Business, Human Rights, and Corporate Social Responsibility

This presentation is a review of the literature on business and human rights and Corporate Social Responsibility. Globalization has lead to human rights and business being a combined topic. The United Nations and other countries have began to recognize human rights with labor regulations due to the misconduct in applied legislation. Our research focuses on the country of Myanmar also known as Burma. The United States in particular has had a long history working with Myanmar. During the 2000\u27s American companies have been developing strict labor policies. Through research, companies discovered that implementing business policies and labor regulations programs increase the community\u27s development. A case study shows how Coca-Cola worked in Myanmar to form a strategic plan assisting Myanmar\u27s community. Through corporate responsibility and labor solidarity, companies can work in high-risk environments and achieve positive outcomes

Probing Relativity using Space-Based Experiments

An overview of space tests searching for small deviations from special relativity arising at the Planck scale is given. Potential high-sensitivity space-based experiments include ones with atomic clocks, masers, and electromagnetic cavities. We show that a significant portion of the coefficient space in the Standard-Model Extension, a framework that covers the full spectrum of possible effects, can be accessed using space tests. Some remarks on Lorentz violation in the gravitational sector are also given.Comment: 12 pages, invited talk at International Workshop, From Quantum to Cosmos, Warrenton, VA, USA, May 22-24, 200

Reexamining “Defining Patient Experience”: The human experience in healthcare

In 2014, the authors came together with the explicit purpose of understanding how people were defining patient experience.1 Our broad review and analysis of the literature led us to a few critical points. One, as our review showed, there was an absence of a commonly used definition around patient experience in healthcare. Two, while consistency in the use of one definition was not revealed, there was great alignment around central components seen as critical to patient experience. Three, we highlighted the recurrence of key concepts from the literature that are also found in the definition offered by The Beryl Institute that include: ‘sum of all interactions,’ ‘the influence of organizational culture,’ ‘patient perceptions,’ and the importance of considering experiences ‘across the continuum of care.’ While this initial inquiry took place seven years ago, we would suggest that these core definitional concepts are no less relevant today and, in fact, may have grown in significance, as those in healthcare have come to better understand the scope and scale of experience. Hence, the purpose of this paper is to assess how the definition has evolved to encompass novel and timely viewpoints that complement the original definition and understand how - and in what ways - the definition has advanced. The definition of patient experience was a significant milestone. It provided simple language for the truly complex nature of what patient experience is and has ultimately served as a foundation for framing the human experience in healthcare. The human experience in healthcare integrates the sum of all interactions, every encounter among patients, families and care partners and the healthcare workforce. It is driven by the culture of healthcare organizations and systems that work tirelessly to support a healthcare ecosystem that operates within the breadth of the care continuum into the communities they serve and the ever-changing environmental landscapes in which they are situated. The human experience in healthcare ultimately is the fruit born from the core of patient experience itself. Experience Framework This article is associated with the Culture & Leadership lens of The Beryl Institute Experience Framework (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this len

Lorentz-Violating Electrostatics and Magnetostatics

The static limit of Lorentz-violating electrodynamics in vacuum and in media is investigated. Features of the general solutions include the need for unconventional boundary conditions and the mixing of electrostatic and magnetostatic effects. Explicit solutions are provided for some simple cases. Electromagnetostatics experiments show promise for improving existing sensitivities to parity-odd coefficients for Lorentz violation in the photon sector.Comment: 9 page

Does information structuring improve recall of discharge information? A cluster randomized clinical trial

The impact of the quality of discharge communication between physicians and their patients is critical on patients' health outcomes. Nevertheless, low recall of information given to patients at discharge from emergency departments (EDs) is a well-documented problem. Therefore, we investigated the outcomes and related benefits of two different communication strategies: Physicians were instructed to either use empathy (E) or information structuring (S) skills hypothesizing superior recall by patients in the S group.; For the direct comparison of two communication strategies at discharge, physicians were cluster-randomized to an E or a S skills training. Feasibility was measured by training completion rates. Outcomes were measured in patients immediately after discharge, after 7, and 30 days. Primary outcome was patients' immediate recall of discharge information. Secondary outcomes were feasibility of training implementation, patients' adherence to recommendations and satisfaction, as well as the patient-physician relationship.; Of 117 eligible physicians, 80 (68.4%) completed the training. Out of 256 patients randomized to one of the two training groups (E: 146 and S: 119) 196 completed the post-discharge assessment. Patients' immediate recall of discharge information was superior in patients in the S-group vs. E-group. Patients in the S-group adhered to more recommendations within 30 days (p = .002), and were more likely to recommend the physician to family and friends (p = .021). No differences were found on other assessed outcome domains.; Immediate recall and subsequent adherence to recommendations were higher in the S group. Feasibility was shown by a 69.6% completion rate of trainings. Thus, trainings of discharge information structuring are feasible and improve patients' recall, and may therefore improve quality of care in the ED

Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation

Sensing enabled implantable devices and next-generation neurotechnology allow real-time adjustments of invasive neuromodulation. The identification of symptom and disease-specific biomarkers in invasive brain signal recordings has inspired the idea of demand dependent adaptive deep brain stimulation (aDBS). Expanding the clinical utility of aDBS with machine learning may hold the potential for the next breakthrough in the therapeutic success of clinical brain computer interfaces. To this end, sophisticated machine learning algorithms optimized for decoding of brain states from neural time-series must be developed. To support this venture, this review summarizes the current state of machine learning studies for invasive neurophysiology. After a brief introduction to the machine learning terminology, the transformation of brain recordings into meaningful features for decoding of symptoms and behavior is described. Commonly used machine learning models are explained and analyzed from the perspective of utility for aDBS. This is followed by a critical review on good practices for training and testing to ensure conceptual and practical generalizability for real-time adaptation in clinical settings. Finally, first studies combining machine learning with aDBS are highlighted. This review takes a glimpse into the promising future of intelligent adaptive DBS (iDBS) and concludes by identifying four key ingredients on the road for successful clinical adoption: i) multidisciplinary research teams, ii) publicly available datasets, iii) open-source algorithmic solutions and iv) strong world-wide research collaborations.Fil: Merk, Timon. Charité – Universitätsmedizin Berlin; AlemaniaFil: Peterson, Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina. Harvard Medical School; Estados UnidosFil: Köhler, Richard. Charité – Universitätsmedizin Berlin; AlemaniaFil: Haufe, Stefan. Charité – Universitätsmedizin Berlin; AlemaniaFil: Richardson, R. Mark. Harvard Medical School; Estados UnidosFil: Neumann, Wolf Julian. Charité – Universitätsmedizin Berlin; Alemani

Culture media based on effluent derived from soy protein concentrate production for Lacticaseibacillus paracasei 90 biomass production: statistical optimisation, mineral characterization, and metabolic activities

The waste and by-products of the soybean industry could be an economic source of nutrients to satisfy the high nutritional demands for the cultivation of lactic acid bacteria. The aims of this work were to maximize the biomass production of Lacticaseibacillus paracasei 90 (L90) in three culture media formulated from an effluent derived from soy protein concentrate production and to assess the effects these media have on the enzymatic activity of L90, together with their influence on its fermentation profile in milk. The presence of essential minerals and fermentable carbohydrates (sucrose, raffinose, and stachyose) in the effluent was verified. L90 reached high levels of microbiological counts (∼ 9 log cfu mL−1) and dry weight (> 1 g L−1) on the three optimized media. Enzymatic activities (lactate dehydrogenase and β-galactosidase) of L90, and its metabolism of lactose and citric acid, as well as lactic acid and pyruvic acid production in milk, were modified depending on the growth media. The ability of the L90 to produce the key flavour compounds (diacetyl and acetoin) was maintained or improved by growing in the optimized media in comparison with MRS.Fil: Beret, María Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Lactología Industrial. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Lactología Industrial; ArgentinaFil: Peralta, Guillermo Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Lactología Industrial. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Lactología Industrial; ArgentinaFil: Vera Candioti, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wolf, Irma Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Lactología Industrial. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Lactología Industrial; ArgentinaFil: Sánchez, Renzo. Municipalidad de Gualeguaychu (entre Rios).; ArgentinaFil: Hynes, Erica Rut. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Lactología Industrial. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Lactología Industrial; ArgentinaFil: Bergamini, Carina Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Lactología Industrial. Universidad Nacional del Litoral. Facultad de Ingeniería Química. Instituto de Lactología Industrial; Argentin