Miracle-dz/UniFAR-FTUs huggingface dataset:
Community-based treatment of cutaneous leishmaniasis using cryotherapy and miltefosine in Southwest Ethiopia: the way forward?

Background Cutaneous leishmaniasis (CL) is a common, yet massively underreported skin morbidity in Ethiopia. Most patients never seek treatment, as this is offered only in specialized treatment centers. Early diagnosis and treatment through decentralization is crucial to decrease transmission and to reach the NTD roadmap goals. However, little information is available on outcomes and challenges of community-based treatment initiatives. Methods A community-based prospective cohort study was conducted in Ochollo. Patients with clinically or microscopy confirmed CL were included. Cryotherapy was (to be) given weekly with at least four sessions for uncomplicated lesions, and miltefosine was given for 4 weeks for complicated lesions. Miltefosine adherence was assessed by counting pill strips. Clinical and patient-reported outcomes (dermatological life quality index and patient-global assessment) were assessed at month 6 (M6). Results A total of 107 patients were included, with a median age of 6 years. Two patients refused, and 15 could not be treated as they were too young (<4 years) for miltefosine. Giving cryotherapy to patients weekly was not feasible due to long wound healing times and required use of topical antibiotics. Only 52.4% of miltefosine patients finished >90% of their tablets by M1. Among 46 patients treated with cryotherapy, 24 (52.2%) were cured at M6, and 9 (19.6%) had substantial improvement. The cure rate was 16/39 (41.0%) for miltefosine with 28.2% (11/39) substantial improvement. Before treatment, more than half (57.8%) of patients reported that CL did not negatively impact their life, which significantly increased to 95.2% at M6. At this time, 61.7% of patients said their lesion was clear, which was 1% before treatment. Conclusion Our study is the first to identify the challenges and opportunities of miltefosine and cryotherapy for community treatment of CL. Although overall cure rates were lower than expected, patient-reported outcomes were generally positive and quite some patients had good improvement.
Cytotoxic Indole Diterpenoids from a Sphagneticola trilobata-Derived Fungus Aspergillus sp. PQJ-1

Two new indole diterpene derivatives, 5S-hydroxy-β-aflatrem (1) and 14R-hydroxy-β-aflatrem (2), along with one known analogue, 14-(N,N-dimethl-L-valyloxy)paspalinine (3), were isolated from the fermentation broth of the fungus Aspergillus sp. PQJ-1 derived from Sphagneticola trilobata. The structures of the new compounds were elucidated from spectroscopic data and ECD spectroscopic analyses. All the compounds (1–3) were evaluated for their cytotoxicity against A549, Hela, Hep G2, and MCF-7 cell lines. Compounds 1 and 2 exhibited selective inhibition against Hela cells. Further studies showed that 1 significantly induced apoptosis and suppressed migration and invasion in Hela cells. Moreover, 1 could up-regulate pro-apoptotic genes BAX and Caspase-3 and down-regulate anti-apoptotic genes Bcl-xL and XIXP.
A Disposable Electrochemical Sensor Based on Poly-5-Amino-1-Naphthol Modified Electrode for the Quantification of Tyramine

This work reports an electrochemical sensor for the quantification of the analyte, Tyramine. The 5-Amino-1-naphthol monomer is used to modify a PGE by electropolymerisation, which is used to develop the sensor. Utilizing SEM examination, Infrared Spectroscopy, cyclic voltammetry, and EIS, the morphological and electrochemical characterizations of the modified electrode were carried out. Using differential pulse voltammetry, the oxidation peaks of Tyramine is measured at potentials of 0.596 V. The linear range for Tyramine was observed from, 100 nM to 50 μM and 50 μM to 600 μM with an LOD of 89.8 nM with high sensitivity. As a result, food sample investigations may make use of this innovative, manufactured electrode.
What is Old Age? Elderly’s Perception and Understanding: A Qualitative Study

The current study focuses on the lives of the elderly people and tries to understand how they conceptualise old age and how they believe their lives to be as they get older. The study was conducted among two groups of old people—one living in their homes and the other in religious ashrams—to accomplish this goal. Participants were surveyed individually in 16 separate interviews for the data, which were then analysed using thematic analysis to provide themes. The findings indicate that, for the most part, both participant groups viewed old age as a time of physical and mental deterioration as well as changes in appearance brought on by ageing. Second, both participant groups saw this age as a time of eroding social ties. Participants also varied in how they felt about getting older. The elderly who resided in ashrams were positive and demonstrated their ability to have spiritual experiences; in contrast, the elderly who lived alone had a pessimistic outlook and believed that old age was the result of previous bad acts.
A Text-Mining Analysis of Research Trends in Animal-Assisted Therapy

Simple Summary Animal-assisted therapy (AAT) has recently gained increasing attention in various disciplines. However, understanding of the specific fields and topics being studied in this area remains limited, with most studies conducted using experimental approaches. Therefore, this study determined trends in AAT research based on an analysis of studies published via PubMed (n = 776 studies). Python programming was used for the analysis, employing techniques such as word cloud, n-gram, two-way word tree, and CONCOR (convergence of iteration correlation) analyses. Abstract Text-mining techniques were used to provide basic data to related policy stakeholders and academic researchers by collecting and analyzing research trends related to animal-mediated healing in a short time. A total of 776 studies were collected using the keyword “animal-assisted therapy” (AAT) in the search engine PubMed, which covers a wide range of topics related to health sciences, biomedical research, and health psychology. Four analysis methods were employed. “Dog” was the most commonly utilized animal in AAT. This study also identified individuals with autism spectrum disorder and post-traumatic stress disorder as the primary research participants. Finally, the terms “health care” and “blood pressure” were identified, indicating that AAT has a positive impact on improving blood pressure and enhancing heart rate. These findings demonstrate that AAT research is being actively pursued in various fields, such as social sciences, medicine, and psychology.
Association Between Hematologic Response and Change in Health-Related Quality of Life Among Patients with Light-Chain (AL) Amyloidosis

Purpose The purpose of this secondary data analysis was to examine the association between hematologic response and health-related quality of life (HRQoL) among patients with light-chain (AL) amyloidosis. Patients and Methods Data for this secondary analysis were collected through a non-interventional, longitudinal, online self-report survey of patients with AL amyloidosis. Patients completed an initial online survey, with follow-up surveys administered 1, 6, 12, 18, and 24 months after completion of the initial survey. The online survey included an assessment of patients’ most recent self-reported hematologic response status. Eight domains and 2 summary components of HRQoL were evaluated with the SF-36v2® Health Survey. A series of logistic regression models were used to examine the association between self-reported hematologic response at 24 months (dichotomized as new or maintained complete hematologic response; less than a complete response) and change in HRQoL from baseline to 24 months (dichotomized as meaningful worsening; improvement or preservation). Results For all measured domains of HRQoL except physical functioning, there was no statistically significant relationship between meaningful worsening in HRQoL and hematologic response status at 24 months. Patients without a complete hematologic response had an odds of experiencing meaningful worsening of HRQoL that was similar to that of patients with a complete hematologic response. Conclusion Among patients with AL amyloidosis, change in HRQoL was generally not associated with hematologic response. Achieving a complete hematologic response does not necessarily mean that a patient will experience increased or stable HRQoL. When defining treatment success, it is important to recognize that clinical markers such as hematologic response may not fully encapsulate the patient experience.
Design of Single-Layer Fractional-Slot Distributed Windings

Besides the usual winding design method based on the star of slots, the winding index is proposed in this article. In compliance with the presented counterexamples, it can be shown that the star of slots is unable to design most of single-layer fractional-slot distributed windings. In some restricted cases, it is possible to apply the introduced additional step to extract the winding layout from the double-layer fractional-slot distributed winding for the same number of phases, number of slots and number of pole pairs. Generally, the winding index can be applied to design symmetrical windings such as single-layer fractional-slot distributed windings and windings with a variable zone width. However, a systematic design procedure based on the winding index has not yet been suggested in literature, which is the focus of this article.
Exploring the feasibility of fine-tuning large-scale speech
 recognition models for domain-specific applications: A case study on Whisper
 model and KsponSpeech dataset

This study investigates the fine-tuning of large-scale Automatic Speech Recognition (ASR) models, specifically OpenAI’s Whisper model, for domain-specific applications using the KsponSpeech dataset. The primary research questions address the effectiveness of targeted lexical item emphasis during fine-tuning, its impact on domain-specific performance, and whether the fine-tuned model can maintain generalization capabilities across different languages and environments. Experiments were conducted using two fine-tuning datasets: Set A, a small subset emphasizing specific lexical items, and Set B, consisting of the entire KsponSpeech dataset. Results showed that fine-tuning with targeted lexical items increased recognition accuracy and improved domain-specific performance, with generalization capabilities maintained when fine-tuned with a smaller dataset. For noisier environments, a trade-off between specificity and generalization capabilities was observed. This study highlights the potential of fine-tuning using minimal domain-specific data to achieve satisfactory results, emphasizing the importance of balancing specialization and generalization for ASR models. Future research could explore different fine-tuning strategies and novel technologies such as prompting to further enhance large-scale ASR models’ domain-specific performance.
Complex Vector-Based Stability Analysis of the High-Speed Electric Motor Emulator

Electric motor emulator (EME) is being increasingly utilized during the development and test process of motor drive units (MDUs) for electric vehicle applications. However, the high-speed instability issue, without sufficient corresponding theoretical analysis currently, limits its further application. Hence, a comprehensive modeling and stability analysis approach for the high-speed EME is presented here to enrich the understanding of this special power hardware-in-the-loop testing scenario. A detailed model of the EME testing system with MDU included is developed in complex vector (CV) form for the first time, the poles loci of which are then plotted for accurately predicting the system stability. Influences of various factors including control bandwidth, time delay, and control structure on the speed limit of the EME are investigated, with parameter nonlinearities in the motor model also considered to demonstrate the extended applicability of the CV-based modeling approach. The maximum error between the predicted speed limits and the experimental results is less than 20 Hz, and the EME running up to 800 Hz is also experimentally achieved by adopting the internal model control structure, both validating the effectiveness and accuracy of the presented CV modeling and stability analysis approach for the high-speed EME.
The nature of "quartz eyes" hosted by dykes associated with Au-Bi-As-Cu, Mo-Cu, and base-metal-Au-Ag mineral occurrences in the Mountain Freegold region (Dawson Range), Yukon, Canada

*Corresponding author Various origins have been assigned to rounded to subrounded and elliptical quartz megacrysts (“quartz eyes”) in dyke rocks associated with mineral deposits/occurrences worldwide. An exact interpretation of their nature is likely to tightly constrain the petrogenesis of the host rocks, and by association may be critical in evaluating genetic models for spatially associated ore minerals. ChromaSEM-CL imaging and electron probe microanalysis (EPMA) of “quartz eyes” within porphyry dykes associated with Au–Bi–Cu–As, Mo–Cu, and base-metal–Au–Ag mineral occurrences across the Northern Freegold Resources (NFR) property in the Dawson Range of Yukon Territory, Canada, reveals that the cathodoluminescence (CL) response of quartz is a function of its trace-element abundance(s). Bright blue luminescent growth zones are in most cases richer in Fe (up to 8839 ppm) and Ti (up to 229 ppm) relative to CL dark growth zones, with up to 41 times lower concentration of these elements. Assuming a TiO 2 = 1, the Ti-poor dull cores consistently recorded lower temperatures (mostly < 600 °C) compared to Ti-rich brighter blue rims (up to 860 °C). This suggests either overgrowth on xenocrystic cores or an increase in crystallization temperature. The temperature rise likely reflects magma mixing, and is therefore consistent with the phenocryst/phenoclasts having formed in a magma chamber rather than by secondary processes. Also, the great variability in composition and temperature of crystallization and/or reequilibration of brighter blue growth zones of two quartz crystals (660 °C and 855 °C) from a single sample suggests that multiple episodes of magma mixing and incremental growth of parental magma chambers occurred. Some “quartz eyes” are overprinted by variably oriented, bifurcating, and anastomosing fluid migration trails (“splatter and cobweb textu res”) of red to reddish-brown CL quartz that is in most cases of low-temperature origin, and trace-elements poor, thus implying interaction of deuteric fluids with quartz phenocrysts/phenoclasts. The presence of “quartz eye” crystals with broken and angular blue cores, overgrown by oscillatory-zoned rims in which the zoning pattern does not correspond with the crystal boundaries, further suggests that some quartz crystals had been explosively fragmented (phenocrysts) and are now hosted in a recrystallized tuffisitic groundmass. The volatile exsolution that likely accompanied both magma mixing and decompression (as suggested by dendritic quartz, fine-grained recrystallized tuffisitic groundmass, and corroded quartz grains) was probably an important process that could have favoured the ore formation.
High Gain and Low Power K-Band LNA With Reversed Current-Reuse Topology

This letter reports a <inline-formula> <tex-math notation="LaTeX">${K}$ </tex-math></inline-formula>-band low-noise amplifier (LNA) for millimeter-wave (mm-Wave) phased-arrays. A reversed three-stage current-reuse topology with <inline-formula> <tex-math notation="LaTeX">$g_{m}$ </tex-math></inline-formula>-boost technique is proposed, which breaks the dilemma of traditional common-gate (CG) LNA facing current limitation and achieves high gain with low power consumption. The proposed LNA is fabricated with a standard 55-nm CMOS process. Measurement results show that 21.8 dB peak gain is achieved within 2.1 GHz bandwidth, while the noise figure (NF) is 4.04 dB. Benefiting from the reversed current-reuse structure, the power consumption of the LNA is only 3.05 mW from a uniform 1.2 V power supply.
Igniting the IT Flame: a Study on IT Skills and Knowledge in Accounting Programs Among Graduating Students in Oman

Purpose: Accountants have always been information technology (IT) users, and the case for increasing IT skills and Knowledge by accounting practitioners and graduates is stronger than ever. In business, IT is widely used and is getting more so. Without IT tools, achieving users' requirements for financial statements and other management information systems reports is no longer possible. Academics and practitioners have recognized the significance and IT (skills and Knowledge) in achieving success in the competitive business environment. Accountants who work for businesses, IT (skills and Knowledge) have necessitated the development of a new type of accountant, which is the focus of this study. Hence, this study aims to know the relationship between IT (skills and Knowledge) of accounting graduating students in Oman and university accounting programs. Design/ Methodology/ Approach: The units of analysis for this study are graduating students in Oman. It used a survey for the year 2022 to study the effect of IT (skills and Knowledge) and accounting programs among graduating students in Oman. The present research tested its hypotheses and utilized its variables using the PLS software for data analysis. Findings: The result revealed that IT Knowledge was significant with Accounting Programs where it was p<0.01, t ˃2.33. This result indicates that IT Knowledge has a significant impact on Accounting Programs. Further, the result revealed that IT Skills were also significant in Accounting Programs where it was p< 0.01, t=2.434. This result indicates that IT Skills have a significant impact on Accounting Programs.
New absolute paleointensity results from the Parana Magmatic Province (Uruguay) and the Early Cretaceous geomagnetic paleofield

Thellier paleointensity experiments are carried out on the Early Cretaceous Arapey Formation, which belongs to the Parana Magmatic Province (PMP) in northern Uruguay. Twenty‐seven samples out of 225 analyzed yield reliable absolute intensity determinations. For these samples the NRM fraction f used for determination ranges between 0.33 to 0.83 and the quality factor q ranges from 4.5 to 14.1, being generally greater than 5. The flow‐mean paleointensity values obtained in this study range from 16.3 ± 2.3 to 41.5 ± 3.8 μT, with corresponding virtual dipole moments (VDMs) from 3.4 ± 0.6 to 8.2 ± 0.8 (1022 Am2). This corresponds to mean VDM value of 6.4 ± 2.3 × 1022 Am2. 40Ar/39Ar dating on the PMP sequence by Feraud et al. (1999) gave a mean age of 132.2 ± 0.5 Ma. Our results in conjunction with previous studies (Kosterov et al., 1998; Goguitchaichvili et al., 2002) suggest that the paleostrength during the early Cretaceous might be as variable and strong as Brunhes data and not anomalously low as previously suggested. The scatter observed in our study is similar to recent findings by Granot et al. (2007) for the Troodos Ophiolite.
From Knowledge-Oriented Leadership to Information Technology Project Success: Modelling the Mediating Role of Team Empowerment

By applying the concept from the Resource Based View (RBV) and Social Identity Theory (SIT), this endeavor aims to determine the influence of Knowledge-Oriented Leadership (KOL) on Project Success (PS). This study further ascertains the mediating role of team empowerment in the relationship between KOL and PS. The data were gathered from 207 project team professionals working in the Information Technology (IT) sector of Pakistan. This endeavor utilized Partial Least Squares - Structural Equation Modeling to substantiate the direct and mediating effects. The result indicated that KOL significantly influences project success. Moreover, the result further validated that team empowerment mediates the relationship between KOL and PS. There is a deficiency of an empirical investigation on the relationship between KOL and PS in the context of the evolving republic. This study makes a substantial contribution to the field of IT project management by demonstrating that KOL impacts PS while team empowerment mediates this relation. This is one of the primitive endeavors that explores the inter-relationship amongst KOL, PS, and team outcome.
The Colonization of Eastern Siberia: an Evaluation of the Paleolithic Age Radiocarbon Dates

This paper critically evaluates the published radiocarbon data obtained for 46 Eastern Siberian Paleolithic sites (older than 8000 BP). The sites were characterized by both radiocarbon age and geographic location (i.e. latitude and longitude), and rated according to the materials dated and their stratigraphic context. Multiple regression statistics (r2,P[two tails]) were used to examine the relationships between the variables age and location. The results were then illustrated as three-dimensional linear surface plots. A plot based on the bulk of14C dates (N=150) shows that the age of sites decrease in a west-to-east direction. A plot created from the highest rated14C dates (N=63) demonstrates that the principal chronocline is from south-to-north. Statistically, both stratigraphic context and sample composition affect the accuracy of radiocarbon dates. Age determinations made on charcoal collected from undisturbed sediments are the most reliable. This new approach provides a more precise view of human colonization and may be used to examine time transgressive cultural dispersion elsewhere.
Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson’s Disease from Full-Body Kinematics

Characterizing motor subtypes of Parkinson’s disease (PD) is an important aspect of clinical care that is useful for prognosis and medical management. Although all PD cases involve the loss of dopaminergic neurons in the brain, individual cases may present with different combinations of motor signs, which may indicate differences in underlying pathology and potential response to treatment. However, the conventional method for distinguishing PD motor subtypes involves resource-intensive physical examination by a movement disorders specialist. Moreover, the standardized rating scales for PD rely on subjective observation, which requires specialized training and unavoidable inter-rater variability. In this work, we propose a system that uses machine learning models to automatically and objectively identify some PD motor subtypes, specifically Tremor-Dominant (TD) and Postural Instability and Gait Difficulty (PIGD), from 3D kinematic data recorded during walking tasks for patients with PD (MDS-UPDRS-III Score, 34.7 ± 10.5, average disease duration 7.5 ± 4.5 years). This study demonstrates a machine learning model utilizing kinematic data that identifies PD motor subtypes with a 79.6% F1 score (N = 55 patients with parkinsonism). This significantly outperformed a comparison model using classification based on gait features (19.8% F1 score). Variants of our model trained to individual patients achieved a 95.4% F1 score. This analysis revealed that both temporal, spectral, and statistical features from lower body movements are helpful in distinguishing motor subtypes. Automatically assessing PD motor subtypes simply from walking may reduce the time and resources required from specialists, thereby improving patient care for PD treatments. Furthermore, this system can provide objective assessments to track the changes in PD motor subtypes over time to implement and modify appropriate treatment plans for individual patients as needed.