Miracle-dz/UniFAR-FTUs huggingface dataset:
Trauma Exposure and Transdiagnostic Distress: Examining Trauma Exposure and Transdiagnostic Distress: Examining Shared and PTSD-Specific Associations Shared and PTSD-Specific Associations

Dimensional models of psychopathology suggest that the causes and consequences of psychopathology are attributable to a combination of syndrome specific and transdiagnostic features. There is considerable evidence that trauma exposure confers risk for a wide range of psychiatric conditions, yet no previous work has specifically examined the higher-order effects of trauma exposure within a structural model. We examined transdiagnostic and PTSD-specific associations with multiple forms of trauma exposure within a nation-wide sample (N = 1,649; 50% female) of military Veterans over-selected for posttraumatic stress disorder (PTSD). A higher-order Distress variable was estimated using PTSD, major depressive disorder (MDD), and generalized anxiety disorder (GAD) symptoms as indicators. A structural equation model spanning three measurement time points over an average of 3.85 years was then used to examine the unique roles of higher-order Distress and PTSD residual variance in accounting for the relations between trauma exposure and psychosocial impairment. Results suggest that the association between trauma exposure and PTSD symptoms is primarily mediated by higher-order Distress, but that PTSD severity does have a significant association with trauma exposure independent of Distress. Both higher-order Distress and PTSD-specific variance were necessary to account for the association between trauma exposure and future functional impairment. This work suggests there may be shared etiology linking cumulative trauma exposure and a range of internalizing symptoms. Continued application of higher-order dimensional models is needed to provide a more comprehensive understanding of the consequences of trauma exposure.
Evaluating ChatGPT-generated Textbook Questions using IRT

We aim to test the ability of ChatGPT to generate mathematics assessment questions, given solely a summarization of textbook content. We take a psychometric measurement methodological approach to comparing the qualities of questions, or items, generated by ChatGPT versus gold standard questions from a published textbook. We use Item Response Theory (IRT) to analyze data from 207 test respondents answer questions from OpenStax College Algebra. Using a common item linking design, we find that ChatGPT items fared as well or better than text-book items, showing a better ability to distinguish within the moderate ability group and had higher discriminating power as compared to OpenStax items (1.92 discrimination for ChatGPT vs 1.54 discrimination for OpenStax).
Modified Chaishao Liujunzi Decoction inhibits bile acid-induced gastric intestinal metaplasia: from network prediction to experimental verification

Modified Chaishao Liujunzi Decoction (MCLD) is a traditional Chinese medicine formula that is used mainly to improve clinical symptoms, alleviate gastric mucosal inflammation, and improve gastric mucosal lesions in patients with gastric intestinal metaplasia (GIM). GIM is considered a precancerous gastric cancer (GC) lesion (PLGC) and exploring effective intervention measures for GIM is of great importance for the prevention of GC. The purpose of this study was to reveal the potential molecular mechanism of MCLD in improving GIM induced by bile acid (BA) using network pharmacology and experimental validation. Through network pharmacology, we speculated that MCLD could act on GIM by driving the epidermal growth factor receptor (EGFR)/PI3K/AKT/mammalian target of rapamycin (mTOR) pathway. After that, we used deoxycholic acid (DCA) to treat GES-1 cells to simulate BA-induced GIM and observed the effects of MCLD treatment. The results indicate that MCLD can significantly inhibit DCA-induced cell proliferation and down-regulate the expression of pro-inflammatory cytokines and intestinal-specific markers. At the same time, MCLD also negatively regulated the expression of genes and proteins of the EGFR/PI3K/AKT/mTOR pathway. Combination with EGFR agonists and inhibitors suggested that MCLD may improve GIM by inhibiting the EGFR/PI3K/AKT/mTOR pathway, which may be related to its inhibition of DCA-induced cell proliferation through this pathway. In conclusion, MCLD may improve BA-induced GIM through the EGFR/PI3K/AKT/mTOR pathway, as predicted by network pharmacology, and is a potential Chinese medicine prescription for the treatment or reversal of GIM.
A Pilot Study on Argument Simpliﬁcation in Stance-based Opinions

Prior work has investigated the problem mining arguments from online reviews by classifying opinions based on the stance expressed explicitly or implicitly. An implicit opinion has the stance left unex-pressed linguistically while an explicit opinion has the stance expressed explicitly. In this paper, we propose a bipartite graph-based approach to relate a given set of explicit opinions as simpliﬁed arguments for a given set of implicit opinions using three diﬀerent features (a) sentence similarity, (b) sentiment and (c) target. Experiments are carried out on a manually annotated set of explicit-implicit opinions and show that unsupervised sentence representations can be used to accurately match arguments with their corresponding simpliﬁed versions.
The Influence of Social Support in PROMs of Patients with COPD in Primary Care: A Scoping Review

Chronic obstructive pulmonary disease (COPD) is a prevalent and multidimensional disease with symptoms that greatly influence patients’ health. Healthcare professionals utilize patient-reported outcome measures (PROMs) to classify and better manage the disease. Despite the value of PROMs, they inadequately represent some important dimensions of COPD, like social support and healthcare access/utilization. This is important, especially for social support, since it can positively influence PROMs results and the overall health of patients with COPD. Therefore, a scoping review was conducted to determine how social support affects PROMs of patients with COPD in primary care. The PRISMA–Scoping approach was adopted, and we sought articles published in MEDLINE and COHRANE. We screened 2038 articles for inclusion and finally included a total of 10 articles. Most of the articles were conducted in the U.S. and Norway. Social support had a strong positive impact on PROMs. Additionally, different types of social support were observed. Moreover, higher levels of social support were linked to better quality of life, mental health, self-care behaviors, self-management, functionality, and less severe COPD. Consequently, this scoping review highlights the value of social support in patients with COPD and its underrepresentation and misrepresentation in PROMs literature.
Relocation Strategies in 802.16 Heterogeneous Networks

IEEE 802.16-series are expected to provide broadband wireless access for a variety of multimedia services. The WiMAX Forum has defined a two-tiered mobility management to minimize handover delay and packet loss. The standards only define the Access Service Network Gateway ASN GW relocation procedures without specifying when the ASN GW relocation should be performed. So to address it previously Gateway Relocation Admission Control (GRAC) was developed, which combines ASN GW relocation and Admission Control (AC) algorithm to maximize system capacity. GRAC incorporates traditional Admission Control (AC) and Wiener Process (WP)-based prediction algorithms to determine when to carry out ASN GW relocation. Unfortunately, it is suitable only for Inter-ASN communications because of the inability to support vertical hand off communications (heterogeneous networks). The decision for vertical handover depends on many factors (cost, load, network bandwidth, coverage, security speed, power consumption etc.) that need to be considered together with the signal strength in the complex heterogeneous wireless environment. Therefore, we propose to use a vertical handover decision algorithm based on the user’s speed and session’s priority (non-real-time or real-time service) of the mobile nodes. Delivers had better channel utilization and preserves QoS requirements of the mobile subscribers and a practical implementation validates our claim.
Analysis of Forecasting Techniques for the Growth of Vehicular Population in Nepal

Forecasting of vehicular population is a critical process that entails predicting future values based on analyzing past trends and considering explanatory variables, such as economic and demographic factors. This becomes especially vital in the context of Nepal, where the accurate prediction of the future growth of the vehicular population is paramount for achieving sustainable transportation systems. This study employs three distinct forecasting methods: trend line analysis, econometric analysis, and time series analysis. These methods have been rigorously evaluated to assess their respective levels of accuracy in predicting Nepal's vehicular population. Notably, the results from time series analysis, particularly the ARIMA model, have demonstrated a remarkable level of precision compared to the traditional trend line and econometric analysis approaches. The superiority of the ARIMA model underscores its efficacy as the preferred method for accurate vehicular population forecasting, providing a reliable foundation for future planning and policy implementation. The forecasted figures for Nepal's vehicular population indicate anticipated counts of 8,914,793 for 2030 AD, 1,482,842,6 for 2040 AD, and 2,203,801,2 for 2050 AD. These predictions offer transportation planners invaluable insights for the effective implementation of new projects, ensuring that resources are optimally allocated and transportation sustainability is realized.
BRD3 Regulates the Inflammatory and Stress Response in Rheumatoid Arthritis Synovial Fibroblasts

Background: Individual functions of members of the bromodomain (BRD) and extra-terminal (BET) protein family underlying the anti-inflammatory effects of BET inhibitors in rheumatoid arthritis (RA) are incompletely understood. Here, we aimed to analyze the regulatory functions of BRD3, an understudied member of the BET protein family, in RA synovial fibroblasts (FLS). Methods: BRD3 was silenced in FLS prior to stimulation with TNF. Alternatively, FLS were treated with I-BET. Transcriptomes were analyzed by RNA sequencing (RNAseq), followed by pathway enrichment analysis. We confirmed results for selective target genes by real-time PCR, ELISA, and Western blotting. Results: BRD3 regulates the expression of several cytokines and chemokines in FLS, and positively correlates with inflammatory scores in the RA synovium. In addition, RNAseq pointed to a profound role of BRD3 in regulating FLS proliferation, metabolic adaption, and response to stress, including oxidative stress, and autophagy. Conclusions: BRD3 acts as an upstream regulatory factor that integrates the response to inflammatory stimuli and stress conditions in FLS and executes many functions of BET proteins that have previously been identified using pan-BET inhibitors.
Dijkstra ’ s Shortest Path Algorithm

The underlying principle of the algorithm may be described as follows: the algorithm starts with the source; it visits the vertices in order of increasing cost, and maintains a set V of visited vertices (denoted by UsedVx in the article) whose cost from the source has been computed, and a tentative cost D(u) to each unvisited vertex u. In the article, the set of all unvisited vertices is denoted by UnusedVx. D(u) is the cost of the shortest path from the source to u in the subgraph induced by V ∪{u}. We denote the set of all unvisited vertices whose Dvalues are not infinite (i.e. in the subgraph each of which has a path from the source to itself) by OuterVx. Dijkstra’s algorithm repeatedly searches OuterVx for the vertex with minimum tentative cost (this procedure is called findmin in the article), adds it to the set V and modifies D-values by a procedure, called Relax. Suppose the unvisited vertex with minimum tentative cost isx, the procedure Relax replaces D(u) with min{D(u),D(u)+ cost(x,u)} whereu is a vertex in UnusedVx, and cost (x,u) is the cost of edge(x,u). In the Mizar library, there are several computer models, e.g. SCMFSA and SCMPDS etc. However, it is extremely difficult to use these models to formalize the algorithm. Instead, we adopt functions in the Mizar library, which seem to be pseudo-codes, and are similar to those in the functional programming language, e.g. Lisp. To date, there is no rigorous justification with respect to the correctness of Dijkstra’s algorithm. The article presents first the rigorous justification.
I Need You To Survive: Black Women Resisting White Supremacy Culture for Faculty and Student Wellbeing

The K-12 teaching population in the United States remains overwhelmingly White despite rapid changes in racial demographics. Black prospective educators enrolled in teacher preparation programs often find themselves isolated and subjected to racism. Racial affinity groups have been established to support students of Color. Faculty mentors of these groups spend substantial time, physical, and emotional energy supporting students who navigate the violence of higher education institutions. Given recent and ongoing pandemics, supporting students to survive, thrive, and develop psychological literacy is critical work and has become more time intensive. This article examines the experiences of two Black women faculty mentors working with Black undergraduate students. Findings indicate that notwithstanding the labor, mentoring has supported faculty members’ wellbeing, thereby disrupting traditional notions of service leading to burnout. The authors posit that affinity mentoring is mutually beneficial for faculty and student wellbeing. Implications and transferability are discussed.
Application of Shallow Seismic Refraction and 2D Electrical Resistivity Imaging to Site Investigations

A Geophysical study involving 2D electrical resistivity imaging and shallow seismic refraction was conducted to provide support data for engineering site characterization. The case was a potential building site coterminous to the Business School in the precinct of the Kwame Nkrumah University of Science and Technology, (KNUST) Kumasi. The data of interest included depths to bedrock, the thickness and the degree of compaction of the weathered overburden and the variability in the top soil. Collocated resistivity and p-wave velocity data were acquired along fourteen traverses each of length 240 m oriented in the north to south direction. The inter-profile separation was 10 m. CVES resistivity data were collected using the multi-electrode ABEM Terrameter SAS 4000 Lund imaging system in the Wenner configuration with a basic array length of 12 m (minimum electrode spacing of 4 m) and was rolled-along to cover the total profile length. Along the same traverses, the ABEM Terraloc Mk 6, a 24 channel recording system, with a 9 kg energy source and 10 Hz electromagnetic geophones placed 5 m apart were used to collect the p-wave seismic refraction data. The apparent resistivity data were inverted with the RES2DINV software. The soil column (the very near surface) varied in thickness up to 5 m and consists of mostly sandy-clay/lateritic soil with resistivity between 200 Ω. m and 600 Ω. m. Within this layer, there are high resistivity enclaves which are speculated to be loose sand or poorly compacted materials. This resistivity layer is almost coincident with the first of the three acoustic layers identified by the seismic refraction. This zone has average p-wave velocity of 760 m/s. The seismic refraction again delineated a weathered zone which is thicker at the northern section of the site but tapers as it approaches the southern part, extending from 5 to 25 m and 10 to 15 m respectively at the northern and southern parts. The average p-wave velocity is 1300 m/s. The bedrock was delineated depths > 24 m at the north but at shallower depth of about 12 m at the south. The bedrock has p-wave velocity within the range of 3759 m/s to 5321 m/s, with a mean seismic velocity of 4300 m/s. On the resistivity sections, the bedrock was not evident except at the southern part close to the stream.
The Influence of Celebrity Endorsers and Online Promotion on Purchasing Decision through Brand ImageInfluence Of Celebrity Endorsers And Online Promotion On Purchasing Decision Through Brand Image

This study aims to analyze the influence of celebrity endorsers and online promotions on purchasing decisions through brand image as a mediating variable on SKINTIFIC and Tasya Farasya products as celebrity endorsers. This type of research is quantitative research using primary data. This study uses Structural Equation Modeling (SEM) AMOS 21 analysis tool. Based on the results of the study, it showed that celebrity endorsers had a positive and significant effect on purchasing decisions, online promotion had a positive and significant effect on purchasing decisions, celebrity endorsers had a positive and significant effect on brand image, online promotion had a positive and significant effect on brand image, brand image had a positive effect and significantly to purchasing decisions, brand image is able to mediate the influence of celebrity endorsers on purchasing decisions, and brand image is able to mediate online promotions on purchasing decisions.
Disaster Management in Tanzanian Secondary Schools: An Assessment of Disaster Risk Preparedness and Mitigation Strategies

This study assessed the disaster risk preparedness in schools and mitigation strategies within school culture's quantitative and qualitative nature. Safety schools ensure high-quality management by implementing effective risk management strategies. To achieve quality education, schools must prioritise disaster risk mitigation strategies. In so doing, three objectives were employed, which include examining the influence of disaster-risk preparedness on school safety measures, assessing teachers' and students' emergency preparedness skills, and evaluating safety equipment availability in schools. The study utilised a mixed-methods approach, encompassing questionnaires, interviews, and physical observations. The research was conducted in the Dodoma region, focusing on five public secondary schools. A total of 152 participants were purposefully and randomly selected for the study. The quantitative data was analysed descriptively, while the qualitative data was thematically paraphrased and presented as quotes. The study further revealed that schools have insufficient safety equipment, leading to unpreparedness during emergencies. Additionally, it was found that teachers and students rarely receive emergency preparedness training, increasing crisis risk in schools. Furthermore, most schools lack essential safety equipment such as fire extinguishers, fire alarms, and fire exits, which puts them at potential disasters.
The Convergence of Percapita Income in Central Sulawesi Province

This research aims at analyzing the influence of economic growth and human development index on the poverty rate of 13 regencies/cities in Central Sulawesi Province. The data were analyzed using panel data which employed Eviews version 11 software. The result of fixed effect model regression shows that economic growth and mean years of schooling negatively and significantly affect poverty rate, life expectancy and per capita expenditure positively and significantly affect poverty rate, and expected years of schooling does not affect poverty rate in regencies/cities of Central Sulawesi Province. To mitigate the poverty rate constant reference to pro-poor, pro-job, and pro-growth policies should be maintained and job vacancy need to be expanded and regency/city government could increase the realization of school and teacher facility spending budget allocation, administer nonformal education which can increase workers’ productivity, provide hospital, public health center, secondary public health center and health personnel facilities, public infrastructure and education assistance such as providing training on creativity in cooperatives and micro-, small-, and medium-enterprises (MSMEs).
HIPPL: Hierarchical Intent-Inferring Pointer Network with Pseudo Labeling for Consistent Persona-Driven Dialogue Generation

—Despite the recent advancements in dialogue systems, persona-driven chatbots are still in their infancy. Previous studies on persona-driven dialogue generation demonstrated its ability in generating responses that contain more detailed persona information. However, the challenge of maintaining persona consistency and contextual coherence still persists in persona-driven dialogue generation. Moreover, current methods have limitations in processing multi-source inputs and identifying interlocutors’ intents due to the absence of trustworthy labels and effective modeling. Additionally, numerous approaches rely on pre-trained large-scale language models that require costly computational resources. To address these challenges, a lightweight hierarchical intent-inferring pointer network is proposed for multi-source persona-driven dialogue generation. The proposed method involves detecting interlocutor intent in chitchat and utilizing pseudo labeling and natural language inference techniques to generate intent labels. Our model is evaluated on a benchmark dataset PersonaChat. The experimental results show that our model outperforms the strongest baseline by 13.47% and 4.28% in persona consistency and contextual coherence, respectively.
Technology development for preparation of Instant soup mix powder from yam, drumstick leaves and roselle calyces

Nowadays everybody is in a hurry of time and wants the food items which require less time for cooking and convenient for preparation, due to changing lifestyle, there is change in food habits of people. Instant soups play an important role in balancing the nutrients needed for people to stay healthy and can be used as an alternative breakfast food. Generally, yam, drumstick leaves and roselle calyces are not part of our routine diet besides having such a good nutritional and therapeutic value. Hence, there is scope of increasing utilization of such food. Nowadays people are very conscious towards their health so, they prefer healthy plus nutritious food. Yam is also a good source of vitamins A and C, and of fiber and minerals soluble dietary fiber and phytochemicals such as Tannins (Phenolic compound) which helps in treating Cancer. Also, drumstick leaves add more nutritional value in terms of proteins, vitamin C, polyphenols, beta-carotene etc. Roselle calyces contain anthocyanin’s as major coloring agents which are potent antioxidants. The aim of present research study was to develop instant soup mix powder from yam, drumstick leaves and roselle calyces and its nutritional evaluation along with other vegetables and spices. The chemical composition of selected sample (T 3 ) was moisture 4.23%, protein 12.40%, fat 1.49%, ash 7.04%, carbohydrates 71.04%, fibers 3.8%. Finally, it could be concluded that sample T 3 containing 25% yam flour, 5% drumstick leaves powder and 1.5% of roselle calyces powder was superior in terms of sensory as well as nutritional quality. The T 3 sample is a great source of energy with an energy value of 347.17 Kcal.