Relevant bibliographies by topics / Fall

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fall'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Fall"

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Cave, Rachel. "When whale fall falls." New Scientist 199, no. 2668 (2008): 21. http://dx.doi.org/10.1016/s0262-4079(08)61989-2.

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KALYANAKRISHNAN, SHIVARAM, and AMBARISH GOSWAMI. "LEARNING TO PREDICT HUMANOID FALL." International Journal of Humanoid Robotics 08, no. 02 (2011): 245–73. http://dx.doi.org/10.1142/s0219843611002496.

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Falls are undesirable in humanoid robots, but also inevitable, especially as robots get deployed in physically interactive human environments. We consider the problem of fall prediction: to predict if the balance controller of a robot can prevent a fall from the robot's current state. A trigger from the fall predictor is used to switch the robot from a balance maintenance mode to a fall control mode. It is desirable for the fall predictor to signal imminent falls with sufficient lead time before the actual fall, while minimizing false alarms. Analytical techniques and intuitive rules fail to s
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Wright, Stephen. "One falls, we all fall." Nursing Standard 24, no. 47 (2010): 26–27. http://dx.doi.org/10.7748/ns.24.47.26.s31.

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Stückemann, Wolfgang. "Editorial. Vom Fall zur Falle." Fachanwalt Arbeitsrecht 22, no. 11 (2018): 353. http://dx.doi.org/10.1515/fa-2018-221101.

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Davis, Kathy. "Trips, falls and fall injuries." Primary Health Care 24, no. 7 (2014): 16. http://dx.doi.org/10.7748/phc.24.7.16.s24.

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Zhang, Duo, Xusheng Zhang, Shengjie Li, et al. "LT-Fall." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 1 (2022): 1–24. http://dx.doi.org/10.1145/3580835.

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Falls are the leading cause of fatal injuries to elders in modern society, which has motivated researchers to propose various fall detection technologies. We observe that most of the existing fall detection solutions are diverging from the purpose of fall detection: timely alarming the family members, medical staff or first responders to save the life of the human with severe injury caused by fall. Instead, they focus on detecting the behavior of human falls, which does not necessarily mean a human is in real danger. The real critical situation is when a human cannot get up without assistance
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Kalyanakrishnan, Shivaram, and Ambarish Goswami. "Predicting Falls of a Humanoid Robot through Machine Learning." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 2 (2010): 1793–98. http://dx.doi.org/10.1609/aaai.v24i2.18815.

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Although falls are undesirable in humanoid robots, they are also inevitable, especially as robots get deployed in physically interactive human environments. We consider the problem of fall prediction, i.e., to predict if a robot's balance controller can prevent a fall from the current state. A trigger from the fall predictor is used to switch the robot from a balance maintenance mode to a fall control mode. Hence, it is desirable for the fall predictor to signal imminent falls with sufficient lead time before the actual fall, while minimizing false alarms. Analytical techniques and intuitive r
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Habib Perez, Olinda D., Samantha Martin, Katherine Chan, Hardeep Singh, Karen K. Yoshida, and Kristin E. Musselman. "A qualitative photo-elicitation study exploring the impact of falls and fall risk on individuals with subacute spinal cord injury." PLOS ONE 17, no. 6 (2022): e0269660. http://dx.doi.org/10.1371/journal.pone.0269660.

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Background Individuals living with chronic spinal cord injury or disease (SCI/D) are at an increased risk of falling. However, little is known about the impact of falls and fall risk in the subacute phase of SCI/D, despite this being a time when fall prevention initiatives are delivered. Hence, we explored the impact of falls and fall risk in individuals with subacute SCI/D as they transitioned from inpatient rehabilitation to community living. Methods This qualitative photo-elicitation study used an inductive thematic analysis. Eight individuals (7 male) undergoing inpatient rehabilitation at
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Dinh, Anh, Yang Shi, Daniel Teng, et al. "A Fall and Near-Fall Assessment and Evaluation System." Open Biomedical Engineering Journal 3, no. 1 (2009): 1–7. http://dx.doi.org/10.2174/1874120700903010001.

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The FANFARE (Falls And Near Falls Assessment Research and Evaluation) project has developed a system to fulfill the need for a wearable device to collect data for fall and near-falls analysis. The system consists of a computer and a wireless sensor network to measure, display, and store fall related parameters such as postural activities and heart rate variability. Ease of use and low power are considered in the design. The system was built and tested successfully. Different machine learning algorithms were applied to the stored data for fall and near-fall evaluation. Results indicate that the
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Fahimnia, Somayeh, Hadi Mirhedayati Roudsari, John Doucette, and Armin Shahrokni. "Falls in Older Patients with Cancer Undergoing Surgery: Prevalence and Association with Geriatric Syndromes and Levels of Disability Assessed in Preoperative Evaluation." Current Gerontology and Geriatrics Research 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/5713285.

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Falls are common among older adults. However, not much is known about the prevalence of falls among older patients with cancer. In 2015, older patients with cancer referred to Geriatrics service for preoperative evaluation were assessed for fall history, basic and instrumental activities of daily living (ADL and IADL), KPS, and use of assistive device. Of 806 patients, 215 (26.7%) patients reported fall. Incidence of last fall inside and outside home was 54.4% and 45.5%, respectively. Among patients with no falls, 33.6% had KPS ≤ 80 compared to 59.6% with one-time fall and 60.7% with multiple
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Dissertations / Theses on the topic "Fall"

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Campbell, Baili Denise. "Fall Safety Bundle." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2797.

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The Centers for Medicare and Medicaid Services (CMS) report thousands of falls in hospitals each year. The CMS does not reimburse hospitals for fall related injuries, costing the hospital system organization for which this DNP project was designed millions of dollars each year. Framed within the Iowa model of evidence-based practice and using a team approach, the purpose of this project was to develop an evidence-based (EB) fall safety bundle for use by nursing staff and a curriculum to educate staff on prevention strategies. The components of the EB fall bundle kit were approved by the stakeh
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Belcher, Janet Maxine. "Quality Initiative to Reduce Falls in an Acute Care Setting." ScholarWorks, 2020. https://scholarworks.waldenu.edu/dissertations/7599.

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Falls are the most frequently reported incidents among hospitalized patients in the United States with at least 4 falls per 1,000 patient days occurring annually. Falls are related to high rates of mortality and morbidity and high hospital costs. The purpose of this project was to evaluate a fall prevention quality initiative to reduce falls in an acute care facility by educating staff on an evidence-based fall prevention protocol. The project sought to explore whether implementation of an evidence-based fall prevention initiative in educating nurses would affect the nurses’ professional knowl
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Delotelle, Amanda J. "Fall." Virtual Press, 2005. http://liblink.bsu.edu/uhtbin/catkey/1327291.

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The creative project involved writing and producing a short movie and an accompanying paper that described all facets of the scriptwriting and movie-making process. The movie, entitled "Fall," focuses on date rape and lying. The movie was based on research into date rape and Posttraumatic Stress Disorder. The movie chronicles a lonely young woman who has problems fitting in at her University. She can't seem to make friends and she feels inadequate among the other students. She wants attention and she gets it when she lies to a friend about being raped. As word of her "rape" spreads, people com
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Vonderhaar-Picard, Vanessa. "Identification of High Fall Risk Patients in Acute Rehab." Mount St. Joseph University Dept. of Nursing / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=msjdn1557840767904783.

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Tuvemo, Johnson Susanna. "Falls and fall prevention in community-dwelling older adults." Doctoral thesis, Uppsala universitet, Institutionen för neurovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-333507.

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Falls are the primary cause of injuries among older adults, and accidents that result from falls can lead to personal suffering and extensive societal burdens. The overall aims of this thesis were to explore and describe falls and fall prevention strategies in community-dwelling older adults and to evaluate a fall prevention home exercise program, the Otago Exercise Program (OEP), with or without motivational interviewing (MI). Methods: Qualitative and quantitative research methods were uses. The designs were as follows: a cross-sectional, descriptive and comparative study (study I); a descrip
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SUBBURAMAN, RAJESH. "Fall Prediction and Controlled Fall for Humanoid Robots." Doctoral thesis, Università degli studi di Genova, 2019. http://hdl.handle.net/11567/939791.

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Humanoids which resemble humans in their body structure and degrees of freedom are anticipated to work like them within infrastructures and environments constructed for humans. In such scenarios, even humans who have exceptional manipulation, balancing, and locomotion skills are vulnerable to fall, humanoids being their approximate imitators are no exception to this. Furthermore, their high center of gravity position in relation to their small support polygon makes them more prone to fall, unlike other robots such as quadrupeds. The consequences of these falls are so devastating that it can
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Hall, Courtney D. "Fall Risk." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/560.

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Bidgood, Lee. "Fall Celebration." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/3253.

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Alnes, Jacqueline. "Fall Risk." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2310.

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This work of nonfiction examines the ways in which an unexpected and devastating health condition at the age of eighteen influences a person's identity and perception of self. The narrative is based largely around running, and the narrator explores what it means to live in a body that might fail.
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Martin, Rosemary. "The Impact of Engagement Strategies on the Reduction of Patient Falls." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4462.

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Despite the availability of many fall prevention measures, many patients fall in U.S. hospitals each year. Experts view patient fall rates as the measure that can be most affected by a nurse-led, evidence-based intervention. The purpose of this quality improvement project was to implement and evaluate the impact of patient engagement strategies on patient compliance to fall prevention education and the reduction of falls. The quality improvement framework used for this project was the Iowa Model. Interventions for this project included patient engagement strategies including the teach-back (TB
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Books on the topic "Fall"

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ill, Halpern Shari, ed. Fall leaves fall! Scholastic Press, 2000.

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Pillau, Helmut. Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4.

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Roca, Núria. Fall. Barron's Educational Series, 2004.

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Amoroso, Cynthia. Fall. Child's World, 2010.

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McAdam, Colin. Fall. Hamish Hamilton Canada, 2009.

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Busby, Ailie. Fall. Child's Play-International, 2015.

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Kalkman, Lora. Fall. Publications International, 2000.

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Amoroso, Cynthia. Fall. Child's World, 2010.

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Demarest, Chris L. Fall. Harcourt, 1996.

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Rius, María. Fall. Barron's Educational Series, 1998.

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Book chapters on the topic "Fall"

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Bartl, Reiner, and Christoph Bartl. "Falls and Fall Prevention." In Bone Disorders. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29182-6_38.

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Bartl, Reiner, and Christoph Bartl. "Falls and Fall Prevention." In The Osteoporosis Manual. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00731-7_33.

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Pillau, Helmut. "Abschiebehaft." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_1.

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Pillau, Helmut. "Das gute Referat." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_10.

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Pillau, Helmut. "Zieleinlauf." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_100.

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Pillau, Helmut. "Das Rad wird immer wieder neu erfunden." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_11.

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Pillau, Helmut. "„Dear Doosie“." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_12.

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Pillau, Helmut. "Dem Teufel die Seele verkaufen." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_13.

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Pillau, Helmut. "Dereismus." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_14.

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Pillau, Helmut. "Der Hofnarr." In Von Fall zu Fall… Steinkopff, 2004. http://dx.doi.org/10.1007/978-3-662-13380-4_15.

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Conference papers on the topic "Fall"

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Cartocci, Nicholas, Antonios E. Gkikakis, Fabio Pera, Maria Teresa Settino, Darwin G. Caldwell, and Jesús Ortiz. "Fall-KAN: Fall impact time estimation Kolmogorov-Arnold Network." In 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2024. https://doi.org/10.1109/iceccme62383.2024.10796549.

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Toche, James, and Tyler Boulom. "Enhancing Fall Detection Accuracy in Diverse Home Environments using an Adafruit Microcontroller-Based Wearable Device." In 10th International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141906.

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The problem addressed in this project is the variability in fall detection accuracy due to different room layouts in homes. Traditional fall detection systems often fail to account for diverse environments, leading to false positives or missed detections. To solve this, the project integrates an Adafruit microcontroller with an accelerometer to monitor movement and detect falls, using a threshold-based algorithm for accuracy. The key components include the microcontroller, battery, and casing, which allow for wearable, real-time monitoring. Challenges included ensuring consistent performance a
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Ozkan, Birce. "Fall." In the 2015 ACM International Joint Conference. ACM Press, 2015. http://dx.doi.org/10.1145/2800835.2801675.

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Jee, Youngju, Eunjoo Lee, Eunsi Jang, Hyunhwa Hong, and Kyoungran An. "Relations among Fall Efficacy, Fear of fall, Fall Knowledge, and Fall Prevention Behavior in the Elderly." In 10th International Workshop Series Convergence Works. Global Vision School Publication, 2016. http://dx.doi.org/10.21742/asehl.2016.9.11.

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Forrest, K. Y. Z., and J. M. Cali. "Associated human factors for falls and fall-related injuries." In SAFE 2009. WIT Press, 2009. http://dx.doi.org/10.2495/safe090341.

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Weihao Qu, Feng Lin, Aosen Wang, and Wenyao Xu. "Evaluation of a low-complexity fall detection algorithm on wearable sensor towards falls and fall-alike activities." In 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). IEEE, 2015. http://dx.doi.org/10.1109/spmb.2015.7405427.

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in Older Persons, Risk. "Influence of Footwear on Fall." In Applied Human Factors and Ergonomics Conference. AHFE International, 2020. http://dx.doi.org/10.54941/ahfe100348.

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It has been shown that several gait parameters are predictive for fall risk in older persons. There is evidence that footwear can influence foot position and gait patterns, especially in older persons. We carried out experiments to study the effects of type of footwear on gait patterns in persons aged 60+. We found an association between the type of footwear and certain gait parameters that are predictive for falls. In conclusion footwear can increase fall risk. Footwear for older people should be designed in such a way that risk of falls is minimized.
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"VTC2005-Fall." In VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005. IEEE, 2005. http://dx.doi.org/10.1109/vetecf.2005.1558158.

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Chakraborty, Tusher, Akshay Uttama Nambi, Ranveer Chandra, et al. "Fall-curve." In SenSys '18: The 16th ACM Conference on Embedded Networked Sensor Systems. ACM, 2018. http://dx.doi.org/10.1145/3274783.3274853.

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Hardie, Peter. "UpDown Fall." In ACM SIGGRAPH 2006 Art gallery. ACM Press, 2006. http://dx.doi.org/10.1145/1178977.1179024.

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Reports on the topic "Fall"

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Alnes, Jacqueline. Fall Risk. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2307.

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Reinhart, Carmen, and Vincent Reinhart. After the Fall. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16334.

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Thomas, James. Fall Protection Introduction. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2372649.

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Farnell, Michael. Fall SULI Report. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2481549.

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Chochoms, Michael. Fall Protection Introduction, #33462. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1259639.

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Bentley, Jennifer A., and Mariah Schmitt. 2017 Fall Dairy Tour. Iowa State University, 2018. http://dx.doi.org/10.31274/ans_air-180814-393.

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Remedes, Tyler Joseph. Fall 2019 Dissertation Update. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1570611.

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Remedes, Tyler Joseph, Scott D. Ramsey, Joseph H. Schmidt, and James Baciak. Fall 2019 Dissertation Update. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1574744.

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Kippen, Karen. Physics Flash Fall 2020. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1679990.

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Kippen, Karen. Physics Flash Fall 2023. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2007336.

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