Fair Rate Research Articles

Development of The Search, Solve, Create, and Share (SSCS) Model with Strengthening Information Literacy for High School Students

This study aims to develop the search, Solve, Create, and Share (SSCS) Model with information literacy reinforcement to improve students' ability to write explanatory texts. This study used the research and development with the ADDIE model, which involved Analyze, Design, Develop, Implement, Evaluate. This study employs various data collection techniques, including interviews to understand learning issues, questionnaires to identify student needs and assess product validity, and tests to measure writing skills. The instruments used include observation sheets, questionnaires, interview guidelines, and scoring rubrics, all aimed at supporting the development of the instructional model. The results showed that the SSCS model with information literacy succeeded in improving students' skills that had been tested on 85 students in three high schools in Brebes Regency. The results showed that 16% of students received excellent ratings, 80% of students received good ratings, and 4% received fair ratings. Evaluations from teachers and students indicated positive acceptance of the model, although there were certain aspects which required further adjustments. This study provides a strong foundation for implementing the development of this model in the practice of learning to write explanatory texts in senior high schools.

Correlates of low resilience and physical and mental well-being among Black youths in Canada

BackgroundResilience has gained considerable attention in the mental health field as a protective factor that enables individuals to overcome mental health issues and achieve positive outcomes. A better understanding of resilience among Black youth is important for supporting the strengths and capacities within this population. This study seeks to investigate the correlates of resilience among Black youths in Canada.MethodsThe survey was conducted online through REDCap between November 2022 and March 2023. The Brief Resilience Scale (BRS) was utilized to measure the capacity of participants to recover from or bounce back from stress. The BRS comprises six five-point Likert scale items. Data were analyzed employing a bivariate analysis followed by a multivariable binary logistic regression.ResultsA total of 933 Black youths participated in the study across all Canadian provinces, of which 51.8% (483) identified as female and 46.7% (436) as male. Most respondents 51.3% (479) were between the ages of 16 and 20 years, with 28% (261) between the ages of 21 and 25 years, and 20.2% (188) between the ages of 26 and 30 years. In terms of employment, 62.0% (578) were working part-time, 23.7%, (220) were unemployed, and 9.8% (91) were working full-time. Over a third of participants (39.3%, 331) rated their mental health over the last month as good, with 34% (317) giving a rating of poor and 20.9% (195) giving a rating of fair. Black youths who were working part-time had four times greater odds of expressing low resilience (OR: 4.02; 95% CI: 1.82–11.29) than those who were not working. Black youth who ranked their mental health as poor were about nine times (OR: 8.65; 95% CI: 1.826–21.978) more likely to express low resilience.ConclusionIn this study, the Black youth participants reported relatively low resilience scores. Employment, physical health, and mental health status were factors that contributed to low resilience. Further studies are needed to examine the causal link between resilience and its dynamic effect on health outcomes among Black youth. More interventions are needed to make mental health services accessible to Black youth in a more culturally sensitive way with cross-culturally trained professionals.

The association between patient-reported experiences with hospital food services and recovery outcomes – A population survey of patients from 75 public hospitals

BackgroundThe quality of food service is vital to patients’ experiences in care and recovery in hospitals. This study aimed to identify opportunities for improving hospital food services to enhance overall patient experiences and outcomes. MethodsThis retrospective cross-sectional study uses the Adult Admitted Patient Survey in 2019. Adult patients discharged from acute or rehabilitation care from 75 public hospitals were surveyed about their in-hospital experiences, including ratings of hospital food services, overall ratings of hospital care, complications acquired, and delayed discharge due to feeling unwell. Population weighting was applied in descriptive and multivariable logistic regression analyses. We used adjusted odds ratios (AORs) and 95% confidence intervals (CIs) to estimate the association between hospital food service and the overall rating of hospital care and two recovery outcomes. ResultsEight in ten participants (weighted, 16,919/21,900) consumed food in a hospital [mean age: 60.6 years (SE:0.5; SD: 18.3), 53% female]. Compared to a fair rating, adults who rated “poor/very poor” of hospital food service were 2.7 times more likely to report dissatisfaction with overall care in the hospital [Adjusted Odds Ratio (AOR) (95% CI): 2.73 (1.49, 4.99)], 1.4 times more likely to report complications [AOR:1.43 (1.11, 1.83)] and 1.9 times more likely to report delayed discharge [AOR 1.85 (1.30, 2.62)]. More moderate ratings were associated with attenuation of risk for these outcomes. Furthermore, the magnitude of the effect for these associations was more substantial among patients from non-English-speaking backgrounds (n=1,759) after controlling for patient characteristics. Foodservice attributes, including received food as ordered, food delivered within reach, the taste of the meals, and meal interruption, were significant factors for the outcomes assessed. ConclusionThese findings underscore the importance of patients’ positive experiences of hospital food service in recovery outcomes and identify several food service indicators that can be used to monitor and improve patient experiences and recovery outcomes in hospitals.

Transrectal Ultrasound in Cervical Cancer: A Systematic Review of its Current Application.

The use of transrectal ultrasound (TRUS) is established in prostate cancer but remains limited in cervical cancer. This systematic review aims to aggregate and describe the current use and advancements of TRUS in cervical cancer to identify gaps in the literature. This study follows a protocol registered in the PROSPERO database (CRD42024520099). It includes cervical cancer patients confirmed by histopathological analysis, where TRUS was used for diagnosis or as an adjunct to therapeutic procedures. Cross-sectional, case-control, cohort, or randomized controlled trials published in any language were included. The risk of bias was assessed using the Newcastle Ottawa Scale (NOS). From an initial pool of 3380 articles, 50 duplicates were removed, leaving 3330 unique articles. After screening titles and abstracts, 2932 articles were excluded, resulting in 31 studies included in the review. These studies involved 1635 women with cervical cancers, with a mean age of 52.9years. Histopathologically, 81.2% were squamous cell carcinoma (SCC), and 39.6% were at FIGO stage IIB. Nineteen studies were prospective, five retrospective, and fourteen used consecutive sampling. Only 10 articles had a fair rating, while the rest received poor ratings. Complications from post-TRUS included pain (N = 106), haemorrhage (N = 59), and perforations (N = 10). TRUS was used in seven areas, including cancer extension and pre-operative assessment. It showed a strong correlation with MRI but had lower sensitivity. TRUS was useful in staging, diagnosis, and guiding brachytherapy, demonstrating comparable accuracy to MRI in several instances. The recommended use of TRUS in cervical cancer is still limited in formal guidelines, and clinical research remains insufficient. The online version contains supplementary material available at 10.1007/s13224-024-02047-8.

Evaluating patient-reported adherence and outcomes in specialty disease states: A dual-site initiative.

Patient-reported outcomes (PROs) are often used by clinicians to evaluate patient response to specialty medications used to treat multiple sclerosis (MS) and rheumatologic conditions. Identifying associations among PROs and patient characteristics could inform patient-centered treatment monitoring. To examine the association among patient characteristics and PROs, including patient-reported adherence (defined as no missed doses), medication tolerance, patient perceived effectiveness, and health care resource utilization (HCRU; defined as emergency department visits or hospitalizations), for patients prescribed specialty medications in 2 health system specialty pharmacies. A dual-center, retrospective review of monthly medication assessments completed by Vanderbilt Specialty Pharmacy and University of Illinois Hospital and Health Sciences System specialty pharmacy was conducted. Patients were included if they received at least 3 fills of a specialty medication from rheumatology or MS clinics from October 2019 to March 2022, excluding patients with more than a 30-day supply. Primary outcomes were the PROs of patient-reported adherence, medication tolerability, perceived effectiveness, and HCRU. For each of the 2 primary outcomes (adherence and tolerability), a mixed-effects logistic regression model was used to test for associations with age, sex, race, clinic, site, and the other PROs. A total of 61,926 assessments were completed from 3,677 patients (Site 1 = 3,346; 91.0% and Site 2 = 331; 9.0%). Patients were predominantly White (75.6%) and female (71.7%) with a median age of 50 years (IQR = 37-61). Assessments most frequently originated from rheumatology (76.0%). Nonadherence was reported 4.0% of the time, with the most common explanations being forgetfulness (33.1%) and medication being held because of a procedure or illness (29.5%). Most responses indicated perceived effectiveness as good/excellent (93.9%), with 98.5% of responses indicating no issues with tolerability. Patients who reported tolerability issues were 2.5 times more likely to report a missed dose (95% CI = 1.87-3.23, P < 0.001). An effectiveness rating of fair was associated with a 61% increase in the odds of a missed dose compared with a rating of good/excellent (95% CI = 1.33-1.94). Patients filling rheumatology or MS specialty medications within health system specialty pharmacies reported high rates of medication effectiveness and adherence and low rates of issues with tolerability and HCRU. Patients who report tolerability issues or lower perceived effectiveness may benefit from additional monitoring to prevent nonadherence.

평가의 공정성 인식이 EVLN 및 조직시민행동에 미치는 영향과 리더의 평가자 평가행동에 대한 연구

평가의 공정성 인식이 EVLN 및 조직시민행동에 미치는 영향과 리더의 평가자 평가행동에 대한 연구

Impacts of Virtual and on-Site Mentoring on Instructional Delivery Effectiveness of Secondary School Biology Teachers in Ecology

Impacts of Virtual and on-Site Mentoring on Instructional Delivery Effectiveness of Secondary School Biology Teachers in Ecology

The impact of interview quality on risk assessment of young people who sexually offend

Forensic risk assessments are used to determine sanctions, identify recidivism risk and inform implementation of risk reduction strategies. The best way to gather reliable data to inform decisions is important and the focus of this mixed-method study. Forty-five experienced professionals performed a risk assessment involving a young person who sexually offended (YPSO). They read a good-quality or a poor-quality interview and collateral information. Under half (42.2%) of participants provided the expected risk ratings. Some participants misidentified elements of good-quality interviewing (e.g. rapport, open questions). Ratings of fairness of the forensic interview were positively associated with increased sense of perceived interview quality. Confidence in risk-assessment decisions tended to be higher in the good-quality than the poor-quality interview group. Practitioners involved in the risk assessment of YPSO should receive effective/robust training in best practice interviewing so they can identify and implement empirically based interviewing techniques for care provision for YPSO.

Mapping the Landscape of Independent Food Delivery Platforms in the United States

Beyond the well-known giants like Uber Eats and DoorDash, there are hundreds of independent food delivery platforms in the United States. However, little is known about the sociotechnical landscape of these "indie'' platforms. In this paper, we analyzed these platforms to understand why they were created, how they operate, and what technologies they use. We collected data on 495 indie platforms and detailed survey responses from 29 platforms. We found that personalized, timely service is a central value of indie platforms, as is a sense of responsibility to the local community they serve. Indie platforms are motivated to provide fair rates for restaurants and couriers. These alternative business practices differentiate them from mainstream platforms. Though indie platforms have plans to expand, a lack of customizability in off-the-shelf software prevents independent platforms from personalizing services for their local communities. We show that these platforms are a widespread and longstanding fixture of the food delivery market. We illustrate the diversity of motivations and values to explain why a one-size-fits-all support is insufficient, and we discuss the siloing of technology that inhibits platforms' growth. Through these insights, we aim to promote future HCI research into the potential development of public-interest technologies for local food delivery.

Training to increase student perceptions of fairness in peer assessment

Peer assessment training was motivated, developed and evaluated to address fairness in higher education group learning. Team-centric pedagogies, such as team-based learning have been shown to improve engagement and learning outcomes. For many instructors using teams, peer assessments are integral for monitoring team performance and ensuring accountability. However, students often view the peer assessment process as unfair due to the potential for biased ratings or perceived lack of peer qualification. Peer assessment fairness training was developed by combining lessons learned from focus groups with instructors, students and learning experts with bias-reducing techniques found to be effective in other settings. The resulting training underwent a summative evaluation across multiple classrooms. Results indicated that students had higher perceptions of fairness in their peer assessments after training. Students were also more confident in their and their peers’ fair rating skills. These results indicate that classroom training could be used to increase peer assessment fairness. Fairer peer assessment provides enhanced access to active and team learning benefits to a broader range of students, potentially impacting the retention of a more diverse population of practitioners in the field.

Nitrogen-ion-irradiated defective tin oxyhydroxide nanoparticle anode for ultrafast and highly stable lithium-ion storage

High-performance lithium-ion batteries require high energy density, long cycle life, and fast (dis)chargeability. Despite several accomplishments in increasing capacity under normal operation, maintaining high capacity under fast charging and discharging remains a challenge. To achieve such performance, we have applied nitrogen-ion (N+) irradiation to an anode material comprising tin oxyhydroxide nanoparticles (Sn6O4(OH)4 NPs) active material, carbon black conducting agent, and polyvinylidene fluoride (PVDF) binder. Sn6O4(OH)4 NPs have high capacity and fair rate capability due to their layered structure with a large interlayer spacing of 0.455 nm and a small particle size of < 5 nm. N+ irradiation induces multiple defects including implanted N+ and oxygen vacancies in the anode material. The defects provide more Li-ion active sites in the Sn6O4(OH)4 NPs and lead to amorphization of carbon black as well as increasing the conductivities of Sn6O4(OH)4 NPs. Additionally, N+ irradiation brings about cross-linking of PVDF, enhancing the binding property. As a consequence, the N+-irradiated anode shows significantly improved performance: a capacity maintains 2306 mA h g−1 after 500 cycles at 0.5C and 1053 mA h g−1 after 300 cycles at 5C. Moreover, the anode exhibits outstanding rate capability even under ultrahigh-rate operation: 65.1 % capacity retention at 50C.

All employees benefit: arguments that help increase support for affirmative action in academic careers

The goal of affirmative action programs is to establish equal opportunities for women and men. Past research has focused on one type of affirmative action, namely quotas, and found that the implementation of quotas is often met by a backlash from employees. The current study adds to the literature by investigating fairness and importance perceptions of career development programs offered only to women at Austrian universities or the Austrian Science Fund. Using the model of attitudes toward affirmative action programs the current experimental study tested whether providing participants with information about the benefits (gain-message condition) or costs (loss-message condition) of the implementation of affirmative action programs influenced participants’ perceptions of affirmative action programs. In the current online study, the 510 participants (52.5% cisgender women and 47.5% cisgender men; Mage = 29.5, SD = 9.5) from German-speaking countries in Europe gave on average higher fairness and importance ratings to career development programs offered to all employees than to such programs offered specifically to women. Men in the gain-message condition and loss-message condition gave higher fairness ratings to affirmative action programs than did men in the control condition (i.e., men who read a text that gave no justification for the implementation of affirmative action programs). Men in the gain-message condition also gave higher importance ratings to affirmative action programs than did men in the control condition. Women were not influenced in their ratings by the justification of the implementation of affirmative action programs. Nevertheless, women’s perceptions of affirmative action programs were more favorable than men’s. When implementing affirmative action programs in organizations, providing information that explains why affirmative action is needed and how all employees benefit therefrom can increase support from men who, as seen from past research, are known to be most opposed to affirmative action.

SUSTAINABILITY IN PROPERTY TAXATION: AN APPLICATION FOR REVENUE STABILITY AND FAIRNESS PERSPECTIVES, THE CITY OF BUFFALO, NY

The scholarly modeling of property tax has always posed a challenge, with two primary concerns to be addressed: first, maintaining sustainability in the collection, which is primarily a concern for local governments; and second, ensuring fair distribution, which is of greater concern for citizens. In today’s practices, assessment-based property tax increases unmatched expenses in bubble economies. There is a substitution problem in rapid falls, the tendency to not decrease the assessments gives way to black holes and opens the door to ghost cities. This paper proposes alternative approaches, aside from market/land value or last sold price, aimed at improving sustainability and fairness rates. The dataset examined is based on 93.7K records and 88 attributes for assessed value of properties within the City of Buffalo, the United States of America. Since the label (Total Value) is a numerical and continuous value, regression models are selected, where ensemble machine learning methods categorically work well with larger datasets, combined with weak learners, like decision trees. Stacked Ensemble led the least error for regression with 0.98 R2, followed by Gradient Boosting. Results show a 79% dominance of uncontrollable attributes, such as Land Value, Neighborhood, and Sale (last sold) Price, compared to controllable attributes, such as Total Living Area, Construction Grade, Second Story Area, and many others. This article suggests having a more balanced split between uncontrollable and controllable attributes would contribute to both sustainability and fair distribution.

The role of sleep disturbances in the association between housing conditions and subjective cognitive impairment

AbstractBackgroundAdverse housing conditions such as crowding, air pollution, or insufficient heat are associated with cognitive impairment. However, the mechanism linking adverse housing conditions and cognitive impairment is not fully understood. Adverse housing can affect sleep – an essential physiologic activity for cognitive function, yet this pathway is understudied. We tested associations between housing condition, sleep disturbances, and cognitive impairment.MethodsThis study utilized data from the Health and Retirement Study, a longitudinal panel study among adults (2020). Participants (n = 2,639) completed questionnaires on housing, sleep disturbances, and cognition. Housing was measured by self‐reported ratings of their homes physical condition (1‐excellent to 5‐poor). Sleep disturbances were self‐reported as trouble falling asleep, trouble waking up during the night, and trouble with waking up too early and not being able fall asleep again, and each item was scored from 0 (rarely/never) to 2 (most of the time). Cognitive impairment was defined as a participant rating of fair or poor regarding their memory at the present time. Logistic regression models were fit to test associations between housing and sleep and cognitive impairment after adjustment for age, sex, and race.ResultsThe sample had a mean age of 66.2+10.6 years, and 60% were female, 21.4% Black, 64.6% White, and 11.4% other racial group. The prevalence of cognitive impairment and sleep disturbance was 28.7% and 42.8%, respectively. Individuals living in adverse housing conditions had 32% and 48% higher odds of sleep disturbances [Adjusted Odds Ratio (aOR) = 1.32, 95% confidence interval (1.21, 1.43)] and cognitive impairment [aOR = 1.48 (1.36, 1.62)], respectively. Sleep disturbances were associated with higher odds of cognitive impairment, OR = 2.04 (1.71, 2.44). After adjustment for sleep disturbances, the association between housing condition and cognitive impairment was slightly attenuated, aOR = 1.40 (1.28, 1.54).ConclusionsLiving in adverse housing conditions were associated with greater sleep disturbances and subjective cognitive impairment. Results suggest that sleep may explain a small portion of the association between housing conditions and cognitive impairment, but a formal test of mediation is needed. Housing and sleep may be points of intervention for reducing cognitive impairment.

SIRFRM - Secure and Intelligent Routing Fairness Rate Model for Flying Adhoc Networks

SIRFRM - Secure and Intelligent Routing Fairness Rate Model for Flying Adhoc Networks

Crafting People Descriptions: A Case Study of Student Public Speaking in a Non-English Department

The abilities of students’ public speaking are different at some level. This study investigates the students’ speaking skills in describing people in the Non-English Department. The type of this research was a quantitative descriptive study design. The instrument of this study was the test; the type of the test was public speaking in describing people. The population of this study was 37 students in the 2nd semester of sports and health education. The sampling technique was total sampling. The sample was 37 students. Primarily based on the result, the researcher discovered that one student (2%) has a good score, 17 students (46%) have an average rating, and 19 college students (51%) have a fair rating. It means that the score of students' speaking skills in describing humans became a truthful stage. It brought about mispronunciation of phrases (body, eyes, nose, and colour), messy grammar, lack of vocabulary, fluency gradual, and comprehension most effective a little and quite simple.

Accurate Fairness: Improving Individual Fairness without Trading Accuracy

Accuracy and individual fairness are both crucial for trustworthy machine learning, but these two aspects are often incompatible with each other so that enhancing one aspect may sacrifice the other inevitably with side effects of true bias or false fairness. We propose in this paper a new fairness criterion, accurate fairness, to align individual fairness with accuracy. Informally, it requires the treatments of an individual and the individual's similar counterparts to conform to a uniform target, i.e., the ground truth of the individual. We prove that accurate fairness also implies typical group fairness criteria over a union of similar sub-populations. We then present a Siamese fairness in-processing approach to minimize the accuracy and fairness losses of a machine learning model under the accurate fairness constraints. To the best of our knowledge, this is the first time that a Siamese approach is adapted for bias mitigation. We also propose fairness confusion matrix-based metrics, fair-precision, fair-recall, and fair-F1 score, to quantify a trade-off between accuracy and individual fairness. Comparative case studies with popular fairness datasets show that our Siamese fairness approach can achieve on average 1.02%-8.78% higher individual fairness (in terms of fairness through awareness) and 8.38%-13.69% higher accuracy, as well as 10.09%-20.57% higher true fair rate, and 5.43%-10.01% higher fair-F1 score, than the state-of-the-art bias mitigation techniques. This demonstrates that our Siamese fairness approach can indeed improve individual fairness without trading accuracy. Finally, the accurate fairness criterion and Siamese fairness approach are applied to mitigate the possible service discrimination with a real Ctrip dataset, by on average fairly serving 112.33% more customers (specifically, 81.29% more customers in an accurately fair way) than baseline models.

Symbolic effects of representative bureaucracy in policing: An experimental replication in a Korean context

AbstractThis study experimentally examines the effect of gender representation of a police organization responsible for handling domestic violence, and how this impacts Korean citizens' views toward the police. Findings show that male participants gave the highest ratings of legitimacy and fairness when the organization is equally represented by men and women, while gave low ratings of legitimacy and efficacy to the organization where women are over‐represented. This implies that achieving gender balance in job assignments helps ensure the effectiveness of representative bureaucracy. On the other hand, female participants rated organization with equal representation positively only when they also demonstrated a high level of active representation for female victims. Given heightened gender conflict within Korean policing, female citizens might try to maintain objectivity about female officers.

RaceCC: A rapidly converging explicit congestion control for datacenter networks

Congestion control (CC) in datacenter networks has three primary goals: high link utilization, low queuing delay, and rapid convergence to fairness. Most of the host-driven CC schemes perform well in achieving the first two goals, while it is difficult to converge to fairness rapidly. Switch-driven CC schemes can be a compelling alternative to achieve fairness since switches explicitly provide feedback to hosts. However, we found that existing switch-driven CC schemes converge slowly or sometimes could not guarantee low queues.Based on these observations, in this paper, we propose RaceCC, a RApidly Converging Explicit CC to achieve the three primary goals simultaneously. As a switch-driven CC scheme, RaceCC enables flows to reach a fair rate after the first RTT and guarantees high link utilization and low queue length. To converge rapidly, RaceCC adjusts flow rates through an intuitive MIMD method with additive-decrease for short queues and precise update for increase. Meanwhile, RaceCC can be implemented with several simple operations. We theoretically analyze the stability of RaceCC and evaluate its performance through micro-benchmark and large-scale simulations. The results show that RaceCC reduces the overall average and tail flow completion time (FCT) by 20% ∼ 57% and 15% ∼ 63%, compared to DCQCN, TIMELY, HPCC, PowerTCP, RCP and RoCC.

Max-Min Fairness of Rate-Splitting Multiple Access With Finite Blocklength Communications

Rate-Splitting Multiple Access (RSMA) has emerged as a flexible and powerful framework for wireless networks. In this paper, we investigate the user fairness of downlink multi-antenna RSMA in short-packet communications with/without cooperative (user-relaying) transmission. We design optimal time allocation and linear precoders that maximize the Max-Min Fairness (MMF) rate with Finite Blocklength (FBL) constraints. The relation between the MMF rate and blocklength, as well as the impact of cooperative transmission are investigated. Numerical results demonstrate that RSMA can achieve the same MMF rate as Non-Orthogonal Multiple Access (NOMA) and Space Division Multiple Access (SDMA) with smaller blocklengths (and therefore lower latency), especially in cooperative transmission deployment. Hence, we conclude that RSMA is a promising multiple access for guaranteeing user fairness in low-latency communications.