A “ No vel Th understorm A lert S ystem” (NOTHAS) has been developed and extensively tested for forecast and warnings of mid-latitude and tropical convective events. The design of the system showed some potential advantages compared to earlier alert systems, mainly in reducing uncertainties in predictions by taking the given maximum hourly local-scale signal. It represents a dynamic tool which allows the use of the probability concept of multivariate distribution and integrating it into general function by taking all convective parameters. It utilizes the latest developed microphysical parameterization scheme using a scale and aerosol awareness convective scheme and the sharpest criteria for mid-latitude storms. NOTHAS shows consistency and some kind of flexibility in post-processing applications, regardless of different parameterizations used in the ensemble or deterministic forecasts. The scientific verification shows a high level of accuracy in all significant scores which indicates that severe weather outlooks produced by NOTHAS for several hours ahead are in good alignment with observed thunderstorm activity. This novel tool shows a good performance which has sufficient merit for further additional testing and system evaluation of different severe mid-latitude and tropical storms, tropical cyclones and other severe weather cases across regions.

Abstract Objectives Young laboratory medicine professionals (YLMPs) are the future of clinical laboratories. Although everyday practice shows significant differences among countries, especially during residency training, most of them face the same challenges. Besides promoting scientific, professional and clinical aspects of laboratory medicine in Europe, the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) should take into consideration YLMPs’ concerns and interests to help them achieve excellence. The aim of this survey was to assess the opinion and expectations of YLMPs about their involvement in the activities of EFLM. Methods An online survey was distributed to YLMPs in Europe through different channels. The questionnaire consisted of 21 items grouped into five sections: demographic questions, opinion about the current status of YLMPs within EFLM, YLMPs network, suggestions and opportunities, and scientific training and exchange. Where appropriate, responses from residents and specialists were compared. Results A total of 329 valid responses were obtained from 53 different countries. Countries with the highest number of participants were Spain, Turkey, Croatia and Romania. A significant percentage would like to know more about EFLM and their activities (86%) and wish EFLM promoted networking and scientific exchanges (95%), for instance by means of a European YLMPs network (93%). EFLMLabX project was widely unknown (75%). Conclusions YLMPs demand better connection to share concerns about daily healthcare duties, to keep updated and to advance professionally. EFLM needs to improve their advertising through national societies to increase YLMPs’ participation. In addition to international meetings and congresses, respondents have emphasized that workshops and other small group activities would significantly help promote laboratory medicine practice in Europe.

The fourth industrial revolution is about the development of Industry 4.0, the changing of the production paradigm and economic digitalization. The research subject are the development conditions of Industry 4.0 in the Republic of Serbia. The main research objective is to point out the importance of the efficient development of Industry 4.0 and the implementation of structural changes through the process of digitalization and application of technological innovation in the manufacturing industry. The method of analysis is used to identify the concepts of Industry 4.0 and the new industrial paradigm. The comparative method is used to compare technological criteria and changes. The development conditions of Industry 4.0 are analyzed indirectly through technological criteria and innovation, i.e. data obtained from survey on innovation, individual innovation and technology indicators and composite indicators. Industry 4.0 is an important factor in technological and structural change, economic growth and competitiveness. The research results show that the Republic of Serbia lacks incentives for the development of Industry 4.0. The research results are useful to industrial policy makers as they point to some of the key factors and directions of change to create the conditions for the development of Industry 4.0, the manufacturing industry and the digital transformation of the economy.

The fourth industrial revolution is about the development of Industry 4.0, the changing of the production paradigm and economic digitalization. The research subject are the development conditions of Industry 4.0 in the Republic of Serbia. The main research objective is to point out the importance of the efficient development of Industry 4.0 and the implementation of structural changes through the process of digitalization and application of technological innovation in the manufacturing industry. The method of analysis is used to identify the concepts of Industry 4.0 and the new industrial paradigm. The comparative method is used to compare technological criteria and changes. The development conditions of Industry 4.0 are analyzed indirectly through technological criteria and innovation, i.e. data obtained from survey on innovation, individual innovation and technology indicators and composite indicators. Industry 4.0 is an important factor in technological and structural change, economic growth and competitiveness. The research results show that the Republic of Serbia lacks incentives for the development of Industry 4.0. The research results are useful to industrial policy makers as they point to some of the key factors and directions of change to create the conditions for the development of Industry 4.0, the manufacturing industry and the digital transformation of the economy.

Ciliates are globally distributed eukaryotic organisms inhabiting virtually all environments on Earth. Although ciliates range from 10 µm to few mm in cell size, they are repeatedly reported in the pico-sized fraction (smaller than 2-3 µm) of molecular surveys. Here, we used existing datasets (BioMarKs and Tara Oceans) with different size fractions to demonstrate that the ciliate pico-sized signal, likely derived from cell breakage during filtration, is informative and reliable to study marine ciliate biodiversity and biogeography. Then, we used sequences from the picoeukaryotic fraction of two circumnavigation expeditions, Malaspina-2010 and Tara Oceans, to give insights into the taxonomic composition and horizontal and vertical distribution of ciliates in the global ocean. Results suggested a high homogeneity of ciliate communities along the ocean surface from temperate to tropical waters, with ciliate assemblages dominated by a few abundant and widely distributed taxa. Very few taxa were found in a single oceanic region, therefore suggesting a high level of ciliate cosmopolitanism in the global ocean. In vertical profiles, ciliates were detected up to 4000 m depth, and a clear vertical community structuring was observed. Our results provided evidence supporting ciliates as deeply integrated organisms in the deep-sea trophic web, where they may play a relevant role as symbionts of metazoans and grazers of prokaryotes and small eukaryotes in the water column and in aggregates.

The aim of this research is the evaluation and selection of suppliers by applying the fuzzy multi-criteria analysis. The study used fuzzy Analytic Hierarchy Process (FAHP) to choose the optimal supplier for the purchase of materials necessary for the production of pre-insulated pipes. Decision-makers selected among five suppliers based on nine criteria: material cost, pipe length, delivery time, type of payment, transport distance, quality, reliability, flexibility and relationship with customers. Effective execution of procurement, in this case, the procurement of material needed for the production logistics subsystem, influences the overall efficiency of the business. It is vital to make the right decision when selecting a supplier, because the optimal choice ensures lower cost and higher quality of the product itself, and therefore more competitiveness in the market.

ABSTRACT A closer look at the recent Malaysian judicial decisions in Islamic finance cases shows that the power of the courts to adjudicate Islamic finance disputes has been diminished. The main cause of this seems to be the enactment of sections 56 and 57 of the Central Bank of Malaysia Act 2009, which mandated the courts to not only delegate the ascertainment of Shari’ah issues pertaining to Islamic finance to the designated Shari’ah Advisory Council (SAC), but also to accept and apply its rulings. This article examines the constitutionality of both sections with special reference to the recent decision in JRI Resources Sdn Bhd v Kuwait Finance House (Malaysia) Bhd [2019] 5 CLJ 569, in which the Federal Court upheld their validity by a slim majority of 5 to 4. The article offers alternatives that are both constitutional and receptive to the SAC’s role in the resolution of Islamic finance disputes.

Liver metastases (mts) from colorectal cancer (CRC) can have different responses to chemotherapy in the same patient. The aim of this study is to develop and validate a machine learning algorithm to predict response of individual liver mts. 22 radiomic features (RF) were computed on pretreatment portal CT scans following a manual segmentation of mts. RFs were extracted from 7x7 Region of Interests (ROIs) that moved across the image by step of 2 pixels. Liver mts were classified as non-responder (R-) if their largest diameter increased more than 3 mm after 3 months of treatment and responder (R+), otherwise. Features selection (FS) was performed by a genetic algorithm and classification by a Support Vector Machine (SVM) classifier. Sensitivity, specificity, negative (NPV) and positive (PPV) predictive values were evaluated for all lesions in the training and validation sets, separately. On the training set, we obtained sensitivity of 86%, specificity of 67%, PPV of 89% and NPV of 61%, while, on the validation set, we reached a sensitivity of 73%, specificity of 47%, PPV of 64% and NPV of 57%. Specificity was biased by the low number of R- lesions on the validation set. The promising results obtained in the validation dataset should be extended to a larger cohort of patient to further validate our method.Clinical Relevance— to personalize treatment of patients with metastastic colorectal cancer, based on the likelihood of response to chemotherapy of each liver metastasis.

The aim of the study is to present a new Convolutional Neural Network (CNN) based system for the automatic segmentation of the colorectal cancer. The algorithm implemented consists of several steps: a pre-processing to normalize and highlights the tumoral area, the classification based on CNNs, and a post-processing aimed at reducing false positive elements. The classification is performed using three CNNs: each of them classifies the same regions of interest acquired from three different MR sequences. The final segmentation mask is obtained by a majority voting. Performances were evaluated using a semi-automatic segmentation revised by an experienced radiologist as reference standard. The system obtained Dice Similarity Coefficient (DSC) of 0.60, Precision (Pr) of 0.76 and Recall (Re) of 0.55 on the testing set. After applying the leave-one-out validation, we obtained a median DSC=0.58, Pr=0.74, Re=0.54. The promising results obtained by this system, if validated on a larger dataset, could strongly improve personalized medicine.

In this study we investigated whether combining external visualizations with extreme case reasoning may facilitate developing of conceptual understanding about wave optics. For purposes of answering our research question we conducted a pretest-posttest quasi-experiment which included 179 students from a first year introductory physics course at the University of Zagreb, Croatia. Students who were guided through extreme case reasoning in their wave optics seminars significantly outperformed their peers who received conventional teaching treatment. Findings from our study suggest that combining external visualizations with extreme case reasoning facilitates development of visually rich internal representations which are a good basis for performing mental simulations about wave optics phenomena. In addition, it has been also found that many students use the “ closer to the source implicates greater effect ” p-prim when reasoning about certain relationships, such as the relationship between fringes’ dimension and slits-screen separation.

Background: Cochlear dysfunction can arise not only from various factors such as ear diseases but also from systemic disorders of the body. The occurrence of otologic symptoms such as hearing loss, dizziness, and tinnitus can be due to cardiovascular disorders. Therefore, current understandings in the field of the diagnosis and therapy of cardiovascular diseases (CVDs) should include, among others, evidence of otologic disorders. Objective: The aim of this study is to determine the association between risk factors for CVD and cochlear dysfunction. Methods: The cross-sectional study included 128 participants with major CVD risk factors who underwent auditory function examination (pure tone audiometry). Results: There were 52 women (40.6%) and 76 men (59.4%) in total. The mean age of the participants was 58 years (a range of 28–83 years). The mean age among participants with hearing loss was 60 (±10.88), whereas the mean age among participants that had normal hearing thresholds was 54 (±12.18). Sensorineural hearing loss (SNHL) was measured in 59% of participants, of most frequent mild degree hearing loss. The prevalence of SNHL was higher in participants with arterial hypertension (P < 0.001, OR = 5.881, 95% CI 2.694–12.837) and the most common among them was moderate degree hearing impairment (38%). There is also a statistically significant association of SNHL with dyslipidemia and elevated body mass index (P < 0.001, [OR]: 4.118, 95% [CI]: 1.873–9.053 and P< 0.001, [OR]: 1.517, 95% [CI]: 1.237–1.859 ) with moderate and profound hearing loss. Conclusion: Based on the data obtained, it seems that the presence of major cardiovascular risk factors was a significant predictor for cochlear dysfunction.

Background: Hereditary transthyretin amyloidosis (hATTR) is an autosomal dominantly inherited disorder caused by an accumulation of amyloid fibrils in tissues due to mutations in the transthyretin (TTR) gene. The prevalence of hATTR is still unclear and likely underestimated in many countries. In order to apply new therapies in a targeted manner, early diagnosis and knowledge of phenotype-genotype correlations are mandatory. This study aimed to assess the prevalence and phenotypic spectrum of hATTR in Austria. Methods: Within the period of 2014–2019, patients with ATTR-associated cardiomyopathy and/or unexplained progressive polyneuropathies were screened for mutations in the TTR gene. Results: We identified 43 cases from 22 families carrying 10 different TTR missense mutations and confirmed two mutational hot spots at c.323A>G (p.His108Arg) and c.337G>C (p.Val113Leu). Two further patients with late onset ATTR carried TTR variants of unknown significance. The majority of patients initially presented with heart failure symptoms that were subsequently accompanied by progressive polyneuropathy in most cases. A total of 55% had a history of carpal tunnel syndrome before the onset of other organ manifestations. Conclusions: Our study underlined the relevance of hATTR in the pathogenesis of amyloid-driven cardiomyopathy and axonal polyneuropathy and indicated considerable genetic heterogeneity of this disease in the Austrian population. The estimated prevalence of hATTR in Austria based on this study is 1:200,000 but a potentially higher number of unknown cases must be taken into account. With respect to new therapeutic approaches, we strongly propose genetic testing of the TTR gene in an extended cohort of patients with unexplained heart failure and progressive polyneuropathy.