Abdominal tuberculosis with massive jejunal haemorrhage

ABSTRACT Jejunum is a rare site of involvement in intestinal tuberculosis (TB) and massive lower gastrointestinal haemorrhage is an even rare reported condition. The authors report a 15-year-old female student, who presented with fever, anaemia, hypoalbunemia and developed massive lower gastrointestinal haemorrhage during hospital stay. The diagnosis of abdominal TB was established on tissue biopsy; tissue culture was positive for Mycobacterium TB. Optimal outcome was achieved with aggressive resuscitation, repeated mesenteric angio-embolization and anti-tuberculosis chemotherap

Facial Nerve Palsy Unusual Complication of Percutaneous Angiography and Emoblization for Juvenile Angiofibroma

Juvenile angiofibrorna is a locally invasive, vascular and non-encapsulated neoplasm occurring almost exclusively in adolescent males. Although histologically benign, these tumors are highly aggressive and are associated with significant morbidity and occasional mortality. It has marked tendency to recur if not completely removed1 . As the tumor is highly vascular, surgely is frequently accompanied by significant intraoperative hemorrhage, which may contribute to incomplete removal and additional morbidity and mortality2 . Roberson (1972) was first to advocate pre-operative angiography and embolization of major feeding vessels as an adjunct therapeutic method in addition to surgery, to facilitate complete excision of the tumOr and to minimize the risk of complications due to profuse haemorrhage during surgery. Since then embolization has been recommended by a number of authors3,4 . Complications of angiography and embolization, such as accidental embolization of the brain and ophthalmic artery, facial nerve palsy and necrosis of the skin and soft tissue may occur3 . We present our experience, of a patient with Juvenile angiofibroma, who had pre-operatively percutaneous angiography and embolization of internal maxillary artery followed by facial nerve palsy of the same side

Outdoor node localization using random neural networks for large-scale urban IoT LoRa networks

Accurate localization for wireless sensor end devices is critical, particularly for Internet of Things (IoT) location-based applications such as remote healthcare, where there is a need for quick response to emergency or maintenance services. Global Positioning Systems (GPS) are widely known for outdoor localization services; however, high-power consumption and hardware cost become a significant hindrance to dense wireless sensor networks in large-scale urban areas. Therefore, wireless technologies such as Long-Range Wide-Area Networks (LoRaWAN) are being investigated in different location-aware IoT applications due to having more advantages with low-cost, long-range, and low-power characteristics. Furthermore, various localization methods, including fingerprint localization techniques, are present in the literature but with different limitations. This study uses LoRaWAN Received Signal Strength Indicator (RSSI) values to predict the unknown X and Y position coordinates on a publicly available LoRaWAN dataset for Antwerp in Belgium using Random Neural Networks (RNN). The proposed localization system achieves an improved high-level accuracy for outdoor dense urban areas and outperforms the present conventional LoRa-based localization systems in other work, with a minimum mean localization error of 0.29 m

Performance of a live multi-gateway LoRaWAN and interference measurement across indoor and outdoor localities

Little work has been reported on the magnitude and impact of interference with the performance of Internet of Things (IoT) applications operated by Long-Range Wide-Area Network (LoRaWAN) in the unlicensed 868 MHz Industrial, Scientific, and Medical (ISM) band. The propagation performance and signal activity measurement of such technologies can give many insights to effectively build long-range wireless communications in a Non-Line of Sight (NLOS) environment. In this paper, the performance of a live multi-gateway in indoor office site in Glasgow city was analysed in 26 days of traffic measurement. The indoor network performances were compared to similar performance measurements from outdoor LoRaWAN test traffic generated across Glasgow Central Business District (CBD) and elsewhere on the same LoRaWAN. The results revealed 99.95% packet transfer success on the first attempt in the indoor site compared to 95.7% at the external site. The analysis shows that interference is attributed to nearly 50 X greater LoRaWAN outdoor packet loss than indoor. The interference measurement results showed a 13.2–97.3% and 4.8–54% probability of interfering signals, respectively, in the mandatory Long-Range (LoRa) uplink and downlink channels, capable of limiting LoRa coverage in some areas

Digitized Collection in Higher Educational Institutions Around the Globe

The development of information and communication technology has paved the way to the development of electronic devices and has changed the traditional libraries to digital libraries. In which digitization of library collection has become a common activity. Digitization has opened up new audiences and services for libraries, that needs to be integrated into the plans and policies of any institution to maximize its effectiveness. With the help of digital technology institutions can share their research output globally by access and disseminate research information. This paper aims to explore and identify the role of digitized collection of the top 20 universities in the world according to the “Times Higher Education” World Rankings 2015-1

Rewiring of primary metabolism for ammonium recycling under short-term low CO2 treatment – its implication for C4 evolution

The dramatic decrease in atmospheric CO2 concentration during Oligocene was proposed as directly linked to C4 evolution. However, it remains unclear how the decreased CO2 concentration directly facilitate C4 evolution, besides its role as a selection pressure. We conducted a systematic transcriptomics and metabolomics analysis under short-term low CO2 condition and found that Arabidopsis grown under this condition showed 1) increased expression of most genes encoding C4-related enzymes and transporters; 2) increased expression of genes involved in photorespiration and pathways related to carbon skeleton generation for ammonium refixation; 3) increased expression of genes directly involved in ammonium refixation. Furthermore, we found that in vitro treatment of leaves with NH4+ induced a similar pattern of changes in C4 related genes and genes involved in ammonium refixation. These data support the view that Arabidopsis grown under short-term low CO2 conditions rewired its metabolism to supply carbon skeleton for ammonium recycling, during which process the expression of C4 genes were up-regulated as a result of a hitchhiking process. This study provides new insights into the adaptation of the C3 model plant Arabidopsis under low CO2 conditions and suggests that low CO2 can facilitate the evolution of C4 photosynthesis beyond the commonly assumed role of being a selection pressure

Improving local health through community health workers in Cambodia: challenges and solutions

Volunteer community health workers (CHWs) are an important link between the public health system and the community. The ‘Community Participation Policy for Health’ in Cambodia identifies CHWs as key to local health promotion and as a critical link between district health centres and the community. However, research on the challenges CHWs face and identifying what is required to optimise their performance is limited in the Cambodian context. This research explores the views of CHWs in rural Cambodia, on the challenges they face when implementing health initiatives

Sustainable versus conventional cryptocurrencies in the face of cryptocurrency uncertainty indices: An analysis across time and scales

Are conventional and sustainable cryptocurrencies effective hedging instruments for high cryptocurrency uncertainty? This paper examines co-movements between conventional (Bitcoin, Ethereum, Binance Coin, Tether) and sustainable (Cardano, Powerledger, Stellar, Ripple) cryptocurrencies and two cryptocurrency uncertainty indices (UCRY price and UCRY policy). Using weekly returns from 1 October 2017 to 30 March 2021, the paper employs the bivariate wavelet coherence method considering three investment horizons, short-term, medium-term, and long-term. The results confirm that conventional and sustainable cryptocurrencies show consistent positive and identical co-movements with both cryptocurrency uncertainty indices at the short-term horizon during COVID-19 and negative co-movement at the medium-term investment horizon, suggesting the short-term hedging ability of dirty/green cryptocurrencies for high UCRY price and policy. Evidence of negative coherences shows that higher cryptocurrency prices and policy uncertainties lead to lower cryptocurrency returns, reflecting the adverse impact of higher uncertainties on the trust of crypto traders and investors. Weak co-movement is found between dirty/green cryptocurrencies and UCRY price/policy indices, which suggests the possible role of dirty/green cryptocurrencies as a weak hedge for UCRY price and policy indices. These findings provide potential avenues to hedge cryptocurrency uncertainties using conventional and sustainable cryptocurrencies across multiple investment horizons