Prenatal Diagnosis of Congenital Dermal Sinus

Background: Congenital dermal sinus (CDS) is an uncommon form of spinal dysraphism. Although postdelivery identification in the neonate is aided by several associated physical examination findings, establishing this diagnosis prenatally has proven to be elusive. Case Report: We present a case of CDS where the prenatal findings at 20 weeks gestation led to the diagnosis, which was confirmed postnatally. The associated protrusion of fibrotic membranes through the sinus tract helped in the identification of this lesion prenatally, but created confusion with a more common type of lesion, an open neural tube defect. This is the first case report in the literature describing prenatal diagnosis of fetal CDS. Conclusion: Prenatal diagnosis with postnatal confirmation of CDS leads to early intervention, better long-term outcomes, and lesser complications

Prenatal Diagnosis of Congenital Dermal Sinus

Background Congenital dermal sinus (CDS) is an uncommon form of spinal dysraphism. Although postdelivery identification in the neonate is aided by several associated physical examination findings, establishing this diagnosis prenatally has proven to be elusive. Case Report We present a case of CDS where the prenatal findings at 20 weeks gestation led to the diagnosis, which was confirmed postnatally. The associated protrusion of fibrotic membranes through the sinus tract helped in the identification of this lesion prenatally, but created confusion with a more common type of lesion, an open neural tube defect. This is the first case report in the literature describing prenatal diagnosis of fetal CDS. Conclusion Prenatal diagnosis with postnatal confirmation of CDS leads to early intervention, better long-term outcomes, and lesser complications

The Gulf War: Australia's role and Asian-Pacific responses

This study examines the responses of Asian-Pacific countries to Australia's role in the Gulf crisis and other related issues (such as the role of the United Nations in the post-Cold War era, the New World Order, and the prospects for collective security in the Asia-Pacific Region) in order to again an understanding of regional perceptions of Australia's present and future role in the global and regional security regimes. It demonstrates that the response of Asian-Pacific countries to Australian military commitment in the Gulf War ranged from outright opposition (North Korea and Vietnam) to understanding (Indonesia, Malaysia, China and India) and wholehearted support (Singapore, Thailand, the Philippines, Brunei, the south Pacific Forum states, South Korea, Japan and Sri Lanka). In the initial stages of the crisis, Canberra's hasty dispatch of warships following the US and British lead had the potential to undermine Australian attempts to project itself as an independent actor in the Asia-Pacific region. But the formation of a broad anti-Iraqi international coalition and prompt conclusion of the war seemed to vindicate the Australian position and rather enhanced its image in some Asian capitals. It can be argued that a long-drawn-out war or Israeli participation in the conflict would have exacerbated latent tensions and highlighted differences between Australian and Indonesian/Malaysian attitudes. Though Australia's role in the Gulf did not cause any rift between Australia and other Asian-Pacific countries, it once again highlighted their different perceptions. Most Asian-Pacific countries do not share the Bush-Hawke perception of the New World Order and are critical of the role of the United Nations during the Gulf crisis. Many Asian states do not believe that Gulf-style conflict management should serve as a model for coping with future regional conflicts

Diagnosis of COVID-19 Using Chest X-ray

Covid-19 is also a wide spreading infective agent disease that infects humans. A clinical study of COVID-19 infected patients has shown that these kinds of patients are square measure principally infected from a respiratory organ infection when come in contact with this disease. Chest xray (i.e., radiography) a less complicated imaging technique for identification respiratory organ connected issues. Deep learning is that the foremost undefeated technique of machine learning, that provides helpful analysis to review an oversize quantity of chest x-ray pictures which may critically impact on screening of Covid-19. Throughout this work, we have taken the PA read of chest x-ray scans for covid-19 affected patients conjointly as healthy patients. We have used deep learning-based CNN models and compared their performance. We have equate ResNeXt models and inspect their precision to investigate the model presentation, 6432 chest x-ray scans samples square measure collected from the Kaggle repository. This work solely core on potential ways of cluster covid-19 infected patients

Employee experience –the missing link for engaging employees: Insights from an MNE 's AI ‐based HR ecosystem

Abstract: Analyzing multiple data sources from a global information technology (IT) consulting multinational enterprise (MNE), this research unpacks the configuration of a digitalized HR ecosystem of artificial intelligence(AI)‐assisted human resource management (HRM) applications and HR platforms. This study develops a novel theoretical framework mapping the nature and purpose of a digitalized AI‐assisted HR ecosystem for delivering exceptional employee experience (EX), an antecedent to employee engagement (EE). Employing the theoretical lenses of EX, EE, AI‐mediated social exchange, and engagement platforms, this study's overarching aim of this article is to establish how AI‐assisted HRM fits into an organization's ecosystem and, second, how it impacts EX and EE. Our findings show that AI‐assisted applications for HRM enhance EX and, thus, EE. We also see increases in employee productivity and HR function's effectiveness. Implications for research and practice are also discussed

A novel ZRS variant causes preaxial polydactyly type I by increased sonic hedgehog expression in the developing limb bud.

PurposePreaxial polydactyly (PPD) is a common congenital hand malformation classified into four subtypes (PPD I-IV). Variants in the zone of polarizing activity regulatory sequence (ZRS) within intron 5 of the LMBR1 gene are linked to most PPD types. However, the genes responsible for PPD I and the underlying mechanisms are unknown.MethodsA rare large four-generation family with isolated PPD I was subjected to genome-wide genotyping and sequence analysis. In vitro and in vivo functional studies were performed in Caco-2 cells, 293T cells, and a knockin transgenic mouse model.ResultsA novel g.101779T>A (reference sequence: NG_009240.2; position 446 of the ZRS) variant segregates with all PPD I-affected individuals. The knockin mouse with this ZRS variant exhibited PPD I phenotype accompanying ectopic and excess expression of Shh. We confirmed that HnRNP K can bind the ZRS and SHH promoters. The ZRS mutant enhanced the binding affinity for HnRNP K and upregulated SHH expression.ConclusionOur results identify the first PPD I disease-causing variant. The variant leading to PPD I may be associated with enhancing SHH expression mediated by HnRNP K. This study adds to the ZRS-associated syndromes classification system for PPD and clarifies the underlying molecular mechanisms

Active faults studies in Delhi and national capital region (NCR): Inferences from satellite data and field investigations

In recent years, the National Capital Region (NCR) of Delhi has experienced several earthquakes ranging in magnitude from 1.0 to 6.7. According to the last 50 years of earthquake data, the majority of earthquakes in the NCR have occurred near the Mahendragarh Dehradun Fault (MDF) and the Sohna Fault (SF). The region is bounded by a number of subsurface Ridges, Faults, and Lineaments, which are also influenced by the active plate boundary of the Indian and Eurasian plates. Active fault mapping is critical for the precise identification and marking of active fault traces in the NCR area for a precise seismic hazard assessment. We used high resolution Cartosat-1 stereopair data obtained from NRSC, Hyderabad, and Anaglyph (A 3D representation of the surface) and DEM prepared with ENVI software to map the active faults. We identified 12 sites in the NCR region based on satellite data interpretation, primarily along the MDF and Sohna Fault and their extensions. The presence of tectono-geomorphic markers along the MDF and Sohna Fault, such as warped surfaces indicative of fault scarps, stream offsets, gully erosion, and sag ponds, suggests active tectonic movement along these faults, most likely in the recent geological past. We believe the MDF is a right-lateral strike-slip fault with a compressional component on the western side and an extensional component on the eastern side. It acts as a segment boundary between compressional and extensional boundaries. We also identified the right lateral Nuh-Jhirka fault (NJF), which can be the Sohna Fault’s southern extension from Nuh to Jhirka. The western limb of the Delhi Mega fold has also seen a few right-lateral strike-slip movements that have extended up to the eastern bank of the Yamuna River, where the river reflects the base-level change and tight meandering on its upward side and a straight pattern on its downward side. This fault is known as the Delhi Fault (DF). The findings are preliminary, and further research would be required to create a detailed active fault map of the Delhi-NCR region to conduct a precise Seismic Hazard Assessment (SHA) of the region