bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling combined economic emission dispatch for renewable energy system via Levy-based glowworm swarm optimization
Authors: Acharya Srinivasa , Sivarajan Ganesan , Kumar D. Vijaya , Srikrishna Subramanian 
Published: April 2022

PurposeCurrently, more renewable energy resources with advanced technology levels are incorporated in the electric power networks. Under this circumstance, the attainment of optimal economic dispatch is very much essential by the power system as the system requires more power generation cost and also has a great demand for electrical energy. Therefore, one of the primary difficulties in the power system is lowering the cost of power generation, which includes both economic and environmental costs. This study/paper aims to introduce a meta-heuristic algorithm, which offers an solution to the combined economic and emission dispatch (CEED).Design/methodology/approachA novel algorithm termed Levy-based glowworm swarm optimization (LGSO) is proposed in this work, and it provides an excellent solution to the combined economic and emission dispatch (CEED) difficulties by specifying the generation of the optimal renewable energy systems (RES). Moreover, in hybrid renewable energy systems, the proposed scheme is extended by connecting the wind turbine because the thermal power plant could not control the aforementioned costs. In terms of economic cost, emission cost and transmission loss, the suggested CEED model outperforms other conventional schemes genetic algorithm, Grey wolf optimization, whale optimization algorithm (WOA), dragonfly algorithm (DA) and glowworm swarm optimization (GSO) and demonstrates its efficiency.FindingsAccording to the results, the suggested model for Iteration 20 was outperformed GSO, DA and WOA by 23.46%, 97.33% and 93.33%, respectively. For Iteration 40, the proposed LGSO was 60%, 99.73% and 97.06% better than GSO, DA and WOA methods, respectively. The proposed model for Iteration 60 was 71.50% better than GSO, 96.56% better than DA and 95.25% better than WOA. As a result, the proposed LGSO was shown to be superior to other existing techniques with respect to the least cost and loss.Originality/valueThis research introduces the latest optimization algorithm known as LGSO to provide an excellent solution to the CEED difficulties by specifying the generation of the optimal RES. To the best of the authors’ knowledge, this is the first work that utilizes LGSO-based optimization for providing an excellent solution to the CEED difficulties by specifying the generation of the optimal RES.
Does the concept of “creating shared value” make sense for multinational firms?
Authors: Nandi Santosh , Nandi Madhavi Latha , Sindhi Sumita 
Published: April 2022

Purpose
The paper aims to explore how Porter and Kramer’s “Creating shared value” (CSV) framework supports the multinational corporation’s business model to turn social problems into business opportunities in two contextually different international markets.

Design/methodology/approach
Conceptually, the paper uses the CSV framework to argue that evaluation of business models in different societal contexts (geographically, culturally and economically) might be able to shed more light on the firm-societal needs. Empirically, the paper conducts a comparative content analysis of the business models of an international brand of a three-wheeler vehicle – Piaggio Ape – in Italy and India since its launch right after World War II. The content for qualitative analysis was identified using the Nexis Uni database.

Findings
Findings reveal that CSV outlines the strategy for firms to integrate societal concerns uniquely into their business models, rather than solving them in isolation. However, the business model performances resulting from these firm–society linkages may vary in an emerging market and a developed market. Regulatory fit is yet another factor that decides how well CSV could be applied.

Research limitations/implications
Given CSV’s contradictory perception in corporate governance literature, the study empirically establishes its theoretical value in explaining the actions and success of strategic decisions that large multinational firms take. The interactions between the underlying attributes of four CSV strategies, the regulatory fit and business model success are articulated in the form of propositions and an integrated CSV framework. Given the paper’s two-case comparative analysis, the generalizability of the identified attributes of the four CSV strategies is limited and therefore calls for future research using larger samples of firms practicing shared value perspectives.

Practical implications
Corporate and international business managers can use the study findings and the proposed framework to comprehend scenarios beyond business systems and to apply CSV as a tool to address market needs in concurrence with addressing environmental and societal concerns.

Originality/value
The paper is one of the initial attempts to evaluate and extend the “CSV” perspective in the international business context and, thus, promises a broad future research scope.
Green CEO, managerial ability and environmental performance
Authors: Putra Adhitya Agri , Mela Nanda Fito , Putra Ferdy 
Published: April 2022

Purpose
This research aims to examine the moderating role of green chief executive officer (CEO) in the effect of managerial ability (MA) on environmental performance (ENV).

Design/methodology/approach
This research’s sample consists of 197 manufacturing firm-years that are listed on the Indonesian Stock Exchange and the Program Penilaian Peringkat Kinerja Perusahaan Dalam Pengelolaan Lingkungan Hidup (PROPER) participants. Data analysis use industry- and year-effect regression analysis.

Findings
The result shows that MA improves ENV when led by a green CEO. It indicates that a green CEO with higher MA considers environmental responsibilities as a valuable investment to create business competitive advantages and sustainability.

Research limitations/implications
First, this research only uses the PROPER participants as the research sample. Second, by nature, MA measurement errors might still exist because it is hard to determine the MA with qualitative factors. Third, this research does not split the environmental responsibilities into a wider spectrum, such as environmental–business, environmental–regulation or environmental–ethical spectrum.

Originality/value
This research provides new evidence that higher MA by green CEO increases ENV in Indonesia. This research also gives a contribution to fill the inconsistent previous findings of MA and ENV.
Study on temperature cycling reliability of Sn-5Sb-0.5Cu-0.1Ni-0.5Ag/Cu micro solder joints
Authors: Xu Meng , Sun Fenglian , Pan Zhen , Liu Yang 
Published: April 2022

Purpose
The purpose of this paper is to study the temperature cycling reliability of Sn-5Sb-0.5Cu-0.1Ni-0.5Ag/Cu micro solder joints compared with Sn-5Sb/Cu and SAC305/Cu micro solder joints, which has important engineering and theoretical significance for the research of micro solder joint reliability. This paper also aims to provide guidance for the selection of solder for third-generation semiconductor power device packaging.

Design/methodology/approach
The shear strength, plasticity, bulk solder hardness and creep performance of three kinds of micro solder joints before and after temperature cycling were studied by nanoindentation and micro shear experiments. Scanning electron microscopy and energy dispersive spectrometry were used to analyze the fracture mode, fracture position and compound composition of the solder joints.

Findings
The bulk solder hardnesses and shear strengths of Sn-5Sb-0.5Cu-0.1Ni-0.5Ag/Cu solder joints were higher than those of Sn-5Sb/Cu and SAC305/Cu solder joints before and after temperature cycling. The indentation depth, creep displacement and creep rate of bulk solders of Sn-5Sb-0.5Cu-0.1Ni-0.5Ag/Cu solder joints were the smallest compared with those of Sn-5Sb/Cu and SAC305/Cu solder joints after the same number of cycles. In addition, the fracture mode and fracture position of the micro solder joints changed before and after temperature cycling.

Originality/value
A new type of solder was developed with excellent temperature cycling performance.
Convolutional neural network‐based classification of microseismic events originating in a stimulated reservoir from distributed acoustic sensing data
Authors: Liu Youfang , Huff Owen , Luo Bin , Jin Ge , Simmons James 
Published: April 2022

ABSTRACTThis study presents a workflow of using a convolutional neural network to automatically classify microseismic events originating from a more productive oil and gas‐bearing formation (the Eagle Ford Shale), as compared to events originating in less productive formations (the Austin Chalk and Buda Limestone). These microseismic events occur due to hydraulic stimulation and are recorded by fibre optic–distributed acoustic sensing measurements from a horizontal monitoring well. The convolutional neural network is trained to recognize guided wave energy in distributed acoustic sensing seismograms, since microseismic events originating within or close to a low‐velocity reservoir (such as the Eagle Ford) generate significant guided wave energy. The training of convolutional neural network is conducted using synthetic seismograms overlain with real noise profiles from field data. Field events with guided waves are then classified by the convolutional neural network as occurring within or close to the Eagle Ford, while events without guided waves are classified as occurring far outside the Eagle Ford. Noise attenuation steps (including a bandpass filter, median filter and non‐local means filter) are implemented to increase the signal‐to‐noise ratio of the field data and improve the classification accuracy. The accuracy of the convolutional neural network is measured by comparison with labels of the events determined by human inspection of guided wave presence. We also evaluate the impact of different network architectures and noise attenuation methods on classification accuracy. The accuracy and F1‐score of the final classification are both 0.85 when tested on a high signal‐to‐noise ratio subset of the field data. On the complete dataset including low signal‐to‐noise ratio events, an accuracy and F1‐score of 0.80 are achieved. These results demonstrate the high effectiveness of the trained convolutional neural network on guided wave detection and classification of microseismic events inside and outside the Eagle Ford formation.
Rebuilding green infrastructure in boreal production forest given future global wood demand
Authors: Moor Helen , Eggers Jeannette , Fabritius Henna , Forsell Nicklas , Henckel Laura , Bradter Ute , Mazziotta Adriano , Nordén Jenni , Snäll Tord 
Published: April 2022

Abstract

Global policy for future biodiversity conservation is ultimately implemented at landscape and local scales. In parallel, green infrastructure planning needs to account for socioeconomic dynamics at national and global scales. Progress towards policy goals must, in turn, be evaluated at the landscape scale. Evaluation tools are often environmental quality indicators. How developments of different organism groups will relate to developments of these indicators is unclear.

We evaluated three management scenarios for a 100,000 hectare boreal forest landscape in the coming 100 years in terms of their effects on the future habitat suitability/occupancy of four bird species, six wood‐decaying fungi and one lichen, most of them red‐listed. The scenarios optimize financial returns and account for downscaled projected global demand of wood given a middle‐of‐the road Shared Socioeconomic Pathway (SSP2). We contrast a reference scenario meeting the wood demand against an economy scenario with no upper harvest limit, and a green infrastructure scenario optimizing the levels of environmental indicators.

Environmental indicators generally reached the highest and lowest levels in the green infrastructure and economy scenarios, respectively. Most indicators increased further in set‐asides. The profit was 14% lower in the green infrastructure and 2% higher in the economy than in the reference scenario.

In the green infrastructure scenario, the species increased on average by 135%, followed by the reference scenario (+65%), and the economy scenario (+47%). All bird species increased in the green infrastructure scenario, while in the other scenarios, only hazel grouse increased and Siberian tit instead decreased. Most fungi increased in the production forest of the green infrastructure scenario but decreased in the economy scenario. All increased in set‐asides. In all scenarios, the lichen Lobaria pulmonaria increased, owing to host tree retention.

Synthesis and applications. Effects of global socioeconomic developments can be downscaled and accounted for in planning landscape‐scale forest and conservation management. Accounting for indicators of environmental quality identified forest management scenarios for reaching targets on both revenue and conservation. Rebuilding green infrastructure in the production forest was possible at a relatively minor economic cost and to the benefit of species of conservation concern.
New insights into the energy metabolism and taxonomy ofDeferribacteresrevealed by the characterization of a new isolate from a hypersaline microbial mat
Authors: Spring Stefan , Rohde Manfred , Bunk Boyke , Spröer Cathrin , Will Sabine Eva , Neumann‐Schaal Meina 
Published: April 2022

SummaryStrain L21‐Ace‐BEST, isolated from a lithifying cyanobacterial mat, could be assigned to a novel species and genus within the classDeferribacteres. It is an important model organism for the study of anaerobic acetate degradation under hypersaline conditions. The metabolism of strain L21‐Ace‐BESTwas characterized by biochemical studies, comparative genome analyses, and the evaluation of gene expression patterns. The central metabolic pathway is the citric acid cycle, which is mainly controlled by the enzyme succinyl‐CoA:acetate‐CoA transferase. The potential use of a reversed oxidative citric acid cycle to fix CO2has been revealed through genome analysis. However, no autotrophic growth was detected in this strain, whereas sulfide and H2can be used mixotrophically. Preferred electron acceptors for the anaerobic oxidation of acetate are nitrate, fumarate and dimethyl sulfoxide, while oxygen can be utilized only under microoxic conditions. Aerotolerant growth by fermentation was observed at higher oxygen concentrations. The redox cycling of sulfur/sulfide enables the generation of reducing power for the assimilation of acetate during growth and could prevent the over‐reduction of cells in stationary phase. Extracellular electron transfer appears to be an essential component of the respiratory metabolism in this clade ofDeferribacteresand may be involved in the reduction of nitrite to ammonium.
One substrate, many fates: different ways of methanol utilization in the acetogen Acetobacterium woodii
Authors: Litty Dennis , Kremp Florian , Müller Volker 
Published: April 2022

SummaryAcetogenic bacteria such as Acetobacterium woodii use the Wood–Ljungdahl pathway (WLP) for fixation of CO2 and energy conservation. This pathway enables conversion of diverse substrates to the main product of acetogenesis, acetate. Methyl group containing substrates such as methanol or methylated compounds, derived from pectin, are abundant in the environment and a source for CO2. Methyl groups enter the WLP at the level of methyltetrahydrofolic acid (methyl‐THF). For methyl transfer from methanol to THF a substrate‐specific methyltransferase system is required. In this study, we used genetic methods to identify mtaBC2A (Awo_c22760‐Awo_c22740) as the methanol‐specific methyltransferase system of A. woodii. After methyl transfer, methyl‐THF serves as carbon and/or electron source and the respiratory Rnf complex is required for redox homeostasis if methanol + CO2 is the substrate. Resting cells fed with methanol + CO2, indeed converted methanol to acetate in a 4:3 stoichiometry. When methanol was fed in combination with other electron sources such as H2 + CO2 or CO, methanol was converted Rnf‐independently and the methyl group was condensed with CO to build acetate. When fed in combination with alternative electron sinks such as caffeate methanol was oxidized only and resulting electrons were used for non‐acetogenic growth. These different pathways for the conversion of methyl‐group containing substrates enable acetogens to adapt to various ecological niches and to syntrophic communities.
After the catastrophe: working with the intergenerational transmission of collective trauma in Jungian analysis
Authors: Feldman Brian 
Published: April 2022

AbstractThe psychological/emotional impact of the collective traumas and psychic catastrophes of the Jewish holocaust, Stalin’s Gulags, and China’s Cultural Revolution upon the second and third generation of survivors in the U.S., China and Russia is explored through the lens of Jungian analysis and infant observation. Infant observation research in Russia and China provides a scaffolding for the study of the transmission of collective trauma. Parent/infant interactions that may indicate that the intergenerational transmission of trauma is taking place will be explored. Analytical and infant observation research indicate that trauma can be transmitted from one generation to the next, often unconsciously, and that the impact of collective trauma creates tears and holes in the emergent cultural and personal psychic skins of the infant that can impede the development of a coherent individual identity, as well as secure attachment relationships. These tears and holes in the cultural and personal psychic skins can later become the focus of analysis in the second and third generation of survivors. Analysis can become a space for both collective/personal mourning and healing as coherent symbolic, historical and personal narratives are co‐constructed and integrated within the analytical temenos.
Latin America – a civilization in transition viewed from the angle of the emotions
Authors: Raydan Pablo , Vargas Mireya 
Published: April 2022

AbstractLatin America is a civilization in transition, a kind of ‘in‐between’, as Rafael López‐Pedraza would coin the expression: it is associated not only with various levels of pre‐existing consciousness, but also with the emotional life of its inhabitants. This Latin American baroque speaks not only of the cultural complexes which pertain to all of the peoples in this vast territory, but also of why certain emotions – cruelty, intolerance, anxiety, sadness, resentment, joy, rage, envy, suffering, fear, indignation, jealousy, sorrow and shame, to name a few – move these complexes and acquire certain shades in each region and in each inhabitant. Let us remember the relationship that Jung establishes between the emotions and the complexes. For him, although the emotions are the same in their content, they cluster in the complexes of each individual or collective in such a specific, automatic, spontaneous and involuntary way that they possess their own energy, and no one can ignore them. Taking into account these notions of emotion and complex, we analyze some emotions proposed by López‐Pedraza (2008) in his book, Emotions: A List, to draw a picture of the collective emotions that predominate among Latin Americans.
Clinical algorithms for the management of intrapartum maternal urine abnormalities
Authors: Cheung KW , Tan LN , Meher S ,   the WHO Intrapartum Care Algorithms Working Group
Published: April 2022

AimTo develop evidence‐based clinical algorithms for management of common intrapartum urinary abnormalities.PopulationWomen with singleton, term pregnancies in active labour and immediate postnatal period, at low risk of complications.SettingHealthcare facilities in low‐ and middle‐income countries.Search strategyA systematic search and review were conducted on the current guidelines from WHO, NICE, ACOG and RCOG. Additional search was done on PubMed and The Cochrane Database of Systematic Reviews up to May 2020.Case scenariosFour common intrapartum urinary abnormalities were selected: proteinuria, ketonuria, glycosuria and oliguria. Using reagent strip testing, glycosuria was defined as ≥2+ on one occasion or of ≥1+ on two or more occasions. Proteinuria was defined as ≥2+ and presence of ketone indicated ketonuria. Oliguria was defined as hourly urine output ≤30 ml. Thorough initial assessment using history, physical examination and basic investigations helped differentiate most of the underlying causes, which include diabetes mellitus, dehydration, sepsis, pre‐eclampsia, shock, anaemia, obstructed labour, underlying cardiac or renal problems. A clinical algorithm was developed for each urinary abnormality to facilitate intrapartum management and referral of complicated cases for specialised care.ConclusionsFour simple, user‐friendly and evidence‐based clinical algorithms were developed to enhance intrapartum care of commonly encountered maternal urine abnormalities. These algorithms may be used to support healthcare professionals in clinical decision‐making when handling normal and potentially complicated labour, especially in low resource countries.Tweetable abstractEvidence‐based clinical algorithms developed to guide intrapartum management of commonly encountered urinary abnormalities.
Evaluation of tetrahydrocannabinolic acid (THCA) synthase polymorphisms for distinguishing between marijuana and hemp
Authors: Roman Madeline G. , Cheng Ya‐Chih , Kerrigan Sarah , Houston Rachel 
Published: April 2022

AbstractThe Controlled Substances Act (CSA) classifies marijuana (Cannabis sativa) as a Schedule I illicit drug. However, the recent Agriculture Improvement Act of 2018 (U.S. Farm Bill) removed hemp from the definition of marijuana in the CSA, making it a legal crop. As a result, many hemp products are now available, including strains of hemp buds high in other cannabinoids such as cannabidiol (CBD) or cannabigerol (CBG). The genetic inheritance of chemical phenotype (chemotype) has been widely studied, with the tetrahydrocannabinolic acid (THCA) synthase gene at the forefront. Previous studies have speculated that there are two forms of the THCA gene, one that produces an active enzyme (present in marijuana) and one that cannot produce a functional enzyme (present in hemp). A DNA analysis method is desirable for determining crop type in sample types inconducive to chemical analysis, such as immature crops, trace residues, small leaf fragments, seeds, and root material. This study optimized and evaluated a previously reported single nucleotide polymorphism (SNP) assay for determining C. sativa crop type. Furthermore, the presence or absence of 15 cannabinoids, including THC and THCA, was reported in cannabis reference materials and 15 legal hemp flower samples. The SNP assay correctly identified crop type in most samples. However, several marijuana samples were classified as hemp, and several hemp seeds were classified as marijuana. Two strains of legal CBG hemp flowers were also classified as marijuana, indicating that factors other than the genetic variation of the THCA synthase gene should be considered when determining crop type.