Miracle-dz/UniFAR-FTUs huggingface dataset:
Manufacturing of 3D Printed Soft Grippers: A Review

Soft robotics technology has been rapidly expanding in recent years due to its advantages in flexibility and safety for human operators. Within this trend, soft grippers enable more delicate and adaptable manipulations, minimizing damage to the final object or the environment. 3D printing has recently emerged as a new manufacturing method for robotics, offering novel materials and design possibilities. The use of soft materials, such as thermoplastic elastomers (TPE) or silicone based elastomers, in 3D printing has enabled soft grippers to demonstrate their potential, leading to new applications in the medical, industrial or even the agricultural field, as well as improved performance. The ongoing synergy between soft robotics and 3D printing holds promise for continued breakthroughs, expanding the horizons of possibilities in these dynamic and evolving technological domains. This article provides a comprehensive review of the latest adavancements related to 3D printed soft grippers, as well as a discussion of the challenges ahead for this emerging field; in terms of limited resources, manufacturing costs and design process; emphasizing its growing importance in the fields of robotics and automation.
Self-Compassion Pada Ibu Dengan Postpartum Depression: Kajian Literatur

Postpartum Depression (PPD) adalah kondisi patologis dari postpartum blues yang dapat memanjang hingga 3 tahun pascapersalinan serta memengaruhi kesejahteraan ibu dan bayi. Satu dari tujuh ibu berisiko mengalami PPD. Kesenjangan antara konsep diri dan faktor sosiokultural dapat menyebabkan ekspektasi maternal yang tidak realistis dan pada akhirnya berkontribusi terhadap berkembangnya PPD. Self-Compassion (SC) sebagai faktor yang dapat dimodifikasi dan intervensi diyakini berperan dalam penanganan PPD. Penelitian ini bertujuan untuk merangkum secara komprehensif peran SC pada ibu PPD melalui kajian literatur. Artikel yang dikaji diterbitkan dalam jurnal internasional selama 5 tahun terakhir dengan metode kuantitatif. Sumber literatur berasal dari database elektronik PubMed, EBSCOHost, ScienceDirect, PsycInfo, dan Medline. Proses seleksi berpedoman pada diagram PRISMA. Enam belas artikel yang relevan selanjutnya dimasukkan ke dalam penelitian. Hasil kajian literatur menunjukkan adanya hubungan yang bermakna antara SC dan PPD dengan korelasi kuat dan arah berlawanan. Mekanisme proses kognitif mendasari hubungan antara kedua variabel. Selain itu, enam intervensi ditemukan meningkatkan SC dan mengurangi gejala PPD secara signifikan. Sebagian besar intervensi menggunakan terapi perilaku kognitif generasi ketiga. Sebagai pemberi asuhan, perawat dapat melengkapi data pengkajian terkait aspek psikososial ibu postpartum, memberikan psikoedukasi dan melakukan skrining PPD, serta mempromosikan SC sebagai koping yang adaptif selama masa transisi dan mencapai identitas keibuan.
Implementing a Virtual Surveying Lab

In 2020, the COVID pandemic forced educators to pivot to an online teaching modality in the middle of spring semester. In preparation for a summer offering of a surveying and geomatics class, faculty chose to develop a virtual laboratory that could provide a quality, virtual learning experience for students that would fully meet the course learning outcomes. The resulting virtual laboratory centered on a series of videos that put the student in a second-person perspective of a note-taker on a survey crew. The modules built around these videos not only allowed for a fully virtual delivery of the laboratory, with students participating from as far away as Saudi Arabia, they also ensured full participation of every student, something that live survey labs sometimes lack. This paper describes the virtual lab in contrast with a traditional in-person laboratory. Students in the virtual lab reported that it contributed more to their learning than did students in the traditional laboratory. Recommendations for improving the laboratory and incorporating it into a post-COVID curriculum are proposed, including the potential for addressing accessibility constraints on the in-person lab and as a supplemental learning resource. © American Society for Engineering Education, 2021
Pterostilbene Induces Apoptosis from Endoplasmic Reticulum Stress Synergistically with Anticancer Drugs That Deposit Iron in Mitochondria

Anticancer agents are playing an increasing role in the treatment of gastric cancer (GC); however, novel anticancer agents have not been fully developed. Therefore, it is important to investigate compounds that improve sensitivity to the existing anticancer drugs. We have reported that pterostilbene (PTE), a plant stilbene, enhances the antitumor effect of low doses of sunitinib in gastric cancer cells accumulating mitochondrial iron (II) (mtFe) at low doses. In this study, we investigated the relationship between the mtFe deposition and the synergistic effect of PTE and different anticancer drugs. For this study, we used 5-fluorouracil (5FU), cisplatin (CPPD), and lapatinib (LAP), which are frequently used in the treatment of GC, and doxorubicin (DOX), which is known to deposit mtFe. A combination of low-dose PTE and these drugs suppressed the expression of PDZ domain-containing 8 (PDZD8) and increased mtFe accumulation and mitochondrial H2O2. Consequently, reactive oxygen species-associated hypoxia inducible factor-1α activation induced endoplasmic reticulum stress and led to apoptosis, but not ferroptosis. In contrast, 5FU and CDDP did not show the same changes as those observed with PTE and DOX or LAP, and there was no synergistic effect with PTE. These results indicate that the combination of PTE with iron-accumulating anticancer drugs exhibits a strong synergistic effect. These findings would help in developing novel therapeutic strategies for GC. However, further clinical investigations are required.
Leaky gut and inflammatory biomarkers in a medication overuse headache model in male rats

Background/aim: Medication overuse is common among chronic migraine patients and nonsteroidal antiinflammatory drugs (NSAIDs) are the most frequently overused drugs. The pathophysiological mechanisms underlying medication overuse headache (MOH) are not completely understood. Intestinal hyperpermeability and leaky gut are reported in patients using NSAIDs. The aim of the study is to investigate the role of leaky gut and inflammation in an MOH model MOH model in male rats. Methods: The study was conducted in male Sprague Dawley rats. There were two experimental groups. The first group was the chronic NSAID group in which the rats received mefenamic acid (n = 8) for four weeks intraperitoneally (ip) and the second group was the vehicle group (n = 8) that received 5% dimethyl sulfoxide+sesame oil (ip) for 4 weeks. We assessed spontaneous pain-like behavior, periorbital mechanical withdrawal thresholds, and anxiety-like behavior using an elevated plus maze test. After behavioral testing, serum levels of occludin and lipopolysaccharide-binding protein (LBP) and brain levels of IL-17, IL-6, and high mobility group box 1 protein (HMGB1) were evaluated with ELISA. Results: Serum LBP and occludin levels and brain IL-17 and HMGB1 levels were significantly elevated in the chronic NSAID group compared to its vehicle (p = 0.006, p = 0.016, p = 0.016 and p = 0.016 respectively) while brain IL-6 levels were comparable (p = 0.67) between the groups. The chronic NSAID group showed pain-like and anxiety-like behavior in behavioral tests. Brain IL-17 level was positively correlated with number of head shakes (r = 0.64, p = 0.045), brain IL-6 level was negatively correlated with periorbital mechanical withdrawal thresholds (r = –0.71, p = 0.049), and serum occludin level was positively correlated with grooming duration (r = 0.73, p = 0.032) in chronic NSAID group. Conclusion: Elevated serum occludin and LBP levels and brain IL-17 and HMGB1 levels indicate a possible role of leaky gut and inflammation in an MOH model in male rats. Additionally, a significant correlation between pain behavior and markers of inflammation and intestinal hyperpermeability, supports the role of inflammation and leaky gut in MOH pathophysiology.
Fuzzy Decision Support Systems for Selection of NEA Detection Technologies Under Non-Linear Diophantine Fuzzy Hamacher Aggregation Information

The Objectives of this study is to extend the concept of q-rung linear Diophantine fuzzy sets (q-RLDFSs), followed by the Near-Earth Asteroids (NEAs) deflection detector. The q-RLDFS is more superior than linear Diophantine fuzzy sets (LDFSs) because of the qth power of reference parameters (RPs). In the present work, first we have recall the q-RLDFS and named it Non-linear Diophantine Fuzzy set (N-LDFS) further, introduce some operational rules on N-LDFS under Hamacher sum and Hamacher product. Hamacher Norms were commonly referred to as Hamacher operations, but their applications might be better expressed if they are presented with a new level of flexibility within the general parameter. Hamacher operations have not yet been applied for N-LDFS in a suitable form. Therefore we have apply the Hamacher operators for N-LDFS and develop a new area of research in decision making problems. We have apply the Hamacher operators to develop Non-linear Diophantine fuzzy aggregation operators from geometric point of view such as non-linear Diophantine fuzzy Hamacher weighted geometric (N-LDFHWG), non-linear Diophantine fuzzy Hamacher ordered weighted geometric (N-LDFHOWG) and non-linear Diophantine fuzzy Hamacher hybrid weighted geometric (N-LDFHHWG) aggregation operators. We will also establish commutativity, idempotency and monotonicity properties which are the most desirable properties for proposed operators. Ultimately, we have implement a case study regarding the decision support method to pick the best NEA deflection detector. We construct an algorithm to solve the problem of multi-attribute decision-making (MADM) problem, followed by a fun of application using the N-LDFHWG operator. A comparison between the proposed and existing methods is perform from the geometric point of view. Finally, the comparisons demonstrate the effectiveness and superiority of the proposed method.
Knowledge, Attitude and Practice of Toothbrush Contamination and Disinfection Among Undergraduate Students in Selected Universities in Somalia

Background Oral health is crucial for overall well-being and systemic health and Humans are exposed to several bacteria after birth and will causes systemic illnesses like septicemia, respiratory, gastrointestinal, and renal issues. This study aimed to evaluate undergraduate students’ knowledge, attitudes, and practices regarding toothbrush contamination and disinfection. Methods A descriptive cross-sectional study was carried out with undergraduates from seven selected universities, including public and private universities. A closed-ended questionnaire containing 24 items was distributed to A total of 490 undergraduate students. Results The study showed that (28.6%, n=140) had knowledge about toothbrush cleaning and disinfection. A total of (350, n=71.4%) needed to gain knowledge about toothbrush cleaning and disinfection. Fifty-two percent of the students feel that bacteria are the primary mode of toothbrush contamination. Many of the students had different ways of disinfecting toothbrushes, including, boiling a small pot of normal water (51.4%, n=252), chemical agent (31.8%, n=156), ultraviolet sanitizer (0.2%, n=4), and microwave radiation (0.2%, n=1) does not know (16.1%, n=79). Most students (76.9%, n=377) felt that toothbrush disinfection was necessary. Conclusion Fewer students have sufficient knowledge about toothbrush contamination and practice disinfection methods, whereas most students need to be made aware of the contamination of toothbrushes and the use of disinfectant methods.
Attribute Reduction of Neighborhood Rough Set Based on Discernment

For neighborhood rough set attribute reduction algorithms based on dependency degree, a neighborhood computation method incorporating attribute weight values and a neighborhood rough set attribute reduction algorithm using discernment as the heuristic information was proposed. The reduction algorithm comprehensively considers the dependency degree and neighborhood granulation degree of attributes, allowing for a more accurate measurement of the importance degrees of attributes. Example analyses and experimental results demonstrate the feasibility and effectiveness of the algorithm.
Mechanism of Action of Antitumor Au(I) N-Heterocyclic Carbene Complexes: A Computational Insight on the Targeting of TrxR Selenocysteine

The targeting of human thioredoxin reductase is widely recognized to be crucially involved in the anticancer properties of several metallodrugs, including Au(I) complexes. In this study, the mechanism of reaction between a set of five N-heterocyclic carbene Au(I) complexes and models of the active Sec residue in human thioredoxin reductase was investigated by means of density functional theory approaches. The study was specifically addressed to the kinetics and thermodynamics of the tiled process by aiming at elucidating and explaining the differential inhibitory potency in this set of analogous Au(I) bis-carbene complexes. While the calculated free energy profile showed a substantially similar reactivity, we found that the binding of these Au(I) bis-carbene at the active CysSec dyad in the TrxR enzyme could be subjected to steric and orientational restraints, underlining both the approach of the bis-carbene scaffold and the attack of the selenol group at the metal center. A new and detailed mechanistic insight to the anticancer activity of these Au(I) organometallic complexes was thus provided by consolidating the TrxR targeting paradigm.
Stage-based maturity model approach for measuring enterprise governance of information technology and supply chain sustainability in Middle East and North Africa region

Purpose : To propose an easy-to-use and scientifically developed Enterprise Governance of Information Technology (EGIT) Maturity Models (MM) development methodology which can develop stage-based MMs. The proposed methodology enables researchers in developing countries to build and use scientific EGIT stage-based MMs that can support organizations to measure their compliance to the diverse recent EGIT respective regulations easily while adapting with their local context needs and protect their supply chains. Design/methodology/approach: This study is following an experimental approach by using the proposed methodology to develop an EGIT stage-based MM which is deployed and tested in three firms. The participating firms, which play a great role in supply chains, provided valuable feedback at the end of the experiment. Findings: The participating firms provided evaluation of the tested MM depicting its value in measuring EGIT compliance. The findings show a positive and significant relationship between the use of the MM developed by the proposed methodology and the participating firms’ capability to measure their EGIT maturity and increase it. Moreover, the proposed methodology enables small and medium-sized organizations to measure their EGIT maturity levels without consuming much time or resources which they cannot afford like large organizations. Research implications and limitations: During the research there were many challenges including and not limited to lack of EGIT MM developed in or for MENA region and EGIT awareness in MENA region. COVID 19 pandemic and its impact on the three participating organizations. The emergence of new regulations in MENA region during the research. Explaining the EGIT MM to different stakeholders with different background. Collecting and analysing the maturity of the three participating organization in all the processes of the four pillars. Originality: In developing countries like Middle East and North Africa Region (MENA) and especially Arab countries, EGIT plays a greater role in achieving new strategic visions set by emerging developing countries which have EGIT limited resources, lack of knowledge, and higher levels of risk. Although there are many MMs for EGIT, we could not find any adopting stage-based maturity measurement technique that was developed in or for the MENA region. Hence, this paper attempts to develop an EGIT Stage-based MM development methodology for Arab countries.
Abbreviated MRI Protocols: Efficacy in Improving Acquisition and Interpretation Time in Breast Cancer

Background: To be cost-effective, the abbreviated magnetic resonance imaging (MRI) protocols have to be proved to reduce examination and reading times, while being clinically effective. Objective: To investigate the efficacy of these protocols in enhancing the efficiency of exams and reducing interpretation time. The study reviews the rationale behind abbreviated protocols and why they are an essential evolving tool in breast screening programs. Patients and methods: This was a prospective randomized study. 60 female patients were examined. They were presented to Kasr Al-Ainy Medical School Breast Unit for screening. Patients were stratified using a risk assessment model. Different risk categories were included. Results: Abbreviated MRI is proved to be a cost-effective method of screening for breast cancer. It has found to be faster to be performed compared with traditional mammogram, as given all the preparation required and proper position needed in mammograms, MRI would be a better modality. Average time for completing abbreviated MRI (AB-MRI) was 5.1 minutes, while mammograms took 10 min. Reading AB-MR took an average of 4.7 minutes, while traditional mammograms 5.7minutes. Regarding efficacy, when compared to traditional screening methods, AB-MR showed the following: 100% negative predictive value (NPV), 85.7% specificity, 50% positive predictive value (PPV), and 100% sensitivity in breast cancer. Conclusion: Abbreviated MRI was found to be an efficient method to identify breast cancer, with shorter imaging and reading times.
Geochemistry of the Namaqualand, Bushmanland and Warmbad melilitite and kimberlite provinces of South Africa and Namibia: the southern extension of the African kimberlitic megalineament

Geochemistry of the Namaqualand, Bushmanland and Warmbad melilitite and kimberlite provinces of South Africa and Namibia: the southern extension of the African kimberlitic megalineament P. E. Janney*, M.D. Kirchner, P.I. Ogungbuyi, C. Harris, D.R. Bell Department of Geological Sciences, University of Cape Town, Rondebosch 7701, South Africa AEON-ESSRI, Nelson Mandela Metropolitan University, Summerstrand 6031, South Africa
Translating Image XAI to Multivariate Time Series

As Artificial Intelligence (AI) is becoming part of our daily lives, the need to understand and trust its decisions is becoming a pressing issue. EXplainable AI (XAI) aims at answering this demand, providing tools to get insights into the models’ behaviour and reasoning. Following this trend, our research paper explores the explainability of a deployed multimodal architecture applied to a real-world dataset of multivariate time series. The study aims to enhance the trustworthiness of an AI agent responsible for crash detection in an insurance company’s automatic assistance service. By introducing an XAI layer, we provide insights into the AI agent’s decision-making process, enabling the optimization of emergency medical services allocation. The dataset consists of real-world telematics data collected from vehicles equipped with black box technology. The challenge lies in explaining the complex interactions within the multivariate time series data to accurately understand the forces applied to vehicles during accidents. To this end, we adapt to this context two state-of-the-art XAI model-specific approaches, originally designed for images. We offer a qualitative and a quantitative evaluation, also comparing with a well-known agnostic method, and further validating our findings on an external dataset. The results show that Integrated Gradients, among the methodologies examined, is the most effective approach. Its ability to handle the complexity of the data provides the most comprehensive and insightful explanations for the considered use case. The findings emphasize the potential of XAI to enhance the trustworthiness of AI systems and optimize emergency response in the insurance industry. Code is available at https://github.com/ltronchin/translating-xai-mts.git.
Sub-Bin Delayed High-Range Accuracy Photon-Counting 3D Imaging

The range accuracy of single-photon-array three-dimensional (3D) imaging systems is limited by the time resolution of the array detectors. We introduce a method for achieving super-resolution in 3D imaging through sub-bin delayed scanning acquisition and fusion. Its central concept involves the generation of multiple sub-bin difference histograms through sub-bin shifting. Then, these coarse time-resolution histograms are fused with multiplied averages to produce finely time-resolved detailed histograms. Finally, the arrival times of the reflected photons with sub-bin resolution are extracted from the resulting fused high-time-resolution count distribution. Compared with the sub-delayed with the fusion method added, the proposed method performs better in reducing the broadening error caused by coarsened discrete sampling and background noise error. The effectiveness of the proposed method is examined at different target distances, pulse widths, and sub-bin scales. The simulation analytical results indicate that small-scale sub-bin delays contribute to superior reconstruction outcomes for the proposed method. Specifically, implementing a sub-bin temporal resolution delay of a factor of 0.1 for a 100 ps echo pulse width substantially reduces the system ranging error by three orders of magnitude. Furthermore, Monte Carlo simulations allow to describe a low signal-to-background noise ratio (0.05) characterised by sparsely reflected photons. The proposed method demonstrates a commendable capability to simultaneously achieve wide-ranging super-resolution and denoising. This is evidenced by the detailed depth distribution information and substantial reduction of 95.60% in the mean absolute error of the reconstruction results, confirming the effectiveness of the proposed method in noisy scenarios.
Substance use among Nigerian street children

In Nigeria, as a result of economic constraints, it is quite common to find children hawking and trading along the major streets, in buses as conductors and in the motor parks as touts. This study is an assessment of the patterns of substance use among this often neglected segment of the population in Nigeria. Out of a total of 100 children included in the study, the prevalence of substance use was 38%.