Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical Activity and Transformational Leadership as Predictors of the Psychological Well-Being of Working Mothers

The psychological well-being (PWB) of working mothers has an important influence both for family well-being and work performance. The increasing number of working women, and the existence of various changes in work, require a new explanation of the predictors of working mothers’ PWB. The purpose of this study was to examine the model of personal and interpersonal factors related to the PWB of working mothers, as mediated by work-family balance (WFB). The hypothesis of this study was a theoretical model stating the influence of physical activities and transformational leadership on PWB, through WFB, in accordance with empirical data. The subjects of the study were 536 working mothers of children, coming from Muslim communities and working under the directions of supervisors. The data collection used the Psychological Well-Being Scale, the Work-Family Balance Scale, the Physical Activities Scale, and the Scale of Perception of Transformational Leadership. The data analysis used the Structural Equation Model (SEM). The research results showed that physical activities and transformational leadership proved to have an effect upon the PWB of working mothers, through WFB.
BIO-CONTROL ACTIVITY OF PLANT GROWTH PROMOTING RHIZOBACTERIA ON SCLEROTIUM ROLFSII

Crop productivity and crop improvement are colloidal components as the demand of the increasing population, worldwide for the provision of food from crops require dedicated agricultural strategies that tend to lean on natural, available and, beneficial, easily reproducible means of products. In general, the soil components rich in organic matter that can avail rich microbial community initiates agricultural productivity in abundance and in the way to deduce it. But, commercially available chemical pesticides, pollution in the environment, biotic and abiotic constituents are found to be the key components that stress the crop productivity. This can be overtaken by the microbes that can function as both “bio-fertilizer” and “antagonistic” agents, mentioned as Plant growth-promoting rhizobacteria(PGPR), as they present satisfactory, advantageous impact when ever required, due to their presence in the rhizospheric region, by providing nutrients uptake from soil and controlling the unnecessary hazardous bio-impact on plants . Present study relies on sustainable agricultural development that utilizes the bacteria from the rhizospheric region thereby recommending bio-formulation in the future to mobilize the unaware farmer for better productivity, free of devastating chemical components that enter the food chain via crop produced by using chemicals, and also by easy means without affecting the surrounding environment and human health. In this context, Sclerotium rolfsii, a deleterious pathogen that affects groundnut crops predominantly, how best can be prevented and can be suppressed by using beneficial PGPR is been studied.
ElChemo: A Cross-Domain Interoperability in a Chemical Plant

In this paper we propose a novel framework capable of establishing machine-to-machine (M2M) interactions between chemical and electrical systems in the industry. The semantic framework termed as ElChemo addresses the challenges in M2M interaction of entities from different silos, such as differences in the domains’ behaviour, the heterogeneities arising from different vocabularies and software. The OntoTwin ontology has been developed based on OntoPowSys and OntoEIP ontologies, which are parts of an intelligent platform called the "J-Park Simulator (JPS)". The ElChemo framework uses Description Logic (DL) and SPIN reasoning techniques to establish the interaction between the chemical and electrical systems in a plant. As use-case we study a depropaniser section of a chemical plant and its corresponding electrical system as a use case scenario to demonstrate the interoperability between the two si-los within the ElChemo framework. The results indicate that the proposed approach can achieve signiﬁcant economic beneﬁts.
Another SMEFT story : Z ′ facing new results on ε ′ / ε , ∆ M K and K → πνν̄

Recently the RBC-UKQCD lattice QCD collaboration presented new results for the hadronic matrix elements relevant for the ratio ε′/ε in the Standard Model (SM) albeit with significant uncertainties. With the present knowledge of the Wilson coefficients and isospin breaking effects there is still a sizable room left for new physics (NP) contributions to ε′/ε which could both enhance or suppress this ratio to agree with the data. The new SM value for the K0 − K̄0 mass difference ∆MK from RBC-UKQCD is on the other hand by 2σ above the data hinting for NP required to suppress ∆MK . Simultaneously the most recent results for K+ → π+νν̄ from NA62 and for KL → π0νν̄ from KOTO still allow for significant NP contributions. We point out that the suppression of ∆MK by NP requires the presence of new CP-violating phases with interesting implications for K → πνν̄, KS → μ+μ− and KL → π0`+`− decays. Considering a Z ′-scenario within the SMEFT we analyze the dependence of all these observables on the size of NP still allowed by the data on ε′/ε. The hinted ∆MK anomaly together with the εK constraint implies in the presence of only left-handed (LH) or right-handed (RH) flavour-violating Z ′ couplings strict correlation between K+ → π+νν̄ and KL → π0νν̄ branching ratios so that they are either simultaneously enhanced or suppressed relative to SM predictions. An anticorrelation can only be obtained in the presence of both LH and RH couplings. Interestingly, the NP QCD penguin scenario for ε′/ε is excluded by SMEFT renormalization group effects in εK so that NP effects in ε ′/ε are governed by electroweak penguins. We also investigate for the first time whether the presence of a heavy Z ′ with flavour violating couplings could generate through top Yukawa renormalization group effects FCNCs mediated by the SM Z-boson. The outcome turns out to be very interesting.
Temididiscussione del Servizio Studi Is There an Equity Premium Puzzle in Italy ? A Look at Asset Returns , Consumption and Financial Structure Data

This paper reconstructs the series of the real returns on Italian equities, bank and PO deposits and long-term government bonds from 1860 to today. In the long-run the return on shares was much higher than that on government securities and also that on bank and PO deposits. However, this summary assessment is considerably influenced by the exceptional falls in the real value of government securities and bank deposits caused by the hyperinflation that occurred in conjunction with the two world wars. Within the period, there were alternate phases, paralleling the economic cycle and the main institutional changes, in which t e return on shares was higher than those on the other two instruments and vice versa. Overall, the Italian equity market provided long-run returns to investors comparable to those of other major countries, although a large fraction of the risk premium for the whole period can be accounted for by the performance following of the hyperinflation episodes of the wars. However, the risk-return trade-off, owing to much larger volatility, compared unfavourably with other markets. Moreover, the Italian equity market in the last 30 years (up to 1994), when equity prices barely kept up with inflation, looks very different. The econometric analysis suggests the presence of an equity premium puzzle in Italy during the estimation period, 1892-1993. In contrast, for government securities the observed returns were approximately in line with the theoretical values. The estimates show that both the returns on government securities and those on shares include an inflation risk premium. For government securities, this was estimated at around 0.8 percentage points. The inflation risk premium was smaller for shares. (∗) Bank of Italy, Research Department.
Distribution and Seasonal Variation of Wood Peroxidase Activity in Oak ( Quercus Robur )

The distribution of peroxidase activity and the water and nitrogen content within the cross section of an oak trunk ( Quercus robur ) were measured. After a sharp decline in the outer sapwood, an increase of the peroxidase activity in the inner part of sapwood could be detected. This increase was followed by a sharp fall of the activity in the heartwood. In the inner part of the heartwood only small activity could be found. The quantitative data reported in this paper give for the first time strong evidence that peroxidase enzymes are involved in heartwood formation. The results support the findings of other authors that an increased enzymatic activity exists in the zone adjacent to the sapwood/heartwood junction. In addition the seasonal variation of peroxidase activity in the zone mentioned above was studied. A maximum of activity could be observed during the dormant season. The results indicate that heartwood formation in Quercus robur occurs mainly during this period.
Chinese and American female images – Comparing TV advertisement in 2010, 2015 and 2020

As a prominent part of study, female image in the mass media serve as a dimension that worth studying. The purpose of the project is to compare female images on TV commercials between China and the United States in 2010, 2015 and 2020 in a cross-cultural view. Research contains 125 American advertisements and 76 Chinese advertisements as 2 samples to represent the countries. Partly based on Bem Sex Role Inventory, the code table includes 6 sections: appearance, age, and occupation, dimension of product, occasion and personality. Both China and the US are in a transitional period from tradition to modernity, but manifested in different forms.
New-age vaccine adjuvants : Friend or foe?

Older vaccines made from live or killed whole organisms were effective, but suffered from high reactogenicity. As vaccine manufacturers developed safer, less reactogenic subunit vaccines, they found that with lower reactogenicity came reduced vaccine effectiveness. Somewhat ironically, the solution proposed to boost immunogenicity in modern vaccines is to add back immune-activating substances such as toll-like receptor agonists-the very same contaminants removed from old-style vaccines. This raises the question of whether the vaccine field is moving forward or backward. We propose that by avoiding adjuvants that work through toll-like receptor (TLR) pathways, and instead focusing on adjuvants stimulating Band T-cell immunity directly, one can minimize inflammatory cytokine production and consequent reactogenicity. We present data on a polysaccharide-based adjuvant candidate, Advax, that enhances immunogenicity without reactogenicity, suggesting that potent and well-tolerated vaccines for both adult and pediatric use are indeed possible.
Veriﬁable Delay Functions for Permissionless Replicated Systems

The prominent blockchain technology aims at implementing a public ”ledger”: a decentralized consistent history of transactions proposed by an open set of participating processes, with no static membership. This problem can be seen as an instance of fault-tolerant state-machine replication [19], prominent examples of which are the crash-tolerant Paxos protocol by Lamport [16] and the BFT (Byzantine fault-tolerant) system by Castro and Liskov [5]. These systems use instances of consensus protocols in order to ensure that users get consistent views of the system evolution. Principal downside of classical consensus protocols are lack of scalability and the need for a fixed or properly reconfigurable set of participants out of which only a bounded fraction (up to one third) can be faulty. This can be hard to ensure in an open (also called permissionless system, where an arbitrary fraction of participants can be controlled by the adversary [9]. Prominent blockchain protocols [18,20] achieve (nondeterministic) consistency by assuming that (1) the system is synchronous, (2) participants can use asymmetric cryptography, and (3) the adversary can control at most a minority (in practice, a minor fraction) of computing power. Intuitively, these assumptions are used to overcome the folklore CAP theorem [3, 10] stating that no system can combine Consistency, Availability, and Partition-Tolerance. In particular, these protocols avoid partitioning by enforcing the proof of work (PoW) mechanism requiring that a participant must solve a time-consuming cryptographic puzzle before updating the ledger. The resulting protocols are notoriously slow and energy-demanding. More recent blockchain prototypes propose to obviate the energy demands via using proof-of-stake [1, 13]. However, these solutions are subject to multiple attacks enabling forks, such as the ”nothing-at-stake attack”, where many miners are incentivized to extend every branch in a potential fork, and the ”long range attack”, where a long alternative branch is held privately by the adversary in order to overtake the longest chain. More recent proposals [7] resort to synchronous networks, rely on expensive cryptographic assumptions, and/or impose restrictions on honest players. An immediate question is whether these costs and assumptions are unavoidable. To mitigate these attacks and, possibly, improve performance, one may invest into verifiable delay functions (VDFs) [2], a recently proposed cryptographic mechanism based on puzzles that can only be solved sequentially, but without wasting energy on meaningless intensive computations. There is an evidence that VDFs can be used to replace PoW in Nakamoto consensus [17], however we still do not understand how this mechanism can be used in more general contexts.
Teledermatology Before, During, and After Covid-19: A Vital Tool to Improve Access and Equity in Specialty Care

The COVID-19 pandemic has placed unprecedented strains on our medical system as specialties have had to reconsider “essential” in-person services and find novel ways to remotely ensure continuity of care. One such modality of care includes telehealth services, which have experienced a rapid rise in utility with a reported 4,347% increase in telehealth visits from March 2019 to March 2020 [1]. Although used for decades, telemedicine has historically been limited by reimbursement, as well as systems adoption and maintenance costs. Physical distancing measures throughout the pandemic, however, necessitated essentially overnight adoption of insurance coverage in both public and private sectors. Dermatology is among the earliest and most well-suited specialties to adopt telemedicine given the visual nature of the specialty [2]. Since the onset of the COVID-19 pandemic, we have seen a radical uptake of teledermatology services across the nation. In this paper, we review the literature published to date highlighting the state of teledermatology prior to the pandemic, the policy changes that facilitated the rapid expansion of teledermatology services during the pandemic, and the impact this has had on our dermatologic practices now and moving forward.
Estimation of Oxygen Cylinder Availability and Classification of Its Types, Suitability Using Machine Learning and Data Analysis

This is break direction on oxygen sources and conveyance methodologies for COVID-19 treatment. It has been adjusted from WHO and UNICEF's specialized details and direction for oxygen treatment gadgets, which is important for the WHO clinical gadget specialized arrangement, 1 and depends on current information on the circumstance in China and different nations where cases have been distinguished. This direction is proposed for wellbeing office chairmen, clinical leaders, acquisition officials, arranging officials, biomedical architects, foundation engineers and strategy producers. It portrays how to: measure oxygen interest, to distinguish oxygen sources that are accessible, and select suitable flood sources to best react to COVID-19 patients' requirements, particularly in low-and-center pay nations. WHO will refresh these suggestions as new data opens up. Coronavirus pandemic spurred fake interest for oxygen gas chambers for clinical use - both at emergency clinics and inquisitively, for home use by patients. A few patients and surprisingly sound people investigate the conceivable outcomes and likely benefits of utilizing oxygen from chambers for private utilization. Be that as it may, this isn't continuously protected, and sufficient safety measures are to be taken, bombing which there can be fatalities. This paper investigates the significance of keeping up satisfactory degrees of oxygen levels appropriate for human utilization. It advises the clinical use and the advantages and disadvantages of putting away oxygen chambers at home. The investigation likewise addresses lawful and administrative perspectives. The investigation's discoveries can help people settle on an educated choice on the protected use regarding oxygen gas. Further, it cautions on the expanded significance of guidelines and limiting access and use. This paper aims at designing an oxygen level monitoring technique in an oxygen cylinder. The amount of oxygen present inside the oxygen cylinder is very vital information when such cylinder is in use for supply of oxygen to a critical patient. The amount of oxygen present inside the cylinder is measured by the pressure at the outlet nozzle. The pressure is measured using a high precision MEMS Pressure Sensor. The output of the MEMS pressure sensor is voltage of the order milli. An amplifier is used to amplify this milli volt signal. A microcontroller is used in cascade to process the signal and display the pressure of oxygen cylinder.
StarBLAST: a scalable BLAST+ solution for the classroom

Basic Local Alignment Search Tool (BLAST) (Madden, 2002) is a heuristic nucleotide and protein search tool frequently used in biological research to match sequences to those in a database. It is becoming increasingly common in classrooms, including the high schoolgrade level Shaffer et al. (2010) through the publicly accessible version, NCBI BLAST (Johnson et al., 2008). However, NCBI BLAST can become problematic in a classroom environment, as many job submissions from the same IP address may be throttled (IP block), response time may be slow, and users are unable to import custom databases. In addition, updates to NCBI databases may produce results incongruent with lesson plans. SequenceServer (Priyam et al., 2019) addresses some of these needs by providing a student-friendly, web-accessible interface of NCBI-BLAST+ (Camacho et al., 2009) and an expanded collection of BLAST tools, with options to use custom databases. However, SequenceServer does not address the scalability issues for large class sizes, and deploying the software is still difficult for instructors with minimal computational resources and technical expertise. To address these needs, we developed StarBLAST, a modular deployment strategy for SequenceServer that is suitable for a variety of technical skill-levels and classroom sizes. This is achieved by leveraging a master-worker framework for distributed and scalable computing using WorkQueue and Makeflow (Albrecht et al., 2012). WorkQueue manages jobs (compute tasks) to be distributed from a “Master” node to designated “Worker” nodes for completion. Its inherent scalability makes it functional for large and small classrooms. Through CyVerse VICE (Devisetty et al., 2016), an instructor can quickly deploy SequenceServer and databases on a web-based interface. Here, we describe the three deployable methods of StarBLAST that account for custom databases, classroom size, technical expertise, and computational resources.
From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

In this paper, we propose two novel AR glasses pose estimation algorithms from single infrared images by using 3D point clouds as an intermediate representation. Our first approach “PointsToRotation” is based on a Deep Neural Network alone, whereas our second approach “PointsToPose” is a hybrid model combining Deep Learning and a voting-based mechanism. Our methods utilize a point cloud estimator, which we trained on multi-view infrared images in a semi-supervised manner, generating point clouds based on one image only. We generate a point cloud dataset with our point cloud estimator using the HMDPose dataset, consisting of multi-view infrared images of various AR glasses with the corresponding 6-DoF poses. In comparison to another point cloud-based 6-DoF pose estimation named CloudPose, we achieve an error reduction of around 50%. Compared to a state-of-the-art image-based method, we reduce the pose estimation error by around 96%.
The FAST Galactic Plane Pulsar Snapshot survey: I. Project design and pulsar discoveries

Discovery of pulsars is one of the main goals for large radio telescopes. The Five-hundred-meter Aperture Spherical radio Telescope (FAST), that incorporates an L-band 19-beam receiver with a system temperature of about 20 K, is the most sensitive radio telescope utilized for discovering pulsars. We designed the snapshot observation mode for a FAST key science project, the Galactic Plane Pulsar Snapshot (GPPS) survey, in which every four nearby pointings can observe a cover of a sky patch of 0.1575 square degrees through beam-switching of the L-band 19-beam receiver. The integration time for each pointing is 300 seconds so that the GPPS observations for a cover can be made in 21 minutes. The goal of the GPPS survey is to discover pulsars within the Galactic latitude of ± 10° from the Galactic plane, and the highest priority is given to the inner Galaxy within ± 5°. Up to now, the GPPS survey has discovered 201 pulsars, including currently the faintest pulsars which cannot be detected by other telescopes, pulsars with extremely high dispersion measures (DMs) which challenge the currently widely used models for the Galactic electron density distribution, pulsars coincident with supernova remnants, 40 millisecond pulsars, 16 binary pulsars, some nulling and mode-changing pulsars and rotating radio transients (RRATs). The follow-up observations for confirmation of new pulsars have polarization-signals recorded for polarization profiles of the pulsars. Re-detection of previously known pulsars in the survey data also leads to significant improvements in parameters for 64 pulsars. The GPPS survey discoveries are published and will be updated at http://zmtt.bao. ac.cn/GPPS/.
Biphasic and Delayed Hypersensitivity Reactions : Implications for Oncology Nursing At a Glance

Oncology nurses are well versed in the administration of chemotherapy and management of associated side effects. The side effects range from mild and easily managed to severe and potentially dose limiting, such as hypersensitivity reactions (HSRs). Although severe HSRs are not common and can be seen with any agent, some treatments or medications are associated with much higher risks, such as monoclonal antibodies. Anaphylaxis usually is uniphasic in nature; however, 20% of reactions are biphasic, with symptoms resurging after initial resolution of the original reaction. Some reactions can be delayed, occurring after repeated infusions or presenting days to weeks after the original drug administration. For specific patients, a protracted period of anaphylaxis may occur beyond 24 hours. This article describes the proposed pathophysiology for biphasic and delayed HSRs, as well as management strategies for anaphylaxis. Case reports will illustrate patient presentations for biphasic and delayed HSRs. Oncology nurses must be aware of the risk for HSRs and understand the difference in presentation for biphasic and delayed anaphylactic reactions. Biphasic and Delayed Hypersensitivity Reactions: Implications for Oncology Nursing