Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of rumen protected amino acid supplementation on performance of Holstein cows fed rations containing high levels of canola meal

Use of canola meal (CM) and dried corn distillers grains with solubles (DDGS) as major supplemental protein sources are common practice in North American dairy rations and usage of both is projected to increase in the future. Since limited data is available on performance of cows fed rations with different ratios of CM and DDGS, our objective was to determine the optimal ratio of CM to DDGS protein in a contemporary lactation dairy ration by feeding combinations of CM and high protein DDG (HPDDG) to early lactation multiparity dairy cows. The experiment was a 4 x 4 Latin square with 28 d periods using four pens of ~320 high producing cows/pen. Treatments were created by varying the amounts of CM and HPDDG added on a DM basis to be: (1) 0 g CM/kg and 200 g/kg HPDDG, (2) 65 g CM/kg and 135 g/kg HPDDG, (3) 135 g CM/kg and 65 g/kg HPDDG, (4) 200 g CM/kg and 0 g/kg HPDDG. Dry matter intake was not affected by the CM/HPDDG ratio in the ration. Milk and lactose yield, true protein (TP) concentration and yield, milk fat yield as well as milk energy output increased at a decreasing rate with a higher CM/HPDDG ratio. Maximum values for milk and TP yield were at ~135 g CM/kg, while lactose, TP concentration and milk energy were maximized at ~120 g CM/kg inclusion. Milk fat concentration and milk energy density decreased linearly with higher CM inclusion. Body condition score change responded quadratically with the highest gain at ~120 g CM/kg inclusion. The purine derivative to creatinine index increased linearly with higher CM inclusion levels, suggesting that microbial protein production (MCP) was limited in the 0 g CM/kg ration and was progressively stimulated by higher feeding levels of CM. Plasma AA concentrations suggest that the reduction in lysine in dietary protein, together with the decrease in MCP synthesis, resulted in a substantial reduction in lysine available for milk production, thereby limiting performance in the higher HPDDG ration. The only AA which decreased in plasma with higher CM feeding levels were phenylalanine, leucine and methionine. That the concentration of leucine in the plasma was still decreasing linearly, while methionine and phenylalanine responded quadratically at the 200 g CM/kg treatment, was interpreted to suggest that the leucine supply remained higher than its requirement at the highest CM inclusion level, but that phenylalanine and/or methionine was limiting production in the highest CM ration. Overall, results suggest that the optimum ratio of CM to HPDDG in these rations was with 120 to 135 g/kg of ration DM from CM.
Engineering supramolecular organizing centers for optogenetic control of innate immune responses

The spatiotemporal organization of oligomeric protein complexes and translocons, such as the supramolecular organizing centers (SMOC) made of MyDDosome and MAVSome, are essential for transcriptional activation of host inflammatory responses and immune metabolisms. Light-inducible assembly of MyDDosome and MAVSome are presented herein to induce activation of nuclear factor-kB (NF-κB) and type-I interferons (IFNs). Engineering of SMOCs and the downstream transcription factor permits programmable and customized innate immune operations in a light-dependent manner. These synthetic molecular tools will likely enable optical and user-defined modulation of innate immunity at a high spatiotemporal resolution to facilitate mechanistic studies of distinct modes of innate immune activations and potential intervention of immune disorders and cancer.
O Ensino de Cartografia para Pessoas Cegas: Transformações Metodológicas, Tecnológicas e Perspectivas

In this review article it is presented the art state of Tactile Cartography based on its advances and challenges. First, it shows the historical profile at the international and national levels, with an emphasis on publications dating from the 20th and 21st centuries. Afterwards, it discuss on the theoretical and methodological contribution that indicates the propensity to deal with the themes of Geography and Cartography in Education based on research that has theories of Piaget or Vygotsky as its main basis. As research challenges to be faced, there is the standardization of the Tactile Cartographic language, tactile maps production and printing consensus, but mainly, the map teaching methodology for blind students. The final discussions, which guide the contributions indication, are based on experiences with blind students and show the importance of the blind child cartographic initiation from the initiation to drawing, even in the preschool phase, with languages mediation and surrounding environment exploration using their own body as a reference.
Higher Retirement Age? Trend And Growth Analysis Of Labour Market In Malaysia

The government of Malaysia has recently been urged to increase the mandatory retirement age of employees from 60 to 65 years old. It prompted many reactions from the netizens, labour unions, politicians as well as the publics. Some say the higher retirement age will thwart the country’s development as the younger generation will have less job opportunities. However, some say by raising the retirement age, the economic growth would be better as life expectancy of people has increased and the country is lacking of workforces. This paper descriptively examines the impact of increasing the retirement age from perspective of demographic and health, graduates’ labour market and the government’s fiscal policy. The analysis canvasses several financial and non-financial indicators provided by Bank Negara Malaysia, Department of Statistics, Ministry of Education and Ministry of Finance. The analysis generally concluded that at current economic growth, recent trend of graduates’ labour market and current demography and health pattern, Malaysia is not yet ready to increase the retirement age to 65.
PILLARS OF SUSTAINABLE DEVELOPMENT–LAND CAPABILITY AND CONCEPTUAL PROJECT DESIGN

Conserving land capability is a pillar of sustainable development strategy. Land units comprising unique combinations of native vegetation, soils, geology, and landforms are used to interpret local environmental processes and land capabilities. An emerging practice is extrapolation modeling of edaphic parameter surfaces in Digital Soil Mapping (DSM) using statistical correlation. Commercial studies of land capability for sustainable development, including a mine closure in a national park, another closure for grazing land restoral, urban stormwater flood mitigation, and wind farm development in plantation forestry, are presented to illustrate applications and review the utility of DSM data. The first case, a mine closure plan in Kakadu National Park in the Arnhem Land region of Australia’s Northern Territory, involved the application of ecological methods to identify land unit patterns and design soil covers to support land capability for biodiversity. Species distribution models with good predictive performance (Receiver Operating Characteristic, ROC > 0.8) were used to assess biodiversity outcomes in the conceptual mine landform design. The second case, a coal project near Rockhampton in Central Queensland, assessed land capability from routine soil surveys and land unit mapping to plan mine rehabilitation for grazing land use. The third case, an end-of-pipe stormwater detention basin in Darwin, discussed the justification for capital works and low impact urban development practices. The fourth case involved the decommissioning of a wind farm project on a forestry plantation near Maryborough, Central Queensland. The study used surveyed soil and landscape properties and modeled DSM data with plant-available soil water capacity to three meters depth to evaluate the forest site quality and quantify the potential production loss. Applications of land capability for sustainability planning are demonstrated, and the utility of edaphic modeling is discussed. Uncertainty in DSM data and the implications for interpreting land capability need to be more clearly communicated.
An Extractive Chat Summary Generation Method for Ecommerce Chatbots

The usage of chatbot for handling the conversations is gradually increasing. By using this technique, companies can provide a real-time and efficient channel to deliver the information to their users. Chatbot can response significant volume of frequent-asked and typical questions, which is bound to reduce the company human resource consumption. However, sometimes a chatbot cannot satisfy users with the provided answers, in such situation, chatbot should be transferred to an agent in order to handle the rest of the conversation. A concise summary of the user utterances helps the agent to handle the rest of the chat without raising annoying delay. Because the dialog between chatbots and user is fragmented and informal when compared to classic summarization dataset, high complexity models often have difficulty in achieving ideal results. In this paper, we present an extractive chat summarization system to provide a concise summary of the discussed topics in chat. We conclude three groups of critical and universally applicable features dedicated to summarization tasks and use the features to extract keywords for ranking sentences’ importance in the chat. We evaluate supervised and unsupervised methods for keyword extraction and generate the summary by combining selected sentences with specific rules. We compare our obtained results with two state-of-art, deep learning based methods over a new chatlog dataset. Experimental results reveal our method to be more effective and efficient than currently popular, high complexity methods.
Black Box Modelling and Simulating the Dynamic Indoor Air Temperature of a Laboratory Using the Continuous-Time Transfer Function Model

The air conditioner is one of the devices that uses a high amount of electricity – more electricity consumption means more heat and greenhouse gases emitted to the environment if the electricity is generated by fossil fuel sources such as coal, diesel, natural gas etc. Energy-efficient control algorithms and strategies can be proposed to reduce the power consumption without sacrificing thermal comfort – time and cost can be saved by developing and testing these control algorithms and strategies via computer simulation instead of developing and testing them on the actual site, but this requires the availability of the mathematical model representing the dynamic behaviour of the system that is desired to be simulated. In this research, a black box model representing the dynamic indoor air temperature behaviour of the Industrial Instrumentation Laboratory at Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM) Kuala Lumpur is developed based on the continuoustime transfer function model using the System Identification ToolboxTM in MATLAB® software to get a new model with a simpler model structure for a more practical simulation than the autoregressive–moving-average (ARMA) model developed in the previous research representing the same behaviour without sacrificing a significant level of accuracy. Both the continuoustime transfer function model and the ARMA model are developed based on the actual recorded data from the laboratory and minimal physical characteristics knowledge of the laboratory. The result shows that the optimised continuous-time transfer function model generated by the System Identification ToolboxTM in this research has a significantly simpler model structure than the optimised ARMA model developed in the previous research (standardised eight poles and two zeros for all inputs versus standardised 41 past inputs and outputs for all inputs and output), and only slightly less accurate in terms of percentage of fitting, %Fit value (82.60% and 80.17% versus 87.45% and 80.36% for training and testing data set).
Eosinophilic crystalline pneumonia, an age-related lesion in mice

Eosinophilic crystalline pneumonia (ECP), also known as acidophilic macrophage pneumonia (AMP), is a common intrapulmonary lesion that increases in prevalence with age in mice, especially those on a C57BL/6 and 129Sv background. Gross changes may be evident in severe cases as lobar to diffuse red to brown foci throughout the lungs, which fail to collapse. Definitive diagnosis is by histopathology, which shows the accumulation of brightly eosinophilic crystals within macrophages or free within lumens of alveolar spaces and conducting airways. Granulocytes, multinucleated giant cells, and epithelial hyalinosis may also be present in affected areas of the lung. The disease may represent a cause of morbidity and mortality when other disease processes interfere with clearance, leading to the accumulation of crystals and crystal laden macrophages in airways, resulting in dyspnea. Other anatomic locations may be affected by epithelial hyalinosis and/or crystals as part of the syndrome, including respiratory tract, stomach, gall bladder, bile duct, and pancreatic duct.
Binding Free Energy and the structural changes determination in hGH protein with different concentrations of copper ions (A molecular dynamics simulation study)

In this study, we estimated the optimum concentration of copper ions that are effective in the stability and the structural changes of human growth hormone (hGH) protein in the combination of different concentrations of these ions at the molecular level using molecular dynamics simulation by Gromacs 4.6. 5 software. Moreover, to estimate the binding affinity of copper ions to hGH protein, binding free energies is calculated by the molecular mechanics Poisson–Boltzmann Surface Area (MM-PBSA). The analysis of molecular dynamics (MD) trajectories as dictionary of the secondary structure of protein (DSSP), solvent accessible surface area (SASA) and binding free energy calculations show that hGH protein structure is more stabilized by increasing a limited concentration of copper ions. These findings align with our previous experimental studies.
Osteochondral scaffolds for early treatment of cartilage defects in osteoarthritic joints: from bench to clinic

ABSTRACT Osteoarthritis is a degenerative joint disease, typified by the loss in the quality of cartilage and bone at the interface of a synovial joint, resulting in pain, stiffness and reduced mobility. The current surgical treatment for advanced stages of the disease is joint replacement, where the non-surgical therapeutic options or less invasive surgical treatments are no longer effective. These are major surgical procedures which have a substantial impact on patients’ quality of life and lifetime risk of requiring revision surgery. Treatments using regenerative methods such as tissue engineering methods have been established and are promising for the early treatment of cartilage degeneration in osteoarthritis joints. In this approach, 3-dimensional scaffolds (with or without cells) are employed to provide support for tissue growth. However, none of the currently available tissue engineering and regenerative medicine products promotes satisfactory durable regeneration of large cartilage defects. Herein, we discuss the current regenerative treatment options for cartilage and osteochondral (cartilage and underlying subchondral bone) defects in the articulating joints. We further identify the main hurdles in osteochondral scaffold development for achieving satisfactory and durable regeneration of osteochondral tissues. The evolution of the osteochondral scaffolds – from monophasic to multiphasic constructs – is overviewed and the osteochondral scaffolds that have progressed to clinical trials are examined with respect to their clinical performances and their potential impact on the clinical practices. Development of an osteochondral scaffold which bridges the gap between small defect treatment and joint replacement is still a grand challenge. Such scaffold could be used for early treatment of cartilage and osteochondral defects at early stage of osteoarthritis and could either negate or delay the need for joint replacements.
Słowniki w dobie digitalizacji na przykładzie Słownika wyrazów bliskoznacznych współczesnego języka słoweńskiego (Slovar sopomenk sodobne slovenščine)

Dictionaries in the Age of Digitisation: An Example of the Thesaurus of Modern Slovene (Slovar sopomenk sodobne slovenščine)The digital revolution enables publishing dictionaries in a digital version, which significantly facilitates access to them by their users, who are no longer mere recipients of the content: their potential is viewed as useful in (co-)editing dictionaries. These changes also enable the introduction of new solutions to improve editorial work. One case in point is the Thesaurus of Modern Slovene (Slovar sopomenk sodobne slovenščine) – the first responsive dictionary, generated mostly automatically based on available language data, which responds both to language changes as well as to the habits and needs of its users. Their opinions and proposals have become integral part of its concept through crowdsourcing. Słowniki w dobie digitalizacji na przykładzie Słownika wyrazów bliskoznacznych współczesnego języka słoweńskiego (Slovar sopomenk sodobne slovenščine)Rewolucja cyfrowa umożliwia udostępnianie słowników w wersji cyfrowej, co znacząco ułatwia dostęp do nich użytkownikom, którzy nie są już tylko odbiorcami treści, ale dostrzega się także ich potencjał przy (współ)redagowaniu słowników. Dzięki niej możliwe jest także wprowadzanie nowych rozwiązań usprawniających prace redakcyjne. Jednym z przykładów jest słoweński Słownik wyrazów bliskoznacznych współczesnego języka słoweńskiego (Slovar sopomenk sodobne slovenščine) – pierwszy słownik reagujący, wygenerowany w większości automatycznie na podstawie dostępnych danych językowych, który reaguje zarówno na zachodzące w języku zmiany, jak i zwyczaje i potrzeby jego użytkowników, których opinie i propozycje stały się jego integralną częścią dzięki zastosowaniu crowdsourcingu.
Cyclic nucleotide in oocyte In vitro maturation in Assisted Reproductive Technology

Article Info History Received: 07 Dec 2020 Accepted: 23 Dec 2020 Available: 31 Dec 2020 Abstract In vitro maturation (IVM) is a promising assisted reproductive technology (ART) for human infertility treatment. However, when cumulus oocyte complexes (COCs) are removed from their follicular environment when manipulated in vitro, it can lead to a decrease of intra-oocyte cyclic adenosine 3’, 5’-monophosphare (cAMP) causing spontaneous nuclear maturation and an asynchrony with the oocytes’ cytoplasmic maturation, resulting in poor embryo developmental outcomes. Nuclear and cytoplasmic synchrony is important during oocyte maturation within antral follicles. It is maintained partially by the actions of c-type natriuretic peptide (CNP) binding with natriuretic peptide receptor 2 (NPR2), supporting high cAMP levels thus holding the oocyte in meiotic arrest. Addition of CNP to pre-IVM media has the capacity of maintaining cAMP levels and thus improve synchrony. Moreover, in women with advanced maternal age, successful IVM of aging oocytes faces significant challenges due to the morphological and cellular changes. Inhibiting initiation of nuclear maturation by cAMP modulator, CNP during pre-IVM period and thus improve oocyte developmental competence regardless of oocyte age.
Determining and evaluating socially sustainable supply chain criteria in agri-sector of developing countries: insights from West Africa cashew industry

Abstract Social sustainability issues such as labour rights concern in the agricultural sector receive significant attention from several stakeholders. The role of small and medium scale enterprises (SMEs) that dominate the sector’s supply chain in developing countries remains critical in implementing initiatives to address these issues. Through a four-phase methodology, this study proposed the criteria of a socially sustainable supply chain (SSSC) guided by ISO 26000 and based on empirical evidence from the cashew industry. Subsequently, based on the Best worst method and Grey relational analysis, the criteria are evaluated by cashew manufacturing SME managers to determine how SSSC initiatives can be implemented. The study shows that food safety, labour and work condition, traceability, and child and force/prison labour emerge in order of importance as a pathway for implementation of SSSC. The study also provides insight into achieving SSSC among various manufacturing SMEs and understanding their assessed SSSC performance. The study suggests that agricultural sector SMEs that implement SSSC practices through social compliance or collaborations are more aware of the implementation challenges. On the other hand, SMEs that generate SSSC practices may perceive their social sustainability performance in the supply chain much higher than adopters who meet customers’ sustainability requirements.
Fractal rigidity of the wheel-rail contact

One of the essential parameters of the roughness with effects on the vibration of the wheel and the rail is the contact stiffness. This rigidity considers the geometry and material of the wheel and rail, which are considered elastic. Also, the micro-geometry of the roughness and the load on the wheel, with elastic, elastoplastic and plastic deformations, depending on the deterministic or random character of the roughness were considered. The dependence of the stiffness on the deformation state of the roughness may explain the different amplitude of the vertical vibrations at the same force on the wheel and the same height of the roughness, but one roughness with different fractal parameters. For the analysis of the dynamic forces in contact, the continuous and underived analytical function that modelled the roughness measured experimentally on the rail was applied.
Lifting the numbers game: identifying key input variables and a best‐performing model to detect financial statement fraud

This study enables practitioners and researchers to make an informed choice for a financial statement fraud detection model, rather than defaulting to popular, yet dated, models. Using a specifically devised performance criterion, our newly configured ensemble outperforms 31 others in the most comprehensive comparison to date spanning parametric, non-parametric, big data and ensemble techniques. We use a large set of input variables and holdout data relative to prior studies. We find empirical support for financial and non-financial variables covering the three Fraud Triangle factors. New findings include fraud risk being reduced with more debt, likely from increased monitoring by creditors
Se nourrir par l’agriculture périurbaine à São Paulo

Cet article propose une analyse geographique des relations ville campagne a Sao Paulo, articulee au courant d’etudes sur la justice alimentaire. Dans un contexte ou les politiques publiques sont influencees par les paradigmes de transition, l’enjeu de la relocalisation de l’alimentation semble favorable a une revalorisation de l’agriculture periurbaine. A Sao Paulo, metropole emergente d’un pays des Suds marque par une forte polarisation socio-spatiale, les enjeux socio-economiques, symboliques et politiques d’une reterritorialisation de l’approvisionnement meritent d’etre interroges. Notre hypothese est que l’agriculture periurbaine, peu soutenue par les politiques publiques, pourrait contribuer a suppleer a un systeme alimentaire inegalitaire et a creer un « vivrier marchand » qui beneficierait aux habitants pauvres de la metropole. Ces populations defavorisees vivent dans des marges caracterisees comme des deserts alimentaires et sont les plus touchees par les maladies nutritionnelles (diabete, obesite) causees par la malnutrition.