Miracle-dz/UniFAR-FTUs huggingface dataset:
Personal Loan Sales Forecasting Through Time Series Analysis

Almost all state enterprises and private sector companies try to foresee future expectations. From the viewpoint of economic, productive, and efficient business management, this is highly important. By making rational decisions, all enterprises aim to rich maximum profitability by taking sales, cost, human resource needs, profits into account. For this reason, enterprises have to make reliable and reasonable forecasts to take the right decisions. Such forecasts might be used in budgeting, cost, and profit analysis. Forecasted scenarios might come true in the future with a great likelihood. The researcher utilizing time series analysis assumes that all findings that come out will be almost the same happened in the past. Analyzing the time series consist of four aims such as defining, modeling forecasting, and controlling. To define a series, it is needed to compute definitional statistics and to draw its graphic. The second purpose of analyzing the time series is to find the appropriate model of the time series. With that work called “Time series and application to sale data”, it is tried to make a suitable guess model by analyzing the data of personal loans of a bank 2004-2010 sale data based on unit. During the stagnation stage of the sequence correlogram and root, analyses are performed. The sequence is analyzed with the help of the Eviews 5,1 program. At the end of the survey, it is seen that natural logarithmic personal loan sale sequences are at their level and in the first gap it is not constant and it is also seen that when the second gap is taken, the constant is obtained. The sequence of which the second gap is taken is shown based on time-way graphs and correlogram. When the constant is provided, the guessed model is formed by taking the second gap. The suitability of the model is observed by the correlogram, Akaike information criteria (AIC), and Schwarz information criteria (SIC) merits.
Effect of Damper Sub-System Stiffness on the Response of a Single Degree of Freedom System Equipped with a Viscous Damper

ABSTRACT Elastic flexibility of a viscous damper sub-system can alter the phasing of damper and structural forces. This paper investigates how damper sub-system flexibility affects overall seismic response, using linear and nonlinear dampers. A suite of analyses with damped single degree-of-freedom systems show that a damper with significant flexibility can experience median peak displacements 40% higher than those of the same damper with rigid supports, depending on the added damping, damper sub-system stiffness, and period. To limit the impact of phasing effects, the damper sub-system stiffness should be 5–10 times the stiffness of the main lateral load resisting system.
Impact of Military Expenditures on the Globalization Process: A Spatial Econometric Analysis for African Region

With modernization, ideological shifts and economic interdependency, the concept of globalization has expanded vastly. Though the world is unipolar, still the international competition remains prevalent that poses serious threats to regional conflicts. The great powers of the world are still competing with each other for influence over other countries. Thus, the role of militarization cannot be ignored in this context. Thus, it would be interesting to examine the impact of military expenditures on the globalization process through the spill-over effects, along with their relationship with economic growth. The study employed panel data consisting of African countries, covering the time period from 2001 to 2014. The econometric estimation is done through the application of spatial econometric techniques, that is, the spatial autoregressive fixed effect model and spatial Durbin fixed effect model. The study has found a positive relationship between economic growth and globalization but a negative relationship was found between military expenditures and economic growth.
Causal emergence from effective information: Neither causal nor emergent?

The past few years have seen several novel information-theoretic measures of causal emergence developed within the scientific community. In this paper I will introduce one such measure, called ‘ effective information ’ , and describe how it is used to argue for causal emergence. In brief, the idea is that certain kinds of complex system are structured such that an intervention characterised at the macro-level will be more informative than one characterised at the micro-level, and that this constitutes a form of causal emergence. Having introduced this proposal, I will then assess the extent to which it is genuinely ‘ causal ’ and/or ‘ emergent ’ , and argue that it supports only an epistemic form of causal emergence that is not as exciting as it first seems.
Preparation and characterization of electrospun cellulose acetate sub-micro fibrous membranes

Electrospun sub-microfiber membrane of cellulose acetate (CA), with excellent biodegradability, high specific surface area and high porosity, has attracted wide attention in various research fields. Even so, the stable continuous electrospinning of CA sub-micro fibers is affected by the solution parameters and CA acetylation degree dramatically, which still remains challenging. In the present work, electrospun CA sub-micro fibrous membranes have been prepared from four distinct solvent systems, respectively, to explore the proper solution parameters for membrane fabrication. After hydrolysis and electrospinning, the produced CA sub-micro fibrous membranes were analyzed in terms of fiber size distribution, hydrophilicity and porosity. Current analysis has shown that the degree of substitution of CA sub-micro fibers decreases with the increase in hydrolysis time, resulting in increased diameter irregularity, decreased average porosity and increased hydrophilicity of the sub-micro fibrous membrane.
Research priorities for the management of freshwater fish habitat in Canada

Effective management of freshwater fish habitat is essential to supporting healthy aquatic ecosystems and sustainable fisheries. In Canada, recent changes to the Fisheries Act enhanced the protection of fish habitat, but application of those provisions relies on sound scientific evidence. We employed collaborative research prioritization methods to identify scientific research questions that, if addressed, would significantly advance the management of freshwater fish habitat in Canada. This list was generated by a diverse group of freshwater fish experts, including substantial contributions from practitioners who administer provisions of the Fisheries Act. The research questions generated in this study identify priority topics for future research, while highlighting issues that could be addressed with different funding models. As a result, this study should support evidence-based management of Canada’s aquatic resources by identifying scientific knowledge gaps faced by practitioners, and suggesting funding mechanisms to address them. Given the important contribution of Canadian freshwater systems to global ecosystem values, and the similar scientific challenges facing fish habitat managers in other jurisdictions, this study is likely to have broad applicability.
Social-ecological wellbeing of communities engaged in ecotourism: Perspectives from Sakteng Wildlife Sanctuary, Bhutan

Abstract This paper develops an integrative framework of wellbeing through wellbeing perspectives from development studies and social-ecological systems literature. The framework was applied in indigenous communities of a wildlife sanctuary-cum-ecotourism destination in eastern Bhutan. Qualitative methods, including 68 household interviews and six focus groups, were used to assess subjective, socio-relational, material and ecological dimensions of wellbeing in connection to ecotourism and conservation-development debates. Findings suggest the critical yet complex socio-relational aspects of life for wellbeing; the significance of power relations between stakeholders in relation to sense of wellbeing; and the constant trade-offs that correspond to issues of justice and control, particularly with natural resources. The study identifies the need for more research on gender, power and governance in fragile and protected areas engaging in ecotourism. Assessments informed by an integrative wellbeing approach can foster fruitful dialogue on trade-offs and decision-making in ecologically sensitive areas.
In silico Molecular Characterization and Phylogenetic Analyses of SARS-CoV-2 in Mediterranean Basin

Background: The novel human coronavirus disease COVID-19 has become the fifth reported pandemic since the global spread of 1918 flu and counted as the first documented coronavirus worldwide spread in the history. The COVID-19 was initially considered as a respiratory disease, but SARS-CoV-2 can lead to cause other serious complications. Purpose: This study aimed to conduct phylogenetic analyses of the whole genome of SARS-CoV-2 strains isolated from infected humans in Mediterranean basin countries, Orf1ab gene, S gene, M gene, N gene and Orf3a gene sequences. In addition, the products of Orf1ab, S, M and N genes were also phylogenetically analyzed. Changes that occurred on the S-gene product of these SARSCoV-2 strains were also detected. Materials and Methods: The whole genome of SARS-CoV-2 isolates, the genes and the gene products (Accessed July 20, 2020) were recovered in Mediterranean basin countries were retrieved from GenBank Database previously available in National Center for Biotechnology Information (NCBI) using BLAST (Basic Local Alignment Search Tool) system. Analyses of these sequences were carried out using computer program MEGA6 software. Original Research Article Adwan; JAMB, 21(4): 34-47, 2021; Article no.JAMB. 67086 35 Results: The Phylogenetic analyses showed that Bat coronavirus RaTG13 isolate is more closely related to SARS-CoV-2 isolates than Pangolin coronaviruse isolates. The S gene product of this virus mediates entry into the host cell and has S1/S2 cleavage site containing multibasic amino acid sequence (PRRAR) which is not detected in other closely related coronaviruses. Many coronavirus strains that deposited in GenBank, showed that they have PRR sequence in Orf1ab gene product. Conclusion: we conclude that part of multibasic S1/S2 motif acquired by recombination or insertion. Theoretically, any coronavirus strain acquired this sequence becomes highly pathogenic to humans. The dominant mutation (79.3%) at S gene product level was 614D→G. The impact of mutations detected in S gene product on virus transmission, diagnosis, pathogenicity and strategies of antiviral therapy, should be rapidly assessed in further studies.
Uranium Biomineralization By Natural Microbial Phosphatase Activities in the Subsurface

In this project, inter-disciplinary research activities were conducted in collaboration among investigators at The University of Alabama (UA), Georgia Institute of Technology (GT), Lawrence Berkeley National Laboratory (LBNL), Brookhaven National Laboratory (BNL), the DOE Joint Genome Institute (JGI), and the Stanford Synchrotron Radiation Light source (SSRL) to: (i) confirm that phosphatase activities of subsurface bacteria in Area 2 and 3 from the Oak Ridge Field Research Center result in solid U-phosphate precipitation in aerobic and anaerobic conditions; (ii) investigate the eventual competition between uranium biomineralization via U-phosphate precipitation and uranium bioreduction; (iii) determine subsurface microbial community structure changes of Area 2 soils following organophosphate amendments; (iv) obtain the complete genome sequences of the Rahnella sp. Y9-602 and the type-strain Rahnella aquatilis ATCC 33071 isolated from these soils; (v) determine if polyphosphate accumulation and phytate hydrolysis can be used to promote U(VI) biomineralization in subsurface sediments; (vi) characterize the effect of uranium on phytate hydrolysis by a new microorganism isolated from uranium-contaminated sediments; (vii) utilize positron-emission tomography to label and track metabolically-active bacteria in soil columns, and (viii) study the stability of the uranium phosphate mineral product. Microarray analyses and mineral precipitation characterizations were conducted in collaboration with DOE SBR-funded investigatorsmore » at LBNL. Thus, microbial phosphorus metabolism has been shown to have a contributing role to uranium immobilization in the subsurface. « less
The quality of risk reports: Integrating requirement levels of standard setters into text analysis

The intention of this paper is to shed light on the analysis of financial disclosure through the integration of requirement levels. This in return will lead to the development of a general applicable evaluation methodology based on Bloom’s taxonomy system. Therefore, it will be possible to explicitly consider the relevance of the given information. To underline the appropriateness of our method, we combine the requirement levels with a qualitative content analysis. Based on the German accounting standard DRS 20, we clarify the respective application of the requirement levels in the context of the qualitative content analysis. Hence, we will discuss the limitations of our developed approach. In addition, we analyze further areas of application in the context of qualitative analysis of financial disclosure. All things considered, it is evident that our chosen approach, through the integration of a taxonomy system, contributes to the validity of established text analyzing methods.
Research note: Likes, sarcasm and politics: Youth responses to a platform-initiated media literacy campaign on social media

To better understand youth attitudes towards media literacy education on social media, and the opportunities and challenges inherent in such initiatives, we conducted a large-scale analysis of user responses to a recent media literacy campaign on TikTok. We found that reactions to the cam-paign were mixed, and highly political in nature. While young people appreciated the urgency of media literacy education and understood its relevance to their social media participation, many displayed a sarcastic attitude, criticizing both the content and the dissemination of the campaign. Based on these responses, we identify key takeaways and recommendations that can valuably in-form future media literacy campaigns on social media.
Strengthen the Impact of CSR Information on Investment Decisions: The Role of Good Corporate Governance in ASEAN Countries

This research contributes to the development of theories regarding the relationship between Corporate Social Responsibility (CSR) and investment decisions. Acquisition of stock returns that exceed normal predictions depends on the successful implementation of Good Corporate Governance (GCG). This study aims to examine investors' reactions to information on CSR disclosure in several countries that are members of the Association of Southeast Asian Nations (ASEAN). Furthermore, this study also examines the role of implementing GCG in strengthening the impact of CSR disclosure on investor relations as measured by abnormal stock returns. The sampling technique used was purposive Sampling. The research was conducted on Manufacturing Companies in countries that are members of ASEAN during 2017-2019. The estimation model used to analyze data is a multiple regression model. The results showed that CSR information was able to increase investors' positive reactions. Meanwhile, GCG practice is proven to strengthen the impact of CSR information on investment decisions. Other variables involved in this study, namely audit quality, company size, debt level, and sales growth, are not proven to influence abnormal stock returns.
Substantial decrease in concurrent meteorological droughts and consecutive cold events in Huai River Basin, China

Concurrent meteorological droughts and consecutive cold events can significantly impact local ecosystems, socio‐economies, and human health. The respective characteristics of droughts and cold extremes have been extensively studied, however, their concurrent extremes have received very little attention. In this study, we used the Huai River Basin as a case to build a magnitude index of concurrent meteorological droughts and consecutive cold events (CDCMI) based on daily minimum temperature data and a 1‐month standardized precipitation evapotranspiration index (SPEI) from 1961 to 2018. Results show that the magnitude of meteorological droughts increased over the observation period, while consecutive cold events significantly decreased. CDCMI showed a significant downward trend at a rate of −0.14 per decade. Large differences were observed between 1990–2018 and 1961–1989—especially in the southern parts of the basin (around −50%). The frequency of mild and moderate concurrent meteorological droughts and consecutive cold events showed no significant upward or downward trends, but severe and extreme concurrent events showed pronounced decreasing trends at rates of −0.03 events/decade and − 0.036 events/decade, respectively. Under the same return period, high CDCMI values are present in the southeastern part of the basin, indicating that the concurrent events in this region are more serious. When CDCMI = 1.79 (extreme grade), the return period in the southeastern part of the basin (5–10 years) is much lower than that in the northwestern part of the basin (>100 years), indicating that this part is harmed to a greater extent by the concurrent extremes than elsewhere in the basin. The spatial pattern of maximum CDCMI again indicates that the southeastern part of the basin is at a high risk for concurrent events. The proposed magnitude index may be a useful tool for analysing concurrent (compound) droughts and cold events as well as their potential impacts.
Two theorems on balanced braces

Abstract Two theorems of Gateva-Ivanova [Set-theoretic solutions of the Yang-Baxter equation, braces and symmetric groups, Adv. Math. 338 (2018), 649–701] on square-free set-theoretic solutions to the Yang–Baxter equation are extended to a wide class of solutions. The square-free hypothesis is almost completely removed. Gateva-Ivanova and Majid's ‘cyclic’ condition ${\boldsymbol {\rm lri}}$ is shown to be equivalent to balancedness, introduced in Rump [A decomposition theorem for square-free unitary solutions of the quantum Yang-Baxter equation, Adv. Math. 193 (2005), 40–55]. Basic results on balanced solutions are established. For example, it is proved that every finite, not necessarily square-free, balanced brace determines a multipermutation solution.
Discourse and Form Constraints on Licensing Object-First Sentences in German

In German, the subject usually precedes the object (SO order), but, under certain discourse conditions, the object is allowed to precede the subject (OS order). This paper focuses on main clauses in which either the subject or a discourse-given object occurs in clause-initial position. Two acceptability experiments show that OS sentences with a given object are generally acceptable, but the precise degree of acceptability varies both with the object‘s referential form (demonstrative objects leading to higher acceptability than other types of objects) and with formal properties of the subject (pronominal subjects leading to higher acceptability than non-pronominal subjects). For SO sentences, acceptability was reduced when the object was a d-pronoun, which contrasts with the high acceptability of OS sentences with a d-pronoun object. This finding was explored in a third acceptability experiment comparing d-pronouns in subject and object function. This experiment provides evidence that a reduction in acceptability due to a prescriptive bias against d-pronouns is suspended when the d-pronoun occurs as object in the prefield. We discuss the experimental results with respect to theories of German clause structure that claim that OS sentences with different information-structural properties are derived by different types of movement.
Social Capital on Social Networking Sites: A Social Network Perspective

Although social capital has been researched from many approaches and attempts have been made to measure it online, the literature lacks an operational description that would allow its measurement criteria to be established from a social network perspective. Therefore, the purpose of this paper is to identify in the literature what metrics researchers use to measure social capital on social networking sites from a social network perspective. Thus, this contribution offers a theoretical description of the key elements for measuring social capital in social networking sites, which may be useful in subsequent studies.
A Novel Multilabel Classification Framework for Coupling Faults in Hot Rolling Processes

Compared with a single fault, the occurrence, evolution, and composition of coupling faults have more uncertainties and diversities, which make coupling fault classification a challenging topic in academic research and industrial application areas. This brief addresses the classification problems of coupling faults from a new perspective. Specifically, the main innovations are: 1) a classification framework for coupling faults is first proposed, which integrates multiple kernel learning and multilabel dimensionality reduction; 2) label correlations and nonlinear characteristics among coupling faults are fully explored aiming at improving classification performance; and 3) a trace ratio form of $l_{1}$ norm-based objective function is designed for improving the robustness of multilabel classifier. Extensive experiments on the hot rolling process (HRP) are finally given to validate the effectiveness of the proposed scheme.
Investigating the Moon's Interaction With the Terrestrial Magnetotail Lobe Plasma

We present observations of the Moon's plasma interaction in Earth's magnetotail lobes by the ARTEMIS mission, and compare these to hybrid model results to constrain the global properties of the lunar electromagnetic environment. We identify, for the first time in the magnetotail lobes, a low‐energy wake extending multiple lunar radii downstream of the Moon along the ambient flow direction. This wake is tilted out of the lunar optical shadow, allowing for detection of the otherwise unobservable cold ambient magnetospheric plasma. Similar eclipse encounters may provide additional opportunities to measure this low‐energy plasma potentially originating from the terrestrial ionosphere. We find lunar ionospheric outflow extending multiple Moon radii downstream that generates asymmetries in the Moon's plasma environment and shares characteristics with the plasma interactions of Rhea, Tethys, and Dione. The extensive ARTEMIS data set may therefore provide additional insights into the plasma environments near moons of the outer solar system.
A direct measurement method of quantum relaxation time

Abstract The quantum relaxation time of electrons in condensed matters is an important physical property, but its direct measurement has been elusive for a century. Here, we report a breakthrough that allows direct determination of quantum relaxation time at zero and non-zero frequencies using optical measurement. Through dielectric loss function, we connect bound electron effects to the physical parameters of plasma resonance and find an extra term of quantum relaxation time from inelastic scattering between bound electrons and conduction electrons at non-zero frequencies. We demonstrate here that the frequency-dependent inelastic polarization effect of bound electrons is the dominant contribution to quantum relaxation time of conduction electrons at optical frequencies, and the elastic polarization effect of bound electrons also dramatically changes the plasma resonance frequency through effective screening to charge carriers.