Miracle-dz/UniFAR-FTUs huggingface dataset:
Heavy atom oriented orbital angular momentum manipulation in metal-free organic phosphors

Metal-free purely organic phosphors (POPs) are emerging materials for display technologies, solid-state lighting, and chemical sensors. However, due to limitations in contemporary design strategies, the intrinsic spin–orbit coupling (SOC) efficiency of POPs remains low and their emission lifetime is pinned in the millisecond regime. Here, we present a design concept for POPs where the two main factors that control SOC—the heavy atom effect and orbital angular momentum—are tightly coupled to maximize SOC. This strategy is bolstered by novel natural-transition-orbital-based computational methods to visualize and quantify angular momentum descriptors for molecular design. To demonstrate the effectiveness of this strategy, prototype POPs were created having efficient room-temperature phosphorescence with lifetimes pushed below the millisecond regime, which were enabled by boosted SOC efficiencies beyond 102 cm−1 and achieved record-high efficiencies in POPs. Electronic structure analysis shows how discrete tuning of heavy atom effects and orbital angular momentum is possible within the proposed design strategy, leading to a strong degree of control over the resulting POP properties.
The Relationship between HRM Strategies and Sustainable Competitive Advantage: Testing the Mediating Role of Strategic Agility

This study aims to investigate the impact of strategic agility on the relationship between Human Resources Management (HRM) strategies and Sustainable Competitive Advantage (SCA). A total of 227 large and medium-sized manufacturing companies were surveyed and studied. Using Structural Equation Modelling (SEM), this study found a positive and direct impact of HRM strategies on SCA. The study revealed a mediating effect of strategic agility on the relationship between HRM strategies and SCA. This study provides practical guidance for Yemeni large and medium-sized manufacturing companies to maintain SCA by focusing more on strategic agility in a turbulent business environment.
Generating high‐fidelity synthetic battery parameter data: Solving sparse dataset challenges

Global burgeoning pollution levels have led to massive efforts being made to electrify all modes of transportation in the coming decade. Most of the Electric Vehicles (EVs) in the automotive domain are powered by Lithium‐ion batteries (LIBs). Steady increase in number of EVs has led to generation of enormous amounts of data. Most of this data is related to the usage of LIBs and its parameters such as voltage, current, and temperature values. Recent data‐driven techniques possess the ability to extract meaningful insights from this data such as predicting the range of an Electric Vehicle or estimating State‐of‐Health of the batteries. Improvements in these models have been severely restricted due to limited access to proprietary experimental data and privacy concerns. This paper aims to introduce a Generative Adversarial Network based approach to produce high‐fidelity synthetic data to overcome the limitation of limited data. The synthetic data produced can be used for training neural networks to improve the accuracy of battery parameter predictions. The objectives of this research work are threefold; first we try to produce high‐fidelity synthetic time series data, secondly, heterogeneity in generated data is maintained, and thirdly, we test whether generated synthetic data enables improvements in accurate State‐of‐Charge estimation.
Performance Evaluation of 3D Descriptors Paired with Learned Keypoint Detectors

Matching surfaces is a challenging 3D Computer Vision problem typically addressed by local features. Although a plethora of 3D feature detectors and descriptors have been proposed in literature, it is quite difficult to identify the most effective detector-descriptor pair in a certain application. Yet, it has been shown in recent works that machine learning algorithms can be used to learn an effective 3D detector for any given 3D descriptor. In this paper, we present a performance evaluation of the detector-descriptor pairs obtained by learning a 3D detector for the most popular 3D descriptors. Purposely, we address experimental settings dealing with object recognition and surface registration. Our results show how pairing a learned detector to a learned descriptors like CGF leads to effective local features when pursuing object recognition (e.g., 0.45 recall at 0.8 precision on the UWA dataset), while there is not a clear performance gap between CGF and effective hand-crafted features like SHOT for surface registration (0.18 average precision for the former versus 0.16 for the latter).
Maize Grain Extract Enriched with Polyamines Alleviates Drought Stress in Triticum aestivum through Up-Regulation of the Ascorbate–Glutathione Cycle, Glyoxalase System, and Polyamine Gene Expression

The potential protective role of priming wheat seeds with maize green extract (MGE) against the stress effects of drought was studied. Pretreatment using MGE, MGE enriched with polyamines (MGEPA), and drought treatments (irrigation deficit of 30% (severe drought) or 60% (moderate drought) versus 90% relative water content of soil as a control) were applied in a factorial completely randomized design. Under moderate drought, pretreatment with MGEPA outperformed MGE and control, while severely stressed plants died even with pretreatments. Both extracts enhanced normal plant growth and yield and mitigated the deleterious effect of moderately stressed plants. Application of both extracts markedly increased photosynthetic efficiency, membrane stability, relative water content, and accumulation of antioxidants, osmoprotectants, trans- and cis-zeatin, polyamines, and their gene expressions, while levels of superoxide (O2•−) and hydrogen peroxide (H2O2), lipid peroxidation, and electrolyte leakage were decreased. Enzymatic antioxidants and glyoxalase system activities were improved in moderately stressed plants and were further improved with pretreatment with both extracts, thus protecting plants from oxidative damage by up-regulation of the ascorbate–glutathione cycle. Glycine betaine, soluble sugars, and proline levels were greatly increased in pretreated plants, thus maintaining membrane stability and photosynthetic efficiency. The interaction between drought and pretreatment using MGEPA was significant in growing wheat plants in dry environments with 60% relative water content of soil.
Preparing for Strong Therapeutic Relationships: Creativity in Addictions Counselor Education

ABSTRACT In observation of empirical support and theoretical support for relational and attachment-based interventions in addictions counseling education and research, the authors explore the relational depth model as a potential training model in addictions counseling education. This piece offers training activities for addictions counseling educators targeted at enhancing student capacity and understanding of presence and connection with clients. The authors detail the use of experiential activities to enhance these capacities that include questions for reflection and discussion of application to practice. The authors develop the rationale for this training with a brief review of the relational depth literature and the recent addictions literature regarding research and training in relational factors in addictions counseling. Finally, the authors offer future implications for the addictions counseling education literature including the need for the development and empirical validation of relational training programs in addictions counseling education and practice.
Transforming the Possible intoAction in Colson Whitehead’s Novel “The Intuitionist”

The XXIst century, known among others as a “culture of empiricism,” is a time of accelerated technology and engineering feats, on the one hand and of controversial race problems, on the other. For approaching Colson Whitehead’s novel “The Intuitionist,” where the writer is travelling back and forth between “the naturalist novel of race” and “the imaginative novel of ideas,” George Kelly’s Personal Construct Theory will be employed as a methodological device to decode its intricate meaning. Kelly’s socio-psychological theory incorporates vectors of action and perception meant to reveal how the individual construes the world, in Whitehead’s case, how Lila Mae Watson, the city’s first black female elevator inspector, construes herself as the follower of James Fulton, another black person, father of Intuitionism and promoter of vertical thought, meant to give rise to the perfect, new generation elevator in a city marked by pain and the stoicism of black people who look for the ultimate elevator that will take them “up and out. ” Kelly’s concept of motivation will be also turned into account through his argument that people act not because of “motive forces,” but because of alternative perspectives that better suit them. Motivation will also grant to Lila MaeWatson the ability “to transform the possible into action and create values” (Alfred Whitehead, qtd in Lavelle, 1997: 146) and it will be commented upon as a prestigious educational device meant to ensure a greater understanding of the communication context present in Whitehead’s novel.
The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy

Abstract. The majority of global CO2 emissions originate in cities. We have proposed that dense networks are a strategy for tracking changes to the processes contributing to urban CO2 emissions and suggested that a network with ∼2 km measurement spacing and ∼1 ppm node-to-node precision would be effective at constraining point, line and area sources within cities. Here we report on an assessment of the accuracy of the Berkeley Environmental Air-quality and CO2 Network (BEACO2N) CO2 measurements over several years of deployment. We describe a new procedure for improving network accuracy that accounts for and corrects the temperature dependent zero offset of the Vaisala CarboCap GMP343 CO2 sensors used. With this correction we show that a total error of 1.6 ppm or less can be achieved for networks that have a calibrated reference location and 3.6 ppm for networks without a calibrated reference.
The Role of Beach Morphology and Mid-Century Climate Change Effects on Wave Runup and Storm Impact on the Northern Yucatan Coast

Wave runup is a relevant parameter to determine the storm impact on barrier islands. Here, the role of the beach morphology on wave runup and storm impact was investigated at four coastal communities located on the northern Yucatan coast. Current wave conditions based on regional wind simulations, topo-bathymetric transects measured at each location, and a nonlinear wave transformation model were employed to reconstruct multi-year runup time series. Dune morphology features and extreme water levels (excluding storm surge contributions) were further employed to determine the storm impact at each site for different return periods. Despite the similar offshore conditions along the coast, extreme water levels (i.e., runup and setup) showed intersite differences that were mainly ascribed to subaerial and submerged morphological features. Numerical results showed that the average surf zone beach slope, sandbars, berm, and dune elevation played an important role in controlling extreme water levels and storm impact at the study sites under the present climate. Moreover, in order to assess the potential effect of climate change on coastal flooding, we analyzed wave runup and storm impact in the best-preserved site by considering wave conditions and sea level rise (SLR) projections under the RCP 8.5 scenario. Modelling results suggest no significant increase in the storm impact regime between the present and future conditions in the study area unless SLR is considered. It was found that to accurately estimate SLR contribution, it should be incorporated into mean sea level prior to performing numerical wave runup simulations, rather than simply adding it to the resulting wave-induced water levels.
Molecular Association of Sexually Transmitted Infections and Methylation Pattern of SNRPN Gene Promoter among Males with Abnormal Semen

Infertility affects about 8-12% of couples worldwide, and male infertility accounts for a half of these cases, therefore, thisstudy was undertaken to focus on some factors affecting male’s fertility such as DNA methylation and genital tract infections by sexually transmitted diseases. The study groups included infertile males as a patient group (n=63) in an age mean (32.28 ± 6.88 years) and fertile males as a control group (n=13)in an age mean (34.07 ±6.52years). Seminal fluid was collected from all males attending a clinical laboratory for routine semen analysis, seminal fluid analysis was performed according to World Health Organization guidelines, all of the 63 infertile males was suffering from reduced sperm concentration (9.42 ± 8.70 million/ml), reduced progressive motility (2.89 ± 5.45%) and abnormal sperm morphology (27.06 ± 16.50%), while control group have a higher values thus, there was a highly significant difference in semen parameters between the two groups.The DNA samples of the patients group (n=44) and control group (n=13) was subjected to bisulfite treatment to convert un-methylated C-residues to uracil, this step was performed to allow the qualitative detection of methylation at the promoter of Small nuclear ribonucleoprotein polypeptide N gene by Real time polymerase chain reaction using two sets of designed primers (methylated and un-methylated sets) allowing one set of the primers to anneal, and amplify the desired region.The results of real time PCR for the detection of methylation in SNRPN gene promoter showed hyper methylation in the promoter of SNRPN in some samples (22.7%), a slight methylation in others (20.4%) and no methylation in other samples (56.8%) from infertile males, while all the 13 control samples showed no methylation.
Study of Some Physiological and Histological Parameters of Albino Rats Administrated with a Herbal Obesity Slimmer Product

The modern studies on the treatment of obesity have dedicated on the potential activity of plants to control obesity on the metabolism of lipid and glucose. The aim of this study is to investigate about the effect of AB slim on body metabolism of its – takers and determine its safety. 16 female rats (150 - 250) divided equally into 4 groups, the first group considered as control group and administered distilled water, the three other groups daily administered the prepared aqueous solution of AB slim capsule for 45 days. The animals weighed after 24 hr. of the last administration, the animals were weighed. The results showed after weeks of treatment that the animals gain weight instead of losing it and there were no beneficial effects of this remedy on lipid profile, in contrast there was an increase in LDL levels and decrease in HDL. The hisopathological study showed degeneration and necrosis in most organs , liver, kidney, spleen and gastrointestinal tract.
Validity of the inventory of perception of personal relationships and bio-psycho-social well-being in young adults in treatment for drug use

ABSTRACT Introduction Results obtained from community treatment programs have shown that risky and unstable personal relationships are a major risk factor in relapsing into drug use and psychosocial problems. In reference to this, it was necessary to validate an inventory to test the rehabilitation program that empowered the patients to improve their social connections through a more informed relationship with their care provider. Objectives Accomplish the confirmatory validation of an inventory of perception of personal relationships and bio-psycho-social well-being and the development of a structural equation model (SEM) to test them. Method A cross-sectional study design, with a sample of 286 young adults in treatment for drug use, was carried out. Results The main findings showed the validation of two multifactorial scales of the inventory, which links a set of three scales related with the perception of relationships (51.6% of the explained variance and a Cronbach’s alpha =.829), and a set of other three scales associated with psychosocial well-being (64.7% of explained variance and a Cronbach’s alpha =.949). Likewise, an SEM, that revealed 72% of the variance of psychosocial well-being was with adequate goodness of fit of (X2 = 9.619, gl = 6, p = .142; GFI = .989; NFI = .991; RMSEA = .046). Conclusion: The inventory and the SEM model were validated and could be used to test the rehab intervention program.
Language attitudes towards Serbian Sign Language and experiences with deaf education in Serbia

In this paper, we report on data obtained from interviews with 28 deaf signers and three hearing teachers of deaf pupils regarding their experiences with and attitudes towards deaf education and Serbian Sign Language (SZJ). Following transcription of the data, we conducted thematic analyses of the deaf informants’ and teachers’ comments. Data, which indicate that a change in language attitudes among deaf people has taken place compared to the oralist ideology still prevalent among teachers, are considered within a broader historical context by giving the first account of SZJ, its place in education and its history. In the light of the results, we highlight the importance of teacher training for promoting a cultural-linguistic minority perspective in deaf education in Serbia that would allow for deafness to be viewed as human diversity rather than disability.
Transformation Hidden in the Sand; a Pluralistic Theoretical Framework Using Sand-Tray with Adult Clients

ABSTRACT Jungian sandplay predominates the existing literature on sand-tray therapy. Although there is a small volume of literature on alternative approaches of using sand-tray with adults, most primarily focuses on children and adolescents. The study aimed to establish a sand-tray therapy framework to be utilized by practitioners who are not Jungian trained and intend to use this intervention with adult clients. The grounded theory multiple case study involved six client-participants receiving six sand-tray therapy sessions. The pluralistic model established incorporates inter-relational and intra-psychic dimensions. Concepts include phenomenological shift and two sand-tray specific mechanisms of phenomenological anchor and phenomenological hook, aiding ‘edge of awareness’ and unconscious processing. In this study, pluralistic sand-tray therapy was deemed successful based on improved CORE-10 clinical scores and the various participant feedback collected.
Top Managerial Oversea Social Capital, Firm Network Position and Innovation: The Mediating Effect of Prestige and Power from Firm Network Position

In this article, we draw on the perspective of “embeddedness” with the resource dependence theory and social network theory to explore the relationship between oversea social capital, enterprise network advantageous position (“prestige” and “power”) and innovation capability by employing 1533 listed companies’ interlocking directorate network statistics among 2009-2013. The results show: 1) top managerial oversea social capital has a significant positive effect on enterprises’ innovation capability; 2) top managerial oversea social capital has a positive effect on obtaining the enterprise network advantageous position (prestige an power); 3) enterprise network advantageous position (prestige an power) has a mediating effect on the relationship between oversea social capital and innovation capability; 4) top managerial governmental social capital has a positive moderating effect on the relationship between oversea capital and innovation capability. This research enriches researches on how does top managerial oversea social capital transfer into innovation capability, and explores the collaboration mechanism of oversea social capital and domestic governmental social capital on improving enterprises’ innovation capability. This article provides both theoretical and practical implications on the future research on how to transfer top managerial oversea social capital into innovation capability improvement.
Implicit Interpretation of Indonesian Export Bans on LME Nickel Prices: Evidence from the Announcement Effect

Forecasting of LME (London Metal Exchange) nickel prices remains an interesting topic but lacks consensus. This study aims to fill knowledge gaps by demonstrating the announcement effect of export bans by the Indonesian government. This article focuses on Indonesia because Indonesia produces more than 60% of global nickel ore. We identified the sequence of two episodes in which Indonesian export bans of nickel ore appeared to increase LME nickel prices. The impact of the Indonesian export ban in 2014 is somewhat larger than that of 2019. The shock on the LME nickel market in 2014 was sustained for a while after the ban was implemented. We believe that this is the first export ban that has had unexpected effects within the market.
Improving the Quality of Life of Adults With Cancer and Their Family Caregivers in Sub-saharan Africa: Intervention Development

Background The evidence for the efficacy of interventions aimed at enhancing the quality of life of cancer patients and/or family members is compelling, but most of the interventions were carried out in high-income countries. Despite high needs that adversely affect the quality of life of people living with cancer and their family caregivers, there is a lack of culturally sensitive interventions for low-income communities. As a result, designing an intervention in resource-poor setting to address the needs and support coping strategies of individuals with cancer and their family caregivers is critical. Methods The intervention content and structure were developed using the Capability, Opportunity, and Motivation-Behaviour (COM-B) model for designing evidence-based interventions. A systematic review and quantitative needs assessment of adults with cancer and their family caregivers were previously undertaken. Based on these results, problem was defined, target behaviours were selected and specified, a comprehensive behavioural diagnosis was conducted, and the Taxonomy of Behaviour Change Techniques was used to identify behaviour change techniques and mode of delivery. Results Adults with cancer and their family members' needs were addressed through a 120-minute training intervention delivered in a face-to-face group setting, with a four-week follow-up. This intervention incorporates eleven behaviour change techniques of goals and planning; feedback and monitoring; social support; shaping knowledge; natural consequences; comparison of behaviour; associations; repetition and substitution; comparison of outcomes; reward and threat; and self-belief. Conclusion A systemic approach was used to explicitly conceptualise an evidence-based and theory-informed intervention tailored to the target population and setting. The proposed intervention addressed previous evidence gaps for the Nigerian user population of adults living with cancer and their family caregivers. Therefore, if implemented and effective, such an intervention has the potential to improve the quality of life of people living with cancer and their families, as well as the intervention's implementation in clinical practice and communities in other low and middle-income countries.