Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Topic Modelling to Reassess Heritage Values from a People-centred Perspective: Applications from the North of England

The historic environment—comprising a palimpsest of landscapes, buildings and objects—carries meaning and plays a crucial role in giving people a sense of place, identity and belonging. It represents a repository of ever-accumulating collective and individually held values—shared perceptions, experiences, life histories, beliefs and traditions. These social or private values are mostly ascribed by people to familiar places within this environment based on the ontological security which this everyday heritage provides. However, these values are notoriously hard to capture and categorize. This makes it difficult to incorporate them into heritage-management strategies, which typically rely on objective, fact-based datasets. In this paper, we present a new methodology to capture those elusive values, by combining Topic Modelling with the principles of Grounded Theory. Results show that our novel approach is viable and replicable and that these important values can be effectively and meaningfully integrated, thus creating more inclusive approaches to heritage management than exist currently.
An Empirical Analysis of Telecommuters: Their Level of Satisfaction, Commitment and Loyalty

The present study measures the influence of telecommuting on job satisfaction by taking job autonomy, schedule flexibility and work control, work–life balance and reduced job stress as outcome variables of telecommuting. The role of job satisfaction has also been investigated in determining organizational commitment and turnover intention. Confirmatory factor analysis was done to test the fitness of the data to the model along with ensuring the convergent and discriminant validity of the data. For testing the proposed hypotheses, the structural equations modelling technique was used. Results from the study confirm the role of telecommuting in enhancing the overall job satisfaction of employees which in turn improves their level of organizational commitment and reduces turnover intention. The findings of the study contribute empirically to the literature on voluntary part-time telecommuting and provide implications for the proper adoption of a part-time telecommuting arrangement post-COVID-19 and the using of telecommuting as a talent retention strategy.
On solutions of the Schrödinger equation with radiation conditions at infinity

Our aim is to show that every function u(x) satisfying (1.1) and (1.2) is asymptotically a sum of incoming and outgoing distorted spherical waves (1.3) w±(x, A) = |^|-(rf-i)/2^(^\ where the phase y? is a suitably chosen approximate solution of the eikonal equation (i.4) Iv^Mp+y^A. Clearly, for functions w±, estimate (1.2) is fulfilled. Remainders e(x) in our asymptotic formulas will satisfy the condition
Physicochemical Characteristics of Borehole Water Sources in a Tertiary Educational Institution in Katsina, Katsina State, Nigeria

Physicochemical parameters are very crucial to get the exact idea about the quality of water in order to protect the natural ecosystem and also compare data obtained with standard values. This study focuses on determining the physicochemical properties of borehole water samples distributed within a tertiary educational institution in Katsina, Nigeria using standard methods. Data obtained reveals that, the pH of the water samples ranged from 6.75 – 7.78, Temperature 24.5 – 31.5oC, Dissolved oxygen (DO) 3.79 – 4.98 mg/L, Biological oxygen demand (BOD) 0.25 – 1.32 mg/L, Turbidity 0.78 – 10.00 NTU, Electrical conductivity 56.85 – 220.00 µS/cm, Total dissolved solids 2.25 – 19.00 mg/L, Total hardness 3.32 – 7.24 mg/L. Chlorides and Sulphate levels ranged from 0.95 – 5.99 mg/L and 0.17 – 0.34 mg/L respectively. Analysis of Variance (ANOVA) revealed significant differences in most values obtained at different sites at P ≤ 0.05. The water quality within the institution fell within the permissible standards of the WHO and therefore safe. However, the study recommends continuous surveillance of the water supplies at different seasonal intervals in order to determine any effect of seasonal variation on the quality of water and the commercialization of the water supplies into a table water factory in the nearest future.
Interactions between energetic electrons and realistic whistler mode waves in the Jovian magnetosphere

The role of plasma waves in shaping the intense Jovian radiation belts is not well understood. In this study we use a realistic wave model based on an extensive survey from the Plasma Wave Investigation on the Galileo spacecraft to calculate the effect of pitch angle and energy diffusion on Jovian energetic electrons due to upper and lower band chorus. Two Earth‐based models, the Full Diffusion Code and the Versatile Electron Radiation Belt code, are adapted to the case of the Jovian magnetosphere and used to resolve the interaction between chorus and electrons at L = 10. We also present a study of the sensitivity to the latitudinal wave coverage and initial electron distribution. Our analysis shows that the contribution to the electron dynamics from upper band chorus is almost negligible compared to that from lower band chorus. For 100 keV electrons, we observe that diffusion leads to redistribution of particles toward lower pitch angles with some particle loss, which could indicate that radial diffusion or interchange instabilities are important. For energies above >500 keV, an initial electron distribution based on observations is only weakly affected by chorus waves. Ideally, we would require the initial electron phase space density before transport takes place to assess the importance of wave acceleration, but this is not available. It is clear from this study that the shape of the electron phase space density and the latitudinal extent of the waves are important for both electron acceleration and loss.
EFFECTS OF NIGHT GRAZING, WATERING REGIME, TIME OF THE DAY AND SEASON ON RESPIRATION RATE AND RECTAL TEMPERATURE OF SUDAN DESERT SHEEP EWES.

1. University of Kordofan, Dept. of Animal Production, Sudan. 2. Agricultural Research Corporation, El-Obeid Research Station, Animal Nutrition and Range, Sudan. 3. Humboldt-Universitat zu Berlin, Dept. of Animal Breeding in the Tropics and Subtropics, Germany. 4. University of Khartoum, Faculty of Animal Production, Sudan. Manuscript Info Abstract . Manuscript History
Seropositivity of Leptospira in rodents, shrews, and domestic animals in Unguja, Tanzania

Background: Leptospirosis is one of the most commonly neglected zoonoses in developing nations including Tanzania. This study aims to find out the seroprevalence of leptospirosis in rodents, shrews, and domestic animals in different regions in Unguja Island, Tanzania. Methods: A cross-sectional study was carried out from January to April 2022. The blood samples were collected from rodents and shrews (n=248), cattle (n=247), goats (n=130), sheep (n=32), and dogs (n=80). The blood samples were allowed to clot in a slanted position and serum samples were harvested. A microscopic agglutination test (MAT) was performed on the sera to check for leptospiral antibodies using five Leptospira serovars as antigens (Sokoine, Lora, Pomona, Grippotyphosa and Hebdomadis). Results: The overall seropositivity of leptospiral antibodies was 9.68% in rodents and shrews, 14.57% in cattle, 10.01% in goats, 31.25% in sheep, and 26.25% in dogs. The seropositivity of Leptospira varied significantly with animal species (OR=1.9, 95 % CI:1.1-3.3, p=0.03). The most frequently detected serovar was Sokoine (27.89%), followed by Pomona (19.47%), Lora (18.26%), Grippotyphosa (17.98%), and Hebdomadis (8.16%), respectively. Conclusion: Our study suggests that further research should be conducted to find out factors of high seropositivity of leptospiral in Unguja. Vaccination of domestic animals with vaccines against local Leptospira strains should be encouraged, and rodent control and public awareness should be emphasized.
Interactive Election Campaigns on Social Media? Flow of Political Information Among Journalists and Politicians as an Element of the Communication Strategy of Political Actors

ABSTRACT This study examined politicians’ communication strategies with journalists in Poland within the context of the flow of information on social media (Facebook and Twitter). The main questions posed in the article concerned which entities used which patterns of information flow, and whether during election campaigns, politicians communicated with journalists on social media by reacting to the latter’s published posts. The study focused on pre-electoral periods of two consecutive parliamentary elections in Poland conducted in 2015 and 2019. The results showed that politicians rarely reacted to journalists’ Twitter posts. If they did, they most often used reactive communication. Additionally, political actors from opposition parties more intensely used information flow patterns with a higher level of interactivity in 2019 than in 2015.
Effect of correlated decay on fault-tolerant quantum computation

We analyze noise in the circuit model of quantum computers when the qubits are coupled to a common bosonic bath and discuss the possible failure of scalability of quantum computation. Speciﬁcally, we investigate correlated (super-radiant) decay between the qubit energy levels from a two-or three-dimensional array of qubits without imposing any restrictions on the size of the sample. We ﬁrst show that regardless of how the spacing between the qubits compares with the emission wavelength, correlated decay produces errors outside the applicability of the threshold theorem. This is because the sum of the norms of the two-body interaction Hamiltonians (which can be viewed as the upper bound on the single-qubit error) that decoheres each qubit scales with the total number of qubits and is unbounded. We then discuss two related results: (1) We show that the actual error (instead of the upper bound) on each qubit scales with the number of qubits. As a result, in the limit of large number of qubits in the computer, N → ∞ , correlated decay causes each qubit in the computer to decohere in ever shorter time scales. (2) We ﬁnd the complete eigenvalue spectrum of the exchange Hamiltonian that causes correlated decay in the same limit. We show that the spread of the eigenvalue distribution grows faster with N compared to the spectrum of the unperturbed system Hamiltonian. As a result, as N → ∞ , quantum evolution becomes completely dominated by the noise due to correlated decay. These results argue that scalable quantum computing may not be possible in the circuit model in a two-or three-dimensional geometry when the qubits are coupled to a common bosonic bath.
Quality of Life of Patients with Psoriasis: A Study of 54 Patients in Bamako

Background: Psoriasis is a chronic recurrent inflammatory dermatosis occurring in genetically predisposed individuals. Its dramatic nature of the lesions, successive flare-ups, and skin discomfort may affect the quality of life of patients and result in a depressive tendency. Objective: To assess the impact of psoriasis on the quality of life of patients and the relationship between disease severity and quality of life. Methods: A descriptive cross-sectional study was carried out in Bamako from September 3, 2018 to August 30, 2019. The Dermatology Life Quality Index (DLQI) and Psoriasis Area Severity Index (PASI) were used to assess quality of life and factors of disease severity. Inclusion was based on clinical and histopathologic criteria. Questionable cases were excluded from the study. Results: A total of 106 cases of psoriasis were identified out of 24,000 consultations, i.e., a hospital frequency of 0.44%. Of these cases, 54 were included. Males accounted for 70% of the cases, and the average age was 37. The distribution of the social repercussions of the disease was as follows: disability (68.52%), non-participation in ceremonies (20.37%), stigmatization (18.52%), isolation (12.96%), work stoppage (11.11%), and non-sharing of meals (9.26%). However, the reception by caregivers was satisfactory in 96.30% of cases, and 85% of patients scored ≤ 10 on DLQI, suggesting that they had good quality of life. Among the patients with psoriasis, 35.04%, 12.96%, and 50.00% had mild, moderate, and severe disease, respectively. Conclusion: Quality of life is multifactorial and has no direct association with the severity of psoriasis. Dermatologists must take into account the dimensions of symptoms and psychological state when managing patients with psoriasis.
Integrating Psychosocial Risks With Emerging Evidence for Borderline Personality Disorders in Adolescence: An Update for Clinicians

Borderline personality disorder (BPD) has seen significant advances in the knowledge of its developmental phenomenology during late childhood and adolescence. Various genetic, neurobiological, psychological, and social factors are implicated in the etiology of BPD. With emerging evidence on BPD development in adolescence, the review focused on recent literature to understand the role of psychosocial risk factors. The effects of adverse familial environment, physical, emotional, verbal, and sexual abuse, intergenerational transmission of psychopathological traits, maternal neglect and rejection, low socioeconomic status, bullying victimization, and dating violence were reviewed to understand their role in the development of BPD. BPD is a highly complex, serious, and enduring mental illness that has now been widely accepted to have symptoms that onset in early adolescence and could be diagnosed as early as age 12. BPD symptoms are stable, phenomenologically distinct from externalizing and internalizing disorders, and often present with co-occurring disorders, which during assessment could not explain impairments associated with BPD. New measures like the Difficulties in Emotion Regulation Scale (DERS), detailed developmental histories, understanding of psychosocial risks, shared decision-making, and psychoeducation could assist in early diagnosis and improvement of long-term outcomes. The implementation of evidence-based treatments is a challenge given higher costs and access to services; therefore, modifications in the treatment based on the core principles of these strategies should be considered. It is imperative to screen for psychosocial factors early in higher-risk groups. The assessment of familial factors, parental histories of psychopathologies, and histories of childhood abuse is important in context with impairing symptoms of clinical presentation and dimensional aspects of self-functioning. The role of family therapies, parental psychoeducation, and the integration of trauma-informed care approaches are important for clinical outcomes. Also, coordinated efforts with multiple stakeholders like school awareness programs, anti-bullying policies, legislation, and enforcement of existing laws might be instrumental in addressing issues related to victimization by peers.
Improving EFL Teaching in Chinese Universities: Perceptions of Teachers with Oversea Experience

This study aimed to investigate the perceptions of English teachers regarding the adverse effects of teaching English as a Foreign Language (EFL) in China, as well as their proposals for improving EFL instruction in the country. By exploring the views of experienced English teachers, this study provides valuable insights into how English as a Foreign Language pedagogy can be improved in China and other countries. The main research question is about the adverse effects of teaching English as a Foreign Language in Chinese higher education and the ways to improve its instruction. A thematic analysis of semi-structured interviews was conducted on a sample of 20 English teachers who possessed substantial experience teaching in Chinese higher education institutions. The participants’ teaching experience ranged from 3-20 years (SD = 5.3). The analysis involved the establishment of concordant codes and sub-codes, with the aid of two researchers and an external expert, to ensure the reliability and validity of the results. The findings showed that the teachers attributed English as a Foreign Language learners’ English deficiencies to the English teaching curriculum, self-directed learning, and the education system. Finally, the teachers suggested that self-directed learning skills and self-regulation were crucial for effectively applying language in authentic contexts. These findings have implications beyond China and are expected to enhance English pedagogy in other English as a Foreign Language countries. Thus, this research may contribute to improving the effectiveness of English teaching in China and other countries by providing a deeper understanding of the challenges and potential solutions associated with English as a Foreign Language instruction.
HYDRO-3D: Hybrid Object Detection and Tracking for Cooperative Perception Using 3D LiDAR

3D-LiDAR-based cooperative perception has been generating significant interest for its ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues that can be problematic for single-vehicle perception. Despite its effectiveness in overcoming various challenges, cooperative perception's performance can still be affected by the aforementioned issues when Connected Automated Vehicles (CAVs) operate at the edges of their sensing range. Our proposed approach called HYDRO-3D aims to improve object detection performance by explicitly incorporating historical object tracking information. Specifically, HYDRO-3D combines object detection features from a state-of-the-art object detection algorithm (V2X-ViT) with historical information from the object tracking algorithm to infer objects. Afterward, a novel spatial-temporal 3D neural network performing global and local manipulations of object-tracking historical data is applied to generate the feature map to enhance object detection. The proposed HYDRO-3D method is comprehensively evaluated on the state-of-the-art V2XSet. The qualitative and quantitative experiment results demonstrate that the HYDRO-3D can effectively utilize the object tracking information and achieve robust object detection performance. It outperforms the SOTA V2X-ViT by 3.7% in AP@0.7 of object detection for CAVs and can also be generalized to single-vehicle object detection with 4.5% improvement in AP@0.7.
Experimental determination of in-plane permeability of nonwoven thin fibrous materials

Knowledge of hydraulic properties is crucial for understanding and modeling fluid flow in thin porous media. In this work, we have developed a new simple custom-built apparatus to measure the intrinsic permeability of a single thin fibrous sheet in the in-plane direction. The permeability was measured for two types of nonwoven thin fibrous porous materials using either the water or gas phase. For each layer, the measurements have been done for different combinations of flow direction and fiber orientation. The permeability values measured using gas and water were approximately close to each other. The permeability of the two samples was found to be anisotropic and the principal permeabilities were determined based on the measurements.
Dialectical Logic K-Model: A Mathematical Model for Machine

An axiom system for dialectical logic K-model which based on Kirchhoff energy-method is established by author in the paper. The author describes that subjective-laws is the mirror imagine reflected from objective-laws and defines that the three-step which named by sensation, abstraction and thinking in artificial intelligence. At same time, describes that axiom system for dialectical logic K-model, in which contains such as logic-variable energy conservation law, Mozi’s principle( mini-max principle) and forbidden law, etc. In the axiom system also contain such as a continuous true-value-function system valued on interval and the K-graph for logic-variable. And describes the giving value method by matrix based on K-graph satisfied Kirchhoff laws to the logic variable. The author describes simply the linear and nonlinear logic variable system. And describes simply the logic variable involved three-dimension Euclidean space and topology networks space separately. Dialectical logic K-model would supply an computation algorithm idea for machine so that the machine is able to think by dialectical logic method, thus an important information-treated method maybe the dialectical logic.
Sinuous distortion of vortex surfaces in the lateral growth of turbulent spots

We extend the vortex-surface field (VSF), a Lagrangian-based structure-identification method, to study the structural evolution in Klebanoff-type boundary-layer transition. The VSF is constructed from the instantaneous vorticity fields in a series of sliding windows at different times and streamwise locations using the boundary-constraint method. The visualization of VSF isosurfaces displays the Lagrangian-like evolution of vortex surfaces consisting of vortex lines. The near-wall VSF isosurfaces evolve from wall-parallel planar vortex surfaces through a train of hairpin-like structures into turbulent spots. In the inception of turbulent spots, the train of hairpin-like bulges of vortex surfaces induces sinuous spanwise perturbations on the adjacent flank of lower wavy vortex surfaces, and then triggers the Kelvin-Helmholtz instability in the spanwise direction. The resultant sinuous distortion of vortex surfaces propagates in the spanwise direction, which can lead to the mass production of small-scale, skewed hairpin-like structures and the rapid lateral growth of turbulent spots. The streaky and hairpin-like structures have strong interactions in the present Klebanoff-type transition. On the other hand, these signature structures can be interpreted as different evolutionary geometries of the same set of VSF isosurfaces at different times and spatial regions, rather than considering them as two different elementary structures visualized by different structure-identification methods. Furthermore, the quantified distortion of near-wall vortex surfaces in the lateral growth of young turbulent spots is highly correlated to the surge of the skin-friction coefficient in the transition.
Free evolution of an incoherent mixture of states: a quantum mechanical approach to the van Cittert–Zernike theorem

We study the time evolution of an incoherent mixture of quantum states and demonstrate, in very simple terms, a quantum mechanical equivalent of van Cittert–Zernike theorem, which can be easily explained to Quantum Physics students with a basic knowledge of the density matrix theory. Finally, we exemplify this result by applying it to the quantitative analysis of the coherence of a beam of particles in atomic collisions.
Neural Embedding of an Iterative Deconvolution Algorithm for Motion Blur Estimation and Removal

This paper introduces a new learning-based approach to motion blur removal. A local linear motion model is first estimated at each pixel using a convolutional neural network (CNN) in a regression setting. These estimates are then used to drive an algorithm that casts non-blind, non-uniform image deblurring as a least-squares problem regularized by natural image priors in the form of sparsity constraints. This problem is solved by combining the alternative direction method of multipliers with an iterative residual compensation algorithm, with a finite number of iterations embedded into a second CNN whose trainable parameters are deconvolution filters. The second network outputs the sharp image, and the two CNNs can be trained together in an end-to-end manner. Our experiments demonstrate that the proposed method is significantly faster than existing ones, and provides competitive results with the state of the art on several synthetic and real datasets.