Miracle-dz/UniFAR-FTUs huggingface dataset:
Domain Heuristics for Evolutionary Scheduling of No-Wait Flow Shops

This paper addresses a multiobjective no-wait flow shop scheduling problem (MO-NWFSP) by a memetic algorithm (MA). The objective is to minimize makespan and maximum tardiness in a Pareto way. In the local search part of MA, we incorporate two domain heuristics into the shaking step and the neighborhood function. Before doing local search to a solution in the population, a tail-shaking operator is applied, in which we tend to move jobs with shorter total processing time to the end. During local search, we tend to adjust the processing orders of jobs whose constituted sub-sequence leads to longer machine idle time. Performance of the proposed heuristics was verified by numerical experiments on self-generated instances based on the well-known Taillard’s data set. Results showed that the proposed heuristics helped to improve solution quality.
The Role of Caspase-2 in Regulating Cell Fate

Caspase-2 is the most evolutionarily conserved member of the mammalian caspase family and has been implicated in both apoptotic and non-apoptotic signaling pathways, including tumor suppression, cell cycle regulation, and DNA repair. A myriad of signaling molecules is associated with the tight regulation of caspase-2 to mediate multiple cellular processes far beyond apoptotic cell death. This review provides a comprehensive overview of the literature pertaining to possible sophisticated molecular mechanisms underlying the multifaceted process of caspase-2 activation and to highlight its interplay between factors that promote or suppress apoptosis in a complicated regulatory network that determines the fate of a cell from its birth and throughout its life.
Draft Genome Sequence of Streptococcus anginosus UMB7768, Isolated from a Woman with Recurrent UTI Symptoms

Streptococcus anginosus recently was implicated as a pathogen involved in urinary tract infections. A strain of S. anginosus was isolated from the female urogenital tract. Here, we present the draft genome sequence of S. anginosus strain UMB7768. ABSTRACT Streptococcus anginosus recently was implicated as a pathogen involved in urinary tract infections. A strain of S. anginosus was isolated from the female urogenital tract. Here, we present the draft genome sequence of S. anginosus strain UMB7768.
Expression of imprinted genes surrounding the callipyge mutation in ovine skeletal muscle

The callipyge mutation in sheep results in postnatal hypertrophy and leanness of skeletal muscles in the pelvic limbs and loins. Associated changes also occur in the expression of a number of imprinted genes flanking the site of the mutation, which lies at the telomeric end of ovine chromosome 18. The transcripts from several of these genes are either spliced or undergo substantial RNA processing, sometimes in a very complex manner. The current investigation examined the effects of the callipyge mutation on the relative expression of some of these splice variants in samples taken: at birth, when the muscle hypertrophy phenotype is not expressed; and at 12 weeks of age, when the phenotype is fully apparent. It was concluded that changes in the postnatal developmental expression pattern of Dlk-1 are closely associated with the expression of the phenotype and that the callipyge mutation may promote a fetal-like gene expression program for some genes during postnatal life.
Partial Purification And Characterization Of Polyphenoloxidase From Turkish Tea Leaf (Camellia Sinensis L.)

Polyphenoloxidase was isolated from tea leaf, Camellia sinensis (L.) O. Kuntze grown in Turkey and its biochemical characteristics were studied. Polyphenoloxidase was extracted and partially purified by ion-exchange chromatography on a column packed with diethyaminoethyl cellulose. The optimum temperature and pH of polyphenoloxidase were found to be 30oC and 6.0, respectively. Heat stability of tea leaf polyphenoloxidase decreased as the temperatures increased from 30 to 80oC. Tea leaf polyphenoloxidase contained several phenolic compounds as substrate and sensitive to inhibitors such as ascorbic acid, cysteine, oxalic acid, and citric acid.
A Virtual 3D Dynamic Model of Caries Lesion Progression as a Learning Object for Caries Detection Training and Teaching: Video Development Study

Background In the last decade, 3D virtual models have been used for educational purposes in the health sciences, specifically for teaching human anatomy and pathology. These models provide an opportunity to didactically visualize key spatial relations that can be poorly understood when taught by traditional educational approaches. Caries lesion detection is a crucial process in dentistry that has been reported to be difficult to learn. One especially difficult aspect is linking clinical characteristics of the different severity stages with their histological features, which is fundamental for treatment decision-making. Objective This project was designed to develop a virtual 3D digital model of caries lesion formation and progression to aid the detection of lesions at different severity stages as a potential complement to traditional lectures. Methods Pedagogical planning, including identification of objectives, exploration of the degree of difficulty of caries diagnosis–associated topics perceived by dental students and lecturers, review of the literature regarding key concepts, and consultation of experts, was performed prior to constructing the model. An educational script strategy was created based on the topics to be addressed (dental tissues, biofilm stagnation areas, the demineralization process, caries lesion progression on occlusal surfaces, clinical characteristics related to different stages of caries progression, and histological correlations). Virtual 3D models were developed using the Virtual Man Project and refined using multiple 3D software applications. In the next phase, computer graphic modelling and previsualization were executed. After that, the video was revised and edited based on suggestions. Finally, explanatory subtitles were generated, the models were textured and rendered, and voiceovers in 3 languages were implemented. Results We developed a 6-minute virtual 3D dynamic video in 3 languages (English, Spanish, and Brazilian Portuguese) intended for dentists and dental students to support teaching and learning of caries lesion detection. The videos were made available on YouTube; to date, they have received more than 100,000 views. Conclusions Complementary pedagogical tools are valuable to support cariology education. This tool will be further tested in terms of utility and usability as well as user satisfaction in achieving the proposed objectives in specific contexts.
Dinâmica celular e microbiológica do leite de ovelhas Santa Inês acompanhadas durante a lactação

The aim of this study was to evaluate the dynamics of intramammary infection in ewes by means of clinical examination, direct somatic cell count and the isolation of bacterial agents involved in the process during lactation, as well as the sensitivity profile of these isolates to different antimicrobials. Thirty four ewes from the Santa Ines breed, raised under semi-intensive conditions and submitted to identical sanitary and nutritional management were evaluated before and after parturition, about 10 days before parturition, 15 days after parturition (dap), 30 dap, 60 dap and 90 dap (weaning). In the respective phases a clinical exam of the mammary gland was accomplished. The direct somatic cell count (SCC) and the California Mastitis Test (CMT) were carried out in the phases postpartum (15 dap, 30 dap, 60 dap and 90 dap) as well as the bacteriological analysis which was also accomplished in the experimental phase that preceded parturition when the ewes were not milked. Milk sampling was achieved by manual means. All ewes were submitted to lentivirus serology test. The variable data of SCC were tested for normality according to Kolmogorov-Smirnov and not attended the premise of normality were transformed into log base 10 (Log10). Therefore was performed the analysis of variance and contrast of means by Tukey test with significance level of P<0.05. A descriptive study of the variables studied was done by frequency distribution (%). The average somatic cell count in negative reactions to the CMT varied 387.896,08 cells/mL to 620.611,11 cells/mL and glands reagents ranged up to 6.730. 514,50 cells/mL, but there was no influence in the different stages of lactation. The results allowed to conclude that subclinical mastitis represents a sanitary concern in the breeding of Santa Ines ewes. The phase that precedes parturition is particularly worrying and deserves more attention since there is a higher bacterial isolation percentage in apparently healthy glands. In association, it was also in the first 30 days of lactation (initial phase) that a high frequency of bacterial isolation was perceived, with coagulase-negative Staphylococcus as the agent isolated in higher percentage
The bloom-forming ciliate Mesodinium rubrum harbours a single permanent endosymbiont

Abstract Whether the red tide Mesodinium rubrum contains a permanent cryptophyte symbiont or whether it only sequesters chloroplasts from cryptophyte prey was addressed using electron microscopy and the dynamics of photosynthesis, chloroplasts and nuclei. Mesodinium rubrum contains a branched cryptophyte symbiont consisting of many chloroplasts, mitochondria, nucleomorphs, an endoplasmic reticulum and one nucleus. The volume of the symbiont constitutes 36% of the consortium and it is separated from its host by a single-cell membrane. The chloroplasts of Mesodium are larger and morphologically different from two Teleaulax species that served as prey. The symbiont nucleus is also much larger than Teleaulax nuclei. Although M. rubrum is functionally a phototroph, sustained growth beyond two to four generations requires ingestion of prey, but less than one prey cell per generation suffices for maximum growth. This suggests that either the ciliate or its symbiont needs an essential growth factor for continuous growth.
Ultrahigh Branching of Main‐Chain‐Functionalized Polyethylenes by Inverted Insertion Selectivity

Abstract Branched polyolefin microstructures resulting from so‐called “chain walking” are a fascinating feature of late transition metal catalysts; however, to date it has not been demonstrated how desirable branched polyolefin microstructures can be generated thereby. We demonstrate how highly branched polyethylenes with methyl branches (220 Me/1000 C) exclusively and very high molecular weights (ca. 106 g mol−1), reaching the branch density and microstructure of commercial ethylene–propylene elastomers, can be generated from ethylene alone. At the same time, polar groups on the main chain can be generated by in‐chain incorporation of methyl acrylate. Key to this strategy is a novel rigid environment in an α‐diimine PdII catalyst with a steric constraint that allows for excessive chain walking and branching, but restricts branch formation to methyl branches, hinders chain transfer to afford a living polymerization, and inverts the regioselectivity of acrylate insertion to a 1,2‐mode.
Preliminary study on Se-enriched Lentinula edodes mycelium as a proposal of new feed additive in selenium deficiency

The presence of selenium in European soil is low and this causes its deficiency in livestock and, in consequence, in humans. This study aimed to obtain Lentinula (L.) edodes mycelium with the maximum content of selenium. This species was used for experiment based on its documented medicinal properties. Calves were fed with selenium-enriched L. edodes mycelium, and serum selenium concentration, average daily weight gains and selected immune parameters were estimated. The selenium-enriched mushroom was found to be safe based on cytotoxicity tests (MTT and LDH tests) and for this reason it was used for further experiments. The mean quantity of selenium in the serum of calves fed with selenium-enriched L. edodes mycelium was significantly higher than that of control calves. Additionally, the calves fed with selenium-enriched L. edodes mycelium had higher body weight gains than those of control calves. White blood cell counts and subpopulations of lymphocytes in the experimental and control calves were within the reference range. The administration of L. edodes enriched with selenium had a beneficial effect on state of health of the calves.
Inhibition of β-catenin-mediated transactivation by cadherin derivatives

We studied the effect of N-cadherin, and its free or membrane-anchored cytoplasmic domain, on the level and localization of β-catenin and on its ability to induce lymphocyte enhancer-binding factor 1 (LEF-1)-responsive transactivation. These cadherin derivatives formed complexes with β-catenin and protected it from degradation. N-cadherin directed β-catenin into adherens junctions, and the chimeric protein induced diffuse distribution of β-catenin along the membrane whereas the cytoplasmic domain of N-cadherin colocalized with β-catenin in the nucleus. Cotransfection of β-catenin and LEF-1 into Chinese hamster ovary cells induced transactivation of a LEF-1 reporter, which was blocked by the N-cadherin-derived molecules. Expression of N-cadherin and an interleukin 2 receptor/cadherin chimera in SW480 cells relocated β-catenin from the nucleus to the plasma membrane and reduced transactivation. The cytoplasmic tails of N- or E-cadherin colocalized with β-catenin in the nucleus, and suppressed the constitutive LEF-1-mediated transactivation, by blocking β-catenin–LEF-1 interaction. Moreover, the 72 C-terminal amino acids of N-cadherin stabilized β-catenin and reduced its transactivation potential. These results indicate that β-catenin binding to the cadherin cytoplasmic tail either in the membrane, or in the nucleus, can inhibit β-catenin degradation and efficiently block its transactivation capacity.
Research on Power Characteristics Matching of Electric Drive Crawler Bulldozer

According to the composition of the electric drive system of the electric drive crawler bulldozer, the basic parameters of the main components in the electromechanical transmission system were calculated by using theoretical knowledge. The original and improved electric drive crawler bulldozer were simulated and compared respectively by using ADVISOR simulation software in order to verify the power performance of the improved electric drive crawler bulldozer. The studying result shows that the improved drive motor can meet the load characteristics of the crawler bulldozer under the bulldozing conditions through theoretical analysis and simulation research, and the improved electric drive system can meet the power characteristics of the D320E electric drive crawler bulldozer.
Effects of temperature and nutrition on growth and flower-bud initiation in apricots

Abstract High temperatures in summer or winter increased the total branch length, branch numbers, and the number of nodes on young apricot trees. High nutrition promoted an increase in branch length, branch and node numbers, and flower-bud initiation. These latter responses seemed to be largely due to the level of nitrogen. There was no difference in response to nitrate, ammonia, or urea nitrogen. Growth and reproduction of apricot trees are discussed in relation to nutrition, light intensity, temperature, and water availability.
Sensitivity Analysis and Compression Opportunities in DNNs Using Weight Sharing

Deep artificial Neural Networks (DNNs) are currently one of the most intensively and widely used predictive models in the field of machine learning. However, the computational workload involved in DNNs is typically out of reach for low-power embedded devices. The approximate computing paradigm can be exploited to reduce the DNN complexity. It improves performance and energy-efficiency by relaxing the need for fully accurate operations. There are a large number of implementation options leveraging many approximation techniques (e.g., pruning, quantization, weight-sharing, low-rank factorization, knowledge distillation, etc.). However, to the best of our knowledge, a few or no automated approach exists to explore, select and generate the best approximate version of a given DNN according to design objectives. The goal of this paper is to demonstrate that the design space exploration phase can enable significant network compression without noticeable accuracy loss. We demonstrate this via an example based on weight sharing and show that our direct conversion method can obtain a 4.85x compression rate with 0.14% accuracy loss in ResNet18 and 4.91x compression rate with 0.44% accuracy loss in SqueezeNet without involving retraining steps.
A GRNN -Based Traffic Reconstruction Algorithm to Surface Wave-Based Power Line Communications

In power line communications, network traffic has the highly dynamic inherent nature. This leads to the huge challenge to accurately predict and estimate them. Accordingly, this results in new problem for power communication networks' traffic engineering and power scheduling task. This paper proposes a novel reconstruction approach to estimate dynamic traffic in surface wave-based power line communications based on the Generalized Regression Neural Network (GRNN) theory. Firstly, we use the GRNN theory to describe time-varying network traffic features. Then by considering the spatio-temporal correlation feature of network traffic, we construct the dynamic GRNN model to describe network traffic. Thirdly, we propose a new traffic reconstruction algorithm to estimate and predict network traffic in power line communications, based on the proposed model. Thus based on the proposed method, we can quickly estimate network traffic and obtain accurate estimation values. Simulation results show that our approach is feasible.
Design of Intelligent Marine Engine Room Simulation Test System Based on ZeroMQ Communication

Intelligent ships are the direction of future ship development, and their reliability has become the key to the development of this technology. In this paper, a simulation test system based on the marine engine room simulator is established to test the safety and stability of the intelligent application system for the intelligent ship. The test system uses the marine engine room simulator operating state to obtain test data, and uses ZeroMQ (Zero Message Queue) to establish a communication mechanism to realize data communication between the test system and the intelligent ship-related intelligent application system.
The Neandertal Progesterone Receptor

Abstract The hormone progesterone is important for preparing the uterine lining for egg implantation and for maintaining the early stages of pregnancy. The gene encoding the progesterone receptor (PGR) carries introgressed Neandertal haplotypes with two missense substitutions and a mobile Alu element. These Neandertal gene variants have reached nearly 20% frequency in non-Africans and have been associated with preterm birth. Here, we show that one of the missense substitutions appears fixed in Neandertals, while the other substitution as well as the Alu insertion were polymorphic among Neandertals. We show that two Neandertal haplotypes carrying the PGR gene entered the modern human population and that present-day carriers of the Neandertal haplotypes express higher levels of the receptor. In a cohort of present-day Britons, these carriers have more siblings, fewer miscarriages, and less bleeding during early pregnancy suggesting that the Neandertal progesterone receptor alleles promote fertility. This may explain their high frequency in modern human populations.
Maps4Learning: Enacting Geo-Education to Enhance Student Achievement

During the last few years, increasing emphasis has been given to geo-education in middle and high school curricula, transforming the way certain subjects are now taught to provide students with comprehensive knowledge about dynamics and interconnections in the world, which also rely on relevant geographic information. This is the case for history, geography, the earth sciences, and other subjects. However, so far, little has been done to provide adequate learning tools that can support such an important transformation. This paper proposes the integration of advanced geospatial technology in traditional interactive learning tools as a way to describe experiences that help students understand phenomena and improve their competencies. The system is the result of a usability engineering process aimed at providing users with an effective learning experience, iteratively analysing their expectations and needs with respect to geo-referenced content. The resulting learning environment, Maps4Learning, allows users to manage content in terms of learning objects named geoLO+, which are extended with spatial and temporal components and built according to standardized metadata. The system was tested in the context of a middle school programme. A usability study was carried out to analyse the impact of geoLO+ resources in terms of perceived quality, engagement, and student learning performance, and the outcomes of the resources were compared to the outcomes of traditional teaching methods. The results were encouraging and showed that learning improvement can indeed be achieved using Maps4Learning.
CloudPush: Smart Delivery of Push Notification to Secure Multi-User Support for IoT Devices

Internet of things (IoT) with a cloud server has become popular nowadays and it’s going to be used in almost every aspect of human life. All devices will be connected to the internet and can communicate with each other where cloud plays an import role in the IoT environment. However, often cloud-enabled IoT environments have potential security risks and do not have multi-user support. In this paper, we discuss an IoT push messaging framework named CloudPush framework consisting of a client application, IoT devices, and a cloud system. In this framework, IoT devices can work on an ad hoc network and send event notifications to the client applications through the cloud. We show that CloudPush framework has vulnerabilities while maintaining multiple user accounts between a client application and IoT device in the cloud. The client application can receive unintended and unauthorized notification messages due to the lack of managing multiple accounts properly in the cloud server. To ensure stability in this framework while sending push notifications through the cloud by IoT devices, we discuss potential vulnerabilities and their solutions in this paper. We demonstrate that the aggregated throughput of CloudPush framework is 12-15% better than IoTivity framework even though IoTivity does not support multi-user for an IoT resource and a client application. If IoT device’s events are sent to multiple client applications i.e. events are distributed among client applications, then the throughput of CloudPush framework increases to 12-25% compared with the IoTivity framework because the CloudPush framework runs optimized searching algorithm in cloud and scales event notifications in both cloud server and cloud push service layer. For a secured multi-user support, notification message data is encrypted that makes the CloudPush system 3-5% slower but still, it performs 9-12% better than the IoTivity framework.
A low complexity FPGA implementation of uplink SCMA decoder

Sparse code multiple access (SCMA) is a novel non- orthogonal multiple access (NOMA) scheme to face 5G communication, adopting message passing algorithm (MPA) to demodulate users’ message in the receiver. When LOG-MPA transfers MPA into log-domain, the expansion contains correction term suffering complicated calculation. In that case, a FPGA implementation Scheme is proposed on the basis of Maclaurin series, which retains correction term and has fewer iterations. The Simulation results show that proposed scheme can obtain closed BER performance to LOG-MPA, while possessing a lower complexity. Finally, FPGA verification on Vivado HDL platform proves the design has complete function and can be applied in practice.