum-Driven Crossover.

We study two related universal anomalies of the spectral function of cuprates, so-called waterfall and high-energy kink features, by a combined cellular dynamical mean-field theory and angle-resolved photoemission study for the oxychloride Na_{x}Ca_{2-x}CuO_{2}Cl_{2} (Na-CCOC). Tracing their origin back to an interplay of spin-polaron and local-correlation effects both in undoped and hole-doped (Na-)CCOC, we establish them as a universal crossover between regions differing in the momentum dependence of the coupling and not necessarily in the related quasiparticles' energies. The proposed scenario extends to doping levels coinciding with the cuprate's superconducting dome and motivates further investigations of the fate of spin polarons in the superconducting phase.

Modulation of Preceding Tibetan Plateau Tropospheric Thermal Anomaly on Summer Temperature Anomalies in the Yangtze and Huaihe River Valleys

ABSTRACTAnomalous warm surface air temperatures (SATs) appeared in eastern China, especially the middle and lower Yangtze and Huaihe River valleys (MLYHRV), in the summer of 2022. Using the 2022 SAT anomaly as a case, this study analyses the reasons for the variation of summer SATs in the MLYHRV and explores the precursory signals for the summer MLYHRV SAT and related mechanisms. The findings indicate that the preceding May mid‐upper (500–300 hPa) tropospheric temperature (TT) over the Arabian Sea and India and the western Tibetan Plateau (TP) can reflect the persistence of the TT anomaly over the western TP and its eastward extension to the Japan Sea from May to summer, which causes downstream East Asian circulation (i.e., the South Asian high and western Pacific subtropical high) and related SAT anomalies over the MLYHRV during summer (especially July–August). In addition, the May La Niña SST can reflect the summer La Niña SST pattern and therefore affect the summer MLYHRV SAT by modulating the East Asian circulations. Using TT and SST precursory signals, a statistical prediction model was developed to predict the summer MLYHRV SAT. This model based on the TT and SST signals shows better prediction ability than the model based only on the traditional La Niña SST signal. The May ASI‐WTP TT may be regarded as a crucial supplementary precursor for forecasting the summer MLYHRV SAT.

Improved Detection of Great Lakes Water Quality Anomalies Using Remote Sensing

Due to their immense economic and recreational value, the monitoring of Great Lakes water quality is of utmost importance to the region. Historically, this has taken place through a combination of ship-based sampling, buoy measurements, and physical models. However, these approaches have spatial and temporal deficiencies which can be improved upon through satellite remote sensing. This study details a new approach for using long time series of satellite remote sensing data to identify historical and near real-time anomalies across a range of data products. Anomalies are traditionally detected as deviations from historical climatologies, typically assuming that there are no long-term trends in the historical data. However, if present, such trends could result in misclassifying ordinary events as anomalous or missing actual anomalies. The new anomaly detection method explicitly accounts for long-term trends and seasonal variability by first decomposing a 10-plus year data record of satellite remote sensing-derived Great Lakes water quality parameters into seasonal, trend, and remainder components. Anomalies were identified as differences between the observed water quality parameter from the model-derived expected value. Normalizing the anomalies to the mean and standard deviation of the full model remainders, the relative anomaly product can be used to compare deviations across parameters and regions. This approach can also be used to forecast the model into the future, allowing for the identification of anomalies in near real time. Multiple case studies are detailed, including examples of a harmful algal bloom in Lake Erie, a sediment plume in Saginaw Bay (Lake Huron), and a phytoplankton bloom in Lake Superior. This new approach would be best suited for use in a water quality dashboard, allowing users (e.g., water quality managers, the research community, and the public) to observe historical and near real-time anomalies.

A Coupled Quadrupole Mode in the South Pacific

Abstract Although links between the atmospheric convergence zone and the local ocean dipole in the South Atlantic are well established, relationships between the South Pacific convergence zone (SPCZ) and the South Pacific quadrupole (SPQ) remain largely unexplored. Based on maximum covariance analysis applied to a 110-yr monthly coupled atmosphere–ocean reanalysis, we describe a coupled quadrupole mode (CQM) that connects the SPCZ and SPQ during austral summer [December–February (DJF)]. The CQM is linked to the “enhanced SPCZ” mode in the atmosphere and the SPQ in the ocean, with the atmospheric signal leading the ocean signal by about 1 month. This coupled mode essentially represents the atmospheric and oceanic responses to a stationary Rossby wave train that propagates from low- to high latitudes before reflecting back toward lower latitudes around 150°E. Coupled atmosphere–ocean feedbacks help to maintain anomalous convective activity in the SPCZ and related circulation anomalies. The stationary waves that organize the CQM are often rooted in anomalous convection over the Maritime Continent and have close connections with the atmospheric wavenumber-4 mode in the midlatitude Southern Hemisphere. Significance Statement In this study, we investigate the relationships between coherent large-scale patterns in the South Pacific Ocean and the overlying atmosphere. These patterns, which we refer to as a coupled quadrupole for their four centers of action, impact both local communities and the global climate by shaping rainfall and temperature anomalies across the “four corners” of the South Pacific: east–west and north–south. We show that this coupled quadrupole arises as the joint atmospheric and oceanic response to a large-scale wave that arcs across the entire South Pacific basin more than 10 km above the surface and that feedbacks from the ocean to the atmosphere help it to last longer.

Modification of IPI Method for Extraction of Short-Term and Imminent OLR Anomalies and Case Study of Two Large Earthquakes

The Pattern Informatics Method (PI) was initially developed for medium-to-long-term earthquake prediction by analyzing changes in seismic activity. It has since been refined and extended to identify ionospheric anomalies associated with earthquakes. Notable advancements include the development of modified and improved methods, which have demonstrated their capability to detect significant short-term and ionospheric anomalies preceding earthquake events. In this study, the IPI method was applied to infrared satellite observation data for the first time, and a new algorithm for extracting short-term and imminent anomalies from infrared earthquakes was explored based on the IPI method, from which we obtained the MIPI (Modified Improved Pattern Informatics Method). Using 1° × 1° nighttime Outgoing Longwave Radiation (OLR) data from NOAA_18 satellites of the National Oceanic and Atmospheric Administration’s Climate Prediction Center (NOAA-CPC) of the United States, the evolution of OLR anomalies before the Ridgecrest Ms 6.9 earthquake in the United States on 6 July 2019 as recorded by the China Earthquake Networks Center (CENC) and the Maduo Ms 7.4 earthquake in China on 21 May 2021 as recorded by the China Earthquake Networks Center (CENC) were studied. In order to make the IPI method suitable for the calculation of OLR data, two modifications were made to the IPI algorithm: (1) the quartile method was applied for automatically determining the abnormal changes in the OLR observation data and they were used as the input data instead of ionospheric data; (2) the standard deviation of the multi-year OLR residual data of each grid was used instead of the maximum anomaly index used in the original method to re-assign and obtain the relative anomaly index, and finally the anomaly evolution time series diagram was drawn. The results show the following: (1) The MIPI method can effectively extract short-term and imminent OLR anomalies prior to earthquakes. (2) Short-term and imminent OLR anomalies appeared about two weeks before each earthquake and lasted until the earthquake occurrence, disappearing after the earthquake. During this process, the anomalies exhibited a certain evolutionary trend. (3) The short-term and imminent OLR anomalies prior to each earthquake were distributed near the epicenter or near the seismogenic fault, about 200 KM away from the epicenters. The above results are similar to the spatiotemporal evolution characteristics of seismic infrared short-term anomalies previously studied, which indicates that the MIPI method can effectively extract seismic infrared anomalies and might provide a practical method for the extraction of seismic infrared short-term and imminent anomalies.

Modelling and Simulation of Refractive Index-Based FBG Sensor for the Detection of Blood, Adrenal, Cervical, Breast and Skin Cancers

Cancer cell detection is critical to early diagnosis and treatment, aiming to improve patient outcomes through timely interventions. One promising approach involves using Fiber Bragg Grating (FBG) sensors due to their high sensitivity, biocompatibility, and ability to operate in real time. Due to the blood's refractive index, the wavelength shift in an FBG sensor varies, leading to a change in the effective refractive index. This occurs because the interaction between the FBG sensor and the surrounding medium, like blood, alters the light propagation within the fiber. The shift in the reflected wavelength corresponds to changes in the effective refractive index, which can be used to detect cancer- related anomalies in the blood. However, the proposed grating structure provides a wavelength shift between 1.43184 and 1.47500 with an effective refractive Index between 1.360015 and 1.401017. Besides all wavelength shifts and effective refractive Index have been proposed for Blood, cervical, Adrenal, Breast, and Skin cancers. The wavelength vs effective refractive index relationship for various cancerous cells has been established.

Bottom–up propagation of synoptic wind intensification and relaxation in the planktonic ecosystem of the South Senegalese Upwelling Sector

ABSTRACT Synoptic intensification or relaxation of upwelling favorable winds are major sources of variability in eastern boundary upwelling systems. This study aims to investigate their impact on the planktonic ecosystem of the South Senegalese Upwelling Sector (SSUS), located south of the Cape Verde peninsula over a wide and shallow continental shelf. Numerical experiments using a three-dimensional coupled physical–biogeochemical model with four plankton functional types simulated the response of the coastal planktonic ecosystem to idealized synoptic (∼10 days) wind intensification and relaxation of the same amplitude. We find that these perturbations induce spatio-temporal oscillations of plankton concentrations. Zooplankton response occurred with a time lag that manifests itself in space as an equatorward/downstream shift in distribution relative to phytoplankton. Overall, the transmission of the synoptic perturbation from the physics to zooplankton is characterized by a damping in relative anomalies. All these elements and the weakness of the asymmetries in the biogeochemical/planktonic ecosystem responses between intensification and relaxation events support the hypothesis that synoptic variability has limited impact on the climatological state of low–latitude upwelling systems such as the SSUS. PLAIN LANGUAGE SUMMARY In some coastal regions of the world such as off Senegal, winds preferentially blow alongshore and induce subsurface, cold and nutrient rich waters to rise to the surface layer and favor the development of plankton blooms. These so-called upwelling favorable winds are not steady. Their fluctuations produce dynamical and biogeochemical variability over a broad range of scales. Here, we studied the biogeochemical effect of 10-day (i.e. weather or synoptic) wind fluctuations over the southern Senegal continental shelf. We used a numerical model with a simplified planktonic ecosystem consisting of two phytoplankton and two zooplankton size classes. The wind perturbations modulate ocean physics, the enrichment of the sun-lit surface layer in nutrients and the planktonic ecosystem. The plankton’s response to wind fluctuations exhibited oscillations more complex and relatively less intense than those of the wind. The modest effect of the studied short-term wind fluctuations on plankton found in this study may be specific to low-latitude coastal oceans with wide continental shelves.

Predictability of the 2020 Strong Vortex in the Antarctic Stratosphere and the Role of Ozone

AbstractThe Antarctic vortex of October–December 2020 was the strongest on record in the satellite era for the season in the mid‐ to lower stratosphere. However, it was poorly predicted by the Australian Bureau of Meteorology's operational seasonal climate forecast system of that time, ACCESS‐S1, even at a short lead time of a month. Using the current operational forecast system, ACCESS‐S2, we have, therefore, tried to find a primary cause of the limited predictability of this event and conducted forecast sensitivity experiments to understand the potential role of ozone in the event and its associated anomalies of the Southern Annular Mode (SAM) and rainfall over south–eastern Australia and western Patagonia. Here, we show that the 2020 strong vortex event did not follow the canonical dynamical evolution seen in previous strong vortex events in spring but suddenly appeared as a result of the record‐low upward propagating wave activity in September 2020. The ACCESS‐S2 forecasts significantly underestimated the negative wave forcing in September even at zero lead time, irrespective of the ozone configuration, therefore falling short in predicting the record strength of the polar vortex in late spring 2020. Nevertheless, ACCESS‐S2 with prescribed realistic ozone that had large anomalies in the Antarctic stratosphere significantly better predicted the strong vortex and the subsequent positive SAM and related rainfall anomalies over south–eastern Australia and western Patagonia in the austral summer of 2020–21. This highlights the potentially important role of ozone variations for seasonal climate forecasting as a source of long‐lead predictability.

Synergistic effect of lone-pair electron and atomic distortion in introducing anomalous phonon transport in layered PbXSeF (X= Cu, Ag) compounds with low lattice thermal conductivity

Using first-principles calculations, self-consistent phonon theory and Boltzmann transport theory, the crystal structure, phonon and electronic transport, and thermoelectric (TE) properties of PbXSeF (X = Cu, Ag) compounds are comprehensive explored in the current work. The heterogeneous bonding characteristics along the in-plane and out-of-plane directions lead to low lattice thermal conductivities in PbXSeF (X = Cu, Ag) compounds. The low lattice thermal conductivity is primarily attributed to strong anharmonicity caused by the lone-pair electrons of Pb. Notably, the PbCuSeF compound, despite the lighter mass in comparison with PbAgSeF, exhibits relatively lower lattice thermal conductivity. Such finding can be attributed to the distortion introduced by Cu atom, which leads to strong quartic anharmonicity, and thereby suppressing the heat-carrying phonons through the rattling-like behavior of Cu atom. The lone-pair electrons of Pb2+ and the heterogeneous bonding characteristics in PbXSeF (X = Cu, Ag) compounds contribute the multi-valley band degeneracy, resulting the decoupling of Seebeck coefficient and electrical conductivity with carrier concentration while generating in a high power factor. Our current work not only illustrates the fundamental insights into the low lattice thermal conductivity and related anomaly of layered PbXSeF (X = Cu, Ag) compounds based on the four-phonon scattering and multiple carrier scattering rates, but also highlights the anisotropic feature of electronic and thermal transport properties.

Relationship between the geopotential height anomalies induced by tropical cyclones and the meridional movement of the western Pacific subtropical high

The present study employs statistical analysis to investigate the relationship between the geopotential height anomalies induced by tropical cyclones (TCs) and the meridional movement of the western Pacific subtropical high (WPSH), as well as the mechanisms through which TCs can induce such geopotential height anomalies. Results show that TCs can cause the WPSH to move northward, and the meridional motion of the WPSH ridgeline is related with the geopotential height anomalies, which is better indicated by the relative geopotential height anomalies. In the process of TCs causing the WPSH to move northward, the TCs cause abnormal horizonal warm (cold) advection and abnormal ascending (descending) motion in the region south (north) of 40°N. Since the influence of the abnormal vertical motion is weaker, the abnormal temperature tendency eventually shows a more consistent phase distribution with the abnormal horizonal temperature advection, which is favorable for the temperature to abnormally increase near 40°N. Such an abnormal increase in temperature causes the geopotential height to abnormally increase under the static equilibrium constraint, which further changes the location of the centroid of the WPSH geopotential height, and hence the location of the WPSH ridgeline changes as well.

Crystal structure and magnetic properties of Yb2Pt2Pb under multi-extreme conditions

ABSTRACT Structural and magnetic properties of the Shastry-Sutherland material Yb2Pt2Pb were studied in single-crystalline form under pressures up to 10 GPa, magnetic fields up to 17 T, and temperatures down to 0.3 K. Surprisingly robust magnetic order is observed with the Néel temperature T N = 2.1 K stable up to 8.1 GPa. Indication of an additional magnetic phase formation can be traced in resistivity data for magnetic field along the c-axis exceeding the (pressure-dependent) metamagnetic transition. The related anomaly shifts to higher temperatures with increasing field, merging T N at the tricritical point. Experiments with μ0 H // [110] revealed the pressure stabilization of observed magnetic phases with respect to the magnetic field. The crystal-structure type is stable up to 10 GPa, without any sign of symmetry change, exhibiting moderate volume compressibility with bulk modulus B = 116(13) GPa, in good agreement with B = 118 GPa provided by the density functional theory.

Ocular disorders and compliance to protective eyewear among quarry workers in Akamkpa local government area of cross river state, Nigeria

The quarry industry over time has played a pivotal role in the transformation of the physical environment but with attendant negative effects on workers. This study ascertained the pattern of work related ocular disorders and compliance to protective eye devices among quarry workers in Akamkpa LGA, Cross River State Nigeria. This descriptive cross sectional study employed the use of a structured interview followed by a comprehensive external examination of the eyes of the subjects by qualified eye care practitioners. Data generated was analysed using the Statistical Product for Service Solution (SPSS) version 25.0. Results were presented descriptively using tables and figures. The study took place in 8 quarry sites located in 4 communities randomly selected and involved 184 subjects randomly selected comprising of 140 (76.09%) males and 44 (23.91%) females. The age of the participants ranged from 18-60 years with a mean age of 32.03±2.23 (SD). The study revealed that predominant ocular symptoms experienced were blurry vision (31.5%), itchy eyes (27.94%), ocular irritation/ grittiness (15.55%), eye/ headaches (12.46%) and discharges (9.61%). The most common ocular surface anomalies observed were pterygium (41.80%), corneal scar/ ulceration (18.03%) and allergic conjunctivitis (16.39%), while the most frequent type of eye injuries reported were superficial foreign bodies, blunt trauma and superficial ocular abrasion accounting for 50.92%,30.06% and 11.04% respectively. Injuries due to quarrying activities were more common among labourers (41.10% and 29.45% among stone crushers and stone processors respectively), while workers with less than 5 years work experience reported more work related eye injury (74.85%) with broken stones (80.39%) accounting for most of the injuries. Similarly, a majority (94.7%) of the participants had knowledge of Personal Protective Eye Devices (PPEDs) only 26.44% had the appropriate PPEDs and just 30.43% of them complied regularly with their usage during work. There was a statistically significant association between work experience and the occurrence of work related ocular injuries (p>0.001) but the use of PPEDs has no statistically significant association with the occurrence of eye injuries. The study concluded that workers at the Akamkpa quarry, Nigeria suffered various types of work related ocular anomalies and while a majority of them had prior knowledge of the benefits of PPEDs, the level of availability and utilization is relatively low and recommended health education and strict enforcement of safety regulations.

Skillful Long-Lead Seasonal Predictions in the Summertime Northern Hemisphere Midlatitudes

Abstract In contrast to boreal winter when extratropical seasonal predictions benefit greatly from ENSO-related teleconnections, our understanding of forecast skill and sources of predictability in summer is limited. Based on 40 years of hindcasts of the Canadian Seasonal to Interannual Prediction System, version 3 (CanSIPSv3), this study shows that predictions for the Northern Hemisphere summer surface air temperature are skillful more than 6 months in advance in several midlatitude regions, including eastern Europe–Middle East, central Siberia–Mongolia–North China, and the western United States. These midlatitude regions of statistically significant predictive skill appear to be connected to each other through an upper-tropospheric circumglobal wave train. Although a large part of the forecast skill for the surface air temperature and 500-hPa geopotential height is attributable to the linear trend associated with global warming, there is significant long-lead seasonal forecast skill related to interannual variability. Two additional idealized hindcast experiments are performed to help shed light on sources of the long-lead forecast skill using one of the CanSIPSv3 models and its uncoupled version. It is found that tropical ENSO-related sea surface temperature (SST) anomalies contribute to the forecast skill in the western United States, while land surface conditions in winter, including snow cover and soil moisture, in the Siberian and western U.S. regions have a delayed or long-lasting impact on the atmosphere, which leads to summer forecast skill in these regions. This implies that improving land surface initial conditions and model representation of land surface processes is crucial for the further development of a seasonal forecasting system. Significance Statement Useful seasonal predictions in the boreal summer midlatitude regions are of great value. In this study, we show that predictions for the boreal summer season are skillful more than 6 months in advance in several midlatitude regions, including eastern Europe–Middle East, central Siberia–Mongolia–North China, and the western United States. The forecast skill in these regions is associated with a circumglobal teleconnection atmospheric circulation pattern. Sources of the long-lead forecast skill include the global warming–related trend and anomalies in the ocean and land surface initial conditions. It is found that the wintertime snow cover and soil moisture in the Siberian and western U.S. regions have a delayed or long-lasting impact on the atmosphere, which leads to summer forecast skill.

Identifying substance misuse related foetal anomaly cases in routinely collected data

ObjectiveFoetal Alcohol Syndrome Disorder (FASD) and substance misuse (SM) related foetal anomalies are among the most severe consequences of SM during pregnancy. These are preventable lifelong developmental disorders that affect children’s health, education, and future prospects. Despite the adverse effects of these disorders, epidemiological research in this population remains challenging due to clinical and administrative underreporting. For the first time, SM-related foetal anomaly prevalence in Wales are reported using linked routine data. ApproachWe combined birth register data with primary and secondary healthcare records to identify infants diagnosed with SM-related foetal anomaly. To compare, we identified mothers referred for SM treatment during pregnancy. The frequency and type of maternal SM-related healthcare interactions preceding birth (within three years prior) were described. ConclusionsA novel method to identify SM-related foetal anomaly cases using routinely collected data in Wales is provided. The published code to identify mothers and children exposed to SM-related events can also be reused in future projects. When compared with published estimates, cases of SM-related foetal anomaly derived from primary and secondary care diagnoses in Wales are likely underreported, along with the scale of the harm. ImplicationsWe highlight an unmet need, by counting mothers who were not in SM treatment but had SM-related health events in Wales before giving birth. By further understanding of the risks of SM on unborn children, this body of work provides insight to develop policy and clinical interventions to help future generations. We advocate introducing a SM foetal anomaly database for the UK.

Simulating springtime extreme rainfall over Southern East Asia: unveiling the importance of synoptic-scale activities

This study investigates the influence of synoptic-scale activities on extreme precipitation during March–April–May (MAM) over Southern East Asia (SEA) using observational data and compares the results with the outputs from 20 Coupled Model Intercomparison Project phase 6 (CMIP6) historical runs. Observations show that SEA intense daily precipitation in MAM is linked to enhanced upper-level synoptic-scale waves; these disturbances are associated with significant anomalous temperature advection as well as moisture flux convergence, creating favorable conditions for extreme rainfall. Furthermore, it is found that a temperature advection index (TAI) can be utilized to characterize such synoptic-scale activities. Inspection of CMIP6 historical runs reveals that, among 20 models, 13 models perform well in accurately capturing the observed SEA rainfall pattern; such extreme events are also closely linked to TAI in the model environment. Overall, observed (simulated) results show that 78% (75%) of extreme events in the Yangtze River Basin–South Korea–south of Japan region can be attributed to positive TAI. Additionally, the related circulation anomalies such as the upper-level synoptic-scale wave feature, temperature advection, and moisture anomalies from these models closely resemble those observed during extreme precipitation days in SEA. Our findings suggest that TAI can effectively indicate both the frequency and intensity of extreme rainfall events in SEA, along with the associated synoptic-scale activities. Further study reveals a close lead-lag correlation between TAI and rainfall patterns over SEA. This correlation is characterized by eastward-propagating wave trains across the entire troposphere. Consequently, TAI not only acts as a benchmark for quantifying synoptic-scale extreme rainfall in SEA but also shows potential in predicting SEA rainfall linked to synoptic-scale disturbances.

Neural secret key enabled secure cloud storage with efficient packet checker algorithm

Cloud computing technology is utilized for the commercial purpose of implementing virtualization for the storage of data, which is then controlled and made accessible to users via remote servers. With the increased use of various communication devices and direct access to web servers, there is a favorable opportunity to orchestrate attacks and exploit vulnerabilities in a system. Distributed Denial of Service (DDoS) is a commonly used technique employed by attackers in cloud environments. This study introduces a security layer incorporating a Packet Checker Algorithm (PCA) to detect and eliminate counterfeit packets. The algorithm takes into account transmission delay time as well as minimum and maximum thresholds, thereby enhancing the response time of the Intrusion Detection Process (IDP) in a cloud environment that utilizes neural encryption. Neural encryption is used to synchronize neural networks and create new public channel protocols for a secure cloud storage paradigm. This study greatly expands upon the hop count inspection and filtering method. It incorporates the time slot filtering function and implements a unique key set to differentiate between genuine packets and falsified packets. This novel methodology has the capability to detect Distributed Denial of Service (DDoS) attacks and related anomalies during the initial phases of data transmission. The technique considers Time-to-Live (TTL), Hope count, and Transmission-Delay-Time as crucial components.

Involvement of Sirt1-FoxO3a-Bnip3 axis and autophagy mediated mitochondrial turnover in according protection to hyperglycemic NRK-52E cells by Berberine

Aberrant accumulation of dysfunctional mitochondria in renal cells during hyperglycemia signifies perturbed autophagy and mitochondrial turnover. This study aims to focus on the underlying mechanism involved in autophagy and mitophagy inducing efficacy of Berberine (isoquinoline alkaloid) in hyperglycemic NRK-52E cells. Berberine mediated protection to hyperglycemic cells prevented alteration in mitochondrial structure and function. Treatment with SRT-1720 (Sirt1 activator) enhanced autophagy, decreased apoptosis, upregulated expression of downstream moieties (FoxO3a and Bnip3) and ameliorated mitochondria related anomalies while nicotinamide (Sirt1 inhibitor) treatment exhibited reversal of the same. GFP reporter assay ascertained enhanced transcriptional activity of FoxO in Berberine-treated hyperglycemic cells, which was found to be correlated to increased expression of downstream protein Bnip3. Knocking down FoxO3a disrupted autophagy and stimulated apoptosis. N-acetyl-L-cysteine pre-treatment confirmed that generation of ROS intervened high glucose induced toxicity in NRK-52E cells. Berberine co-treatment resulted in differential expressions of key proteins involved in autophagy and mitophagy like LC3B, ATGs, Beclin1, Sirt1, Bnip3, FoxO3a and Parkin. Further, enhanced mitophagy in Berberine-treated cells was confirmed by transmission electron microscopy. Thus, our findings give evidence that the protection accorded by Berberine against hyperglycemia in renal proximal tubular cells (NRK-52E) involves instigation of Sirt1-FoxO3a-Bnip3 axis and autophagy mediated mitophagy induction.

Magnetic structure and lattice properties of R2Cu2In intermetallics (R = Dy, Tm, Lu)

Magnetic and structural properties of tetragonal R2Cu2In intermetallics are presented for R = Dy, Tm, and Lu. The neutron diffraction experiment clarifies the nature of magnetic order in Dy2Cu2In and Tm2Cu2In. While Tm2Cu2In orders ferromagnetically below TC = 31 K with magnetic space group (MSG) P4/mb'm', Dy2Cu2In forms a non-collinear ferromagnetic state below 50 K (MSG P2'/m') with another k = (½, ½, ½) component of magnetic moment (MSG Ibam.1'c) appearing at 20 K. The ground-state magnetic structure is described by the MSG Im'm'a with a magnetic moment of 9.35 μB. This subsequent transition is accompanied by the changes in the T-dependence of anisotropy constants, however, no related anomaly is observed in specific heat dominated by the CF and exchange interaction effects. Magnetic properties are discussed in the context of lattice response to temperature and pressure variations. The experimental results are supported by the analysis of the non-magnetic Lu analogue and by the first-principles calculations (electronic structure and material properties) based on Density Functional Theory (DFT).