show episodes
 
The Speech Uncensored Podcast is your one-stop shop to dig into the world of medical Speech and Language Pathology. We unpack therapy techniques, critique assessment protocols, and discuss resources to enhance your practice. You’ll hear from passionate SLPs in the field, eager to share their knowledge and experience. We also sit down with neurologists, radiologists, ENTs, rehab physicians, patients, and caregivers. Check out www.speechuncensored.com for the show notes and discussion guides.
 
Welcome to SpeechGoods, a no fluff real talk speech therapy podcast. Here we talk with real SLPs about real SLP life. Here the fluff is saved for the marshmallows and we aim for full transparency. We talk: Private practice CF experiences Student loans Money management ...and more! Danni showcases real professionals out in the field does amazing things and how they got there. Success isn't easy. Life isn't easy. Being and SLP isn't easy. But through your own determination and the wisdom and e ...
 
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Speak Up

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Speak Up

Speak Up: A Speech Pathology Australia Podcast

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The Speak Up podcast by Speech Pathology Australia highlights conversations with esteemed contributors in the speech pathology space. We explore key issues in the profession, in a short and easy to listen to format.
 
Join Speech-Language Pathologist: Michelle Dawson, MS, CCC-SLP, CLC for First Bite - Fed, Fun and Functional Resources for the Pediatric SLP. Each episode is available for .1 ASHA CEUs through SpeechTherapyPD.com. If you're a SLP who has more questions than answers when it comes to treating your medically complex/fragile pediatric patients, this podcast is for you! Michelle offers her own unique insights and interviews colleagues that are experts in their respective fields with the goal of i ...
 
Science, pop culture and comedy collide on StarTalk Radio! Astrophysicist and Hayden Planetarium director Neil deGrasse Tyson, his comic co-hosts, guest celebrities and scientists discuss astronomy, physics, and everything else about life in the universe. Keep Looking Up! New episodes premiere Monday nights at 7pm ET.
 
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The ResearchWorks Podcast

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The ResearchWorks Podcast

Dr Dayna Pool and Dr Ashleigh Thornton

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ResearchWorks is designed for health professionals in the area of child health, where we discuss emerging, modern, evidence based research - the behind the scenes stories, interviews with world renowned authors and researchers, material that never made the papers and a breakdown on how you can implement this into your clinical practice.
 
Listen in as Dr. Karen helps pediatric therapists become better leaders, so they can make a bigger impact with their services. With over 15 years of experience supporting school-age kids with diverse learning needs, Dr. Karen shares up-to-date evidence-based practices, her own experiences, and guest interviews designed to help clinicians and educators feel more confident in the way they serve their caseloads, so they can help school-age kids grow up to be successful, kind, well-adjusted peop ...
 
Dental Digest is a dental podcast with a mission of enabling you to stay on the cutting edge of evidence based dentistry. Dentistry is constantly evolving, but we're here so you can stay up-to-date. We talk about topics such as operative dentistry, biomimetic dentistry, dental materials, prosthodontics, periodontics, oral surgery, endodontics, orthodontics and more.
 
Join Rehab Professionals, OT, OTA, PT, PTA, and SLP seeking motivation, support, and resources to bridge the gap to alternative careers without going back to school. Listen to interviews with Rehab Rebel Guests to gain insight from those who have deviated from their traditional health career path so that you can start your non-traditional career to achieve both a positive career and life change. Join the Rehab Rebels Tribe by hitting that subscribe button and get ready to change your life an ...
 
Get the latest, cutting edge research and insight on personal growth, development, and improvement from the top experts leading our world in 2022, and be the first to hear it. I’m Kevin Miller and I partner with the biggest publishers and talent agencies to bring you intimate conversations in three part series, with today's most intriguing and credible influencers; from psychologists to entertainers, Ivy League professors to pro athletes, top entrepreneurs to comedians. We discuss and uncove ...
 
Welcome to the All About Kids Podcast brought to you by All About Kids (@aaakcares), the leading provider of children’s therapeutic and educational services in New York. This podcast will dive deep into discussions on children’s developmental needs and the stories of parents and other adults who have dealt with developmental disorders. Each conversation on this show is an extension of our mission: to create a world where all children have access to intervention allowing them to live a full a ...
 
The Neurodiversity Podcast talks with leaders in the fields of psychology, education, and beyond, about positively impacting neurodivergent people. Our goal is to reframe differences that were once considered disabilities or disorders, promote awareness of this unique population, and improve the lives of neurodivergent and high-ability people.
 
This work describes and analyzes several cases of pathological behavior. The interest comes not only from the cases themselves, but also from the of-its-time analysis which is mired in what we now know to be wrong thinking about mental illness, sexuality, gender, and race. - written by Mary Schneider
 
Professor Hallux's Pathology Puzzles is a brand new feature series on Fun Kids all about how pathologists solve puzzles about our bodies! When we think about pathology, we often think it's all about dead bodies. But that's only a small part of pathology! Whilst pathology can be really important to find out what caused someone to die, it’s also used in many other cool ways, like when you're feeling ill, and you go to and see your doctor. Doctors rely on the knowledge, diagnostic skills and ad ...
 
Dead Men Do Tell Tales is a bimonthly podcast produced by two pathology residents interested in becoming forensic pathologists, Drs. Jordan Taylor (JET) and Nicole Croom (Nic). Forensic pathology is a medical subspecialty that focuses on determining the cause, manner, and mechanism of death. Forensic pathologists help organize and work closely with death investigators to piece together a person’s final moments. Each episode, JET and Nic engage in an in-depth conversation about a forensics-re ...
 
Multiple sclerosis (MS) affects 400,000 Americans and is the leading nontraumatic cause of neurological disability in young adults. Although MS is progressive, it is not fatal, and patients generally have a normal lifespan. However, progressive disability imposes increasing limitations and reduced quality of life for these patients. Newly released consensus guidelines offer neurologists and primary care physicians direction to improve the differential diagnosis and develop strategies to faci ...
 
General Broadcast is a free online learning resource aimed at UK based paramedics, student paramedics, and ambulance staff. Podcasts are short summaries of topics designed to refresh memories and provide links to other resources for further learning. If you work in pre-hospital emergency care then this is for you.
 
You make tough calls when caring for acutely ill and injured children. Join us for strategy and support -- through clinical cases, research and reviews, and best-practice guidance in our ever-changing acute care landscape. Please visit our site at http://PEMplaybook.org/ for show notes and to get involved with the show -- see you there!
 
This podcast is a series of lectures on Anatomy and Physiology taught by Dr. Gerald Cizadlo. For a course outline and/or Dr. C's blackboard, please visit the Web site at http://faculty.css.edu/gcizadlo/AnatPhys/index.html. If you'd like to register for the free and open online course associated with Doc C.'s Intro to Anatomy and Physiology podcast, please go to http://go.css.edu/learn. The course is offered in Fall 2012.
 
Spill the OT Podcast is a judgement-free zone to spill all of the tea about OT, PT, and SLP. We talk to REAL therapists out in the field to learn about the ups, downs, and everything in between. No topics are off limits! Let's chat salary, medicare, student loans, the good, the bad, all things therapy. Support this podcast: https://anchor.fm/spilltheot/support
 
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Typology

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Typology

Ian Morgan Cron

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Who are we? Why do we act, think and feel the way we do? How can we become our best, most authentic selves? Welcome to Typology, a podcast that explores the mystery of the human personality and how we can use the Enneagram typing system as a tool to become our best, most authentic selves. Hosted by author, speaker and counselor, Ian Morgan Cron, Typology features interviews with thought leaders from every sphere of life, including renowned Enneagram authors and teachers, psychologists, theol ...
 
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show series
 
In this week’s episode, SPA’s Senior Advisor - Mental Health and Trauma, Laura Caire, speaks with Anna Kearns and Lauren Hamill from Sydney Children’s Hospital, Randwick. Anna and Lauren explore the importance of routine screening and onward referral for families who have unmet basic needs.Please follow the links for resources mentioned by Anna and…
 
Chulong Zhang, Yuming Jiang, Na Li, Zhicheng Zhang, Md Tauhidul Islam, Jingjing Dai, Lin Liu, Wenfeng He, Wenjian Qin, Jing Xiong, Yaoqin Xie and Xiaokun LiangAbstractPathologists need to combine information from differently stained pathological slices to obtain accurate diagnostic results. Deformable image registration is a necessary technique for…
 
Childhood cancer patients are surviving longer that ever before but continue to experience chronic illness and life-altering deficits from their cancer and it’s treatment. We have to shift our focus from just helping these patients survive to helping patients thrive after cancer. Survivorship has unique implications for speech-language pathologists…
 
How to Spot a Narcissist: The Pathology of a Narcissistic Liar - Do narcissists lie? Of course! Narcissists are pathological liars, and they're often such effective liars that they will start to believe their own lies. So many of their lies go undetected for years or even lifetimes. This is not about "little white lies." If a narcissist is lying to…
 
Therapists and teachers (and anyone else in a “helping people” profession) always have to take care of OTHER people…which is hard to do if you’re burnt out all the time. But most of the advice they’re given about “self-care” and achieving a “work-life” balance is unhelpful. There are a lot of “tips and tools” out there for stress relief and product…
 
In this episode, neurodivergent RD Naureen Hunani helps us unpack the harm of systematic desensitization for picky eating in autistic kids. Then she lays out a framework for what we can do to support picky eaters in a more affirming way. This episode will inspire you to reassess everything you thought you knew about best practices in feeding therap…
 
I grew up with very strong beliefs and I viewed being resolute and concrete in them as a strength. In our culture today we see this played out every moment of every day as the media pits one side against the other and everyone’s belief as right or wrong, even to the point of the other side as being flat out evil. Social media isn’t a place of consi…
 
In this episode, Michelle and Erin discuss functional strategies for getting a pediatric patient started. If you are in the world of pediatric private practice (home health and/or a clinic), this is the hour for you. Michelle and Erin share easy-to-implement strategies for how to ethically triage a waitlist, the process of completing comprehensive …
 
The Scapegoat Awakening - What Happens When the Scapegoat in a Toxic Family Realizes the Truth - If you were the scapegoat of the family, you'd be able to relate to this discussion, in which Angie Atkinson and Lise Colucci talk about being the scapegoat and what happens when the scapegoat in a family situation recognizes that there's a problem in t…
 
Bu Jin, Beiwen Tian, Hao Zhao, Guyue ZhouAbstractWe address the new problem of language-guided semantic style transfer of 3D indoor scenes. The input is a 3D indoor scene mesh and several phrases that describe the target scene. Firstly, 3D vertex coordinates are mapped to RGB residues by a multi-layer perceptron. Secondly, colored 3D meshes are dif…
 
Laura Smith, Ilya Kostrikov, Sergey LevineAbstractDeep reinforcement learning is a promising approach to learning policies in uncontrolled environments that do not require domain knowledge. Unfortunately, due to sample inefficiency, deep RL applications have primarily focused on simulated environments. In this work, we demonstrate that the recent a…
 
Ye Ma and Lu ZongAbstractIn comparison to single-document summarization, abstractive Multi-Document Summarization (MDS) brings challenges on the representation and coverage of its lengthy and linked sources. This study develops a Parallel Hierarchical Transformer (PHT) with attention alignment for MDS. By incorporating word- and paragraph-level mul…
 
Yang Zhi-HanAbstractAuto-encoding Variational Bayes (AEVB) is a powerful and general algorithm for fitting latent variable models (a promising direction for unsupervised learning), and is well-known for training the Variational Auto-Encoder (VAE). In this tutorial, we focus on motivating AEVB from the classic Expectation Maximization (EM) algorithm…
 
John Harwell, Maria GiniAbstractModern intelligent systems researchers form hypotheses about system behavior and then run experiments using one or more independent variables to test their hypotheses. We present SIERRA, a novel framework structured around that idea for accelerating research development and improving reproducibility of results. SIERR…
 
Enqiang Zhu, Yu Zhang and Chanjuan LiuAbstractThe maximum independent set (MIS) problem, a classical NP-hard problem with extensive applications in various areas, aims to find a largest set of vertices with no edge among them. Due to its computational intractability, it is difficult to solve the MIS problem effectively, especially on large graphs. …
 
Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Jonghye WooAbstractUnsupervised domain adaptation (UDA) has been widely used to transfer knowledge from a labeled source domain to an unlabeled target domain to counter the difficulty of labeling in a new domain. The training of conventional solutions usually relies on the ex…
 
Xiaofeng Liu, Fangxu Xing, Jia You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye WooAbstractUnsupervised domain adaptation (UDA) has been successfully applied to transfer knowledge from a labeled source domain to target domains without their labels. Recently introduced transferable prototypical networks (TPN) further addresses class-wise condi…
 
Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai YuanAbstractWe report a previously undiscovered problem in multiagent reinforcement learning (MARL), named Diffusion of Responsibility (DR). DR causes failures in negotiating a reliable division of responsibilities to complete sophisticated cooperative tasks. It reflects a flaw i…
 
Yuting Ding, Di WuAbstractMissing data is an inevitable and common problem in data-driven intelligent transportation systems (ITS). In the past decade, scholars have done many research on the recovery of missing traffic data, however how to make full use of spatio-temporal traffic patterns to improve the recovery performance is still an open proble…
 
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tom\'as Lozano-P\'erez, Leslie Pack KaelblingAbstractBilevel planning, in which a high-level search over an abstraction of an environment is used to guide low-level decision making, is an effective approach to solving long-horizon tasks in continuous state and action spaces. Recent work h…
 
Jaemin Yoo, Tiancheng Zhao, and Leman AkogluAbstractSelf-supervised learning (SSL) has emerged as a promising alternative to create supervisory signals to real-world tasks, avoiding extensive cost of careful labeling. SSL is particularly attractive for unsupervised problems such as anomaly detection (AD), where labeled anomalies are costly to secur…
 
Fatema Al Mukhaini, Shaikhah Al Abdoulie, Aisha Al Kharuosi, Amal El Ahmad, Monther AldwairiAbstractFake news existed ever since there was news, from rumors to printed media then radio and television. Recently, the information age, with its communications and Internet breakthroughs, exacerbated the spread of fake news. Additionally, aside from e-Co…
 
Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin HuAbstractDense passage retrieval aims to retrieve the relevant passages of a query from a large corpus based on dense representations (i.e., vectors) of the query and the passages. Recent studies have explored improving pre-trained language models to boost dense retrieval performa…
 
Shreshth Tuli and Giuliano Casale and Nicholas R. JenningsAbstractEdge Federation is a new computing paradigm that seamlessly interconnects the resources of multiple edge service providers. A key challenge in such systems is the deployment of latency-critical and AI based resource-intensive applications in constrained devices. To address this chall…
 
Olusola T. Odeyomi, Olubiyi O. Akintade, Temitayo O. Olowu, and Gergely ZarubaAbstractThe convergence of 5G architecture and deep learning has gained a lot of research interests in both the fields of wireless communication and artificial intelligence. This is because deep learning technologies have been identified to be the potential driver of the …
 
Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie TangAbstractKnowledge graph (KG) embeddings have been a mainstream approach for reasoning over incomplete KGs. However, limited by their inherently shallow and static architectures, they can hardly deal with the rising focus on complex logical queries, whi…
 
Zhenwei Tang, Tilman Hinnerichs, Xi Peng, Xiangliang Zhang, Robert HoehndorfAbstractMany ontologies, i.e., Description Logic (DL) knowledge bases, have been developed to provide rich knowledge about various domains, and a lot of them are based on ALC, i.e., a prototypical and expressive DL, or its extensions. The main task that explores ALC ontolog…
 
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan LuoAbstractKnowledge Graph Embeddings (KGE) aim to map entities and relations to low dimensional spaces and have become the \textit{de-facto} standard for knowledge graph completion. Most existing KGE methods suffer from the sparsity challenge, where it is ha…
 
Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie HuangAbstractHow to build and use dialogue data efficiently, and how to deploy models in different domains at scale can be two critical issues in building a task-oriented dialogue system. In this paper, we propose a novel manual-guided dialogue scheme to alleviate these problems, whe…
 
Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska, Federico Cerutti, Kumar Vijay Mishra and Alfred O. Hero IIIAbstractIn second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i.e., probabilities over probabilities. The delta-method has been applied to extend exact first-order inference met…
 
How can we keep space safe? Neil deGrasse Tyson and comic-environmentalist co-host Matt Winning learn about the space industry and how we can keep debris out of orbit with aerospace engineers Jenna Tiwana and Danielle Wood, with words from Steve Wozniak. NOTE: StarTalk+ Patrons can watch or listen to this entire episode commercial-free here: https:…
 
Kun Qiu, Harry Chang, Ying Wang, Xiahui Yu, Wenjun Zhu, Yingqi Liu, Jianwei Ma, Weigang Li, Xiaobo Liu, Shuo DaiAbstractSophisticated traffic analytics, such as the encrypted traffic analytics and unknown malware detection, emphasizes the need for advanced methods to analyze the network traffic. Traditional methods of using fixed patterns, signatur…
 
Songpengcheng Xia, Lei Chu, Ling Pei, Wenxian Yu, Robert C. QiuAbstractHuman activity recognition (HAR) with wearables is promising research that can be widely adopted in many smart healthcare applications. In recent years, the deep learning-based HAR models have achieved impressive recognition performance. However, most HAR algorithms are suscepti…
 
Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong ZhangAbstractFederated learning is an emerging technique for training models from decentralized data sets. In many applications, data owners participating in the federated learning system hold not only the data but also a set of domain knowledge. Such knowledge…
 
Michael Klamkin, Mathieu Tanneau, Terrence W.K. Mak, Pascal Van HentenryckAbstractThis paper considers optimization proxies for Optimal Power Flow (OPF), i.e., machine-learning models that approximate the input/output relationship of OPF. Recent work has focused on showing that such proxies can be of high fidelity. However, their training requires …
 
The Silent Treatment - Why You're Getting It and How to Deal- The ultimate guide to understanding and dealing with the narcissist's silent treatment. Understand how the narcissist's brain works and how to get them out of their silence without confrontation. Silent treatment by narcissists - what it is and how to deal with it. What the silent treatm…
 
Chuyen Nguyen and Caleb Morgan and Sudip MittalAbstractAs the practicality of Artificial Intelligence (AI) and Machine Learning (ML) based techniques grow, there is an ever increasing threat of adversarial attacks. There is a need to red team this ecosystem to identify system vulnerabilities, potential threats, characterize properties that will enh…
 
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios SavvidesAbstractWhile parameter efficient tuning (PET) methods have shown great potential with transformer architecture on Natural Language Processing (NLP) tasks, their effectiveness is still under-studied with large-scale ConvNets on Computer Vision (CV) tasks. T…
 
Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, Hyejin Oh, Georges El Fakhri, Je-Won Kang, Jonghye WooAbstractDeep learning has become the method of choice to tackle real-world problems in different domains, partly because of its ability to learn from data and achieve impressive performance on a wide range of applications. However, its success usually reli…
 
Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. MurphyAbstractDental disease is one of the most common chronic diseases despite being largely preventable. However, professional advice on optimal oral hygiene practices is often forgotten or abandoned by patients. Therefore patients may benefit from timel…
 
Florian Busch, Moritz Kulessa, Eneldo Loza Menc\'ia and Hendrik BlockeelAbstractA common approach to aggregate classification estimates in an ensemble of decision trees is to either use voting or to average the probabilities for each class. The latter takes uncertainty into account, but not the reliability of the uncertainty estimates (so to say, t…
 
Karsten WendlandAbstractSpeech manuscript (German + English) of the impulse lecture for the panel discussion "May machines (be able to) think?" at the 102nd Katholikentag on May 28, 2022 in Stuttgart. Panel: Winfried Kretschmann (MdL, Prime Minister Baden-W\"urttemberg, Stuttgart), Ursula Nothelle-Wildfeuer (Freiburg), Michael Resch (Stuttgart),Kar…
 
In this episode, hosts Mohannad, Prasanth, and Ali interview Cheryl Kreider Carey (SIIM CEO), Dr. Marc Kohli (past SIIM Chair) and Dr. Tessa Cook (current SIIM Chair) to talk about the SIIM 2022 Annual Meeting, Expansion of SIIM in terms of geography and medical specialities, leadership transition at the Board Chair level, and other things. PS: Apo…
 
Imran Hossain, Md Aminul Haque Palash, Anika Tabassum Sejuty, Noor A Tanjim, MD Abdullah AL Nasim, Sarwar Saif, Abu Bokor SurajAbstractIn this big data era, it is hard for the current generation to find the right data from the huge amount of data contained within online platforms. In such a situation, there is a need for an information filtering sy…
 
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