Miracle-dz/UniFAR-FTUs huggingface dataset:
Socio-cultural similarity with host population rather than ecological similarity predicts success and failure of human migrations

Demographers argue that human migration patterns are shaped by people moving to better environments. More recently, however, evolutionary theorists have argued that people move to similar environments to which they are culturally adapted. While previous studies analysing which factors affect migration patterns have focused almost exclusively on successful migrations, here we take advantage of a natural experiment during World War II in which an entire population was forcibly displaced but were then allowed to return home to compare successful with unsuccessful migrations. We test two competing hypotheses: (1) individuals who relocate to environments that are superior to their place of origin will be more likely to remain—The Better Environment Hypothesis or (2) individuals who relocate to environments that are similar to their place of origin will be more likely to remain—The Similar Environment Hypothesis. Using detailed records recording the social, cultural, linguistic and ecological conditions of the origin and destination locations, we find that cultural similarity (e.g. linguistic similarity and marrying within one’s own minority ethnic group)—rather than ecological differences—are the best predictors of successful migrations. These results suggest that social relationships, empowered by cultural similarity with the host population, play a critical role in successful migrations and provide limited support for the similar environment hypothesis. Overall, these results demonstrate the importance of comparing unsuccessful with successful migrations in efforts understand the engines of human dispersal and suggest that the primary obstacles to human migrations and successful range expansion are sociocultural rather than ecological.
Dissimulate or disseminate? A survey on the fate of negative results

A 34‐question survey was sent to researchers in chemistry, physics, engineering and environmental sciences, with the aim of identifying their relationship with unsuccessful research results as well as the obstacles to and incentives for their dissemination. Most of the 310 participants were affiliated with French research and teaching institutions. Conducted within the framework of the Datacc project (datacc.org) on research and data management, supported by Lyon and Grenoble Alpes University Libraries, our study fills the gap in literature on the disciplines concerned with reporting negative results in scholarly research. It shows that 81% of the researchers surveyed have already produced relevant negative results and 75% say they are willing to publish this type of data. However, only 12.5% of respondents have had the opportunity to do so in a scientific journal. This gaping contrast between intention and practice raises questions about the barriers and potential solutions.
Potential Metabolite Biomarkers for Early Detection of Stage-I Pancreatic Ductal Adenocarcinoma

Background & Objectives Pancreatic ductal adenocarcinoma remains an extremely malignant tumor having a poor prognosis. The 5-year survival rate of PDAC is related to its stage (about 80% for stage I vs 20% for other stages). However, detection of PDAC in an early stage is difficult due to the lack of effective screening methods. In this study, we aimed to construct a novel metabolic model for stage-I PDAC detection, using both serum and tissue samples. Methods We employed an untargeted technique, UHPLC-Q-TOF-MS, to identify the potential metabolite, and then used a targeted technique, GC-TOF-MS, to quantitatively validate. Multivariate and univariate statistics were performed to analyze the metabolomic profiles between stage-I PDAC and healthy controls, including 90 serum and 53 tissue samples. 28 patients with stage-I PDAC and 62 healthy controls were included in this study. Results A total of 10 potential metabolites presented the same expression levels both in serum and in tissue. Among them, a 2-metabolites-model (isoleucine and adrenic acid) for stage-I PDAC was constructed. The area under the curve (AUC) value was 0.93 in the discovery set and 0.90 in the independent validation set. Especially, the serum metabolite model had a better diagnostic performance than CA19-9 (AUC = 0.79). Pathway analysis revealed 11 altered pathways in both serum and tissue of stage-I PDAC. Conclusions This study developed a novel serum metabolites model that could early separate stage-I PDAC from healthy controls.
Towards new volatility measures for the EU stock market

This paper analyzes the role of the VSTOXX volatility index as a measure of risk for the EU stock market. Employing daily data from 2007 to 2017, we study and contrast the properties of the VSTOXX index in various market conditions. Moreover, to investigate the information content of each country-specific index for the VSTOXX, we exploit the Ordered Weighted Averaging (OWA) operator, which provides a flexible aggregation procedure ranging between the minimum and the maximum of the input values. The VSTOXX index can correctly measure the volatility risk only for France and Germany, while the results depend on the period under investigation for the other countries. Moreover, VSTOXX acted more like an OR-like measure than an AND-like measure of volatility for the EU stock markets and represented an average for the EU volatility only during periods of extreme volatility.
Walking with early dinosaurs: appendicular myology of the Late Triassic sauropodomorph Thecodontosaurus antiquus

Dinosaur evolution is marked by numerous independent shifts from bipedality to quadrupedality. Sauropodomorpha is one of the lineages that transitioned from small bipedal forms to graviportal quadrupeds, with an array of intermediate postural strategies evolving in non-sauropodan sauropodomorphs. This locomotor shift is reflected by multiple modifications of the appendicular skeleton, coupled with a drastic rearrangement of the limb musculature. Here, we describe the osteological correlates of appendicular muscle attachment of the Late Triassic sauropodomorph Thecodontosaurus antiquus from multiple well-preserved specimens and provide the first complete forelimb and hindlimb musculature reconstruction of an early-branching sauropodomorph. Comparisons with other sauropodomorphs and early dinosaurs reveal a unique combination of both plesiomorphic and derived musculoskeletal features. The diversity of appendicular osteological correlates among early dinosaurs and their relevance in muscle reconstruction are discussed. In line with previous evidence, aspects of the limb muscle arrangement, such as conspicuous correlates of lower limb extensors and flexors and low moment arms of hip extensors and flexors, suggest Thecodontosaurus was an agile biped. This reconstruction helps to elucidate the timing of important modifications of the appendicular musculature in the evolution of sauropodomorphs which facilitated the transition to quadrupedalism and contributed to their evolutionary success.
Prospective study of intense pulsed light versus pulsed dye laser with or without blue light in the activation of PDT for the treatment of actinic keratosis and photodamage

Exposure to ultraviolet (UV) light from the sun is known to have a deleterious effect on the skin. Repeated insults to the dermal matrix from UV radiation result in the clinical signs of photodamage, including changes in skin elasticity, color, and texture. UV radiation also leads to the accumulation of DNA mutations and promotes tumor development, resulting in the formation of cutaneous precancerous and cancerous lesions. Continuous‐wave incoherent blue light, intense pulsed light (IPL), and pulsed dye laser (PDL) are safe and efficacious light sources commonly used for aminolevulinic acid photodynamic therapy (PDT). The aim of this study was to prospectively evaluate the efficacy of PDT for the treatment of photodamage and actinic keratoses using four different combinations of light sources: PDL, PDL + blue light, IPL, and IPL + blue light.
Application of physics-constrained data-driven reduced-order models to shape optimization

Abstract This study proposes a novel approach for building surrogate models, in the form of reduced-order models(ROMs), for partial differential equation constrained optimization. A physics-constrained data-driven framework is developed to transform large-scale nonlinear optimization problems into ROM-constrained optimization problems. Unlike conventional methods, which suffer from instability of the forward sensitivity function, the proposed approach maps optimization problems to system dynamics optimization problems in Hilbert space to improve stability, reduce memory requirements, and lower computational cost. The utility of this approach is demonstrated for aerodynamic optimization of an NACA 0012 airfoil at $Re = 1000$. A drag reduction of 9.35 % is obtained at an effective angle of attack of eight degrees, with negligible impact on lift. Similarly, a drag reduction of 20 % is obtained for fully separated flow at an angle of attack of $25^{\circ }$. Results from these two optimization problems also reveal relationships between optimization in physical space and optimization of dynamical behaviours in Hilbert space.
A co-influence approach to shared future urban environments in interface communities

Responding to the Northern Irish post-conflict imperative to envisage, facilitate and realise shared future strategies for urban development in interface locations, this paper draws from existing academic and empirical research to define a process through which shared vision, integrated social and built environments could be realised within interface locations. Emphasis is placed on exploring, defining and prioritising shared future outcomes at all levels of community, development and statutory decision making processes. As the result of prolonged sectarian conflict between politically and religiously segregated and opposed communities, Northern Ireland (NI) retains a legacy of isolated and embattled urban interface environments. Originally housing the workforce for the now dismantled industries which generated Northern Irelands wealth, these areas, are often in prime locations for development, such as edge of city centre or riverside locations and are predominately made up of low income households, retaining and defending distinct temporal and physical community identities and boundaries within the larger urban context. Concerted political effort since the Anglo Irish Agreement (1985), culminating in The Belfast Agreement (1998) has established the basis for democratic representation through a Northern Irish Assembly, transforming political and economic direction and governance and creating conditions within which a regionally determined, sustainable, post-conflict future can begin to be envisioned. Northern Ireland now seeks to move beyond the mechanisms and manifestations of conflict and respond effectively to the increasing influence of global market economics which political stability has brought. The daily lives of interface communities however, remain in the grasp of the “structural bind” (Neill, 1995) which has held the people of Northern Ireland since the Anglo Scots plantations of the 17. While there has been substantial work in the area of sustainable communities in the UK, particularly in the wake of the Office of the Deputy Prime Minister’s (2003) Sustainable Communities: Building for the Future and the (2004) Egan Review of Skills for Sustainable Communities, the OPDM Sustainable Communities Plan (2005), in proposing a strategy for future development, acknowledges the challenges and pressing problems presented by the influence of market forces in shaping the built environment and acknowledges the need for a step change in approaches to dealing with these issues even within the relatively stable and integrated social context of the UK mainland. This study aims to develop a theoretical model for the exploration and realisation of more progressive solutions, challenging conventional practice and moving towards sustainable urban environments within areas of notable conflict in Northern Ireland. This paper details the construction of this model, which will be validated within the extended study of certain communities of Derry/ Londonderry.
Development of Sales Strategies and Alternative Marketing Channels in The World's Leading Automotive Corporations

The study of the problems of the development of the world automobile market in the context of the globalization of the world economy leads to increased competition in the world automobile market. Many countries provide their auto industry with a set of measures to protect the domestic market, imposing high customs duties on imported cars, giving domestic car manufacturers the most favored nation treatment. In this regard, a comprehensive analysis of marketing tools used in the sale of passenger cars is of particular importance.
THYROID STORM WITH ACUTE MYOCARDIAL INFARCTION: A CASE REPORT

Thyroid storm is hyperthyroid-related medical emergency with high mortality rate. Acute myocardial infarction cause even higher mortality in thyroid storm. Early recognition and immediate treatment are important to prevent mortality. Therefore, a case of adult female with thyroid storm and myocardial infarction was presented. A woman, 46 years old, complained pressing chest pain felt from middle chest to the pit of the stomach and spread to the left back. She also had got dyspnea and palpitated for 2 days. Patients had history of uncontrolled hypertension for 4 years, cardiac problem for 3-4 years and a lump in the neck for 5 years. Physical examination found tachycardia, fever, and anemia. A mass was palpated in the anterior region of neck moving upward while swallowing with a diameter approximately 6 cm, having rubbery consistency and undefinable border. Physical examination also found fine tremor on the extremities. Meanwhile, the laboratory examination found increased cardiac marker, high thyroid hormone level and low TSH. Electrocardiograph (ECG) showed ischemic on inferior and anterior area. In addition, Chest radiography showed cardiomegaly with CTR of 58%. Echocardiography found EF of 65%. Therefore, the patient was diagnosed as Thyroid Storm (TS) with very high risk NSTEMI and anemia. As a treatment, the patient was given prophylthiouracyl (PTU), lugol solution, propranolol, intravenous injection of metilprednisolone, ASA, clopidogrel, atorvastatin, lisinopril and ISDN 5 mg. On the day 11, she was discharged.
Liver lesion characterization in a patient with cirrhosis due to cardiac congestion: Limitations of LI-RADS

The MRI findings of a liver lesion in a patient with congenital heart disease are presented and the differences between the two types of MR contrast agents, i.e., extracellular and intracellular (hepatobiliary), and their role in characterizing the imaging features of hepatocellular carcinoma are discussed. The diagnostic algorithm of LI-RADS cannot be used to characterize liver lesions in patients with cardiac cirrhosis (secondary to congestive hepatopathy following congenital heart disease). The main reason for this is the increased likelihood of the presence of confounding benign lesions resulting from chronic hepatic congestion. The only definitive way to diagnose suspicious liver lesions in these patients is the histopathological examination of these lesions. Hence, there is a need for a new diagnostic imaging algorithm in such patients, which can provide a non-invasive method to identify potentially malignant lesions. Keywords: CT/MRI LI-RADS; CEUS LI-RADS; gadolinium contrast; MRI contrast agents; congenital heart disease; contrast enhanced ultrasound.
The Moderating Role of Employability on Relationship between Affectif Commitment and Intention to leave

EmployeesMaintainence is one of the important functions of Human Resource. Human Resource Retention is main objective of Human Resource Policies. Decreasing employees performance and the same time there is increasing number of employee who leave the company is a signal of problems in Human Resource area. Data accumulated from 68 employees of PT Summit Oto Finance, Denpasar Branch were analyzed by moderated regression method to examine wether The employability plays significant role on relationship between affective commitment and intention to leave. Results indicated that affetive commitment negatively correlated with intention to leave. Employability play significant role on relationship between affective commitment and intention to leave. For those who perceived high external employability, Their intention to leave were higher than those who perceived low external employability. The results of the present study confirm that external employability plays moderating role significantly. The implication of this study is that The company needs to strengthen its brand to build stronger positive affection of its employees tominimize their intention to leave the Company.
Fingerprint Database Enhancement by Applying Interpolation and Regression Techniques for IoT-based Indoor Localization

Most applied indoor localization is based on distance and fingerprint techniques. The distance-based technique converts specific parameters to a distance, while the fingerprint technique stores parameters as the fingerprint database. The widely used Internet of Things (IoT) technologies, e.g., Wi-Fi and ZigBee, provide the localization parameters, i.e., received signal strength indicator (RSSI). The fingerprint technique advantages over the distance-based method as it straightforwardly uses the parameter and has better accuracy. However, the burden in database reconstruction in terms of complexity and cost is the disadvantage of this technique. Some solutions, i.e., interpolation, image-based method, machine learning (ML)-based, have been proposed to enhance the fingerprint methods. The limitations are complex and evaluated only in a single environment or simulation. This paper proposes applying classical interpolation and regression to create the synthetic fingerprint database using only a relatively sparse RSSI dataset. We use bilinear and polynomial interpolation and polynomial regression techniques to create the synthetic database and apply our methods to the 2D and 3D environments. We obtain an accuracy improvement of 0.2m for 2D and 0.13m for 3D by applying the synthetic database. Adding the synthetic database can tackle the sparsity issues, and the offline fingerprint database construction will be less burden. Doi: 10.28991/esj-2021-SP1-012 Full Text: PDF
Degradation of phytic acid from tithonia (Tithonia diversifolia) leaves using Lactobacillus bulgaricus at different fermentation times

Pazla R, Yanti G, Jamarun N, Arief, Elihasridas, Sucitra LS. 2021. Degradation of phytic acid from tithonia (Tithonia diversifolia) leaves using Lactobacillus bulgaricus at different fermentation times. Biodiversitas 22: 4794-4798. The aim of this study is to reduce high level of phytic acid in tithonia (Tithonia diversifolia) leaves by fermentation technique using Lactobacillus bulgaricus. A completely randomized design consisting of four treatments (fermentation time) i.e. T2: 2 days, T3: 3 days, T4: 4 days and T5: 5 days and experiment was performed in four replicates. The parameters measured were pH, phytase enzyme activity, total bacterial colony, phytic acid content, and phytic acid degradation. The results showed that the fermentation time had a significant effect (P<0.05) on pH, phytase enzyme activity, total bacterial colony, phytic acid content, and phytic acid degradation. The conclusion of this study is that on fifth day (Treatment T5) fermented tithonia leaves produced the lowest levels of phytic acid (3.48 mg/ 100g) with the highest level of degradation (64.81%).
Acute undifferentiated/unclassifiable leukemia or disseminated non-hematologic neoplasm? When treatment is the compelling decision

The rapid collection of exact diagnostic and prognostic data is essential to guide therapy in patients diagnosed with acute leukemia. Basic diagnostic steps confirm the hematopoietic nature of the illness and allow distinction between Acute Lymphoid And Myeloid Leukemia (ALL and AML) throughout morphology, immunophenotype and cytogenetic/molecular analysis. However, because the complete results from the latter assays are not readily available, only morphology and Flow Cytometry (FC) permit to define quickly the cell lineage of the disease, thus orientating treatment. A small group of cases is referred to as Acute Undifferentiated Leukemia (AUL), because unclassifiable by current diagnostic markers [1]. AUL makes up 2-7% of Myeloperoxidase (MPO)-negative leukemias and poses a difficult treatment challenge [1,2]. The importance of a correct diagnostic input is further emphasized by the different results obtained with AML or ALL regimens in mixed lineage acute leukemia, another rare subset with debated diagnosis to treatment relationships [3]. Moreover, although rare in the modern era of improved diagnostic methodology, a pure leukemic presentation of an unrecognized metastatic carcinoma may need to be differentiated from AUL, AML or ALL, an issue which may be aggravated if FC results are inconclusive but treatment cannot be deferred until the availability of the other time-consuming diagnostic procedures.
Learning by Reading: Extending and Localizing Against a Model

This paper describes R3 ( Reading, Reasoning, and Reporting ), our system for deep language understanding and extension of mechanistic models. The overall purpose of R3 is to read about biochemical signaling pathways from PubMed Central journal articles and integrate information into its model. Its initial background model of these biochemical pathways is derived from an imported Reactome model of biological pathways, events, complexes, and proteins. We describe some signiﬁcant issues for semantic parsing in this domain and how R3 uses pre-and post-analysis reasoning to bridge the differences between the semantic information that can be derived from a text and the codiﬁed mechanistic information in the curated biomedical database. We also present extensions to relational structure mapping to detect corroboration between the semantic parse and the model and extend the model via analogical inference from the parse. We close with a description of empirical results with R3, including semantic parsing, model extension, grounding entity and event references, and modeling entity behavior using knowledge learned by reading.
A Stochastic Representation to Probe Data Center Implementation and QoS in Iaas Cloud Organizations

Cloud computing is a general term for framework architectures that includes conveying facilitated administrations over the Internet, made conceivable by huge advancements in virtualization and circulated figuring, and in addition enhanced access to fast Internet. A cloud administration varies from customary facilitating in three vital viewpoints. Initially, it is given on interest, regularly by the moment or the hour; second, it is versatile since the client can have as much or as meager of an administration as they need at any given time; and third, the administration is completely overseen by the supplier – client needs minimal more than PC and Internet access. Commonly an agreement is arranged and concurred between a client and an administration supplier; the administration supplier is required to execute administration demands from a client inside arranged nature of administration (QoS) prerequisites at a given cost. Because of element nature of cloud situations, differing qualities of client's solicitations, asset virtualization, and time reliance of burden, giving expected nature of administration while evading over-provisioning is not a basic errand. To this end, cloud supplier must have proficient and precise procedures for execution assessment of Cloud computing focuses.