Fostering Verbal and Play Interactions in Heritage Language: A Naturalistic Intervention Mediated by Siblings for Autistic Children

Research on sibling-mediated interventions (SMIs) suggests that neurotypical siblings may help bolster language and play development in autistic children (Akers et al., 2018; Celiberti & Harris, 1993; Coe et al., 1991; Glugatch & Machalicek, 2021; Oppenheim-Leaf et al., 2012; Spector & Charlop, 2018), though consideration of culturally and linguistically diverse (CALD) populations is lacking. CALD autistic children often have a heritage language, or home language, other than English that is spoken at home with family members. Evidence suggests that bilingual exposure may be advantageous for language and play of autistic children (Dalmau et al., 2011; Lim & Charlop Seung et al., 2006; Vaughn, 2013). However, studies have not yet explored the role of neurotypical siblings in delivery of heritage language during intervention. The present study examined the effects of a naturalistic intervention mediated by siblings (NIMS) across four sibling dyads. Neurotypical siblings first received training through direct instruction, modeling, and role-play with a bilingual therapist. During intervention, visual prompts were used to encourage neurotypical siblings to deliver instructions, appropriate play phrases, and questions in heritage language during play with the autistic children. Results indicated that appropriate verbalizations of autistic children, social initiations of neurotypical siblings, and interactive play of the sibling dyad increased due to the intervention. Ancillary measures revealed that all dyads reported happiness during the intervention and two dyads improved the quality of the sibling relationship. The implications of the study suggest researchers and practitioners alike should continue to explore neurotypical siblings as change agents for autistic children, particularly when delivering intervention in heritage language

Uniform Circular Arrays: the Key to Optimum Channel Capacity in Mobile MIMO Satellite Links

Abstract—In this paper, we investigate the benefits of uniform circular arrays (UCAs) as an alternative antenna deployment to uniform linear arrays (ULA), which are commonly applied for multiple-input multiple-output (MIMO) systems. We consider a MIMO satellite link with focus on the Line-of-Sight (LOS) signal component of the MIMO channel between two geostationary satellites and a mobile earth terminal equipped with several antennae. The MIMO LOS channel is optimized with respect to the maximum achievable spectral efficiency. The aim of our approach is to keep this optimum spectral efficiency nearly constantly even if the terminal on earth is moving. We provide an analytical derivation for the optimum UCA arrangement and prove our results by numerical simulations. Especially for mobile applications, the UCA antenna arrangement seems to be a reasonable candidate in order to guarantee high capacity performance durably. To this end, we present a very simple triangle shaped antenna arrangement which is compact enough to allow vehicle roof top installations for S-band applications. I

The Bracero Program and the Exploitability of Migrant Workers

This thesis explores the exploitability of migrants working in the United States. Historically, the United States government has emphasized the economic utility of migrant workers, while ignoring their basic human rights. Policymakers have viewed these people as a disposable work force and seek to control them by generating widespread fear of deportation, racialized segregation, discriminatory treatment, and with the help of governing and policing entities willing to turn a blind eye to these injustices, as long as they continue to profit financially. This thesis will look at the Bracero Program with a historic lens to exemplify the system of exploitation created by the United States. Understanding the history of immigration policies and situating the Bracero Program within American history is helpful in understanding the lived experiences of Mexican migrants contracted to work in the country, and better understand why people chose to work illegally instead. Understanding the ramifications of this contract labor system and the immigration patterns it inspired, is important when examining the treatment of immigrants entering the United States today. The exploitability of Bracero workers was perpetrated by purposeful methods of control. The entire program intended to incentivize an ultimate return to Mexico and operated by instilling fear and uncertainty amongst these people. Braceros were forced to endure atrocious living and working conditions with no ability to resolve their situation, for fear of deportability and the inability to create a better life. The United States has historically established immigration policies that place greater emphasis on the economic needs of the country as opposed to the livelihood and well-being of migrants. The evident abuse and manipulation of migrant worker’s contractually employed under the Bracero Program, was purposefully not addressed and there was no accountability to ensure their human rights were being upheld

DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients

In the U.S. inpatient payment system, the Diagnosis-Related Group (DRG) is pivotal, but its assignment process is inefficient. The study introduces DRG-LLaMA, an advanced large language model (LLM) fine-tuned on clinical notes to enhance DRGs assignment. Utilizing LLaMA as the foundational model and optimizing it through Low-Rank Adaptation (LoRA) on 236,192 MIMIC-IV discharge summaries, our DRG-LLaMA-7B model exhibited a noteworthy macro-averaged F1 score of 0.327, a top-1 prediction accuracy of 52.0%, and a macro-averaged Area Under the Curve (AUC) of 0.986, with a maximum input token length of 512. This model surpassed the performance of prior leading models in DRG prediction, showing a relative improvement of 40.3% and 35.7% in macro-averaged F1 score compared to ClinicalBERT and CAML, respectively. Applied to base DRG and complication or comorbidity (CC)/major complication or comorbidity (MCC) prediction, DRG-LLaMA achieved a top-1 prediction accuracy of 67.8% and 67.5%, respectively. Additionally, our findings indicate that DRG-LLaMA's performance correlates with increased model parameters and input context lengths

Delay Discounting is Associated with Treatment Response among Cocaine-Dependent Outpatients

Rationale—Delay discounting (DD) describes the rate at which reinforcers lose value as the temporal delay to their receipt increases. Steeper discounting has been positively associated with vulnerability to substance use disorders, including cocaine use disorders. Objectives—In the present study, we examined whether DD of hypothetical monetary reinforcers is associated with the duration of cocaine abstinence achieved among cocainedependent outpatients. Methods—Participants were 36 adults who were participating in a randomized controlled trial examining the efficacy of voucher-based contingency management (CM) using low-magnitude (N = 18) or high-magnitude (N = 18) voucher monetary values. Results—DD was associated with the number of continuous weeks of cocaine abstinence achieved, even after adjusting for treatment condition during the initial 12-week (t(33) = 2.48, p = .045) and entire recommended 24-week of treatment (t(33) = 2.40, p = .022). Participants who exhibited steeper discounting functions achieved shorter periods of abstinence in the Lowmagnitude voucher condition (12-week: t(16) = 2.48, p = .025; 24-week: t(16) = 2.68, p = .017), but not in the High-magnitude voucher condition (12-week: t(16) = 0.51, p = .618; 24-week: t(16) = 1.08, p = .298), although the interaction between DD and treatment condition was not significant (12-week: t(32) = −1.12, p = .271; 24-week: t(32) = −0.37, p = .712). Conclusions—These results provide further evidence on associations between DD and treatment response and extend those observations to a new clinical population (i.e., cocainedependent outpatients), while also suggesting that a more intensive intervention like the Highmagnitude CM condition may diminish this negative relationship between DD and treatment response

Biomarker phenotyping drives clinical management in axillary sentinel node: A retrospective study on women with primary breast cancer in 2002

The current study examined if cancer biomarker phenotyping could predict the clinical/pathological status of axillary nodes in women with primary breast cancer. Primary breast cancers from 2002 were analyzed for tumor size, estrogen receptor (ER), progesterone receptor (PgR), Ki.67MIB expression and Her2/neu amplification. Relationships between the clinical and pathological status of the axilla and the biological subtypes classification were analyzed using univariate, multivariate and regression tree analysis. A total of 65% of women with axillary nodes clinically involved had complete axillary node dissection (ALND) while 705 women with clinically negative axillary underwent sentinel lymph node biopsy (SLNB), 18.5% of the latter had at least one pathologically SLNB involved node. Multivariate analysis revealed that the Luminal A subtype was significantly associated (OR 0.62; P<10-9) with clinical negative axilla while HER2pos/not Luminal was associated with clinical positivity (OR 1.71; P<0.01). No significant association between biological subtypes and SLNB status was demonstrated. Regression tree analysis revealed that subgroups with significantly different probability of SLNB status were separated according to tumor size and PgR values. In conclusion, the current study demonstrated that biomarker breast cancer phenotyping is significantly associated with clinical status of axillary nodes but not with pathological involvement of nodes at SLNB. Regression tree analysis could represent a valid attempt to individualize some patients subgroups candidate to different surgical axilla approaches

ISA-TAB-Nano: A Specification for Sharing Nanomaterial Research Data in Spreadsheet-based Format

BACKGROUND AND MOTIVATION: The high-throughput genomics communities have been successfully using standardized spreadsheet-based formats to capture and share data within labs and among public repositories. The nanomedicine community has yet to adopt similar standards to share the diverse and multi-dimensional types of data (including metadata) pertaining to the description and characterization of nanomaterials. Owing to the lack of standardization in representing and sharing nanomaterial data, most of the data currently shared via publications and data resources are incomplete, poorly-integrated, and not suitable for meaningful interpretation and re-use of the data. Specifically, in its current state, data cannot be effectively utilized for the development of predictive models that will inform the rational design of nanomaterials. RESULTS: We have developed a specification called ISA-TAB-Nano, which comprises four spreadsheet-based file formats for representing and integrating various types of nanomaterial data. Three file formats (Investigation, Study, and Assay files) have been adapted from the established ISA-TAB specification; while the Material file format was developed de novo to more readily describe the complexity of nanomaterials and associated small molecules. In this paper, we have discussed the main features of each file format and how to use them for sharing nanomaterial descriptions and assay metadata. CONCLUSION: The ISA-TAB-Nano file formats provide a general and flexible framework to record and integrate nanomaterial descriptions, assay data (metadata and endpoint measurements) and protocol information. Like ISA-TAB, ISA-TAB-Nano supports the use of ontology terms to promote standardized descriptions and to facilitate search and integration of the data. The ISA-TAB-Nano specification has been submitted as an ASTM work item to obtain community feedback and to provide a nanotechnology data-sharing standard for public development and adoption