Differences in ride-hailing adoption by older californians among types of locations

Ride-hailing services such as Lyft and Uber can complement rides offered by family, friends, paid providers, and public transit. To learn why older adults might wish to use ride-hail, we conducted an online survey of 2,917 California respondents age 55 and older. Participants were asked whether they would value four features hypothesized to be benefits of ride-hailing. We specified binary logit models and used market segmentation to investigate whether there were location-based differences in the use of ride-hailing. Our analysis showed that women, city dwellers, persons with disabilities, and those who rely on others for rides were more open to ride-hailing. Women in suburbs or small town/ rural settings were more likely to ride-hail than their male counterparts for reasons of independence, fear of being lost while driving, or getting help with carrying bags. Urban women, in contrast, were less likely than their male counterparts to ride-hail for these reasons. High-income individuals in suburbs or small town/rural locations were more likely to ride-hail than low-income respondents, while high-income urban residents were less likely to ride-hail. Adoption of ride-hailing services and the reasons for doing so showed strong variability by location even among respondents with similar socio-demographic attributes

Will Ride-Hailing Enhance Mobility for Older Adults? A California Survey

Ride-hailing services such as Lyft and Uber offer a potential mobility option for the growing numbers of aging Californians who risk social and economic isolation if they cannot drive for health or financial reasons. They could also serve older adults who currently have mobility options but would prefer a ride-hailing alternative for at least some trips. This study addressed whether and how older Californians use ride-hailing, as well as the potential of this travel mode to meet the needs of older adults now and in the coming decade. An online survey was completed by 2,917 California adults aged 55 and older. This age range was chosen to include both current seniors (age 65 and older) and individuals who will soon be entering that age group (age 55 to 64). The survey explored whether older Californians who have access to the internet used ride-hailing, how comfortable they were with ride-hailing service features that might present barriers to usage, whether they would value potential new ride-hailing service features designed to improve safety, accessibility, and payment options, and what reasons (if any) they saw to use ride-hailing. We also collected data on various factors hypothesized to influence ride-hailing use and behaviors, such as use of the internet and online banking. Key survey findings indicated that 44% of respondents 65 years old and older had experienced ride-hailing and 27% had booked a ride themselves via phone or using the app. Also, the potential new ride-hailing service features that appealed to large numbers of today’s and tomorrow’s seniors include having a driver trained to help older passengers and the option to pay with a ride-hailing card that is not linked to a bank account or credit card. Results also indicated that there were fewer large variations by personal characteristics than we anticipated would influence ride- hailing behavior and attitudes, such as gender, age, and regular use of technology. However, there were some clear differences by population subgroups, most noticeably by income, education, community type (e.g., urban vs. rural), and use of public transit

Revealing Y-STR Diversity of Koli Populations (Gujarat) by Studying 23 Y-STR Loci

Genetic analysis of Y-STR loci is pivotal for forensic libraries and genetic analysis. The Koli population in Gujarat, India, however, lacks such genetic characterization. This study aims to develop an allele frequency database for 23 Y-STR loci in the Koli population, examining forensic parameters and assessing genetic connections with neighboring tribes. A total of 153 unrelated Koli males were genotyped using the PowerPlex®Y23 multiplex commercial kit. We identified 117 distinct haplotypes. The Haplotype Diversity (HD) and Discrimination Capacity (DC) for the 23 Y-STR loci were 0.993 and 0.8034, respectively. DYS385b locus exhibited the highest allele variability (10 alleles), whereas DYS391, DYS389I, and DYS437 showed the least (4 alleles each). The highest Polymorphic Information Content (PIC) was observed in DYS385b (0.775), with the lowest in DYS391 (0.386). The dominant haplogroup R1a accounted for 45% of the population. Comparative analysis with other Indian populations from YHRD revealed two distinct clusters, placing the Koli population in cluster 2, indicating significant genetic similarity within this group. This inaugural study of Y-STRs in the Koli population demonstrates the utility of the Y23 kit in male identification, highlighted by substantial haplotype diversity and discrimination capacity

The Adversarial Implications of Variable-Time Inference

Machine learning (ML) models are known to be vulnerable to a number of attacks that target the integrity of their predictions or the privacy of their training data. To carry out these attacks, a black-box adversary must typically possess the ability to query the model and observe its outputs (e.g., labels). In this work, we demonstrate, for the first time, the ability to enhance such decision-based attacks. To accomplish this, we present an approach that exploits a novel side channel in which the adversary simply measures the execution time of the algorithm used to post-process the predictions of the ML model under attack. The leakage of inference-state elements into algorithmic timing side channels has never been studied before, and we have found that it can contain rich information that facilitates superior timing attacks that significantly outperform attacks based solely on label outputs. In a case study, we investigate leakage from the non-maximum suppression (NMS) algorithm, which plays a crucial role in the operation of object detectors. In our examination of the timing side-channel vulnerabilities associated with this algorithm, we identified the potential to enhance decision-based attacks. We demonstrate attacks against the YOLOv3 detector, leveraging the timing leakage to successfully evade object detection using adversarial examples, and perform dataset inference. Our experiments show that our adversarial examples exhibit superior perturbation quality compared to a decision-based attack. In addition, we present a new threat model in which dataset inference based solely on timing leakage is performed. To address the timing leakage vulnerability inherent in the NMS algorithm, we explore the potential and limitations of implementing constant-time inference passes as a mitigation strategy

Early prognosis prediction in acute myeloid and acute lymphoid leukemia patients using cell-free DNA concentration ratios

Background: Cell-free DNA (cfDNA) is a promising biomarker for disease prediction in many cancers, including acute leukemia (acute myeloid leukemia [AML] and acute lymphoblastic leukemia [ALL]). This study investigated the role of cfDNA in predicting relapse or unfavorable outcomes in acute leukemia patients upon initial diagnosis.Methods: Paired peripheral blood samples of 25 patients with ALL and AML were compared at baseline and induction/follow-up and clinically correlated with clinicopathological and outcome variables according to the risk category. cfDNA was isolated using commercial cfDNA extraction kits. The probability of poor outcomes in high-risk groups and a cut-off value for risk stratification minimal residual disease (MRD) positivity and outcome prediction were derived.Results: Twenty-five patients diagnosed with AML and ALL were risk-stratified based on NCI risk stratification, and of these 25 patients, 4 patients were of standard risk (SR) and 1 patient was of intermediate risk (IR), while a majority of patients (80%) were of high risk (HR). Of these, four HR patients passed away. The ratio of cfDNA reduction at baseline and the end of induction was a strong predictor of poor outcomes in high-risk patients, regardless of the MRD status. A cfDNA ratio score of 2.6 or higher at diagnosis/remission predicted poor outcomes, with higher accuracy than conventional MRD detection by flow cytometry.Conclusion: A higher cfDNA ratio at diagnosis/remission or at baseline predicts poor outcomes in acute leukemia patients. This pilot study suggests that cfDNA ratio scoring may be a useful tool for predicting prognosis in acute leukemia patients, regardless of the MRD status

Recent advances and future directions in etiopathogenesis and mechanisms of reactive oxygen species in cancer treatment

A class of exceptionally bioactive molecules known as reactive oxygen species (ROS) have been widely studied in the context of cancer. They play a significant role in the etiopathogenesis for cancer. Implication of ROS in cancer biology is an evolving area, considering the recent advances; insights into their generation, role of genomic and epigenetic regulators for ROS, earlier thought to be a chemical process, with interrelations with cell death pathways- Apoptosis, ferroptosis, necroptosis and autophagy has been explored for newer targets that shift the balance of ROS towards cancer cell death. ROS are signal transducers that induce angiogenesis, invasion, cell migration, and proliferation at low to moderate concentrations and are considered normal by-products of a range of biological activities. Although ROS is known to exist in the oncology domain since time immemorial, its excessive quantities are known to damage organelles, membranes, lipids, proteins, and nucleic acids, resulting in cell death. In the last two decades, numerous studies have demonstrated immunotherapies and other anticancer treatments that modulate ROS levels have promising in vitro and in vivo effects. This review also explores recent targets for therapeutic interventions in cancer that are based on ROS generation or inhibition to disrupt the cell oxidative stress balance. Examples include-metabolic targets, targeted therapy with biomarkers, natural extracts and nutraceuticals and targets developed in the area of nano medicine. In this review, we present the molecular pathways which can be used to create therapy plans that target cancer by regulating ROS levels, particularly current developments and potential prospects for the effective implementation of ROS-mediated therapies in clinical settings. The recent advances in complex interaction with apoptosis especially ferroptosis and its role in epigenomics and modifications are a new paradigm, to just mechanical action of ROS, as highlighted in this review. Their inhibition by nutraceuticals and natural extracts has been a scientific challenging avenue that is explored. Also, the inhibition of generation of ROS by inhibitors, immune modulators and inhibitors of apoptosis and ferroptosis is explored in this review

De novo variants of NR4A2 are associated with neurodevelopmental disorder and epilepsy

Purpose This study characterizes the clinical and genetic features of nine unrelated patients with de novo variants in the NR4A2 gene. Methods Variants were identified and de novo origins were confirmed through trio exome sequencing in all but one patient. Targeted RNA sequencing was performed for one variant to confirm its splicing effect. Independent discoveries were shared through GeneMatcher. Results Missense and loss-of-function variants in NR4A2 were identified in patients from eight unrelated families. One patient carried a larger deletion including adjacent genes. The cases presented with developmental delay, hypotonia (six cases), and epilepsy (six cases). De novo status was confirmed for eight patients. One variant was demonstrated to affect splicing and result in expression of abnormal transcripts likely subject to nonsense-mediated decay. Conclusion Our study underscores the importance of NR4A2 as a disease gene for neurodevelopmental disorders and epilepsy. The identified variants are likely causative of the seizures and additional developmental phenotypes in these patients