Miracle-dz/UniFAR-FTUs huggingface dataset:
An analysis of design recommendations for socially assistive robot helpers for effective human-robot interactions in senior care

As the global population ages, there is an increase in demand for assistive technologies that can alleviate the stresses on healthcare systems. The growing field of socially assistive robotics (SARs) offers unique solutions that are interactive, engaging, and adaptable to different users’ needs. Crucial to having positive human-robot interaction (HRI) experiences in senior care settings is the overall design of the robot, considering the unique challenges and opportunities that come with novice users. This paper presents a novel study that explores the effect of SAR design on HRI in senior care through a results-oriented analysis of the literature. We provide key design recommendations to ensure inclusion for a diverse set of users. Open challenges of considering user preferences during design, creating adaptive behaviors, and developing intelligent autonomy are discussed in detail. SAR features of appearance and interaction mode along with SAR frameworks for perception and intelligence are explored to evaluate individual developments using metrics such as trust, acceptance, and intent to use. Drawing from a diverse set of features, SAR frameworks, and HRI studies, the discussion highlights robot characteristics of greatest influence in promoting wellbeing and aging-in-place of older adults and generates design recommendations that are important for future development.
‘If you respect us...listen to us’: how sporting event media reframes or reinforces representations of street-connected children

ABSTRACT Advocacy programmes targeting street-connected children involve changing public and policy makers’ perceptions about this group of often stigmatised children. Increasingly, such programmes centre leisure activities, sports, and sporting events as potential platforms for sharing messages aimed at effecting social change. For effective impact, such advocacy goals require that safe spaces are developed for emerging children’s political messages and managing media narratives to centralise their individual challenges and, more importantly, the root-causes of their street-connectedness. In part influenced by an Ecological Framework for Human Development, we explore how the media engage meaningfully with Street Child United (SCU) events and how they represent street-connected children. Thematically analysing this media coverage, we explore SCU partners’ relationships with the media and whether advocacy messages are communicated coherently and consistently. We found that messages of advocacy and children’s rights are present, but inconsistently framed, reinforcing a binary between pity and inspiration, and limiting opportunities of challenging public perceptions and effecting change. For SCU, similar sports event organisers, and civil society organisations to successfully determine media narratives, they need to develop strategies to manage relationships and more continuous engagement with the media and other stakeholders to sustain interest and leverage impact.
Improved read/write assist mechanism for 10‐transistor static random access memory cell

This paper presents a robust low‐power 10T SRAM cell (RLP10T) with a novel read/write assist mechanism, improving both read static noise margin (RSNM) and write static noise margin (WSNM) simultaneously. To assess its relative strength, we compared the proposed cell with recently published SRAM cells such as WRE8T, 10T‐P1, HFBS10T, WALP11T, and SE11T in 16‐nm CMOS technology node. The RLP10T cell shows 3.55/1.07 times higher/lower RSNM compared to the WRE8T/WALP11T cell and offers at least 1.10 times higher WSNM. Due to the presence of three series‐connected transistors in its read path, which includes a strong pull‐down transistor, the proposed design shows 1.23 times shorter read delay (TRA) than that of 10T‐P1/HFBS10T cell. The proposed cell incurs a penalty of high write delay (TWA) due to its long write path. However, it exhibits the fourth (second)‐best read (write) power, attributed to its single‐ended structure and lower read (write) frequency. It also dissipates acceptable leakage power due to its single‐bitline structure and the presence of stacked transistors in its read path and pull‐down path of one of the inverters in the cell core. Subjected to the severe process, voltage, and temperature variations, the RLP10T cell offers at least 1.31/1.09/1.03 times lower variability in RSNM/WSNM/TRA at VDD = 0.7 V, at the cost of 1.22 times area overhead compared to the WRE8T cell.
Improved Yet Unsafe: At the Light of NFHS-V

Following UNICEF’s analysis of National Family Health Survey-III Data (NFHS-III), it was opined that households with access to better sanitation and better access to improved water sources have much better infant survival rates than the others. Sahu et al. (2015, The Indian journal of medical research, 141(5), 709), Arun et al. (2017, International Conference on Cognitive Computing and Information Processing (pp. 81–92), Springer) and Tripathy and Mishra (2017, Journal of Tropical Pediatrics, 63(6), 431–439) supported these findings. However, Banerjee (2020a, Journal of Health Management, 22(1), 57–66), analysing NFHS-IV data, has vehemently criticised such findings and showed using regression with robust standard errors that improved access to better water sources leads to higher infant mortality. In another article published in the same year, Banerjee (2020b, Journal of Health Management, 22(3), 466–471) explained this paradox. Now with NFHS-V data coming out, time is apt to test the robustness of Banerjee’s findings (2002a). However, owing to the incomplete NFHS-V data published so far, unlike Banerjee (2002a) that has used data of 29 states, the present analysis is based on only 17 states. The findings support that the findings of Banerjee (2002a) were robust.
A Drug Discovery Approach for an Effective Pain Therapy through Selective Inhibition of Nav1.7

Chronic pain is a widespread disorder affecting millions of people and is insufficiently addressed by current classes of analgesics due to significant long-term or high dosage side effects. A promising approach that was recently proposed involves the systemic inhibition of the voltage-gated sodium channel Nav1.7, capable of cancelling pain perception completely. Notwithstanding numerous attempts, currently no drugs have been approved for the inhibition of Nav1.7. The task is complicated by the difficulty of creating a selective drug for Nav1.7, and avoiding binding to the many human paralogs performing fundamental physiological functions. In our work, we obtained a promising set of ligands with up to 5–40-fold selectivity and reaching 5.2 nanomolar binding affinity by employing a proper treatment of the problem and an innovative differential in silico screening procedure to discriminate for affinity and selectivity against the Nav paralogs. The absorption, distribution, metabolism, and excretion (ADME) properties of our top-scoring ligands were also evaluated, with good to excellent results. Additionally, our study revealed that the top-scoring ligand is a stereoisomer of an already-approved drug. These facts could reduce the time required to bring a new effective and selective Nav1.7 inhibitor to the market.
Toxoplasma gondii Seropositivity Interacts with Catechol-O-methyltransferase Val105/158Met Variation Increasing the Risk of Schizophrenia

Schizophrenia is a heterogeneous and severe psychotic disorder. Epidemiological findings have suggested that the exposure to infectious agents such as Toxoplasma gondii (T. gondii) is associated with an increased risk for schizophrenia. On the other hand, there is evidence involving the catechol-O-methyltransferase (COMT) Val105/158Met polymorphism in the aetiology of schizophrenia since it alters the dopamine metabolism. A case–control study of 141 patients and 142 controls was conducted to analyse the polymorphism, the prevalence of anti-T. gondii IgG, and their interaction on the risk for schizophrenia. IgG were detected by ELISA, and genotyping was performed with TaqMan Real-Time PCR. Although no association was found between any COMT genotype and schizophrenia, we found a significant association between T. gondii seropositivity and the disorder (χ2 = 11.71; p-value < 0.001). Furthermore, the risk for schizophrenia conferred by T. gondii was modified by the COMT genotype, with those who had been exposed to the infection showing a different risk compared to that of nonexposed ones depending on the COMT genotype (χ2 for the interaction = 7.28, p-value = 0.007). This study provides evidence that the COMT genotype modifies the risk for schizophrenia conferred by T. gondii infection, with it being higher in those individuals with the Met/Met phenotype, intermediate in heterozygous, and lower in those with the Val/Val phenotype.
Spring Festival Holiday Tourism Data Mining Based on the Deep Learning Model

With the advent of the era of big data, people have entered a situation of information overload, how do users filter out the information they need from a large amount of information. When users browse the website, they will record their search or click behavior, and the recommendation system will mine the data based on these data, and recommend the information they need for each user. With the birth of the recommender system, it has indeed changed the way people obtain information. Instead of relying solely on search engines to obtain information, it can obtain the information they want without people’s “consciousness. ” This shift has made it easier for people to access information. This paper conducts research on travel recommendation during the Spring Festival holiday. The paper introduces deep learning model and data mining technology, proposes that the recommendation system has three important modules, and obtains the corresponding flowchart. The recommendation system was optimized, and a comparison chart of coverage before and after optimization was obtained. Before optimization, the coverage rate of cities and scenic spots was 45.52% and 21.25%, respectively, and reached 55.65% and 49.81% after optimization.
The Use of Live Action, Animation, and Computer-Generated Imagery in the Depiction of Non-Human Primates in Film

Simple Summary Films offer a rare opportunity to share messages with a wide audience, although the messages provided can have negative effects on animal conservation, such as direct negative effects on animal welfare, increased illegal trade, and negative percepts among the public. Here we aim to understand how the medium used in film can impact the films gross profit worldwide and film critic consensus scores using 101 English-speaking films that portrayed any primate that debuted between 1 January 2000 and 31 December 2019. We found that films with computer-generated imagery (CGI) primates were more likely to have higher profits and critic scores. We suggest that the use of the CGI medium can positively impact the general public perception of primates, and this has the potential to create positive implications for conservation. Abstract For over 100 years, non-human primates (primates) have been a part of the now hundred-billion-dollar global film industry in a variety of capacities. Their use in the film industry is of concern due to the negative welfare effects on individuals, the potential for increased pet trade, and the conservation impacts of public perception. While the effects on human perception of using live primates in film have been studied, little research has been performed on their appearance in animation and none in computer-generated imagery (CGI). We aimed to investigate how the portrayal of primates varied between depiction medium types and how this related to the films’ performance with critics and in the box office. We observed 151 primates in 101 different English-speaking films that debuted between 2000 and 2019. For each appearance we recorded aspects of primate portrayals based on accuracy, anthropomorphism, environment, and agency displayed, along with the depiction medium. We used structural equation models to depict the highest likelihood of the portrayal aspects on the medium’s relationship to the films gross profit worldwide and film critic consensus scores. We found that over the 20-year time frame, use of live primates has decreased, CGI has increased, and animations have remained relatively steady. While animation had no significant relationship to gross profit or critic consensus, both were significantly lower for films that used live primates and were significantly higher for films that used CGI primates. Due to the steady increase in the use of the CGI medium and its positive relationship with gross profit and critic consensus, it could have great effects on people’s perceptions of primates and implications for conservation efforts.
Corporate Liquidity Management in Emerging Economies under the Financial Constraints: Evidence from China

The main purpose of this article is to investigate the impact of the optimum level of cash holdings on corporate performance. Moreover, in this paper, the impact of financial constraints is tested as moderating factor between the relationship of cash holdings and corporate performance. The present study uses the system generalized method of moments (GMM) as the main estimation methodology. Using a sample of companies listed on stock exchanges of China, empirical pieces of evidence find that cash holdings-corporate performance relation is a nonlinear concave and depicts similar evidence for firms with financial constraints. The financially constrained firms maintain optimal cash holding at a higher level, which corresponds to debt rationing, difficulty to access financial markets, and the high cost of external finance. Moreover, propensity-score-matching depicts statistically significant differences in the level of cash holdings amid financially constrained and unconstrained firms. Finally, the difference-in-difference estimator shows that financial crisis affects less financially constrained firms due to low reliance on external financing.
Implementasi Lesson Study Untuk Meningkatkan Kinerja Dosen Matematika Stmik Duta Bangsa Surakarta

Tujuan penelitian ini adalah meningkatkan kinerja dosen matematika pada proses perkuliahan melalui kegiatan lesson study dalam pelaksanaan pembelajaran. Penelitian ini merupakan penelitian tindakan yaitu menerapkan lesson study untuk meningkatkan kinerja dosen matematika. Metode pengumpulan data yaitu observasi terhadap dosen model dalam perkuliahan, metode angket dan wawancara mendalam. Penelitian ini dilaksanakan di sebuah Sekolah Tinggi Manajemen dan Ilmu Komputer di Surakarta. Pelaksanaan penelitian dimulai bulan Oktober – November 2016 sebanyak dua siklus penelitian. Subjek dalam penelitian ini adalah 4 dosen dengan keahlian matematika. Instrumen yang digunakan dalam penelitian ini adalah lembar observasi, pedoman wawancara dan angket tertutup tentang respon mahasiswa setelah dosen mengajar. Metode analisis data menggunakan pendekatan proses siklik yakni data dianalisis sejak tindakan pembelajaran dilaksanakan (sejak dari plan-do-see), dikembangkan selama proses pembelajaran berlangsung sampai diperoleh pembelajaran yang berkualitas/professional. Metode analisis data ini terdiri dari tiga langkah yaitu; reduksi data, penyajian data dan verifikasi, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa dengan implementasi kegiatan lesson study dapat meningkatkan kinerja dosen matematika pada proses perkuliahan. Kata Kunci: Lesson study, Kinerja Dosen, matematika
Application of Ultrasound in Assessment of Biologics Efficacy in Patients with Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease, which is characterized by synovitis and extra-articular inflammation, leading to joint destruction and deformity and increased morbidity and mortality. The prevalence of RA is estimated to be 1% globally, 0.53%–0.55% in the United States in 2014 and is more prevalent in middle-aged female and elderly patients. [1] The diagnosis of RA is based on the 1987 American College of Rheumatology (ACR) revised classification criteria or the ACR/EULAR 2010 RA classification criteria,[2] which focused on specific clinical manifestations, immunological tests for rheumatoid factor and anti-cyclic citrullinated peptide antibodies, and inflammatory markers such as erythrocyte sedimentation rate (ESR) and C-reactive protein. However, with the widespread application of ultrasound in RA recently, it has become a helpful tool for facilitating early diagnosis of RA. The ultrasound features of RA include synovial hypertrophy associated with increased Doppler signals, cortical bone erosion, extensor carpi ulnaris tenosynovitis, and posterior tibialis tenosynovitis among affected joints. [3] Recently, our ultrasound research team developed a 40-joint ultrasound program (proximal interphalangeal joints, metacarpophalangeal [MCP] joints, wrists, elbows, shoulders, knees, ankles, and metatarsophalangeal joints), to enhance the early detection and early intervention for RA and to promote long-term remission of RA. [4]
The Calcium-dependent Association and Functional Coupling of Calmodulin with Myocardial Phospholipase A 2 IMPLICATIONS FOR CARDIAC CYCLE-DEPENDENT ALTERATIONS IN PHOSPHOLIPOLYSIS*

Herein we demonstrate the calcium-dependent regu- lation of myocardial phospholipase A 2 activity, which is mediated by a cytosolic protein constituent that can be chromatographically resolved from, and subsequently reconstituted with, purified myocardial phospholipase A 2 . Purification of this protein by sequential column chromatographies revealed an 18-kDa doublet, which was identified as calmodulin by Western blotting, calci- um-dependent precipitation with W-7 agarose beads, and reconstitution of calcium-mediated phospholipase A 2 inhibition with authentic homogeneous calmodulin. Calcium-induced calmodulin-mediated inhibition of myocardial phospholipase A 2 was titrated by physio- logic increments of calcium ion ( K d (cid:59) 200 n M ). Moreover, ternary complex affinity chromatography with calmod- ulin-Sepharose demonstrated that inhibition of myocardial phospholipase A 2 activity by calmodulin resulted from the direct interaction of calmodulin with the myocardial phospholipase A 2 catalytic complex. Exposure of cultured A-10 muscle cells to three structurally disparate calmodulin antagonists (W-7, trifluoperazine, and calmidazolium) resulted in the robust release of arachidonic acid, which was entirely ablated by pretreatment of cells with ( E )-6-(bromomethylene)-3-(1-naphthalenyl)-2-H-tetrahydropyran-2-one. Collectively,
Other Applications of Thermal Cameras and Developing Handle Temperature Camera

Thermal cameras are useful devices, Today, advanced thermal imaging devices with high sensitivity are being developed and used, especially in the medical field (Lahiri et al., 2012). Products from the research results of the author group towards compact size, easy to handle, convenient to carry, low cost of implementation, monitoring range in the measuring area of the sensor eye up to 7 meters, the monitoring temperature zone can be limited, the color displayed is equivalent to the temperature zone, and the resolution of the thermal pixels can also be adjusted simply through the buttons. In order to expand the application range of research products, improve accuracy, reliability, increase resolution, etc., it is possible to use more measuring sensor eyes, use wireless communication networks, accurate image recognition and processing algorithms, large display screen to facilitate monitoring more clearly.
Ionospheric Turbulence: A Challenge for GPS Loss of Lock Understanding

Ionospheric irregularities may affect electromagnetic signals propagating through the ionosphere and consequently contribute to the malfunctioning of the Global Navigation Satellite Systems hindering their accuracy and reliability. In this study, we use data recorded on board two of the three satellites of the Swarm constellation (namely, Swarm A and Swarm B) from 15 July 2014 to 31 December 2021 to assess the possible dependence of the Global Positioning System (GPS) signals loss of lock on the presence of a specific kind of ionospheric irregularities. To accomplish this task we study the scaling features of the electron density fluctuations through the structure function analysis simultaneously to the occurrence of loss of lock events through measurements recorded by the Langmuir probes and the precise orbit determination antennas on board Swarm A and Swarm B satellites. We find that the plasma density irregularities in a turbulent state characterized by intermittent structures and extremely high values of the Rate Of change of electron Density Index can lead to GPS loss of lock events. This is always true at mid and high latitudes, especially inside the auroral oval. In the equatorial belt, this happens in at least 75% of identified GPS loss of lock events that basically coincide with the occurrence of plasma bubbles.
Corneal Endothelial Cell Density in Normal Tension Glaucoma Compared to Healthy Controls

The purpose of this study was to investigate corneal endothelial cell density (ECD) and morphology between normal tension glaucoma (NTG) and controls. A cross-sectional, single center study of 24 NTG and 26 age-matched healthy eyes were included. ECD, mean cell size (MCA) and coefficient of variance (CV) were analyzed, controlling for age and number and duration of concurrent glaucoma medications. NTG subjects had significantly lower ECD (2307 ± 514.7 vs. 2558 ± 278.5, p = 0.044) and larger MCA (458.3 ± 94.8 vs. 386.7 ± 57.3, p = 0.004), but no difference in CV compared to healthy subjects. NTG subjects stratified by number of glaucoma medications showed significant differences in ECD (p = 0.024) and MCA (p = 0.021), but no difference in CV. There were no significant differences in ECD, MCA or CV between subjects stratified by duration of glaucoma medication usage. After age-adjusting, there was no dose-dependent relationship between mean ECD or MCA and number of glaucoma medications. Post hoc analysis demonstrated only NTG subjects on three or more glaucoma medications had statistically significant differences in ECD (p = 0.032) and MCA (p = 0.037) compared to NTG subjects on two glaucoma medications. This study suggests that NTG is associated with lower corneal endothelial cell density and mean cell size.
Examining Supervised Machine Learning Methods for Integer Link Weight Prediction Using Node Metadata

With the goal of understanding if the information contained in node metadata can help in the task of link weight prediction, we investigate herein whether incorporating it as a similarity feature (referred to as metadata similarity) between end nodes of a link improves the prediction accuracy of common supervised machine learning methods. In contrast with previous works, instead of normalizing the link weights, we treat them as count variables representing the number of interactions between end nodes, as this is a natural representation for many datasets in the literature. In this preliminary study, we find no significant evidence that metadata similarity improved the prediction accuracy of the four empirical datasets studied. To further explore the role of node metadata in weight prediction, we synthesized weights to analyze the extreme case where the weights depend solely on the metadata of the end nodes, while encoding different relationships between them using logical operators in the generation process. Under these conditions, the random forest method performed significantly better than other methods in 99.07% of cases, though the prediction accuracy was significantly degraded for the methods analyzed in comparison to the experiments with the original weights.