Miracle-dz/UniFAR-FTUs huggingface dataset:
Sequential invasions by fruit flies (Diptera: Tephritidae) in Pacific and Indian Ocean islands: A systematic review

Abstract The aim of our review was to examine the cases of Tephritidae invasions across island systems in order to determine whether they follow a hierarchical mode of invasion. We reviewed the literature on factors and mechanisms driving invasion sequences in Pacific and Southwest Indian Ocean islands and gathered every record of invasion by a polyphagous tephritid in island groups. From invasion date or period, we defined an invasion link when a new fruit fly established on an island where another polyphagous tephritid is already resident (that was indigenous or a previous invader). Across surveyed islands, we documented 67 invasion links, involving 24 tephritid species. All invasion links were directional, i.e., they involved a series of invasions by invaders that were closely related to a resident species but were increasingly more competitive. These sequential establishments of species are driven by interspecific competition between resident and exotic species but are also influenced by history, routes, and flows of commercial exchanges and the bridgehead effect. This information should be used to improve biosecurity measures. Interactions between trade flow, invasive routes, and the presence of invasive and resident species should be integrated into large‐scale studies.
SENSOR BASED METHOD TO DETECT AND MONITOR H2S GAS – A REVIEW

This paper reviews work for sensor design along with sensing characteristics (stability, sensitivity, responsetime, range of operation etc.) to detect and control the risk of manure gas (H2S gas). The comparison between sensors can be done on the basis of operating range of gas concentration and working principle and limitations of different parameters of sensor are identified. Solid state gas sensor measure intensive parameters on a successful scale and less successful in measuring concentration of gas (H2,O2,CO, CO2, methane etc). It was observed that sensing parameters can be explored for detecting H2S gas by using semiconductor metal oxide such as CuO, SnO2, ZnO, NiO, etc. Recently has been seen that CuO-based sensors have good sensing properties toward H2S gas. The alternative of metal oxide sensor is use of conductive polymer on sensitizing surface. It is reviewed that ultrafast response/recovery and high selectivity parameters are very promising when hydrogen sulphide gas sensors are fabricated using ï¡-Fe2O3 nano-ellipsoids. It also describes future aspects of these sensor based method.
Presenting as a chief strategy officer: A discourse-analytical study of elite subjectivities and vulnerabilities

Do elite strategists always project powerfulness in how they talk about their strategy work? Whilst the strategy discourse literature has often assumed that those occupying senior strategy positions project strength in how they negotiate power through discourse, our findings challenge and elaborate this assumption by revealing aspects of vulnerability and powerlessness in how they talk about themselves as elite strategists. Based on the strategy discourse of 48 elite strategists around the world, our findings extend the literature at the intersection of power and subjectivity, strategy discourse, and strategy work in three ways. First, we illuminate surprising vulnerability and powerlessness in some elite strategists’ discourses about themselves, an element that goes beyond the assumption of exclusivity and influence embedded in current studies. Second, we contribute to the discursive opening up of the strategist role itself, showing how elite strategists position themselves in contrast to a variety of ‘others’ in strategy work beyond traditional hierarchies. Finally, we advance understandings on discursive competence in the strategy professional field, illuminating new ways in which its discursive competitiveness and continuity is manifest.
Analysis of the Dynamics of Internet Threats for Corporate Network Web Service

Analyzing web service logs is an important task to ensure the uninterruptible functioning and security for computer systems. When implementing complicated software systems, it is necessary to pay special attention to collecting, storing, processing, and analyzing logs of various services to identify existing and potential security problems. This paper describes an approach to analyzing the dynamics of web services functioning over two years and identifying security risks, as well as impact of the COVID-19 pandemic on the use of Internet services. Recommendations are given to strengthen the protection of web services and reduce cybersecurity risks. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
A robust ensemble feature selection technique for high‐dimensional datasets based on minimum weight threshold method

Ensemble feature selection (EFS) is a valuable technique for developing accurate and robust machine‐learning (ML) models. Data variation plays a crucial role in the success of EFS models; however, it also causes some outliers in the ranked lists. In this study, we proposed the minimum weight threshold method‐based EFS (MWT‐EFS) to address the outlier problem and use the true power of EFS. The proposed method employs the support vector classifier to assign weights for features, and the MWT method handles outliers in the ranked feature lists while creating the ensemble list. First, a threshold value is determined. After that, the feature weights below the threshold are replaced with this value. This approach eliminates the negative effect of outliers. After the new feature weights are assigned, the average of the feature weights is calculated (mean aggregation) for all features, and the ensemble (final) feature list is created accordingly. The experiment results showed that the proposed method significantly improves gene selection stability while maintaining classification performance and reducing computational complexity. In conclusion, the proposed method led to an accurate and robust classification that can help domain experts to make more confident decisions with less effort, resources, and time.
Common UGT1A6 Variant Alleles Determine Acetaminophen Pharmacokinetics in Man

Acetaminophen (paracetamol) is a widely used drug that causes adverse drug events that are often dose-dependent and related to plasma drug concentrations. Acetaminophen metabolism strongly depends on UGT1A enzymes. We aimed to investigate putative factors influencing acetaminophen pharmacokinetics. We analyzed acetaminophen pharmacokinetics after intravenous administration in 186 individuals, and we determined the effect of sex; body mass index (BMI); previous and concomitant therapy with UGT1A substrates, inhibitors, and inducers; as well as common variations in the genes coding for UGT1A1, UGT1A6, and UGT1A9. We identified sex and UGT1A6 genetic variants as major factors influencing acetaminophen pharmacokinetics, with women showing lower clearance (p < 0.001) and higher area under the plasma drug concentration-time curve (AUC) values than men (p < 0.001). UGT1A6 genetic variants were related to decreased acetaminophen biodisposition. Individuals who were homozygous or double-heterozygous for variant UGT1A6 alleles showed a 22.5% increase in t1/2 values and a 22.8 increase in drug exposure (p < 0.001, and 0.006, respectively) after correction by sex. The effect is related to the UGT1A6*2 and UGT1A6*4 variant alleles, whereas no effect of UGT1A6*3 and UGT1A9*3 alleles, BMI, or drug–drug interaction was identified in this study. We conclude that sex and UGT1A6 variants determine acetaminophen pharmacokinetics, thus providing evidence to eventually developing pharmacogenomics procedures and recommendations for acetaminophen use.
The Effects of a Patient-Specific Integrated Education Program on Pain, Perioperative Anxiety, and Functional Recovery following Total Knee Replacement

The perioperative care of patients undergoing total knee arthroplasty (TKA) affects functional recovery and clinical outcomes. This study aims to introduce a patient-specific integrated education program (IEP) into the TKA clinical pathway and to evaluate patient outcomes between the intervention and control groups. We performed a two-site, two-arm, parallel-prospective controlled trial. The experiment group received an IEP incorporating verbal preoperative education, prehabilitation, multidisciplinary personalized rehabilitation during hospitalization, and supervised self-executed home-based exercise after discharge. The control group received regular TKA clinical care. We monitored the pain intensity, anxiety scores, and functional scores at six time points from the pre-operation interview to 3 months post-operation. The pain score was significantly decreased in the IEP group during hospitalization (p < 0.01) and before discharge (p < 0.05). The anxiety status was also improved after intervention in terms of state and trait anxiety inventory scores (p < 0.001) during hospitalization. The patient-reported (WOMAC) or physician-reported (American Knee Society Score) functional scores (p < 0.01 at most of the time points) all improved significantly under hospitalization. We found that the patient-specific IEP combining preoperative education, prehabilitation, the in-hospital group education class, and postoperative care navigation is effective in reducing postoperative pain, decreasing perioperative anxiety, and facilitating functional recovery following TKA.
Penataan Kelembagaan Sekretariat Daerah Di Lingkungan Pemerintah Provinsi Banten

In order to implement the provisions of Article 3 paragraph (1) of Peraturan pemerintah number 18 of 2016 concerning Regional Apparatuses, the Banten Provincial Government needs to stipulate Regional Regulations concerning the Formation and Composition of Regional Apparatuses. Based on this mandate, the Banten Provincial Government on November 23, 2016 promulgated the Banten Province Regional Peraturan Daerah Number 8 of 2016 concerning the Formation and Composition of Regional Apparatuses. The regional regulations are explained in the Peraturan Gubernur Number 83 of 2016 concerning the position, main tasks, functions, types, organizational structures and work procedures of the Banten Province Regional Apparatus. Regional apparatus organizations must be flexible and adaptive to regulatory changes and are expected to accommodate the needs of changes in society. For this reason, an organizational structure is needed to regulate the relationship between sections and subsections in the structure of an organization that is rich in functions. The regional apparatus organization is the regional secretariat which carries out the duties and functions of the regional secretariat. With this situation, the implementation of regional government, which is related to and or originates from the composition, organizational structure, as well as the implementation of the duties and functions of regional apparatus as the organizer of regional government affairs and identifies alternative arrangements of regional apparatus that are more in line with the needs of the vision and mission of the regional head. The data analysis technique in this study was carried out using qualitative methods through a juridical-normative approach, sociological empirical and institutional theory approach.
Interleaved full ZVZCS DC–DC boost converter: analysis, design, reliability evaluations and experimental results

In this study, a new interleaved full soft switching DC-DC boost converter with a high power reliability is proposed. To achieve soft switching, a simple auxiliary circuit consisting of one switch, one diode, one inductor and two capacitors is employed in each single-phase DC-DC boost converter connected in parallel. All switches and diodes, including main and auxiliary ones, operate under soft switching conditions. These soft switching conditions consist of zero voltage and zero current switching (ZVZCS) for all switches and diodes at switching transitions except the output diodes, which turn off only with zero current switching. The soft switching technique used in this study decreases power losses which leads the converter to have higher efficiency and reliability. Also, the auxiliary circuit is located out of the main power path preventing high voltage and current stresses on the switches. In this study, operational modes analysis, design procedure, power reliability evaluations and laboratory prototype results with switching frequency of 20 kHz, input voltage of 48 V and output power of 40 W are presented.
Determinants of Foreign Trade in Nepal

: This study examines the determinants of foreign trade in Nepal. Exports and imports of Nepal are the dependent variables. The selected independent variables are GDP of Nepal, GDP of trading partners, real effective exchange rate, distance, regional economic integration, per capita GDP of Nepal, per capital GDP of trading partners, economic freedom of Nepal and economic freedom of trading partners. The study is based on secondary data of 21 trading partners of Nepal with 210 observations for the period of 2010 to 2019. The data are collected from the Direction of Trade Statistics (DOTS) dataset of International Monetary Fund (IMF), World Development Indicator database of World Bank, CEPII gravity data set and the Heritage Foundation. The regression models are estimated to test the impact of various variables on the exports and imports of Nepal. The study showed that GDP of Nepal has a positive impact on exports of Nepal. It indicates that increase in GDP of Nepal leads to increase in exports of Nepal. Similarly, GDP of trading partners has a positive impact on exports. It indicates that increase in GDP of trading partners leads to increase in exports of Nepal. Likewise, distance has a negative impact on exports. It indicates that greater the distance with the trading countries, lower would be the exports of Nepal to those trading partners. Moreover, real effective exchange rate has a positive impact on exports. It indicates that increase in real effective exchange rate leads to increase in exports. In addition, SAFTA membership has a positive impact on exports. It indicates that SAFTA membership leads to increase in exports of Nepal. Furthermore, t he study revealed that economic freedom index of trading partners has a positive impact on exports. It indicates that increase in economic freedom index of trading partners leads to increase in exports of Nepal. In addition, the study shows that GDP of Nepal has a positive impact on imports of Nepal. It indicates that increase in GDP of Nepal leads to increase in imports of Nepal. 2010 to 2019. The study showed that GDP of Nepal, GDP of trading partners, real effective exchange rate, regional economic integration (SAFTA), per capita GDP of Nepal and trading partners, economic freedom of Nepal and economic freedom of trading partners have positive impact on exports of Nepal. However, distance and regional economic integration (OECD) have negative impact on exports of Nepal. The study also showed that GDP of Nepal, GDP of trading partners, real effective exchange rate, regional economic integration (SAFTA) and economic freedom of Nepal have positive impact on imports of Nepal. The study concluded that distance, regional economic integration (OECD), per capita GDP differential and economic freedom of trading partners have negative impact on imports of Nepal. The study also concluded that GDP of foreign trade is the most determinant factor that explains the changes in foreign trade of Nepal.
Paths Study on Knowledge Convergence and Development in Computational Social Science: Data Metric Analysis Based on Web of Science

Computational social science, as an emerging interdisciplinary discipline, is a field ushered in by long-term development of traditional social science. It is committed to supplying data thinking, resources, and analytics to study human social behavior and social operation laws to accurately grasp and judge the developing path of the discipline, which is of great significance to promote the innovation and development of social sciences. This study is to conduct a systematic quantitative analysis from a bibliometric perspective, aiming to provide a reference for scholars to explore the paths and changing rules in the field. We use the relevant literature in Web of Science as the dataset. After eliminating journal calls and irrelevant literature, R language and SciMAT tools are used to visualize and analyze the number of articles, keyword clustering, keyword cooccurrence network, and theme evolution, so as to summarize and sort out the paths of computational social science research. The study found that the annual volume of publications has been gradually increasing and will probably remain active in the next few years with high productivity. Subject themes in different periods are diversified, and the evolutionary relationship is found complex as well. Besides, as a cross discipline, scientific knowledge from different fields cross collides and couples with each other in the big data environment, changing the traditional concept of computational social science and forming a new development path. Recently, the emergence of “big data+” has promoted the rise of new subject areas, making the development of new disciplines a reality.
Prosocial Organizing and the Distance between Core and Community Work

Research on prosocial organizing has made great strides in understanding how organizations foster durable social change through core work directly targeting specific beneficiaries (e.g. work integration), and also through community work to obtain the cooperation of key stakeholders. Yet, extant research tends to focus on community work that is closely related – or proximal – to core work and is thus weakly equipped to explain how seemingly unrelated, distal community work unfolds. To address this puzzle, we study an Italian work integration social enterprise that engaged in anti-Mafia work to support its core work of reintegrating people with mental health issues. We unveiled the process whereby it came to engage in this distal community work, how this work facilitated the destigmatization of the beneficiaries and, ultimately, their reintegration in the community. We contribute to the literature on prosocial organizing by providing a more complex and nuanced view of the relationship between core and community work, as well as how to manage stigma.
Stable and quadratic-optimal parallel-distributed-compensation controller design for time-varying Takagi–Sugeno fuzzy model System: A complementary computational approach

A complementary computational approach is proposed for the time-varying Takagi–Sugeno fuzzy model system (TVTSFMS). The proposed approach integrates orthogonal-functional approach (OFA), hybrid Taguchi genetic algorithm (HTGA), and a stabilizability condition (SC) for use in designing stable and quadratic-optimal parallel-distributed-compensation (SQOPDC) controllers for optimal control problems. First, the SC was set according to linear matrix inequalities (LMIs). Next, OFA was used to derive an algorithm that only required algebraic computation to solve the TVTSFMS. Finally, The HTGA could be used to search the SQOPDC controller for the TVTSFMS. The SQOPDC controller obtained by the proposed complementary computational approach was evaluated in a case study of a vibratory pendulum design; the successful design verified the usability of the proposed hybrid intelligent computing method.
Natural Frequencies of Small Cylinders and Tubes

The paper deals with modal analysis of the cylinders and tubes and their mutual comparison. Nowadays, modal analysis is a powerful method of describing the vibration properties. When we know own shapes and natural frequencies, we can predict e.g. behaviour of tubes under loading conditions. The tubes dimensions were taken as dimensions which are close to assault rifle barrels. The same dimensions were taken for cylinders. The cylinders and tubes as 3D objects were modelled and their lengths and thicknesses were modified. Modal analysis was performed by LS-DYNA software using FEM with iterative Lanczos method. In Tables 1-12, the natural frequencies for these cantilever beams and their corresponding own shapes with modification in fixing length for three different thicknesses are listed. In Figure 2 and 7-9, these natural frequencies versus modification in fixing length for three different thicknesses for corresponding modes are shown. In Figure 3-5 and 10-12, natural frequencies versus length of cylinders and tubes for three different thicknesses for corresponding modes are shown.
Feasibility Study for a Repetitive Member Factor for Cold-formed Steel Framing Systems

Cold-formed steel has become a preferred building material for structural framing in many different types of structures, commonly used as repetitive members such as floor joists, roof rafters, roof trusses and wall studs. For wood framed structures with repetitive members, a repetitive member factor increases the allowable bending stress from 1.00 to 1.50 times the reference design value, depending on both the type of material and the type of load. Currently, however, the bending strength of cold-formed steel repetitive members is not permitted to be increased, even though the method of framing is quite similar to that of wood except for the material properties. Typical light-frame wood construction consists of floor, roof, and wall systems, each with repetitive members connected by sheathing. A repetitive system is one of at least three members that are spaced not farther apart than 24-inches connected by a load distributing element. The behavior of the individual members, then, is affected by inclusion into this system. The effects of both composite action and load-sharing in a repetitive system increase the bending capacity of bending members. The same general principles of repetitive use should apply to cold-formed steel due to its similarity to wood construction. Based upon a preliminary analytical study of the effects of both composite action and load-sharing in cold-formed steel assemblies it has been concluded that a repetitive member factor for cold-formed steel members is feasible and should be further investigated.
Characteristics of microRNAs and Target Genes in Maize Root under Drought Stress

Maize (Zea mays) is an important multi-functional crop. The growth and yield of maize are severely affected by drought stress. Previous studies have shown that microRNAs (miRNAs) in maize play important roles in response to abiotic stress; however, their roles in response to drought stress in maize roots is unclear. In our study, we found 375 miRNAs in the roots of 16 inbred lines. Of the 16 lines, zma-MIR168, zma-MIR156, and zma-MIR166 were highly expressed, whereas zma-MIR399, zma-MIR2218, and zma-MIR2275 exhibited low expression levels. The expression patterns of miRNA in parental lines and their derived RILs are different. Over 50% of miRNAs exhibited a lower expression in recombinant inbred lines than in parents. The expression of 50 miRNAs was significantly altered under water stress (WS) in at least three inbred lines, and the expression of miRNAs in drought-tolerant lines changed markedly. To better understand the reasons for miRNA response to drought, the degree of histone modifications for miRNA genes was estimated. The methylation level of H3K4 and H3K9 in miRNA precursor regions changed more noticeably after WS, but no such phenomenon was seen for DNA methylation and m6A modification. After the prediction of miRNA targets using psRNATarget and psRobot, we used correlation analysis and qRT-PCR to further investigate the relationship between miRNAs and target genes. We found that 87 miRNA–target pairs were significantly negatively correlated. In addition, a weighted gene co-expression network analysis using miRNAs, as well as their predicted targets, was conducted to reveal that miR159, miR394, and miR319 may be related to maize root growth. The results demonstrated that miRNAs might play essential roles in the response to drought stress.