Miracle-dz/UniFAR-FTUs huggingface dataset:
Vertebrate Paleontology of the Cloverly Formation (Lower Cretaceous), III: A New Species of Albanerpeton, with Biogeographic and Paleoecological Implications

ABSTRACT We describe a new species of the albanerpetontid amphibian Albanerpeton from three localities in the Lower Cretaceous Cloverly Formation of Wyoming, U.S.A. Radiometric dates between ∼111–112 Ma indicate it is slightly younger than A. arthridion from the Antlers Formation. The new species is diagnosed on a pair of fused frontals that possess a unique combination of characters, mixing plesiomorphic features of the internasal process with a more derived overall shape and proportions. Referred material includes premaxillae, maxillae, dentaries, atlantes, ‘axes,’ trunk vertebrae, humeri, and an ilium. Phylogenetic analyses place the new species near the base of Albanerpeton sensu lato but without fully resolving its position. The inclusion of Shirerpeton and Wesserpeton within this clade opens up the possibility that these genera might be incorporated into Albanerpeton, or that a number of species formerly assigned to Albanerpeton might receive new generic assignments. By including several informal species in our analysis, it becomes clear that character distributions are more homoplastic and that past genus typologies are probably less secure. We assign the new species to Albanerpeton conservatively, pending further phylogenetic study. The Cloverly Albanerpeton is found in unambiguously aquatic deposits, suggesting that the animal lived near these settings for at least part of its life. This is a common habitat for Mesozoic albanerpetontids, unlike the karst-dominated, often drier, deposits in which Cenozoic species are typically found. Despite the recent discovery of a probable arboreal species, it is likely that albanerpetontids inhabited a range of habitats throughout their evolutionary history.
Towards the Development of Smart and Sustainable Transportation System for Foodservice Industry: Modelling Factors Influencing Customer’s Intention to Adopt Drone Food Delivery (DFD) Services

While the attempts to deploy drones in the foodservice industry focus on the technical aspects, research studies from behavioral perspectives that support service substantially are still in their infancy. When new technology-based services are introduced, it is crucial to examine and understand consumers’ perceptions by identifying a set of actions that influence acceptance and fulfilling their target. Therefore, service providers of drone food delivery (DFD) services need to identify significant factors that influence potential consumers to use drone delivery. Although a few existing models are significant, these models lack a comprehensive basic theory that addresses factors which influence consumers’ intention and behavior. To overcome this limitation and propose a more comprehensive model, relevant research studies from the domain of drone delivery services and other emerging technology such as IoT, Autonomous Vehicles, and Mobile Banking are identified, reviewed, and analyzed, and ten potential factors are subsequently extracted. This study’s data were collected from 209 participants who regularly order food online for delivery and were analyzed using SPSS. Descriptive statistics, reliability, Pearson correlation, regression analysis, r-squared, and standardized beta coefficient analyses are carried out to present the study’s findings. The results show that there is a significant relationship between behavioral intention and the user behavior of DFD. Although the participants in this study are yet to experience drone technology in the foodservice domain, the identified factors explain around 32.9% of the variation in the use behavior of DFD services. In the early stage of adoption, it is highly recommended for stakeholders to conduct marketing campaigns through media channels such as television and different social media platforms to bring awareness of this technology.
The Sleep-Promoting Ventrolateral Preoptic Nucleus: What Have We Learned over the Past 25 Years?

For over a century, the role of the preoptic hypothalamus and adjacent basal forebrain in sleep–wake regulation has been recognized. However, for years, the identity and location of sleep- and wake-promoting neurons in this region remained largely unresolved. Twenty-five years ago, Saper and colleagues uncovered a small collection of sleep-active neurons in the ventrolateral preoptic nucleus (VLPO) of the preoptic hypothalamus, and since this seminal discovery the VLPO has been intensively investigated by labs around the world, including our own. Herein, we first review the history of the preoptic area, with an emphasis on the VLPO in sleep–wake control. We then attempt to synthesize our current understanding of the circuit, cellular and synaptic bases by which the VLPO both regulates and is itself regulated, in order to exert a powerful control over behavioral state, as well as examining data suggesting an involvement of the VLPO in other physiological processes.
Advancing Competitive Intelligence as a Correlation of Competitive Advantage in Iraqi Banking Industry

The extant literature suggests that firms could gain and sustain competitive advantage using competitive intelligence. Competitive intelligence is a tool that keeps firms abreast of changes in market preferences, technology, competition, and social and strategic positionings. However, despite the fairly-developed corpus on the link between competitive intelligence and competitive advantage, the literature seems short on treating this relationship within the banking sector of the Arab world. Drawing on the resource-based view (RBV) and knowledgebased view (KBV) frameworks, this paper advances competitive intelligence as a correlate of competitive advantage in the Iraqi banking industry. Four hypotheses were advanced, and methods were suggested for collecting data (through the appropriate instruments) and testing the hypotheses. The result may provide a starting point or motivation for further research in this direction.
Open configuration options Exposure or Income? The Unequal Effects of Pollution on Daily Labor Supply

We use high-frequency data on fine particulate matter air pollution (PM 2.5) at the locality level to study the effects of high pollution on labor supply decisions and hospitalizations for respiratory disease in the metropolitan area of Mexico City. We document a negative, non-linear relationship between PM 2.5 and same-day labor supply, with strong effects on days with extremely high pollution levels. On these days, the average worker experiences a reduction of around 7.5% of working hours. Workers partially compensate for lost hours by increasing their labor supply on days that follow high-pollution days. Informal workers reduce their labor supply less than formal workers on high-pollution days and also compensate less on the following days. This suggests that informal workers may experience greater exposure to high pollution and greater reductions in labor supply and income. We provide evidence that reductions in labor supply due to high pollution are consistent with avoidance behavior and that income constraints may play an important role in workers' labor supply decisions.
New genus of Cupressaceae from the Upper Cretaceous of Patagonia (Argentina) fills a gap in the evolution of the ovuliferous complex in the family

The conifer family Cupressaceae encompasses seven subfamilies. Five of them were once considered to constitute the family Taxodiaceae, later eliminated because of its paraphyletic nature but remaining as an informal category for early‐diverging Cupressaceae lineages. Among the taxodiaceous subfamilies, Athrotaxoideae shows a unique morphology in its ovuliferous complexes (OCs) and a phylogenetically unexplored fossil record. We describe the new genus and species Patagotaxodia lefipanensis, based on OC adpressions associated with leafy branches collected at the Maastrichtian section of the Lefipán Formation (Patagonia, Argentina), and we refer it to Athrotaxoideae. We include Patagotaxodia in total evidence phylogenetic analysis to test its affinity, and we recover it within the subfamilies Athrotaxoideae or Cunninghamioideae. However, we argue that the characters supporting the athrotaxoid affinity are more meaningful in a taxodiaceous systematic context. This placement is also supported by taxon inclusion‐exclusion experiments. We discuss the position of other Cretaceous athrotaxoid records. With basis on the morphological insights provided by the OC morphology of extant and extinct Athrotaxoideae, we study the evolution of the OC morphology in the family in a phylogenetic context and discuss the results in the light of the fossil record of the family. We discuss how and when the different morphologies appeared in the family. Based on phylogenetic, temporal, morphological, and ontogenetic evidence, we conclude that the OC morphology shown by the subfamily Athrotaxoideae is intermediate between two of the most common morphologies within extant and extinct Cupressaceae species, one of which would show adaptative advantages over basal morphologies.
The Money Priming Debate Revisited: A Review, Meta‐Analysis, and Extension to Organizations

The effects of primed money have received widespread attention in social psychology but not in the organizational literature. This research examines whether priming money causes people to think and behave in ways consistent with how they would act if they received real money. Money priming research has not made many inferences to organizations, but the potential implications of the findings for the work-place are thought-provoking. However, because some money priming studies failed to replicate and many findings are mixed, we review this literature and meta-analyze the effects of primed money on two organization-related outcomes. Meta-analytic results (12 259 participants, 90 effects adjusted for dependence, and 34 studies) showed that primed money increased performance ( d = .38), but it also boosted selfishness ( d = .33). These effects were moderated by perceptual or behavioral outcome measures, where primed money increased behavioral selfishness ( d = .72) over twice as much as it did behavioral performance ( d = .33). These meta-analytic results clarify extant literature, provide a new platform for future money priming research in organizations, and offer new alternatives for managers looking for viable options to improve employee functioning.
Supply chain insights from social media users’ responses to panic buying during COVID-19: the herd mentality

PurposeThis study applied the herd mentality theory to explore local and global social media users’ responses to panic buying across the USA, UK and Australia during the COVID-19 crisis to understand the implications on operations and supply chains.Design/methodology/approachA total of 208,806 social media user-generated content (UGC) pieces were collected from Twitter in three countries – the USA, UK and Australia. The analysis of this big qualitative data was performed using machine learning–based software – Leximancer.FindingsPositive and negative sentiment towards panic buying during the COVID-19 crisis was observed in the UGC. No significant differences in social media UGC sentiment between the three countries were found; however, differences did exist in key themes. This suggests that the focus, not the sentiment, of consumers’ responses to panic buying differed across countries. Social media users follow their location-based and topic-consonant social “herd”, rather than the global “herd”. Research limitations/implicationsThis study was the first to show that social media users’ herd mentality differs in a crisis. The herd mentality of social networks is dependent on factors such as the geographic location of the social network (herd), which can differ from the global herd’s reaction, specifically in terms of topics evident in UGC.Practical implicationsOperations and supply chain managers need to include social media UGC analysis in their strategies in crisis management responses. The topics, not the sentiment, of consumers’ responses to panic buying require managerial actions.Originality/valueThis is the first study to show that herd mentality during a crisis, such as COVID-19, is not unidimensional and varies according to the location of the social media network with profound implications for operations and supply chain managers.
Tunable magnetic and magnetotransport properties in locally epitaxial La0.67Sr0.33MnO3 thin films on polycrystalline SrTiO3, by control of grain size

La0.67Sr0. 33MnO3 (LSMO) thin films have been grown by pulsed laser deposition on SrTiO3 using combinatorial substrate epitaxy (CSE) approach, i.e. polycrystalline substrates with micrometer-size grains. The crystallographic domains size of those polycrystalline substrates can be controlled between 2 and 45 µm depending on the annealing temperature during synthesis. Each grain of the substrate acts as a single crystalline growth template promoting local epitaxy with a reproduction of the substrate grain structure in the thin film. Therefore, a fine-tuning of the substrate grain metrics and high crystalline quality of locally epitaxial LSMO film, allows to combine the advantages of polycrystalline, i.e. the presence of low field magnetoresistance (LFMR) and the possibility to use very thin films, with a pronounced magnetic shape anisotropy. For this, the magnetic and transport properties of the films are showing a strong influence with varying grain metrics of the substrate. High Curie temperatures, important values of the LFMR and anisotropy for optimized substrate grain metrics with the relative orientation of the magnetic field to the film plane underline the high quality of the films and the advantage of the CSE approach. The obtained LSMO thin films may have an interest for high-resolution low field magnetic sensors application.
Upper Crossed Syndrome: Trends and Recent Advances in the Physiotherapy Treatment a Narrative Review

Background: How does it affect the quality of life of the patient? Upper Crossed Syndrome (UCS) is also discussed as proximal or shoulder crossed syndrome. According to Vladimir Janda, UCS is characterized by the tightness of the levator scapulae muscle, upper trapezius muscle, on dorsal sides crosses with tightness of pectoralis major muscle and minor muscle. Weakness of the deep cervical flexors ventrally crosses along with weakness of the middle and the lower trapezius. The weakness and tightness lead to postural imbalance. In addition to this, it creates postural patterning of rounded shoulder forward head posture, loss of cervical lordosis, and increased kyphosis. These can lead to postural adjustment in the upper quarter of the body. Materials and Methods: Out of 17 articles screened 8 studies are included in this review according to the inclusion and exclusion criteria. The inclusion criteria are forward head posture, articles from the year 2011 to 2021, patient age between 20-50 years, article published in English languages, articles available in full text, and RCT’S. The exclusion criteria are, articles published before 2011, age less than 20 years and more than 50 years old, articles published other than English language, and articles not available with full text. Relevant studies were retrieved through Cochrane, PubMed, CINHAL, and Embase databases from the year 2011 to 2021. Results: All the physiotherapeutic treatments including conventional and recent trends showed a beneficial effect on patient with upper crossed syndrome or postural abnormalities. Conclusion: All physiotherapy interventions like strengthening and stretching, resistance exercises, postural correction exercises, and ROM exercises has a positive effect on the prevention and treatment of upper crossed syndrome. Also, recent trends like dry needling, yoga therapy, myofascial trigger release, eccentric muscle energy technique, Kinesio taping, and IFT and EMG activity has also shown positive result in UCS.
Does the Expression and Epigenetics of Genes Involved in Monogenic Forms of Parkinson’s Disease Influence Sporadic Forms?

Parkinson’s disease (PD) is a disorder characterized by a triad of motor symptoms (akinesia, rigidity, resting tremor) related to loss of dopaminergic neurons mainly in the Substantia nigra pars compacta. Diagnosis is often made after a substantial loss of neurons has already occurred, and while dopamine replacement therapies improve symptoms, they do not modify the course of the disease. Although some biological mechanisms involved in the disease have been identified, such as oxidative stress and accumulation of misfolded proteins, they do not explain entirely PD pathophysiology, and a need for a better understanding remains. Neurodegenerative diseases, including PD, appear to be the result of complex interactions between genetic and environmental factors. The latter can alter gene expression by causing epigenetic changes, such as DNA methylation, post-translational modification of histones and non-coding RNAs. Regulation of genes responsible for monogenic forms of PD may be involved in sporadic PD. This review will focus on the epigenetic mechanisms regulating their expression, since these are the genes for which we currently have the most information available. Despite technical challenges, epigenetic epidemiology offers new insights on revealing altered biological pathways and identifying predictive biomarkers for the onset and progression of PD.
Learning-PDE-Based Approximate Optimal Control for an MHD System With Uncertainty Quantification

Handling uncertainty is one of the most important challenges in real physical systems. In this article, we study an approximate optimal magnetic control strategy for a one-dimensional (1-D) magnetohydrodynamic (MHD) system with uncertainty quantification within the learning framework of the underlying MHD model. First, the MHD flow system is modeled by coupled partial differential equations (PDEs) wherein the Reynolds number is not deterministic but random. Then, the optimal magnetic control problem is formulated and reduced to a parameter selection problem with stochastic PDE constraints by means of the control parameterization method. Significantly different from the conventional sensitivity analysis and adjoint methods, a polynomial chaos expansion (PCE) based on a multifidelity model is developed to construct the underlying PDEs model by polynomial functions. Thus, the relationship between the objective function and the control sequence is derived explicitly, which, in turn, transforms the optimal parameter selection problem with stochastic PDE constraints into a typical algebraic optimization problem that can be easily solved by the existing nonlinear programming algorithm. Numerical simulations are illustrated to demonstrate the high performance of our proposed method.
The potential and economic viability of solar photovoltaic power in Ghana

ABSTRACT In this study, the potentiality and economic viability of solar photovoltaic (PV) in Ghana was assessed using RETScreen software. 5 MW of grid-connected solar PV power system using SunPower SPR-320E-WHT-D PV module can be harnessed from Navrongo, Bawku, Wa, Tema, Bolgatanga, Axim, Salaga, Kintampo, Kete Krachi, Tamale, Hohoe, Koforidua, Ejura, Takoradi, Bole, Sunyani, Bibiani, Cape coast, Prestea, and Akuse, which requires US$17,752,179 of investment capital and 25,313 m2 of land for PV installation. The potential of 5 MW grid-connected PV development for Accra, Kumasi, Wenchi, and Tafo are limited. However, there are solar PV energy potentials for low-capacity PV modules for these locations. Investing in solar photovoltaic technology is capital intensive in a developing country like Ghana. However, Government’s effort to provide incentives like subsidies and creating the economic environment for private sector investment will boost investment possibilities of renewable energy in Ghana, which can help in curbing the recent power outages and load shedding, thereby increasing productivity and economic resilience.
Peran Permainan Tradisional guna Menguatkan Karakter Kebaikan Hati pada Anak

Riset ini bertujuan untuk mengembangkan buku pedoman permainan tradisional guna meningkatkan karakter kebaikan hati pada anak usia 6-8 tahun. Pengembangan yang digunakan merupakan R & D dengan jenis ADDIE. Mengaitkan 7 guru yang telah bersertifikat dari bermacam wilayah untuk melaksanakan analisis kebutuhan, 7 validator untuk melaksanakan expert judgement, serta 6 anak selaku subjek uji coba buku pedoman secara terbatas. Hasil dari riset ini menguraikan 1) Buku pedoman permainan tradisional disusun sesuai tahapan dalam ADDIE ialah Analyze, Design, Develop, Implement, dan Evaluate; 2) Mutu buku pedoman terkategori dalam jenis “Sangat Baik” dengan skor 3,79 (pada skala 1-4) dengan saran “Tidak Perlu Revisi”; serta 3) Penerapan buku pedoman permainan tradisional mempunyai pengaruh guna meningkatkan karakter kebaikan hati anak usia 6-8 tahun. Hasil uji signifikansi menguraikan t(5) = 2,571, p = 0,000 (p < 0,05) dengan besar pengaruh r = 0,98 ataupun setara dengan 97,83% serta terletak dengan jenis “Dampak Besar” yang bermaksud bahwa buku pedoman permainan tradisional bisa menerangkan 97,83% kenaikan yang terjalin pada karakter kebaikan hati anak. Ada pula tingkatan daya guna memakai N-gain score ialah 75,52% yang terletak pada jenis daya guna “Tinggi”.
Does corporate social responsibility affect the institutional ownership of firms in the hospitality and tourism industry?

As hospitality and tourism (H&T) businesses mature, they often seek institutional equity financing to support their growth. Capital intensive H&T firms, such as cruise operators, casinos and large restaurant and hotel chains, continuously rely on institutional capital to fund their operations. This study examines which corporate social responsibility dimensions affect H&T firms’ ability to attract institutional equity capital providers. We document that firms with better social and governance performance have higher institutional ownership, particularly by investors focused on long-term growth and value creation, such as dedicated institutional investors, domestic investors and blockholders. Community and environmental performance do not increase institutional holdings.
Impact of Meteorological Uncertainties in the Methane Retrieval Ground Segment of the MERLIN Lidar Mission

MERLIN (MEthane Remote sensing LIdar missioN) is a Franco-German space mission designed to provide weighted columns of atmospheric methane through an inversion of the lidar signal using a priori information on the atmospheric state. Uncertainties about the meteorological parameters of the observed scene used in the ground segment contribute to the error budget on the retrieved methane column. With the LIDSIM (LIDar SIMulator) data simulator and the PROLID (PROcessor LIDar) inversion processor developed for MERLIN, we perform an impact experiment using ECMWF (European Centre for Medium Weather Range Forecast) ensemble forecast data. In addition, we estimate the standard deviation of the error in the methane column due to the meteorological uncertainties to be about 0.6 ppb. In addition, we innovate by discussing the impact of interpolations both in time and space, focusing on vertical extrapolations under the topography by using state-of-the-art methods to determine from the scatter between these methods the range in which the actual profile should be. We conclude that, in areas where the topography variations exceed 10 m over 10 km, an additional random error of 0.1 ppb is due to our lack of knowledge of the adjustment of atmospheric profiles to terrain. Finally, we point out that further work needs to be performed on temporal interpolation. Indeed, the 3 h time interpolation of atmospheric tides can create regional biases of up to 2 ppm (which is a major problem for models trying to identify methane sinks and sources).