bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting the momentum using customised loss function for financial series
Authors: Prabakaran N. , Palaniappan Rajasekaran , Kannadasan R. , Dudi Satya Vinay , Sasidhar V. 
Published: August 2021

PurposeWe propose a Machine Learning (ML) approach that will be trained from the available financial data and is able to gain the trends over the data and then uses the acquired knowledge for a more accurate forecasting of financial series. This work will provide a more precise results when weighed up to aged financial series forecasting algorithms. The LSTM Classic will be used to forecast the momentum of the Financial Series Index and also applied to its commodities. The network will be trained and evaluated for accuracy with various sizes of data sets, i.e. weekly historical data of MCX, GOLD, COPPER and the results will be calculated.Design/methodology/approachDesirable LSTM model for script price forecasting from the perspective of minimizing MSE. The approach which we have followed is shown below. (1) Acquire the Dataset. (2) Define your training and testing columns in the dataset. (3) Transform the input value using scalar. (4) Define the custom loss function. (5) Build and Compile the model. (6) Visualise the improvements in results.FindingsFinancial series is one of the very aged techniques where a commerce person would commerce financial scripts, make business and earn some wealth from these companies that vend a part of their business on trading manifesto. Forecasting financial script prices is complex tasks that consider extensive human–computer interaction. Due to the correlated nature of financial series prices, conventional batch processing methods like an artificial neural network, convolutional neural network, cannot be utilised efficiently for financial market analysis. We propose an online learning algorithm that utilises an upgraded of recurrent neural networks called long short-term memory Classic (LSTM). The LSTM Classic is quite different from normal LSTM as it has customised loss function in it. This LSTM Classic avoids long-term dependence on its metrics issues because of its unique internal storage unit structure, and it helps forecast financial time series. Financial Series Index is the combination of various commodities (time series). This makes Financial Index more reliable than the financial time series as it does not show a drastic change in its value even some of its commodities are affected. This work will provide a more precise results when weighed up to aged financial series forecasting algorithms.Originality/valueWe had built the customised loss function model by using LSTM scheme and have experimented on MCX index and as well as on its commodities and improvements in results are calculated for every epoch that we run for the whole rows present in the dataset. For every epoch we can visualise the improvements in loss. One more improvement that can be done to our model that the relationship between price difference and directional loss is specific to other financial scripts. Deep evaluations can be done to identify the best combination of these for a particular stock to obtain better results.
High throughput SRAM design for improved computing in autonomous systems
Authors: Neeraj Kumar , Das Jitendra Kumar 
Published: August 2021

PurposeHigh throughput and power efficient computing devices are highly essential in many autonomous system-based applications. Since the computational power keeps on increasing in recent years, it is necessary to develop energy efficient static RAM (SRAM) memories with high speed. Nowadays, Static Random-Access Memory cells are predominantly liable to soft errors due to the serious charge which is crucial to trouble a cell because of fewer noise margins, short supply voltages and lesser node capacitances.Design/methodology/approachPower efficient SRAM design is a major task for improving computing abilities of autonomous systems. In this research, instability is considered as a major issue present in the design of SRAM. Therefore, to eliminate soft errors and balance leakage instability problems, a signal noise margin (SNM) through the level shifter circuit is proposed.FindingsBias Temperature Instabilities (BTI) are considered as the primary technology for recently combined devices to reduce degradation. The proposed level shifter-based 6T SRAM achieves better results in terms of delay, power and SNM when compared with existing 6T devices and this 6T SRAM-BTI with 7 nm technology is also applicable for low power portable healthcare applications. In biomedical applications, Body Area Networks (BANs) require the power-efficient SRAM design to extend the battery life of BAN sensor nodes.Originality/valueThe proposed method focuses on high speed and power efficient SRAM design for smart ubiquitous sensors. The effect of BTI is almost eliminated in the proposed design.
Co-creation of services: an online network perspective
Authors: Bidar Reihaneh , Barros Alistair , Watson Jason 
Published: August 2021

PurposeIn the co-creation process from a network perspective, service is produced, designed, and evaluated entirely by the actors with dynamic roles and with less participation by the firm's employees in the service process. The purpose of this paper is to develop a theoretical model that represents environmental stimuli and value perceptions that contribute to service co-creation behaviour in an online network.Design/methodology/approachA total of 36 semi-structured interviews were conducted with members of two online programming communities – GitHub and Stack Overflow co-creators, with the data analysed using thematic analysis. The stimulus-organism-response model guided the development of the final model.FindingsSocial influence and trust are influential in actor value perceptions, including primary and network value, the interplay of which leads actors to co-production, supportive, and administrative behaviour. Environmental factors do not directly drive actors; rather it is the value that initiates and drives actors, which, by extension, initiates and drives the co-creation of services.Research limitations/implicationsThe service co-creation behaviour model provides a basis for future research in the co-creation and co-destruction context to model behaviours within the online network organisation setting and thereby enable improvement of such systems. This model can be operationalised in a network environment through design features.Originality/valueThis paper provides a rich understanding of environmental stimuli and value perception factors that contribute to the co-creation of services, and identifies different types of behaviours in dynamic online networks. This paper presents a new model of different types of behaviours emerging from actor participation in the co-creation process.
Corporate governance and remuneration: a bibliometric analysis
Authors: Mumu Jinnatul Raihan , Saona Paolo , Russell Hasibul Islam , Azad Md. Abul Kalam 
Published: August 2021

PurposeThis study aims to pinpoint gaps in the literature on corporate governance and remuneration by producing a comprehensive bibliometric review for the period 1990–2020.Design/methodology/approachBibliometric analysis is the quantitative study of the bibliographic material in a specific research field. It allows an analyst to classify that material by paper, journal, author, indexation, institution or country, among other possibilities. This study reviews a total of 298 Web of Science–indexed journal articles on corporate governance and top-management remuneration schemes.FindingsThe authors find five distinct research strands: (1) firm performance and remuneration of top management, (2) the remuneration and independence of boards of directors and the efficiency of boards of directors as a governance system, (3) outside-director remuneration and the efficiency of outside directors as a monitoring system, (4) director remuneration and the corporate governance of companies and (5) the role of ownership structure and top managers' compensation schemes as corporate-governance tools. The authors identify gaps in the literature and avenues for future research for each of these strands.Practical implicationsThe authors’ findings have implications for board diversity (e.g. gender diversity), remuneration policy for top-level managers and governance issues (independent directors, separation of ownership with control). This study is the only one to summarize the key topics on which top research has been focused and can be broadly used for corporate governance management perspective.Originality/valueThis paper provides an overview of how the literature on corporate governance and remuneration has developed and a synopsis of the most influential and most productive authors, countries and journal sources. It creates an opportunity for other researchers to focus on this area. This study will also serve as a foundation for future meta-analyses.
Accounting controls at the Society of Jesus – 1646 to 2005
Authors: Quinn Martin , Oliveira João , Santidrián Alicia 
Published: August 2021

Purpose
This paper aims to detail the evolution of accounting controls conveyed as written rules at the Society of Jesus from the middle of the 17th century to the present day.

Design/methodology/approach
An analytically structured history approach is adopted. Four “Instructions” are analysed in detail and institutional theory is used as a lens to examine influences on accounting control rules over time.

Findings
The analysis reveals that accounting control rules maintained a core stability over time but were adapted and extended according to internal and external factors. Changes to the rules were thus mostly evolutionary. Influenced by mainly external factors, over the years the rules have become more detailed and accompanied by more practical guidance.

Originality/value
This study provides an analysis of the evolution of accounting control rules at the Society of Jesus, which thus far has not been presented. It provides insights on how the rules introduced more clarity and highlights the increasing recognition of secular management control and development within the Jesuit rules.
Visualizing the hierarchical sustainable human resource management under qualitative information and complex interrelationships
Authors: Parng Yuh-Jiuan , Kurrahman Taufik , Chen Chih-Cheng , Tseng Ming Lang , Minh Hà Hiền , Lin Chun-Wei 
Published: August 2021

PurposeThis study aims to construct a valid hierarchical sustainable human resource management (SHRM) model with interrelationships among its attributes in terms of qualitative information.Design/methodology/approachThis study applies the fuzzy Delphi method to validate SHRM attributes and visualize the causal interrelationships among these attributes using a fuzzy decision-making trial and evaluation laboratory method.FindingsThis study finds that green performance management and compensation lead to human resource benefits and economic sustainability in the HRM model.Practical implicationsOpen environmental communication, green human resource planning, green training and development, employee eco-friendly behavior and organizational culture are the top five criteria supporting practical improvement in the healthcare industry.Originality/valueThe emergence of new, unprepared, and inexperienced health care entities with inadequate human resource management (HRM) potentially causing social problems within the industry, SHRM is necessary to balance the social, environment, and economic performance and must be studied by both academicians and practitioners. However, the HRM application field is still in its infancy, which limits the understanding of its potential.
Association between iron supplementation and anaemia in pregnant women in Ghana
Authors: Owusu Lydia Boampong , Apprey Charles , Diji Abigail Kusi-Amponsah , Adebanji Atinuke 
Published: August 2021

Purpose
The purpose of the study was to assess the association between iron intake and the incidence of anaemia during pregnancy as well as estimate the prevalence and magnitude of anaemia in pregnancy.

Design/methodology/approach
A retrospective case-control study was conducted on 383 postnatal women at four health-care facilities. Data on iron supplementation and haemoglobin (Hb) levels during pregnancy was collected from the respondents. Spearman, Pearson Chi-square tests of independence were used to measure associations between variables, a log-linear model was adopted to ascertain the association and level of interaction among variables. All p-values < 0.05 were considered statistically significant.

Findings
Results show 54.3% prevalence of anaemia at registration and 33.6% at 36 weeks of pregnancy, p < 0.001. Iron supplement intake during pregnancy was 96.3%. The log-linear analysis model retained the Parity × Marital Status interaction across the levels of anaemia (p < 0.001). Compared to married pregnant women, single pregnant women were almost equally likely to be anaemic (OR = 1.06).

Research limitations/implications
One of the limitations of retrospective studies is recall bias; however, this was likely to be minimal, as participants were approached within 8 days after delivery. Despite this, this study still holds promise as it reports a rather high prevalence of anaemia at 36 weeks even with the high intake of iron.

Originality/value
Anaemia in pregnancy is a major public health issue because of the consequential outcomes on maternal and child health. The study identified a high prevalence of anaemia at registration; which could be the basis for intensifying pre-natal iron supplementation before pregnancy.
Information literacy: a desideratum of the 21st century
Authors: Reddy Pritika , Sharma Bibhya , Chaudhary Kaylash , Lolohea ’Osaiasi , Tamath Robert 
Published: August 2021

PurposeThe research surveyed the competency of information literacy of senior high school students in Fiji. This is to evaluate the strong predictors of information literacy.Design/methodology/approachThe study adopted a survey research design whereby a five-point Likert scale self-reporting questionnaire was administered to Year 12 and Year 13 secondary school students. The data were analysed using the Statistical Package for the Social Sciences (SPSS) software-descriptive statistics of calculating the mean and standard deviation, a correlation and linear regression analysis to deduce the strong predictors of information literacy.FindingsThe study showed that 81% of the students surveyed were average to above average information literate. The strong predictors of information literacy were the ability of an individual to collaborate and share safely online, the ability to share files securely and the ability to access the credibility of any resource assessed on the digital platform.Research limitations/implicationsThe current study evaluates information literacy of a cohort – stating how information literate the participants are, comprehending the strong predicators of information literacy so that there is an appropriate and effective implementation of interventions for the desired improvements.Practical implicationsThe results can be used to improve information literacy of students at all levels of education in the Fiji Islands.Social implicationsIf the youths are information literate they will be able to effectively contribute towards the development of their economy. Since the work environment today is technology oriented and involves a lot of information, being information literate means knowing how to use the information and differentiate between good and bad information. Hence, contributing effectively towards whatever task is performed.Originality/valueThis research if the first ever research done on evaluating the information literacy of individuals in Fiji.
Impact of COVID-19 pandemic and the diagnosis of the virus in the human body
Authors: Manorama Devi Bingi , Vemuri Sandeep , Chandrashekhar A. , C. Sushama , Nandankar Praful Vijay , Kundu Pankaj 
Published: August 2021

Purpose
The COVID-19 pandemic has led to a huge loss of human life worldwide and presents an unprecedented challenge to public health, food systems and the world of work. Tens of millions of people are at risk of falling into extreme poverty due to loss of their carriers. Mainly, the people who work in public places are impacted due to this decease. The frontline warriors such as doctors, health workers, sweepers and policemen showed their effort to reduce the spreading of the virus. In this paper gives the detailed view of how the corona virus evaluated and how it spread from one person to another person and how we prevent this virus. The purpose of the paper, detailed about the diagnosis of the virus in the human body. There are some tests associated to know the presence of virus in our body; these are nose test, chest scan and CT scan of lungs.

Design/methodology/approach
Molecular analysis methods such as antibody or enzyme tests are used to assess whether the infection is present. The most common lancing techniques include using a cotton swab is in the back of the neck. Then hands over the sample to the doctor for examination. Polymerase chain reaction (PCR) is performed on the sample. This test screens for viral DNA. A CO19 PCR test can detect unique SARS-2 gene products. If one of these genes is ignored, it will return as an invalid result This test is useful only for patients who are already suffering from COVID-19. You cannot know if anyone has the infection, and they cannot say for sure whether they ever did. Serological tests are particularly useful for detecting cases of infection with mild or no symptom.

Findings
In this paper, the different tests provided to diagnosis the virus and the prevention measures to be taken to prevent the virus from spreading from one person to another are explained.

Originality/value
This work presents the original contribution and information of the COVID-19 pandemic.
Low‐intensity land‐use enhances soil microbial activity, biomass and fungal‐to‐bacterial ratio in current and future climates
Authors: Sünnemann Marie , Alt Christina , Kostin Julia E. , Lochner Alfred , Reitz Thomas , Siebert Julia , Schädler Martin , Eisenhauer Nico 
Published: August 2021

Abstract

Progressing climate change and intensified land‐use exert unprecedented pressures on soil microbial communities, thus endangering the essential ecosystem functions they provide. However, these global change factors do not act in isolation from each other, making ecosystem consequences hard to predict.

To address this knowledge gap, we tested the interactive effects of climate change and land‐use intensity on soil microbial activity, biomass and community composition in a large‐scale field experiment. We tested soil microbial responses to a future climate scenario (ambient climate vs. increased temperature by +0.6°C and altered rainfall patterns) in two land‐use types (cropland vs. grassland) with two levels of land‐use intensity each (high‐intensity vs. low‐intensity). While high‐intensity land‐use is characterized by fertilization and pesticide use, low‐intensity land‐use refrains from both. We measured soil microbial activity and biomass twice per year within a 5‐year period and used phospholipid fatty acid analysis to explore changes in microbial community composition.

In contrast to our expectations, soil microbes remained largely unaffected by future climate conditions. However, we found evidence that not just the type of land‐use, but also their respective management intensity (high vs. low) had strong effects on soil microbes. Low‐intensity management promoted soil microbial activity and biomass in grasslands, but this beneficial effect needed several years to establish. Moreover, we show that low‐intensity management increased AM fungi and fungal‐to‐bacterial ratios in croplands as well as grasslands.

Our study shows that farmers can promote soil ecosystem functions through low‐intensity management measures. In grasslands, low‐intensity management measures such as high plant diversity consisting of grasses, forbs and legumes, and no mineral fertilization improve soil microbial activity and biomass, as well as the fungal‐to‐bacterial ratio. On arable land, compliance with EU organic farming regulations improves the fungal‐to‐bacterial ratio. We conclude that low‐intensity management can have positive effects on efficient carbon storage, nutrient cycling, soil erosion control and ecosystem multifunctionality under different land‐use and climate change scenarios.
The effects ofCOVID‐19 containment measures on the Asia‐Pacific region
Authors: Furceri Davide , Kothari Siddharth , Zhang Longmei 
Published: August 2021

AbstractAs the COVID‐19 pandemic spread across the world, governments introduced significant containment measures to control the spread of the virus. In this paper, we leverage inputs from IMF desk economists to construct a novel narrative index of containment measures for 11 countries in the Asia‐Pacific region. A key innovation in our index is that it distinguishes between economic sectors (services, industry, retail), thus providing a more granular view of restrictions related to economic activity. Using this index, along with other high‐frequency data, we find that containment measures have been successful in reducing the spread of the virus (though with some heterogeneity) but have also been associated with large short‐term economic costs. Furthermore, exploiting the granularity of our index, we find that differences in strategies across countries regarding the closing of the industrial sector have mattered: imposing less severe restrictions on industry has been associated with lower economic costs without leading to worse health outcomes, possibly reflecting the less contact intensive nature of industrial activity.
Value of InSAR for Monitoring Land Subsidence to Support Water Management in the San Joaquin Valley, California
Authors: Jones Jeanine , Jones Cathleen E. , Bekaert David P.S. 
Published: August 2021

AbstractLand subsidence caused by groundwater extraction in California’s San Joaquin Valley has been occurring for many decades. In situ monitoring of subsidence in this large geographic area has historically been limited. The California Department of Water Resources (CDWR) sought the National Aeronautics and Space Administration’s assistance for satellite‐ and aircraft‐based synthetic aperture radar interferometry (InSAR) monitoring of subsidence during the 2012–2016 drought. InSAR was successful in cost‐effectively providing first‐ever synoptic measurement of land subsidence over the entire San Joaquin Valley. The purpose of the monitoring was screening or hotspot detection of impact areas affecting critical water infrastructure. Long‐term cumulative land subsidence has substantially reduced the conveyance capacity of sections of major valley canals and the monitoring revealed that subsidence rates observed during the drought ranked with maximum historically observed rates, highlighting risks to water infrastructure. InSAR also identified new and rapidly emerging hotspots adjacent to critical water infrastructure. The success of the InSAR monitoring for drought response resulted in CDWR’s decision to subsequently provide InSAR data as technical assistance to local agencies required to comply with recent state groundwater management legislation.