bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-cartography within migrants and refugees: a tool for resilience?
Authors: Davanture Adèle , Derivois Daniel 
Published: August 2020

Purpose
Meta-analyses indicate that migrants and refugees develop more mental health problems than the general population as a result of their exposure to armed conflict, violence and torture together with their experiences prior to, during and after resettlement. The purpose of this paper is to experience a tool that allows analysing how migrants and refugees represent the world and how they self-represent in the world.

Design/methodology/approach
The aim is to design a projective tool called “Self Cartography” to facilitate the production of migration stories, based on narratives.

Findings
The self-cartography tool revealed the psychological suffering generated by the brutality and violence of exile. The narratives about the pre-migratory phase appear to be more complex and more painful than the migratory and post-migratory phases.

Research limitations/implications
The preliminary interviews in the exploratory phase have raised certain methodological biases, such as the size of the map, which is currently in A2 format. It was described by some participants as being too large and a source of anxiety.

Practical implications
The purpose of this work is to conceptualise a standardised projective tool that can be used by researchers and professionals responsible for making therapeutic assessments and supporting individuals in migration situations.

Social implications
This tool aims to facilitate better social integration for migrants and refugees.

Originality/value
The self-cartography tool opens up the boundaries of narrativity in a geo-temporal space shared with the clinician. Using the world as a means to self-narrate can be thought of as an attempt to rewrite the collective and individual traumatic histories of our humanity.
Building organizational innovation through HRM, employee voice and engagement
Authors: Azevedo Marcia Carvalho de , Schlosser Francine , McPhee Deborah 
Published: August 2020

PurposeTo investigate how HRM in an established organization can support employee voice and engage employees to be innovative in their everyday lived experience.Design/methodology/approachThe research is based on a case study of an innovation event in an organization, where 27 employees were interviewed about the emotional, cognitive and behavioral aspects of their engagement in innovation.FindingsFindings highlight the importance of continuing HRM's involvement during an entire event process to connect innovation events with everyday work. HRM has a central role in initiatives that intend to support voice and stimulate the engagement of diverse employees in innovation in established firms.Research limitations/implicationsThis was a qualitative and cross-sectional case study of one organization and one event offered two years in a row.Practical implicationsIn order to promote innovation, HR and senior management should foster an environment that motivates employees and promotes voice behavior (Morrison, 2014). HRM can create multiple methods of engagement, acknowledging the diversity of the workforce profile and its specific needs. HRM has an important role within an innovation strategy; as it can, together with other areas, create, develop and maintain actions that support and recognize innovative ideas and encourage employees to become actively engaged with the inclusion of innovation in their daily work life. Specifically, innovation exercises are an activity with much potential to foster voice and promote engagement towards innovation.Originality/valueWe develop a model proposing relationships between HRM, employee voice, employee engagement, cross-department collaboration and innovation. The study also considers the engagement of a diverse group of employees in an established company context.
Mitigating workplace adversity through employee resilience
Authors: Douglas Stephanie 
Published: August 2020

Purpose
This paper aims to present the how resilience can mitigate workplace adversity and human resource practices (HRPs) to build capacity for resilience in employees.

Design/methodology/approach
A review of the literature was conducted for employee resilience.

Findings
Resilience can mitigate the negative effects of occupational and workplace adversity on employees. HRPs through job design, training and development and social support were found to foster capacity for resilience in employees and support organizational performance.

Practical implications
Organizations can use the findings to build organizational and human resource (HR) strategies to develop employee resilience.

Originality/value
The value of the paper is in presenting how employee resilience can lessen negative effects from workplace adversity and provide HR strategies to build resilience.
The challenge of change fatigue on workplace mental health
Authors: Bruce Jan , English Lucy 
Published: August 2020

Purpose
Change and “change fatigue” were contributing to a spectrum of workplace issues – from extreme stress and burnout – to rising mental health issues even before the impact of COVID-19. This paper aims to examine why identifying mental and behavioral health issues had become a top priority for some employers and explore the negative impacts mental health issues present to organizations.

Design/methodology/approach
To gain this additional insight and data, meQuilibrium partnered with Employer Health Innovation Roundtable (EHIR) to hold a series of four workshops and focus groups, in the Fall of 2019 with 37 participating EHIR members representing large employers. The authors also gathered data through a short survey instrument. The discussions and the survey focused on the current mental and behavioral health challenges being faced by their organizations and what innovations are being put in place or will need to be put in place as part of a future integrated workforce strategy.

Findings
A key, and foundational, finding was that among these human resource (HR) leaders there was a view shared by 97% of survey respondents that the workplace was facing a greater mental health challenge than previously. Hundred per cent of participants agreed that the success of a workplace mental health solution will now require highly personalized, whole-person care across the full range of problems from mild to severe and will need to include not just the employee but also their spouse/partner and children.

Originality/value
While identifying mental and behavioral health issues had become a top priority for some employers even before the pandemic, meQuilibrium believed there was a need for more clarity as to how the HR professionals were viewing the urgency of the situation. This study examines key stakeholders in their organizations, the effectiveness of their current solutions and what new approaches to employee mental health they were considering. This paper includes original data compiled through workshops and focus groups.
Positioning push–pull boundary in a hesitant fuzzy environment
Authors: Pournamazi Seyedeh Roya , Ghasemy Yaghin R. , Jolai Fariborz 
Published: August 2020

AbstractNowadays, fierce competition enforces supply chain planners to develop market‐oriented production strategies. Customer order decoupling point (CODP) could increase the supply chain efficiency and responsiveness simultaneously. The right position of CODP in production industries will result in a pattern for trade‐off between responsiveness and operational efficiency. The purpose of this paper is to address the positioning problem of a push‐pull boundary in a fuzzy hesitant environment. To this end, a hybrid multi‐criteria decision‐making methodology of analytic network process (ANP) and VIKOR is proposed in a hesitant judgement environment to determine the position of CODP in a supply chain. Finally, CODP positioning in the apparel supply chain, as an industry‐based example, is analysed to show the applicability of the proposed method.
Sharp V‐notches in viscoplastic solids: Strain energy rate density rule and fracture toughness
Authors: Dai Yanwei , Susmel Luca , Qin Fei 
Published: August 2020

AbstractDifferent from Neuber's rule or Glinka's energy method which are always adopted to characterize the notch tip field under elastoplastic condition, in this paper, the strain energy rate density (SERD) rule is used for viscoplastic materials. In particular, based on the definition of generalized notch stress intensity factor (G‐NSIF) for sharp V‐notch in viscoplastic solids, the concept of SERD for sharp V‐notch in viscoplastic solids is presented. Subsequently, by taking as a starting point the SERD, the averaged strain energy density (SED) for sharp V‐notch in viscoplastic solids is derived with integration of time. The fracture toughness relation between sharp V‐notch specimens and crack specimen in viscoplastic materials is given based on the transformation of SERD. A numerical approach is presented to compute the SERD and SED based on finite element method. Some crucial comments on the G‐NSIF have been discussed. Some typical solutions for SERD and SED for sharp V‐notched specimens are investigated.
Surgically treated gastric melanoma of unknown primary: A case report from a 10‐year survivor
Authors: Takahashi Toshiyuki , Sugita Shintaro , Kagaya Hidetoshi , Morita Takayuki 
Published: August 2020

AbstractWe describe an extremely rare case of simultaneous double melanoma of the stomach with no other obvious primary source. The patient has survived for more than 12 years post‐complete gastrectomy. The patient was a woman in her seventies who was referred for anemia by another clinic. Esophagogastroscopy revealed an ulcerated gastric tumor that was diagnosed as a gastrointestinal stromal tumor (GIST) by endoscopic biopsy. She was admitted to our hospital for further examination and treatment. Gastroscopy at our institution revealed two submucosal tumors in the gastric wall. Since no metastatic lesions were detected after systemic exploration, multiple GIST of the stomach was diagnosed, and a total gastrectomy was performed. Malignant melanoma was diagnosed in both lesions by a histopathological study of the resected stomach. The patient's postoperative progress was good, and thorough examination of the skin did not result in the discovery of any systemic neoplastic lesions which could be regarded as the source for the primary tumor. No anticancer treatments were used. The patient has survived, with no recurrence for over ten years postsurgery. Strong evidence is presented in this case for the diagnosis and treatment of gastric malignant melanoma.
A case of Langerhans cell sarcoma on the scalp: Whole‐exome sequencing reveals a role of ultraviolet in the pathogenesis
Authors: Katsuragawa Hiroyuki , Yamada Yosuke , Ishida Yoshihiro , Kaku Yo , Fujimoto Masakazu , Kataoka Tatsuki R. , Haga Hironori 
Published: August 2020

AbstractLangerhans cell sarcoma (LCS) is a high‐grade neoplasm with overtly malignant cytological features and a Langerhans cell phenotype. The underlying genetic features are poorly understood, and only a few alterations, such as those of the MARK pathway‐related genes, CDKN2A and TP53 have been reported. Here we present a 70‐year‐old male with LCS on the scalp and pulmonary metastasis. The multinodular tumor, 3.0 cm in diameter, consisted of diffusely proliferated pleomorphic cells with numerous mitoses (53/10 HPFs). Immunohistochemically, the tumor cells were positive for CD1a, Langerin and PD‐L1, and the Ki‐67 labeling index was 50%. These pathological features were consistent with LCS, and were also observed in the metastatic tumor. Whole‐exome sequencing revealed that both the primary and metastatic tumors harbored a large number of mutations (>20 mutations/megabase), with deletion of CDKN2A and TP53 mutation, and highlighted that the mutational signature was predominantly characteristic of ultraviolet (UV) exposure (W = 0.828). Our results suggest, for the first time, that DNA damage by UV could accumulate in Langerhans cells and play a role in the pathogenesis of LCS. The high mutational burden and PD‐L1 expression in the tumor would provide a rationale for the use of immune checkpoint inhibitors for treatment of unresectable LCS.
Artificial Neural Network to Predict the Thermal Drawdown of Enhanced Geothermal System
Authors: Pandey S. N. , Singh M. 
Published: August 2020

Abstract
This work presents the prediction of thermal drawdown of an enhanced geothermal system (EGS) using artificial neural network (ANN). A three-dimensional numerical model of EGS was developed to generate the training and testing data sets for ANN. We have performed a quantitative study of geothermal energy production for various injection operating conditions and reservoir fracture aperture. Input parameters for ANN include temperature, mass flux, pressure, and fracture transmissivity, while the production well temperature is the output parameter. The Levenberg–Marquardt back-propagation learning algorithm, the tan-sigmoid, and the linear transfer function were used for the ANN optimization. The best results were obtained with an ANN architecture composed of eight hidden layers and 20 neurons in the hidden layer, which made it possible to predict the production temperature with a satisfactory range (R2 &gt; 0.99). An appropriate accuracy of the ANN model was obtained with a percentage error less than (± 4.5). The results from the numerical simulations suggest that fracture transmissivity has less effect on thermal drawdown than the injection mass flux and temperature. From our results, we confirm that ANN modeling may predict the thermal drawdown of an EGS system with high accuracy.
Use of Machine Learning and Data Analytics to Detect Downhole Abnormalities While Drilling Horizontal Wells, With Real Case Study
Authors: Alsaihati Ahmed , Elkatatny Salaheldin , Mahmoud Ahmed Abdulhamid , Abdulraheem Abdulazeez 
Published: August 2020

AbstractThe standard torque and drag (T&D) modeling programs have been extensively used in the oil and gas industry to predict and monitor the T&D forces. In the majority of cases, there has been variability in the accuracy between the pre-calculated (based on a T&D model) and actual T&D values, because of the dependence of the model’s predictability on guessed inputs (matching parameters) which may not be correctly predicted. Therefore, to have a reliable model, program users must alter the model inputs and mainly the friction coefficient to match the actual T&D. This, however, can conceal downhole conditions such as cutting beds, tight holes, and sticking tendencies. The objective of this study is to develop an intelligent machine to predict the continuous profile of the surface drilling torque to enable the detection of operational problems ahead of time. This paper details the development and evaluation of an intelligent system that could promote safer operation and extend the response time limit to prevent undesired events. Actual field data of Well-1, starting from the time of drilling a 5-7/8-in. horizontal section until 1 day prior to the stuck pipe incident, were used to train and test three models: random forest, artificial neural network, and functional network, with an 80/20 training-to-testing data ratio, to predict the surface drilling torque. The independent variables for the model are the drilling surface parameters, namely: flow rate (Q), hook load (HL), rate of penetration (ROP), rotary speed (RS), standpipe pressure (SPP), and weight-on-bit (WOB). The prediction capability of the models was evaluated in terms of correlation of coefficient (R) and average absolute error percentage (AAPE). The model with the highest R and lowest AAPE was selected to continue with the analysis to detect downhole abnormalities. The best-developed model was used to predict the surface drilling torque on the last day leading up to the incident in Well-1, which represents the normal and healthy trend. Then, the model was coupled with a multivariate metric distance called “Mahalanobis” to be used as a classification tool to measure how close an actual observation is to the predictive normal and healthy trend. Based on a pre-determined threshold, each actual observation was labeled “NORMAL” or “ANOMAL.” Well-2 with a stuck pipe incident was used to assess the capability of the developed system in detecting downhole abnormalities. The results showed that in Well-1, where a stuck pipe incident was reported, a continuous alarm was detected by the developed system 9 h before the drilling crew observed any abnormality, while the alarm was detected 7 h prior to any observation by the crew in Well-2. The developed intelligent system could help the drilling crew to detect downhole abnormalities in real-time, react, and take corrective action to mitigate the problem promptly.
Experiment and Field Application of Inhibitior Liquid in Spontaneous Combustion Process of Coal Based on Thermogravimetric Analysis
Authors: Du Wenzhou , Niu Kuo , Wang Houwang , Zhang Yansong , Song Haizhou 
Published: August 2020

Abstract
An effective way to slow down the process of coal spontaneous combustion (CSC) is by injecting inhibitor liquid into the coal body. Research on inhibitors has achieved good effects, but many have occurred only under laboratory conditions; for applications in actual underground coal mines, there may be many limitations. In this paper, MgCl2, CaCl2, and NH4H2PO4 are selected, and they are prepared as inhibitor liquids and injected into coal samples from three coal mines to obtain inhibitor coal samples. Industrial analysis (IA) and thermogravimetric analysis (TGA) of raw and inhibitor coal samples were carried out under laboratory conditions. Finally, MgCl2 was selected as the inhibitor to carry out a field test in a coal mine working face. The results show that the volatile content, fixed carbon content, and calorific value decrease and the ash content increases after injection of the inhibitor. NH4H2PO4 has the greatest influence on coal, which is more obvious in the Nantun coal samples. MgCl2 and CaCl2 have stronger inhibitory effects in the temperature range of 0–200 °C, and the inhibitory effects decrease in the high-temperature stage. This is due to the evaporation of water and the loss of active components under high temperature. The inhibitory effect of NH4H2PO4 at high temperature is stronger than those of MgCl2 and CaCl2. The CO concentration was significantly reduced after injection of the inhibitor liquid in an underground field, which delays the oxidation process of coal for approximately 10 days and greatly reduces the risk of CSC.
Investigation of the Structural, Optical, Electrical, and Dielectrical Properties of Aloe Vera Leaf Exudate
Authors: Hnawi Salma Kaotar , Nayad Abdallah , Aitdads Hoda , Agdad Abdelali , Afqir Mohamed , Nkhaili Lahcen , El Firdoussi Larbi , Oueriagli Amane , Ait Ali Mustapha 
Published: August 2020

Abstract
Organic solar cells are considered to be the promising solar technology for the coming year because of their ease of manufacture. In the present study, the Aloe Latex as a yellow orange Solid (ALS) collected from the leaves of Aloe Vera plant (aloe barbadensis miller) was used as a natural and cheap sensitizer thin film. The ALS powder was analyzed using X-ray diffraction,UHPLC-MS, and Fourier transform infrared (FT-IR) spectroscopy to determine the chemical composition and the structural properties. While the impedance spectroscopy was performed for the dielectrical properties. The optical properties were detemined using UV–Vis absorption of the ALS thin film deposited in a glass. For the first trial, a planar heterojunction solar cell using zinc oxide (ZnO) thin film as an electron selective layer was build. The band gap was found to be 1.88 eV. The electrical properties of the investigated cell by the current–voltage (I–V) measurements showed an open-circuit voltage (Voc) of 0.74 V, an important efficiency of 0.50%, and a great fill factor (FF) of 0.70.
Safety of Radioactive Materials Transportation and Storing Assisted by Internet of Things
Authors: Zorkany M. , Morsi Hassan F. 
Published: August 2020

Abstract
Nuclear newcomers need to verify the support infrastructure development keeps steady with the power plant construction and radioactive materials transportation. European power reactor's (EPR) spent fuel (SF) had been chosen in this paper for newcomers to determine the SF levels. Radioactive materials are causing harm to the environment, people, and property. These materials may be subject to terrorism, particularly during transportations. Therefore, solutions for the safety of storing and transporting radioactive materials will be proposed in this paper. Recently, the world is suffering from a new type of terrorist—known as “Lone Wolves”—which can attack these materials. Lone wolves harmful attack detection is extremely difficult at any attack stage. Existing surveillance systems are weak to counter the lone wolves, where they respond after the happening of the incident. Therefore, this paper proposed a design for Lone Wolves counter-system (LWCS) based on deep learning and assisted by internet of things to prevent these attacks. Also, an embedded system solution will be proposed based on existing infrastructure networks. The proposed embedded system can monitor and track the radioactive materials during storing and transportation in real-time. Simulation results for the proposed system will show improved performance in the transport of radioactive materials.
Radioactivity and Elements Measurements From Lagoon of Cocody Area District of Abidjan (Côte d'Ivoire)
Authors: Agbo Alfred Djoman Djama , N'Gouan Joseph Aka , Goulizan Bi Sévérin , Brigui Jean Claude Olkalé , Kakou Pierre Claver Konin 
Published: August 2020

Abstract
The aim of this study was to assess radio activity and elements levels of Ebrié lagoon water in Abidjan, Côte d'Ivoire. Eight bottles of water from Ebrié lagoon were taken for the study. This study was achieved by measuring of the activity concentration of 238U, 40K, and 232Th in Ebrié lagoon water samples using gamma spectrometry. Elements contents were determined too by Absorption Atomic Spectrometry technique. The activity concentrations of these radionuclides show that populations in these townships-villages are permanently exposed to diseases caused by the ionizing rays. The elemental analysis showed that the potential source of the pollutants is anthropogenic, intrusion from industrial and agricultural activities, materials and lubricants used near the lagoon are important factors of the pollution in this lagoon.
Investigations on Effect of Lift and Wall Lubrication Forces on the Subcooled Flow Boiling
Authors: Vadlamudi Sai Raja Gopal , Nayak Arun K. 
Published: August 2020

Abstract
Subcooled flow boiling is widely used as a mode of heat transfer in many industries, especially in nuclear reactors. Despite its advantages, the heat transfer is hampered beyond a certain flux due to a phenomenon known as departure from nucleate boiling (DNB). It is important to determine the void fraction profiles, especially the near-wall void fractions, to evaluate the limiting heat flux conditions. The two-fluid Eulerian model, coupled with the heat flux partitioning model, is widely used to predict subcooled flow boiling characteristics. Over the years, many researchers have not considered lift and wall lubrication forces in their modeling of subcooled flow boiling. Few researchers have considered the Tomiyama model for lift force; however, their results were not encouraging. Moreover, there is no systematic study in evaluating the impact of lift and wall lubrication forces on subcooled flow boiling. In this paper, various lift and wall lubrication models are compared to understand the implications of these forces on void distribution. The advantages and limitations of the models are discussed in detail.