Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence Of Csr On Company’s Non-Financial Performance: A Review On Literature

Corporate ethical behaviours has become one of the main factors that influence an organisation’s sustainability. Ethical and responsible behaviours help companies to foster a positive reaction among society including its employees to ensure their perpetual support. Companies have to pay considerable attention to their employees to understand employees’ expectations toward them. The relation between corporate social responsibility (CSR) and company’s performance has induced much interest among researchers which usually roams around financial performance or company’s profitability. The purpose of this article is to review existing literature of the relationship between CSR and non-financial performance. The indicator of a company’s non-financial performance in this article will be based on employee commitment toward the CSR’s initiative by the company. In exploring the relationship between CSR and employee’s commitment, this paper draws upon the mediating role of organisational justice. It suggests that employees develop general justice perceptions towards companies based on the level of fairness that company exhibits.
Isolation and characterization of potassium solubilizing Aspergillus species isolated from saxum habitats and their effect on maize growth in different soil types

Abstract Potassium (K) is an important nutrient for plant growth. However, less than 2% of K in the soil exists in plant-available forms. Further, fungi inhabiting saxicolous habitats are infrequently examined for their plant growth-promoting ability. Therefore, in this study, we isolated K solubilizing fungi (KSF) from saxicolous habitats and screened them for their ability to produce plant growth hormones, organic acids, and siderophore that may facilitate plant growth. Seventy-two saxicolous fungal isolates were screened for their K solubilization in Aleksandrow medium amended with mica. Of these, eight potential KSF isolates resembling Aspergillus species based on 18S rRNA gene sequencing were selected for further screening. Three of these KSF isolates KSF-07 (Aspergillus terreus), KSF-55 (Aspergillus niger), and KSF-69 (Aspergillus violaceofuscus) produced different organic acids (ascorbic, acetic, benzoic, citric, malic, and oxalic acid), indole acetic acid (0.678–46.326 µg L−1), and siderophore (46.66–65.26 PSU) under in vitro conditions. The three Aspergillus species solubilized 56.56−59.80 mg L−1 of K from mica and 33.97–39.19 mg L−1 from potassium aluminum silicate. Inoculation of KSF and mica amendment significantly improved plant growth and K uptake by maize and also enhanced the KSF populations in post-harvest soil. Pearson’s correlation analysis revealed the existence of a significant negative correlation between soil pH and available K. Among the KSF isolates screened, A. violaceofuscus (KSF-69) presents an excellent prospect as a bio-inoculant for improving crop growth in different soil types.
The Comprehensive Analysis of Competitive Endogenous RNA Networks And Tumor-Infiltrating Immune Cells In Intestinal and Diffuse Gastric Cancer

Background: Gastric cancer (GC) is one of the leading causes of cancer death worldwide. Increasing evidences have revealed different molecular characteristics between intestinal type GC and diffuse type GC.Results: We constructed Lauren subtype-specific competitive endogenous RNA (ceRNA) networks and identified common ceRNA network by comprehensive bioinformatics methods including differential expression analyses, RNA-RNA interaction prediction, negatively correlated RNA pairs and weighted genes co-expression network analysis. Besides, we detected the fraction of 22 immune cell types in GC by CIBERSORTx and investigated the correlation of immune cells and markers of ceRNA network. Ultimately, diagnostic performance of lncRNAs and mRNAs in ceRNA network were estimated by support vector machine (SVM). SNHG14 was identified as ceRNA of hsa-miR-429/ ZFPM2, hsa-miR-429/ZEB1 and hsa-miR-200b-3p/ZEB1 axes in all GC. Mast cells and Macrophages significantly differed not only between the tumor and normal tissue, but also between the two subtypes. Mast cells and Macrophages are significantly associated with multiple components in ceRNA network. Our results demonstrated lncRNAs and mRNAs of ceRNA network in the whole group (AUC=0.9152), the intestinal group (AUC=0.9670) and the diffuse group (AUC=0.9737) showed good performance in tumor diagnosis.Conclusion: Based on ceRNA networks and patterns of immune infiltration, our study provided a valid bioinformatics basis in order to explore the molecular mechanism and estimated diagnosis performance of RNAs in ceRNA network.
Nanoscale zero valent nickel: synthesis and spectral studies of interactions with different surfactants and solvents

ABSTRACT Highly selective nickel nanocatalysts were synthesized by modified polyol reduction methods with different surfactants and solvents. These nanoparticles were characterized by UV-Vis spectroscopy. The effect of anionic-sodium dodecyl sulfate(SDS), cationic-N-cetyl- N,N,N trimethyl ammonium bromide (CTAB) and neutral surfactant- polyvinyl pyrrolidone (PVP) was studied by X-ray diffractometer (XRD) technique. Morphology, particles size, and oxidation state of nickel nanoparticles (below 10 nm) were confirmed by Field Emission Scanning Electron Microscopy, High Resolution Transmission Electron Microscopy and X- ray Photoelectron Spectroscopic techniques, respectively. The study reveals that the particles using ethylene glycol as reductant and PVP as capping agent are smallest (2.4 nm), amorphous, homogeneous and less dispersed. Further, particles with smaller size are used as catalysts in the degradation of acid orange10 dye by hexacyanoferrate(III) ions in aqueous alkaline medium. The particles size show good catalytic activity as compared to nickel precursor salts due to their small size.
Early Performance Prediction in Bioinformatics Systems Using Palladio Component Modeling

Bioinformatics is a branch of science that uses computers, algorithms, and databases to solve biological problems. To achieve more accurate results, researchers need to use large and complex datasets. Sequence alignment is a well-known field of bioinformatics that allows the comparison of different genomic sequences. The comparative genomics field allows the comparison of different genomic sequences, leading to benefits in areas such as evolutionary biology, agriculture, and human health (e.g., mutation testing connects unknown genes to diseases). However, software engineering best practices, such as software performance engineering, are not taken into consideration in most bioinformatics tools and frameworks, which may lead to serious performance problems. Having an estimate of the software performance in the early phases of the Software Development Life Cycle (SDLC) is beneficial in making better decisions relating to the software design. Software performance engineering provides a reliable and observable method to build systems that can achieve their required performance goals. In this paper, we introduce the use of the Palladio Component Modeling (PCM) methodology to predict the performance of a sequence alignment system. Software performance engineering was not considered during the original system development. As a result of the performance analysis, an alternative design is proposed. Comparing the performance of the proposed design against the one already developed, a better response time is obtained. The response time of the usage scenario is reduced from 16 to 8.6 s. The study results show that using performance models at early stages in bioinformatics systems can help to achieve better software system performance.
Anxiety Sensitivity in Online Gamers

Objective: The aim of this study was to examine the levels of game addiction and anxiety sensitivity in young adults who play online games. Method: The study was conducted cross-sectionally on the sociodemographic data form, the Anxiety Sensitivity Index and the Game Addiction Scale Short Form, which were delivered to volunteers who reported that they played online games through an online research platform. Game addiction was evaluated according to the monothetic and polythetic formats of the scale. Results: 7.8% of the 438 participants are game addicts according to the Game Addiction Scale Short Form monothetic format, and 40.9% are game addicts according to the polythetic format. Anxiety sensitivity levels in game addicts are higher than in non-game addicts. Anxiety sensitivity is higher in women. According to the monothetic format, game addiction does not differ in terms of age, gender, marital status and educational status, and according to the polythetic format, game addiction is higher in undergraduate and widow/divorced individuals. Conclusion: As a trait-like factor, anxiety sensitivity may lay the groundwork for game addiction. The relationship between anxiety sensitivity and problematic game playing needs to be examined in more detail to screen depression and anxiety disorders.
Dual event‐triggered control for linear systems with consecutive packet losses

This article investigates an event‐triggered control for linear continuous‐time systems by tolerating consecutive packet losses. Two event‐triggers are, respectively, employed in the sensor‐to‐controller and controller‐to‐actuator channels in order to reduce the data transmission pressures. A simple discrete‐time state feedback control law is proposed and the control command is only updated when the actuator successfully receives the command information. By the proposed method, the event‐triggers are proved to be maintained or violated consecutively. The appropriate data sampling period and the maximal allowable packet loss numbers can be quantitatively determined. In addition, it is also proved that the event‐trigger in controller‐to‐actuator may not be violated immediately with the event‐trigger in sensor‐to‐actuator. The uniform ultimate bound of the closed‐loop system can be achieved. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed method.
Understanding the nature of the economic game ultimatum through the prism of personality traits

Ultimatum game belongs to the classical economic experiments, frequently used to study altruism and pro-social behavior. The objective of the research is to understand relations between the personality and the ultimatum game from the responder´s perspective. Participants (N=224, females 62%) filled the web-based questionnaires on Hexaco-PI and hypothetic minimal acceptable sum as respondents in the ultimatum game. Data was analyzed by means of the structural equation model and the binominal regression model, using the narrow traits as input variables. Interestingly, the most frequented value of minimal acceptable amount was a fair offer (50 % of the total sum). A fair offer was expected by 50 % of females and 42 % of males; what erodes the traditional thesis of economic rationality, according to which any offer higher than 0 should be accepted. Hence, people have natural tendency to expect and require a fair deal. Results from the logit model show that the minimal acceptable sum in the ultimatum game is predicted, firstly, by liveliness and sociability (wider trait extraversion) and secondly, by sentimentality and dependence (wider trait emotionality). In other words, tendency to expect and require fair offer manifests at optimistic and joyful people able to create strong emotional connections. Logit model´s results were reconfirmed by the structural equation models, where wider traits extraversion and emotionality were found statistically significant. Findings have interesting implications as regards the understanding of underlying psychological processes in the frame of altruistic decision-making.
Transição entre a Educação Pré-Escolar e o primeiro ano: desafios do contexto educativo português

With this research, we seek to understand the challenges on transitions between Early Childhood Education (ECE) and Primary School and how they are shown in teachers’ pedagogical practices as well as within families. We analyzed: planning records and evaluation reports and how these instruments relate to the demands of the new Curriculum Reformulations for ECE 2016 (OCEPE) and Decree Law 55/2018. We developed a qualitative study based on an interpretative phenomenological paradigm. The research allowed us to find out more about practices on the interaction between Primary Schools and ECE institutions from: i) interviews and observation data on effective practices; ii) spontaneous children’s activities; iii) the importance of affectivity; iv) reflection upon children or student work; v) articulation between home and school as a sense of continuity; vi) the teachers/educator’s professional eye about planning; rules and adaptability skills.
Buenas prácticas para guiar la atención del espectador en el reportaje inmersivo con vídeo en 360º

https://doi.org/10.31921/doxacom.n32a13 María José Benítez de Gracia. Licenciada en Periodismo (Universidad Europea de Madrid), Máster en Investigación Aplicada a Medios de Comunicación (Universidad Carlos III de Madrid, 2016) y Doctora en Investigación en Medios de Comunicación (Universidad Carlos III de Madrid, 2019). Premio Extraordinario de Doctorado, su tesis está centrada en el reportaje inmersivo con vídeo en 360o. Forma parte del Grupo de Investigación “Innovation on Digital Media”, dedicado a la innovación mediática en entornos digitales, dentro del departamento de Comunicación de la Universidad Carlos III de Madrid. Su investigación está ligada a las narrativas inmersivas en el contexto de la innovación mediática. Actualmente, es profesora de Narrativa audiovisual en la Universidad Isabel I. Universidad Isabel I, Burgos, España mariajose.benitez@ui1.es ORCID: 0000-0002-1101-004X
RADIATION DOSE OPTIMIZATION OF BREAST CANCER WITH PROTON THERAPY METHOD USING PARTICLE AND HEAVY ION TRANSPORT CODE SYSTEM

Received: 30 March 2021 Received in revised form: 28 April 2021 Accepted: 03 Mei 2021 Radiotherapy is one of the cancer treatments conducted by giving a high dose of radiation to the tumor target while minimizing the dose exposed to the healthy organs. One of the available methods is proton therapy. It is usually used in several breast cancer cases while minimizing the damage in the surrounding tissues due to having good precision. In this study, proton therapy in breast cancer will be simulated. This study aims to identify the optimal dose in breast cancer therapy using proton therapy and to identify the dose exposed in the surrounding organs. This study uses simulation based PHITS program to model the geometry and the components of breast cancer and the surrounding organs. The source of radiation is proton with the intensity of 2.62 × 10 10 proton/s. The variation in beam modelling towards the dose profile of the tumor used is uniform and pencil beam. The proton energy used is 70 MeV up to 120 MeV. The result of this study shows that the dose from using pencil beam scanning technique is 50.3997 Gy (W) with the total amount of fraction of 25. The dose is below the threshold. Doses in the healthy organs are as follow. The skin received 4.0553 Gy per fraction, the left breast received 0.0011 Gy per fraction, the right breast received 2.6469 Gy per fractions, the right lung received 0.0125 Gy per fraction, the left lung received 0.029 Gy per fraction, the rib received 0.0179 Gy per fraction, and the heart received 0.0077 Gy per fraction.
The Effect of Perception of Early Parental Attachment Experiences on Adult Romantic Attachment Style

The capacity to form strong intimate relationship with others is considered as an essential developmental task and a principal feature of effective personality development. Consequently, there are different theories that attempted to explain how social relationship is formed. However, review of related literature on such relationship shows that attachment theory has become prominent theory to explain it. The purpose of this study is to examine the influence of early parental (care giver) attachment experience on adult romantic attachment using attachment theory as a framework. Cross-sectional descriptive survey design was used. A total of 306 (159 female and 147 male) participants were included from community based sample. Three Kebeles in Yeka sub-city of Addis Ababa were selected randomly. Data were collected on adult attachment and perception of early parental attachment experience. The constructs were measured by Experience in Close Relationship Scale-Revised and Inventory of Parent Peer Attachment. Pearson correlation and linear multiple regressions were run to investigate the association and prediction among variables under study respectively. The result confirmed that perception of early attachment experience did not predict adult romantic attachment but insignificantly related. Consequently, the relationship between perception of early parental attachment experience and adult romantic attachment style should be studied by fellow researchers to make the study more replicable in the future.
Optimization of mobile device energy consumption in a fog-based mobile computing offloading mechanism

The offloading of computing tasks to the fog computing system is a promising approach to reduce the response time of resource-greedy real-time mobile applications. Besides the decreasing of the response time, the offloading mechanisms may reduce the energy consumption of mobile devices. In the paper, we focused on the analysis of the energy consumption of mobile devices that use fog computing infrastructure to increase the overall system performance and to improve the battery life. We consider a three-layer computing architecture, which consists of the mobile device itself, a fog node, and a remote cloud. The tasks are processed locally or offloaded according to the threshold-based offloading criterion. We have formulated an optimization problem that minimizes the energy consumption under the constraints on the average response time and the probability that the response time is lower than a certain threshold. We also provide the numerical solution to the optimization problem and discuss the numerical results.
Derivation of visual timing-tuned neural responses from early visual stimulus representations

Quantifying the timing (duration and frequency) of brief visual events is vital to human perception, multisensory integration and action planning. Tuned neural responses to visual event timing have been found in areas of the association cortices implicated in these processes. Here we ask whether and where the human brain derives these timing-tuned responses from the responses of early visual cortex, which monotonically increase with event duration and frequency. Using 7T fMRI and neural model-based analyses, we find a gradual transition from monotonically increasing to timing-tuned neural responses beginning in area MT/V5. Therefore, successive stages of visual processing gradually derive timing-tuned response components from the inherent modulation of sensory responses by event timing. This additional timing-tuned response component was independent of retinotopic location. We propose that this hierarchical derivation of timing-tuned responses from sensory processing areas quantifies sensory event timing while abstracting temporal representations from the spatial properties of their inputs.
Magnetic phase transitions of phosphorene-like nano-structure: Monte Carlo study

ABSTRACT The aim of this paper is to investigate the magnetic properties of phosphorene-like nano-structure applying the Metropolis Monte Carlo simulations. Based on the spin mixed system σ = 7/2 and S = 2, we have analysed the variation of the magnetic phase states in the absence of temperature and the magnetizations of the compound with temperature for the mixed spins phosphorene. We also studied the effect of varying other parameters such as the exchange coupling interactions, the temperature, the external magnetic field and the crystal fields on the total and partial magnetizations. Besides, we have discussed the effect of each parameter on the critical temperature of the system. Finally, we have presented the magnetic hysteresis cycles, for different values of crystal field, exchange coupling interactions and temperature.
The Role of Irisin, Copper and Zinc Levels on Insulin Resistance in Polycystic Ovary Syndrome

Background: Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder in women of reproductive age. Irisin is defined as a myocin released from skeletal muscle that protects individuals from metabolic diseases when exercised regularly. Zinc is thought to play an active role in the pathophysiology of PCOS in relation to insulin resistance. Copper has been stated to contribute to oxidative stress and insulin resistance in PCOS patients. The aim of this study was to evaluate the relationship between serum irisin, copper and zinc levels and insulin resistance in PCOS patients and control cases. Methods: Our study consists of a patient group of 45 individuals diagnosed with PCOS and a healthy control group of 45 individuals. 2003 Rotterdam diagnostic criteria were used for the diagnosis of PCOS. Serum copper, zinc and irisin levels were measured and evaluated with regard to Body Mass Index and insulin resistance. Results: Serum zinc and copper levels were found to be higher in PCOS patients compared to controls (p<0.05), however no statistically significant differences were found between the groups with regard to HOMA-IR and serum irisin levels. Conclusions: It was evaluated that the data obtained from the patient group in this study may have been effected due to patients’ use of some medications like metformin, multivitamin supplements and oral contraceptives.
Self association and transcription activation determinants in a bacterial enhancer binding protein

Bacterial transcription initiation relies on the binding of a dissociable sigma factor to the catalytic RNA polymerase (RNAP) ‘core’ enzyme to enable promoter specific DNA recognition. While the initial σ RNAP-promoter DNA bound complex (termed the closed complex) can spontaneously isomerise to form open promoter complexes, RNAP containing the major variant, the σ factor requires activation by bacterial enhancer binding proteins (bEBPs) which reorganize the initial closed promoter complex to an open complex in an ATP consuming reaction. These bEBPs belong to the AAA+ (ATPases associated with various cellular activities) superfamily of proteins that form oligomeric rings (often hexamers) on upstream activation sequences (UAS) ~150bp upstream of the promoter. A DNA looping event, often mediated by integration host factor (IHF), brings the bEBP in close proximity to the σ-RNAP closed complex (RPc). The interaction between σ (within the context of the RPc) and the bEBP is strictly dependent on a sequence insertion (that is common to all bEBPs) termed the L1 loop, which is thought to be the major structural determinant in energy transfer between the bEBP and σ. The σ subunit is split up into three distinct regions (termed Regions I, II and III), where the L1 loop interacts with the mobile Region I and Region III forms the DNA contacts necessary for engaging with -12 and -24 consensus sequences on promoter DNA. A basic understanding of the global interactions that mediate σ-dependent transcription has already been obtained, yet many specific mechanistic details remain unknown. In this study we elucidate three features of σ transcription activation: i) The interactions required within the bEBP complex for functional oligomerisation, ii) the mechanism that transcription activation determinants act and iii) the role of Region III in binding to the -12 element.