scholarly journals A Framework for Property Developers to Survive in a Recession

10.29007/cfr2 ◽  
2018 ◽  
Author(s):  
Zunoon Parambath ◽  
Nilupa Udawatta
Keyword(s):  
Survival Strategies ◽  
Economic Activities ◽  
Short Term ◽  
Property Development ◽  
Market Shares ◽  
Negative Impacts ◽  
Set Up ◽  
High Level ◽  
Property Developers

Recession is considered as a major threat to the economy as it slows down economic activities. The property development sector is extremely responsive to these economic conditions. Thus, it is crucial to understand causes, effects and strategies for property developers to survive in a recession without any ill effects. Thus, this research aimed to develop a framework for property developers to identify appropriate survival strategies in recession. A comprehensive literature review was conducted in this research to achieve the above mentioned aim. The results of this study indicated that recession prompts negative impacts on property development sector resulting in unemployment, lower demand, production and revenue, decline in resources and high level of competition. According to the results, the survival strategies were classified into short-term and long-term strategies. The short term strategies include: implementing management tactics, cut down of operating costs, keeping financing lines set up, timely repayment of debts, setting vital new objectives for the future, undertaking shorter time span developments, specialisation in favoured market, renegotiating deals and contracts. The long-term strategies include retrenchment, restructuring, investment and ambidextrous strategies. Similarly, attention should be paid to predict any changes in the economic environment that can influence property development activities and it is necessary to carefully evaluate investment activities to increase sales, profits and market shares of property developers. Preparing for a crisis is doubtlessly the ideal approach as it can facilitate both survival and growth. Thus, the property developers can implement these suggested strategies in their businesses to enhance their practices.

scholarly journals COVID-19 and Its Impact on the Indian Economy

2021 ◽  
pp. 097226292198912
Author(s):  
Vikas Barbate ◽  
Rajesh N. Gade ◽  
Shirish S. Raibagkar
Keyword(s):  
Oil Prices ◽  
Economic Activities ◽  
Short Term ◽  
Indian Economy ◽  
The Great Depression ◽  
Windfall Gain ◽  
Crude Oil Prices ◽  
Tree Approach ◽  
Silver Lining

Pessimism looms large all over. COVID-19 has been projected as worse than the Great Depression of 1930. Everyday analyst and agency reports are diving into new bottoms of a fall-down in economic activities. Indian economy, however, has a slightly different story to tell at this hour of crisis. The silver lining for the Indian economy comes from a steep fall in the crude oil prices from around $70 per barrel to a record 18 years low of $22 per barrel. This windfall gain can, to some extent, offset the direct losses due to COVID-19. At the same time, dreams like a $5 trillion economy no longer look even a remote possibility. This article takes stock of the likely impact of COVID-19 on the Indian economy in the short term and the long term. A decision-tree approach has been adopted for doing the projections.

From Users’ Intentions to IF-THEN Rules in the Internet of Things

2021 ◽  
Vol 39 (4) ◽  
pp. 1-33
Author(s):  
Fulvio Corno ◽  
Luigi De Russis ◽  
Alberto Monge Roffarello
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
The Internet ◽  
Short Term ◽  
Real World Data ◽  
Original Intention ◽  
Recommendation Accuracy ◽  
High Level ◽  
The Internet Of Things

In the Internet of Things era, users are willing to personalize the joint behavior of their connected entities, i.e., smart devices and online service, by means of trigger-action rules such as “IF the entrance Nest security camera detects a movement, THEN blink the Philips Hue lamp in the kitchen.” Unfortunately, the spread of new supported technologies makes the number of possible combinations between triggers and actions continuously growing, thus motivating the need of assisting users in discovering new rules and functionality, e.g., through recommendation techniques. To this end, we present , a semantic Conversational Search and Recommendation (CSR) system able to suggest pertinent IF-THEN rules that can be easily deployed in different contexts starting from an abstract user’s need. By exploiting a conversational agent, the user can communicate her current personalization intention by specifying a set of functionality at a high level, e.g., to decrease the temperature of a room when she left it. Stemming from this input, implements a semantic recommendation process that takes into account ( a ) the current user’s intention , ( b ) the connected entities owned by the user, and ( c ) the user’s long-term preferences revealed by her profile. If not satisfied with the suggestions, then the user can converse with the system to provide further feedback, i.e., a short-term preference , thus allowing to provide refined recommendations that better align with the original intention. We evaluate by running different offline experiments with simulated users and real-world data. First, we test the recommendation process in different configurations, and we show that recommendation accuracy and similarity with target items increase as the interaction between the algorithm and the user proceeds. Then, we compare with other similar baseline recommender systems. Results are promising and demonstrate the effectiveness of in recommending IF-THEN rules that satisfy the current personalization intention of the user.

scholarly journals A survey of short-term and long-term stability of tube parameters in a mammography unit

2014 ◽  
Vol 29 (4) ◽  
pp. 321-325
Author(s):  
Jovica Praskalo ◽  
Jasna Davidovic ◽  
Biljana Kocic ◽  
Monika Zivkovic ◽  
Svetlana Pejovic
Keyword(s):  
Screening Program ◽  
Short Term ◽  
X Ray ◽  
Term Stability ◽  
Long Term Stability ◽  
Mammography Screening Program ◽  
The Republic ◽  
Set Up ◽  
The Given

In order to set up a successful mammography screening program in the Republic of Srpska, a Siemens Mammomat 1000 X-ray machine was selected for analysis as the said mammography system is widely used in clinical practice. The variations in tube parameters (specific air kerma, high-voltage accuracy and reproducibility, linearity between exposure and dose exposure time) were monitored over a five-year period, from 2008 to 2012. In addition, due to observed daily fluctuations for chosen parameters, a series of measurements were performed three times a day within a single-month period (mainly October 2012). The goal of such an experimental set up is to assess short-term and long-term stability of tube parameters in the given mammography unit and to make a comparison between them. The present paper shows how an early detection of significant parameter fluctuations can help eliminate irregularities and optimize the performance of mammography systems.

scholarly journals Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption

2020 ◽  
Vol 34 (05) ◽  
pp. 9571-9578 ◽  
Author(s):  
Wei Zhang ◽  
Yue Ying ◽  
Pan Lu ◽  
Hongyuan Zha
Keyword(s):  
State Of The Art ◽  
Natural Extension ◽  
Target Image ◽  
Short Term ◽  
Image Representations ◽  
High Level ◽  
Image Descriptions ◽  
Shed Light ◽  
Image Caption

Personalized image caption, a natural extension of the standard image caption task, requires to generate brief image descriptions tailored for users' writing style and traits, and is more practical to meet users' real demands. Only a few recent studies shed light on this crucial task and learn static user representations to capture their long-term literal-preference. However, it is insufficient to achieve satisfactory performance due to the intrinsic existence of not only long-term user literal-preference, but also short-term literal-preference which is associated with users' recent states. To bridge this gap, we develop a novel multimodal hierarchical transformer network (MHTN) for personalized image caption in this paper. It learns short-term user literal-preference based on users' recent captions through a short-term user encoder at the low level. And at the high level, the multimodal encoder integrates target image representations with short-term literal-preference, as well as long-term literal-preference learned from user IDs. These two encoders enjoy the advantages of the powerful transformer networks. Extensive experiments on two real datasets show the effectiveness of considering two types of user literal-preference simultaneously and better performance over the state-of-the-art models.

scholarly journals Evaluation of installation effects on set-up of field displacement piles in sand

2019 ◽  
Vol 56 (4) ◽  
pp. 461-472 ◽  
Author(s):  
Ivana Anusic ◽  
Barry M. Lehane ◽  
Gudmund R. Eiksund ◽  
Morten A. Liingaard
Keyword(s):  
Test Data ◽  
Impact Frequency ◽  
Short Term ◽  
Factors Affecting ◽  
Installation Effects ◽  
Field Displacement ◽  
Small Influence ◽  
Set Up ◽  
Shaft Friction

The paper presents results from a new series of tests on displacement piles in sand, involving different installation modes, and combines these with results from previous tests at the same site as well as with test data at two other well-investigated sand sites to provide fresh insights into factors affecting “short-term” capacity and set-up of shaft friction. It is shown that the shaft capacity measured shortly after installation reduces systematically with the logarithm of the number of impact blows or jacking increments per unit shaft area imparted during installation. However, the degree of set-up of shaft friction for piles increases with an increase in the number of blows, and piles installed using a large number of blows can attain highest “long-term” shaft capacities, despite having the lowest short-term capacity. The tests indicated that the driving impact frequency had a relatively small influence on shaft friction, while piles installed by vibration attain short-term capacities comparable to driven impact piles, but showed negative set-up.

Growing without Pains? Explaining Liberal Democrat MPs' Behaviour

2009 ◽  
Vol 11 (2) ◽  
pp. 259-279 ◽  
Author(s):  
Matt Cole
Keyword(s):  
Group Composition ◽  
National Party ◽  
Short Term ◽  
Contextual Data ◽  
Liberal Democrats ◽  
Composition Structure ◽  
High Level ◽  
Over Time

Recent academic studies and wider commentary on the behaviour of Liberal Democrat MPs have recognised their relatively high level of cohesiveness on whipped votes when compared to that of Labour and the Conservatives, and to the Liberal Democrats' own reputation; but while this trend continues, few studies have focused upon its causes. This article uses the MPs' voting records, personal papers, interviews and wider contextual data to chart the extent of that unity over time, and to explore its origins, including group composition, structure, patronage, relations with the extra-parliamentary party and other parties as well as national party image. It finds the key to this unity in a combination of medium and long-term features of the Liberal and Liberal Democrat group of MPs, rather than a short-term singular determinant.

scholarly journals Impact of Biochar on Earthworm Populations: A Review

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Sharon L. Weyers ◽  
Kurt A. Spokas
Keyword(s):  
Black Carbon ◽  
Total Biomass ◽  
Short Term ◽  
Feeding Behaviors ◽  
Soil System ◽  
Earthworm Population ◽  
Negative Impacts ◽  
The Impact ◽  
Earthworm Populations

Despite the overwhelming importance of earthworm activity in the soil system, there are a limited number of studies that have examined the impact resulting from biochar addition to soil. Biochar is part of the black carbon continuum of chemo-thermal converted biomass. This review summarizes existing data pertaining to earthworms where biochar and other black carbon substances, including slash-and-burn charcoals and wood ash, have been applied. After analyzing existing studies on black carbon, we identified that these additions have a range from short-term negative impacts to long-term null effects on earthworm population density and total biomass. Documented cases of mortality were found with certain biochar-soil combinations; the cause is not fully understood, but hypothesized to be related to pH, whether the black carbon is premoistened, affects feeding behaviors, or other unknown factors. With wood ashes, negative impacts were overcome with addition of other carbon substrates. Given that field data is limited, soils amended with biochar did not appear to cause significant long-term impacts. However, this may indicate that the magnitude of short-term negative impacts on earthworm populations can be reduced with time.

scholarly journals Methodology of making organizational and technological decisions at the stage of operational management of construction operations based on the forecasting system

2021 ◽  
Vol 2131 (2) ◽  
pp. 022114
Author(s):  
L Zelentsov ◽  
L Mailyan ◽  
D Pirko
Keyword(s):  
Software Package ◽  
Complex Dynamic ◽  
Short Term ◽  
Current Management ◽  
Construction Operations ◽  
Construction Products ◽  
Forecasting System ◽  
High Level ◽  
Cost Parameters

Abstract The article discusses the issues of forecasting two key parameters of an investment and construction project: time and cost, while the building company is considered as a complex dynamic system. Taking into account the long-term nature of the creation of construction products and, as a consequence, the high level of work in progress, the need to use forecasting models is justified, both at short-term planning intervals (week, month) and at longer intervals (quarter, year). The article examines the formalized forecasting methods, gives a characteristic of the methods most widely used in practice. These methods include forecasting based on ARIMA models. DSTU has developed a pilot software package for an intelligent construction management system, which includes a software package for forecasting the time and cost parameters of a construction object at the stages of operational and current management.

scholarly journals Is There an Alternative to the Fiscal Compact for Conducting Fiscal Policy in the Euro Area?

Politik ◽  
2013 ◽  
Vol 16 (1) ◽  
Author(s):  
Andrew Hughes Hallet ◽  
Svend E. Hougaard Jensen
Keyword(s):  
Euro Area ◽  
Practical Implementation ◽  
Short Term ◽  
Budgetary Impact ◽  
The Public ◽  
Fiscal Compact ◽  
Set Up ◽  
Changing Demographics ◽  
New Framework

This paper o ers a critical assessment of the scal set-up in the Euro Area and considers a new framework for achieving scal discipline. e key idea is an inter-temporal assignment where national scal policies focus on long-term objectives and a common monetary policy on short-term objectives. e result is a self-stabilising set-up where the enforcement problem has largely been resolved. For practical implementation purposes, scal policy is stated in terms of a target for the public debt-to-GDP ratio. We argue that the debt target should be set in a forward-looking fashion to account for implicit liabilities, such as the discounted budgetary impact of changing demographics in addition to conventional debt measures. 

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