Miracle-dz/UniFAR-FTUs huggingface dataset:
Seroprevalence and associated risk factors of bovine neosporosis in the Khomas region of Namibia

Neospora caninum is a coccidian parasite that occurs worldwide and is one of the most important causes of abortion, especially in cattle. However, no studies have been performed in Namibia to determine the N. caninum status in livestock. Therefore, this study aimed to determine the seroprevalence of N. caninum in cattle and the associated risk factors in the Khomas region of Namibia. A total of 736 sera were collected from cows in 32 farming establishments. These comprised 698 beef and 38 dairy cattle sera and were tested using a commercial enzyme-linked immunosorbent assay (ELISA) kit. Questionnaires were concurrently administered to determine possible risk factors associated with N. caninum seropositivity. A total of 42 sera were positive (all beef), giving an animal-level seroprevalence rate of 5.7%. Eight of the 32 establishments had at least one positive animal, giving a herd-level seroprevalence of 25%. There was no significant association between seropositivity and the presence of dogs, jackals, history of abortions, farm size, number of cattle or average annual rainfall. The establishments with moderate to high numbers of Feliformia were 9.8 times more likely to be seropositive to N. caninum than those with none to low levels of the former (p = 0.0245). The authors concluded that the seroprevalence level of N. caninum in the Khomas region was relatively low compared with other parts of the world and that the role of Feliformia in the epidemiology of bovine neosporosis needed to be further investigated. Contribution Serological evidence of bovine neosporosis and the associated risk factors are reported in Namibia for the first time. This study contributes to the scientific body of knowledge on N. caninum in Africa, which is currently limited.
The Dynamics of Team Learning: Harmony and Rhythm in Teamwork Arrangements for Innovation

Innovation teams must navigate inherent tensions between different learning activities to produce high levels of performance. Yet, we know little about how teams combine these activities—notably reflexive, experimental, vicarious, and contextual learning—most effectively over time. In this article, we integrate research on teamwork episodes with insights from music theory to develop a new theoretical perspective on team dynamics, which explains how team activities can produce harmony, dissonance, or rhythm in teamwork arrangements that lead to either positive or negative effects on overall performance. We first tested our theory in a field study using longitudinal data from 102 innovation teams at a Fortune Global 500 company; then, we replicated and elaborated our theory in a study of 61 MBA project teams at an elite North American university. Results show that some learning activities can occur within the same teamwork episode to have harmonious positive effects on team performance, while other activities combine to have dissonant negative effects when occurring in the same episode. We argue that dissonant activities must be spread across teamwork episodes to help teams achieve a positive rhythm of team learning over time. Our findings contribute to theory on team dynamics, team learning, and ambidexterity.
Optimal design in random-effects regression models

SUMMARY An approach is proposed to optimal design of experiments for estimating randomeffects regression models. The population designs are defined by the number of subjects and the individual designs to be performed. Cost functions associated with individual designs are incorporated. For a given maximal cost, an algorithm is proposed for finding the statistical population design that maximises the determinant of the Fisher information matrix of the population parameters. The Fisher information matrix is formulated for linear models and normal distributions. The approach is applied to the design of an optimal experiment in toxicokinetics using a first-order linearisation of the model. Several cost functions and designs of various orders are studied. An example illustrates the optimal population designs and the increased efficiency of some optimal designs over more standard designs.
The bank lending channel of monetary policy transmission in Vietnam: Impacts of the COVID-19 pandemic and the financial crisis

Abstract This paper aims to analyze changes in the transmission of monetary policy via bank lending when considering the impact of the COVID-19 pandemic and the financial crisis. Using bank-level data of 31 commercial banks in Vietnam from 2007 to 2021, we provide consistent evidence that the impact of monetary policy on bank lending tends to be more pronounced in the period of the COVID-19 pandemic. Besides, we document that the bank’s loan supply is more sensitive to monetary policy adjustments during the global financial crisis. Thus, a general pattern can be detected, i.e. the monetary policy transmission through the bank lending channel is stronger under unfavorable macro contexts in Vietnam. Accordingly, it can be suggested that adjustments in the monetary policy of the central bank have still been effective in periods of macro difficulty and the implementation of unconventional monetary policy in Vietnam is not necessary yet. Regression results when using the sample-splitting technique are consistent with those using interactive variables, providing evidence to confirm the robustness of the findings obtained in the study.
Sur le diamètre transfini entier d'un intervalle réel

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Importance of Cold Pools to NCEP Mesoscale Eta Model Forecasts

Abstract The cold pool, a pool of evaporatively cooled downdraft air that spreads out horizontally along the ground beneath a precipitating cloud, is often a factor in severe weather and heavy precipitation events. Unfortunately, cold pools are not well sampled by the present observational network and are rarely depicted in numerical model initial conditions. A procedure to identify and insert cold pools into the 29-km Eta Model is developed and tested on seven cases during 1995. Results suggest that when the large-scale forcing is strong, the inclusion of cold pools produces only slight changes in the forecasts. However, for the one case in which the large-scale forcing is relatively weak, the inclusion of cold pools produces significant changes in many of the model fields. These initial results, while not conclusive, suggest that the incorporation of cold pools, and other mesoscale features, may be important to the improvement of numerical guidance for severe weather and heavy precipitation forecasting.
Geometric Properties of Generalized Bessel Functions

In this work, the generalized Bessel functions with their normal- ization are considered. Various conditions are obtained so that these Bessel functions have certain geometric properties including close-to-convexity (univa- lency), starlikeness and convexity in the unit disc. Results obtained for certain classes are new and for the other classes for which similar results exist in the literature, examples are given to support that these results are better than the existing ones.
Stochastic volatility models as hidden Markov models and statistical applications

This paper deals with the fixed sampling interval case for stochastic volatility models. We consider a two-dimensional diffusion process (Yt, Vt), where only (Yt) is observed at n discrete times with regular sampling interval ˜. The unobserved coordinate (Vt) is ergodic and rules the diffusion coefficient (volatility) of (Yt). We study the ergodicity and mixing properties of the observations (Yi˜). For this purpose, we first present a thorough review of these properties for stationary diffusions. We then prove that our observations can be viewed as a hidden Markov model and inherit the mixing properties of (Vt). When the stochastic differential equation of (Vt) depends on unknown parameters, we derive moment-type estimators of all the parameters, and show almost sure convergence and a central limit theorem at rate n 1=2 . Examples of models coming from finance are fully treated. We focus on the asymptotic variances of the estimators and establish some links with the small sampling interval case studied in previous papers.
Deep Ultraviolet BGaN Quantum Dot structures

This research studies boron-containing quantum dot (QD) structures that emit the ultraviolet. Ternary and quaternary lattice-matched structure:, , , , ,, , and and their TE and TM gain spectra, spontaneous emission, spontaneous polarization, and piezoelectric polarization have been examined in these structures. They have high TE and TM spectra under reducing boron content in the QD or barrier layer. The total polarization decreases for the Al-containing systems, which is preferred. Binary systems emit at 199nm, while the quaternary can have a peak wavelength near 235nm. Elongating of the wavelength to 290nm is possible with with high gain at a few boron contents.
Analysis of a Nontornadic Storm during VORTEX 95

Abstract Analysis of a supercell storm that did not produce a tornado near Hays, Kansas, is presented. A well-defined midlevel mesocyclone was apparent throughout most of the storm’s life cycle. Numerous shallow circulations were observed along the rear-flank gust front during the data collection period. Six of these circulations strengthened into intense low-level mesocyclones. Each of these mesocyclones failed to produce a tornado. The strongest low-level mesocyclone, referred to as vortex #4, underwent a life cycle that was consistent with other tornadic mesocyclones documented in the literature. These results illustrate that the presence of a long-lived mesocyclone at low levels is not sufficient for tornadogenesis to occur. The kinematic structure of the low-level mesocyclone that did not produce a tornado is compared with a tornadic mesocyclone from another storm in order to understand the characteristic differences between these circulations. The results lead to the conclusion that the presence of .
Hospitality as the bridge: advancing transformative service research towards human flourishing

ABSTRACT As an increasingly important paradigm in the services domain, transformative service research (TSR) emphasizes the need for improving the well-being of entities inside and outside the service organization. The present article offers that hospitality – as an ethic and experience – offers compelling avenues to move the TSR agenda to its next stage of evolution. Specifically, given its indelible connections to the fledging paradigm of human flourishing, hospitality provides tangible pathways for service organizations to effect transformative value creation as systemic human flourishing at the individual, collective, and ecosystem levels. The article examines this proposition in the context of research at the intersection of hospitality and healthcare. It then offers a novel conceptual framework – Hospitality-Oriented Systems of Transformation In Services (HOSTIS) – that uses hospitality as the starting point and the bridge between the two paradigms of TSR and human flourishing. The article concludes with opportunities for future research that addresses the key conceptual and empirical considerations of the framework. The HOSTIS framework recognizes the potential of service organizations to contribute to a flourishing society.
The Impact of Labor, Capital, Energy and Income Growth on Environmental Degradation in Selected Developed Countries

This study observes the persuade of labour force, capital formation, energy use, urbanization and income growth on environmental degradations and confirm the EKC with Consumption of energy in selected developed nations using the panel data during the time period 1995 to 2021. The estimated outcomes of the paper illustrate that when use of energy increases the environmental quality improves. The association between income growth and carbon emission is negative and statistically significant in the long run while, positive in the short run in case of selected developed countries. In long-term labour force and capital formation has positive influence on carbon emanation. Carbon emissions initially rise as consumption of energy rises in the long-term, but after a particular position, it starts reduce. This study suggests that environment can be improved by income growth in the selected developed countries. Controlling urbanization development will allow for a reduction in carbon emissions while enhancing agricultural practices. To reduce carbon emissions, energy usage should be effectively managed and optimized. Furthermore, direction of environmental degradation can be reduced by income growth with optimal use of capital and labor to achievement of better climate conditions.
Explaining consumers’ channel-switching behavior in the post-COVID-19 pandemic era

Abstract Significant changes have been brought about in consumer behaviour as a result of the COVID-19 pandemic. Digital consumption has attracted a large number of new consumers during the pandemic. However, there are few academic studies on the determinants of these crucial changes in consumer behaviour. Addressing this gap, this study investigates consumers’ channel-switching behaviour during the COVID-19 pandemic. Using a sample of about 2,640 respondents collected after the outbreak, this study aims to define the key drivers of the changes in consumers’ shopping channel decisions. The study results show that several factors significantly affected consumers’ decisions to change their shopping habits after the pandemic broke out, including marital status, price, quality, convenience, and overall satisfaction with current and new shopping channels. More importantly, this study is one of the few to investigate the differences in determining factors regarding consumers’ choices of online and traditional channels in the post—COVID-19 pandemic era. The level of convenience, the time spent making purchases, technology competency, the abundance of product information, the ability to check product quality, and income significantly impact purchasing channel decisions between online and traditional channels.
Stability analysis of complex networks with multi-links

In this paper，a new idea about network split is presented according to the different nature of the network links. Time-delay has been introduced into networks to effect the split and on that a model of complex dynamical networks with multi-links has been constructed. Based on Lyapunov theory，the stability analysis of networks with multi-links is also studied. The sufficient conditions of the stability of networks with time-delay and without time-delay are respectively presented. The validility of the results are proved by numerical simulation of this paper.
Computing Nash Equilibria in Probabilistic, Multiparty Spatial Models with Nonpolicy Components

Although there exist extensive results concerning equilibria in spatial models of two-party elections with probabilistic voting, we know far less about equilibria in multiparty elections—i.e., under what conditions will equilibria exist, and what are the characteristics of equilibrium configurations? We derive conditions that guarantee the existence of a unique Nash equilibrium and develop an algorithm to compute that equilibrium inmultiparty elections with probabilistic voting, in which voters choose according to the behaviorists' fully specified multivariate vote model. Previously, such computations could only be approximated by laborious search methods. The algorithm, which assumes a conditional logit choice function, can be applied to spatial competition for a variety of party objectives including vote-maximization and margin-maximization, and can also encompass alternative voter policy metrics such as quadratic and linear loss functions. We show that our conditions for an equilibrium are plausible given the empirically-estimated parameters that behaviorists report for voting behavior in historical elections. We also show that parties' equilibrium positions depend not only on the distribution of voters' policy preferences but also on their nonpolicy-related attributes such as partisanship and sociodemographic variables. Empirical applications to data from a recent French election illustrate the use of the algorithm and suggest that a unique Nash equilibrium existed in that election.
Auditing and compliance in public procurement – an empirical assessment

Purpose This study aims to empirically evaluate the effectiveness of government auditing of local authorities’ compliance with the procurement rules. Design/methodology/approach A diff-in-diff approach is used where the measure of compliance is (changes in) the incidence of private litigation under the Public Procurement Act, in audited vs non-audited municipalities. Further, semi-structured interviews were conducted with chief procurement officials. Findings No statistically significant effect is found. While strong effects of audits can be ruled out, the statistical results and the interviews do not, however, contradict a modest but long-lasting effect. Originality/value Few studies have addressed the effect of public procurement auditing on compliance. This study develops an empirical framework and presents empirical results.
A 20 Years Retrospective Descriptive Study of Human Cystic Echinococcosis and the Role of Albendazole Concurrent with Surgical Treatment: 2001–2021

Background: Hydatid cyst, caused by the larvae of Echinococcus granulosus, is one of the most severe cestode infections occurring in Iran. The liver is the most commonly involved organ. The present study was carried out to review the demographic of 20 years surgically treated hydatic cysts. Methods: Ninety-eight patients were enrolled in the study. Demographic features, time of surgery, cyst size, and albendazole usage have been reviewed from the medical records of patients in Loghman Hakim Hospital, Tehran, Iran, from 2001 to 2021. Statistical analysis was performed to find any correlation between the uses of concurrent albendazole with surgical procedure. Results: Of 98 patients with hydatid cyst, 57 (58.2%) were female. The mean age of patients was 39.4 ±18.7 yrs, and the mean surgery time was 217.5 ± 81.4 minutes. Regarding the infection site, the liver (60.2%) and lungs (22.4%) were the most affected organs, respectively. 56.1% of patients had one cyst, and 42.9 % had two or more cysts. 20.4% of them had taken albendazole before surgery, but 86.7 % took it after the operation. No recurrent cysts were seen among 91.8% of them, but 8.2% mentioned suffering from a recurrent cyst. 85.7% of those recurrent cases did not receive albendazole before surgery, and 75% of recurrent cases after surgery did not take albendazole (P<0.05). Conclusion: Administration of albendazole before and after the operation was significantly related to reduced recurrence, bleeding, morbidity, and even the time of surgery.
The Spectrum of Vessel Wall Imaging (VWI) Findings in COVID-19-Associated Neurological Syndromes: A Review

Since the start of the pandemic, there have been extensive studies from all over the world reporting on coronavirus disease 2019 (COVID-19)-associated neurological syndromes. Although initially thought of as primarily a respiratory pathogen, it became increasingly clear that the virus does have other systemic manifestations, including on the neurological system. Since then, the discovery of the many neuroimaging features of COVID-19-associated neurological syndromes have puzzled researchers and physicians in terms of interpretation, and how best to manage these findings to benefit patients. We sought to review the neuroimaging findings of COVID-19-associated neurological syndromes, particularly the vessel wall imaging (VWI) features, in the hope of finding a common feature that would better guide physicians in terms of further management of this group of patients. We will also look into the potential pitfalls of interpreting the VWI findings in these patients.
Modelling, Estimating and Validating Multidimensional Distribution Functions -With Applications to Risk Management-

The question of how to model dependence structures between financial assets was revolutionized since the last decade when the copula concept was introduced in financial research. Even though the concept of splitting marginal behavior and dependence structure (described by a copula) of multidimensional distributions already goes back to Sklar (1955) and Hoeffding (1940), there were very little empirical efforts done to check out the potentials of this approach. The aim of this thesis is to figure out the possibilities of copulas for modelling, estimating and validating purposes. Therefore we extend the class of Archimedean Copulas via a transformation rule to new classes and come up with an explicit suggestion covering the Frank and Gumbel family. We introduce a copula based mapping rule leading to joint independence and as results of this mapping we present an easy method of multidimensional chi²-testing and a new estimate for high dimensional parametric distributions functions. Different ways of estimating the tail dependence coefficient, describing the asymptotic probability of joint extremes, are compared and improved. The limitations of elliptical distributions are carried out and a generalized form of them, preserving their applicability, is developed. We state a method to split a (generalized) elliptical distribution into its radial and angular part. This leads to a positive definite robust estimate of the dispersion matrix (here only given as a theoretical outlook). The impact of our findings is stated by modelling and testing the return distributions of stock- and currency portfolios furthermore of oil related commodities- and LME metal baskets. In addition we show the crash stability of real estate based firms and the existence of nonlinear dependence in between the yield curve.
Synthesis of functionalized sulfonamides as antitubercular agents

Abstract Using up-to-date methods for synthesis and analysis, 51 sulfonamides were prepared for use as tools in antitubercular drug discovery. The synthetic efforts were centered on varying substituents at three key structural units implicated in antimicrobial activity, namely the sulfonyl group, nitrogen N1 and nitrogen N4. Procedures were specific to the sites of functionalization. Preliminary biological assessments are included here on selected compounds. The results suggest that the compounds may be useful in the exploration of the likely interactions of sulfa drugs with enzymes found in tuberculosis (dihydropteroate synthase) or its human host (N-acetyltransferase), interactions that result in drug activity or drug de-activation, respectively. GRAPHICAL ABSTRACT