Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial Intelligence and its Applications

In the future, automotive machines will replace mortal effectiveness in numerous areas. AI works as a computational tool that performs mortal intelligence like understanding and responding. In future the AI'll develop, so it can overthink further than a human can suppose. operation of artificial intelligence has a huge impact as it's used to break complex problems. For large and complex problems, AI algorithms consume considerable calculation time due to stochastic point-of-the- hunt approaches. thus, there's an implicit demand to develop an effective algorithm to find results under the limited coffers, time, and plutocrats in real-world operations. Artificial Intelligence is used in all fields like finance, drug, engineering, etc. This paper gives an overview of this technology and the operation areas of this technology. Keywords: Artificial Intelligence, Robotics, Automation, Algorithm.
Infantile Nephropathic Cystinosis in Sulaimani Pediatric Teaching Hospital: A Retrospective Cohort Study

Cystinosis is a rare metabolic autosomal recessive disorder which characterized by intralysosomal accumulation of cystine. There are three forms; infantile nephropathic is the commonest forms. to evaluate clinical presentations and outcome of infantile cystinosis. A retrospective cohort study conducted in Sulaimani Pediatric Teaching Hospital on 25 patients with infantile cystinosis during May 1, 2014, to June 1, 2017. This study has depended on clinical symptoms and signs, and corneal crystallization for the diagnosis of cystinosis. Gender of the patients was 13 (52%) females and 12 (48%) males. The ages were ranged between (1-12 years) with a mean age of (6.25 years). Eight (32%) patients were from Sulaimani city, but the other 17 (68%) patients were from outside of Sulaimani. Moreover, a 17 (68%) of them were Arabic and the other eight (32%) were Kurdish ethnic groups. The study showed a 20 (80%) positive consanguinity with 19 (76%) positive family history of infantile cystinosis. Additionally, the age of first presentations was between (0.25-2 years) with a mean of (0.8 years). Clinical features included a 100% for polyuria, polydipsia, and failure to thrive. Furthermore, 10 (40%) presented with constipation, 23 (92%) photophobia and 5 (20%) blond hair. Complications included 24 (96%) rickets, 14 (56%) renal insufficiency, 5 (20%) hypothyroidism, 4 (16%) genu valgum, 3 (12%) growth hormone deficiency, and 3 (12%) developed end-stage renal disease. Subsequently, two patients died (8%) due to end-stage renal disease. Finally, there was a statistically significant relationship between both renal insufficiency (P-value = 0.042) and hypothyroidism (P-value < 0.001) with Kurdish ethnicity. Conclusion: Incidence of cystinosis was high among consanguineous parents and those patients who had a positive family history of cystinosis. Furthermore, the delay in diagnosis was due to atypical presentations and unavailability of specific investigations.
Defining extended half‐life rFVIII—A critical review of the evidence

Recent haemophilia treatment advances include new recombinant FVIII (rFVIII) products with improved pharmacokinetic (PK) properties that aim to reduce the burden of prophylaxis. These treatments are commonly referred to as extended half‐life rFVIII products (EHL rFVIII). There is no uniform definition of what constitutes an EHL rFVIII. Such a definition would help physicians, patients and funders understand the properties of standard and EHL rFVIIIs and thus provide clarity when selecting an EHL in clinical settings.
A Novel Mechanism of Mesenchymal Stromal Cell-Mediated Protection against Sepsis: Restricting Inflammasome Activation in Macrophages by Increasing Mitophagy and Decreasing Mitochondrial ROS

Sepsis, a systemic inflammatory response to infection, is the leading cause of death in the intensive care unit (ICU). Previous studies indicated that mesenchymal stromal cells (MSCs) might have therapeutic potential against sepsis. The current study was designed to investigate the effects of MSCs on sepsis and the underlying mechanisms focusing on inflammasome activation in macrophages. The results demonstrated that the bone marrow-derived mesenchymal stem cells (BMSCs) significantly increased the survival rate and organ function in cecal ligation and puncture (CLP) mice compared with the control-grouped mice. BMSCs significantly restricted NLRP3 inflammasome activation, suppressed the generation of mitochondrial ROS, and decreased caspase-1 and IL-1β activation when cocultured with bone marrow-derived macrophages (BMDMs), the effects of which could be abolished by Mito-TEMPO. Furthermore, the expression levels of caspase-1, IL-1β, and IL-18 in BMDMs were elevated after treatment with mitophagy inhibitor 3-MA. Thus, BMSCs exert beneficial effects on inhibiting NLRP3 inflammasome activation in macrophages primarily via both enhancing mitophagy and decreasing mitochondrial ROS. These findings suggest that restricting inflammasome activation in macrophages by increasing mitophagy and decreasing mitochondrial ROS might be a crucial mechanism for MSCs to combat sepsis.
Effects of nanocrystallization of CuCr contact materials on characteristics of vacuum discharge

This paper studys the chopping current, stability and lifetime of the vacuum arc of nanocrystalline CuCr25 contact materials and CuCr50 contact materials when the peak current is in 10 A. The results show that the vacuum arc of nanocrystalline CuCr is more stable than that of conventional materials, the chopping current of nanocrystalline CuCr alloys is smaller than that of conventional alloys. Through theoretical analysis, we can know that the saturated steam pressure of nanocrystalline CuCr alloys is about 10 times that of conventional alloys. Nanocrystallization of CuCr alloys can effectively increase stability and lower chopping current.
Sharing-Aware Efficient Private Caching in Many-Core Server Processors

The general-purpose cache-coherent many-core server processors are usually designed with a per-core private cache hierarchy and a large shared multi-banked last-level cache (LLC). The round-trip latency and the volume of traffic through the on-die interconnect between the per-core private cache hierarchy and the shared LLC banks can be significantly large. As a result, optimized private caching is important in such architectures. Traditionally, the private cache hierarchy in these processors treats the private and the shared blocks equally. We, however, observe that elimination of all non-compulsory non-coherence core cache misses to a small subset of shared code and data blocks can save a large fraction of the core requests to the LLC indicating large potential for reducing the interconnect traffic in such architectures. We architect a specialized exclusive per-core private L2 cache which serves as a victim cache for the per-core private L1 cache. The proposed victim cache selectively captures a subset of the L1 cache victims. Our best selective victim caching proposal is driven by an online partitioning of the L1 cache victims based on two distinct features, namely, an estimate of sharing degree and an indirect simple estimate of reuse distance. Our proposal learns the collective reuse probability of the blocks in each partition on-the-fly and decides the victim caching candidates based on these probability estimates. Detailed simulation results on a 128-core system running a selected set of multi-threaded commercial and scientific computing applications show that our best victim cache design proposal at 64 KB capacity, on average, saves 44.1% core cache miss requests sent to the LLC and 10.6% execution cycles compared to a baseline system that has no private L2 cache. In contrast, a traditional 128 KB non-inclusive LRU L2 cache saves 42.2% core cache misses sent to the LLC compared to the same baseline while performing slightly worse than the proposed 64 KB victim cache. In summary, our proposal outperforms the traditional design and enjoys lower interconnect traffic while halving the space investment for the per-core private L2 cache. Further, the savings in core cache misses achieved due to introduction of the proposed victim cache are observed to be only 8% less than an optimal victim cache design at 32 KB and 64 KB capacity points.
G R ] 3 J un 2 01 0 Abstract simplicity of complete Kac-Moody groups over finite fields

Let G be a Kac-Moody group over a finite field corresponding to a generalized Cartan matrix A, as constructed by Tits. It is known that G admits the structure of a BN-pair, and acts on its corresponding building. We study the complete Kac-Moody group Ĝ which is defined to be the closure of G in the automorphism group of its building. Our main goal is to determine when complete Kac-Moody groups are abstractly simple, that is have no proper non-trivial normal subgroups. Abstract simplicity of Ĝ was previously known to hold when A is of affine type. We extend this result to many indefinite cases, including all hyperbolic generalized Cartan matrices A of rank at least four. Our proof uses Tits’ simplicity theorem for groups with a BN-pair and methods from the theory of pro-p groups.
Contribution of the b-ureidopropionase ( UPB 1 ) gene alterations to the development of fluoropyrimidine-related toxicity

Background: An impairment of the 5-fluorouracil (5-FU) catabolic pathway, represented by alterations in the dihydropyrimidine dehydrogenase (DPYD) gene, is considered a crucial factor contributing to the development of 5-FU-related toxicity. The b-ureidopropionase (BUP1) enzyme catalyzes the final step in the 5-FU catabolic pathway; however, alterations in the UPB1 gene coding for the BUP1 enzyme have not yet been analyzed in fluoropyrimidine (FP)-treated patients suffering from 5-FU-related toxicity. Methods: We have performed a mutation analysis of the entire coding sequence of UPB1 based on denaturing high-performance liquid chromatography in 113 cancer patients treated by FP-containing regimes. These patients included 67 individuals suffering from severe 5-FU-related toxicity and 46 individuals with excellent tolerance of chemotherapy. Results: Nine UPB1 variants were detected in the subpopulation of patients with severe toxicity, including a novel mutation affecting the coding sequence (c.872_873+11del13). An analysis of UPB1 variants on 5-FU-related toxicity in the population of all analyzed patients revealed an association between the c. -80C>G (rs2070474) variant and gastrointestinal toxicity. A strong positive correlation was found between the carriers of the c. -80 GG genotype and the development of severe (grade 3–4) mucositis (OR = 7.5; 95% CI = 2.60 – 21.60; p = 0.0002). Conclusion: Our results suggest that UPB1 variants may contribute to the development of 5-FU-related toxicity in some FP-treated patients; however, the role of UPB1 alterations is probably less significant than that of DPYD alterations.
Notice of RetractionA Study of the Employability-Based Talent Cultivating Pattern

Challenged by the educational system reform, changes in psychological contracts, boundaryless career development, and flattening organizational structure, employability has become the new talent standard. The employability-based talent cultivating pattern is a historical choice and is also possible in practice. Universities, companies, governmental agencies, and individuals should adopt measures in response to the individual employability development.
Adversarial Time-to-Event Modeling

Modern health data science applications leverage abundant molecular and electronic health data, providing opportunities for machine learning to build statistical models to support clinical practice. Time-to-event analysis, also called survival analysis, stands as one of the most representative examples of such statistical models. We present a deep-network-based approach that leverages adversarial learning to address a key challenge in modern time-to-event modeling: nonparametric estimation of event-time distributions. We also introduce a principled cost function to exploit information from censored events (events that occur subsequent to the observation window). Unlike most time-to-event models, we focus on the estimation of time-to-event distributions, rather than time ordering. We validate our model on both benchmark and real datasets, demonstrating that the proposed formulation yields significant performance gains relative to a parametric alternative, which we also propose.
Evolutionary ecology of Chagas disease; what do we know and what do we need?

The aetiological agent of Chagas disease, Trypanosoma cruzi, is a key human pathogen afflicting most populations of Latin America. This vectorborne parasite is transmitted by haematophageous triatomines, whose control by large‐scale insecticide spraying has been the main strategy to limit the impact of the disease for over 25 years. While those international initiatives have been successful in highly endemic areas, this systematic approach is now challenged by the emergence of insecticide resistance and by its low efficacy in controlling species that are only partially adapted to human habitat. In this contribution, we review evidences that Chagas disease control shall now be entering a second stage that will rely on a better understanding of triatomines adaptive potential, which requires promoting microevolutionary studies and –omic approaches. Concomitantly, we show that our knowledge of the determinants of the evolution of T. cruzi high diversity and low virulence remains too limiting to design evolution‐proof strategies, while such attributes may be part of the future of Chagas disease control after the 2020 WHO's target of regional elimination of intradomiciliary transmission has been reached. We should then aim at developing a theory of T. cruzi virulence evolution that we anticipate to provide an interesting enrichment of the general theory according to the specificities of transmission of this very generalist stercorarian trypanosome. We stress that many ecological data required to better understand selective pressures acting on vector and parasite populations are already available as they have been meticulously accumulated in the last century of field research. Although more specific information will surely be needed, an effective research strategy would be to integrate data into the conceptual and theoretical framework of evolutionary ecology and life‐history evolution that provide the quantitative backgrounds necessary to understand and possibly anticipate adaptive responses to public health interventions.
Twister:Net - Communication Library for Big Data Processing in HPC and Cloud Environments

Streaming processing and batch data processing are the dominant forms of big data analytics today, with numerous systems such as Hadoop, Spark, and Heron designed to process the ever-increasing explosion of data. Generally, these systems are developed as single projects with aspects such as communication, task management, and data management integrated together. By contrast, we take a component-based approach to big data by developing the essential features of a big data system as independent components with polymorphic implementations to support different requirements. Consequently, we recognize the requirements of both dataflow used in popular Apache Systems and the Bulk Synchronous Processing communication style common in High-Performance Computing (HPC) for different applications. Message Passing Interface (MPI) implementations are dominant in HPC but there are no such standard libraries available for big data. Twister:Net is a stand-alone, highly optimized dataflow style parallel communication library which can be used by big data systems or advanced users. Twister:Net can work both in cloud environments using TCP or HPC environments using MPI implementations. This paper introduces Twister:Net and compares it with existing systems to highlight its design and performance.
Non Digestible Oligosaccharides Modulate the Gut Microbiota to Control the Development of Leukemia and Associated Cachexia in Mice

We tested the hypothesis that changing the gut microbiota using pectic oligosaccharides (POS) or inulin (INU) differently modulates the progression of leukemia and related metabolic disorders. Mice were transplanted with Bcr-Abl-transfected proB lymphocytes mimicking leukemia and received either POS or INU in their diet (5%) for 2 weeks. Combination of pyrosequencing, PCR-DGGE and qPCR analyses of the 16S rRNA gene revealed that POS decreased microbial diversity and richness of caecal microbiota whereas it increased Bifidobacterium spp. , Roseburia spp. and Bacteroides spp. (affecting specifically B. dorei) to a higher extent than INU. INU supplementation increased the portal SCFA propionate and butyrate, and decreased cancer cell invasion in the liver. POS treatment did not affect hepatic cancer cell invasion, but was more efficient than INU to decrease the metabolic alterations. Indeed, POS better than INU delayed anorexia linked to cancer progression. In addition, POS treatment increased acetate in the caecal content, changed the fatty acid profile inside adipose tissue and counteracted the induction of markers controlling β-oxidation, thereby hampering fat mass loss. Non digestible carbohydrates with prebiotic properties may constitute a new nutritional strategy to modulate gut microbiota with positive consequences on cancer progression and associated cachexia.
Pasture, multi-enzymes, benzoic acid and essential oils positively influence performance, intestinal organ weight and egg quality in free-range laying hens

ABSTRACT 1. The objective of this study was to investigate the effect of range type, multi-enzyme applications, and a combination of benzoic acid (BA) and essential oils (EO) on the productive performance, organ weight and egg quality of free-range laying hens. 2. Three hundred laying hens were evaluated for the short-term (6 weeks) and long-term (12 weeks) effects of range type (G = no pasture, P = pasture) and feed additives (T1 = control; T2 = betaglucanase/pectinase/protease; T3 = BA/EO). Body weight, feed intake (FI), feed conversion ratio (FCR), egg production (EP), digestive organ weight, and egg quality (EQ) were evaluated. Data were analysed using SPSS 2.2 in a 2×2×3 factorial arrangement. 3. Hens that ranged on pasture were significantly heavier (2043 g vs. 1996 g; p < 0.001), laid heavier eggs (61.9 g vs. 60.3 g; p < 0.001) and produced darker yolk colour (4.3 vs. 7.0; p < 0.001) compared to hens ranged on gravel. Hens fed T2 were significantly heavier (2050 g) compared to hens fed T1 (2005 g) or T3 (2008 g). Organ weights (gizzard, liver and pancreas) were significantly heavier in hens ranged on pasture (16.8 g/kg BW, 22.3 g/kg BW and 1.89 g/kg BW, respectively) compared to hens ranged on gravel (14.2 g/kg BW, 21.7 g/kg BW and 1.83 g/kg BW, respectively). Over time, body weight (1970–2070 g; p < 0.001) and egg weight (59.5–62.8 g; p < 0.001) increased, FI (123–120 g; p = 0.024) was reduced and FCR (2.36–2.10; p = 0.002) improved 4. In conclusion, hens housed on pasture and fed multi-enzyme supplemented diets had significantly heavier body weight and produced heavier eggs with darker yolk colour. Pasture intake and enzyme supplementation increased digestive organ weight significantly.
Hearing Loss and Disability Exit: Measurement Issues and Coping Strategies

Using unique representative data containing self-reported functional and clinically measured hearing ability for the Danish population aged 50-64, we estimate the effect of hearing loss on receipt of disability benefits accounting for potential endogeneity of functional hearing. Our identification strategy involves simultaneous estimation of labor supply, functional hearing and coping strategies i.e. using assistive devices at work or informing one's employer about the problem. We find that functional hearing disability significantly increases the likelihood of receiving disability benefits for both men and women. Using assistive devices at the work place decreases the likelihood of going on disability for both genders, whereas telling the employer about the disability increases disability-related exit for both genders, but considerably more so for women.
Recent advances in applying mass spectrometry and systems biology to determine brain dynamics

ABSTRACT Introduction: Neurological disorders encompass various pathologies which disrupt normal brain physiology and function. Poor understanding of their underlying molecular mechanisms and their societal burden argues for the necessity of novel prevention strategies, early diagnostic techniques and alternative treatment options to reduce the scale of their expected increase. Areas covered: This review scrutinizes mass spectrometry based approaches used to investigate brain dynamics in various conditions, including neurodegenerative and neuropsychiatric disorders. Different proteomics workflows for isolation/enrichment of specific cell populations or brain regions, sample processing; mass spectrometry technologies, for differential proteome quantitation, analysis of post-translational modifications and imaging approaches in the brain are critically deliberated. Future directions, including analysis of cellular sub-compartments, targeted MS platforms (selected/parallel reaction monitoring) and use of mass cytometry are also discussed. Expert commentary: Here, we summarize and evaluate current mass spectrometry based approaches for determining brain dynamics in health and diseases states, with a focus on neurological disorders. Furthermore, we provide insight on current trends and new MS technologies with potential to improve this analysis.
Pathomechanisms of Oxidative Stress in Inflammatory Bowel Disease and Potential Antioxidant Therapies

Inflammatory bowel disease (IBD) is a chronic gastrointestinal disease whose incidence has risen worldwide in recent years. Accumulating evidence shows that oxidative stress plays an essential role in the pathogenesis and progression of IBD. This review highlights the generation of reactive oxygen species (ROS) and antioxidant defense mechanisms in the gastrointestinal (GI) tract, the involvement of oxidative stress signaling in the initiation and progression of IBD and its relationships with genetic susceptibility and the mucosal immune response. In addition, potential therapeutic strategies for IBD that target oxidative stress signaling are reviewed and discussed. Though substantial progress has been made in understanding the role of oxidative stress in IBD in humans and experimental animals, the underlying mechanisms are still not well defined. Thus, further studies are needed to validate how oxidative stress signaling is involved in and contributes to the development of IBD.