Table1_The influence of herbal medicine on serum motilin and its effect on human and animal model: a systematic review.DOCX by Min-Seok Cho (17631351)

“…Its most well understood function is to participate in Phase III of the migrating myoelectric complex component of GI motility. …”

Table2_The influence of herbal medicine on serum motilin and its effect on human and animal model: a systematic review.DOCX by Min-Seok Cho (17631351)

“…Its most well understood function is to participate in Phase III of the migrating myoelectric complex component of GI motility. …”

Image1_The influence of herbal medicine on serum motilin and its effect on human and animal model: a systematic review.PDF by Min-Seok Cho (17631351)

“…Its most well understood function is to participate in Phase III of the migrating myoelectric complex component of GI motility. …”

Predicting transitions across macroscopic states for railway systems by Mark M. Dekker (6807971)

“…Secondly, we apply a clustering algorithm to the reduced phase-space, resulting in the revelation of states of the system. …”

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation by Ryo Tamura (1957942)

“…We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with diverse exploratory objectives. NIMO provides a framework for integrating AI into robotic experimental systems that are controlled by other OS platforms based on both Python and non-Python languages. …”

Video1_Modeling of slip rate-dependent traversability for path planning of wheeled mobile robot in sandy terrain.MP4 by Go Sakayori (17843072)

“…In this paper, we focus on the transient slip, or slip rate the time derivative of slip ratio, to explicitly address it into the cost function of path planning algorithm. We elaborated a regression model that takes slip rate and traction force as inputs and outputs slip ratio, which is employed in the cost function to minimize the rover slip in path planning phase. …”

Video2_Modeling of slip rate-dependent traversability for path planning of wheeled mobile robot in sandy terrain.MP4 by Go Sakayori (17843072)

“…In this paper, we focus on the transient slip, or slip rate the time derivative of slip ratio, to explicitly address it into the cost function of path planning algorithm. We elaborated a regression model that takes slip rate and traction force as inputs and outputs slip ratio, which is employed in the cost function to minimize the rover slip in path planning phase. …”

Stochastic-SplitGAS: A Quantum Monte Carlo Multi-Reference Perturbation Theory Based on the Imaginary-Time Evolution of Effective Hamiltonians by Luca Bonfirraro (22773818)

“…Qualitatively correct electronic structures generally require large active space multireference wave functions, while dynamic correlation effects beyond the active space are crucial for quantitatively accurate descriptions of magnetic, catalytic and optical properties of such systems. …”

Data_Sheet_1_Arrhythmogenic Effects of Genetic Mutations Affecting Potassium Channels in Human Atrial Fibrillation: A Simulation Study.docx by Rebecca Belletti (10898799)

“…Atrial susceptibility of the tissues to spiral wave generation was also investigated studying the temporal vulnerability. …”

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

“…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …”

Data_Sheet_1_A Waveform-Independent Measure of Recurrent Neural Activity.PDF by Immo Weber (2423185)

“…Neural oscillations in distinct frequency bands are central to physiological brain function, and alterations thereof have been associated with several neurological and psychiatric disorders. …”

Data_Sheet_2_A Waveform-Independent Measure of Recurrent Neural Activity.PDF by Immo Weber (2423185)

“…Neural oscillations in distinct frequency bands are central to physiological brain function, and alterations thereof have been associated with several neurological and psychiatric disorders. …”

Data Sheet 1_Urinary lipid metabolites and progression of kidney disease in individuals with type 2 diabetes.pdf by Yu Xiao (150812)

“…The subsequent validation phase utilized an independent cohort of 248 T2D patients, in which rapid kidney function decline was defined as the highest quartile of annual estimated glomerular filtration rate (eGFR) reduction. …”

Least Bridges Graphs by Richard Frost (14064363)

“…This toolbox was originally created for analysis of values arising in genetic distance measures. The contained algorithms correct errors in commonly used nearest-neighbor and cluster software that are not designed with distances in mind (e.g. nearest-neighbor topology functions currently found in Python, SPSS, etc).…”

Avaliação de Diferentes Abordagens na Solução do Problema de Equilíbrio Sólido-Líquido em Óleos Parafínicos by L. BLASS (10352832)

“…Several different thermodynamic models were evaluated for liquid phase: the Peng-Robinson equation of state (PR-EOS), and the activity coefficient models for ideal solution, the predictive Wilson model, the predictive Universal Quasi-chemical (UNIQUAC) model, and UNIQUAC Functional-group Activity Coefficient (UNIFAC) model. …”

Supplementary file 3_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 2_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 6_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 1_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”

Supplementary file 4_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…</p>Methods<p>The work was conducted in six phases: (1) construction of a structured database of welfare indicators; (2) a proof-of-concept study; (3) design of a greedy selection algorithm; (4) enhancement of the algorithm using branch-and-bound and backtracking methods; (5) performance and sensitivity testing, and (6) creation of two case studies. …”