Miracle-dz/UniFAR-FTUs huggingface dataset:
Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview

Advancements in modern medicine have bolstered the usage of home-based rehabilitation services for patients, particularly those recovering from diseases or conditions that necessitate a structured rehabilitation process. Understanding the technological factors that can influence the efficacy of home-based rehabilitation is crucial for optimizing patient outcomes. As technologies continue to evolve rapidly, it is imperative to document the current state of the art and elucidate the key features of the hardware and software employed in these rehabilitation systems. This narrative review aims to provide a summary of the modern technological trends and advancements in home-based shoulder rehabilitation scenarios. It specifically focuses on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an in-depth analysis of existing literature and research, this review presents the state of the art in home-based rehabilitation systems, highlighting their strengths and limitations. Furthermore, this review proposes hypotheses and potential directions for future upgrades and enhancements in these technologies. By exploring the integration of these technologies into home-based rehabilitation, this review aims to shed light on the current landscape and offer insights into the future possibilities for improving patient outcomes and optimizing the effectiveness of home-based rehabilitation programs.
White Matter Microstructural Differences between Essential Tremor and Parkinson Disease, Evaluated Using Advanced Diffusion MRI Biomarkers.

BACKGROUND Essential tremor (ET) is a common slowly-progressive neurologic disorder. It is predominantly characterized by kinetic tremors involving bilateral upper limbs. Although ET shares motor similarities with Parkinson disease (PD), there is no known relationship between ET and PD. METHODS We studied white matter differences between 17 ET and 68 PD patients using standard diffusion tensor imaging and fixel-based analysis (FBA). Diffusion magnetic resonance imaging data were acquired from two scanners (General Electric (GE) and Philips) with different numbers of diffusion directions. Fractional anisotropy maps were generated by the Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB) Software Library (FSL), and FBA was performed using MRtrix3 to obtain fiber density, fiber bundle, and fiber density bundle cross-section. RESULTS Compared with PD, significantly lower values of fiber density, fiber bundle, and fiber density bundle cross-section were found in the corpus callosum and left tapetum of the ET group. Additionally, significantly lower functional anisotropy values were found in the ET compared to the PD group, principally in the corpus callosum, corona radiata, and cingulum. In conclusion, differences in white matter integrity between ET and PD were observed by both FBA-based metrics and diffusion tensor imaging. CONCLUSIONS Advanced diffusion-based metrics may provide a better understanding of the white matter microstructural characteristics in disparate motor-associated diseases with different underlying phenotypes, such as ET and PD.
A state-of-the-art digital factory integrating digital twin for laser additive and subtractive manufacturing processes

Purpose This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations. Design/methodology/approach This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques. Findings A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions. Originality/value Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.
Numerical Simulation of Turbulent Airflow and Micro-Particle Deposition in Upper Human Respiratory System

The nasal cavity and sinuses are a component of the upper respiratory system and study the air passage into the upper component of human airway is consequential to amend or remedy deficiency in human respiration cycle. The nose performs many paramount physiological functions, including heating, humidifying and filtering inspired air, as well as sampling air to smell. Aforetime, numerical modeling of turbulent flow in authentic model of nasal cavity, sinus, pharynx and larynx has infrequently been employed. This research has tried to study details of turbulent airflow and particle deposition through all spaces in three-dimensional authentic model of human head which is obtained from computed tomography scan images of a 26-years old female head, neck and chest without any problem in her respiratory system that air can flow them. The particle size in this study was opted to be in the range of 5-30 μm. The particles are tracked through the continuum fluid discretely utilizing the Lagrangian approach.
Development and validation of BATUTA: a test to evaluate the musical perception of people with hearing impairment

ABSTRACT Purpose To describe the development and validation of a test, called BATUTA, that assesses the musical perception of people with hearing impairment that are hearing aid (HA) users. BATUTA is a computerized test with 35 subtests, divided into the rhythm, pitch, and timbre modules, and the participants must answer whether the sound samples and/or parts of the songs, presented in pairs, are the same or not. Methods The BATUTA creation process consisted of four stages: test development, submission to the expert committee for content validation; pilot application with 51 normal hearing participants and retest to validate reliability. The process was based on several recommendations for the development and validation of musical assessment instruments. A deep investigation of the guidelines related to sound samples used, musical attributes evaluated, testing environment and the most appropriate response method was undertaken to ensure dependability. Results The Content Validity Index (CVI) and expert agreement rates, when analyzed with the committee's recommendations, resulted in corrections and new audio recordings to ensure compliance to the test. The pilot test scores indicated internal consistency and the retest confirmed the reliability of BATUTA. Conclusion The results demonstrated the viability of BATUTA to assess the musical perception of people with hearing impairment that are HA users.
Spatially variable effects of streamflow on water temperature and thermal sensitivity within a salmon‐bearing watershed in interior British Columbia, Canada

Warming temperatures can have negative consequences for aquatic organisms, especially cold‐adapted fishes such as Pacific salmon. The magnitude of warming is related to the thermal sensitivity of streams in salmon‐bearing watersheds (i.e., change in stream temperature for every 1°C increase in air temperature), which can vary based on several factors including streamflow. Management actions to increase streamflow may therefore benefit salmon by decreasing thermal sensitivity. However, the effects of streamflow on thermal sensitivity are often complex, as the temperature of flow inputs can directly increase or decrease temperatures. This study aimed to disentangle the influence of streamflow on thermal sensitivity and stream temperature over 4 years in the Nicola River, a regulated semiarid watershed in south‐central British Columbia, Canada. A statistical modeling approach was used to estimate streamflow effects on stream temperatures and thermal sensitivity (i.e., relationship of regional air temperature to stream temperature) at 12 sites from 2018 to 2021. Streamflow had a variable influence on stream temperatures across the watershed via both direct effects and by modulating thermal sensitivity. At a given site, streamflow was generally negatively associated with summer daily mean stream temperature, but the magnitude of its influence varied among locations and years. The influence of streamflow on thermal sensitivity was also highly variable both spatially and temporally. The analysis suggests that there may be complex relationships between streamflow, stream temperature, and thermal sensitivity, which complicates the efficacy of flow as a lever to mitigate high temperatures in regulated systems.
Provisional in-silico biopharmaceutics classification (BCS) to guide oral drug product development

: The main objective of this work was to investigate in-silico predictions of physicochemical properties, in order to guide oral drug development by provisional biopharmaceutics classification system (BCS). Four in-silico methods were used to estimate LogP: group contribution (CLogP) using two different software programs, atom contribution (ALogP), and element contribution (KLogP). The correlations ( r 2 ) of CLogP, ALogP and KLogP versus measured LogP data were 0.97, 0.82, and 0.71, respectively. The classification of drugs with reported intestinal permeability in humans was correct for 64.3%–72.4% of the 29 drugs on the dataset, and for 81.82%–90.91% of the 22 drugs that are passively absorbed using the different in-silico algorithms. Similar permeability classification was obtained with the various in-silico methods. The in-silico calculations, along with experimental melting points, were then incorporated into a thermodynamic equation for solubility estimations that largely matched the reference solubility values. It was revealed that the effect of melting point on the solubility is minor compared to the partition coefficient, and an average melting point (162.7 ° C) could replace the experimental values, with similar results. The in-silico methods classified 20.76% ( ± 3.07%) as Class 1, 41.51% ( ± 3.32%) as Class 2, 30.49% ( ± 4.47%) as Class 3, and 6.27% ( ± 4.39%) as Class 4. In conclusion, in-silico methods can be used for BCS classification of drugs in early development, from merely their molecular formula and without foreknowledge of their chemical structure, which will allow for the improved selection, engineering, and developability of candidates. These in-silico methods could enhance success rates, reduce costs, and accelerate oral drug products development.
Efficient and Accurate Collision Response for Elastically Deformable Models

Simulating (elastically) deformable models that can collide with each other and with the environment remains a challenging task. The resulting contact problems can be elegantly approached using Lagrange multipliers to represent the unknown magnitude of the response forces. Typical methods construct and solve a Linear Complementarity Problem (LCP) to obtain the response forces. This requires the inverse of the generalized mass matrix, which is generally hard to obtain for deformable-body problems. In this article, we tackle such contact problems by directly solving the Mixed Linear Complementarity Problem (MLCP) and omitting the construction of an LCP matrix. Since a convex quadratic program with linear constraints is equivalent to an MLCP, we propose to use a Conjugate Residual (CR) solver as the backbone of our collision response system. By dynamically updating the set of active constraints, the MLCP with inequality constraints can be solved efficiently. We also propose a simple yet efficient preconditioner that ensures faster convergence. Finally, our approach is faster than existing methods (at the same accuracy), and it allows accurate treatment of friction.
Assesment of Heavy Metals Concentration in Sediments by Potential Ecological Risk Index

1) Ing. , Ph. D. ; Technical University of Kosice, Faculty of Civil Engineering, Institute of Environmental Engineering, Vysokoskolska 4, 042 00 Kosice, Slovak Republic; email: eva.singovszka@tuke.sk 2) Prof. RNDr. ; Technical University of Kosice, Faculty of Civil Engineering, Institute of Environmental Engineering, Vysokoskolska 4, 042 00 Kosice, Slovak Republic; email: magdalena.balintova@tuke.sk 3) Ing. ; Technical University of Kosice, Faculty of Civil Engineering, Institute of Environmental Engineering, Vysokoskolska 4, 042 00 Kosice, Slovak Republic; email: marian.holub@tuke.sk
Effects of Land Cover on Aquatic Communities and Food Webs: A Study of Second Order Streams in Southeastern Michigan

Lotic systems in many regions of the country have experienced habitat degradation and biodiversity loss from impacts brought about from agricultural activity and urbanization. Southeastern Michigan is no exception, as agriculture in the River Raisin watershed and continued expansion of suburban Detroit in the Huron River watershed threaten both systems. To further understand the ecological impact of land use on Midwestern streams I created and compared food webs for nine different second-order tributaries distributed equally across three generalized land use categories including; developed, agricultural, and undeveloped sub-basins of the Huron River and River Raisin. Fish diets (n=410) were analyzed to create the food webs, and weighted quantitative metrics were used to identify differences in fish-invertebrate interactions across streams with differing land use. Although undeveloped streams had higher diversity and less habitat degradation no significant differences were found in weighted quantitative metrics across the three stream categories. Decapoda, terrestrial Hymenoptera, and Chironomidae were the primary prey taxa in all stream categories. Decapods accounted for the majority of biomass consumed and the pattern of their consumption strongly influenced metric scores. Metric values were not significantly related to land use in the sub-basins or local habitat assessment scores. Weighted quantitative metrics may not be applicable in understanding how anthropogenic land use influences aquatic food webs where there is a dominant, tolerant prey taxa. Introduction Urban and agricultural development are common responses to population growth, and with development comes a variety of ecological impacts. Learning how anthropogenic land use affects natural systems may help mitigate and minimize the negative consequences of changing land cover. Altering landscapes affects not only terrestrial ecosystems but aquatic, ones as well (Allan 2004). It is well known that anthropogenic land use can
Mechanisms of Microglia Proliferation in a Rat Model of Facial Nerve Anatomy

Simple Summary It has remained obscure whether microglia proliferate in the diseased or injured brain. This study analyzed the mitotic ability of microglia in vivo in a rat facial nerve axotomy model in which the blood cells do not enter the parenchyma. Microglia were found to proliferate in the axotomized facial nucleus at 5–7 days post-insult. They enhanced the levels of macrophage colony-stimulating factor (M-CSF) as a mitotic factor, its receptor cFms, and cell-cycle-related proteins, such as proliferating cell nuclear antigen (PCNA) and cyclins in vivo. In the M-CSF-dependent proliferation system in vitro, c-Jun N-terminal kinase (JNK) and p38 were shown to function in the induction of PCNA/cyclins and cFms in microglia, respectively. These analyses revealed that some specific signaling cascades are linked to the proliferative reaction of microglia. Microglia in the axotomized facial nucleus were considered to exhibit a mitotic ability to rescue injured motoneurons as neurotrophic cells. Abstract Although microglia exist as a minor glial cell type in the normal state of the brain, they increase in number in response to various disorders and insults. However, it remains unclear whether microglia proliferate in the affected area, and the mechanism of the proliferation has long attracted the attention of researchers. We analyzed microglial mitosis using a facial nerve transection model in which the blood–brain barrier is left unimpaired when the nerves are axotomized. Our results showed that the levels of macrophage colony-stimulating factor (M-CSF), cFms (the receptor for M-CSF), cyclin A/D, and proliferating cell nuclear antigen (PCNA) were increased in microglia in the axotomized facial nucleus (axotFN). In vitro experiments revealed that M-CSF induced cFms, cyclin A/D, and PCNA in microglia, suggesting that microglia proliferate in response to M-CSF in vivo. In addition, M-CSF caused the activation of c-Jun N-terminal kinase (JNK) and p38, and the specific inhibitors of JNK and p38 arrested the microglial mitosis. JNK and p38 were shown to play roles in the induction of cyclins/PCNA and cFms, respectively. cFms was suggested to be induced through a signaling cascade of p38-mitogen- and stress-activated kinase-1 (MSK1)-cAMP-responsive element binding protein (CREB) and/or p38-activating transcription factor 2 (ATF2). Microglia proliferating in the axotFN are anticipated to serve as neuroprotective cells by supplying neurotrophic factors and/or scavenging excite toxins and reactive oxygen radicals.
Late Pleistocene and Early Holocene Obsidian in Alberta and Human Dispersal into North America’s Ice-Free Corridor

ABSTRACT We utilize pXRF to source the oldest obsidian artifacts in Alberta, Canada. The province lacks obsidian outcrops and hosts much of the late Pleistocene Ice-Free Corridor, the northern and southern ends of which are in proximity to obsidian outcrops in Yukon, Alaska, Idaho, and Wyoming. The early presence of these obsidians in Alberta informs models of human dispersion. Results point to an early establishment of relationships in the central Ice-Free Corridor that reached into Oregon, Idaho, and Alaska. Alberta appears to have been entered by people from the south who had ties to the Pacific Northwest and Intermountain West. After biotic viability of a full Corridor, limited evidence suggests that northern people from Beringia may have trickled south and admixed with southern populations in the central Corridor region. Upon deglaciation of access routes through the Rocky Mountains, obsidian from western sources in British Columbia arrived relatively quickly in northern Alberta.
Prognostic Utility of Oculomotor Assessments in Determining Return-to-Learn Time in Acutely Concussed College Student-Athletes: A Pilot Study

Abstract We sought to discover which oculomotor test (King-Devick [KD], near point of convergence [NPC], and accommodative facility [AF]) would best produce a prognostic model for an RTL time frame. An observational cohort design was used to longitudinally track division I and III student-athletes with concussion at a private university in New York State. Measurements included pre-RTL oculomotor testing (NPC, KD, and AF), along with daily text messages and phone calls. Participants were considered returned-to-learn once they had returned to baseline symptoms and had attended 2 days of classes. Our data promote KD score and class attendance as the best-fit prognostic model, with every second accrued on the KD test equating to 5.29 h of RTL time. Further, attending class throughout recovery, versus not, shortened RTL time by a mean 170.50 h, or 7.1 days. Five variables produced a significant attenuating association with concussion symptoms: time post-injury (p = 0.01); caffeine (p = 0.05); alcohol (p = 0.01); music (p = 0.01); and physical activity (p = 0.01). Three variables produced a significant worsening association with concussion symptoms: screen time (p = 0.05); music (p = 0.01); and class attendance (p = 0.01). The findings present a preliminary evidence-based model to prognosticate RTL time. To our knowledge, this is the second longitudinal study, and the first overall, to present objective data for guiding and prognosticating RTL, respectively. Correspondingly, these data should assist clinicians with objectively steering RTL in-clinic.
Research on Operational Safety Risk Assessment Method for Long and Large Highway Tunnels Based on FAHP and SPA

Compared to the construction phase, the assessment of tunnel safety risks during the operational stage has not been thoroughly conducted, and the related research work is relatively lagging. To deepen the research and application of theoretical methods for assessing operational tunnel safety risks, and to improve the level of hazard investigation and prevention in long and large highway tunnels, this paper establishes a tunnel section assessment index system from four perspectives: tunnel condition, traffic characteristics, operational environment, and operational management. A combined qualitative and quantitative approach is employed, and a practical classification standard for the indicators is proposed. Based on the traditional Analytic Hierarchy Process (AHP) and fuzzy analysis theory, a new form of questionnaire survey, known as the expert system analysis method, is introduced to collect expert opinions. A novel approach for determining fuzzy numbers based on expert opinions is proposed. Consequently, a combined model for assessing operational tunnel safety risks in long and large highways is established by integrating the Fuzzy Analytic Hierarchy Process (FAHP) and the Set Pair Analysis (SPA). This model effectively combines subjective weighting with objective evaluation, thereby enhancing the accuracy of operational tunnel safety risk assessment for long and large highways. The safety risks of three long and large tunnels within the G1523 Yongguan Expressway were assessed using the evaluation method proposed in this paper. A comparative analysis was conducted between the results obtained using the proposed Fuzzy Analytic Hierarchy Process (FAHP) and Set Pair Analysis (SPA) method and the traditional Analytic Hierarchy Process (AHP) evaluation. The results indicate that the operational tunnel safety risk assessment method based on FAHP and SPA exhibits greater rationality and accuracy compared to the traditional AHP approach.