Slow Movement Research Articles

Saccades, pupil response and blink abnormalities in Huntington’s disease patients during free viewing

ObjectiveVideo-based eye tracking was used to investigate saccade, pupil, and blink abnormalities among patients with Huntington’s disease (HD) who watched sequences of short videos. HD, an autosomal dominant neurodegenerative disorder resulting from a CAG mutation on chromosome 4, produces motor and cognitive impairments including slow or irregular eye movements, which have been studied using structured tasks. MethodsTo explore how HD affects eye movements under instruction free conditions, we assessed 22 HD patients and their age matched controls in a 10-minute video-based free viewing task. ResultsPatients with HD experienced a significant reduction in saccade exploration rate following video clip transitions, an increase in pupil reactions to luminance changes after clip transitions, and a significant higher blink rate throughout the task compared to the control group. ConclusionsThese results show that HD has a significant impact on how patients visually explore and respond to their environment under unconstrained and ecologically natural conditions. SignificanceEye tracking in HD patients revealed saccadic, pupil, and blink abnormalities in early HD patients, suggestive of brain circuitry abnormalities that probably involve brain stem deficits. Further research should explore the impact of these changes on the quality of life of the patients affected by the disease.

Collapse of an axisymmetric cavity during slow movements of a cylinder in a liquid after a separation impact

Collapse of an axisymmetric cavity during slow movements of a cylinder in a liquid after a separation impact

SEFERİHİSAR AS A CITTASLOW

Inspired by the Slow Food Movement, the main purpose of the Cittaslow approach is to inspire a healthier lifestyle by disseminating the Slow Food philosophy to local communities and city governments and implementing eco-gastronomy concepts in daily life practice. Accordingly, food consumption should be seasonal, and respect for health should be the first practice. The second obvious practice is to ensure that places such as works of art, squares, theatres, shops, cafes and restaurants are protected and used in the spirit of ancient culture and traditions. Thus, it is desired to resist the homogenization and globalization of the city by protecting the environment and preserving the cultural diversity and originality of the city. A third sign is that slowing the pace of life and traffic flow in settlements increases everyone's quality of life. Seferihisar, Turkey's first calm city, offers very special historical heritage items from the past, natural beauties and handmade products of today. Their promotion and protection are extremely important. Again, this example is intended to be a criterion for candidate settlements that will enter this group in the future. KEYWORDS: Eco-friendly settlements, social justice, safety, sustainable environment, good living.

LATIHAN KESEIMBANGAN DENGAN METODE LEE SILVERMAN VOICE TREATMENT (LSVT) BIG PADA LANSIA

Based on the period of life, someone entering old age will experience many setbacks. This setback will be faced with various kinds of health problems. These health problems occur because elderly people experience various kinds of functional changes resulting from a decrease in physiological and psychological functions which have an impact on changes in sensory function, neurological, cognitive and musculoskeletal systems. With the neurological changes and musculoskeletal changes that occur in the elderly, this will result in an inability to control balance, resulting in slow movements, increasing the risk of falls, which ultimately disrupts daily activities. This community service activity was carried out through a group approach at the elderly posyandu in Tempuran Village, Bolon, Colomadu Karanganyar using the balance training method with the LSVT BIG method starting from pretest, intervention, posttest. Based on hypothesis testing using the Paired Sample T-Test, a significance value of 0.000 (p<0.005) was obtained, which means that LCVY BIG balance training has an effect on improving the balance of elderly people in carrying out daily activities.

BIODIVERSITAS GASTROPODA DI HUTAN MANGROVE SEGARA ANAKAN CILACAP

Segara Anakan is a lagoon surrounded by swamp forest with a mud substrate. Several biota live in it, one of which is Gastropods. This biota has slow movements and is relatively sedentary. The aim of research on gastropod biodiversity is to describe the diversity and dominance of their species. The research was conducted in July-September 2021. The research method used was a survey with a purposive random sampling technique at three stations taking into account differences in vegetation community structure. Station 1 (St 1) is in the eastern part of Segara Anakan with vegetation that dominates Aegiceras corniculatum; Station 2 (St 2) is in the middle of Segara Anakan with vegetation that dominates Nypa fruticans; Station 3 (St 3) is in the western part of Segara Anakan with vegetation dominating Sonneratia alba. Each station is determined by nine different sampling points once every month. The results showed that the Potamididae and Neritidae families were most commonly found at all stations during the study. The highest abundance is found in St 3, namely 1433 ind/m2, the lowest in St 1, namely 545 ind/m2. The diversity index in the medium category is at St 1 (1.05) and St 3 (1.59), while the low category is at St 2 (0.85). The dominance index in the medium category is at St 2 (0.55), and in the low category at St 1 (0.47) and St 3 (0.28). Factors that influence differences in abundance, diversity and dominance are adaptation, food and environmental conditions in which they live.

Modified Asphalt Using Buton Natural Rock Asphalt

he characteristics of asphalt mostly determine how well asphalt pavements work. High temperatures can cause stress on the asphalt surface layer. At high temperatures, irreversible alteration or bubbling occurs and leads to spalling as it travels. This is due to the slow movement of the asphalt components in the pavement mixture, which resists the strain caused by traffic. This is because the pavement mix's viscous asphalt matrix flow resists stresses brought on by vehicles. As a result, the rheological characteristics of asphalt, which may be altered, have a significant impact on pavement performance. In this study, Pen. 60/70 asphalt was modified by using Buton Natural Rock Asphalt (BNRA). A total of 10 to 25% of fine BNRA passing sieve #200 was added to the asphalt. Four mixtures of asphalt and BNRA were then tested for penetration and softening point. From the Penetration and Softening Point test results, thePenetration Index (PI) was determined. The PI results obtained were 0; 0.2; 0.1; 0.1; and 0.4 for BNRA content of 0, 10, 15, 20, and 25%. The higher the PI value of asphalt, the lower its temperature susceptibility. It can be seen that with the addition of BNRA, the asphalt is more resistant to temperature changes. While it is evident that BNRA affects the resistance of asphalt to temperature changes, it is also evident that its strength.

An investigation into the physical factors that control slow mass movements

The behavior of slow mass movements like soil creep is well known to be governed by soil composition, slope, and cycles in temperature and rainfall. However, their magnitude and importance vary dramatically in often unpredictable ways, with important consequences for creep rate and infrastructure damage prediction. Here, we present long-term (2015–2022) creep measurements for four regions of the UK characterized by intense mass movement activity but different bedrock lithologies. We also obtained co-located temperature and precipitation time series over this period, as well as local measurements of slope and soil thickness and composition. Our goal was to deconvolve the relative importance of each observable on creep behavior. Our results imply that parent lithology governs first-order creep rates indirectly via hillslope repose angles and soil thickness and composition. Rates of ground movement on peat and sandstone soils are dictated by annual fluctuations in precipitation and temperature, respectively. By employing a simple error-minimizing regression routine, we demonstrate how creep rates can be predicted in these settings as a function of climatological observables. Over thinner limestone and thicker clay soils, however, our model fails: in these settings, we suggest that creep behavior is instead dominated by variations in regolith thickness, and slope and clay mineral content, respectively.

Instrumental Monitoring of a Slow-Moving Landslide in Piedmont (Northwest Italy) for the Definition of Rainfall Thresholds.

The prediction and prevention of landslide hazard is a challenging topic involving the assessment and quantitative evaluation of several elements: geological and geomorphological setting, rainfalls, and ground motion. This paper presents the multi-approach investigation of the Nevissano landslide (Asti Province, Piedmont, NW Italy). It shows a continuous and slow movement, alongside few paroxysmal events, the last recorded in 2016. The geological and geomorphological models were defined through a field survey. An inventory of the landslide's movements and rainfall records in the period 2000-2016 was performed, respectively, through archive investigations and the application of "Moving Sum of Daily Rainfall" method, allowing for the definition of rain thresholds for the landslide activation (105 mm and 193 mm, respectively, in 3 and 30 days prior to the event). The displacements over the last 8 years (2016-2023) were monitored through an innovative in-continuum monitoring inclinometric system and Earth Observation (EO) data (i.e., relying on Interferometric Synthetic Aperture Radar, or InSAR data): it gave the opportunity to validate the rainfall thresholds previously defined. This study aims to provide information to public authorities for the appropriate management of the site. Moreover, the proposed workflow could be adopted as a guideline for investigating similar situations.

Lack of T04C9.1, the Homologue of Mammalian APPL2, Leads to Premature Ageing and Shortens Lifespan in Caenorhabditis elegans.

Ageing has been identified as an independent risk factor for various diseases; however, the physiological basis and molecular changes related to ageing are still largely unknown. Here, we show that the level of APPL2, an adaptor protein, is significantly reduced in the major organs of aged mice. Knocking down APPL2 causes premature ageing of human umbilical vein endothelial cells (HUVECs). We find that a lack of T04C9.1, the homologue of mammalian APPL2, leads to premature ageing, slow movements, lipid deposition, decreased resistance to stresses, and shortened lifespan in Caenorhabditis elegans (C. elegans), which are associated with decreased autophagy. Activating autophagy by rapamycin or inhibition of let-363 suppresses the age-related alternations, impaired motility, and shortened lifespan of C. elegans, which are reversed by knocking down autophagy-related genes. Our work provides evidence that APPL2 and its C. elegans homologue T04C9.1 decrease with age and reveals that a lack of T04C9.1 bridges autophagy decline and ageing in C. elegans.

Ni migration on porous yttria-stabilized zirconia and yttria-micropatterned fuel electrodes in solid oxide fuel cells

This study investigates the mechanism of Ni migration and methods for preventing Ni migration by utilizing ceramic obstacles that can block or slow Ni movement during solid oxide fuel cell (SOFC) operation. A patterned thin-Ni model anode on mirror-polished yttria-stabilized zirconia (YSZ) substrate exhibited dynamic movement during operation, as reported previously. In this study, we attempt to elucidate the mechanism of Ni migration that occurs only on the surface of solid-state Ni by blocking or slowing this movement using porous patterns of different materials. Porous micropatterns of 100 % YSZ and 80 wt% yttria (Y2O3) + YSZ composites were fabricated on a YSZ electrolyte, and velocity changes and blocking of Ni were observed. The porous YSZ structure changed the velocity of the Ni. In contrast, no Ni migration occurred in the Y2O3/YSZ composite porous structure, despite migration occurring in the neighboring smooth YSZ area in the same cell. The Ni-migrated areas were separated by the Y2O3/YSZ porous area, indicating that Ni migration was not caused by microscale differences in temperature or supplied gas diffusion, and Ni moved only on the cell surface, not via Ni-containing gases because temperatures and gases cannot form micropatterns.

Navigating the uncommon: challenges in applying evidence-based medicine to rare diseases and the prospects of artificial intelligence solutions.

The study of rare diseases has long been an area of challenge for medical researchers, with agonizingly slow movement towards improved understanding of pathophysiology and treatments compared with more common illnesses. The push towards evidence-based medicine (EBM), which prioritizes certain types of evidence over others, poses a particular issue when mapped onto rare diseases, which may not be feasibly investigated using the methodologies endorsed by EBM, due to a number of constraints. While other trial designs have been suggested to overcome these limitations (with varying success), perhaps the most recent and enthusiastically adopted is the application of artificial intelligence to rare disease data. This paper critically examines the pitfalls of EBM (and its trial design offshoots) as it pertains to rare diseases, exploring the current landscape of AI as a potential solution to these challenges. This discussion is also taken a step further, providing philosophical commentary on the weaknesses and dangers of AI algorithms applied to rare disease research. While not proposing a singular solution, this article does provide a thoughtful reminder that no 'one-size-fits-all' approach exists in the complex world of rare diseases. We must balance cautious optimism with critical evaluation of new research paradigms and technology, while at the same time not neglecting the ever-important aspect of patient values and preferences, which may be challenging to incorporate into computer-driven models.

InSAR stacking to detect active landslides and investigate their relation to rainfalls in the Northern Apennines of Italy

Interferometric stacking is a useful technique to detect active slope deformation over vast mountainous area. Compared to the analysis of single interferograms, the stacking approach improves the signal to noise ratio and deformation signals become clearer. In this work, we used stacked interferograms to detect active slow-moving landslides during the years 2015 to 2019 over a 1200 km2 portion of the Northern Apennines of Italy. C-band Sentinel 1 SAR images were used to create short temporal baseline (6 to 24 days) interferograms which limit decorrelation and maximize the range of measurable displacement rates. Then we operated a further selection of interferograms based on coherence and visual inspection, before stacking over multiple time scales (1 month to years). The products of the analysis are ground displacement maps where the presence of residual noise is inversely proportional to the duration of the stack and the deformation signal is clearly recognized. Results show that only a small fraction of the mapped landslide deposits are experiencing deformation that can be detected by differential interferometry. In particular, we identified 118 InSAR deformation signals corresponding to ongoing gravitational slope deformations over the 9916 landslides mapped in the area. Active movements are mostly located on landslides that have undergone catastrophic reactivation in relatively recent times. Annual interferometric stacks proved better suited to detect active slope movements, while <15 % of our deformation signals can only be detected by inspecting monthly stacks. Active slow-moving landslides show variable displacement rates in monthly stacks. Periods of dormancy alternate to accelerations that may lead to actual catastrophic failures or, more often, determine finite periods of sustained slow movement before the displacement rates drop below the detection limit. We compared the evolutionary trends of the phenomena to the occurrence of rainfall events. For this purpose, we use the probability of landslide occurrence which is associated with a rainfall event based on a territorial alert threshold. Results show that, at increasing landslide occurrence probabilities, an increasing fraction of actively deforming landslides can be detected by InSAR.

Reptiles in danger: Implications of road mortality in wetlands of South America

Abstract Undoubtedly, roads produce negative effects on wildlife, but when they are laid across wetlands effects can be exacerbated. The “hyperfragmentation” and loss of terrestrial and aquatic habitats generated by roads makes it urgent to measure effect on wildlife. Reptiles are highly susceptible to road mortality mainly because of their slow movement, and the use of roads as a substrate for thermoregulation and feeding areas. Here, we analysed reptile road mortality in the floodplain of the Paraná River (Argentina) at three sections: North (NS), Centre (CS), and South (SS). We compared the richness and abundance of reptile roadkill species that use different habitats by means of monthly samplings. We found 464 roadkills encompassing 27 species (1 turtle, 2 lizards, and 24 snakes). Despite a greater richness of terrestrial species, roadkill abundance was always dominated by aquatic species. We detected two hot spots of reptile roadkill where routes cross the Paraná River floodplain and the environment quality was high: one in the NS, located in a protected area with records of two Vulnerable species; and another hot spot in the SS, which recorded roadkills that belonged to almost all inhabiting snake species and presented the highest roadkill abundance. A temporal ‘hot moment’ of reptile roadkill occurrence was detected during autumn in the SS. This study provides a baseline for delineating measures to prevent and mitigate reptile mortality, focusing on specific places, moments, and taxa in roads crossing wetlands in the Paraná River floodplain.

TENETS OF THE SLOW FOOD MOVEMENT AS MOTIVATION FOR TOURISTS TO VISIT RURAL TOURIST HOUSEHOLDS IN SERBIA

Local cuisine is one of the foundations for how Serbian rural communities are presented to tourists. The desire for regional cuisine has recently increased, which has created opportunities for the promotion of regional and, most importantly, traditional production. The changing behaviours of travellers, who are becoming more conscious of the value of authenticity and quality when travelling, offer opportunities for rural areas to thrive while also creating a new horizon for tourism centered on the discovery of traditional cuisine and rural communities. This kind of travel can be compared to slow travel, which was developed in conjunction with the Slow Food movement. The Slow Food movement is a political and cultural movement with the goal of opposing the industrialisation of food production, promoting locally made, high-quality, sustainable food, and making a significant contribution to rural areas. Three guiding principles – good, clean, and fair – define what food should be and form the foundation of this movement. The major objective of this paper is to present the driving elements that have the biggest impact on tourists’ enthusiasm to visit rural tourist houses in Serbia. The research also seeks to determine how much the respondents’ desire to return to Serbia’s rural tourist households is influenced by motivating factors.

Bridging Modalities: A Multimodal Machine Learning Approach for Parkinson’s Disease Diagnosis Using EEG and MRI Data

Parkinson’s disease (PD) is a slowly progressing neurological disorder with symptoms that overlap with those of other conditions, making early detection and accurate diagnosis vital for effective treatment and a patient’s quality of life. Symptoms such as tremors, stiffness, slow movements, and balance issues, along with psychiatric manifestations, are typical of PD. This study introduces a groundbreaking approach to PD diagnosis, utilizing a multimodal machine learning framework that integrates Electroencephalography (EEG) and Magnetic Resonance Imaging (MRI) data. Focusing on the early detection and accurate classification of PD, the proposed research leverages the distinct yet complementary nature of EEG and MRI datasets to enhance diagnostic precision. We employed a robust algorithmic strategy, including LightGBM and machine learning techniques, to analyze the complex patterns inherent in neurological data. The key steps of the proposed research are preprocessing and feature extraction from both EEG and MRI modalities, followed by their fusion using Principal Component Analysis (PCA) for dimensionality reduction. The fused dataset was then analyzed using a LightGBM model and validated through a 10-fold cross-validation process to ensure reliability and stability. The model’s efficacy was further tested on independent datasets, demonstrating its robustness across diverse patient demographics. The obtained results showcased an accuracy of 97.17%, sensitivity of 96.58%, and specificity of 96.82% in PD classification, outperforming traditional multimodal as well as single-modality diagnostic methods. The integration of EEG and MRI data provided a more comprehensive view of the neurophysiological and neuroanatomical changes associated with PD. Additionally, the use of advanced machine learning algorithms allowed for a nuanced analysis, capturing subtle patterns indicative of early PD stages.

Association between the Hopkins Falls grading scale and motor function tests in patients with multiple sclerosis.

One of the main complications of multiple sclerosis (MS) is imbalance and walking problems that can lead to falls. This study investigated the association between a fall measurement scale called the Hopkins Falls Grading Scale (HFGS) and motor function tests in patients with MS. This cross sectional study was conducted using convenience sampling on 85 patients referred to the MS Association of Mashhad, Iran, in 2023. The HFGS examined falls during the past year and divided them into 4 degrees, and the function test included the timed 25 foot walk (T25FW) test and the timed up and go (TUG) test. Kruskal-Wallis test and Spearman's correlation coefficient were used for data analysis. A statistically significant association was obtained between HFGS and functional tests (T25FW and TUG) (for both P < 0.0001). A significant association was observed between the variables of age (P = 0.006), duration of the disease (P = 0.03), the use of mobility devices (P = 0.05), and HFGS. Considering the association between HFGS and motor function tests in MS patients, clinical experts should pay attention to patients who have slower movement and evaluate them in terms of falling status when performing motor function tests.

Driving Factors for Consumers Behaviour to Buy Slow Fashion

The fashion industry plays a significant role in the global economy but is also a major contributor to environmental and ethical issues. Fast fashion has been dominant but has brought about various sustainability challenges and ethical considerations, such as labor exploitation and environmental degradation. In response to these issues, the slow fashion movement has emerged, advocating for ethical and sustainable practices in fashion. The present paper aims to identify driving factors for consumer behavior to buy products of slow fashion, using methods of primary marketing research and evaluating results using advanced statistical methods.

Learning Ground Displacement Signals Directly from InSAR-Wrapped Interferograms.

Monitoring ground displacements identifies potential geohazard risks early before they cause critical damage. Interferometric synthetic aperture radar (InSAR) is one of the techniques that can monitor these displacements with sub-millimeter accuracy. However, using the InSAR technique is challenging due to the need for high expertise, large data volumes, and other complexities. Accordingly, the development of an automated system to indicate ground displacements directly from the wrapped interferograms and coherence maps could be highly advantageous. Here, we compare different machine learning algorithms to evaluate the feasibility of achieving this objective. The inputs for the implemented machine learning models were pixels selected from the filtered-wrapped interferograms of Sentinel-1, using a coherence threshold. The outputs were the same pixels labeled as fast positive, positive, fast negative, negative, and undefined movements. These labels were assigned based on the velocity values of the measurement points located within the pixels. We used the Parallel Small Baseline Subset service of the European Space Agency's GeoHazards Exploitation Platform to create the necessary interferograms, coherence, and deformation velocity maps. Subsequently, we applied a high-pass filter to the wrapped interferograms to separate the displacement signal from the atmospheric errors. We successfully identified the patterns associated with slow and fast movements by discerning the unique distributions within the matrices representing each movement class. The experiments included three case studies (from Italy, Portugal, and the United States), noted for their high sensitivity to landslides. We found that the Cosine K-nearest neighbor model achieved the best test accuracy. It is important to note that the test sets were not merely hidden parts of the training set within the same region but also included adjacent areas. We further improved the performance with pseudo-labeling, an approach aimed at evaluating the generalizability and robustness of the trained model beyond its immediate training environment. The lowest test accuracy achieved by the implemented algorithm was 80.1%. Furthermore, we used ArcGIS Pro 3.3 to compare the ground truth with the predictions to visualize the results better. The comparison aimed to explore indications of displacements affecting the main roads in the studied area.

Pharmacological and neurosurgical management of cerebral palsy and dystonia: Clinical practice guideline update.

Dystonia, typically characterized by slow repetitive involuntary movements, stiff abnormal postures, and hypertonia, is common among individuals with cerebral palsy (CP). Dystonia can interfere with activities and have considerable impact on motor function, pain/comfort, and ease of caregiving. Although pharmacological and neurosurgical approaches are used clinically in individuals with CP and dystonia that is causing interference, evidence to support these options is limited. This clinical practice guideline update comprises 10 evidence-based recommendations on the use of pharmacological and neurosurgical interventions for individuals with CP and dystonia causing interference, developed by an international expert panel following the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach. The recommendations are intended to help inform clinicians in their use of these management options for individuals with CP and dystonia, and to guide a shared decision-making process in selecting a management approach that is aligned with the individual's and the family's values and preferences.

An evaluation of acoustic telemetry as a method to study the movements of Asteroidea (Asterias rubens)

BackgroundAcoustic telemetry is an important tool to study the movement of aquatic animals. However, studies have focussed on particular groups of easily tagged species. The development of effective tagging methods for ecologically important benthic species, such as sea stars, remains a challenge due to autotomy and their remarkable capacity to expel any foreign material. We tested three methods to surgically attach acoustic transmitters to the common sea star Asterias rubens; two methods attached the tag to the aboral side of the central body and the third attached the transmitter to the aboral side of an arm. Laboratory experiments evaluated each method in terms of survivability, tag retention, associated injuries, and changes in feeding behaviour and physical condition.ResultsLaboratory results were highly variable; however, all tagging methods caused significant injury to the epidermis and deeper tissue around the attachment site over periods greater than 4 weeks. Attaching a tag by horizontally piercing the central body (method HPC) had minimal effects in the short-term (2–3 weeks) and this method was used for a pilot tagging study in the field, where 10 sea stars were tagged and placed within an existing acoustic telemetry array. Although, the interpretation of field data was challenging due to the characteristic slow movement of sea stars, movements of a similar magnitude to previous studies were identified during the 2–4 weeks after sea stars were tagged and released. However, this apparent period of tagging success was followed by a reduction in movement that, when viewed in conjunction with laboratory results, potentially indicated a deterioration in the sea stars’ physical condition.ConclusionsWhile acoustic telemetry continues to provide novel insights into the ecology of a wide variety of marine species, species-specific effects of tagging should be evaluated before starting field studies. If the autonomous study of benthic movement is to expand beyond hard-bodied macroinvertebrates current methodological and analytical challenges must be addressed.