bluuebunny/crossref_metadata_2025_split huggingface dataset:
CLMB: deep contrastive learning for robust metagenomic binning
Authors: Zhang Pengfei , Jiang Zhengyuan , Wang Yixuan , Li Yu 
Published: November 2021

AbstractThe reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial functional roles. To achieve that, we need to perform metagenomic binning, clustering the assembled contigs into draft genomes. Despite the existing computational tools, most of them neglect one important property of the metagenomic data, that is, the noise. To further improve the metagenomic binning step and reconstruct better metagenomes, we propose a deep Contrastive Learning framework for Metagenome Binning (CLMB), which can efficiently eliminate the disturbance of noise and produce more stable and robust results. Essentially, instead of denoising the data explicitly, we add simulated noise to the training data and force the deep learning model to produce similar and stable representations for both the noise-free data and the distorted data. Consequently, the trained model will be robust to noise and handle it implicitly during usage. CLMB outperforms the previous state-of-the-art binning methods significantly, recovering the most near-complete genomes on almost all the benchmarking datasets (up to 17% more reconstructed genomes compared to the second-best method). It also improves the performance of bin refinement, reconstructing 8-22 more high-quality genomes and 15-32 more middle-quality genomes than the second-best result. Impressively, in addition to being compatible with the binning refiner, single CLMB even recovers on average 15 more HQ genomes than the refiner of VAMB and Maxbin on the benchmarking datasets. On a real mother-infant microbiome dataset with 110 samples, CLMB is scalable and practical to recover 365 high-quality and middle-quality genomes (including 21 new ones), providing insights into the microbiome transmission. CLMB is open-source and available at https://github.com/zpf0117b/CLMB/.
Learning through automated processes: negative social influence among coworkers
Authors: Morrell Daniel L. , Moake Timothy R. , Medina-Craven Michele N. 
Published: November 2021

Purpose
This paper discusses how minor counterproductive workplace behavior (CWB) scripts can be acquired or learned through automated processes from one employee to another.

Design/methodology/approach
This research is based on insights from social information processing and automated processing.

Findings
This paper helps explain the automated learning of minor CWBs from one’s coworkers.

Practical implications
While some employees purposefully engage in counterproductive workplace behaviors with the intent to harm their organizations, other less overt and minor behaviors are not always carried out with harmful intent, but remain counterproductive, nonetheless. By understanding how the transfer of minor CWBs occurs, employers can strive to set policies and practices in place to help reduce these occurrences.

Originality/value
This paper discusses how negative workplace learning can occur. We hope to contribute to the workplace learning literature by highlighting how and why the spread of minor CWBs occurs amongst coworkers and spur future research focusing on appropriate interventions.
Understanding “process vs product” in the shelter and settlements sector: a reflection
Authors: George Jennifer Ward 
Published: November 2021

Purpose“Process” vs “product”: this concept was originally introduced by Ian Davis in 1978 in Shelter After Disaster. However, 40 years later, in the halls of universities, it would appear a long way from having settled in the minds of upcoming engineers and architects looking to contribute to the field of disaster management. This key understanding is a major steppingstone to those pursuing careers in the shelter and settlements sector. However, the clarity of the argument and its importance still fails to reach some humanitarians in the early stages of their career. This perspective reflects on the key arguments for and against process over product and reflects on the reasons for the lack of recognition of this concept in early stage academics in the shelter and settlements sector. It also discusses the academic practitioner divide and pathways for learning within the sector.Design/methodology/approachThis perspective reflects on discussions over four years of a progression into the humanitarian shelter and settlements sector from a construction and engineering background. It discusses the author’s personal progression in understanding process over product and observations of other early stage researchers taking similar pathways. It also examines literature in the sector and the key texts which affect this progression. Furthermore, this perspective provides comments from experts in the shelter and settlements sector through a small series of informal interviews. This provides insight into their experience with upcoming architects and engineers, and key messages for early stage researchers.FindingsThis reflection found that upcoming architects and engineering students still undergo a journey of understanding over “process vs product” despite changes in the industry. These students can benefit from the understanding of shelter as a process.Originality/valueThe concept of process vs product is not a new one. It is arguably one of the most central arguments to the shelter and settlements sector. However, there is very little written on the learning of this concept or the effects it has on understanding the broader aspects of the sector. This reflection can provide significant value to early stage researchers who have yet to engage with this concept, and further highlight its importance of learning pathways to the sector.
Linking human resources practices to employee engagement in the hospitality industry: the mediating influences of psychological safety, availability and meaningfulness
Authors: Rabiul Md Karim , Mohamed Ahmad Edwin , Patwary Ataul Karim , Yean Tan Fee , Osman Siti Zaitun 
Published: November 2021

PurposeDrawing on self-concept theory, this study evaluates the mediating effects of employees' psychological states on the relationship between human resources (HR) practices and employee engagement.Design/methodology/approachThrough random sampling, 434 customer-contact frontline employees from five-star hotels in Malaysia participated in the cross-sectional survey.FindingsThe results produced by the Smart-PLS (partial least squares) indicate that HR practices positively and significantly influence employees' psychological states of safety, meaningfulness and availability. All these psychological states also exert positive influences on employee engagement (organisational and work engagement). Safety and availability mediate the links between HR practices and employee engagement, but not meaningfulness.Practical implicationsHR practices and employees' psychological states are necessary in ensuring positive employee outcomes and improving customer service provision.Originality/valueThe findings contribute to the further extension of self-concept theory and employee engagement by incorporating the mediating roles of employees' psychological states in the relationships between HR practices and employee engagement.研究目的以自我概念理論為依據，本研究擬評估僱員的心理狀態、如何在人力資源做法與員工敬業度之間的聯繫上起著仲介的效應。研究方法透過隨機抽樣法，434名在馬來西亞五星級酒店工作、接觸顧客的一線員工被選參與一個橫斷面調查。研究結果以SmartPLS (偏最小平方)取得的研究結果顯示、人力資源做法正面地影響著員工的安全感、工作給予的意義和感知的組織支援；而且，這些心理狀態，均會對員工的敬業度(對組織的自豪感及對工作的投入)起著正面的影響。另外，安全感和感知的組織支援在人力資源做法與員工敬業度之間的聯繫上、起著仲介之效應；唯工作給予的意義則沒有這個效應。研究的原創性研究結果進一步伸展了自我概念理論及員工敬業度方面的論述，這是由於本研究把員工心理狀態所扮演的中介角色，納入人力資源做法與員工敬業度的聯繫中。研究給予的啓示若要確保積極的員工成果及提供更佳的顧客服務，有效的人力資源做法和正面的員工心理狀態是不可或缺的。
Optimization of building envelopes using indigenous materials to achieve thermal comfort and affordable housing in Abuja, Nigeria
Authors: Jegede Olumide Ebenezer , Taki Ahmad 
Published: November 2021

PurposeThis paper aims to demonstrate the optimization of an existing residential building in a tropical climate using indigenous materials as an alternative to conventional building envelopes to achieve thermal comfort and affordable housing.Design/methodology/approachThis study mainly adopted a quantitative research methodology through a comprehensive simulation study on a selected prototype building. The energy plus simulation tool in DesignBuilder was used to predict the average monthly and annual thermal comfort of a typical residential building in the study area. Also, a cost analysis of the final optimization interventions was conducted to estimate the construction cost savings.FindingsThe comparative analysis of simulation results for the base-case and optimized models indicates potential advantages in replacing conventional building envelope materials with indigenous materials. The base-case simulation results showed that the annual operative temperature is more than the adaptive thermal comfort set points in tropical climates, by 8.26%. This often leads to interventions using mechanical cooling systems, thus triggering overconsumption of energy and increase in CO2 emissions. The building envelope materials for floor, walls and roof were replaced with low U-values indigenous materials until considerable results in terms of thermal comfort and overall building construction cost were achieved. The final simulation results showed that using indigenous materials for the ground floor, external walls and roof could substantially reduce the annual operative temperature by 8%, thereby increasing the predicted three months of thermal comfort in the base-case to nine months annually. Likewise, there was a 32.31%, 35.78% and 41.81% reduction in the annual CO2 emissions, cooling loads and construction costs, respectively.Originality/valueThe knowledge of indigenous materials as an alternative to conventional materials for sustainable buildings is not new. However, most of the available research is focused on achieving affordable housing. There is a dearth of research showing the extent that these indigenous materials can be used to improve indoor thermal comfort in developing countries with tropical climates such as Nigeria.
What helps or hinders the emotional intelligence practice? A study of Vietnamese hotel workers
Authors: Nguyen Quynh , Ladkin Adele , Osman Hanaa 
Published: November 2021

Purpose
Drawing from emotional labour (EL) and emotion regulation (ER) theories, this paper aims to identifiy what helps and what hinders the emotional intelligence (EI) practice of Vietnamese hotel workers. Researching EI qualitatively from a novel context highlights the influence of culture on EI.

Design/methodology/approach
The critical incident technique (CIT) was adopted as the qualitative methodological approach using a self-administered form and semi-structured interviews to collect empirical data from a sample of 34 Vietnamese hotel workers in 19 different hotels.

Findings
The findings show that following Joseph and Newman’s (2010) cascading model of EI would help hotel workers in their practice. The research also found different factors hindering the EI practice from the individual and organisational levels. Vietnamese culture was believed to guide deep-acting and meditation. Language barrier and manager support emerged as significant factors that could help or hinder their EI practice.

Research limitations/implications
The research proposes a conceptual framework addressing the factors that could help or hinder the EI practice and provides implications for HR practices and management. Caution could be taken when applying the research implications because of the small sample as a nature of qualitative research.

Originality/value
To the best of the authors’ knowledge, this is the first attempt to appraise the EI practice adopting the CIT as a qualitative methodological approach in an under-research context and add evidence to the theoretical links between EI, EL and ER.
The mediation role of the PMO in the transfer of knowledge between projects – a case study of five PMOs
Authors: Tshuma Brighton , Steyn Herman , van Waveren Cornelis Cristo 
Published: November 2021

PurposeThis article describes advances in the study of knowledge transfer (KT) in project-based organizations (PBOs). Project management offices (PMOs) have both a moderation role and a mediation role to play in KT between projects. In order to improve KT between projects, this paper explores the mediation role of the PMO in the transfer of knowledge with different levels of articulability. The aim is to improve the usability of transferred knowledge.Design/methodology/approachThe case study method was used to investigate KT in five-divisional PMOs within a multinational engineering and project management PBO. Fifteen semi-structured interviews were conducted and the results were analysed using ATLAS.Ti (a computer-aided qualitative data analysis software).FindingsThe findings show that it is the way in which the PMO structures knowledge management (KM) infrastructure and processes, which determines the success of its mediation role in the transfer of tacit and explicit knowledge between projects. The articulability of knowledge influences the PMO's mediation role and the PMO's mediation role in turn improves the usability of knowledge, thereby creating a conducive environment for a competitive advantage.Originality/valueThis study offers a framework to assist scholars and practitioners to understand the mediation role of the PMO in the transfer of knowledge with different levels of articulability within the projects environment. Such understanding can improve the usability of transferred knowledge, thereby creating a competitive edge for a PBO. The study shows that the PMO can be used as an instrument for KT between projects, a theme that was not found in literature. The paper thus offers new empirical information.
Do foreign direct investments and bank credits affect employment in Uzbekistan?
Authors: Suyunov Alisher 
Published: November 2021

PurposeThe paper investigates the relationship between credit to the economy, foreign direct investment (FDI) and the unemployment rate in Uzbekistan using macroeconomic time series over 2004–2019.Design/methodology/approachThe study estimates the relationship by applying a vector autoregression model, which is considered a “workhorse” model for policy analysis to capture dynamic relationships in economic time series.FindingsThe results suggest both growth in credit to the economy and FDI Granger cause a change in the unemployment rate. The authors found 1% increase in bank credits to the economy growth decreases the unemployment rate by 0.096 pp. over eight years. On the contrary, 1% positive shock to FDI growth increases the unemployment rate by 0.0036% in the context of Uzbekistan.Practical implicationsUzbekistan should improve FDI absorptive capacity, particularly human capital and financial market development, through growth-enhancing structural reforms in the financial sector to stimulate economic growth and employment. The attracted FDI funds should focus on productive and economic sectors with high labor-absorptive capacity, such as financial and professional services, healthcare and biomedicine, creative industries and media, software sector.Originality/valueThe study contributes to the empirical literature on employment effects of FDIs and credit to the economy of Uzbekistan.
How does leader conscientiousness influence frontline staff under conditions of serious anxiety? An empirical study from integrated resorts (IRs)
Authors: Xue Jin , Mo Ziying , Liu Matthew Tingchi , Gao Ming 
Published: November 2021

PurposeThe objective of this study was to improve understanding of frontline staff's subjective happiness and anxiety during the COVID-19 pandemic by investigating the roles of employees' busy mindset and leader conscientiousness.Design/methodology/approachThe link between employee anxiety and subjective happiness was also explored, and the cross-level mediating effect of employee anxiety was tested using a multilevel design. A survey of 373 frontline staffers and 74 team leaders in the integrated resorts (IRs) was conducted in three waves: April (Time 1), May (Time 2) and June (Time 3) in 2020. The data were analysed with SPSS and Mplus using a hierarchical linear modelling (HLM) method.FindingsThe results indicated that during the COVID-19 pandemic, a busy mindset increased frontline staff's anxiety and thus decreased their subjective happiness, and leader conscientiousness remedied the effect of anxiety on subjective happiness.Practical implicationsThe findings are relevant to frontline staffers, team leaders in the hospitality industry and corporate service departments. Against the background of COVID-19, conscientious leaders can significantly help employees to overcome their anxiety and insecurity and improve their subjective happiness, answering the urgent call to deal with the challenges of the new work–life environment.Originality/valueThe study differs from previous other studies in two dimensions: First, the authors explored the interactions of the affective events from the cross-level perspectives, i.e. both team level and individual level. Second, the authors conducted this research on the mental issues of the hospitality frontline staffers in the context of the COVID-19 pandemic, which remains a black box to be explored.
First break picking with deep learning – evaluation of network architectures
Authors: Zwartjes Paul , Yoo Jewoo 
Published: November 2021

ABSTRACTIn recent years, various convolutional neural network architectures have been proposed for first break picking. In this paper, we compare the standard auto‐encoder and U‐net architectures as well as versions enhanced with ResNet style skip connections. The U‐net appears to have become the standard network for segmentation, judging from the number of published articles. Still, there is some variety in neural network architectural choices. In this paper, we assess the impact of neural network depth, width and input data size, as well as some small modifications for deep networks offered by the ResNet. In general, results improve as the networks get deeper, but with diminishing returns. The more complex the data, the more benefit the deeper networks bring. We use complete shot gathers, albeit rescaled for efficiency, to train the neural networks. For shot gathers with a simple piecewise linear moveout, this approach yields results with good accuracy when gathers are resampled to 128 × 128 samples. For shot gathers with more complex first break moveout, using our approach it is advised to stay close to the original dimension of each gather for best accuracy, at the expense of increased training times. A good trade‐off between network depth, image size and training times is to use a nine‐stage U‐net with 256 sample images. Despite the advantages in other applications, the basic U‐net outperforms a U‐net with ResNet features. We show that changing the input data dimensions for trained networks does not work, despite the fact the fully convolutional networks are independent of image size. The U‐net based first break picking is not sensitive to picking errors, as in many cases the neural network predictions are better than the training data where the training data have random mispicks. This suggests a practical application; namely, to train or re‐train a pre‐trained network on a single data set after conventional first break picking with the objective of improving conventionally picked first breaks.
Efficacy of long‐term indomethacin therapy in prolonging pregnancy after fetoscopic laser surgery for twin‐to‐twin transfusion syndrome: a collaborative cohort study
Authors: Mustafa HJ , Krispin E , Tadbiri H , Espinoza J , Shamshirsaz AA , Nassr AA , Donepudi R , Belfort MA , Cortes MS , Pederson N , Harman C , Turan OM 
Published: November 2021

ObjectiveTo evaluate the efficacy of long‐term indomethacin therapy (LIT) in prolonging pregnancy and reducing spontaneous preterm birth (PTB) in patients undergoing fetoscopic laser surgery (FLS) for the management of twin‐to‐twin transfusion syndrome (TTTS).DesignRetrospective cohort study of prospectively collected data.SettingCollaborative multicentre study.PopulationFive hundred and fifty‐seven consecutive TTTS cases that underwent FLS.MethodsLong‐term indomethacin therapy was defined as indomethacin use for at least 48 hours. Log‐binomial regression was used to estimate the relative risk of PTB in the LIT group compared with a non‐LIT group. Cox regression was used to evaluate the association between LIT use and FLS‐to‐delivery survival.Main outcome measuresGestational age (GA) at delivery.ResultsAmong the 411 pregnancies included, a total of 180 patients (43.8%) received LIT after FLS and 231 patients (56.2%) did not. Median GA at fetal intervention did not differ between groups (20.4 weeks). Median GA at delivery was significantly higher in the LIT group (33.6 weeks) compared with the non‐LIT group (31.1 weeks; P < 0.001). FLS‐to‐delivery interval was significantly longer in the LIT group (P < 0.001). The risks of PTB before 34, 32, 28 and 26 weeks of gestation were all significantly lower in the LIT group compared with the non‐LIT group (relative risks 0.69, 0.51, 0.37 and 0.18, respectively). The number needed to treat with LIT to prevent one PTB before 32 weeks of gestation was four, and to prevent one PTB before 34 weeks was five.ConclusionLong‐term indomethacin after FLS for TTTS was found to be associated with prolongation of pregnancy and reduced risk for PTB.Tweetable abstractLong‐term indomethacin used after fetoscopic laser surgery for twin‐to‐twin transfusion syndrome is effective in prolonging pregnancy and reducing the risk for preterm birth; especially extreme preterm birth.
Body‐worn cameras, lawful police stops, and NYPD officer compliance: A cluster randomized controlled trial*
Authors: Braga Anthony A. , MacDonald John M. , McCabe James 
Published: November 2021

AbstractThe federal court settlement of Floyd, et al. v. City of New York, et al. (2013) mandated that the New York City Police Department (NYPD) implement a series of reforms to address unlawful stop, question, and frisk patterns and practices. Among other changes, the remedial order required the NYPD to implement and evaluate a pilot body‐worn camera program to determine whether outfitting officers with the technology led to more lawful and civil police–citizen encounters. A cluster randomized controlled trial involving 40 police precincts and 3,889 NYPD officers was used to evaluate the effects of body‐worn cameras on a series of police work activity, civility, and lawfulness outcomes. Relative to control officers, citizen complaints against treatment officers outfitted with body‐worn cameras were reduced by 21 percent. Treatment officers, however, also filed nearly 39 percent more stop reports when compared with control officers. Treatment stop reports tended to involve minority subjects, were less likely to involve arrests and summons, and were significantly more likely to be rated as not meeting constitutional justifications for stops, frisks, and searches. These results suggest that body‐worn cameras improved NYPD officer compliance with mandates to document all stops and could be used to address unlawful policing through better detection of problematic police–citizen encounters.