Miracle-dz/UniFAR-FTUs huggingface dataset:
Desarrollo y validación de la Escala de Autocuidado de Salud Mental en adultos peruanos

Introducción: El cuidado de la salud mental ha sido identificado como un elemento importante dentro de la respuesta general de salud a la pandemia por COVID-19. El estudio tuvo la finalidad de desarrollar y validar la Escala de Autocuidado de Salud Mental (ESAMEN), recogiendo evidencias acerca de su validez factorial, convergente y su consistencia interna. Método: Enfoque cuantitativo, diseño instrumental de corte transversal, en el estudio participaron 506 pobladores peruanos mayores de 18 años (media de edad = 25.5 y DE = 10.5), de ambos sexos, en 2021. Se realizó un análisis factorial exploratorio para identificar la estructura de la variable autocuidado de la salud mental. Resultados: Se identificó una estructura con tres dimensiones: mental (α = 0.95), social (α = 0.95) y espiritual (α = 0.96). Se corroboró la validez convergente; las dimensiones de la ESAMEN mostraron correlaciones esperadas con las medidas de autoestima, autoeficacia, eustrés y distrés. Conclusión: La versión final de la ESAMEN, formada por 16 ítems, presenta evidencia psicométrica adecuada para evaluar el autocuidado de la salud mental, por tal razón, puede utilizarse en estudios en el contexto peruano.
On the sustainability of deep learning projects: Maintainers' perspective

Deep learning (DL) techniques have grown in leaps and bounds in both academia and industry over the past few years. Despite the growth of DL projects, there has been little study on how DL projects evolve, whether maintainers in this domain encounter a dramatic increase in workload and whether or not existing maintainers can guarantee the sustained development of projects. To address this gap, we perform an empirical study to investigate the sustainability of DL projects, understand maintainers' workloads and workloads growth in DL projects, and compare them with traditional open‐source software (OSS) projects. In this regard, we first investigate how DL projects grow, then, understand maintainers' workload in DL projects, and explore the workload growth of maintainers as DL projects evolve. After that, we mine the relationships between maintainers' activities and the sustainability of DL projects. Eventually, we compare it with traditional OSS projects. Our study unveils that although DL projects show increasing trends in most activities, maintainers' workloads present a decreasing trend. Meanwhile, the proportion of workload maintainers conducted in DL projects is significantly lower than in traditional OSS projects. Moreover, there are positive and moderate correlations between the sustainability of DL projects and the number of maintainers' releases, pushes, and merged pull requests. Our findings shed lights that help understand maintainers' workload and growth trends in DL and traditional OSS projects and also highlight actionable directions for organizations, maintainers, and researchers.
Exploring the Use of Live Interactive Worksheets in Foreign Language Classes: Perceptions of Students and Teachers

Live interactive worksheets started to become known in the Jamaican foreign language (L2) circle after the COVID-19 pandemic plunged schools worldwide into online teaching. Educators needed to find creative ways to engage and motivate learners. Currently, there are no studies on live worksheets in Jamaica; therefore, this research aims to bridge this gap. The authors sought to ascertain both teachers' and students' perspectives on incorporating live worksheets in L2 classes. Sixteen undergraduate students at Northern Caribbean University (NCU) and seven L2 high school teachers responded to questionnaires and semi-structured interviews. The qualitative approach was used to analyze the data. Major findings show that live worksheets effectively engage students, promote autonomy, and aid in the recall and application of information. In this article, the authors have highlighted perceptions relating to both the benefits and challenges of using live worksheets, as well as how to overcome possible obstacles.
The effects of non-Newtonian fluid material midsole footwear on tibial shock acceleration and attenuation

Introduction: Given the possibility of higher ground temperatures in the future, the pursuit of a cushioning material that can effectively reduce sports injuries during exercise, particularly one that retains its properties at elevated temperatures, has emerged as a serious concern. Methods: A total of 18 man recreational runners were recruited from Ningbo University and local clubs for participation in this study. Frequency analysis was employed to investigate whether there is a distinction between non-Newtonian (NN) shoes and ethylene vinyl acetate (EVA) shoes. Results: The outcomes indicated that the utilization of NN shoes furnished participants with superior cushioning when engaging in a 90° cutting maneuver subsequent to an outdoor exercise, as opposed to the EVA material. Specifically, participants wearing NN shoes exhibited significantly lower peak resultant acceleration (p = 0.022) and power spectral density (p = 0.010) values at the distal tibia compared to those wearing EVA shoes. Moreover, shock attenuation was significantly greater in subjects wearing NN shoes (p = 0.023) in comparison to EVA shoes. Performing 90° cutting maneuver in NN shoes resulted in significantly lower peak ground reaction force (p = 0.010), vertical average loading rate (p < 0.010), and vertical instantaneous loading rate (p = 0.030) values compared to performing the same maneuvers in EVA shoes. Conclusion: The study found that the PRA and PSD of the distal tibia in NN footwear were significantly lower compared to EVA footwear. Additionally, participants exhibited more positive SA while using NN footwear compared to EVA. Furthermore, during the 90° CM, participants wearing NN shoes showed lower PGRF, VAIL, and VILR compared to those in EVA shoes. All these promising results support the capability of NN footwear to offer additional reductions in potential injury risk to runners, especially in high-temperature conditions.
Automated Surface Defect Detection for Hot-Pressed Light Guide Plates Based on GDA-YOLOv7

In this paper, a high-precision hot-pressed light guide plate defect detection model based on improved YOLOv7 is proposed. The model strengthens the spatial correlation between background and foreground by fusing global context information. A densely connected convolutional network is used to enhance the feature extraction capability and mitigate problems such as gradient vanishing while ensuring the maximum information flow in the network. Further, adaptive spatial feature fusion is used in the feature fusion structure of the model; the adaptive spatial feature fusion structure compensates for the small targets that are difficult to extract in high dimensions from low dimensions, thus solving the problem of detecting small targets that are easy to lose. Finally, a self-constructed dataset is built using images of hot-pressed light guide plates collected from industrial sites, and a large number of experiments are conducted. Experimental results show that the defect detection model has a mean average precision (mAP) of 99.1% and a detection speed of 127 FPS. Compared with the mainstream surface defect target detection algorithms, while ensuring the detection speed, the accuracy rate has been significantly improved, and the accuracy rate and real-time can meet the requirements of the industrial field inspection of hot-pressed light guide plate.
Digital Transformation and International Business Theory

: The rapid growth of information and communication technologies has changed the the entire internationalization process of enterprises. As firms launch digital transformation schemes, scholars researched and revised the international business theory according to real-life business practice. These researches provided profound insight for various aspects in the field of international business. Based on recent researches of international business theory, this article conducted a generic literature review on the field of firm special advantages (FSA), expansion strategy and global value chain (GVC). The aim is to figure out how the digitalization trend has reshaped the foundation of international business theory. After a thorough analysis and examination, the author proposed several constructive advice for the future practice of internalization under the digital environment.
The Role of Emotion Dysregulation in Problematic Exercise in those with Eating Disorders

Problematic exercise is common in eating disorders (EDs) and is associated with poor treatment prognosis; thus, understanding factors associated with problematic exercise may help improve treatment outcomes. In non-clinical samples, emotion dysregulation has been associated with problematic exercise; however, longitudinal associations between emotion dysregulation and problematic exercise have not been examined in clinical ED samples. This study examined if (1) emotion dysregulating was associated with problematic exercise symptom severity and frequency of problematic exercise, and (2) early changes in emotion dysregulation during treatment predicted problematic exercise symptom severity and frequency of problematic exercise in a clinical ED sample. ED patients (N = 207) completed the Difficulties in Emotion Regulation Scale (DERS), the Eating Disorder Examination-Questionnaire, and the Excessive Exercise subscale of Eating Pathology Symptoms Inventory at admission, 1-month post-admission, and discharge. DERS total score was correlated with symptom severity and frequency of problematic exercise at admission. Furthermore, early changes in DERS total score from admission to 1-month predicted problematic exercise symptom severity but not frequency of problematic exercise at discharge. Thus, emotion dysregulation may maintain symptoms of problematic exercise but not frequency in EDs, providing initial evidence that targeting emotion dysregulation may help reduce symptom severity of problematic exercise.
Exploring the Molecular Origin for the Long-Range Propagation of the Substrate Effect in Unentangled Poly(methyl methacrylate) Films

The polymer/substrate interface plays a significant role in the dynamics of nanoconfined polymers because of its suppression on polymer mobility and its long-range propagation feature, while the molecular origin of the long-range substrate effect in unentangled polymer material is still ambiguous. Herein, we investigated the propagation distances of the substrate effect (h*) by a fluorinated tracer-labeled method of two unentangled polymer films supported on silicon substrates: linear and ring poly(methyl methacrylate) films with relatively low molecular weights. The results indicate that the value of h* has a molecular weight dependence of h*∝N (N is the degree of polymerization) in the unentangled polymer films, while h*∝N1/2 was presented as previously reported in the entangled films. A theoretical model, depending on the polymer/polymer intermolecular interaction, was proposed to describe the above long-range propagation behavior of the substrate effect and agrees with our experiment results very well. From the model, it revealed that the intermolecular friction determines the long-range propagation of the substrate effect in the unentangled system, but the intermolecular entanglement is the dominant role in entangled system. These results give us a deeper understanding of the long-range substrate effect.
A novel trajectory similarity measurement method based on node‐sequence hierarchical digraph

Trajectory similarity measurement is a basic and vital task in trajectory data mining, which has attracted extensive research in the past decades. Recent works focused on the sequence and hierarchy property of trajectories to construct similarity measurements. However, these methods ignore the user information on the visiting locations, such as semantic and time distribution. In light of this, a novel trajectory similarity measurement based on Node‐Sequence Hierarchical Digraph (NSHD) framework is proposed in this article. We first propose a Time‐Weighted Stay Point Detection (TWSPD) method to extract real visiting locations of users more accurately. Then, the nodes of digraph are obtained by clustering users' stay points and the edges of digraph are sequence information that users move between these nodes. An Advanced Earth Mover's Distance (AEMD) is proposed to measure the node similarity between users, considering visiting time distribution and semantic information simultaneously. Both node and sequence similarities are used to calculate the similarity score to obtain the final trajectory similarity measurement. Experiments on Geolife and T‐Drive datasets show that our proposed method offers competitive performance with mean reciprocal rank values reaching 96.01 and 81.26%, which outperforms related trajectory similarity measurements by more than 10 and 15%.
Aptamer-Based Functionalized SERS Biosensor for Rapid and Ultrasensitive Detection of Gastric Cancer-Related Biomarkers

Background Gastric cancer (GC) as is the second deadliest malignancy still lacks rapid, simple and economical detection and early clinical screening techniques. Surface-enhanced Raman spectroscopy (SERS) is a spectroscopic technique based on the surface plasmon resonance of precious metal nanoparticles, which can effectively detect low-abundance tumor markers. Combining SERS technology with sensors has high potential in the diagnosis and screening of GC. Methods A novel Au/Si nano-umbrella array (Au/SiNUA) was prepared as a SERS substrate and the substrate was functionalized using the corresponding tumor marker aptamers for the detection of clinical biological samples using a one-step recognition release mechanism. Optimization of aptamer and complementary chain concentrations and detection time for optimal sensor preparation. Results Au/SiNUA were tested to have good SERS enhancement activity. The proposed aptamer biosensor has good specificity and stability, with a low detection time of 18 min and a limit of detection (LOD) at the fM level, which is superior to most of the methods reported so far; and the accuracy of the clinical assay is comparable to that of the ELISA method. The expression levels of PDGF-B and thrombin in the serum of GC patients and healthy individuals can be effectively detected and differentiated. Conclusion The ultrasensitive and specific aptamer biosensor is highly feasible for the diagnosis and screening of GC and has good application prospects.
Assessing Retinal Structure in Patients with Parkinson’s Disease

Objective: The retina is an extension of the central nervous system (CNS), and ocular symptoms can precede manifestations of CNS disorders. Given that several neurodegenerative conditions that affect the brain exhibit ocular symptoms, the retina may be an accessible biomarker to monitor disease progression. Dopamine, the key neurotransmitter related to Parkinson’s disease (PD), is contained in amacrine and interplexiform cells, which reside in specific retinal layers. Understanding how loss of dopaminergic cells affects retinal anatomy could be relevant for monitoring disease progression. Here, our objective is to evaluate retinal structure (foveal pit morphology and thickness) in patients with PD. Methods: Thirty-three Caucasian subjects diagnosed with PD and 40 age-matched Caucasian control subjects underwent retinal imaging with spectral-domain optical coherence tomography (SD-OCT). Axial length measurements were used to correct the lateral scale of each macular volume scan. From these corrected volumes, foveal morphology was quantified with previously described algorithms, and Early Treatment Diabetic Retinopathy Study (ETDRS) grids of retinal thickness were generated and incorporated into a logistic regression model to predict PD. Results: Interocular foveal morphology measurements were highly symmetrical in PD patients and control subjects. There were no significant differences in foveal pit morphology between PD patients and control subjects. Using a model incorporating sex and axial length corrected ETDRS regions, we generated a receiver operating characteristic curve with a C-statistic of 0.80. Conclusion: Our study, which to our knowledge is the first to properly scale OCT measurements when quantifying retinal thickness, demonstrates that PD patients retain foveal symmetry between eyes. When constructing a model to predict PD, sex, along with the center 1 mm and temporal outer ETDRS regions, were significant predictors of PD. In addition to proper scaling of OCT measures, gender and racial differences in retinal anatomy should be considered in building future predictive PD models when using OCT.
Primary Uterine Cervix B-Cell Lymphoma: A Case Report and Treatment Debates

10.30699/jogcr.8. 6.645 Non-Hodgkin lymphomas are a heterogeneous group of lymphoproliferative disorders with various behaviors and responses to treatment. As a primary extranodal NHL, the disease must be confined to one location, and bone marrow should not be involved. Primary uterine cervix lymphoma is a rare malignancy as well as a rare site of extranodal lymphoma. Because of the rarity of the disease, there is no standard treatment guideline for women with primary uterine cervix lymphoma. Patients mostly present with abnormal uterine bleeding, vaginal discharge or pelvic pain. Typically, a pap smear may not show the malignant cells in the specimen. When the diagnosis is made, management may be debated due to its rarity and lack of standard treatment. Surgery, chemotherapy, chemo-immunotherapy and radiotherapy, either alone or in combination, are the treatment options. Most patients respond well to chemotherapy and radiation therapy. The prognosis is usually favorable. Here, we report a case of primary cervical lymphoma in a 50-year-old woman who presented with abnormal vaginal bleeding. She was treated with radiotherapy and chemo-immunotherapy and remained disease-free after nine months of treatment.
Hybrid Radiant Disinfection: Exploring UVC and UVB Sterilization Impact on the Mechanical Characteristics of PLA Materials

This study explores the impact of disinfection techniques on the mechanical properties of poly(lactic acid) (PLA), a crucial material in the production of medical implants, tissue engineering, orthopedic devices and drug delivery systems, owing to its biocompatibility and ease of manufacturing. The focus is on evaluating the effectiveness of ultraviolet (UV) type C (254 nm wavelength) and the combined use of type C and B (310 nm wavelength) disinfection methods. Fifteen tensile test specimens (ASTM D638) and fifteen compression test specimens (ASTM D695) were utilized to assess PLA’s mechanical properties, including yield strength, ultimate strength, and fracture strength. The investigation involved subjecting the specimens to the specified disinfection methods and evaluating these properties both before and after the disinfection process. In the tensile test, a statistically significant difference (p = 0) in yield displacement was observed among the three groups. Additionally, a notable difference (p = 0.047) in fracture displacement was identified between the untreated group and the UVC and UVB combination group. No discernible impact on yield or fracture forces was noted. In the compression test, there was a significant difference (p = 0.04) in yield displacement and a clear difference (p = 0.05) in fracture force between the untreated group and the UVC and UVB combination group. The hybrid combination of UVC and UVB disinfection techniques did not affect yield force in both tensile and compression tests. However, it demonstrated a clear impact on displacement, suggesting its potential as a promising disinfection technique in the medical field.
Evaluation of the Lipid Profile and its Correlation to Inflammatory Markers in a Sample of Rheumatoid Arthritis Patients in Iraq

Rheumatoid arthritis (RA) is one of the most prevalent chronic, autoimmune diseases of the joints. Although the disease itself is rarely deadly, complications such as disorders of pulmonary and cardiovascular can increase mortality. RA patients can suffer from significant dyslipidemia at various stages of the disease, where the lipid profile may be altered because of the inflammatory activity of the disease. Therefore, the present study aimed to estimate the correlation between lipid profile and markers of inflammation including rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) in a sample of Iraqi RA patients. In this study a total of 60 samples were obtained from RA patients and 30 samples from healthy individuals as a control group then samples were tested to measure the levels of lipid and inflammatory markers. The Correlation between lipid profile and inflammatory markers was studied by using Pearson’s correlation (r=−1 to 1). Out of 60 RA patients, 50 were females (83%) and 10 were males (17%) with a mean of age 46.15±10.74 years and a mean disease period of 9.17±6.73 years. The mean of total cholesterol in patients was 194 ± 45.39 mg/dl and the mean of triglycerides was 118 ± 46.78 mg/dl while the mean of HDL, LDL, and VLDL were (46.13±11.14, 125.7±38.63, and 23.59±9.35 mg/dl) respectively in the patients. The mean of RF was (92.04±71.21 IU/ml) while CRP was (5.877±5.92 mg/l) and ESR was (34.17±17.85 mm/h). In conclusion, there was no correlation between inflammatory biomarkers and parameters of lipid profile.
A Novel Approach for Characterizing Epoxy Mold Compound High Temperature Swelling

In this paper, a novel method for measuring hightemperature material swelling of an epoxy mold compound is explored. This work attempts to extend the swelling characterization beyond the capability of typical commercial tools. The approach uses a high-pressure chamber to maintain a saturated liquid environment for the specimen. Digital image correlation is used to measure in-situ strain change in the specimen due to hygro-thermal expansion. The results show moisture-induced swelling increases with temperature and is significant compared with thermal expansion. Results are compared against other measurement methods and published data. This has yielded good fundamental learnings for the novel concept and identified areas for future work.