Fajrin said 'unsubsidised' transactions for Bukalapak account for over half of its total sales.

The post Industry needs more than vanity metrics, says Bukalapak’s Fajrin appeared first on DealStreetAsia.

The Covid-19 pandemic is expected to exert downward pressure on the credit quality of sugar mills by eroding operating profitability and shoring up debt in fiscal 2021.

The supercritical water oxidation (SCWO) system is a secondary waste processing reactor of the Blue Grass Chemical Agent Destruction Pilot Plant (BGCAPP). It is perhaps second in importance behind the agent neutralization reactors, which perform base hydrolysis of chemical warfare agents stored at the Blue Grass Army Depot.

The National Academies today released Criteria for Selecting the Leading Health Indicators for Healthy People 2030, the first of two reports that will help inform the development of Healthy People 2030 (HP2030).

Health impact assessments (HIAs) provide information on the potential health impacts of policies, and are important for developing regulation on air pollution. In this study, researchers evaluated the metrics currently used in air quality HIAs to provide recommendations for their use in policy.

Many times, you will see triple net leases, and occasionally double net leases where the tenant is responsible for all the maintenance, tax costs, insurance and utilities. The landlord may have some remaining responsibilities – say the roof and structure, but by and large, the landlord can focus on being a financial owner rather than […]

The post Common Metrics for Valuing Real Estate appeared first on RSS News Feed.

Unique Functionality Will Help Sell Mobile Ad Campaigns, Drive Listener Engagement

Faster authentication can reduce contact center costs, help eliminate the need for security questions, and contribute to an enhanced customer experience

Margaret Parker, MD, MCCM, speaks with Dana E. Niles, MS, about the article Characterization of Pediatric In-Hospital Cardiopulmonary Resuscitation Quality Metrics Across an International Resuscitation Collaborative, published in the May 2018 issue of Pediatric Critical Care Medicine.

We use Ricci flow to obtain a local bi-Holder correspondence between Ricci limit spaces in three dimensions and smooth manifolds. This is more than a complete resolution of the three-dimensional case of the conjecture of Anderson-Cheeger-Colding-Tian, describing how Ricci limit spaces in three dimensions must be homeomorphic to manifolds, and we obtain this in the most general, locally non-collapsed case. The proofs build on results and ideas from recent papers of Hochard and the current authors.

We show that any toric K"ahler cone with smooth compact cross-section admits a family of Calabi-Yau cone metrics with conical singularities along its toric divisors. The family is parametrized by the Reeb cone and the angles are given explicitly in terms of the Reeb vector field. The result is optimal, in the sense that any toric Calabi-Yau cone metric with conical singularities along the toric divisor (and smooth elsewhere) belongs to this family. We also provide examples and interpret our results in terms of Sasaki-Einstein metrics.

In this paper we study manifolds $M_{Sigma}$ with fibered singularities, more specifically, a relevant space $Riem^{psc}(X_{Sigma})$ of Riemannian metrics with positive scalar curvature. Our main goal is to prove that the space $Riem^{psc}(X_{Sigma})$ is homotopy invariant under certain surgeries on $M_{Sigma}$.

In one embodiment, a processor includes at least one functional block and banking logic. The banking logic may be to determine an average reliability metric associated with the at least one functional block. The banking logic may also be to, if the average reliability metric exceeds a required level, implement a reduced reliability mode in the at least one functional block, where the reduced reliability mode is associated with a reduction in the average reliability metric. Other embodiments are described and claimed.

Researchers have uncovered a potential means to profile and track online users using a novel approach that combines device identifiers with their biometric information. The details come from a newly published research titled "Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices" by a group of academics from the University of Liverpool, New York University, The Chinese

An extended run through the Pac-12 tournament would certainly help ease the tension for both USC and UCLA. But a loss Thursday could put their fate in the hands of the numbers.

Albert Chau and Man-Chun Lee
Trans. Amer. Math. Soc. 373 (2020), 3627-3647.
Abstract, references and article information

Organizational effectiveness -- Measurement.

The Neyman-Pearson (NP) paradigm in binary classification seeks classifiers that achieve a minimal type II error while enforcing the prioritized type I error controlled under some user-specified level $alpha$. This paradigm serves naturally in applications such as severe disease diagnosis and spam detection, where people have clear priorities among the two error types. Recently, Tong, Feng, and Li (2018) proposed a nonparametric umbrella algorithm that adapts all scoring-type classification methods (e.g., logistic regression, support vector machines, random forest) to respect the given type I error (i.e., conditional probability of classifying a class $0$ observation as class $1$ under the 0-1 coding) upper bound $alpha$ with high probability, without specific distributional assumptions on the features and the responses. Universal the umbrella algorithm is, it demands an explicit minimum sample size requirement on class $0$, which is often the more scarce class, such as in rare disease diagnosis applications. In this work, we employ the parametric linear discriminant analysis (LDA) model and propose a new parametric thresholding algorithm, which does not need the minimum sample size requirements on class $0$ observations and thus is suitable for small sample applications such as rare disease diagnosis. Leveraging both the existing nonparametric and the newly proposed parametric thresholding rules, we propose four LDA-based NP classifiers, for both low- and high-dimensional settings. On the theoretical front, we prove NP oracle inequalities for one proposed classifier, where the rate for excess type II error benefits from the explicit parametric model assumption. Furthermore, as NP classifiers involve a sample splitting step of class $0$ observations, we construct a new adaptive sample splitting scheme that can be applied universally to NP classifiers, and this adaptive strategy reduces the type II error of these classifiers. The proposed NP classifiers are implemented in the R package nproc.

Norbert Hirschauer, Sven Grüner, Oliver Mußhoff, Claudia Becker.

Source: Statistics Surveys, Volume 12, 136--172.

Abstract:
Data on how many scientific findings are reproducible are generally bleak and a wealth of papers have warned against misuses of the $p$-value and resulting false findings in recent years. This paper discusses the question of what we can(not) learn from the $p$-value, which is still widely considered as the gold standard of statistical validity. We aim to provide a non-technical and easily accessible resource for statistical practitioners who wish to spot and avoid misinterpretations and misuses of statistical significance tests. For this purpose, we first classify and describe the most widely discussed (“classical”) pitfalls of significance testing, and review published work on these misuses with a focus on regression-based “confirmatory” study. This includes a description of the single-study bias and a simulation-based illustration of how proper meta-analysis compares to misleading significance counts (“vote counting”). Going beyond the classical pitfalls, we also use simulation to provide intuition that relying on the statistical estimate “$p$-value” as a measure of evidence without considering its sample-to-sample variability falls short of the mark even within an otherwise appropriate interpretation. We conclude with a discussion of the exigencies of informed approaches to statistical inference and corresponding institutional reforms.

Significant variation in congenital hypothyroidism screening operations/performance has been observed in the United States. The origin of this variation remains unknown, in part because of a lack of evaluation. Accordingly, debates persist about optimal screening operations including laboratory testing methods.

Four distinct screening protocols applied to Michigan resident infants are compared in detecting congenital hypothyroidism overall and specific to cases characterized by high initial thyrotropin concentrations thought to have a more severe form of the disease. (Read the full article)

The false-positive rate of newborn screening for classic congenital adrenal hyperplasia (CAH) remains high and has not been significantly improved by adjusting 17α-hydroxyprogesterone cutoff values for birth weight and/or gestational age. In response, 4 states have initiated second-tier steroid profile screening.

Under second-tier screening, the false-positive rate remains high, and classic CAH cases missed by screening (false-negatives) occur more frequently than reported. Physicians are cautioned that a negative screen does not necessarily rule out CAH. (Read the full article)

Oil prices in the international markets last month slumped to a two-decade low of USD 18 per barrel before rebounding by some measure.

The details may be technical, but the concepts are clear when it comes to analyzing seasonal retail data

Canada has opened Service centers across the country for taking biometrics related to foreign nationals who apply to stay in it.A New Approach for EfficiencyBefore December 3rd, such immigration candidates, who were applying away from Canada, needed…

Hi Team,

I would like to download "Incisive Metrics Center User Guide", I could not find in the cadence/support/manuals. Can you please provide me the link or path to download the same ? I am doing functional coverage with IMC. 

Thank You,

Mahesh

As noted in white papers, posts on the Team Specman Blog, and the Specman documentation, IntelliGen is a totally new stimulus generator than the original "Pgen" and, as a result, there is some amount of effort needed to migrate an existing verification environment to fully leverage the power of IntelliGen.  One of the main steps in migrating code is running the linters on your code and adressing the issues highlighted. 

Included below is a simple utility you can include in your environment that allows you to collect some valuable statistics about your code base to allow you to better gauge the amount of work that might be required to migrate from Pgen to IntelliGen.  The ICFS statistics reported are of particular benefit as the utility not only identifies the approximate number of ICFSs in the environment, it also breaks the total number down according to generation contexts (structs/units and gen-on-the-fly statements) allowing you to better focus your migration efforts. 

IMPORTANT: Sometimes a given environment can trigger a large number of IntelliGen linting messages right off the bat.  Don't let this freak you out!  This does not mean that migration will be a long effort as quite often some slight changes to an environment remove a large number of identified issues.  I recently encountered a situation where a simple change to three locations in the environment, removed 500+ ICFSs!

The methods included in the utility can be used to report information on the following:
- Number of e modules
- Number of lines in the environment (including blanks and comments)
- Number and type of IntelliGen Guidelines linting messages
- Number of Inconsistently Connected Field Sets (ICFSs)
- Number of ICFS contexts and how many ICFSs per context
- Number of soft..select overlays found in the envioronment
- Number of Laces identified in the environment

To use the code below, simply load it before/after loading e-code and then
you can execute any of the following methods:

- sys.print_file_stats()             : prints # of lines and files
- sys.print_constraint_stats()   : prints # of constraints in the environment
- sys.print_guideline_stats()    : prints # of each type of linting message
- sys.print_icfs_stats()            : prints # of ICFSs, contexts and #ICFS/context
- sys.print_soft_select_stats() : prints # of soft select overlay issues
- sys.print_lace_stats()           : *Only works for SPMNv6.2s4 and later* prints # of laces identified in the environment

Each of the above calls to methods produces it's own log files (stored in the current working directory) containing relevant information for more detailed analysis.
- file_stats_log.elog : Output of "show modules" command
- constraint_log.elog : Output of the "show constraint" command
- guidelines_log.elog : Output of "gen lint -g" (with notification set to MAX_INT in order to get all warnings)
- icfs_log.elog       : Output of "gen lint -i" command
- soft_select_log.elog: Output of the "gen lint -s" command
- lace_log.elog       : Output of the "show lace" command

Happy generating!

Corey Goss

An information disclosure vulnerability exists when Centaur and TitanSMA fail to properly protect critical system logs such as 'syslog'. Additionally, the implemented Jetty version (9.4.z-SNAPSHOT) suffers from a memory leak of shared buffers that was (supposedly) patched in Jetty version 9.2.9.v20150224.

Nanometrics Centaur version 4.3.23 suffers from an unauthenticated remote memory leak vulnerability.

The biological carbon pump (BCP) comprises wide-ranging processes that set carbon supply, consumption, and storage in the oceans’ interior. It is becoming increasingly evident that small changes in the efficiency of the BCP can significantly alter ocean carbon sequestration and, thus, atmospheric CO2 and climate, as well as the functioning...

BACKGROUND

Continuous glucose monitoring (CGM) provides important information to aid in achieving glycemic targets in people with diabetes.

BACKGROUND AND PURPOSE:

Diffuse intrinsic pontine glioma is a lethal childhood brain cancer with dismal prognosis and MR imaging is the primary methodology used for diagnosis and monitoring. Our aim was to determine whether advanced diffusion, perfusion, and permeability MR imaging metrics predict survival and pseudoprogression in children with newly diagnosed diffuse intrinsic pontine glioma.

Facebook has acquired emotion detection start-up FacioMetrics to push its artificial intelligence (AI) research into building facial gesture controls.

The smart-card driven CORE-PDS system demonstrates the feasibility of introducing portability in social security systems without the use of biometrics. A student team from IIT Delhi surveys Fair Price Shops in Raipur district following the new system to assess how it has been faring.

Cham, Switzerland : Springer, [2019]

Online Resource

Sterne, Jim, 1955-

Are you looking for ways to measure the success of your social media marketing efforts? Want to know if your social media campaigns are worth your time and effort?

The team from Social Success Marketing share the metrics you can, and should, track in this infographic.

complete article