Miracle-dz/UniFAR-FTUs huggingface dataset:
Employee Selection Process: An Approach for Effective Organizational Performance

This paper is aimed at examining the relationship between employee selection process and organizational performance. Adopting a proportionate stratified random sampling technique, 255 employees were profiled amongst ten (10) banks in Lagos State. Guided by the Human capital Theory, data gathered by this cross-sectional survey was analysed through standardized multiple regression. Three selection process variables – applicant interview, cognitive ability test, and personality questionnaire - were regressed on organizational performance. A preliminary investigation revealed the absence of multicollinearity in the correlation matrix. The ANOVA table indicates that the proposed model is significant, F(3, 251) = 68.446, p < 0.001. Applicant interview made the most unique, and statistically significant contribution to the prediction of organizational performance. This outcome empirically supports that employee selection process cannot be jettisoned when measuring organizational performance. This paper showcases a unique deviation from extant literature which had used market share value, customer base, financial strengths, annual returns, and so forth as parameters to measure organizational performance. Hence, theoretically, this outcome bridges the lacuna that exist in organization performance literature. Practically, the paper suggests to industry experts that the best talents needed to achieve organizational excellence are preferably selected through interview. Apart from the expensive nature of stratified random sampling, this paper is limited by its inability to differentiate between in-person interview and virtual interview. Future study may consider the various forms of interviews to strengthen the outcome of this paper.
Desktop study documenting the occurrence and geological characteristics of known VMS deposits associated with Northland's Tangihua Complex

IV 1.0 INTRODUCTION 1 2.0 TANGIHUA COMPLEX 1 3.0 MINING AND EXPLORATION HISTORY FOR VMS DEPOSITS ASSOCIATED WITH THE TANGIHUA COMPLEX 5 4.0 TANGIHUA MASSIFS 6 4.1 Reinga 6 4.2 Te Rake 6 4.3 North Cape 6 4.4 Te Kao 9 4.5 Maungataniwha 9 4.6 Ahipara, Whangape and Warawara 9 4.7 Waima 10 4.8 Mangakahia 10 4.9 Motatau and Purua 10 4.10 Pekapekarau 10 4.11 Houtu 10 4.12 Waihue 11 4.13 Maungar 11 4.14 Tangihua 11 4.15 Mt Braeme and Flat Top Hill 11 5.0 CU-RICH VMS DEPOSIT MODEL 12 6.0 GEOLOGY AND MINERALOGY OF NORTHLAND VMS DEPOSITS 12 6.1. 1 Pupuke 12 6.1. 2 Pakotai 14 6.1. 3 Parakao 14 7.0 COMPARISON OF NORTHLAND VMS DEPOSITS WITH MODERN OCEAN FLOOR VMS DEPOSITS 15 8.0 GEOPHYSICAL SIGNATURES OF THE TANGIHUA COMPLEX AND THE KNOWN VMS DEPOSITS 16 8.1. 1 Pupuke (Figures 6 and 7) 16 8.1. 2 Pakotai and Parakao (Figures 8 and 9) 16 8.1. 3 Purua (Figures 10 and 11) 17 9.0 GEOCHEMISTRY 24 9.1. 1 Geochemical signatures of known deposits 29 9.1. 2 Geochemical anomalies away from known deposits 29 10.0 PROSPECTIVITY FOR VMS DEPOSITS IN NORTHLAND 38 11.0 CONCLUSIONS 38 12.0 ACKNOWLEDGEMENTS 39 13.0 REFERENCES 39
Understanding the role of youth in Indigenous territorial governance

Indigenous territories cover more than one-fourth of the world’s land surface, overlap with distinct ecological areas, and harbour significant cultural and biological diversity; their stewardship provides critical contributions to livelihood, food security, conservation, and climate action. How these territories are accessed, used, and managed is an important question for owner communities, state governments, development agencies, and researchers alike. This extends to how broad community memberships remain invested in territorial use and management, with young people comprising one sub-group often underrepresented in decision-making spaces. We know that internal community norms and structures–often dominated by older, adult males–can limit opportunities for youth to contribute their energy and ideas. We also know that youth can and do leave their home communities to pursue life, work, or education goals and aspirations. Drawing on insights from 5 years of collaborative research with the Indigenous Territory of Lomerío (ITL), Bolivia, we explore the roles that youth play in territorial governance, their perceptions of current structures and novel engagement strategies, and consider what lessons from this case could be applied more broadly. Our findings point to the ITL as an instructive example of how Indigenous (and other rural and remote) communities might enable young people to participate more fully in territorial governance, highlighting the importance of an enabling, underlying socio-cultural context. Based on our work in Bolivia, and lessons from other places, we discuss ways to enhance youth-community-territory linkages to support Indigenous land sovereignty and stewardship and reflect on how research co-design and knowledge co-production can help deliver more robust, inclusive, and useful (in an applied sense) empirical insights in support of such efforts.
Characterising the in situ fragmentation of a fractured rock mass using a discrete fracture network approach

The prevalence of block and panel caving mines is predicted to increase as easy access deposits exploited with open pit mining are worked out and mining of deeper deposits is required to meet metal demand. With the caving process from block and panel caving mines relying strongly upon the natural fracture network of the rock mass, there is an associated need for improving the characterization of the in situ fragmentation. In-situ fragmentation is defined as the blocks that are naturally present in the rock mass before any mining activity occurs. In the various forms of block and panel caving, the in-situ fragmentation of the rock mass strongly influences cave initiation, cave propagation, and the draw of ore. Increasingly discrete modelling methods are being used to address the challenges of characterising the in-situ fragmentation. However many of these approaches are constrained by the need to simplify the fracture system down by using some rather unrealistic assumptions. For instance the use of infinite ubiquitous fracturing are clearly properties not observed widely in nature but commonly implemented. The recent increase in the common application of borehole imaging tools and advanced photogrammetry to accurately describe the orientation, extent and geotechnical character of the discontinuities in a rock mass now provide the data to do better. With our increasing ability to image and quantify the rock mass structure, more accurate models of the actual rock mass are available for rock engineering design purposes. The use of realistic fracture network models offers a number of advantages over existing methods: the probability of complete block formation can be determined rather than just identifying the possibility. The detailed geometry of identified blocks can be defined in terms of mass, volume and shape as well as the associated rock bridges that are preventing full block formation. The stochastic nature of the discrete model means that multiple realisations can be generated and therefore all of the properties of the model defined in terms of the likelihood of occurrence.
Macroinvertebrates as Indicators of The Water Quality of an Urbanized Stream, Kaduna Nigeria

A survey was conducted from March to September, 2005 on a fourth order perennial Northern Nigerian stream to evaluate the water quality using the macrobenthic invertebrate community of the bankroot biotope. Physico-chemical variables were determined using standard methods. A total of 1304 macroinvertebrates were recovered. Twenty-seven taxa were recorded. The higher number of taxa (23) was recorded at station 2. The abundance of individuals was highest at station 3. The presence of low densities of pollution tolerant macroinvertebrate groups, the deteriorating water quality and the physco-chemical conditions of the water during the dry season months was a reflection of organic pollution stress caused by decomposing domestic refuse and inorganic fertilizer washed into the stream by irrigation. (Nature and Science. 2009;7(1):1-7). (ISSN: 1545-0740).
Slope currents around the Kerguelen Islands from demersal longline fishing records

The Kerguelen Plateau constitutes a natural obstacle for the eastward progress of the Antarctic Circumpolar Current, especially around the Kerguelen Islands. However, there is little quantitative knowledge of the current field around the islands due to lack of long‐term current measurements. We performed a systematic analysis of a total of 28917 points of fishing gear drifts from setting and recovery positions of demersal longlines deployed between 2002 and 2007 for Patagonian Toothfish (Dissostichus eleginoides) fisheries in Kerguelen waters. This enabled the construction of a realistic field of depth‐averaged time‐mean slope currents along the 1000 m isobath all around the Kerguelen Islands. The strongest depth‐mean velocities of 25 cm s−1 are associated with the Polar Front, which rounds the islands from the south and flows northward along the inner continental slope immediately east of the islands, strongly supporting previous hydrographic evidence. These results demonstrate the potential for hitherto unexploited historic longline drift data from demersal fishing grounds to provide valuable quantitative information on the regional circulation.
Corrosion Inhibition Effects of Ficus exasperatae and Costus afer in Acidic Medium at Different Temperatures

One of the most effective ways of mitigating the corrosion of metals in various media is by using of corrosion inhibitors. Due to the harmful effects of chemical-based corrosion inhibitors, attention is now shifting to plant materials which are environmentally friendly. Therefore, this paper investigates the corrosion inhibition potentials of Ficus exasperata and Costus afer leaves extracts on the corrosion of mild steel in 0.5 M hydrochloric acid medium at different temperatures (303 – 343 K). Secondly, to determine the effect of temperature on the corrosion inhibition performance of Ficus exasperata and Costus afer. The weight loss method of corrosion measurement was used to evaluate the corrosion inhibition potentials of the plant extracts. The results showed that Ficus exasperata and Costus afer inhibited the corrosion of mild steel in hydrochloric acid medium at all temperatures. Corrosion rates decreased with increase in concentration of the extracts. Concentration of the extracts used (0.125 g/L, 0.25 g/L, 0.5 g/L, 1.25 g/L and 2.5 g/L) did not significantly (p > 0.05) affect the corrosion rate of mild steel in the acidic media. Corrosion rates increased with increase in temperature. Inhibition efficiencies of the extracts increased with increase in concentration of the extracts and decreased with increasing temperatures. The adsorption of the extracts on the metal surface occurred by physical adsorption. Ficus exasperata and Costus afer could serve as effective inhibitors for mild steel in acidic media and their efficiencies are affected by high temperatures.
Sengoerina argandi, n. gen., n. sp., and its position in the evolution of Late Permian biseriamminid foraminifers

The name Sengoerina is proposed for a new biseriamminid genus characterized by a coiled stage of initially globular to progressively angular, biserial chambers followed by an uncoiled stage of angular, biserial chambers. Unlike Dagmarita, it has a distinct coiled stage and lacks spine-like projections at the outer margins of the chambers. Sengoerina constitutes the root stock of the angular-chambered, dagmaritin-type biseriamminids which evolved from the globivalvulines in the Late Permian.
Toothpaste ingestion—evaluating the problem and ensuring safety: systematic review and meta-analysis

This systematic review and meta-analysis aimed to evaluate the ingestion of toothpaste and its sequelae. The study adhered to the PRISMA guidelines and was registered in the PROSPERO database. A comprehensive search strategy was conducted across multiple databases, resulting in the inclusion of 18 relevant publications. Eligible studies encompassed various designs and included both children and adults as the study population. Data extraction was carried out systematically, and relevant information on study characteristics, interventions, and outcomes were collected. The assessment of bias was performed using the Joanna Briggs Institute’s Critical Appraisal Tools showing variations of bias among the included studies. The overall risk of systemic toxicity was found to be low, and no severe or life-threatening events were reported in the included studies. Furthermore, some toothpaste formulations containing higher concentrations of fluoride were associated with an increased risk of dental fluorosis. These findings have several implications for practice and policy. Healthcare providers and dental professionals should emphasize the importance of promoting safe toothpaste use, especially in vulnerable populations such as young children who are more prone to accidental ingestion. Public health campaigns and educational initiatives should aim to raise awareness about appropriate toothpaste usage and the potential risks. In addition, toothpaste manufacturers and regulatory bodies should consider revising guidelines and regulations to ensure the safety of oral care products, including the appropriate concentration of active ingredients. Future research should focus on investigating the long-term effects of toothpaste ingestion, exploring potential interactions between different active ingredients, and evaluating the efficacy of current preventive measures.
Optimization of spatial statistical approaches to identify land use/land cover change hot spots of Pune region of Maharashtra using remote sensing and GIS techniques

Abstract This study investigated land use/land cover change (LULCC) dynamics using temporal satellite images and spatial statistical cluster analysis approaches in order to identify potential LULCC hot spots in the Pune region. LULCC hot spot classes defined as new, progressive and non-progressive were derived from Gi* scores. Results indicate that progressive hot spots have experienced high growth in terms of urban built-up areas (20.67% in 1972–1992 and 19.44% in 1992–2012), industrial areas (0.73% in 1972–1992 and 3.46% in 1992–2012) and fallow lands (4.35% in 1972–1992 and −6.38% in 1992–2012). It was also noticed that about 28.26% of areas near the city were identified as new hot spots after 1992. Hence, non-significant change areas were identified as non-progressive after 1992. The study demonstrated that LULCC hot spot mapping through the integrated spatial statistical approach was an effective approach for analysing the direction, rate, spatial pattern and spatial relationship of LULCC.
Internet of Things experimental platform for real-time water monitoring: a case study of the Araranguá River estuary

The Internet of Things (IoT) is a technology that can be employed to monitor several sectors, mostly precision agriculture, where environmental data can be used to better manage resources, reduce costs, and improve the use of natural resources. This work proposes the application of cloud-based IoT for monitoring irrigation water in rice fields. Southern Brazil was chosen as a case study because it suffers from water pollution problems due to urban activities, coal mining, and the inflow of saline water into the Araranguá River estuary. All these factors can compromise the water quality for irrigation. The presence of salt in irrigation water can compromise rice growth, making its monitoring essential for successful cultivation. Currently, the rice farmer needs to travel to the riverbank to assess the water quality using a manual sensor. This procedure demands time and resources and is not always efficient. The technology helps indicate whether the water is of quality to irrigate crops, helping the farmers decide whether to use that water to irrigate their fields. The solution is based on low-cost wireless sensor network devices, with subsequent transmission of data from the gateway using the network mobile phone cloud. Data collected were also accessed by the smartphone through a mobile application. This system was implemented for testing in the Araranguá River estuary, southern Santa Catarina, Brazil. Also, it appears as an option for farmers who need to monitor the quality of the water channel of the crop, thus avoiding the loss and reduction in crop productivity because the system can be continuously monitored and show notifications to the user. The highlights of this work were prototyping a complete solution to help the farmer using a smartphone application.
CAD system for epileptic seizure detection from EEG through image processing and SURF-BOF technique

Epilepsy is one of the most debilitating neurological diseases that abruptly alters a person’s way of life. Manual diagnosis is a laborious and time-consuming task prone to human error. Therefore, automating this task by developing an intelligent system is necessary. Existing deep learning (DL) models require high training time, large datasets, and machines with more memory and processing power. In addition, owing to the black-box nature of DL models, no one can determine the features that the network prefers for classification decisions. To overcome these challenges, this study proposes an accurate, automatic, and fast-intelligent system for epilepsy detection using a computer-aided diagnosis (CAD) -two-dimensional machine learning (ML) framework. Existing ML models struggle to produce reliable and acceptable diagnostic results owing to the low amplitude and nonstationary nature of electroencephalograms (EEGs), particularly in clinical situations where environmental influences are almost impossible to eliminate. The proposed model was built using the Children’s Hospital Boston and the Massachusetts Institute of Technology dataset, and represents the first study that employs the speeded-up robust feature (SURF) bag of features technique for this application, which generates local features from spectrogram images of the respective one-dimensional EEG signal inputs. In addition, DL features were extracted from the spectrogram images for model performance comparison. Both features were used separately to train the ML classifiers. Implementing SURF offers fast computation and makes the model invariant to distortions, noise, scaling, and so on. Therefore, the proposed model is more suitable for real-time applications, and this ML framework provides an enhanced accuracy of 99.78% compared to the support vector machine-RBF classifier, along with 99.56% sensitivity, 100% specificity, and an error rate of 0.22%. The higher detection accuracy demonstrates the effectiveness of the proposed framework for medical disease diagnosis applications.
Sustainable HR Practices in Indonesian MSMEs from a Social Entrepreneurship Perspective: Training, Recruitment, Employee Engagement, Social Impact of Local Communities

This study looks into the complex interactions that exist between Indonesian Micro, Small, and Medium-Sized Enterprises (MSMEs) and training, hiring, employee engagement, social entrepreneurship performance, sustainable business practices, and the social impact on local communities. The study employs Structural Equation Modeling (SEM-PLS) through a quantitative analysis encompassing 487 MSMEs to explore a broad range of hypotheses. The findings highlight the paradoxical relationship that exists between sustainability and training, underscoring the necessity for HR procedures to be approached with delicacy. High employee engagement and successful hiring emerge as key factors that influence the performance of social entrepreneurship and sustainable business practices. Moreover, the research highlights the positive effects of MSMEs involved in social entrepreneurship on sustainable practices and the larger community, underscoring the connection between sustainability and social entrepreneurship. While the practical consequences direct strategic HR planning and the reform of training programs, the theoretical implications cover the advancement of Sustainable Human Resource Management (SHRM) and the enrichment of social entrepreneurship theory. The research offers significant perspectives for MSMEs aiming to harmonize HR procedures with sustainability goals and promote constructive societal influence.
Burnout in medical students: A longitudinal study in a Portuguese medical school

Abstract Abstract Background Burnout is highly prevalent among medical students. This study aimed to assess burnout levels over the course of a semester and identify variables that might explain burnout’s variance over time. Method This longitudinal study involved medical students from a Portuguese school. Participants completed the Maslach Burnout Inventory and Mental Health Inventory-5, along with questions related to social support, help-seeking behaviours, academic performance, mental health and lifestyle assessment at the beginning (first phase), middle (second phase) and end (third phase) of the first semester of 2018–2019 academic year. Results A total of 108 participants provided responses in all phases (paired sample). The prevalence of burnout in the first phase was 28.2%, which increased to 34% in the second and 39.5% in the third. To explore factors contributing to burnout levels, we used the 332 responses obtained in the third phase (non-paired sample). Higher burnout levels were associated with poor academic performance, mental health stigma, consumption of tranquillisers and living away from home. Conversely, they were negatively associated with social support and a healthy lifestyle. Conclusions The study reveals a high prevalence of burnout among medical students, with burnout levels increasing throughout the semester. These levels are influenced by modifiable variables.
SEISMIC STABILITY OF SOIL RETAINING WALLS SITUATED ON SLOPE

Many soil retaining walls, which were used to stabilize highway embankments constructed on hillside, were severely damaged during the major earthquake (Chi-Chi earthquake, M\dL = 7.3) on September 21, 1999 in Taiwan. We investigated two typical cases of soil retaining wall damage using survey, soil borings and soil tests. To this end we developed a new pseudo-static method to evaluate the seismic stability of retaining walls situated on slope. Sliding failure along the wall base and bearing capacity failure in the foundation slope were considered in the new pseudo-static method. Results of the analysis showed that seismic stability of the wall against bearing capacity failure may be greatly overestimated when the inertia of soil mass is not taken into account. The analytical results also showed that sliding failure along the wall base occurs prior to the bearing capacity failure of the wall situated on a gentle slope at Site 1. The opposite is true for the wall situated on a steep slope at Site 2. For soil retaining walls constructed on slope, sliding failure of the wall may occur under small input horizontal ground acceleration when the passive resistance in front of the wall is not effectively mobilized. This highlights the importance of improving the strength of backfilled soils in the passive zone when constructing soil retaining walls on slope. The results obtained in the present study also suggest a modification of the current design considerations for soil retaining walls situated on slope.