Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of social media into HRM practices: a bibliometric overview

Purpose This paper aims to critically discuss the mounting role of social media (SM) or social networking sites (SNSs) on various human resource management (HRM) practices. Design/methodology/approach The paper is based on 87 published papers collected from the Web of Science Database particularly from 2010 to 2020 (up to June) using VOSviewer software. After reviewing those paper contents, the author briefly highlighted the findings. Findings According to most of the previous studies, the utilization of SM information for various HRM practices is rising although such utilization is mostly limited to talent search and recruitment & selection at present. Further, it was found that Facebook and LinkedIn are the two most accepted sites among the hiring professionals where the first one mostly provides behavioral information and the second one provides job-related information. Finally, it was revealed that organizations can develop a strong corporate branding through the presence in SM. Research limitations/implications This review paper is expected to motivate further research initiatives regarding the role of social media into different HRM practices. Practical implications The author expects that based on the findings, the organizational policymakers can get some practical guidelines regarding the efficient utilization of such a platform. Originality/value Social media is a powerful platform for flourishing business entities, promoting products, branding, talent search and so many more purposes. An organization can well promote its existence through this popular platform. In particular, the media can be a well-established platform for searching competent employees and creating employer branding. Therefore, more and more research studies should be carried out focusing on this recent issue. This review paper can be a base for the upcoming researchers as it has accumulated the previous literature and their findings.
E-grocery retailing: from value proposition to logistics strategy

ABSTRACT This paper develops two frameworks that identify and organise the elements that make up the value proposition and the logistics strategy of grocery pure players. Those frameworks are also applied to see how the elements of both frameworks are related. To identify the key elements and design characteristics, an extensive literature review was conducted. In addition, an exploratory study with five grocery pure players helped connect both frameworks. The value proposition can be classified into ten elements (range, virtual store, order features, area of delivery, sales mode, velocity, time slots, substitutions, returns, and extra services) and the logistics strategy in twelve (warehousing, inventory, procurement, picking, packing, stock out, transport type, transport ownership, consolidation, dispatch time slots, routing, and returned inventory). The case studies underline important differences among the relationships of these elements for intermediaries and independent pure players.
Hybrid optimization algorithm for security aware cluster head selection process to aid hierarchical routing in wireless sensor network

In wireless sensor networks, clustering is said to be the most noteworthy technique for increasing the lifetime of network that directly leads a better routing mechanism. This approach involves grouping of sensor nodes to clusters and choosing the appropriate cluster heads for each cluster. In fact, cluster heads gathers data from corresponding nodes in cluster and transmits those aggregated data to base station. However, the major issue in this is the selection of the appropriate cluster head. Till now, many research works have been carried out for solving this issue by considering different constraints. This paper introduces a new cluster-based routing model by selecting the optimal cluster head. Moreover, a novel algorithm known as grey wolf updated whale optimization algorithm is introduced. Here, a new multi-objective function is deﬁned with respect to different constraints like distance, delay, security and energy, respectively. Finally, the performance of security aware clustering with grey wolf updated whale optimization algorithm is evaluated and validated over other conventional works with respect to alive node analysis, throughput and normalized network energy, respectively.
Optimal State Control of Fractional Order Differential Systems: The Infinite State Approach

Optimal control of fractional order systems is a long established domain of fractional calculus. Nevertheless, it relies on equations expressed in terms of pseudo-state variables which raise fundamental questions. So in order remedy these problems, the authors propose in this paper a new and original approach to fractional optimal control based on a frequency distributed representation of fractional differential equations called the infinite state approach, associated with an original formulation of fractional energy, which is intended to really control the internal system state. In the first step, the fractional calculus of variations is revisited to express appropriate Euler Lagrange equations. Then, the quadratic optimal control of fractional linear systems is formulated. Thanks to a frequency discretization technique, the previous theoretical equations are converted into an equivalent large dimension integer order system which permits the implementation of a feasible optimal solution. A numerical example illustrates the validity of this new approach.
Size, Value, Profitability, and Investment Effects in International Stock Returns: Are They Really There?

Using data on 65,000 stocks from 23 countries, the authors reevaluate the performance of the Fama–French (2015) factors in global markets. The results provide convincing evidence that the value, profitability, and investment factors are far less reliable than commonly thought. Their performance depends strongly on the geographical region and period examined. Furthermore, most factor returns are driven by the smallest firms. Virtually no value or investment effects are present among the big firms representing most of the total market capitalization worldwide. Given that the smallest firms are typically not investable by major financial institutions, these findings cast doubt on the five-factor model’s applicability in international markets. TOPICS: Security analysis and valuation, factor-based models Key Findings ▪ Using data on 65,000 stocks from 23 countries, the authors reevaluate the performance of the Fama–French (2015) factors in global markets. ▪ The value, profitability, and investment factors are far less reliable than commonly thought—their performance depends strongly on the geographical region and period examined. ▪ The smallest firms drive most factor returns; virtually no value or investment effects are present among the big firms representing most of the total market capitalization worldwide.
Using Conceptual Mapping for Learning to Affect Students’ Motivation and Academic Achievement

Conceptual mapping tools have been used more and more for various educational purposes in recent years by academicians and educators. In addition, developments of technology that include conceptual mapping have a significant influence on education sustainability. Nevertheless, students’ understanding and motivation in using conceptual mapping in the context of education sustainability has rarely been assessed. Thus, this study could be useful for developing and testing theories related to using conceptual mapping, as well as for practitioners who use conceptual mapping in education sustainability. Besides being used as a method of assessment, these mapping tools are used to improve the students’ critical and analytical thinking skills and to facilitate the demonstration of relationships among concepts. Instead of using written or verbal descriptions, these tools utilise various diagrammatic relationships. The use of pictures, diagrams and visual illustrations are believed to facilitate the understanding of complex topics more readily. Therefore, this research aims to develop a new model that employs conceptual mapping for improving the motivation and achievements of students. A survey was distributed to 247 participants who are using conceptual mapping tools for learning, and the data were quantitatively analysed using structural equation modelling (SEM-Amos). The results of this study show that conceptual mapping can be used to increase students’ understanding and motivation to improve their academic achievements.
Deep learning based pectoral muscle segmentation on Mammographic Image Analysis Society (MIAS) mammograms

Purpose: The purpose of this study was to propose a deep learning-based method for automated detection of the pectoral muscle, in order to reduce misdetection in a computer-aided diagnosis (CAD) system for diagnosing breast cancer in mammography. This study also aimed to assess the performance of the deep learning method for pectoral muscle detection by comparing it to an image processing-based method using the random sample consensus (RANSAC) algorithm. Methods: Using the 322 images in the Mammographic Image Analysis Society (MIAS) database, the pectoral muscle detection model was trained with the U-Net architecture. Of the total data, 80% was allocated as training data and 20% was allocated as test data, and the performance of the deep learning model was tested by 5-fold cross validation. Results: The image processing-based method for pectoral muscle detection using RANSAC showed 92% detection accuracy. Using the 5-fold cross validation, the deep learning-based method showed a mean sensitivity of 95.55%, mean specificity of 99.88%, mean accuracy of 99.67%, and mean dice similarity coefficient of 95.88%. Conclusion: The proposed deep learning-based method of pectoral muscle detection performed better than an existing image processing-based method. In the future, by collecting data from various medical institutions and devices to further train the model and improve its reliability, we expect that this model could greatly reduce misdetection rates by CAD systems for breast cancer diagnosis.
Microporous Organic Polyimides for CO2 and H2O Capture and Separation from CH4 and N2 Mixtures: Interplay between Porosity and Chemical Function

Porous polyimides have been considered to be a promising material class for gas capture and sequestration, leading to the synthesis of a substantial number of individual networks with noteworthy sorption properties. In spite of these efforts, the vision of a chemical control of adsorption and desorption of small molecules, in particular, for the competing uptake of technical relevant gas mixtures, is still hardly investigated. Here, we present a systematic study of five new polyimide networks based on a set of linkers with chemical functionalities covering the full range from hydrophobic to hydrophilic interactions. The corresponding microporous organic polyimides (MOPI-I to -V) were synthesized successfully based on a condensation reaction between amino and anhydride linker molecules in m-cresol at high temperatures, resulting in cross-linking degrees beyond 95% in all cases. Argon and carbon dioxide isotherms reveal surface areas up to 940 m2/g with ultramicroporosity, about 50% microporosity and high t.
Family socioeconomic status, subjective social status, and achievement motivation among Chinese college freshmen: A latent growth modeling approach

This study’s objective was to examine direct and indirect relationships among family socioeconomic status, subjective social status, and achievement motivation within the first 3 months after college freshmen enrollment in China. A longitudinal dataset was collected over a 3-month period at four measurement points with 4-week intervals. A cluster sample of 1,983 college freshmen from the eastern, central, and western economic regions of China was surveyed. Latent growth modeling was conducted. The results indicated that achievement motivation decreased over time and was positively related to a decline in subjective social status. Mediation analyses demonstrated that, after controlling for sex and economic region, family socioeconomic status predicted the initial level of achievement motivation directly and indirectly through the initial level of subjective social status, and notably, the directions of these effects were opposite. Further, family socioeconomic status also significantly predicted the rate of change in achievement motivation indirectly through the initial level of subjective social status. These results highlight the longitudinal relationship between family socioeconomic status and achievement motivation via different pathways and have implications for improving college freshmen’s achievement motivation.
Stress-related changes in the gut microbiome after trauma

Background The gut microbiome protects the host from infection by promoting epithelial integrity and providing basal immunologic stimulation. Disruption of this delicate ecosystem is linked to morbidity and mortality among critically ill patients, but the impact of traumatic injury on the gut microbiome is poorly understood. This study sought to identify alterations in gut microbiota following trauma and persistent stress in rodents without confounding antibiotics. Methods Male Sprague-Dawley rats aged 9 weeks to 11 weeks were randomized to naive, lung contusion with hemorrhagic shock (LCHS), and LCHS plus either 7 (LCHS/CS 7/7) or 14 days (LCHS/CS 14) of restraint cylinder stress for 2 hours daily. Stool was collected on Days 0, 3, 7, and 14 for bacterial whole genome DNA isolation. Alpha diversity, or the number and relative abundance of unique bacterial species within each cohort, was assessed using Chao1 indices. Beta diversity, or the measure of differences in biodiversity across cohorts, was assessed by principle coordinate analysis. False discovery rate correction was applied to all statistical analyses and corrected for cohousing effects. Results Rodent groups subject to restraint stress demonstrated a progressive increase in alpha diversity over time. These microbiota changes resolved after cessation of stress (LCHS/CS 7/7) but continued to increase among rats subjected to ongoing stress (LCHS/CS 14). The LCHS/CS 7/7 also demonstrated reductions in class Actinobacteria and increased abundance of the genus Bacteroides by Day 7, which resolved by Day 14. Increased abundance of Bacteroides was also noted in the LCHS/CS 14 cohort, suggesting the role of chronic stress in its destabilization. Conclusion This study points to persistent stress as a potential source of the destabilization of microbial diversity seen after trauma. This lack of microbiota stability could be associated with worse long-term outcomes in critically ill trauma patients. Further studies are warranted to elucidate mechanistic pathways and potential therapeutic modalities.
NPRACH-Aware Link Adaptation and Uplink Resource Allocation in NB-IoT Cellular Networks

In narrowband Internet of Things (NB-IoT), a link adaptation technique can be performed, considering multiple resource unit types, repetition numbers, and modulation-coding schemes, to enhance transmission reliability. Then, a base station should allocate downlink and uplink resources for each device using the link adaptation decision to transmit data in NB-IoT frame structures. However, because narrowband physical random access channels (NPRACHs) will occupy the partial uplink radio resource, the uplink transmission of a device using the assigned uplink radio resource without considering NPRACHs will cause severe interference. To solve the above issue, this article investigates the joint link adaptation and uplink resource allocation problem with the consideration of NPRACHs. The objective is to minimize the consumption of radio resources while the uplink data requirement of each device can be satisfied. We prove our target problem is $\mathcal {NP}$-hard and cannot be approximated with a ratio better than $3/2$. Then, we propose a dynamic-programming algorithm without considering NPRACHs for the link adaptation problem and finally propose an uplink resource allocation algorithm considering NPRACHs based on the dynamic-programming algorithm. We prove that the proposed dynamic-programming algorithm with pseudo-polynomial time can find an optimal solution for the link adaptation problem. Compared with two previous algorithms, the simulation results show the efficacy of the proposed algorithm.
Selective Catalytic Oxidation of Unprotected Carbohydrates

The development of new strategies for the direct catalytic functionalization of unprotected carbohydrates would be an enabling advance for glycoscience. Herein we report that the catalytic oxidation of unprotected carbohydrates can be carried out selectively with [(neocuproine)Pd(OAc)]2(OTf)2 (1) to generate the 3-ketoses. Catalytic aerobic oxidation can be carried out with Pd loadings as low as 1% in the presence of phenolic additives. Catalytic oxidation of a variety of unprotected pyranosides in acetonitrile or acetonitrile/water with Pd catalyst 1 with either oxygen or benzoquinone selectively generates the 3-ketoses. Minor amounts of the 4-ketoses are formed competitively, particularly in the case of pyranosides bearing axial substituents at C4 of the pyranoside. Catalytic oxidations can also be carried out in trifluorethanol, but for pyranosides bearing axial substituents at C2 or C4, selective oxidation to the 3-ketose is accompanied by epimerization to afford the equatorial 3-ketoses. Catalytic ox.
Representation as repression: A First Peoples context

Visual images of a marginalised minority group from southern Africa are analysed against a series of colonialist representations to demonstrate tangible evidence of the role of representation in both disenfranchisement and an increasing autonomy in the case of the San, who are The First Peoples of the Kalahari, commonly known outside Africa as ‘Bushmen’ and in the dominant language of Botswana as Basarwa. This particular group is represented by government and its corporate affiliates as primordial for tourist consumption, yet systemically denied their language, ethnicity and ancestral land. Analysis is supported by critical tourism literature, showing the attitudes, power dynamics and practices evident in the produced imagery. An overview of the theoretical enframing and methodology is followed by analysis of a range of visual representations of the San. Analysis herein is based on a blend of application of post-colonial theory and post-tourism critique, along with some concepts from semiotics. Most of these visual and linguistic materials have been produced by government and industry for tourist consumption, while others include my own photography and ostensibly impartial museum exhibits.
New record of the dwarf dory Zenion hololepis (Goode & Bean, 1896) (Zeiformes: Zeniontidae) from Indian waters

This paper reports a new record of Zenion hololepis (Goode & Bean, 1896) from Indian waters. The species was collected during an exploratory deep-sea fishery survey onboard FORV Sagar Sampada off the Andaman Islands at a depth of 314 m using a High-Speed Demersal Trawl-Crustacean Version (HSDT-CV) on 25 November 2017.
The integration of content and language in CLIL: a challenge for content-driven and language-driven teachers

ABSTRACT Although the core element in CLIL and immersion programmes is the integration of content and language, it is challenging to achieve a balance between the two to meet the dual-objective of CLIL. Research on the beliefs teachers have about CLIL and the way they understand the role of content and language in their classes is crucial to achieve that balance. In the Basque Autonomous Community (BAC), a multilingual region in Spain, schools are implementing CLIL programmes in order to improve students’ English proficiency and foster multilingualism. This case study aims at exploring how teachers in this particular setting conceptualise the integration of content and language in CLIL and their understanding is reflected through pedagogical practices. For that purpose, the thoughts and practices of two CLIL teachers with different teaching backgrounds are examined here. The findings show that teachers understand and implement CLIL in different ways and that there are substantial differences between the content-oriented teacher and the language-oriented teacher. This study shows that it is difficult to achieve a balance of content and language in CLIL classrooms because some classes tend to be content-oriented without enough attention given to language, while others are language-oriented without enough attention paid to content.
Individual traits influence survival of a reintroduced marsupial only at low predator densities

Predation is a key factor contributing to the failure of reintroductions of vertebrates but there is variation in predation risk between individuals. Understanding the traits that render some animals less susceptible to predation, and selecting for these traits, may help improve reintroduction success. Here, we test whether prior exposure to predators or specific morphological and/or behavioural attributes explained variation in post‐reintroduction survival in a moderate and low predator density environment. We exposed a population of the threatened burrowing bettong (Bettongia lesueur) to controlled densities of feral cats (Felis catus) for ≥3 years. We then conducted two translocations of cat‐exposed and control populations that had no exposure to predators to a new site where cats were present at moderate, then low density. Variation in survival of burrowing bettongs was not explained by prior predator exposure to predators or measured individual traits at moderate cat density. At lower cat densities, males died sooner and burrowing bettongs with larger hind feet survived longer. Although prior cat‐exposure did not confer a survival advantage at low cat densities, the cat‐exposed burrowing bettong population had larger hind feet (n = 44) compared to the control population (n = 45) suggesting that trait divergence between cat‐exposed and non‐cat‐exposed burrowing bettongs may not yet be sufficient for improved survival. Alternatively, prior predator exposure may not confer a survival advantage because they are “outgunned” by evolutionarily novel cats. Predation is a major problem thwarting successful reintroductions world‐wide. Exposing populations to predators over longer time periods and periodically testing survival will be required to determine whether pre‐release predator exposure prepares animals for life with novel predators. Our study highlights the importance of reducing predator activity at release sites prior to reintroduction to enable any benefits from intraspecific variation in survival traits to be realised.
Ownership Structure, Debt Policy, and Financial Constraints

This study aims to determine how the effect of ownership structure on debt policy with financial constraints as a moderating variable in non-financial companies listed on the Indonesia Stock Exchange in 2015-2019. The partial results of foreign, managerial, institutional, and family ownership do not affect the debt to equity ratio (DER). Financial constraints can moderate institutional ownership against the DERbut cannot moderate foreign, managerial and family ownership to theDER. The partial results of foreign, managerial, institutional, and family ownership do not affect the debt to asset ratio (DAR). Financial constraints can moderate managerial and institutional ownership of theDAR but cannot moderate foreign and family ownership of theDAR. Meanwhile, foreign ownership, managerial, institutional, family, and financial constraints simultaneously influence debt policy.