Miracle-dz/UniFAR-FTUs huggingface dataset:
PROGNOSTIC RELEVANCE OF LEUKOCYTE ASSOCIATED IMMUNOGLOBULIN LIKE RECEPTOR-1 (CD305) IN CHRONIC LYMPHOCYTIC LEUKEMIA

Background:Chronic lymphocytic leukemia (CLL), is a malignant disorder of lymphocytes, that affects lymph cells or lymphocytes that make lymphatic tissue. Leukocyte associated immunoglobulin like receptor1 (LAIR-1) or (CD 305) expressed by B-cells as an immune inhibitory marker of B cell receptor (BCR)mediated signaling, that control cell proliferationpathways Objectives:Assessment the role of CD 305 as a prognostic factor.Its relation with other clinic-pathological variables. Subjects and Methods: This cross sectional study was conducted on 98 newlydiagnosedCLLpatients based on peripheral blood film finding, bone marrow morphology and flowcytometerydepend on the antigenic profile, with high scoring system (Matutes score> 3) (2). Clinical and laboratory assessment were done including staging by modified Rai staging system into low, intermediate and high risk groups, absolute lymphocytes count in addition to Hb and platelets count assessment, followup for about 6-12 months including all patients whose stage need treatment or notand assessment ofremission stateis done by complete blood count, bone marrow morphology and evaluation of minimal residual disease , CD38 assessment and LAIR-1 expression on B cells were measured by flowcytometryat diagnosis, the latter was related to clinical and laboratory prognostic variables.Results: LAIR-1 was negatively expressed in those of high risk group according to Rai staging system (stage III-IV) and positive expression in those of low and intermediate risk groups (stage 0-II), the P value ,0.009. LAIR-1was negatively correlate to age, hemoglobin, platelets count. LAIR-1 was significantly present in relation some prognostic factors like CD 38 and lymphocytes count, the P value was 0.037 and 0.021 respectively. Conclusion:CD305 expression can be used as simple reliable, inexpensive independent prognostic factor in CLL patients in addition to predict at presentation patients who will initiate chemotherapy early.
Updates on WAGE

In this document, we report the activity progress of the WAGE authenticated cipher after the round 2 submission to NIST. The following activities were performed on WAGE : additional security analysis, proposing side-channel countermeasures and their evaluation in hardware and software, additional feature as pseudorandom bit generator, and some usecase studies for Internet of Things (IoT) protocol applications. We also propose a tweak to increase the throughput of WAGE .
Complex Training with Minimal Recovery Intervals and their Effect on CMJ Performance in Professional Male Rugby Union Players

Rugby union is a high intensity intermittent sport with repeated bouts of maximal efforts where impacts frequently occur above 10G and players can undergo 0.89 collisions per minute [1]. In a single match, professional rugby players can undergo 89 bouts of static exertions, as many as 59 bouts of high intensity running and be involved in up to 35 rucks [2]. Therefore, the ability to produce large muscular power outputs is considered crucial for successful performance [3]. Consequently, resistance training aimed at increasing maximum strength and improving power outputs have become an integral part of a professional player’s preparation. However, due to the rigours of the modern-day training schedule, improving an athlete’s strength and power capabilities during the competitive season can be difficult [4]. Consequently, time efficient methods that combine different forms of training such as Complex Training (CT) can be advantageous when programming an athlete’s weekly schedule.
Model-free and Model-based Learning as Joint Drivers of Investor Behavior

In the past decade, researchers in psychology and neuroscience studying human decision-making have increasingly adopted a framework that combines two systems, namely “model-free” and “model-based” learning. We import this framework into a simple ﬁnancial setting, study its properties, and link it to a wide range of applications. We show that it provides a foundation for extrapolative demand and experience eﬀects; resolves a puzzling disconnect between investor allocations and beliefs in both the frequency domain and the cross-section; helps explain the dispersion in stock market allocations across investors as well as the inertia in these allocations over time; and sheds light on the persistence of household investment mistakes. More broadly, the framework oﬀers a way of thinking about individual behavior that is grounded in recent evidence on the computations that the brain undertakes when estimating the value of a course of action.
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs

An open-domain knowledge graph (KG) has entities as nodes and natural language relations as edges, and is constructed by extracting (subject, relation, object) triples from text. The task of open-domain link prediction is to infer missing relations in the KG. Previous work has used standard link prediction for the task. Since triples are extracted from text, we can ground them in the larger textual context in which they were originally found. However, standard link prediction methods only rely on the KG structure and ignore the textual context that each triple was extracted from. In this paper, we introduce the new task of open-domain contextual link prediction which has access to both the textual context and the KG structure to perform link prediction. We build a dataset for the task and propose a model for it. Our experiments show that context is crucial in predicting missing relations. We also demonstrate the utility of contextual link prediction in discovering context-independent en-tailments between relations, in the form of entailment graphs (EG), in which the nodes are the relations. The reverse holds too: context-independent EGs assist in predicting relations in context.
Prevalence of MDR salmonellae with increasing frequency of S. Kentucky and S. Virchow serovars among hospitalized diarrheal cases in and around Delhi, India.

Non-typhoidal salmonellae (NTS) are a major cause of acute diarrhea with characteristic multidrug resistance. In a hospital based study, 81 NTS were isolated and tested for serotypes and antimicrobial resistance (AMR). Salmonella enterica isolates were classified into 7 different typable serovars and 19 (23%) isolates remained untypable. The most common serovars were S. Kentucky (48%), and S. Virchow (22%). Most of the NTS isolates displayed resistance to nalidixic acid (73%), ciprofloxacin (48%), ampicillin and norfloxacin (36% each) and gentamicin (31%). The AMR profiles for gentamicin and nalidixic acid (CN-NA) and ampicillin, ciprofloxacin, nalidixic acid and norfloxacin (AM-CIP-NA-NOR) were found to be high in S. Virchow (83%) and S. Kentucky (43%), respectively. Analysis of pulsed-field gel electrophoresis patterns of S. Kentucky revealed three clusters. The appearance of closely related clones of S. Kentucky in Delhi has been prominent in recent years. The AMR appears to be constant with a change in MDR patterns during 2014-2017. Prevalence of S. Kentucky, S. Virchow in large number of diarrheal cases was recorded for the first time. The NTS are mostly resistant to fluoroquinolones, which is the current drug of choice for treating diarrheal cases. MDR is very common among clonally related S. Kentucky.
EVALUATION OF THE IMMUNE RESPONSE OF TURKISH FMD VACCINE IN IRAQI AWASSI SHEEP EXPERIMENTALLY

This work was designed to determine the protective immune response of widely used FMD vaccines in Iraqi Awassi sheep experimentally . Sixteen Awassi sheep were selected as seronegative for FMD (8 male and 8 female) 9-12 months aged divided into vaccinated group and control group (8 animals for each group), sheep in vaccinated group inoculated by 1 ml of trivalent FMD vaccine subcutaneously in right axilla and the control groups gave 1 ml of sterile PBS at same site, serums were collected from all experiment at o, 14,21,28,42,60 days post vaccination(DPV), so booster dose was inoculated at day 42 post vaccination to four (4) animals in vaccinated group. LPB-ELISA exhibited peak of antibodies against A FMDV serotype (0.695± 0.06) at 28 DPV, that higher significantly than Abs against O serotype (0.562 ± 0.2), and interestingly, the booster dose at 42 DPV increased Abs titer against O strain (0.829 ± 0.153) significantly higher than against A strain (0.783 ± 0.12) This vaccine, enhance cellular immune response by increase the concentrations of IL4 and INF-Ý that measuring by commercial kits, IL4 concentration elevated and the peak reach at 28 days of experiment (14.62 ± 0.48), but the significant increase of INF production at 28 days of experiment when compare vaccinated group (162.2 ± 12.) with control group (145.7 ± 5.07) and the higher peak of INF concentration recorded in 42 days post vaccination (175.6 ±20) We concluded, the vaccination against FMD in Awassi sheep by commercial vaccine (Turkish) was enhancement humeral immune response especially against A serotype, so it effective to stimulate cellular immune response and produce protective immune response against FMD, and the booster dose of vaccine is recommended .
WORKING PAPER SERIES DYNAMIC BANKING AND THE VALUE OF DEPOSITS

We propose a dynamic theory of banking where the role of deposits is akin to that of productive capital in the classical Q-theory of investment for non-financial firms. As a key source of leverage, deposits create value for well-capitalized banks. However, unlike productive capital of nonfinancial firms that typically has a positive marginal q, the deposit q can turn negative for undercapitalized banks. Demand deposit accounts commit banks to allow holders to withdraw or deposit funds at will, so banks cannot perfectly control leverage. Therefore, for banks with insufficient capital to buffer risk, deposit inflow destroys value through the uncertainty it brings in future leverage. This intertemporal channel complements the focus of static models on value destruction of deposit outflow and bank run. Our model predictions on bank valuation and dynamic asset-liability management are broadly consistent with the evidence. Moreover, our model lends itself to a re-evaluation of the costs and benefits of leverage regulation, offers alternative perspectives on banking in a low interest rate environment, and reveals new aspects of deposit market power that has unique implications on bank franchise value. Patrick Bolton Columbia Business School 804 Uris Hall New York, NY 10027 and NBER pb2208@columbia.edu Ye Li The Ohio State University Fisher College of Business 2100 Neil Ave Fisher Hall 836 Columbus, OH 43210 li.8935@osu.edu Neng Wang Columbia Business School 3022 Broadway, Uris Hall 812 New York, NY 10027 and NBER nw2128@columbia.edu Jinqiang Yang Shanghai University of Finance and Economics Guoding Rd. 777 Shanghai, 200433 China yang.jinqiang@mail.sufe. edu.cn
Constraining Clouds and Convective Parameterizations in a Climate Model Using Paleoclimate Data

Cloud and convective parameterizations strongly influence uncertainties in equilibrium climate sensitivity. We provide a proof‐of‐concept study to constrain these parameterizations in a perturbed parameter ensemble of the atmosphere‐only version of the Goddard Institute for Space Studies Model E2.1 simulations by evaluating model biases in the present‐day runs using multiple satellite climatologies and by comparing simulated δ18O of precipitation (δ18Op), known to be sensitive to parameterization schemes, with a global database of speleothem δ18O records covering the Last Glacial Maximum (LGM), mid‐Holocene (MH) and pre‐industrial (PI) periods. Relative to modern interannual variability, paleoclimate simulations show greater sensitivity to parameter changes, allowing for an evaluation of model uncertainties over a broader range of climate forcing and the identification of parts of the world that are parameter sensitive. Certain simulations reproduced absolute δ18Op values across all time periods, along with LGM and MH δ18Op anomalies relative to the PI, better than the default parameterization. No single set of parameterizations worked well in all climate states, likely due to the non‐stationarity of cloud feedbacks under varying boundary conditions. Future work that involves varying multiple parameter sets simultaneously with coupled ocean feedbacks will likely provide improved constraints on cloud and convective parameterizations.
THE FUTURE OF PUBLIC TRANSPORT: THE DANGERS OF VIEWING POLICY THROUGH ROSE-TINTED SPECTACLES

Improved public transport services are generally viewed as the most effective means of encouraging transfer from the car, especially on urban journeys. Accordingly, substantial public funds are being invested to this end. In this paper the author demonstrates that such an approach achieves little of this transfer. By comparing patterns of travel in Britain and The Netherlands, he shows that the prioritizing of walking and cycling is not only far more effective and cost-effective in achieving the transfer, but also is likely to deliver a wide range of social, health and environmental objectives of public policy additional to those related to transport. There must therefore be a presumption in favour of investment in networks for walking and cycling and in other measures enabling journeys to be made by these non-motorized modes well in advance of investment in public transport. This is an abridged version of the author's paper "Curbing car use: the dangers of exaggerating the future role of public transport", Transportation Planning Systems (a Landor Publication), Vol 2 No. 4, October-December 1994.
Smart production scheduling with time-dependent and machine-dependent electricity cost by considering distributed energy resources and energy storage

Many countries are actively trying to cope with recent effects of climate change and the energy crisis. At the same time, efficient energy use and the reduction of greenhouse gas emissions are very important, not only to reduce energy costs but also to contribute to an environment-friendly, sustainable lifestyle. Currently, manufacturing industries in some countries pay stratified electricity rates that depend on the time of the day (i.e. peak load, mid-load and off-peak load). Hence, the production scheduling process, which considers time-dependent and machine-dependent electricity costs, enables these industries to minimise energy expenses. Additionally, the emerging Smart Grid is supposed to require industries to pay real-time hourly electricity costs. More energy-efficient, intelligent production scheduling is thus a major goal. This paper deals with minimising the total production cost of the flexible job-shop scheduling problem. Our method allows each decision-maker in the manufacturing industry to seek a compromise solution for total production costs, by considering electricity costs with distributed energy resources and energy storage. We use constraint programming and mixed-integer programming approaches to solve this problem, and compare our proposed models with the classical computational method.
A Robust Method for Estimating Soil Properties in Unsampled Cells

For site-specific crop management (SSCM), fields are viewed as collections of small regions (cells) in which soil properties are nearly uniform. A field information system (FIS) can be used to store soil fertility data and to create application rate maps on a cell-by-cell basis. A data blocking procedure was developed to convert soil sample data into a new data set in which one value represents the soil property in each cell. A nonparametric distance-weighting algorithm was developed which produced about the same estimation errors as a kriging method, but was much faster. Example applications of the data blocking procedure to KC1 extractable nitrate and soil organic matter data are included.
Measuring knowledge retention: a case study of a construction consultancy in the UAE

Purpose – The purpose of this paper is to develop a model that can be used to assess the knowledge retention capabilities of an organisation, and suggest opportunities for improvement. A model to fulfil this aim is developed and validated on a construction engineering consultancy.Design/methodology/approach – A knowledge retention model was developed drawing on a thorough review of the literature. The developed retention model was validated through a case of a construction engineering consultancy. Semi‐structured interviews were used to elicit relevant information during the case study.Findings – A four‐stage knowledge retention process has been presented. These four steps are socialisation, codification, knowledge construction, and knowledge retrieval. The paper also describes four levels of maturity for the knowledge retention model. The first level demonstrated the extent of knowledge sharing in the organisation, the second level measured the extent of knowledge shared being documented, the third level.
Study of Finishing of Wafers by Magnetic Field-Assisted Finishing

The aims of this paper are to propose a new finishing process and show the feasibility of ultra-precision finishing of thin quartz wafers used for high-frequency devices. This particular application requires simultaneous improvement of surface roughness and thickness variation with minimal material removal. Consequently, the process must allow for the control of both super-fine finishing and localized material removal. This paper proposes a method using magnetic field-assisted finishing for the finishing of thin quartz wafers. The magnetic field-assisted finishing process enables localized material removal through control of the magnetic field distribution at the finishing area; and mirror finishing is achieved using magneto-rheological fluid-based slurry. This paper describes the processing principle, the development of the finishing equipment, and the required conditions to realize the principle. The finishing experiments demonstrate the feasibility of the proposed method to perform super-fine finishing of 60 μm thick quartz wafers, in which the control of the magnetic field allows for localization of the material removal to improve or maintain the thickness variation, as desired.
An approach to developing independent learning and non-technical skills amongst final year mining engineering students

There is mounting evidence to show that engineers need more than technical skills to succeed in industry. This paper describes a curriculum innovation in which so-called ‘soft’ skills, specifically inter-personal and intra-personal skills, were integrated into a final year mining engineering course. The instructional approach was designed to promote independent learning and to develop non-technical skills, essential for students on the threshold of becoming practising engineers. Three psychometric tests were administered at the beginning of the course to make students aware of their own and their classmates’ characteristics. Substantial prescribed reading assignments preceded weekly group discussions. Several projects during the course required team work skills and application of content knowledge to real-world contexts. Results obtained from students’ reflection papers, assignments related to ‘soft’ skills and end of course evaluations suggest that students’ appreciation of the need for these skills, as well as their own perceived competence, increased during the course. Their ability to function as independent learners also increased.
Occupational workload of Indian agricultural workers.

The occupational workload of 13 agricultural workers was determined during a summer season, on the basis of cardio respiratory responses and individual capacity to perform work. Thirty different agricultural operations were observed during the actual working season. V02maxof the workers was 34 8cm3min-1 kg-1, ranging from 28.6 to 41.5cm3 min-1 kg-1. Pulmonary ventilation during the operations varied from 14 to 411 min-1; only water lifting, bund trimming in dry-land and pedal threshing operations demanded more than 301 min-1, and these were found to be the heaviest jobs in agricultural work. About 29% of total man-hours are involved in light work, 64% in moderate work and only 6% in heavy work. Daily energy expenditure of the workers varied from 10.3 to 1l.7MJ,ofwhich 53% to 56% energy was expended during the working day (i.e. the time-weighted work demand was about 30 to 40% of [Vdot]O2 max) and about one-fifth of total heat production of the body was external thermal load.
Groundwater Recharge Assessment in the Chateauguay River Watershed

The objective of this study was to evaluate groundwater recharge in the Chateauguay River watershed. The Hydrologic Evaluation of Landfill Performance (HELP) model was used to assess daily values of recharge, evapotranspiration and runoff. The study area was divided into a regular grid, 250 m × 250 m, for a total of 47,616 grid elements. The input parameters included soil physical properties, land use, vegetation and climate data. Calibration of HELP was carried out against runoff and baseflow estimates obtained from separation of five river hydrographs. Over a 39 year period, the mean annual recharge rate was estimated at 86 mm, or 9% of the total precipitation. Areas characterized by high water level elevations and unconfined flow conditions were identified as the main recharge areas. Daily estimates show that recharge takes place mainly in spring and fall. Over the observed period, the annual variations of evapotranspiration and runoff were directly related to changes in precipitation, whereas the annual recharge response was subdued, with much lower variations. HELP was also used to assess potential climate change scenarios using data for the driest and most humid years. The mean annual recharge was 51 mm for the driest year and 99 mm for the most humid year. Differences in the spatial distribution of recharge for the predictive scenarios indicate that the areas most sensitive to climate change correspond to the preferential recharge areas.
Numerical analysis of two and three dimensional buoyancy driven water-exit of a circular cylinder

ABSTRACT With the development of the technology of underwater moving bodies, the need for developing the knowledge of surface effect interaction of free surface and underwater moving bodies is increased. Hence, the two-phase flow is a subject which is interesting for many researchers all around the world. In this paper, the non-linear free surface deformations which occur during the water-exit of a circular cylinder due to its buoyancy are solved using finite volume discretization based code, and using Volume of Fluid (VOF) scheme for solving two phase flow. Dynamic mesh model is used to simulate dynamic motion of the cylinder. In addition, the effect of cylinder mass in presence of an external force is studied. Moreover, the oblique exit and entry of a circular cylinder with two exit angles is simulated. At last, water-exit of a circular cylinder in six degrees of freedom is simulated in 3D using parallel processing. The simulation errors of present work (using VOF method) for maximum velocity and height of a circular cylinder are less than the corresponding errors of level set method reported by previous researchers. Oblique exit shows interesting results; formation of waves caused by exit of the cylinder, wave motion in horizontal direction and the air trapped between the waves are observable. In 3D simulation the visualization of water motion on the top surface of the cylinder and the free surface breaking on the front and back faces of the 3D cylinder at the exit phase are observed which cannot be seen in 2D simulation. Comparing the results, 3D simulation shows better agreement with experimental data, specially in the maximum height position of the cylinder.