Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural and functional characteristics of soil microbial community in a Pinus massoniana forest at different elevations

Shifts in forest soil microbial communities over altitudinal gradients have long been attracting scientific interest. The distribution patterns of different soil microbial communities along altitudinal gradients in subtropical mountain forest ecosystems remain unclear. To better understand the changes in soil microbial communities along an altitude gradient, we used Illumina MiSeq metagenome sequencing technology to survey the soil microbial communities in a Pinus massoniana forest at four elevations (Mp1000, Mp1200, Mp1400, Mp1600) and in a tea garden in Guizhou Leigong Mountain in Southwestern China. We observed that the richness of bacteria, fungi, and viruses in the soil microbial community changed in a unimodal pattern with increasing elevation while that of Archaea first increased significantly, then decreased, and finally increased again. Euryarchaeota and Thaumarchaeota were the predominant Archaea, Proteobacteria and Acidobacteria were the predominant bacterial groups, Ascomycota and Basidiomycota were the predominant fungal groups, and Myoviridae, Podoviridae, and Siphoviridae were the predominant virus groups. Amino acid transport and metabolism, energy production and conversion, signal transduction mechanisms, and DNA replication, restructuring and repair were the predominant categories as per NOG function gene-annotation. Carbohydrate metabolism, global and overview map, amino acid metabolism, and energy metabolism were predominant categories in the KEGG pathways. Glycosyl transferase and glycoside hydrolase were predominant categories among carbohydrate enzyme-functional genes. Cluster, redundancy, and co-occurring network analyses showed obvious differences in the composition, structure, and function of different soil microbial communities along the altitudinal gradient studied. Our findings indicate that the different soil microbial communities along the altitudinal gradient have different distribution patterns, which may provide a better understanding of the mechanisms that determine microbial life in a mid-subtropical mountain forest ecosystem.
Website Quality Analysis as an Interactive Marketing Communication on Indonesia Halal Tourism Destination

This research aims to analyze the effectiveness of Indonesia halal tourism website as an interactive marketing communication media employed by the governmentto attract abroad/international moslem tourists. Another purpose of this research is to investigate whether tourist website quality affects abroad/international moslems’ intention to visit Indonesia. The research was conducted in qualitative approach of which data was gathered through focus group discussion (FGD) and online interview of 9 moslem informants. The assessment was based on literature research done by the researchers on 8 dimensions of halal tourism website. The result of this study revealed that Indonesia halal tourism website is perceived by the informants to still have many drawbacks and therefore can’t be yet declared as an ideal halal website. The finding contributes recommendation of more effective marketing communication to enhance halal tourism website quality to be more competitive.
Gastric Tract Disease Recognition Using Optimized Deep Learning Features

: Artificial intelligence aids for healthcare have received a great deal of attention. Approximately one million patients with gastrointestinal diseases have been diagnosed via wireless capsule endoscopy (WCE). Early diagnosis facilitates appropriate treatment and saves lives. Deep learning-based techniques have been used to identify gastrointestinal ulcers, bleeding sites, and polyps. However, small lesions may be misclassified. We developed a deep learning-based best-feature method to classify various stomach diseases evident in WCE images. Initially, we use hybrid contrast enhancement to dis-tinguish diseased from normal regions. Then, a pretrained model is fine-tuned, and further training is done via transfer learning. Deep features are extracted from the last two layers and fused using a vector length-based approach. We improve the genetic algorithm using a fitness function and kurtosis to select optimal features that are graded by a classifier. We evaluate a database containing 24,000 WCE images of ulcers, bleeding sites, polyps, and healthy tissue. The cubic support vector machine classifier was optimal; the average accuracy was 99%.
Theoretical Prediction of Phosphorene and Nanoribbons As Fast-Charging Li Ion Battery Anode Materials

Ideal Li-ion battery materials should have a low diffusion barrier, which can realize fast charging/discharging. Here, density function theory (DFT) computations were performed to investigate the possibility of phosphorene and its nanoribbons as anode materials for Li-ion battery. Both phosphorene and its nanoribbons are direct band gap semiconductors, and show semiconductor-to-metal transition upon lithiation with significant charge transfer. Importantly, the computed energy barrier of Li diffuses on phosphorene monolayer along zigzag direction is only 0.09 eV, which indicates the possibility of ultrafast charging/discharging. Furthermore, the fast Li ion mobility is robust and well kept in phosphorene nanoribbons. The ultrahigh Li-ion mobility well distinguishes phosphorene from other typical two-dimensional (2D) materials, such as graphene and MoS2, and makes phosphorene a promising anode material for Li ion batteries.
Triiodothyronine (T3) levels fluctuate in response to ambient temperature rather than nutritional status in a wild tropical ungulate

Animals can employ a range of physiological mechanisms in response to unpredictable changes within their environment, such as changes in food availability and human disturbances. For example, impala exhibit higher faecal glucocorticoid metabolite (FGM) levels—indicative of physiological stress—in response to low food quality and higher human disturbance. In this study, we measured faecal triiodothyronine (T3) metabolite (FTM) levels in 446 wild impala from 2016 to 2018 to test the hypothesis that environmental and human disturbances would affect their physiological status. We also validated a faecal thyroid hormone assay. T3 levels mainly regulate metabolic rate and drive thermoregulation—increasing with colder temperatures. We predicted that individuals would have lower FTM levels, indicative of poor physiological status, (i) when food quality was poor, (ii) when ambient temperature (Ta) was high, (iii) in areas of high human disturbance (due to food competition with livestock) and (iv) when FGM levels were high. Interestingly, we found that Ta was the most important predictor of FTM—FTM levels decreased by 70% from lowest to highest Ta—and food quality and human disturbance only influenced FTM levels when Ta was accounted for. FTM levels also tended to increase with increasing FGM levels, opposite our predictions. Our results suggest that food quality and availability may only partially influence FTM levels and that fluctuations in Ta are a significant driver of FTM levels in a wild tropical ungulate. Given that thyroid hormones are primarily responsible for regulating metabolic rate, they may be better indicators of how wild animals metabolically and energetically respond to environmental factors and only indicate poor nutritional status in extreme cases.
Low-dimensional boron nitride nanomaterials

Extensive studies of low-dimensional carbon nanomaterials have attracted tremendens attention to the allotropes of other elements.Boron nitride nanomaterials are structurally analogous to carbon nanomaterials,but possess quite different properties.Unlike metallic or semiconducting carbon nanotubes(CNTs),the boron nitride nanotubes(BNNTs)are electrical insulators,basically independent of their diameters and chirality.BNNTs possess high thermal conductivity,excellent mechanical properties,and high chemical stability.The same advantages are applicable to two-dimensional monolayerboron nitride sheets.These unique properties make BNNTs and BN sheets promising nanomaterials in many potential fields,such as optoelectronic nanodevices,functional composites,hydrogen storage,and catalyze.This paper reviewed our theoretical studies on the BNNTs and BN sheets,including their electronic properties,chemical modification,defects,hydrogen storage and boron nitride superarchitecture.
An Evaluation of the Impact of Community Relations Programmers/Projects on Host Community- Company Relationship

This study was aimed at examining the impact of community relations strategy from the perspective of the community by evaluating a youth empowerment programme implemented by Nigerian Breweries in Awo-Omamma, located in Imo State, South East Nigeria. The study adopted the stakeholder theory of corporate social responsibility and come up with grounded theory known as the opinion swing theory based on the responses of the participants. Responses obtained from the beneficiaries of the youth empowerment programme were evaluated using quantitative and qualitative research designs, using questionnaire copies and interviews to gather data from the critical stakeholders such as the traditional rulers, community leaders, and youth leaders. Findings from the research indicate that the youth empowerment programme redefined the engagement process between the company and the community and provided evidence to support in further studies in strategic community relations in Nigeria beyond the oil industry interventions. Also, there was opinion swing in favour of the Nigerian Breweries plc company based on the positive disposition of the beneficiaries of the empowerment project towards the image of the company which stood at a total score of 86% for positive impression and 76% positive relationship.
BALB/c mice can be used to evaluate allergenicity of different food protein extracts

ABSTRACT The present study sought to verify BALB/c mice as a useful allergy model and to then investigate allergenicities of different foods. Using the same regimens as preliminary study, mice were exposed to peanut protein extract (PPE), de-fatted cow milk extract, or potato protein extract. Allergen-specific IgG1 and IgE, histamine in blood, mast cell, sub-population profiles and cytokine in spleen and other tissues, and cytokine formation were analyzed. The results showed that serum levels of histamine and antigen-specific IgE were greatest (vs. control) among mice that received PPE. These mice also had the greatest presence of mast cells, TH2 cells, but lowest Treg cells. Ratios of allergen-specific IgE/IgG4 in the sera of PPE-allergic patients were higher than that in milk-allergic patients, which was performed to explain these outcomes. All of the above results confirmed that BALB/c mice is a suitable model to evaluate allergenicity of different food.
Primary to tertiary COVID-19 transmission in a hospital – A cluster outbreak analysis

The recent pandemic of SARS COV-2, a novel coronavirus requires research into understanding of its transmission dynamics and clinical presentations to help in understanding the spread of the disease, how to prevent it not only locally but also for national policy formulations. In this study, we described the transmission dynamics and clinical presentations of a cluster outbreak of SARS COV-2 in a tertiary level hospital. We also calculated the secondary attack rate for the primary, secondary, and tertiary transmissions. We conclude that symptomatic COVID-19 are primary and secondary contacts rather than tertiary contacts, hence, former to be quarantined. However, tertiary transmission is causing more COVID-19 compared to other transmissions in a hospital outbreak without further transmissibility. And overall secondary attack rate is very low in a hospital outbreak.
Hansegeschichte als Organisationsgeschichte versus Hansegeschichte als Wirtschaftsgeschichte

Hanseatic history – organizational history or economic history? Some thoughts on embedding Hanseatic research in international research strands. This article is concerned with the broader framework within which Hanseatic research is conducted. It is my contention that Hanseatic historians could sharpen their focus and attain more profound insights if they decided whether to conduct organizational studies or pursue economic history. It is not possible to do both simultaneously. Organizational and economic research not only work with different models which have theoretical underpinnings distinct from one another, they also pursue different agendas: Organizational research investigates the structures, processes and transformations of an organization, in order to answer the question: Why and how did a particular organization survive? Economic history, by contrast, studies the structures, processes and transformations of economic regions or systems, as well as the actions and motives of economic agents, notably employing efficiency as a criterion for judging those actions. At the moment, Hanseatic research tends to treat both questions indiscriminately and to assume that the stability or longevity of an organization suffices to demonstrate its efficiency. However, as recent developments in organizational research show, an inefficient organization can survive for a surprisingly long time. We must therefore study both criteria – longevity and efficiency – separately. Part one of the article suggests avenues for future research on Hanseatic history within the broader framework of organizational studies. Current research presents a working definition of an organization as an institution that gained legitimacy and identity. While it is not useful to regard “the Hanse” as a whole (whatever that might have been) as an organization, the Kontors, the town councils and probably the circle of friends of Hanseatic merchants can indeed be regarded as organizations. Part two takes a closer look at Hanseatic merchants, evaluating their success as economic actors. Three questions have to be clarified if Hanseatic historians want to discuss their findings with other economic historians: First, how do we measure ‘success’? Second, whom do we regard as a ‘Hanseatic merchant’? And third, why would it be interesting for economic historians to know whether or not Hanseatic merchants were successful? The article thus hopes to pave the way for the re-connection of Hanseatic research to broader research fields.
Predictable Opportunities in Public and Private Sectors through Advanced Cloud Computing

The majority of computers and data management is supposed to be handled in the future through cloud computing. In future, the inclination to use cloud platforms and improvements in the IT environment would be unavoidable. In IT-dependent sectors, this transition to cloud computing would be a major step. The utilisation of cloud systems is one of the key parts of this diversity. This approach influences information engineering events in the development of software. Programmers may use the cloud architecture to write applications that can both operate in a data centre and use available cloud-based resources. This innovation also delivers centralised elastic machine tools under the pay-per-use paradigm. Also, it allows smartphone users access to info, apps and cloud via the Internet. This innovation is predicted to be used in the future in schooling, urban and rural growth, wellness and more practical social media. The current article explored digital cloud computing, which presents great opportunities for advancement in IoT, Smart Grid, IoV, UAVs, 5G and several other fields of use.
Robust identity and access management for cloud systems

With increased financial loss and massive data breaches in the cloud-based environments, it is imperative for organizations to invest in new Identity and Access Management(IAM) solutions that are usable and are conforming to all the security requirements needed to protect cloud identities. A robust IAM system acts as a security boundary that controls authentication, authorization and access control for identities and devices both within and outside the organization. This paper explains the requirements of cloud IAM systems and various attacks on them due to weak security controls. The comparative analysis of the technologies and requirements endows an IAM framework aimed at a more integrated approach to secure identities and IAM systems. The framework is achieved by creating a robust algorithm for enhanced assurance levels for identity verification, proofing and continuous monitoring of all cloud identities and activities.
Restitution of agricultural land in Serbia: Comparative legal aspects

The idea of returning the confiscated property to the previous owners in the Republic of Serbia arose as a process that included all the countries of Eastern Europe and other countries of the former communist system in which mostly state property existed. Restitution is part of the transition process, which implies comprehensive changes in the state, including privatization of the state sector and market operations on the principles of private property, but also as a need to correct the injustice done to former owners of confiscated property. According to Serbian legislation, restitution is obligatory, but in practice it is very difficult and slow to realize, even though this process realizes one of the basic human rights of citizens described in the UN Universal Declaration of Human Rights the right to free enjoyment of private property. In this paper, the authors analyze the possibilities of returning agricultural land, legal regulations and implemented solutions in practice, on the example of a unit of local selfgovernment, on whose territory there is a state land fund that can be the subject of return. © 2020 EA. All rights reserved.
Characterization of Ultrafast Intramolecular Charge Transfer Dynamics in Pyrenyl Derivatives: Systematic Change of the Number of Peripheral N,N-Dimethyaniline Substituents

We have comparatively investigated the charge transfer (CT) dynamics of a series of covalently linked N,N-dimethylaniline (DMA) and pyrenyl derivatives (N1, N2C, N2T, N3, and N4, where 1, 2, 3, and 4 represent the number of DMA groups, and C and T are abbreviations for cis and trans, respectively). Their CT characters have been estimated in the order of N1 > N2C ≅ N2T > N3 > N4 by an increase of Stokes shift with increasing the solvent polarity. The femtosecond time-resolved fluorescence spectra show very early excited-state dynamics, a transition from the initially populated locally excited (LE) state to the CT state. The spectral analysis reveals that CT stabilization processes of N2T and N4 are relatively constant in comparison with those of N1, N2C, and N3. These results indicate that the CT characters of N1, N2C, N2T, N3, and N4 molecular systems are strongly influenced by the number and position of donor (DMA) groups onto the acceptor (pyrene) moiety.
The adoption of cloud computing in business organizations for an immediate tactical advantage or making it part of their long-term strategic I.T. plan

: The Information Technology (IT) business ceaselessly endeavours to enhance regarding deploying products or offering services with the approach of new technology, and cloud computing is quickly moving in the promotion cycle because it will reshape the method of delivering services of data innovation. Decision-makers still have numerous worries that could drop the adoption of cloud computing. This paper will show a systematic literature review to investigate the present situation related to cloud computing adoption. This is done by analysing 25 studies published about cloud computing adoption. The results show that businesses face critical problems before they choose to adopt cloud computing.
The (cid:96) 1 − Exact Penalty-Barrier Phase for Degenerate Nonlinear Programming Problems in Ipopt

: Failure to satisfy Constraint Qualiﬁcations (CQs) leads to serious convergence diﬃculties for state-of-the-art Nonlinear Programming (NLP) solvers. Since this failure is often overlooked by practitioners, a strategy to enhance the robustness properties for problems without CQs is vital. Inspired by penalty merit functions and barrier-like strategies, we propose and implement a combination of both in Ipopt. This strategy has the advantage of consistently satisfying the Linear Independence Constraint Qualiﬁcation (LICQ) for an augmented problem, readily enabling regular step computations within the interior-point framework. Additionally, an update rule inspired by the work of Byrd et al. (2012) is implemented, which provides a dynamic increase of the penalty parameter as stationary points are approached. Extensive test results show favorable performance and robustness increases for our (cid:96) 1 − penalty strategies, when compared to the regular version of Ipopt. Moreover, a dynamic optimization problem with nonsmooth dynamics formulated as a Mathematical Program with Complementarity Constraints (MPCC) was solved in a single optimization stage without additional reformulation. Thus, this (cid:96) 1 − strategy has proved useful for a broad class of degenerate NLPs.
Changes of Cardiopulmonary and Metabolic Functions during Jogging with and without Breast Supports: a randomized controlled trial

Background:To shed light on the physiologic reasons behind exercise intolerance in active females, we investigated the physiological changes of cardiopulmonary and metabolic functions during jogging with and without breast supports.Methods/Design:Thirteen healthy females participated in three randomized jogging trials of no bra (NB, served as control), and two breast supports of casual bra (CB), and jogging bra (JB). Immediate effects of bras on static and dynamic lung functions were identified by using the standard pulmonary function test. Metabolic changes and cardiovascular functions were continuously determined at rest, during jogging and recovery.Results:Results showed the only immediate effect of donning jogging bra on temporary reductions in resting respiratory flow rates (forced expiratory volume in 1 second and maximum voluntary ventilation) (P<0.05) compared with pre-bras values, while static lung function remained unchanged. Theabove immediate effects of breast support on respiratory flow reductions regained during exercise. All cardiorespiratory and metabolic variables were similar among conditions (P>0.05) of either at rest, during or after jogging. Only casual bra showed significant late recovery in tidal volume, oxygen consumption and energy expenditure compared with resting values.Conclusions: Any types of breast support exhibit no limitation on cardiorespiratory and metabolic functions during jogging. Jogging with breast support is recommended during exercise for health promotion and wellbeing in adolescent girls and women.Trial registration: The current study was retrospectively registered. Clinicaltrials.in. th TCTR20200311002. Registered 11 March 2020.