Miracle-dz/UniFAR-FTUs huggingface dataset:
“Can you tell me about yourself?” The impacts of chatbot names and communication contexts on users’ willingness to self-disclose information in human-machine conversations

ABSTRACT Chatbots provide functional and social support in various contexts. They are often designed with humanlike features. This study examines how chatbots’ assigned names (humanlike vs. neutral vs. machinelike) and communication contexts (functional vs. social) influence users’ willingness to disclose personal information. We conducted a 3 × 2 “between-subjects” online experiment with random assignments of 299 participants. The results showed that a functional communication context elicited greater participants’ willingness to disclose information, but the impact of chatbot names was not significant. These findings provide an extended understanding of the Computers Are Social Actors paradigm and may inspire the exploration of conditional effects in privacy research. The practical implications for context-aware designs are discussed.
Developing and evaluating a professional development plan pilot for doctors in unaccredited posts: A pilot study

Purpose In Australia, doctors from their third-year post graduation who are not on specialist training pathways frequently work in unaccredited posts with varying amounts of education and support. In 2019, the New South Wales Ministry of Health (NSW Health) and the Health Education and Training Institute (HETI) agreed on a pilot process for these doctors to develop a professional development plan (PDP). The pilot aimed to implement the process and evaluate its feasibility and acceptability. Methodology/approach The process was piloted at four sites in 2021. The evaluation methodology was informed by the non-adoption, abandonment and challenges to scale-up, spread and sustainability (NASSS) framework with data derived from site meetings, interviews with doctors in unaccredited positions and PDP supervisors, and analysis of PDPs and time required. Findings A total of 42 doctors undertook the PDP process, of whom 25 were interviewed. Of the 28 supervisors recruited, 13 were interviewed. Three sites reported successful implementation, with most doctors having a PDP in progress. Despite challenges associated with the diversity of the workforce and workplaces, all sites were supportive of the process being rolled out with appropriate resourcing. Research implications The research findings indicated that embedding a PDP process more widely across the state will be complex due to the diversity of the workforce and clinical workplaces. Practical implications The PDP process, while acceptable and feasible, needs to adapt to local circumstances, including the workforce, supervisory capacity and experience, individual doctor needs and available resources. Originality The evaluation supports the need for a supported PDP process for doctors in unaccredited positions. Limitations The findings may not be transferable to all NSW Health facilities or to other states or territories. Doctors who consented to be interviewed were more likely to be positive about the process than those who did not. The study did not include a cost evaluation or explore cost-effectiveness due to the short time frame.
Chemo-Free Treatment Using Anti-PD-1 Antibodies with Lenvatinib in Unresectable Gallbladder Cancer: PD-L1 May Be a Potential Biomarker for a Better Outcome

Background: Recently, anti-PD-1 antibodies plus lenvatinib has been administered in a series of solid tumors. Yet, the efficacy of chemo-free treatment of this combined therapy has seldom been reported in gallbladder cancer (GBC). The aim of our study was to initially evaluate the efficacy of the chemo-free treatment in unresectable GBCs. Methods: We retrospectively collected the clinical data of unresectable GBCs treated using chemo-free anti-PD-1 antibodies plus lenvatinib in our hospital from March 2019 to August 2022. The clinical responses were assessed, and PD-1 expression was evaluated. Results: Our study enrolled 52 patients, with the median progression-free survival being 7.0 months and the median overall survival being 12.0 months. The objective response rate was 46.2% and the disease control rate was 65.4%. The expression of PD-L1 in patients with objective response was significantly higher than those with progression of disease. Conclusions: For patients with unresectable GBC, when not eligible for systemic chemotherapy, chemo-free treatment using anti-PD-1 antibodies with lenvatinib may become a safe and rational choice. The expression of PD-L1 in tumor tissues may be correlated to the objective response, and thus is expected to be a predictor of efficacy, and further clinical studies are certainly needed.
Behavioural Impacts of Workers on Performance: The Case of Malaysian Oil Palm Plantation

Malaysia is the second world’s largest oil palm producer after Indonesia, accounting for about 30% of the total producers. The palm oil industry also contributed significantly to the Malaysian economy as the highest contributor to the national gross domestic product (GDP) for the agriculture sector. As a huge industry in Malaysia, the palm oil industry relies heavily on workers because of the manual activities that require them to execute, like harvesting and collecting fresh fruit bunches (FFB). At the plantation level, dealing with a group of workers can be challenging owing to various issues relat ed to workers’ behaviour such as workers’ efficacy, initiative, motivation, dependability, and cooperativeness. Recognising workers’ behaviour is vital because it will impact how well the plantation performs. Thus, this study aimed to examine the impacts o f workers’ behaviour on Malaysian oil palm plantation performance. A structured questionnaire was used during in-depth interviews with 83 Malaysian oil palm plantation executive staff using simple random sampling method. The data were analysed using descriptive analysis, mean ranking analysis, and multiple regression analysis. The results revealed that workers’ efficacy, initiative, motivation, dependability, and cooperativeness significantly impact the performance of Malaysian oil palm plantations. From all five variables, motivation was the most significant predictor identified as the highest contributing factor that impacted the Malaysian oil palm plantation’s performance. The findings showed an important indication that the plantations need to acknowledge and handle their workers’ behaviour to achieve greater performance. The framework of this research can be extended to the oil palm smallholders to capture the overall scenario of the palm oil industry players and their contribution to the Malaysian economy.
Analysis of the Impact of Mobile-Based Property Management Applications Implementation on Service Satisfaction for MiddleClass Apartment in Jakarta

Information technology has become an integral part of an organization. Information technology offers business processes that are more effective and efficient when compared to manual work handling. The apartment management is no exception. The number of residents in an apartment requires the manager to be able to carry out its business processes so that all stakeholders in the organization can be served properly. The Mobile-based Property Management application is one manifestation of the use of information technology in the management of middle-class apartments in the Jakarta area. The implementation of this application is intended to be able to provide services to apartment residents to be more effective and efficient. From the utilization of the implementation of the Mobile-based Property Management application, an analysis was carried out using the UTAUT method to see the impact of the implementation of the Mobile-based Property Management application on user acceptance and in the end could increase the satisfaction of application users, namely the residents and staff of the Apartment Manager/Building Management. The results analyzed in this study are Performance expectancy, effort expectancy, social influence, and Facilitating conditions for the implementation of Mobile-based Property Management applications using the UTAUT framework. With the UTAUT method, it will be seen how much satisfaction level of application users are with the implementation of Mobile-based Property Management in middle-class apartments in Jakarta.
Identification and validation of diagnostic signature genes in non-obstructive azoospermia by machine learning

Non-obstructive azoospermia (NOA) is a common cause of male infertility, and no specific diagnostic indicators exist. In this study, we used human testis datasets GSE45885, GSE45887, and GSE108886 from GEO database as training datasets, and screened 6 signature genes (all lowly expressed in the NOA group) using Boruta algorithm and Lasso regression: C12orf54, TSSK6, OR2H1, FER1L5, C9orf153, XKR3. The diagnostic efficacy of the above genes was examined by constructing models with LightGBM algorithm: the AUC (Area Under Curve) of both ROC and Precision-Recall curves for internal validation was 1.0 (p < 0.05). For the external validation dataset GSE145467 (human testis), the AUC of its ROC curve was 0.9 and that of its Precision-Recall curve was 0.833 (p < 0.05). Next, we confirmed the cellular localization of the above genes using human testis single-cell RNA sequencing dataset GSE149512, which were all located in spermatid. Besides, the downstream regulatory mechanisms of the above genes in spermatid were inferred by GSEA algorithm: C12orf54 may be involved in the repression of E2F-related and MYC-related pathways, TSSK6 and C9orf153 may be involved in the repression of MYC-related pathways, while FER1L5 may be involved in the repression of spermatogenesis pathway. Finally, we constructed a NOA model in mice using X-ray irradiation, and quantitative Real-time PCR results showed that C12orf54, TSSK6, OR2H1, FER1L5, and C9orf153 were all lowly expressed in NOA group. In summary, we have identified novel signature genes of NOA using machine learning methods and complete experimental validation, which will be helpful for its early diagnosis.
Respiratory Rate Estimation on Embedded System

We present the design, implementation, and results of an algorithm for respiratory rate (RR) estimation using respiratory-induced frequency, intensity, and amplitude variation calculated from the infrared (IR) channel of the SEN-15219 board for photoplethysmography (PPG) acquisition. First, the algorithm was developed in Python (on a PC) using synthetic signals and publicly available respiration and PPG data. We also include a graphical user interface to process data from sensors and display vital signs. Later, we ported the algorithm to an MSP432P401R microcontroller to complete our wearable prototype. Results are promissory and show that RR estimation can be performed on the selected platform with our proposed Fourier Product (FP) method, which results in a Mean Absolute Error of 4.1 using 16-s windows of IR-PPG signals.
Mode-Insensitive Wired Communication Method Based on MIMO Using Multimode Transmission Lines

This letter proposes a novel mode-insensitive wired communication method based on multiple input multiple output (MIMO) using multimode transmission lines. First, multiple eigenmodes of the transmission line are equivalent to multiple independent paths, exempting the consideration of modes purity (the share of all power that the mode accounts for) in excitation and transmission and thus simpler structure designs. Second, the multimode transmission line, being a waveguide or any guided wave structure, can provide a time-invariant channel. As a result, low overhead is required. Benefiting from the features, the proposed method can effectively improve communication capacity and reduce mode sensitivity. To prove the concept, simulations are conducted with the dielectric-filled waveguide adopted as the multimode transmission line.
The Relationship between Plantar Sensation and Functional Parameters in Individuals with Hallux Valgus: A Pilot Study

Objective: Hallux valgus (HV), one of the most common forefoot deformities, may increase mechanical loading on the lateral side of the foot, leading to hyperkeratosis in these areas and deterioration of plantar sensation. Thus, the objective of this study was to investigate the relationship between plantar sensation and clinical and functional parameters, such as HV severity, foot posture, gait, and balance in individuals with HV. Materials and Methods: A total of 29 participants were recruited for the study. The following measurements were taken: the HV angle with a universal goniometer, hallux pain with the Visual Analog Scale, plantar cutaneous sensation with Semmes-Weinstein monofilaments, clinical status of the forefoot with the American Orthopaedic Foot and Ankle Society (AO-FAS) Hallux-Metatarsophalangeal (MTP)-Interphalangeal (IP) Scale, foot posture with the Foot Posture Index (FPI), postural sway with a force platform, and temporospatial gait parameters with an electronic walkway. Spearman correlation analysis was applied to investigate the relationship between the parameters. Results: Although age and plantar forefoot sensation were moderately correlated (p=001; r=0.63), the HV angle and pain intensity were not associated with any of the sensory parameters (p>0.05). Conclusion: The present study showed that plantar forefoot sensation worsened as the patients’ age increased. It is believed that pressure neuropathy may be the reason why HV patients’ forefoot sensitivity deteriorates with age in particular.
Algorithm of image definition evaluation based on lifting wavelet transform

A new measure based on lifting wavelet transform was proposed for the image noise by the energy of high-frequency and low-frequency subbands after the second-level decomposition.The performance of this new measure was compared with the classic and popular focus measures variance,laplace and another wavelet-based high frequency focus measure.Detailed simulations as well as real data show that the new algorithm can measure image definition correctly with the highest sensitivity in noisy condition while enhancing computation efficiency and are more accurate,stable and reliable.
A Machine Learning–Based Approach to Time-series Wave Identification in the Solar Wind

The Wind spacecraft has yielded several decades of high-resolution magnetic field data, a large fraction of which displays small-scale structures. In particular, the solar wind is full of wavelike fluctuations that appear in both the field magnitude and its components. The nature of these fluctuations can be tied to the properties of other structures in the solar wind, such as shocks, that have implications for the time evolution of the solar wind. As such, having a large collection of wave events would facilitate further study of the effects that these fluctuations have on solar wind evolution. Given the large volume of magnetic field data available, machine learning is the most practical approach to classifying the myriad small-scale structures observed. To this end, a subset of Wind data is labeled and used as a training set for a multibranch 1D convolutional neural network aimed at classifying circularly polarized wave modes. Using this algorithm, a preliminary statistical study of 1 yr of data is performed, yielding about 300,000 wave intervals out of about 5,000,000 solar wind intervals. The wave intervals come about more often in the fast solar wind and at higher temperatures, and the number of waves per day is highly periodic. This machine learning–based approach to wave detection has the potential to be a powerful, inexpensive way to catalog waves throughout decades of spacecraft data.
DIDR-Net: a sparse-view CT deep iterative reconstruction network with an independent detail recovery network

Sparse-view CT is an effective method to reduce X-ray radiation dose in clinical CT imaging. However, sparse view image reconstruction is still challenging due to highly undersampled data. To this end, we propose a new deep learning-based reconstruction model of CT images, called DIDR-Net. Unlike existing methods, DIDR-Net employs a dual network structure, including an iterative reconstruction sub-network and a detail recovery sub-network. The iterative reconstruction sub-network expands the FISTA (Fast Iterative Soft Thresholding Algorithm) into a deep network, utilizing learnable nonlinear sparse transform and shrinkage thresholding to improve reconstruction performance. To avoid loss of image details while removing artifacts, we design a detail recovery sub-network. Specifically, this sub-network captures the local details and global information of the initial image through local and global branches, and adaptively fuses the results of these two branches through a fusion module. DIDR-Net generates both the initial reconstruction map and the detail feature map in a parallel manner, and finally fuses the two sides to reconstruct a high-quality CT image. Experimental results on the AAPM public dataset show that DIDR-Net exhibits better performance in both streak artifact removal and detail structure preservation compared to other advanced reconstruction algorithms.
Achieving “No Hunger” through the implementation of the Sustainable Food Reserve Garden Program by the Women Farmers’ Group

Indonesia is committed to supporting the achievement of (SDGs). To achieve No Hunger (SDGs’ 2), The Agency for Food Security of Indonesia had been implemented the program Pekarangan Pangan Lestari (P2L) or Sustainable Food Reserve Garden. This paper is presenting the results of the program’s implementation, through an evaluation survey conducted from February to May 2021. The number of samples was 431 out of 6.745 women farmers’ groups involved in the P2L. The samples were classified into three groups namely: grower (1st stage), development (2nd stage), and continuous development (3rd stage). The indicators for evaluating the achievement of the program were: Food Availability (FAv), Food Accessibility (FAc), Food Utilization (FUt), and Nutritional Status (NS). The primary data were collected through a structured questionnaire guideline in google form, focus group discussion, and direct calling, while secondary data was from the related institutions. The results showed that the FAv in the 1st stage, 2nd stage, and 3rd stage was 70%, 66%, and 63% respectively. The FAc after the program increased by 36%, 29%, and 33% for the 1st, 2nd, and 3rd stages respectively. The FUt increased in food diversity and quality by 87%, 82%, and 77% for the 1st, 2nd, and 3rd stages, respectively. While NS increased by 60%, 98%, and 95% for the 1st, 2nd, and 3rd stages. This study concluded that the performance of P2L was a success in the reduction of severe malnutrition, therefore replication of P2L should be implemented in food reserve-widened areas of Indonesia to achieve no hunger and food security.
Contribution of women labor to orange farmers income in tebas sub-district sambas regency

The role of women workers in horticultural farming is quite large. Women are not only housewives but also make a real contribution to farming activities and household income. This study aims to determine and analyze the outpouring of labor and the contribution of women’s income to citrus farmers in Tebas District, Sambas Regency, West Kalimantan. The method used in this research was a descriptive analytic method. Data analysis to determine the amount of labor and the amount of contribution by using quantitative analysis. Determination of the sample in this study using purposive sampling technique. Interviews were conducted on 40 female farmer households. The results of the study show that: (1) The labor force of women farmers for citrus farming is 85,97 HOK/MT, (2) The income of women farmers in citrus farming activities in Tebas District is Rp1.328. 000/year, (3) Income women non farming in citrus farming activities is Rp1.205. 000/year, 4) The contribution of women’s income to household income is 4,3%.
A MODEL FOR THE ELECTRICALLY CHARGED CURRENT SHEET OF A PULSAR

Global-scale solutions for the magnetosphere of a pulsar consist of a region of low-lying, closed magnetic field near the star, bounded by opposite-polarity regions of open magnetic field along which the pulsar wind flows into space. Separating these open-field regions is a magnetic discontinuity—an electric current sheet—consisting of generally nonneutral plasma. We have developed a self-consistent model for the internal equilibrium structure of the sheet by generalizing the charge–neutral Vlasov/Maxwell equilibria of Harris and Hoh to allow for net electric charge. The resulting equations for the electromagnetic field are solved analytically and numerically. Our results show that the internal thermal pressure needed to establish equilibrium force balance, and the associated effective current-sheet thickness and magnetization, can differ by orders of magnitude from the Harris/Hoh charge–neutral limit. The new model provides a starting point for kinetic or fluid investigations of instabilities that can cause magnetic reconnection and flaring in pulsar magnetospheres.
Management of Moderate-to-highly Exuding Leg Ulcers with Superabsorbent Wound Dressings versus Foams Dressings in Spanish Settings: An Early-stage Cost-effectiveness and Budget-impact Analyses

This study endeavors to ascertain the cost-effectiveness and utility of employing SAPs in comparison to foam dressings for the management of moderate-to-highly exuding leg ulcers within Spanish healthcare contexts. Furthermore, it aims to conduct an associated budget-impact analysis for the Spanish National Health Service, thereby considering the financial implications relevant to the implementation of these interventions. The economic evaluation and budget impact model adhered to Spanish and international guidelines. with reporting quality of economic evaluation assessed using the CHEERS checklist and the Drummond checklist for ensuring adequate conduct. The evidence synthesis process involved identifying and appraising the most recent and highest level of evidence research. The identified data inputs were adjusted in accordance with recommended practices for research quality and incorporated into a mathematical model that accounted for the natural history of chronic leg ulcers. Based on the results of this preliminary health economic analysis, utilizing SAP wound dressings instead of foam dressings in patients with moderate-to-highly exuding leg ulcers within the Spanish Health Care System is projected to yield favorable outcomes. The analysis predicts an enhanced healing rate of 2.33%, an incremental improvement in health-related quality of life (HRQoL) by 0.129 quality-adjusted life weeks (QALWs), and a total direct cost reduction of 570 Euros per patient over a six-month period. Extrapolating these findings to a scenario where all leg ulcers are treated with SAPs rather than foam dressings, the Spanish NHS could potentially achieve an annual cost savings of 43.46 million of Euros. These clinical outcomes align with current treatment guidelines that advocate for superabsorbent wound dressings as the primary choice for managing moderate-to-highly exuding leg ulcers.