Characterization of an Inherited Neurologic Syndrome in Toyger Cats with Forebrain Commissural Malformations, Ventriculomegaly and Interhemispheric Cysts.

BackgroundIn children, frequent congenital malformations with concomitant agenesis of the corpus callosum are diagnosed by neuroimaging in association with other cerebral malformations, including interhemispheric cysts and ventriculomegaly. Similar studies providing full characterization of brain defects by in vivo magnetic resonance imaging (MRI), and correlations with the pertinent anatomic pathologic examinations are absent in veterinary medicine.Hypothesis/objectivesCongenital brain defects underlie the neurologic signs observed in Toyger cats selectively bred for a short ear phenotype.AnimalsUsing proper pedigree analysis and genetic evaluations, 20 related Oriental-derived crossbred Toyger cats were evaluated. Seven clinically healthy (carrier) cats and 13 clinically affected cats that had neurologic signs, short ear phenotype and concomitant complex brain anomalies were studied.MethodsComplete physical and neurologic examinations and MRI were performed in all clinically healthy and affected cats. Postmortem and histopathologic examinations were performed in 8 affected cats and 5 healthy cats.ResultsNeurologic and MRI investigations confirmed 13 clinically affected cats with structural brain abnormalities. Ventriculomegaly with frequent concomitant supratentorial interhemispheric, communicating ventricular type-1b cysts and multiple midline and callosal malformations were detected in all cats displaying neurologic signs. Genetic analysis confirmed autosomal recessive mode of inheritance with no chromosomal abnormalities.Conclusions and clinical importanceNeuroanatomic dissections and histopathology were helpful for evaluation of abnormalities in midline brain structures, and for the full characterization of cysts. However, MRI was more sensitive for detection of small cysts. In this feline model, MRI diagnosis had extremely good correlation with pathologic abnormalities noted in the subset of animals that were examined by both modalities

Exercise and Coronary Atherosclerosis: Observations, Explanations, Relevance, and Clinical Management.

Physical activity and exercise training are effective strategies for reducing the risk of cardiovascular events, but multiple studies have reported an increased prevalence of coronary atherosclerosis, usually measured as coronary artery calcification, among athletes who are middle-aged and older. Our review of the medical literature demonstrates that the prevalence of coronary artery calcification and atherosclerotic plaques, which are strong predictors for future cardiovascular morbidity and mortality, was higher in athletes compared with controls, and was higher in the most active athletes compared with less active athletes. However, analysis of plaque morphology revealed fewer mixed plaques and more often only calcified plaques among athletes, suggesting a more benign composition of atherosclerotic plaques. This review describes the effects of physical activity and exercise training on coronary atherosclerosis in athletes who are middle-aged and older and aims to contribute to the understanding of the potential adverse effects of the highest doses of exercise training on the coronary arteries. For this purpose, we will review the association between exercise and coronary atherosclerosis measured using computed tomography, discuss the potential underlying mechanisms for exercise-induced coronary atherosclerosis, determine the clinical relevance of coronary atherosclerosis in middle-aged athletes and describe strategies for the clinical management of athletes with coronary atherosclerosis to guide physicians in clinical decision making and treatment of athletes with elevated coronary artery calcification scores

Energy productivity and efficiency of the ‘gher’ (prawn-fish-rice) farming system in Bangladesh

‘Gher’ farming is a unique system that incorporates the joint operation of three enterprises: freshwater prawn, fish and HYV rice, and is expanding rapidly in the coastal regions of Bangladesh because of its proven high income earning potential. In this paper, the sustainability of this system is evaluated by analysing its performance in terms of energy use by applying a stochastic distance function approach which revealed interesting and unexpected results. The prawn enterprise which is the key income earning component is found to be technically inefficient while the rice enterprise is found to be efficient. The net energy balance and the energy use efficiency of the ‘gher’ farming system is estimated at 18,510 MJ ha−1 and 1.72 respectively. The ‘gher’ farmers are operating at a very high level of technical (energy) efficiency (92%). Diversification amongst enterprises is associated with technical (energy) inefficiency. However, larger operation size enhances efficiency. The key policy implication is that the ‘gher’ farming system can be sustained in the long run provided that productivity from the rice enterprise remains high. Also, policies to support the expansion of ‘gher’ farm sizes will improve efficiency

Processing of advanced Al/SiC particulate metal matrix composites under intensive shearing – A novel rheo process

Particulate Metal Matrix Composites (PMMCs) have attracted interest for application in numerous fields. The current processing methods often produce agglomerated particles in the ductile matrix and as a result these composites exhibit extremely low ductility. The key idea to solve the current problem is to adopt a novel Rheo-process allowing the application of sufficient shear stress () on particulate clusters embedded in liquid metal to overcome the average cohesive force or the tensile strength of the cluster. In this study, cast A356/SiCp composites were produced using a conventional stir casting technique and a novel Rheo-process. The microstructure and properties were evaluated. The adopted Rheo-process significantly improved the distribution of the reinforcement in the matrix. A good combination of improved Ultimate Tensile Strength (UTS) and tensile elongation (ε) is obtained

Productivity and efficiency impacts of urea deep placement technology in modern rice production: An empirical analysis from Bangladesh

Rice is the most dominant field crop in Bangladesh covering 75% of the total cultivated area and consumes 80% of the total fertilizers alone. Nevertheless, the productivity of rice in Bangladesh remains one of the lowest in the world. Urea, the main source of nitrogen (N), plays a key role in rice production, is required in large amount, is the most limited nutrient and also suffers from heavy system losses when applied in the puddle field. A worldwide crisis of urea fertilizer in 2008 spurred the need to economize on its use with urgency. The Urea Deep Placement (UDP) technology is aimed at increasing N fertilizer use efficiency in rice production and thus holds the promise to economize on the use of a very important but finite resource (i.e., urea) while improving rice productivity. The present study econometrically measures the impact of recently introduced UDP technology on productivity and efficiency of modern rice cultivation at the farm-level in Bangladesh using a stochastic production frontier approach. Data were collected from Shimlagachi village in Sharsha upazilla (sub-district) of Jessore district, located 225 km southwest of capital Dhaka. A total of 100 farmers using UDP technology and another 100 farmers using conventional urea to produce rice in both Boro (dry winter) and Aman (monsoon) seasons were randomly selected. Detailed input-output data including socio-economic information of the farmers were collected through administering a pre-tested structured questionnaire. The survey was conducted during May-June 2013. Results reveal that net profit, productivity and technical efficiency are significantly higher for the farmers using UDP technology as compared with the conventional urea users. On average, productivity of UDP farmers is 13% higher (estimated at 7164 kg/ha and 5242 kg/ha for Boro and Aman seasons, respectively) than the conventional urea users. Profitability is also higher for UDP farmers (BCR estimated at 1.36 and 1.08 for Boro and Aman seasons, respectively) than the conventional urea users (BCR estimated at 1.17 and 0.99 for Boro and Aman seasons, respectively). Finally, technical efficiency is 12% higher (estimated at 0.93) for the UDP farmers. However, the relative gain from UDP technology adoption is significantly higher in Boro season as compared with Aman season. The key policy conclusion is that the UDP technology should be disseminated widely with urgency so that Bangladesh can improve its food security by significantly increasing rice productivity while at the same time economize on the use of N fertilizer nutrient

Impact of cultural behaviour on indoor comfort: Examining the air quality in Homes and exploring observational and experimental methods of representation through filmmaking

There is a limited understanding of householders’ cultural differences and their impact on spatial organisation and energy behaviour in dwellings. Indoor air quality directly impacts the health and well-being of occupants. The airborne COVID-19 epidemic has highlighted shortcomings of controlled ventilation systems in recent reports (PHE, Dec 2020). While efficiency interventions can make homes more affordable to heat, they can exacerbate conditions such as asthma, due to reduced indoor air quality and ventilation. Preliminary research conducted in Plymouth by the applicant indicates that British Asians use their homes differently compared to native British in terms of spatial organisation, cooking habits (on average, they spend five times more time cooking the daily meal) and ventilation strategies, all of which have an impact on indoor air quality. This project sets out to establish the impact of culturally informed choices on indoor air quality and the extent to which the norms that guide the design of energy-efficient homes ignore potentially significant cultural and behavioural differences. It will achieve this by focusing on the impact of energy behaviour and choices related to cooking on the indoor air quality of British-Asian households. The project aims to quantify temperature, humidity and air quality by data collected by a pilot study in Plymouth, UK. We will engage the community in a participatory methodology using correlational research and survey questionnaires and IAQ Data Loggers to evidence anomalies from the design norms currently used in the UK. In addition to traditional data analysis, our methodology includes artistic research, utilising observational and sensory ethnographic filmmaking techniques, to support, document, and evidence the impact of cooking in the home. We aim to explore how the intersection between these two methods can reveal and communicate new perspectives. The main outcome is to evaluate the impact of cultural behaviour on the air quality of super-insulated British-Asian homes through an interdisciplinary methodology. This project lays foundations for larger-scale research working with diverse ethnic minority communities to promote engagement in a low-carbon society.</jats:p

Treating cisplatin-resistant cancer: a systematic analysis of oxaliplatin or paclitaxel salvage chemotherapy

Objective: To examine the pre-clinical and clinical evidence for the use of oxaliplatin or paclitaxel salvage chemotherapy in patients with cisplatin-resistant cancer. Methods: Medline was searched for 1) Cell models of acquired resistance reporting cisplatin, oxaliplatin and paclitaxel sensitivities and 2) Clinical trials of single agent oxaliplatin or paclitaxel salvage therapy for cisplatin/carboplatin-resistant ovarian cancer. Results: Oxaliplatin - Oxaliplatin is widely regarded as being active in cisplatin-resistant cancer. In contrast, data in cell models suggests that there is cross-resistance between cisplatin and oxaliplatin in cellular models with resistance levels which reflect clinical resistance (<10 fold). Oxaliplatin as a single agent had a poor response rate in patients with cisplatin-resistant ovarian cancer (8%, n=91). Oxaliplatin performed better in combination with other agents for the treatment of platinum-resistant cancer suggesting that the benefit of oxaliplatin may lie in its more favourable toxicity and ability to be combined with other drugs rather than an underlying activity in cisplatin resistance. Oxaliplatin therefore should not be considered broadly active in cisplatin-resistant cancer. Paclitaxel – Cellular data suggests that paclitaxel is active in cisplatin-resistant cancer. 68.1% of cisplatin-resistant cells were sensitive to paclitaxel. Paclitaxel as a single agent had a response rate of 22% in patients with platinum-resistant ovarian cancer (n = 1918), a significant increase from the response of oxaliplatin (p<0.01). Paclitaxel-resistant cells were also sensitive to cisplatin, suggesting that alternating between agents may be beneficial. Studies of single agent paclitaxel in platinum-resistant ovarian cancer where patients had previously received paclitaxel had an improved response rate of 35.3% n=232 (p<0.01), suggesting that pre-treatment with paclitaxel improves the response of salvage paclitaxel therapy. Conclusions: Cellular models reflect the resistance observed in the clinic as the cross resistant agent oxaliplatin has a lower response rate compared to the non-cross resistant agent paclitaxel in cisplatin-resistant ovarian cancer. Alternating therapy with cisplatin and paclitaxel may therefore lead to an improved response rate in ovarian cancer

Diagnosis of liver disease by computer- assisted imaging techniques: A literature review

Copyright © 2022 The authors. Diagnosis of liver disease using computer-aided detection (CAD) systems is one of the most efficient and cost-effective methods of medical image diagnosis. Accurate disease detection by using ultrasound images or other medical imaging modalities depends on the physician's or doctor's experience and skill. CAD systems have a critical role in helping experts make accurate and right-sized assessments. There are different types of CAD systems for diagnosing different diseases, and one of the applications is in liver disease diagnosis and detection by using intelligent algorithms to detect any abnormalities. Machine learning and deep learning algorithms and models play also a big role in this area. In this article, we tried to review the techniques which are utilized in different stages of CAD systems and pursue the methods used in preprocessing, extracting, and selecting features and classification. Also, different techniques are used to segment and analyze the liver ultrasound medical images, which is still a challenging approach to how to use these techniques and their technical and clinical effectiveness as a global approach

Diversification economies and efficiencies in a 'blue-green revolution' combination: A case study of prawn-carp-rice farming in the 'gher' system in Bangladesh

'Gher' farming is a unique system that incorporates the joint operation of three enterprises: freshwater prawn, fish and HYV rice and is expanding rapidly in the coastal regions of Bangladesh. In this paper we evaluate the performance of this unique system in terms of the existence of diversification economies (amongst the three integrated enterprises), scale economies and technical efficiency using a stochastic input distance function approach on a sample of gher farmers. The results reveal evidence of a diversification economy in the rice-carp combination. Economies of scale exist in the 'gher' farming system. The level of technical efficiency is estimated at 68% implying that a substantial 47% [(100-68)/68] of potential output can be recovered by removing inefficiency. Significant efficiency gains are made from diversification amongst these enterprises. Also, the education of farmers and the female labour input significantly improve efficiency whilst larger operation size reduces efficiency. The key policy implication is that the diversification of enterprises, particularly the rice-carp combination, is beneficial and should be promoted. Also investment in education and creation of a hired labour market for females would improve technical efficiency. © 2010 Springer Science+Business Media B.V

Seasonal variation of the water quality parameters and its influences in the mahanadi estuary and near coastal environment, east coast of India

The distributions of water quality parameters viz. temp, salinity, dissolved oxygen (DO), biochemical oxygen demand (BOD), total suspended substances (TSS), nutrients NO 2-N, NO 3-N, NH 4-N, PO 4-P, SiO 4-Si, total nitrogen (TN), total phosphorous (TP) and Chlorophyll-a (Chl-a) were studied in the Mahanadi river and costal environment of Paradip in two different seasons i.e. post-monsoon and summer during 2006-2007. Results of nutrient concentrations were exhibited higher indicates that large inputs possibly from two major fertilizer plants, municipal sewage from Paradip town and agricultural runoff. In the estuary most of the nutrients showed higher values (NO 3 7.23 μmol/l, NH 4 6.32 μmol/l, PO 4 16.03 μmol/l and SiO 4 15.32 μmol/l) during post-monsoon as compared to the costal stations. The PO 4 TN, TP and SiO 4-Si showed a well-defined pattern of distribution with higher concentration in estuarine water of Mahanadi estuary during summer