Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis, Crystal Structure, and Biological Activity of Ethyl 4-Methyl-2,2-dioxo-1H-2λ6,1-benzothiazine-3-carboxylate Polymorphic Forms

Continuing the search for new potential analgesics among the derivatives of 4-methyl-2,2-dioxo-1H-2λ6,1-benzothiazine-3-carboxylic acid, the possibility of obtaining its esters by the alkylation of the corresponding sodium salt with iodoethane in dimethyl sulfoxide (DMSO) at room temperature was studied. It was found that under such conditions, together with the oxygen atom of the carboxyl group, a heteroatom of nitrogen is also alkylated. Therefore, the product of the reaction studied is a mixture of ethyl 4-methyl-2,2-dioxo-1H-2λ6,1-benzothiazine-3-carboxylate (major) and its 1-ethyl-substituted analog (minor). A simple but very effective method of preparative separation of these compounds was proposed. Moreover, the heterogeneous crystallization from ethanol was revealed to result in a monoclinic polymorphic form of ethyl 4-methyl-2,2-dioxo-1H-2λ6,1-benzothiazine-3-carboxylate, while the homogeneous crystallization results in its orthorhombic form. The molecular and crystal structures of both forms were confirmed by X-ray diffraction analysis, and the phase purity by powder diffraction study. The pharmacological tests carried out on the model of a carrageenan edema showed that the screening dose of 20 mg/kg of 1-ethyl-substituted ester and the orthorhombic form of its analog unsubstituted in position 1 exhibited weak anti-inflammatory and moderate analgesic effects. At the same time, the monoclinic form of ethyl 4-methyl-2,2-dioxo-1H-2λ6,1-benzothiazine-3-carboxylate appeared to be both a powerful analgesic and an anti-inflammatory agent that exceeded Piroxicam and Meloxicam in the same doses by these indicators. A detailed comparative analysis of the molecular and crystal structures of two polymorphic forms of ethyl 4-methyl-2,2-dioxo-1H-2λ6,1-benzothiazine-3-carboxylate was carried out using quantum chemical calculations of the energies of pairwise interactions between molecules. An explanation of the essential differences of their biological properties based on this was offered.
A Survey of Parallel Sequential Pattern Mining

With the growing popularity of shared resources, large volumes of complex data of different types are collected automatically. Traditional data mining algorithms generally have problems and challenges including huge memory cost, low processing speed, and inadequate hard disk space. As a fundamental task of data mining, sequential pattern mining (SPM) is used in a wide variety of real-life applications. However, it is more complex and challenging than other pattern mining tasks, i.e., frequent itemset mining and association rule mining, and also suffers from the above challenges when handling the large-scale data. To solve these problems, mining sequential patterns in a parallel or distributed computing environment has emerged as an important issue with many applications. In this article, an in-depth survey of the current status of parallel SPM (PSPM) is investigated and provided, including detailed categorization of traditional serial SPM approaches, and state-of-the art PSPM. We review the related work of PSPM in details including partition-based algorithms for PSPM, apriori-based PSPM, pattern-growth-based PSPM, and hybrid algorithms for PSPM, and provide deep description (i.e., characteristics, advantages, disadvantages, and summarization) of these parallel approaches of PSPM. Some advanced topics for PSPM, including parallel quantitative/weighted/utility SPM, PSPM from uncertain data and stream data, hardware acceleration for PSPM, are further reviewed in details. Besides, we review and provide some well-known open-source software of PSPM. Finally, we summarize some challenges and opportunities of PSPM in the big data era.
Correlations between polymorphisms in the uridine diphosphate-glucuronosyltransferase 1A and C-C motif chemokine receptor 5 genes and infection with the hepatitis B virus in three ethnic groups in China

Objective To determine whether genetic polymorphisms in the uridine diphosphate-glucuronosyltransferase 1A (UGT1A) and the C-C motif chemokine receptor 5 (CCR5) genes are associated with hepatitis B virus (HBV) infection in Yi, Yao and Han ethnic groups in the Guizhou Province of China. Methods The study enrolled subjects with and without HBV infection. Whole blood was used for DNA genotyping using standard techniques. The study determined the frequencies of several polymorphic alleles (UGT1A6 [rs2070959], UGT1A1 [rs8175347], CCR5-59029 [rs1799987] and CCR5Δ32 [rs333]) and then characterized their relationship with HBV infection. Results A total of 404 subjects were enrolled in the study: 138 from the Yao group, 101 from the Yi group and 165 from the Han group. There was a significant difference in the frequency of UGT1A1 rs8175347 polymorphisms among the three groups. The rates of 7TA carriers of UGT1A1 rs8175347 in all three groups were significantly higher than the other genotypes. Individuals with genotype AA of UGT1A6 rs2070959 in the Yi group had a higher risk for HBV infection than in the Yao and Han groups. The frequency of genotype GG in CCR5-59029 in the Yao group was significantly higher than in the Yi group. The genotypes of CCR5Δ32 were not associated with HBV infection. Conclusion These findings provide genetic and epidemiological evidence for an association of UGT1A and CCR5-59029 polymorphisms with HBV infection in Chinese Yi and Yao populations.
Bianet: A Parallel News Corpus in Turkish, Kurdish and English

We present a new open-source parallel corpus consisting of news articles collected from the Bianet magazine, an online newspaper that publishes Turkish news, often along with their translations in English and Kurdish. In this paper, we describe the collection process of the corpus and its statistical properties. We validate the benefit of using the Bianet corpus by evaluating bilingual and multilingual neural machine translation models in English-Turkish and English-Kurdish directions.
The relevance of restrained eating behavior for circadian eating patterns in adolescents

Background Restrained Eating, i.e. the tendency to restrict dietary intake to control body-weight, often emerges during adolescence and may result in changes in circadian eating patterns. Objective The objective of the present investigation was to determine the cross-sectional relevance of restrained eating for characteristics of circadian eating pattern in adolescents and whether changes in restrained eating are accompanied by concurrent changes in circadian eating pattern over the course of adolescence. Methods Two questionnaires assessing restrained eating (Score 0–30) with parallel 3-day weighed dietary records from two different time points were available from 209 (♂:101, ♀:108) 11–18 year old adolescents of the DONALD study. Mixed linear regression models were used to analyze whether restrained eating was associated with eating occasion frequency, snack frequency and morning and evening energy intake [in % of daily energy intake, %E]. Linear regression models were used to examine whether changes in restrained eating were associated with changes in the mentioned variables. Results Among girls, greater restrained eating was cross-sectionally associated with higher morning energy intake (p = 0.03). Further, there was a tendency towards lower evening energy intake with higher levels of restrained eating for the whole sample (p = 0.06). No cross-sectional associations were found with eating occasion or snack frequency. Each one-point increase in restrained eating during adolescence was related to a concurrent decrease in eating occasion frequency by 0.04 (95% CI -0.08; -0.01, p = 0.02) and in evening energy intake by 0.36%E (95% CI -0.70; -0.03, p = 0.04). A tendency towards decreasing snack frequency with increasing restrained eating was observed (β = -0.03, 95% CI -0.07; 0.00, p = 0.07). No association was found between changes in restrained eating and concurrent changes in morning energy intake. Conclusion We found indications for cross-sectional and prospective associations between restrained eating and chronobiological aspects of food intake in adolescents. Our results suggest that restrained eating should be considered a relevant determinant of circadian eating patterns.
Effects of Light Quality and Intensity on Diurnal Patterns and Rates of Photo-Assimilate Translocation and Transpiration in Tomato Leaves

Translocation of assimilates is a fundamental process involving carbon and water balance affecting source/sink relationships. Diurnal patterns of CO2 exchange, translocation (carbon export), and transpiration of an intact tomato source leaf were determined during 14CO2 steady-state labeling under different wavelengths at three pre-set photosynthetic rates. Daily patterns showed that photosynthesis and export were supported by all wavelengths of light tested including orange and green. Export in the light, under all wavelengths was always higher than that at night. Export in the light varied from 65–83% of the total daily carbon fixed, depending on light intensity. Photosynthesis and export were highly correlated under all wavelengths (r = 0.90–0.96). Export as a percentage of photosynthesis (relative export) decreased as photosynthesis increased by increasing light intensity under all wavelengths. These data indicate an upper limit for export under all spectral conditions. Interestingly, only at the medium photosynthetic rate, relative export under the blue and the orange light-emitting diodes (LEDs) were higher than under white and red-white LEDs. Stomatal conductance, transpiration rates, and water-use-efficiency showed similar daily patterns under all wavelengths. Illuminating tomato leaves with different spectral quality resulted in similar carbon export rates, but stomatal conductance and transpiration rates varied due to wavelength specific control of stomatal function. Thus, we caution that the link between transpiration and C-export may be more complex than previously thought. In summary, these data indicate that orange and green LEDs, not simply the traditionally used red and blue LEDs, should be considered and tested when designing lighting systems for optimizing source leaf strength during plant production in controlled environment systems. In addition, knowledge related to the interplay between water and C-movement within a plant and how they are affected by environmental stimuli, is needed to develop a better understanding of source/sink relationships.
Women’s Mid-Life Night Sweats and 2-Year Bone Mineral Density Changes: A Prospective, Observational Population-Based Investigation from the Canadian Multicentre Osteoporosis Study (CaMos)

Women’s hot flushes and night sweats, collectively called vasomotor symptoms (VMS), are maximal (79%) in late perimenopause. The evidence describing whether VMS are associated with loss of areal bone mineral density (BMD) is mixed. We examined baseline and 2-year data for 1570 randomly selected women aged 43–63 in the Canadian Multicentre Osteoporosis Study (CaMos), a prospective Canada-wide study; we used linear regression to assess the relationship of night sweats (VMSn) with BMD and its changes. Clinically important VMSn occurred for 12.2%. Women with VMSn were slightly younger (54.5 vs. 55.3 years, p = 0.02) and less likely to use sex steroid therapies (39.8% vs. 51.4%, p < 0.05). BMD at the lumbar spine (L1-4), femoral neck (FN) and total hip (TH) were similar between those with/without VMSn. In adjusted models, we did not find a significant association between VMSn and 2-year change in L1-4, FN and TH BMD. Age, reproductive status, weight, sex steroid therapy and smoking status were associated with 2-year change in BMD. Incident fractures over 2 years also did not differ by VMSn. Our analyses were restricted to VMSn and may not truly capture the relationship between VMS and BMD. Additional research involving VMS, bone loss and fracture incidence is needed.
What are the similarities and differences between healthy people with and without pain?

Abstract Background and aims: Knowledge of pain characteristics among the healthy population or among people with minimal pain-related disability could hold important insights to inform clinical practice and research. This study investigated pain prevalence among healthy individuals and compared psychosocial and physical characteristics between adults with and without pain. Methods: Data were from 1,000 self-reported healthy participants aged 3–101 years (1,000 Norms Project). Single-item questions assessed recent bodily pain (“none” to “very severe”) and chronic pain (pain every day for 3 months in the previous 6 months). Assessment of Quality of Life (AQoL) instrument, New Generalised Self-Efficacy Scale, International Physical Activity Questionnaire, 6-min walk test, 30-s chair stand and timed up-and-down stairs tests were compared between adults with and without pain. Results: Seventy-two percent of adults and 49% of children had experienced recent pain, although most rated their pain as mild (80% and 87%, respectively). Adults with recent pain were more likely to be overweight/obese and report sleep difficulties, and had lower self-efficacy, AQoL mental super dimension scores and sit-to-stand performance, compared to adults with no pain (p<0.05). Effect sizes were modest (Cohen’s d=0.16–0.39), therefore unlikely clinically significant. Chronic pain was reported by 15% of adults and 3% of children. Adults with chronic pain were older, more likely to be overweight/obese, and had lower AQoL mental super dimension scores, 6-min walk, sit-to-stand and stair-climbing performance (p<0.05). Again, effect sizes were modest (Cohen’s d=0.25–0.40). Conclusions: Mild pain is common among healthy individuals. Adults who consider themselves healthy but experience pain (recent/chronic) display slightly lower mental health and physical performance, although these differences are unlikely clinically significant. Implications: These findings emphasise the importance of assessing pain-related disability in addition to prevalence when considering the disease burden of pain. Early assessment of broader health and lifestyle risk factors in clinical practice is emphasised. Avenues for future research include examination of whether lower mental health and physical performance represent risk factors for future pain and whether physical activity levels, sleep and self-efficacy are protective against chronic pain-related disability.
LabVIEW based Software-Defined Physical/MAC layer architecture for prototyping dense LTE Networks

We propose to adopt and extend the Software Defined Networking (SDN) paradigm to manage interference within dense heterogeneous deployments of wireless network cells. Specifically, we present a network architecture and the initial research results we have achieved by using software-defined physical and MAC layers to build a small scale LTE testbed. To build the testbed presented in this paper, we have used LabVIEW and the open-source NS-3 LENA LTE stack for real time emulation of dense deployments. The testbed has been designed to serve as a powerful validation and demonstration tool for algorithms pro- posed within the framework of the CROWD project for tack- ling the challenges of dense and heterogeneous wireless deployments. Our testbed specifically allows to study the performance of cross layer PHY/MAC control algorithms within a realistic cellular environment.
q-Neurons: Neuron Activations Based on Stochastic Jackson’s Derivative Operators

We propose a new generic type of artificial neurons called <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-neurons. A <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-neuron is a stochastic neuron with its activation function relying on Jackson’s discrete <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-derivative for a stochastic parameter <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>. We show how to generalize neural network architectures with <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-neurons and demonstrate the scalability and ease of implementation of <inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>-neurons into legacy deep learning frameworks. We report experimental results that consistently improve performance over state-of-the-art standard activation functions, both on training and test loss functions.
In Vitro Evaluation of Antioxidant and Antimicrobial Activities of Melaleuca alternifolia Essential Oil

The in vitro antioxidant and antimicrobial activity of the essential oil from Melaleuca alternifolia (M. alternifolia) was evaluated in this report. The antioxidant potential of the essential oil from M. alternifolia was evaluated by the DPPH (2,2-diphenyl-1-picrylhydrazyl) method, thiobarbituric acid reactive species (TBARS) assay, and the hydroxyl radical scavenging activity method. The essential oil from M. alternifolia was able to reduce DPPH with an EC50 (concentration for 50% of maximal effect) of 48.35 μg/ml, inhibit the lipid peroxidation with an IC50 (50% inhibitory concentration) of 135.9 μg/ml, and eliminate hydroxyl radicals with an EC50 of 43.71 μg/ml. Antimicrobial screening, minimum inhibitory concentration, and minimum bactericidal concentration assays showed that the essential oil from M. alternifolia inhibited strongly the growth of different types of microorganisms, including Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, Penicillium italicum Wehmer, and Penicillium digitatum Sacc. Thus, the essential oil of M. alternifolia possesses antioxidant and antimicrobial activity and could be suitable for use as a natural preservative ingredient in food, agriculture, and pharmaceutical industries.
A Game of the Throne of Saint Peter

In the Roman Catholic Church, the pope is elected by the (cardinal) electors through “scrutiny,” where each elector casts an anonymous nomination. Using historical documents, we argue that a guiding principle for the church has been the protection of electors from the temptation to defy God through dishonest nomination. Based on axiomatic analysis involving this principle, we recommend that the church overturn the changes of Pope Pius XII (1945) to reinstate the scrutiny of Pope Gregory XV (1621), and argue that randomization in the case of deadlock merits consideration.
Movement, depth and temperature preferences of an important bycatch species, Arctic skate Amblyraja hyperborea, in Cumberland Sound, Canadian Arctic

Climate change and increasing exploitation of resources are threats to Arctic marine species. Knowledge of vertical and horizontal movements of species is critical to understand their spatial ecology to inform effective ecosystem-based management. Recently, Arctic skate Am bly - raja hyperborea, a largely unstudied, cold water, deep-dwelling species has become a common bycatch species in groundfish fisheries throughout the Arctic. To investigate Arctic skate move- ment, depth and temperature preferences, 9 adults were tagged with pop-off archival transmitting tags in Cumberland Sound, Canadian Arctic, in August 2010 and August 2011 for 40 to 100 d. Of the 9 individuals tagged, 5 transmitted reliable data to satellites. Arctic skate occupied waters between 1.2 and 2.9°C (2.5 ± 0.1°C; mean ± SD) and 317 and 1355 m (944 ± 154 m). Tags popped off within a 37 km straight-line distance from the tagging location, indicating limited horizontal dispersal during the pre-ice formation period of late summer and early winter. Although mixed- effect models indicated that occupied depth varied with the diel cycle, the relationship was weak and depth variation was small, suggesting diel vertical migration does not appear to be a common strategy. Activity levels, estimated from detailed time series depth profiles, indicated multiple behaviours from resting to large depth changes (>150 m per 0.5 h). Given the levels of bycatch of this species in developing Arctic fisheries, overlap in habitat with the commercially valuable Greenland halibut Reinhardtius hippoglossoides and historical declines of skate populations, it is recommended that the IUCN Red List designation of 'Least Concern' for the Arctic skate be re-evaluated.
Serotonin Selectively Increases Detectability of Motion Stimuli in the Electrosensory System

Abstract Serotonergic innervation of sensory areas is found ubiquitously across the central nervous system of vertebrates. Here, we used a system’s level approach to investigate the role of serotonin on processing motion stimuli in the electrosensory system of the weakly electric fish Apteronotus albifrons. We found that exogenous serotonin application increased the firing activity of pyramidal neural responses to both looming and receding motion. Separating spikes belonging to bursts from those that were isolated revealed that this effect was primarily due to increased burst firing. Moreover, when investigating whether firing activity during stimulation could be discriminated from baseline (i.e., in the absence of stimulation), we found that serotonin increased stimulus discriminability only for some stimuli. This is because increased burst firing was most prominent for these. Further, the effects of serotonin were highly heterogeneous, with some neurons displaying large while others instead displaying minimal changes in responsiveness following serotonin application. Further analysis revealed that serotonin application had the greatest effect on neurons with low baseline firing rates and little to no effect on neurons with high baseline firing rates. Finally, the effects of serotonin on sensory neuron responses were largely independent of object velocity. Our results therefore reveal a novel function for the serotonergic system in selectively enhancing discriminability for motion stimuli.
Classification Framework for the Parallel Hash Join with a Performance Analysis on the GPU

The hash join operator is one of the most important relational operators in database applications and a prominent research topic in the domain of parallel processing. However, up to date, no consistent algorithm design guidelines for high-performance implementations on parallel platforms have been derived from the available experimental results. In this work we define a taxonomy of the parallel hash join operator landscape and categorize state of the art research accordingly. Moreover, we implement and benchmark three taxonomy types: A sequential implementation on the CPU, a hybrid CPU-GPU implementation as well as a fully parallel version on the GPU. The results show that (1) the hybrid CPU- GPU type outperforms the other two, showcasing the benefits of a good fit between algorithm type and hardware platform choice, (2) the poor end-to-end performance of the GPU-only type highlights the impact of GPU specific synchronization and contention issues that appear with an unfit design choice, (3) parallelization improves runtime by a factor of 2.2X in the end-to-end algorithm, a factor of 83X in the join phase and shows good scaling behavior with increasing number of threads. This proves that the GPU is a valuable co-processor option for computation offloading in database applications. We anticipate this classification framework to be a starting-point for design decisions for parallel big data hash join operators on other heterogeneous systems.