Measuring Cultural Competency in Educators: The Educators Scale of Student Diversity

The purpose of this study was to uncover a rich theoretical basis of cultural competency and awareness in education and create an instrument, Educators Scale of Student Diversity (ESSD), which reliably and validly measures cultural competency in educators. Current measures lack in both a wide theoretical basis of cultural competency as it relates to educators in diverse teaching environments and in reported psychometric quality. The ESSD derived from a wide range of theoretical constructs that encompass the experience of modern teachers in diverse environments. The original 50 items, which were written after an extensive literature review, were reviewed by a panel of experts in the fields of cultural competency and race in education, resulting in a 48-item instrument. A pilot study of 372 K-12 teachers in a medium-sized public school district in the Pacific Northwest was then conducted. A factor analysis resulted in a 22-item instrument consisting of 4 subscales: Race and Bias, Culturally Responsive Instruction, Sociopolitical Context, and Diversity in Education. Cronbach’s alpha, an assessment of reliability, was .88 for the scale, suggesting reliability. A correlational analysis was performed with the Cultural Diversity Awareness Index to establish convergent validity and showed a moderate positive relationship

Long-term outcomes of operatively treated medial epicondyle fractures in pediatric and adolescent patients

PURPOSE: Medial epicondyle fractures are among the most common pediatric elbow injuries. The management of these fractures continues to be debated. To better understand patient results with operative fixation, we reviewed the outcomes of operatively treated medial epicondyle fractures. METHODS: A retrospective review was performed to identify all patients less than 18 years of age at the time of injury who were treated surgically for medial epicondyle fractures. Outcomes were assessed based on the Patient-Reported Outcomes Measurement Information System (PROMIS) Upper Extremity and Pain Interference domains, Visual Analog Scale for pain, subjective range of motion, ulnar nerve function, and requirement for secondary surgery. RESULTS: We identified a cohort of 95 patients treated for a medial epicondyle fracture with open reduction and screw fixation. Of these, 39 patients with a mean age of 12.2 years (SD, 2.2 years; range, 7.6-16.0 years) at surgery were assessed for an average follow-up of 6.3 years (SD, 3.2 years; range, 2.2-13.9 years). Outcome measures and pain scores were excellent. The mean PROMIS Upper Extremity score was 56.9, the mean Pain Interference score was 38.5, and the mean Visual Analog Scale score was 0.4.Sixteen patients (41%) required secondary surgery for symptomatic hardware removal. Seven patients (18%) developed sensory complaints and 2 (5%) developed motor complaints consistent with ulnar nerve irritability. Three patients (8%) reported dissatisfaction with elbow range of motion. Patients who required secondary surgeries had higher (worse) PROMIS Pain Interference scores. CONCLUSIONS: At an average of 6.3 years after surgery, the clinical outcomes for medial epicondyle fracture were excellent. While operative treatment for medial epicondyle fractures in children leads to excellent clinical outcomes, patients and surgeons should be aware of high rates of hardware removal. TYPE OF STUDY/LEVEL OF EVIDENCE: Therapeutic IV

Hybrid Energy Management System Consisting of Battery and Supercapacitor for Electric Vehicle

This paper is mainly focused on Hybrid Energy Management System (HEMS) consisting of Battery (BT) and Super capacitor (SC). Two energy sources connected in with same DC link in parallel manner with the help of Bidirectional DC-DC converter, which is used to separate control of power flow of each source. Here Permanent magnet dc motor (PMDC) motor used as a load and speed control of PMDC motor can be done by PWM method for this purpose chopper circuit is used. Input of chopper circuit is DC link and output of the chopper is given to PMDC motor. This method of energy management gives power splitting between two sources based on State of Charge (SOC) of each individual source during different state of vehicle such as acceleration, constant running and deceleration. Improved filter-based power splitting techniques is implemented. Three acceleration reference points were taken for power splinting at different SOC levels of both energy sources. Objective of this proposed method is best use of both the sources i.e. battery and supercapacitor and maximum use of supercapacitor energy at the time of transient conditions. Battery supply energy during normal running condition or very less load condition. Hence during transient condition SC directly react with system and gives peak power requirement, so stress on battery is reduces hence lifetime of battery is increase, also power available during braking is store in SC and battery, so independence of Electric Vehicle (EV) is increases. Because of less peak power requirement, batteries with less peak output power is used so it is reduced size and cost of batteries. Matlab- Simulink software is used for simulation and also small scale hardware is also implemented of proposed method

Hybrid Energy Management System Consisting of Battery and Supercapacitor for Electric Vehicle

This paper is mainly focused on Hybrid Energy Management System (HEMS) consisting of Battery (BT) and Super capacitor (SC). Two energy sources connected in with same DC link in parallel manner with the help of Bidirectional DC-DC converter, which is used to separate control of power flow of each source. Here Permanent magnet dc motor (PMDC) motor used as a load and speed control of PMDC motor can be done by PWM method for this purpose chopper circuit is used. Input of chopper circuit is DC link and output of the chopper is given to PMDC motor. This method of energy management gives power splitting between two sources based on State of Charge (SOC) of each individual source during different state of vehicle such as acceleration, constant running and deceleration. Improved filter-based power splitting techniques is implemented. Three acceleration reference points were taken for power splinting at different SOC levels of both energy sources. Objective of this proposed method is best use of both the sources i.e. battery and supercapacitor and maximum use of supercapacitor energy at the time of transient conditions. Battery supply energy during normal running condition or very less load condition. Hence during transient condition SC directly react with system and gives peak power requirement, so stress on battery is reduces hence lifetime of battery is increase, also power available during braking is store in SC and battery, so independence of Electric Vehicle (EV) is increases. Because of less peak power requirement, batteries with less peak output power is used so it is reduced size and cost of batteries. Matlab- Simulink software is used for simulation and also small scale hardware is also implemented of proposed method

Micro-Symposium on Orin Kerr\u27s \u27A Theory of Law\u27

For more than a century, careful readers of the Green Bag have known that “[t]here is nothing sacred in a theory of law...which has outlived its usefulness or which was radically wrong from the beginning...The question is What is the law and what is the true public policy?” Professor Orin Kerr bravely, creatively, and eloquently answered that question in his article, “A Theory of Law,” in the Autumn 2012 issue of the Green Bag. Uniquely among all theories of law that I know of, Kerr’s answer to the fundamental question of law and true public policy enables all scholars to answer that same question in their own ways. The Green Bag is pleased to be featuring his “A Theory of Law” in its first micro-symposium, and just as pleased with the quality, quantity, and diversity of the responses to the call for papers. Blessed with an abundance of good work but cursed by a shortage of space, we were compelled to select a small set – representative and excellent – of those essays to publish in the Green Bag or its sibling publication, the Journal of Law. We regret that we cannot do full justice to the outpouring of first-rate legal-theoretical commentary we received

Support for UNRWA's survival

The United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) provides life-saving humanitarian aid for 5·4 million Palestine refugees now entering their eighth decade of statelessness and conflict. About a third of Palestine refugees still live in 58 recognised camps. UNRWA operates 702 schools and 144 health centres, some of which are affected by the ongoing humanitarian disasters in Syria and the Gaza Strip. It has dramatically reduced the prevalence of infectious diseases, mortality, and illiteracy. Its social services include rebuilding infrastructure and homes that have been destroyed by conflict and providing cash assistance and micro-finance loans for Palestinians whose rights are curtailed and who are denied the right of return to their homeland

Performance of ACMG-AMP Variant-Interpretation Guidelines among Nine Laboratories in the Clinical Sequencing Exploratory Research Consortium

Evaluating the pathogenicity of a variant is challenging given the plethora of types of genetic evidence that laboratories consider. Deciding how to weigh each type of evidence is difficult, and standards have been needed. In 2015, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) published guidelines for the assessment of variants in genes associated with Mendelian diseases. Nine molecular diagnostic laboratories involved in the Clinical Sequencing Exploratory Research (CSER) consortium piloted these guidelines on 99 variants spanning all categories (pathogenic, likely pathogenic, uncertain significance, likely benign, and benign). Nine variants were distributed to all laboratories, and the remaining 90 were evaluated by three laboratories. The laboratories classified each variant by using both the laboratory's own method and the ACMG-AMP criteria. The agreement between the two methods used within laboratories was high (K-alpha = 0.91) with 79% concordance. However, there was only 34% concordance for either classification system across laboratories. After consensus discussions and detailed review of the ACMG-AMP criteria, concordance increased to 71%. Causes of initial discordance in ACMG-AMP classifications were identified, and recommendations on clarification and increased specification of the ACMG-AMP criteria were made. In summary, although an initial pilot of the ACMG-AMP guidelines did not lead to increased concordance in variant interpretation, comparing variant interpretations to identify differences and having a common framework to facilitate resolution of those differences were beneficial for improving agreement, allowing iterative movement toward increased reporting consistency for variants in genes associated with monogenic disease

An improved predictive recognition model for Cys2-His2 zinc finger proteins

Cys2-His2 zinc finger proteins (ZFPs) are the largest family of transcription factors in higher metazoans. They also represent the most diverse family with regards to the composition of their recognition sequences. Although there are a number of ZFPs with characterized DNA-binding preferences, the specificity of the vast majority of ZFPs is unknown and cannot be directly inferred by homology due to the diversity of recognition residues present within individual fingers. Given the large number of unique zinc fingers and assemblies present across eukaryotes, a comprehensive predictive recognition model that could accurately estimate the DNA-binding specificity of any ZFP based on its amino acid sequence would have great utility. Toward this goal, we have used the DNA-binding specificities of 678 two-finger modules from both natural and artificial sources to construct a random forest-based predictive model for ZFP recognition. We find that our recognition model outperforms previously described determinant-based recognition models for ZFPs, and can successfully estimate the specificity of naturally occurring ZFPs with previously defined specificities