Miracle-dz/UniFAR-FTUs huggingface dataset:
Mailed letter versus phone call to increase diabetic retinopathy screening engagement by patients in a team-based primary care practice: a prospective, single-masked, randomized trial.

Background: Diabetic retinopathy is the leading cause of blindness among adults, but vision loss is preventable through regular screening. Urban areas in Canada have large numbers of unscreened individuals and teleophthalmology programs have been used to improve access and uptake of screening. The purpose of this study was to test different patient engagement approaches to expand teleophthalmology program to team-based primary care clinic in the city of Toronto, Canada.Methods: A teleophthalmology program was set up in a large urban academic team-based primary care practice. Patients over 18 years of age, with type 1 or type 2 diabetes were randomized to one of four engagement strategies: a phone call, a letter, a letter plus phone call, or usual care. Outreach was conducted by administrative staff within the clinic. The primary outcome was booking an appointment for diabetic retinopathy screening through a teleophthalmology program at the time of the call or within one week for the mail intervention. Results: A total of 23 patients in the phone, 28 in the mail, 32 in the mail and phone, and 27 in the control (usual care) were included in the analysis. After the intervention, 88% of patients in the phone intervention, 11% of patients in the mail group, and 100% in the mail and phone group booked an appointment with the teleophthalmology program compared to 0% in the control group. Phoning patients positively predicted patients booking a teleophthalmology appointment (p< .0001), while sending a letter had no effect. Conclusions: Patient engagement to book diabetic retinopathy screening via teleophthalmology in an urban academic team-based primary care practice using telephone calls was much more effective than letters or usual care. Practices that have access to a local DR screening programs and have the required resources to undertake such engagement strategies should consider using them as a means in improving their DR screening rates.
CCRobot-IV: An Obstacle-Free Split-Type Quad-Ducted Propeller-Driven Bridge Stay Cable-Climbing Robot

This letter presents CCRobot-IV, the fourth version of a climbing robot designed for bridge cable-inspection tasks. CCRobot-IV inherits design features from the previous CCRobot series, and has improved capability for crossing cables with obstacles such as helical ribs, small metal accessories, and various other obstacles. CCRobot-IV consists of a quad-ducted propeller-driven climbing precursor and an affiliated payload-carrying body. Because a quad-ducted propeller does not depend on friction generated by mutual contact and extrusion, the precursor’s locomotion is decoupled from the surface of the bridge cable and the obstacles on it. When the precursor climbs up to reach the set position, it uses its gripper’s self-locking palms to grasp the bridge cable, which creates a fixed anchor point that allows the payload-carrying body to pull itself up using wires and two winches (which are a type of driving wheel that do not require extrusion force on the cable to produce adhesion and friction). Therefore, the robot’s payload capacity is also decoupled from adhesion to the cable surface, and thus the entire system has obstacle-free operation. Experimental tests and field tests have demonstrated CCRobot-IV’s climbing performance, payload capacity, and potential application utility.
Engaging Parents and Health Care Stakeholders to Inform Development of a Behavioral Intervention Technology to Promote Pediatric Behavioral Health: Mixed Methods Study

Background Despite effective psychosocial interventions, gaps in access to care persist for youth and families in need. Behavioral intervention technologies (BITs) that apply psychosocial intervention strategies using technological features represent a modality for targeted prevention that is promising for the transformation of primary care behavioral health by empowering parents to take charge of the behavioral health care of their children. To realize the potential of BITs for parents, research is needed to understand the status quo of parental self-help and parent-provider collaboration to address behavioral health challenges and unmet parental needs that could be addressed by BITs. Objective The aim of this study is to conduct foundational research with parents and health care stakeholders (HCS) to discover current practices and unmet needs related to common behavioral health challenges to inform the design, build, and testing of BITs to address these care gaps within a predominantly rural health system. Methods We conducted a convergent mixed-parallel study within a large, predominantly rural health system in which the BITs will be developed and implemented. We analyzed data from parent surveys (N=385) on current practices and preferences related to behavioral health topics to be addressed in BITs along with focus group data of 48 HCS in 9 clinics regarding internal and external contextual factors contributing to unmet parental needs and current practices. By comparing and relating the findings, we formed interpretations that will inform subsequent BIT development activities. Results Parents frequently endorsed several behavioral health topics, and several topics were relatively more or less frequently endorsed based on the child’s age. The HCS suggested that BITs may connect families with evidence-based guidance sooner and indicated that a web-based platform aligns with how parents already seek behavioral health guidance. Areas of divergence between parents and HCS were related to internalizing problems and cross-cutting issues such as parenting stress, which may be more difficult for health care HCS to detect or address because of the time constraints of routine medical visits. Conclusions These findings provide a rich understanding of the complexity involved in meeting parents’ needs for behavioral health guidance in a primary care setting using BITs. User testing studies for BIT prototypes are needed to successfully design, build, and test effective BITs to empower parents to take charge of promoting the behavioral health of their children.
Intelligent Nutrition Diet Recommender System for Diabetic’s Patients

Diabetes is one of the ever-increasing menace crippling millions of people worldwide. It is an independent risk factor for many cardiovascular diseases including medium and small vessels and results in heart attack, stroke, kidney failure, blindness, and lower-limb amputations. According to a World Health Organization (WHO) report estimated 1.6 million deaths were the direct result of diabetes. Nutrition plays a vital role in diabetes management alongside physical activity, drugs, and insulin. Weight management can help to avert or delay at pre-diabetic stages. This research work explains the features of the Nutrition Diet Expert System (NDES), which will preferably be used by the health care professionals (HCPs) for calculating per day calorie requirements of diabetic patients and recommend the best diet plan to control diabetes. The primary objective of this proposed model for diet plan is to help individuals attain healthy body weight and optimum check on diabetes by gaining control over blood pressure and lipid count. The ultimate focus of this research result is prevention of diabetes related complications using nutrition diet expert system. In this paper, proposed recommender system has come in handy in figuring out the diet plan by determining the individual dietary requirements at the level of micro and macro nutrients for expert system using fuzzy logic. The results are very promising indicating testing and assessment of the expert system worked well for the individual diet plan.
Modelling HIV/AIDS Cases in Zambia: A Comparative Study of the Impact of Mandatory HIV Testing

In this study, a time series modeling approach is used to determine an ARIMA model and advance counterfactual forecasting at a point of policy intervention. We consider monthly data of HIV/AIDS cases from the Ministry of Health (Copperbelt province) of Zambia, for the period 2010 to 2019 and have a total of 120 observations. Results indicate that ARIMA (1, 0, 0) is an adequate model which best fits the HIV/AIDS time series data and is, therefore, suitable for forecasting cases. The model predicts a reduction from an average of 3500 to 3177 representing 14.29% in HIV/AIDS cases from 2017 (year of policy activation) to 2019, but the actual recorded cases dropped from 3500 to 1514 accounting for 57.4% in the same time frame.
Synthesis of Attaining Sustainable Development Goal 6.5: A Case Study of Mano River

The Mano River is a transboundary river that runs through Cote d’Ivoire, Liberia, Guinea, and Sierra Leone. According to a 2018 United Nation report on Sustainable Development Goal (SDG) 6.5, which aims to improve the adoption of cohesive water resource management by 2030; the impact of this goal on the Mano River management is minimal. The research summarizes previous studies using an integrative literature review method, drawing general conclusions and identifying unsolved problems with respect to water resources management. The research finding demonstrated that existing water stress and poor management as exacerbated by socioeconomic practices in the region are the major threats to achieve SDG 6.5. As a result of these activities, long-term management of the river basins has become extremely difficult. The research informs a discussion to achieve cooperative water resource management, which is best achieved by shared collaboration and shared interests as described by SDG 6.5.
Optimization of temperature and molar flow ratios of triglyceride/alcohol in biodiesel production in a batch reactor

ABSTRACT Biodiesel is an alternative diesel fuel that is produced from vegetable oils and animal fats. The development of alternative fuels from biodegradable resources has been considered seriously in recent years. In this work the optimization of a batch pilot performance for the production of biodiesel was investigated. The optimization was performed through studying the operating conditions including reaction temperature and molar flow ratios of triglyceride/alcohol, for the minimization of reaction time and also maximization of methyl ester (biodiesel) concentration by finding the best temperature profile in an appropriate time (100 min). The optimization was done by programming in MATLAB® software. During the simulations the triglyceride/alcohol molar flow ratios were examined at values of 1:1, 1:2, 1:4 and 1:6, of which the best value was the mole ratio of 1:4. Additionally, the best temperature profile was achieved for this molar flow ratio, which was equal to 334 K.
Does a CEO's Cultural Background Affect Community Related CSR Activities?

By using the large sample having the 9658 observations, this study investigates the impact of the CEO's cultural background on the community-related CSR activities. From the empirical analysis, it is found that different cultural dimensions affected differently. Individualistic and masculine CEOs are positively and significantly related to community-related CSR activities. It is also found that uncertainty avoidance is negatively and significantly related to community-related CSR activities. This study has used the data from the year 2002 to 2015 and employed a pooled regression technique to find the empirical results. This is the first study in its nature and provides a direction for future research.
CEO Turnover and Equity Volatility

Purpose of the paper: This study aims to investigate changes in equity volatility around CEO turnovers. It proposes hypotheses regarding the impact of CEO performance and types of turnover on the changes in equity volatility. It extends the current understanding of the existing theories by providing new empirical evidence. Design/methodology/approach: This paper uses both event study and regression analysis to examine and test the hypotheses proposed empirically. Data are obtained from multiple databases. Findings: This study finds evidence that the relationship between changes in equity volatility and the likelihood of CEO turnovers does not monotonically increase, but is a function of the various types of turnovers and successions. Compared to the departure of outperforming CEOs, the change in equity volatility following the departure of underperforming CEOs is much greater. The positive relationship between the change in volatility and past underperformance is stronger for forced turnovers than for voluntary turnovers. Equity volatility is substantially lower when the CEO relinquishing the post remains as an executive chairman, especially for those successions involving outside appointments. Originality/value: This paper extends the strategy and ability hypothesis by investigating the behaviour of equity volatility around CEO departures in case of prior under or outperformance along with the forced or voluntary nature of the turnover and provide new empirical evidence on the theories.
The Basic Motion Learning Model of Small Game Based Throwing in Elementary School

This study aims to develop a small game-based basic motion learning model at Elementary School Number 65 Rejang Lebong. The research method used is research and development (R&D) using ten stages from Borg and Gall. The research instruments used were locomotor, non-locomotor tests, and manipulative basic movement skills tests. The treatment in this study was in the form of a basic motion learning model based on small games given for 4 weeks. The subjects in this study were students in grades 4 and 5 of Elementary School Number 65 Rejang Lebong. Subjects in this study were 30 people. The validation results obtained in small-scale trials regarding the quality of the learning model have entered into the validation criteria filled by the validator with a percentage of 63% and the results of large group trials are declared valid with a percentage of 81.25% which means very feasible. Furthermore, the effectiveness test was carried out using the t-test. In the significance test of the difference using the SPSS tool, the mean value = 0.8666 which shows the difference between the pre-test and post-test results, the results of T-count = 13.730, df = 29, and P-Value = 0.000 <0.05, which means that there are There is a significant difference between before and after being treated with the small game-based learning model of throwing basic motion learning. Where the post-test results have positive results with a significant difference compared to the pre-test results. So that the learning model of the basic motion of throwing based on small games can be used in learning physical education and health in elementary schools. The implication of this research is that the basic motion learning model of throwing based on small games can be used as a form of learning the basic motion of throwing in elementary school children.
Wideband Dielectric Resonator Antenna With Dual Circular Polarization

In this communication, two wideband dual-polarized dielectric resonator antennas (DRAs) for X-band radar applications are presented. The design procedure is started with designing a linear polarized DRA fed by a microstrip line. The feedline is optimized to excite the hybrid electromagnetic (HEM) $_{11 \delta }$ modes of DRA which corresponds to magnetic monopole-like radiation. Then, a novel quadrature hybrid is designed in the feeding structure to provide both left-hand circular polarization (LHCP) and right-hand circular polarization (RHCP). Finally, two antenna prototypes are fabricated and tested: a dual (right hand and left hand) circular polarization DRA with omnidirectional pattern and an enhanced gain version of dual-polarized circular polarized (CP) DRA with a directive pattern. The measurement results of antennas confirm wideband impedance bandwidth (34% and 38.8%) as well as wideband axial ratio (AR) ones (23% and 30%) in element and array structures, respectively. The antennas also provide both RHCP and LHCP radiation. The first antenna contains monopole-like radiation which is aimed at wireless systems with omnidirectional pattern requirements. The second antenna, a $2\times 1$ antenna array, presents around 9 dB across the entire band. The presented antennas are good candidates for radar applications such as weather monitoring, air traffic control, and vehicle speed detection.
Complex magmatic-tectonic interactions during the 2020 Makushin Volcano, Alaska, earthquake swarm

<p>We investigate the processes driving<strong> </strong>a significant earthquake swarm that occurred between June and December 2020 on Unalaska Island, Alaska, ~12 km southeast of the summit of Makushin Volcano. The swarm was energetic, with two M>4 events that were widely felt by the population in Dutch Harbor, ~ 15 km west of the epicenters. This is the strongest seismic activity ever recorded at Makushin since instrumental monitoring began in 1996. To date, no eruptive activity or other surface changes have been observed at the volcano in satellite views, webcam images, GPS or InSAR. Seismic swarms close to volcanoes are often associated with the onset of unrest that can lead to eruption. However, determining whether they reflect magmatic rather than tectonic stresses is challenging. Here, we integrate information from space-time patterns of the hypocenters of the swarm earthquakes with their double-couple fault-plane solutions (FPS). We relocate swarm events using double-difference relocation techniques and a 3D velocity model. We find that most of the events cluster into two perpendicular lineaments with NW-SE and SW-NE orientations, but no apparent migration in time towards a preferred fault. On the one hand, the lack of temporal migration (with both faults slipping concurrently), and FPS for M3+ events consistent with regional stresses, seem to indicate a tectonic driving process. On the other hand, FPS for the lower-magnitude earthquakes have 90&#176;-rotated P-axes perpendicular to the regional principal stress orientation, providing strong evidence for dike inflation/magma intrusion. Coulomb stress modeling indicates that the rotated FPS are best explained by an inflating dike to the SW of the swarm epicenters, in a zone of long-term elevated seismicity. This complex overlapping of regional and magmatic stresses is also evident in the statistical analysis of the sequence, which started as a main-shock/aftershock sequence with the first event having the largest magnitude, and evolved into a swarm sequence indicative of a more pronounced role of magmatic processes. </p>
Green and Efficient Synthesis of a Novel Series of Indeno-Fused Pyrido [2,3-d] Pyrimidines Using Choline Hydroxide as Eco-Friendly Catalyst in Water

A series of 13 aryl indeno[2’,1’:5,6]pyrido[2,3-d]pyrimidine-2,4,6-(3H,5H,11H)-triones, 8 of which are new, were synthesized regioselectively in high yields by a threecomponent reaction of 1,3-indanedione, an araldehyde and 6-aminopyrimidin2,4(1H,3H)-dione in the presence of choline hydroxide as catalyst in water. The reaction conditions were mild and did not require additional catalysts. Given the inexpensive, nontoxic, and recyclable nature of the choline hydroxide, these reaction conditions are simple to carry out and environmentally friendly.
Sparse Based Particle Swarm Optimization Algorithm

Particle Swarm Optimization (PSO) is the well-known metaheuristic algorithm for optimization, inspired from swarm of species.PSO can be used in various problems solving related to engineering and science inclusive of but not restricted to increase the heat transfer of systems, to diagnose the health problem using PSO based on microscopic imaging. One of the limitations with Standard-PSO and other swarm based algorithms is large computational time as position vectors are dense. In this study, a sparse initialization based PSO (Sparse-PSO) algorithm has been proposed. Comparison of proposed Sparse-PSO with Standard-PSO has been done through evaluation over several standard benchmark objective functions. Our proposed Sparse-PSO method takes less computation time and provides better solution for almost all benchmark objective functions as compared to Standard-PSO method.
ELECTRODEPOSITION OF CO-DOPED HYDROXYAPATITE COATING ON 316L STAINLESS STEEL

Hydroxyapatite (HAp) co-doped by magnesium (Mg), st rontium (Sr), sodium (Na) and fluorine (F) was deposited on the 316L stainles s steel (316L SS) substrate by electrodeposition method. The influences of scannin g potential ranges, scanning times, scanning rates to form MgSrFNaHAp coating were investigated. The analytical results of FTIR, SEM, Xray, EDX, thickness and adhension of the obtained coating at scanning potential ranges of 0 ÷ 1.7 V/SCE; scaning times of 5, scanning rate of 5 m V/s showed that MgSrFNaHAp coatings were single phase crystals of HAp, exhibiting rod s hape with the thickness of 8.9 μm and the adhesion strength reaching 8.38 MPa.
Band gap engineering in ruthenium‐based Heusler alloys for thermoelectric applications

In this work, systematic electronic structure calculations are performed on Ru2TiZ alloys to examine their structural and thermoelectric related transport properties. The electronic structural properties are analyzed using the GGA and GGA+U as exchange correlational potential. The calculated lattice parameters agree very well with the existing experimental data, and the percentage of error is less than 1%. The electronic structural properties as analyzed, using the GGA exchange correlation scheme, reveal that these alloys can be semimetals. In the band structure, it is observed that ruthenium‐d and titanium‐d states are lying very close to the Fermi level. Hence, computations are performed again by including the Hubbard potential for d states of ruthenium and titanium. The calculated electronic structure in GGA+U reveals that all the 3 alloys are semiconductors with the indirect energy gap of 0.209, 0.175, and 0.259 eV, respectively, for Ru2TiSi, Ru2TiGe, and Ru2TiSn. The electrical transport coefficients are calculated in both the GGA and GGA+U exchange correlational potential and reported. If experimentalists prove that these alloys are semiconductors, then all 3 alloys will be potential thermoelectric materials. If by experiment they are semimetals, only then Ru2TiSn can be a good thermoelectric material. Doping of electron and hole for various concentrations is studied for Ru2TiSn, and optimum doping level is reported.
Functionalized multi-walled carbon nanotube/silver nanoparticle (f-MWCNT/AgNP) nanocomposites as non-enzymatic electrochemical biosensors for dopamine detection

Abstract Dopamine (DA) is an important neurotransmitter in the kidney, cardiovascular system, and central nervous system, which abnormality is associated with many diseases. In this work, we synthesized a functionalized multi-walled carbon nanotube/silver nanoparticle (f-MWCNT/AgNP) nanocomposites as the biosensing material to detect DA. The SEM, EDS, and TEM characterizations indicated the success of the functionalization process with MWCNT as the base material. The values of the linear range, the limit of detection (LOD), and the selectivity of the nanocomposite were all obtained from the Differential Pulse Voltammetry (DPV) measurements. The obtained LOD value was 0.2778 µM in the linear range of 0–8 µM, which is lower than the required concentration value for detecting DA in human urine (0.3–3 µM). The biosensor’s high selectivity on DA with the presence of other human-related biofluids was also reported. These results show that f-MWCNT/AgNP nanocomposites are a promising biosensor material for the detection of DA. Graphical Abstract