Miracle-dz/UniFAR-FTUs huggingface dataset:
A positivist criticism of positivist growth theory

The notion of growth is one of the most studied notions within economic theory and, traditionally, it is accounted for on the basis of a positivist thesis according to which assumptions are not relevant, as long as economic models have acceptable predictive power. Following this view, it does not matter whether assumptions are realistic or not. Arguments against this principle may involve a defense of the realistic assumptions over highly idealized or false ones. This article aims in a different direction. Instead of demanding more realism, we can accept the spirit of the mentioned thesis, but, instead, criticize the circularity that may arise by combining different assumptions that are necessary for the explanation of economic growth in mainstream economics. Such a circularity is a key aspect of the well-known problem of providing microfoundations for macroeconomic properties. It is here suggested that the notion of emergence could be appropriate to arrive at a better understanding of growth, clarifying the issues related to circularity, but without totally rejecting the usefulness of unrealistic assumptions.
Catalytic Advances in the Production and Application of Biomass-Derived 2,5-Dihydroxymethylfuran

In recent years, 2,5-dihydroxymethylfuran (DHMF), which can be produced by the selective hydrogenation of biomass-derived 5-hydroxymethylfurfural (HMF), has attracted great attention and interest of many scientists because of its peculiar symmetrical structure and wide potential applications. At present, studies of the production of DHMF are quickly progressing, with productive approaches being increasingly developed, and many crucial achievements have been continually obtained. However, to date, a special and real-time review of this research area is still lacking. To gain more insight into the current research situation, this review comprehensively summarizes and discusses state-of-the-art advancements of the production of DHMF from HMF via various chemocatalytic pathways, such as conventional hydrogenation, transfer hydrogenation, electrocatalytic hydrogenation, photocatalytic hydrogenation, disproportionation reaction, and biocatalytic pathways. Meanwhile, this review also systematically outlines the .
On strongly regular designs admitting fusion to strongly regular decomposition

A strongly regular decomposition of a strongly regular graph is a partition of the vertex set into two parts on which the induced subgraphs are strongly regular, or cliques or cocliques. Strongly regular designs (srd's) as defined by D. G. Higman are coherent configurations of rank 10 with two fibers in which the homogeneous configuration on each fiber is a strongly regular graph. Haemers and Higman proved the equivalence between strongly regular decompositions, excluding special cases, and srd's with certain parameter conditions. Here we obtain this result by examining the srd's that admit a fusion to a strongly regular graph on the full vertex set. We derive equivalent conditions to Theorem 2.8 of Haemers and Higman by elementary methods. Incorporating recent works of Hanaki and Klin and Reichard, a table of feasible parameter sets for this class of srd's is presented along with a discussion of known constructions. In two cases, nonexistence is observed due to nonexistence of the strongly regular graph obtained through fusion. One of these is also ruled out by Hobart's generalized Krein conditions, applied to srd's. As strongly regular decompositions of the complete graph have sparked interest with recent papers we observe that in our situation this occurs only when the constituent graphs are also complete and the design is trivial.
Review on MXene synthesis, properties, and recent research exploring electrode architecture for supercapacitor applications

MXenes have potential applications in the field of supercapacitors. As a two‐dimensional material, how its structure, properties, and surface chemistry facilitate energy storage is discussed. A detailed analysis of the synthesis of MXenes and factors affecting energy storage in supercapacitor grounds is explained in detail. Possibilities of anode architecture to improve supercapacitor performance on industrial standards are discussed. This review will aid in planning better MXene hybrid anodes to assemble supercapacitors with desired electrochemical performance. Ways to improve capacitance, energy density, and voltage window of electrodes are explained based on literature reports. Electrochemical performance is evaluated by the effect of hierarchical structures, heterostructures, transition metal oxides, carbon compounds, polymers, and so on. Anode fabrication methods for modern micro‐supercapacitors are also incorporated in this study. A good selection of electrolytes and fabrication techniques adapted for MXene‐based anode fabrication is emphasized. This review will help in future options of supercapacitor anode designing.
An electric lamp

Die Erfindung betrifft eine Kfz-Scheinwerferlampe mit einem Metall-Kunststoffsockel, dessen elektrische Anschlusse als Kontaktfahnen (16, 17) ausgebildet sind. Erfindungsgemas weisen die beiden Kontaktfahnen (16, 17) jeweils eine Nut (16c, 17c) auf, in der jeweils ein aus dem Lampenkolben herausgefuhrter Stromzufuhrungsdraht (12, 13) durch eine Schweisverbindung mit der entsprechenden Kontaktfahne (16, 17) fixiert ist. Auserdem sind die Kontaktfahnen (16, 17) mit Mitteln (16f, 17f) zur Einfadelung der Stromzufuhrungsdrahte (12, 13) in die jeweilige Nut (16c, 17c) ausgestattet und der Lampensockel besitzt wenigstens einen Durchbruch (18), der zur Durchfuhrung der Verschweisung der in den Nuten (16c, 17c) angeordneten Stromzufuhrungsdrahte (12, 13) mit den Kontaktfahnen (16, 17) dient.
Partial Visual-Tactile Fused Learning for Robotic Object Recognition

Currently, visual-tactile fusion learning for robotic object recognition has achieved appealing performance, due to the fact that visual and tactile data can offer complementary information. However: 1) the distinct gap between vision and touch makes it difficult to fully explore the complementary information, which would further lead to performance degradation and 2) most of the existing visual-tactile fused learning methods assume that visual and tactile data are complete, which is often difficult to be satisfied in many real-world applications. In this article, we propose a partial visual-tactile fused (PVTF) framework for robotic object recognition to address these challenges. Specifically, we first employ two modality-specific (MS) encoders to encode partial visual-tactile data into two incomplete subspaces (i.e., visual subspace and tactile subspace). Then, a modality gap mitigated (MGM) network is adopted to discover modality-invariant high-level label information, which is utilized to generate gap loss and further help updating the MS encoders for relatively consistent visual and tactile subspaces generation. In this way, the huge gap between vision and touch is mitigated, which would further contribute to mine the complementary visual-tactile information. Finally, to achieve data completeness and complementary visual-tactile information exploration simultaneously, a cycle subspace leaning technique is proposed to project the incomplete subspaces into a complete subspace by fully exploiting all the obtainable samples, where complete latent representations with maximum complementary information can be learned. A lot of comparative experiments conducted on three visual-tactile datasets validate the advantage of the proposed PVTF framework, by comparing with state-of-the-art baselines.
Rotavirus Infection Among Hospitalized Children With Gastroenteritis in A Teaching Hospital in Central Iran: A Cross-Sectional Study

Background Human Rotaviruses are important causative agent of acute gastroenteritis among young children globally. Therefore, the study of diarrheal samples obtained from children in order to determine the prevalence and dominant genotypes of Rotavirus is indispensable to prevent inappropriate prescription of antibiotics and to assess the necessity of vaccine immunization. We aimed to investigate the prevalence of Rotavirus infections among children with acute diarrhea and to study the association of the disease with paraclinical parameters in Qom, central Iran. Methods We collected stool samples from children admitted with acute diarrhea to a teaching hospital. Enzyme-Linked-Immunosorbent Assay (ELISA) was used to detect Rotavirus antigens. Blood samples were taken to measure CBC, ESR, and CRP levels. Findings: Rotavirus was detected in 21.4% (40/199) of the samples. The mean age of children in this study was 8/2 ± 2/3 years. There was a statistically significant difference between no increase in WBC, PMN, CRP and ESR in children with rotavirus infection. Conclusion Our study showed a lower prevalence of Rotavirus infections in hospitalized children compared to previous studies. We suggest that in addition to Rotavirus detection using PCR and genotyping, other viruses should be sought for detection of causative agent of diarrhea in children.
Development of instrumentation for a study on relationship between integrated management system and innovation performance in Malaysia Green building industry

A questionnaire is a vital research instrument consisting of a series of questions for the purpose of gathering information from respondents. Most psychological research required an instrument that shall be valid and reliable to investigate that particular study’s intended variables. Eventually, such an instrument that fits the study is very rare. So, a need was felt to develop a suitable and reliable tool for the same purpose. To develop an instrument for measuring variables, i.e., Integrated Management System and Innovation Performance, and to test its reliability and validity. A draft of the 59-item scale was developed, which comprises 14 items in the demographics section and 45 measurement items. The tool’s content validity was established by accepting items that range in between 75% to 90% of the validity index for each item. To test the instrument’s reliability, a pilot study was conducted where the instrument is applied to 30 respondents representing 30 different organisations involved in building construction. The instrument passes the content validity with an index of . 78 while it has no significant face validity issues. Statistical analyses showed excellent internal consistency by Cronbach’s alpha which all variables are above 0.8. The instrument has acceptable properties (i.e., valid and reliable) and is suitable for measuring the intended variables, i.e., IMS and IP. It is recommended to be further tested for construct validity.
Surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry: a fast method to assess pork quality

The objective of this study was to evaluate the potential of proteomic markers to predict the quality of pork loin. With this purpose 120 pigs from 4 different pure breeds (Duroc, Landrace, Large White and Piétrain) were sampled. After processing, the technological and sensory characteristics of cooked loins were assessed. Surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS) with three different ProteinChip arrays (CM10, Q10, IMAC30) was used to obtain the proteomic profiles of water soluble proteins. This study showed some associations between protein peaks obtained with SELDI-TOF-MS and quality traits. Keywords— SELDI-TOF MS, pork quality, proteomic markers
Areas of endemism of small mammals are underprotected in the Atlantic Forest

Atlantic Forest (AF) is amongst the most threatened forests in the world. To decide where conservation efforts should be focused to preserve species, assessment of ecological and biogeographic processes nowadays are crucial. Patterns of the distribution of organisms can provide an important source of information underlying the biogeographical history of a biota. Here, our main objective was to identify Areas of Endemism (AoE) for non-volant small mammals in the AF and to investigate if those AoE are covered by protected areas. We performed quantitative and qualitative approaches to delimit AoE and calculated the area overlaid by Conservation Units (CU) within each AoE. Our results supported the recognition of seven AoE for small mammals in the AF, which largely are congruent with previous studies undertaken on other organisms, thereby highlighting the importance of those regions as hotspots of endemism. Most of the AoE recovered in the present study have less than 12% of their territory covered by forest remnants, and less than 11% of their entire range is under legal protection. These findings bring to light an important discussion on how information pertaining to the representativeness of CU within regions of high endemicity could help to identify areas in need of urgent protection within a threatened biodiversity hotspot.
Benchmarking of Oil and Gas Pipeline Companies in British Columbia: Integrating Integrity Management Program and Safety Culture Using a Risk-Based Approach

Abstract Oil and Gas (O&G) is one of the largest industrial sectors around the world and threatens both humans and environment. Both the companies and regulatory authorities consistently commit resources to improve their integrity management programs (IMPs) and safety culture maturity (SCM). Internal and external audits, public surveys, and benchmarking techniques are being used for discretely assessing both the IMPs and SCM. A novel risk-based benchmarking framework establishes logical relationships between IMP components and their contributions toward SCM attributes using failure mode effects analysis (FMEA). The framework evaluates 88 small, medium, and large-sized O&G companies operating in British Columbia (Canada) using the data from compliance audits for the period between 2011 and 2016. The results revealed that effective communication, updated protocols, and strict follow ups by the regulator with the operating companies improve both the IMP and SCM. The framework identifies the underperforming components for effective improvements and is a paradigm shift from the conventional twofold auditing process to a more efficient and time-saving practice.
ANALISIS KINETIKA PELEPASAN TEOFILIN DARI GRANUL MATRIKS KITOSAN

Moment the drug dosage form development, it is important to study the drug release or dissolution that is recognized as an element in drug development. Mathematical models could help optimize the design of drugs to produce models of drug release information. Analysis of quantitative values obtained when depicting dissolution drug release profiles more easily when the mathematical concepts used to describe the drug release kinetics model. Model release of drugs known include zero order, first order, Higuchi models, models Hixon Crowell and Peppas Korsmeyer models. The purpose of this review apply mathematical concepts to study the phenomenon of drug release theophylline granules matrix made from chitosan
Lattice Boltzmann Method in Modeling Biofilm Formation, Growth and Detachment

Biofilms are a complex and heterogeneous aggregation of multiple populations of microorganisms linked together by their excretion of extracellular polymer substances (EPS). Biofilms can cause many serious problems, such as chronic infections, food contamination and equipment corrosion, although they can be useful for constructive purposes, such as in wastewater treatment, heavy metal removal from hazardous waste sites, biofuel production, power generation through microbial fuel cells and microbially enhanced oil recovery; however, biofilm formation and growth are complex due to interactions among physicochemical and biological processes under operational and environmental conditions. Advanced numerical modeling techniques using the lattice Boltzmann method (LBM) are enabling the prediction of biofilm formation and growth and microbial community structures. This study is the first attempt to perform a general review on major contributions to LBM-based biofilm models, ranging from pioneering efforts to more recent progress. We present our understanding of the modeling of biofilm formation, growth and detachment using LBM-based models and present the fundamental aspects of various LBM-based biofilm models. We describe how the LBM couples with cellular automata (CA) and individual-based model (IbM) approaches and discuss their applications in assessing the spatiotemporal distribution of biofilms and their associated parameters and evaluating bioconversion efficiency. Finally, we discuss the main features and drawbacks of LBM-based biofilm models from ecological and biotechnological perspectives and identify current knowledge gaps and future research priorities.
All-gather Algorithms Resilient to Imbalanced Process Arrival Patterns

Two novel algorithms for the all-gather operation resilient to imbalanced process arrival patterns (PATs) are presented. The first one, Background Disseminated Ring (BDR), is based on the regular parallel ring algorithm often supplied in MPI implementations and exploits an auxiliary background thread for early data exchange from faster processes to accelerate the performed all-gather operation. The other algorithm, Background Sorted Linear synchronized tree with Broadcast (BSLB), is built upon the already existing PAP-aware gather algorithm, that is, Background Sorted Linear Synchronized tree (BSLS), followed by a regular broadcast distributing gathered data to all participating processes. The background of the imbalanced PAP subject is described, along with the PAP monitoring and evaluation topics. An experimental evaluation of the algorithms based on a proposed mini-benchmark is presented. The mini-benchmark was performed over 2,000 times in a typical HPC cluster architecture with homogeneous compute nodes. The obtained results are analyzed according to different PATs, data sizes, and process numbers, showing that the proposed optimization works well for various configurations, is scalable, and can significantly reduce the all-gather elapsed times, in our case, up to factor 1.9 or 47% in comparison with the best state-of-the-art solution.
A Study on Indoor Particulate Matter Variation in Time Based on Count and Sizes and in Relation to Meteorological Conditions

An important aspect of air pollution analysis consists of the varied presence of particulate matter in analyzed air samples. In this respect, the present work aims to present a case study regarding the evolution in time of quantified particulate matter of different sizes. This study is based on data acquisitioned in an indoor location, already used in a former particulate matter-related article; thus, it can be considered as a continuation of that study, with the general aim to demonstrate the necessity to expand the existing network for pollution monitoring. Besides particle matter quantification, a correlation of the obtained results is also presented against meteorological data acquisitioned by the National Air Quality Monitoring Network. The transformation of quantified PM data in mass per volume and a comparison with other results are also addressed.
When is enough, enough? Questions of sampling in vertebrate ichnology

Sample size is a challenge for most field scientists determined not by the statistically ideal, but by the available. In vertebrate ichnology, track length is an important variable correlating well with the track‐maker’s biology. It is also key to estimating the minimum number of individuals (MNI) present on a trampled horizon. Broad assumptions on biometrics of the track‐makers are often made based on a few prints without consideration for intra‐trackway variability. In this study we use a simple bootstrapping algorithm to explore variance within sample size for a range of trackways with fossil and experimental examples to determine the minimum sample size required to extract linear measurements. Predictably, experimentation shows that inter‐step variability changes with track‐maker and substrate, but the degree of variance is not as marked as previously anticipated. Change‐point modelling suggests that a maximum sample size of 22–25 captures most of the variance present in track length at least; another threshold at 7–10 has been identified, which represents the reasonable sample size minimum. Samples of fewer than seven tracks are subject to large amounts of potential variance and are unlikely to provide reliable and consistent measurements. These sampling thresholds hold across a wide range of depositional environments and track‐makers. We calculate generic standard errors for human track‐makers which may assist the practitioner with small samples to estimate the likely errors, especially when making MNI estimates. The challenge is placed to the wider vertebrate ichnology to explore this issue for other track‐makers and develop similar guidance.
First-principles modeling of the infrared spectrum of antigorite

Abstract. The infrared absorption spectrum of a natural antigorite sample from New Caledonia is compared to its theoretical counterpart computed for the pristine antigorite m=17 polysome within the density functional perturbation theory framework. The theoretical model reproduces most of the bands related to Si-O stretching in the 800–1300 cm−1 range, OH libration, hindered OH translation and SiO4 bending in the 400–800 cm−1 range, and OH stretching in the 3500–3700 cm−1 range. Most of the observed bands have a composite nature involving several vibrational modes contributing to their intensity, except the apical and one of the basal Si-O stretching bands whose intensity is carried by a single mode. The peculiarity of the antigorite structure favors a localization of the Si-O and OH stretching modes in specific regions of the unit cell. Weaker Si-O stretching bands experimentally observed at 1205 and 1130 cm−1 are related to the occurrence of 6- and 8-reversals in the antigorite structure, respectively. The distribution of OH bond lengths leads to an asymmetric distribution of frequencies consistent with the width and the shape of the experimentally observed OH stretching band. It also leads to a strong distribution of OH libration frequencies ranging from 600 to 830 cm−1 explaining the asymmetry of the band observed at 648 cm−1 in the antigorite spectrum.