Miracle-dz/UniFAR-FTUs huggingface dataset:
VestAid: A Tablet-Based Technology for Objective Exercise Monitoring in Vestibular Rehabilitation

(1) Background: Current vestibular rehabilitation therapy is an exercise-based approach aimed at promoting gaze stability, habituating symptoms, and improving balance and walking in patients with mild traumatic brain injury (mTBI). A major component of these exercises is the adaptation of the vestibulo-ocular reflex (VOR) and habituation training. Due to acute injury, the gain of the VOR is usually reduced, resulting in eye movement velocity that is less than head movement velocity. There is a higher chance for the success of the therapy program if the patient (a) understands the exercise procedure, (b) performs the exercises according to the prescribed regimen, (c) reports pre- and post-exercise symptoms and perceived difficulty, and (d) gets feedback on performance. (2) Methods: The development and laboratory evaluation of VestAid, an innovative, low-cost, tablet-based system that helps patients perform vestibulo-ocular reflex (VORx1) exercises correctly at home without therapist guidance, is presented. VestAid uses the tablet camera to automatically assess patient performance and compliance with exercise parameters. The system provides physical therapists (PTs) with near real-time, objective (head speed and gaze fixation compliance), and subjective (perceived difficulty and pre- and post- exercise symptoms) metrics through a web-based provider portal. The accuracy of the head-angle and eye-gaze compliance metrics was evaluated. The accuracy of estimated head angles calculated via VestAid’s low-complexity algorithms was compared to the state-of-the-art deep-learning method on a public dataset. The accuracy of VestAid’s metric evaluation during the VORx1 exercises was assessed in comparison to the output of an inertial measurement unit (IMU)-based system. (3) Results: There are low mean interpeak time errors (consistently below 0.1 s) across all speeds of the VORx1 exercise, as well as consistently matching numbers of identified peaks. The spatial comparison (after adjusting for the lag measured with the cross-correlation) between the VestAid and IMU-based systems also shows good matching, as shown by the low mean absolute head angle error, in which for all speeds, the mean is less than 10 degrees. (4) Conclusions: The accuracy of the system is sufficient to provide therapists with a good assessment of patient performance. While the VestAid system’s head pose evaluation model may not be perfectly accurate as a result of the occluded facial features when the head moves further towards an extreme in pitch and yaw, the head speed measurements and associated compliance measures are sufficiently accurate for monitoring patients’ VORx1 exercise compliance and general performance.
Cost Effective Solution for Carcass Disposal in India

To dispose of dead animals, specific sites (Hadda Rorri sites) have been earmarked in villages and towns in India. However, there is no organized system for the disposal of carcasses. In the absence of an organized and scientific system of disposal of dead animals, it has become a major environmental hazard. While the skin is removed for its market value, the flesh is allowed to putrefy without any control resulting in highly repellent stench permeating into surrounding atmosphere. The dead animal is flayed for its hide and the remaining part is left behind to putrefy in open. As no enclosure is provided, this attracts vultures and dogs polluting the environment and creating health hazards. A nauseating stinking smell is emanated from these sites which vitiates the whole ambience of the area and even erodes the economic value of the surrounding land. These places are unguarded and stray dogs & predators consume the dead animals with every danger of spread of disease. Different technological options like rendering and composting have been studied and a cost effective environment friendly solution having a payback period of about 2.5 years have been arrived at.
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment

Abstract Model-based control has great potential for use in real robots due to its high sampling efficiency. Nevertheless, dealing with physical contacts and generating accurate motions are inevitable for practical robot control tasks, such as precise manipulation. For a real-time, model-based approach, the difficulty of contact-rich tasks that requires precise movement lies in the fact that a model needs to accurately predict forthcoming contact events within a limited length of time rather than detect them afterward with sensors. Therefore, in this study, we investigate whether and how neural network models can learn a task-related model useful enough for model-based control, that is, a model predicting future states, including contact events. To this end, we propose a structured neural network model predictive control (SNN-MPC) method, whose neural network architecture is designed with explicit inertia matrix representation. To train the proposed network, we develop a two-stage modeling procedure for contact-rich dynamics from a limited number of samples. As a contact-rich task, we take up a trackball manipulation task using a physical 3-DoF finger robot. The results showed that the SNN-MPC outperformed MPC with a conventional fully connected network model on the manipulation task.
Divorced from Citizenship: Palestinian-Christian Women between the Church and the Jewish State

The vast multidisciplinary literature on marital dissolution tends to conceptualize divorce as a personal, individualist act that naturally resides in the domestic sphere. The article challenges this prevailing scholarly perspective by dissecting a substantially underexplored dimension of divorce as a citizenship-certifying act located squarely in the public sphere. Drawing on a pioneering qualitative study among Palestinian Christians in Israel as a case study, we argue that Israel’s divorce law, which locks Catholics into indissoluble marriages, should be recognized as a key state instrument for delineating the contours of citizenship—a boundary-demarcating apparatus between insiders and outsiders who are excluded from full and equal membership. The article provides novel insights into the complex interrelations between divorce, gender, and citizenship, showing how Palestinian-Christian women pay the price of a purportedly sex-neutral, no-exit regime. The article also illuminates a seldom-studied phenomenon we call “divorce conversion”: the act of changing one’s denomination for the sake of marital freedom, which is a hallmark of Palestinian-Christians’ third-rate status in the Jewish state. We conclude that divorce should be reconceptualized as a right to egalitarian female citizenship, serving as a basic precursor to women’s full participation in all spheres of life.
A hierarchical planning approach for a production-distribution system

A production-distribution model involving production and transportation decisions in a central factory and its warehouses is developed. The model is based on the operating system of a multi-national company producing detergents in a central factory from which products are distributed to geographically distant warehouses. The overall system costs are optimized considering factory and warehouse inventory costs and transportation costs. Constraints include production capacity, inventory balance and fleet size integrity. Here, a hierarchical approach is adopted in order to make use of medium range aggregate information, as well as to satisfy weekly fluctuating demand with an optimal fleet size. Thus, a model which involves an aggregation of products, demand, capacity, and time periods is solved. In the next planning phase, the aggregate decisions are disaggregated into refined decisions in terms of time periods, product families, inventory and distribution quantities related to warehouses. Consistency between.
Traffic Modeling and College-Bus Routing Using Entropy Maximization

A method is presented by which traffic flow estimation between known origins and destinations can be evaluated based on a modified entropy model, and by which bus-routing optimization can be performed. The traffic flow analysis is performed by use of an entropy-based formulation of the vehicular movements of students within the domain under examination, while the perceived level of disorder caused by the numerous vehicle-student-trips in the domain under examination is subsequently used for the formulation of a policy and a bus-routing scheme in order to minimize the original entropy in the system. The entropy metric used in the scheduling optimization is related to the probability of student-trips by origin and destination, and an application of the method is illustrated via a case study of an urban university (with facilities in multiple locations) initiating bus service for its students.
Analyzing Co-Creation Process in Cluster Industry Using Agent-Based Simulation, Case Study : Cluster Industry Batik Solo

At the beginning of 2008, the amount of cluster industry batik in Solo start to grew, with so many innovations, big market (co1nsumers), low cost and high progit margin. The condition is so much different compare to the late 1980. Thus, with agent-based simulation for industrial cluster, the aims of the research are to understand what mechanism can describe the formation of cluster industry batik in Solo, and propose strategies to stimulate formation of cluster industry. There are three agents modeled in the simulation; consumer, produce, and supplier. Each agent has their own attributes and decision role. As result, the simulation can describe that industrial cluster is formed as bottom-up interaction between agents with interdependency decision-making. In the long term, only producer agent that agglomerate with other industry can survive and the average wealth of each agent will increase along with the density cluster of certain industrial cluster. Several policies can be implemented to stimulate the industrial cluster formation are creating join-showroom, build waste-water treatment for several industries, renovate the facilities (access) to the cluster industries.
The computation of neutral and dirt currents and power losses

Line segments in distribution systems are inherently unsymmetrical. That is, the spacing distances between phases are not equal and the lines are not transposed; as is typically done on high voltage transmission lines. The nonsymmetry results in unequal self and mutual impedances. Couple this with line currents that are typically unbalanced and a potential for severe voltage unbalances can occur along with additional line power losses. For a four wire grounded wye line, the unbalanced operation leads to currents flowing in the neutral and dirt (ground). This paper will develop a method for the computation of the neutral and dirt currents and the power losses that are a result of these currents.
Cryogenic Testing of High Current By‐Pass Diode Stacks for the Protection of the Superconducting Magnets in the LHC

For the protection of the LHC superconducting magnets, about 2100 specially developed by‐pass diodes were manufactured by DYNEX SEMICONDUCTOR LTD (Lincoln, GB) and about 1300 of these diodes were mounted into diode stacks and submitted to tests at cryogenic temperatures. To date about 800 dipole diode stacks and about 250 quadrupole diode stacks for the protection of the superconducting lattice dipole and lattice quadrupole magnets have been assembled at OCEM (Bologna,Italy) and successfully tested in liquid helium at ENEA (Frascati, Italy). This report gives an overview of the test results obtained so far. After a short description of the test installations and test procedures, a statistical analysis is presented for test data during diode production as well as for the performance of the diode stacks during testing in liquid helium, including failure rates and degradation of the diodes.
Robustness and Adversarial Examples in Natural Language Processing

Recent studies show that many NLP systems are sensitive and vulnerable to a small perturbation of inputs and do not generalize well across different datasets. This lack of robustness derails the use of NLP systems in real-world applications. This tutorial aims at bringing awareness of practical concerns about NLP robustness. It targets NLP researchers and practitioners who are interested in building reliable NLP systems. In particular, we will review recent studies on analyzing the weakness of NLP systems when facing adversarial inputs and data with a distribution shift. We will provide the audience with a holistic view of 1) how to use adversarial examples to examine the weakness of NLP models and facilitate debugging; 2) how to enhance the robustness of existing NLP models and defense against adversarial inputs; and 3) how the consideration of robustness affects the real-world NLP applications used in our daily lives. We will conclude the tutorial by outlining future research directions in this area.
Making Collaboration Work: Key Components of Practice/Research Partnerships

Drawing on our experiences as researchers and community-based providers, this paper outlines several key components of successful practice/research collaboration: forming equal partnerships, bilateral communication, ensuring nonhierarchical collaborations, and appropriate dissemination of outcomes. Many concrete benefits can result from collaborative research projects, including additional services, program development, and training for service agency staff. Building partnerships takes time and a good amount of planning and negotiation prior to writing proposals. However, these collaborations can result in more effective efforts to solve common problems and reach common goals.
Techno-Economic Feasibility of Combine Harvester (Class Denominator) - A Case Study

Techno-economic feasibility of using combine harvester (Class Denominator) was carried out by determining harvesting losses, timeliness of harvesting, field capacity, fuel consumption, noise and dust pollution, frequency of repair/maintenance and operating cost of the machine. The results indicated that combine had an average harvesting losses of about 1.25% of wheat yield. Grain breakage losses (5.7%) were bit higher. The machine was able to harvest 2.5 to 3.0 acres in an hour. The fuel consumption of the combine was found to be 15 L of diesel per acre. As the machine was not equipped with a proper cab, dust and noise pollution posed threat to the operator’s health. The machine needed only two to three persons for its operation and costs about Rs 860/acre to the user. The combine is an efficient, economical, labor and time saving machine but its initial cost is quite high. To promote this high cost technology, it is suggested that the District Governments of present set up should make arrangements at Tehsil Council level to provide combine to the farmers on rental basis.
Gamma Ray Radiation Mutant Rice on Local aged Dwarf

There are two local rice varieties which are highly preferred by consumers due to the good quality of the rice is sticky rice (Ase Lapang) from Pangkep district and red rice (Mandoti) from Enrekang district. The objective of the research is to give local varieties of rice induce mutations Ase Lapang and Mandoti by gamma irradiation to obtain mutants early maturing rice-old local. This research used Completely Randomized Design (CRD) in factorial two factors. The results showed that 200 gray dose of radiation with the potential to generate mutants that are shorter and faster harvesting. But agronomic characters such as the percentage of grain contains the M1 generation showed that a very low percentage (27.47%) are very large percentage of empty grains with either radiation treatment on the Ase Lapang and Mandoti varieties. The implications are expected to obtain mutants that can produce early maturity and high rice production and these varieties are maintained continuity.
Modeling of high current density trench gate MOSFET

This paper presents a semianalytical model developed for the ON state (V/sub G/>V/sub T/) of trench gate MOSFETs. It incorporates a more realistic model for the inversion channel region, taking the effects of doping variation, transverse, and longitudinal electric fields including the surface scattering, into consideration. Accurate modeling of the inversion channel region is of paramount importance, especially in the case of low voltage power devices where the inversion channel resistance is a significant portion of the overall resistance. The carrier velocity saturation at high longitudinal electric fields is also taken into account in the formulation of the model. The proposed model is supported by both numerical simulation results using MEDICI and experimental results, which are in good agreement with the results of the model. This can be a useful tool in the design of optimum devices.
The Impact of Supply Chain Integration Factors on Order Fulfilment in Public Hospitals

This study investigates the critical operational factors influencing supply chain integration (SCI) and their impact on order fulfilment in public hospitals. Based on the literature review and with the help of the practitioners we develop a hypothesised model. The results of empirical study are based on the responses from purchasing and supply personnel in New Zealand public hospitals. A survey research approach was used to collect data and multiple regression analysis was used to test the hypotheses. The key findings of this study suggest that SCI operational factors, such as crossfunctional process within the hospital, collaborative planning, forecasting and replenishment, an organisation’s strategy that includes supply chain integration, classifying inventories according to their importance, an effort to control costs, have positive influence on order fulfilment. We find lack of willingness to share information and inappropriate information systems are key barriers to effective SCI in the public hospitals. In conclusion, the findings of this study have implications for hospitals implementing or in the process of implementing SCI in order to reduce costs, and for reseachers the SCI model will be useful for further studies.
Can Crop Insurance Encourage Farmers to Adopt Environmentally Friendly Agricultural Technology—The Evidence from Shandong Province in China

It is critical to encourage farmers to adopt agriculture technology that is beneficial to the environment in the context of the ongoing emphasis on the ecological growth of agriculture, yet risk and uncertainty diminish the incentive to adopt these technologies. This research examines whether crop insurance might affect and increase willingness to adopt Environmentally Friendly Agricultural Technology (EFAT) from a psychological perspective, utilizing data from 219 questionnaires in Shandong Province. The findings suggest that crop insurance can boost readiness to embrace technology in three ways: motivation, ability, and opportunity; however, the positive effect of motivation on farmers diminishes as capacity increases. Insurance companies must offer products that contain the risk of adopting EFAT as an insurance obligation as soon as feasible to successfully boost willingness to use technologies and collaborate with agricultural technology departments to provide farmers with training as well as disaster avoidance services.
Will the arid and semi-arid regions of Northwest China become warmer and wetter based on CMIP6 models?

Whether there is a transition underway, from a warm-dry climate to a warm-wet climate in Northwest China remains a controversial and scientifically significant issue. Will this trend continue in the future? Another hot issue is whether the climate in Northwest China will continue to be warm and humid over the next few decades. In this paper, eight CMIP6 models were employed to investigate temperature and precipitation changes under five principal Shared Socioeconomic Pathway (SSP) scenarios (from 2015 to 2099) to project the future warming and humidification in Northwest China using the SPEI (standardized precipitation evapotranspiration index) method. The results revealed that (1) the simulated temperature and precipitation of eight CMIP6 models were consistent with that of observed data during 1961–2014, which showed an increase of approximately 28.2 mm, while simulated data revealed an increase of approximately 9.4 mm. The annual precipitation gradually decreased from Eastern Inner Mongolia and the Southern Northwest Mongolia region (>700 mm) to the Central Northwest Mongolia region (<100 mm) from 1961 to 2014; (2) the MME significantly overestimated the temperature and slightly underestimated the precipitation in Northwest Mongolia. The temperature difference between the simulated and observed data was approximately 0.4 °C. The observed data showed an increase of approximately 0.9 °C from 1961 to 2014, whereas the simulated data revealed an increase of approximately 0.7 °C; (3) in the SSP5-8.5 scenario, the percentage of precipitation anomalies at 1.5, 2, 3, and 4 °C were 166.64, 190.58, 226.44, and 274.56%, respectively; thus, alleviating the drought situation while facilitating the warm-dry to warm-wet climate transition; (4) the water balance between rising temperatures and increased evapotranspiration resulting from increased precipitation suggested that not all sites will be wet in the future. There was still a drying trend in some areas, where drought was more severe under the high emissions scenario than the low emissions scenario.
BCOR and BCORL1 mutations drive epigenetic reprogramming and oncogenic signaling by unlinking PRC1.1 from target genes.

Polycomb repressive epigenetic complexes are recurrently dysregulated in cancer. Unlike polycomb repressive complex 2 (PRC2), the role of PRC1 in oncogenesis and therapy resistance is not well defined. Here, we demonstrate that highly recurrent mutations of the PRC1 subunits BCOR and BCORL1 in leukemia disrupt assembly of a non-canonical PRC1.1 complex, thereby selectively unlinking the RING-PCGF enzymatic core from the chromatin targeting auxiliary subcomplex. As a result, BCOR-mutated PRC1.1 is localized to chromatin but lacks repressive activity, leading to epigenetic reprogramming and transcriptional activation at target loci. We define a set of functional targets that drive aberrant oncogenic signaling programs in PRC1.1 mutated cells and primary patient samples. Activation of these PRC1.1 targets in BCOR-mutated cells confers acquired resistance to treatment while sensitizing to targeted kinase inhibition. Our study thus reveals a novel epigenetic mechanism that explains PRC1.1 tumor suppressive activity and identifies a therapeutic strategy in PRC1.1 mutated cancer.