Miracle-dz/UniFAR-FTUs huggingface dataset:
NPARS—A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science

Background: Accuracy and reproducibility are vital in science and presents a significant challenge in the emerging discipline of data science, especially when the data are scientifically complex and massive in size. Further complicating matters, in the field of genomic-based science high-throughput sequencing technologies generate considerable amounts of data that needs to be stored, manipulated, and analyzed using a plethora of software tools. Researchers are rarely able to reproduce published genomic studies. Results: Presented is a novel approach which facilitates accuracy and reproducibility for large genomic research data sets. All data needed is loaded into a portable local database, which serves as an interface for well-known software frameworks. These include python-based Jupyter Notebooks and the use of RStudio projects and R markdown. All software is encapsulated using Docker containers and managed by Git, simplifying software configuration management. Conclusion: Accuracy and reproducibility in science is of a paramount importance. For the biomedical sciences, advances in high throughput technologies, molecular biology and quantitative methods are providing unprecedented insights into disease mechanisms. With these insights come the associated challenge of scientific data that is complex and massive in size. This makes collaboration, verification, validation, and reproducibility of findings difficult. To address these challenges the NGS post-pipeline accuracy and reproducibility system (NPARS) was developed. NPARS is a robust software infrastructure and methodology that can encapsulate data, code, and reporting for large genomic studies. This paper demonstrates the successful use of NPARS on large and complex genomic data sets across different computational platforms.
Advances in Research on the Mechanism of Heterosis in Plants

Heterosis is a common biological phenomenon in nature. It substantially contributes to the biomass yield and grain yield of plants. Moreover, this phenomenon results in high economic returns in agricultural production. However, the utilization of heterosis far exceeds the level of theoretical research on this phenomenon. In this review, the recent progress in research on heterosis in plants was reviewed from the aspects of classical genetics, parental genetic distance, quantitative trait loci, transcriptomes, proteomes, epigenetics (DNA methylation, histone modification, and small RNA), and hormone regulation. A regulatory network of various heterosis-related genes under the action of different regulatory factors was summarized. This review lays a foundation for the in-depth study of the molecular and physiological aspects of this phenomenon to promote its effects on increasing the yield of agricultural production.
The Stress-Active Cell Division Protein ZapE Alters FtsZ Filament Architecture to Facilitate Division in Escherichia coli

During pathogenic infections, bacterial cells experience environmental stress conditions, including low oxygen and thermal stress. Bacterial cells proliferate during infection and divide by a mechanism characterized by the assembly of a large cytoskeletal structure at the division site called the Z-ring. The major protein constituting the Z-ring is FtsZ, a tubulin homolog and GTPase that utilizes the nucleotide to assemble into dynamic polymers. In Escherichia coli, many cell division proteins interact with FtsZ and modulate Z-ring assembly, while others direct cell wall insertion and peptidoglycan remodeling. Here, we show that ZapE, an ATPase that accumulates during late constriction, directly interacts with FtsZ and phospholipids in vitro. In the presence of adenosine triphosphate (ATP), ZapE induces bundling of GTP-induced FtsZ polymers; however, ZapE also binds FtsZ in the absence of GTP. The ZapE mutant protein ZapE(K84A), which is defective for ATP hydrolysis, also interacts with FtsZ and induces FtsZ filament bundling. In vivo, cultures of zapE deletion cells contain a low percentage of filamentous cells, suggesting that they have a modest division defect; however, they are able to grow when exposed to stress, such as high temperature and limited oxygen. When combined with the chromosomal deletion of minC, which encodes an FtsZ disassembly factor, ΔzapE ΔminC cells experience growth delays that slow proliferation at high temperature and prevent recovery. This synthetic slow growth phenotype after exposure to stress suggests that ZapE may function to ensure proliferation during and after stress, and this is exacerbated when cells are also deleted for minC. Expression of either ZapE or ZapE(K84A) complements the aberrant growth phenotypes in vivo suggesting that the division-associated role of ZapE does not require ZapE ATP hydrolysis. These results support that ZapE is a stress-regulated cell division protein that interacts directly with FtsZ and phospholipids, promoting growth and division after exposure to environmental stress.
SMART SHOPPING TROLLEY WITH BILLING SYSTEM USING IOT AND BLYNK APP

: A Smart Trolley is mandatory tool for shopping in supermarkets or grocery stores. We've been pushing the shopping trolley since 1937, cities expanded people multiplied but the trolley still unchanged. In this busy world waiting in long queue during shopping it is extremely irritating and this consumes lots of time of customers in the malls and shops. Introducing the smart shopping Trolley using Nodemcu, LCD, RFID reader, LCD & motor driver. The smart Trolley is self-service payment terminal just shop, pay and pass the queues. RFID reader reads the product information and sends to webserver created using Nodemcu. The trolley is controlled by joystick created using Blynk app over Wi-Fi. Nodemcu read the signals and send commands to driver circuit to drive the motor in forward, left, right and reverse direction.
Intrinsic Activity of Some Oxygen and Hydrogen Evolution Reaction Electrocatalysts under Industrially Relevant Conditions

Water electrolysis to produce hydrogen fuel is one of the most important processes to optimize on the way to sustainable energy provision schemes. Its efficiency in both alkaline and acidic media is drastically limited by the sluggish kinetics of the oxygen evolution reaction (OER) taking place at the anode side of modern electrolyzers. Numerous electrocatalysts have been proposed recently to increase the activity of the anodes; most of them are transition metal oxides and perovskite materials. However, the activities reported in the literature for these electrodes are in the majority of cases measured at low overpotentials, low or moderate current densities (often 10–50 mA cm–2), relatively diluted electrolytes (e.g., 0.1 M KOH), and room temperatures. However, commercial electrolyzers operate at current densities that are at least 1 order of magnitude larger, elevated temperatures, and significantly higher pHs. To enable new generation of electrocatalysts, it is important to evaluate their intrinsic act.
NDS_A_252342 87..95

Department of Psychiatry, Faculty of Medicine, Institute of Health, Jimma University, Jimma, Oromia, Ethiopia Background: Global acute malnutrition is one of the major contributors to the death of young children. It accounts for about 35% to 55% of all childhood deaths in lowand middle-income countries. However, there have been limited studies examining the relationship between global acute malnutrition and women’s involvement in decision-making, and nutrition-related knowledge in the locality. Patients and Methods: A case–control study was conducted from March to April 2018. The sample size was determined using Epi Info statistical software, and a total of 234 children with their parents involved in the study. Childs’ height was measured using a stadiometer, and a digital weight scale was used to measure child weight. Weight-forheight Z-score (WHZ) was computed using the World Health Organization (WHO) Anthro Software. Women’s involvement in household decision-making was assessed using the household decision-making index. Socio-demographic and maternal nutrition-related knowledge were assessed using a structured questionnaire. Data entry and statistical analysis were done using EpiData 3.1 and Statistical Package for Social Science 24.0 (SPSS). Statistically, a significant association was declared by adjusted odds ratio (AOR), 95% confidence interval (CI), and P-value less than or equal to 0.05. Results: About three-fifths of mothers whose children were cases had poor nutrition-related knowledge regarding optimal child feeding. The study found poor maternal nutrition-related knowledge (AOR 5.16, 95% CI (1.9, 13.96)), not attending formal education (AOR 4.98, 95% CI (2.09, 11.82)), lack of maternal involvement in household decision-making (AOR 4.68, 95% CI (1.99, 10.97)), and lowest wealth index (AOR 3.76, 95% CI (1.24, 11.38)) as independent predictors. Conclusion and Recommendation: Maternal nutrition-related knowledge, maternal educational status, and involvement in household decision-making were found to be independent predictors of child global acute malnutrition. Emphasis needs to be given in strengthening girls’ education, nutrition education, household economic strengthening activities, and women empowerment in decision-making.
Measuring The Performance of Fund Managers with The Multiple Criteria Decision Making Method

The performance of the funds has always been important for investors and has affected their investment preferences. Different factors such as managers' characters or performances has come to the fore in evaluation of funds' performance with the developments of behavioral finance field. For this reason, the relationship between managers' characters or performances and funds' performance has become the focus of researchers besides the effect of other outputs. For this purpose, it was aimed to measure the performances of fund managers who worked as stock fund managers in every year between 2008-2017. In addition, it was aimed to look for the answer to the question of are the success of managers continue by the years. In this context, the return of manager (%), Sharpe ratio, downside capture ratio and upside capture ratio were preferred as performance indicators of fund managers. The determined indicators were calculated with the help of the Finnet Analysis Expert program. TOPSIS method, which is one of the multi-criteria decision-making methods, was used to rank the performance of fund managers using these indicators. Calculations related to the TOPSIS method were made with Microsoft Excel. As a result, 15 fund managers, who were worked as manager between the relevant years consistently, were identified with the help of Finnet Analysis Expert program. An empirical finding was provided to the statement that no fund manager can show high performance for all years expressed theoretically in the literature. In a word, it was found that the success of the fund managers is mostly accidental.
Deposition of titanium based coatings by reactive detonation spraying

Abstract The structure and mechanical properties of the coatings formed by reactive detonation spraying of titanium in a wide range of spraying conditions were studied. The variable deposition parameters were the nature of the carrier gas, the spraying distance, the O2/C2H2 ratio, and the volume of the explosive mixture. The phase composition of the coatings and the influence of the spraying parameters on the mechanical properties of the coatings were investigated. In addition, nanohardness of the individual phases contained the coatings was evaluated. It was found that the composition of the strengthening phases in the coatings depends on the O2/C2H2 ratio and the nature of the carrier gas. Detonation spraying conditions ensuring the formation of composite coatings with a set of improved mechanical properties are discussed.
Preference and Performance of the Pine-Tree Lappet Dendrolimus pini on Various Pine Species

Global commercial and recreational transport may lead to the unintentional invasion of insect species, which in turn may pose a threat to native organisms. In this study, we aimed to assess whether the economically important pest of Pinus sylvestris L. , moth Dendrolimus pini L. (DP), is able to feed on nine other pine species, and how this will affect its survival, performance, growth, and development. We carried out food choice tests and a no-choice laboratory feeding experiment. We found that this insect mostly preferred its prime host, but also Pinus cembra L. , Pinus contorta Douglas ex Loudon, Pinus nigra J.F. Arnold, and Pinus ponderosa Douglas ex C.Lawson. The performance test revealed a host-specific response of DP to the host plant. This response was manifested in a large variation in body mass as well as in a decrease or increase in life-history traits, such as fecundity, and wing morphology parameters. However, the larvae’s choice of particular hosts corresponded to the results of the performance test. Larvae more willingly selected food allowing better results in their performance. Larvae achieved better values of growth and development when fed on European and North American pine species or on species with two- and three-needle fascicles. In addition, attractants and repellents in needles of different pine species were chemically analyzed. Variations in the secondary metabolite composition as well as the specific leaf area of different pine species effectively explained the results found in the insects, but the content of sugars and nitrogen remains to be elucidated. We speculate that DP poses a serious threat to large areas of pine forests, if transferred, as it can survive and develop on many economically important tree species in North America and Europe.
LOCALLY CONSERVATIVE SERENDIPITY FINITE ELEMENT SOLUTIONS FOR ELLIPTIC EQUATIONS

In this paper, we post-process an eight-nodes-serendipity finite element solution for elliptic equations. In the post-processing procedure, we first construct a control volume for each node in the serendipity finite element mesh, then we enlarge the serendipity finite element space by adding some appropriate element-wise bubbles and require the novel solution to satisfy the local conservation law on each control volume. Our post-processing procedure can be implemented in a parallel computing environment and its computational cost is proportional to the cardinality of the serendipity elements. Moreover, both our theoretical analysis and numerical examples show that the postprocessed solution converges to the exact solution with optimal convergence rates both under H1 and L2 norms. A numerical experiment for a single-phase porous media problem validates the necessity of the post-processing procedure.
Enterprise Modeling and Organizational Learning: An Interpretative Study

Organizations often employ process improvements and reengineering efforts to achieve operations efficiency. In this context, the enterprise modeling (EM) approach is used to facilitate process analysis and design. This paper discusses how EM tools and techniques have been applied to an airport passenger check-in domain to augment management decisions in operations and to address organizational issues. Our results demonstrate the usefulness of EM as a systematic and scientific approach to support knowledge-intensive work in operations analysis, management and planning, as well as organizational learning (OL)
Radiation processing for cultural heritage preservation – Romanian experience

Abstract Radiation sterilization has been considered a mass decontamination technique for biodegradable cultural heritage (CH) since its widespread application in the medical field. Initial experiments have revealed advantages, for example, efficiency and effectiveness, but also disadvantages, namely “side effects” concerning CH materials. More than 50 years later, the adequacy of ionizing radiation for some CH artefacts is still the subject of discussion. The main reason why is that science and industry are not yet able to provide a more efficient technique for treating mass decontamination. For wooden items, there is general agreement that the irradiation dose required for insect eradication is not damaging, even in the case of polychromed wood. For cellulose pulp (paper), there is a reduction in polymerization degree (DP) at the high doses necessary to stop the attack of fungi, but this should be considered taking into account the purpose of the treatment. Emergency or rescue treatments are necessary to mitigate the consequences of accidents or improper storage conditions. In some cases (archives), the value of written information is greater than the historical value of the paper support. For other materials, namely textiles, leather and parchment, less research has been published on the effect of ionizing radiation treatment. As a general rule, irradiation is not necessary when only a few CH elements are present that are affected by biological contamination since restorers can solve the problem by classical means. The need for radiation treatment arises when large collections (hundreds, thousands or even more elements) are heavily affected by the biological attack. In Romania, the IRASM gamma irradiator of IFIN-HH is receiving an increasing number of requests for CH treatment, mainly due to an intensive research programme concerning this topic and close liaison with CH owners or administrators. Besides reviewing the scientific results obtained in Romania and abroad, this paper presents some examples from experiences in Romania.
The Aesthetic Stance_Brincker_Springer_MB2

What does it mean to be an aesthetic beholder? Is it different than simply being a perceiver? Most theories of aesthetic perception focus on 1) features of the perceived object and its presentation or 2) on psychological evaluative or emotional responses and intentions of perceiver and artist. In this chapter I propose that we need to look at the process of engaged perception itself, and further that this temporal process of becoming a beholder must be understood in its embodied, contextual and dynamic specificity. Through both phenomenological and neuroscientific explorations I analyze what is characteristic about a more “aesthetic stance” and argue that there is a certain asymmetry between beholder and beheld, which has to do with a disengagement of goaldirected action, and which allows for other kinds of perceptual involvement than in a more “practical stance”. It is a multi-disciplinary project integrating a sensorimotor notion of aesthetic affordances, 18th century philosophy, and large-scale brain network findings. What ensues is a new dynamic framework for future empirical and theoretical research on aesthetic perception.
Chimera: exploiting UAS flight path information to optimize heterogeneous data transmission

Unmanned Aerial Systems (UAS) collect and transmit data such as live video and radar images, which have different latency and reliability requirements, over wireless links that exhibit much performance variability. In this paper, we make three contributions. First, we show through a characterization of two real-world UAS flight datasets that there is significant opportunity to optimize data transmission in UAS settings by exploiting knowledge of UAS flight paths. Second, we developed Chimera, a system that taps into this opportunity while transmitting heterogeneous data streams over UAS networks. Chimera learns a model online that relates UAS network throughput to the flight path, and combines the model with a control framework that optimizes transmissions based on long-range throughput prediction. Third, with a combination of emulation and simulation experiments using real-world flight traces, we show Chimera’s effectiveness. Specifically, Chimera reduces penalties related to dropped radar images by 72.4%−100% compared to an algorithm agnostic to flight path information, and achieves an average bitrate of 90.5% compared to an optimal scheme that knows the exact future throughput, with only a minimal increase in radar images dropped.
Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification

One of the ways to fighting toxicity online is to automatically rewrite toxic messages. This is a sequence-to-sequence task, and the easiest way of solving it is to train an encoder-decoder model on a set of parallel sentences (pairs of sentences with the same meaning, where one is offensive and the other is not). However, such data does not exist, making researchers resort to non-parallel corpora. We close this gap by suggesting a crowdsourcing scenario for creating a parallel dataset of detoxifying paraphrases. In our first experiments, we collect paraphrases for 1,200 toxic sentences. We describe and analyse the crowdsourcing setup and the resulting corpus.
A Lightweight Framework for Online Voice Activity Detection in the Wild

Voice activity detection (VAD) is an essential pre-processing component for speech-related tasks such as automatic speech recognition (ASR). Traditional VAD systems require strong frame-level supervision for training, inhibiting their performance in real-world test scenarios. Previously, the general-purpose VAD (GPVAD) framework has been proposed to enhance noise robustness signiﬁcantly. However, GPVAD models are comparatively large and only work for ofﬂine evaluation. This work proposes the use of a knowledge distillation framework, where a (large, ofﬂine) teacher model provides frame-level supervision to a (light, online) student model. Our experiments verify that our proposed lightweight student models outperform GPVAD on all test sets, including clean, synthetic and real-world scenarios. Our smallest student model only uses 2.2% of the parameters and 15.9% duration cost of our teacher model for inference when evaluated on a Raspberry Pi.
Association between β2-Adrenoreceptor Medications and Risk of Parkinson’s Disease: A Meta-Analysis

Background and Objective: Parkinson’s disease (PD) is a progressive neurological disorder characterized by an accumulation of Lewy bodies and degeneration of dopaminergic neurons in the substantia nigra. The treatment options currently available are only partly effective and fail to restore the lost dopaminergic neurons or slow the progression. β2-adrenoceptors (β2AR) are widely expressed in various human tissues and organs, regulate many important metabolic functions, and are targeted for treatment of various diseases. Studies have reported a link between chronic use of the β2AR antagonist propranolol and an increased risk of PD, and chronic use of β2AR agonists has been associated with a decreased risk of PD. We conducted a meta-analysis on the association between both β2AR agonist level and β2AR antagonist level and the risk of PD. Materials and Methods: A comprehensive electronic search was conducted on the databases of PubMed, ScienceDirect, ProQuest, Cochrane Library, and ClinicalKey from the start of each database until 30 June 2021. The objective was to identify prospective cohort and case–control studies that have reported on the association between β-adrenoceptor agonist level, antagonist level, and PD risk. Results: A meta-analysis of the data extracted from eight studies revealed that β2AR agonist use was associated with reduced PD risk (RR = 0.859, 95% confidence interval [CI] 0.741–0.995. p = 0.043). Compared with the control group, β2AR antagonist use was associated with an increased risk of PD (RR = 1.490, 95% CI, 1.195 to 1.857. p < 0.005). Propranolol, a type of β2AR antagonist, was related to an increased risk of PD (RR = 2.820, 95% CI, 2.618 to 3.036. p < 0.005). Conclusions: In this meta-analysis, β2AR agonists were associated with a decreased risk of PD, and β2AR antagonists were related with an increased risk of PD. However, further studies with larger sample sizes and an evaluation of the long-term effects of varying dosages of medications are needed.