Miracle-dz/UniFAR-FTUs huggingface dataset:
Lumbar canal stenosis in “young” - How does it differ from that in “old” - An analysis of 116 surgically treated cases

Objective: Patients treated for lumbar canal stenosis (LCS) were retrospectively analyzed to evaluate the differences in clinical management in those below (Group A) and those above (Group B) the age of 50 years. All patients were treated with the premise that instability is the nodal point of the pathogenesis of LCS and “only-stabilization” is the surgical treatment. Materials and Methods: During the period June 2014 to June 2020, 116 cases were diagnosed to have LCS and surgically treated by the Goel modification of Camille's transarticular screw fixation technique. Results: Twenty-four patients in Group A and six patients in Group B had a history of “significant” injury to the back at the onset of clinical symptoms. The indices suggested that the intensity of symptoms was relatively more severe in Group A than in Group B. Unilateral leg symptoms were more common in Group A (68%) than in Group B (31.8%). Neurological motor deficits were more common in Group A (28%) than in Group B (12%) patients. Spinal segments surgically treated in Group A ranged from 1 to 4 (average 2 levels) and in Group B it ranged from 2 to 5 (average 3 levels). During the follow-up period that ranged from 6 to 72 months (average 37 months), 100% of patients had varying degrees of relief from symptoms. Conclusions: LCS is confined to a lesser number of spinal segments in the Group A patients. The symptoms were radicular in nature and relatively severe in Group A than in Group B patients.
An alternative way of C1 screwing: Supralaminar C1 lateral mass screws

Study Design: This study involves literature review, technical note, and case series. Objectives: The objectives were to analyze indications and contraindications, advantages, and disadvantages for C1 lateral mass screw (LMS) insertion above or partially above the arch, to descript technical features, and to give examples of the practical application of this technique and investigated its safety. Methods: A literature review was carried out in English and Russian in PubMed, Google Scholar, and eLibrary databases. We selected four patients, treated in our clinic, which was carried out partially supralaminar C1 LMS. Results: Only three descriptions of supralaminar C1 LMS were found in the literature. Four adult patients underwent posterior C1–C2 screw fixation with C1 LMS along the superior edge of the C1 arch at our clinic. Partially supralaminar C1 screws were inserted on one of the sides due to the difficulties of using classical techniques. The main reasons for supralaminar screw fixation were narrow C1 lamina, hypertrophied venous plexus, and intraoperative failures of classic techniques application (broken screw trajectory, profuse venous bleeding from the plexus). The average follow-up time for the patients was 2.7 years, no complications were noted, and all had a satisfactory spinal fusion. Conclusions: The proposed types of C1 LMS above or partially above the C1 arch can be useful alternative method of C1 screwing in selected patients. Indications for the use of the supralaminar C1 LMS method can be narrow C1 posterior arch and pedicle, pronounced C1-C2 venous plexus, some V3 segment anomalies at C1 level, small arthritic inferior part of lateral mass, and intraoperative failures of classic techniques application.
Depth and quality limit for percussion-drilled microholes with depth > 1 mm using ultrashort pulsed laser radiation

Based on the assumption that laser-drilled microholes can be approximated by a cone the maximum depth as a function of the laser fluence can be predicted by a simple analytical model. In this contribution, it will be shown, that the calculated maximum depth agrees well to microholes in stainless steel with drilling depth > 1mm. A Ti: sapphire laser at a wavelength of 800 nm and a pulse duration of 1 ps was used to percussion drill microholes with pulse energies up to 5 mJ and the corresponding maximum drilling depth was determined. Due to the low repetition rate of 1 kHz heat accumulation effects could be excluded. Furthermore, the quality of the microhole exit was investigated as a function of the peak fluence in 1 mm stainless steel, including the formation of side channels and the development of the shape of the microhole exit.
Post-Processing of Multi-Target Trajectories for Traffic Security Analysis

Existing multi-target tracking systems might be non-modifiable, but still provide qualitatively insufficient trajectory outputs. In this case, improvements are achievable by means of post-processing. This thesis intends to qualitatively improve the multi-target tracking performance at the AiM research crossroads, which is operated by the German Aerospace Center. The focus is set on metrics relevant for traffic security analysis, that is ID switches and track fragmentation specifically. A two-phase track stitching method is proposed, which introduces a novel breaking phase for tracklet creation. Beside track stitching mechanisms, common minimum-cost network flow techniques are utilized. In addition to the evaluation regarding trajectories at the research crossroads, standardized MOTChallenge benchmarks are applied, in order to review the method’s general performance. Improvements between 14% and 33% concerning ID switches 40% in terms of track fragmentations are achieved. Post-processing, as applied in the presented setting, is applicable in specific problem scenarios. However, the approach of pipelining a set of specialized, cascaded tracking algorithms is encouraged for in-depth research.
Physiochemical Analysis of Five Varieties of Banana Commonly Consumed in Nigeria

There is direct correlation between consumption of plant foods and occurrence of chronic degenerative diseases, one of such plants is Musa species. In this research work, five varieties of banana commonly consumed in Nigeria were evaluated for proximate, mineral compositions and antioxidant capacities using standard analytical techniques. Results revealed that varieties of banana namely; baby/nino, burro, red, monzano and cavendish were low in crude protein, fat and fibre but, they were significantly high in K, Mg and P. Also, the carbohydrates and dietary energy were of high values. Antioxidant activity (AA) and Total phenolic content (TPC) of the aqueous extracts of the samples ranged from 0.67-4.84 and 1.21-2.55mg/ 100g respectively. This indicates that the five varieties commonly consumed by adults and children as food and food adjuncts can possibly be utilized as sources of vital minerals and possible scavengers of free radicals thereby preventing the symptoms that are associated with degenerative diseases.
LogAssist: Assisting Log Analysis Through Log Summarization

Logs contain valuable information about the runtime behaviors of software systems. Thus, practitioners rely on logs for various tasks such as debugging, system comprehension, and anomaly detection. However, logs are difficult to analyze due to their unstructured nature and large size. In this paper, we propose a novel approach called LogAssist that assists practitioners with log analysis. LogAssist provides an organized and concise view of logs by first grouping logs into event sequences (i.e., workflows), which better illustrate the system runtime execution paths. Then, LogAssist compresses the log events in workflows by hiding consecutive events and applying n-gram modeling to identify common event sequences. We evaluated LogAssist on logs generated by one enterprise and two open source systems. We find that LogAssist can reduce the number of log events that practitioners need to investigate by up to 99 percent. Through a user study with 19 participants, we find that LogAssist can assist practitioners by reducing the time required for log analysis tasks by an average of 40 percent. The participants also rated LogAssist an average of 4.53 out of 5 for improving their experiences of performing log analysis. Finally, we document our experiences and lessons learned from developing and adopting LogAssist in practice. We believe that LogAssist and our reported experiences may lay the basis for future analysis and interactive exploration on logs.
Improved Pattern Recognition Control of Hannes

— Poly-articulated, myoelectric hand prostheses reproduce complex multi-degree of freedom movements to effectively assist amputees in the execution of daily life activities. In this scenario, we tested Linear Discriminant Analysis (LDA) classifier, gold standard, in comparison with Non-Linear Logistic Regression (NLR) to decode opening/closure of the hand and flexion/extension of the wrist from EMG recordings of arm muscles, collected from healthy subjects and amputees. We aimed at minimizing the number of EMG electrodes (6 maximum) by optimizing both classifiers in terms of the F1Score. We then compared the performances of the classifiers. We found that the NLR algorithm achieved the best results with 5 EMG electrodes. The optimized algorithms were then tested on four amputees by controlling the Hannes system.
Real-Time Multiple Human Pose estimation For Animations in Game Engines

- We propose a deep convolutional neural network for 3D human pose and camera estimation from monocular images and live camera that learns from 2D joint annotations. And this Paper proposes to build a multi-source deep model in order to extract non-linear representation from these different aspects of information sources. The collected images cover a wider variety of human activities than previous datasets including various recreational, occupational and house holding activities
Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution

Dynamic graph embedding learns representation vectors for vertices and edges in a graph that evolves over time. We aim to capture and embed the evolution of vertices’ temporal connectivity. Existing work studies the vertices’ dynamic connection changes but neglects the time it takes for edges to evolve, failing to embed temporal linkage information into the evolution of the graph. To capture vertices’ temporal linkage evolution, we model dynamic graphs as a sequence of snapshot graphs, appending the respective timespans of edges (ToE). We co-train a linear regressor to embed ToE while inferring a common latent space for all snapshot graphs by a matrix-factorization-based model to embed vertices’ dynamic connection changes. Vertices’ temporal linkage evolution is captured as their moving trajectories within the common latent representation space. Our embedding algorithm converges quickly with our proposed training methods, which is very time efficient and scalable. Extensive evaluations on several datasets show that our model can achieve significant performance improvements, i.e., 22.98 percent on average across all datasets, over the state-of-the-art baselines in the tasks of vertex classification, static and time-aware link prediction, and ToE prediction.
On the Issue of Modeling the Process of Metabolic Syndrome Regulation

Metabolic syndrome (hereinafter referred to as MS) is the main noncommunicable pandemic that determines the structure of cardiovascular morbidity and mortality. The reversibility of metabolic homeostasis disorders in MS provides a real opportunity to postpone the onset of associated diseases to a later date. The purpose of the study is to develop a conceptual model for regulation the development of MS. As part of the case-control study, 2 groups were formed out of 3000 participants representatives of the Kazakh ethnic group in the third generation aged 20-60 years, selected randomly: the main group (with MS -1833 participants) and the control group (without MS -1167 participants). We compared 85 phenotypic traits and 114 single nucleotide polymorphisms (hereinafter referred to as SNPs) that had an impact on the risk of MS in other populations. The obtained results allowed us to see new opportunities in the management of MS symptoms, identify and evaluate the factors that are most significant for the risk of developing associated diseases prematurely. The regulation model proposed based on the concept of homeostasis maintenance uses early complex intervention at the level of modifiable risk factors. A clear advantage of the model over others is the active participation of the patient in the formation of their own health under the supervision of a consultant, mainly online. Its effectiveness will also be promoted by multi-factorism and dynamic development, providing an increasingly individual solution for a particular patient, as well as the medical and social nature of the concept.
A cognitive framework for surgical task automation

—The use of robots in minimally invasive surgery has improved the quality of standard surgical procedures. So far, only the automation of simple surgical actions, or unreliable black-box models for automation, have been investigated by researchers. In this paper, we propose a novel framework to implement surgical task automation with multiple actions, combining logic-based explainable task planning, adaptive motion planning and semantic interpretation of sensors. The framework is validated on different versions of the standard surgical training ring transfer task.
Evaluating Resource Centric Behavior of Workloads and Performance Analysis in CMPs due to Shared Resources

Multicore systems are achieving new dimensions to meet the pace between processor technology and high processing demands. These chip multiprocessors (CMPs) share some on- chip and off-chip resources to achieve higher performance. With the increase in core integration, the performance of workloads is dependent on the allocation of resources. Though the CMPs elevate performance, but the challenge imposed due to subtle interactions of several applications contending for resources leads to performance degradation by several magnitudes. In this direction the work performs a two-fold evaluation of application programs. The applications running on CMP cores depict distinct behavior towards consumption of shared resources. It characterizes the resource centric nature of SPEC CPU2006 benchmarks based on their resource consumption behavior. Secondly the work aims to evaluate the effect of inter-core interference on the performance of application programs based on the characterization obtained and the potential contention caused on performance due to corunners. Lastly we place significant remarks on the impact on performance due to resource sharing and its implication on resource contention.
Modulating Hydrogen Tunnelling in Ascorbate Proton-Coupled Electron Transfers

Abstract The oxidation of ascorbate with 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO) radical in water and in water-acetonitrile (1:1 v/v) mixed solvent has been demonstrated to be a proton-coupled electron transfer (PCET) process, involving hydrogen tunnelling at room temperature. The observations of significant changes in isotope effect on the Arrhenius pre-factor, AH/AD caused by the presence of tetraethylammonium ions in the reaction clearly suggest changes in tunnelling regime in the reaction. The evidence comprises: a) the spectroscopic and kinetic evidence for the interaction of ascorbate and TEMPO; b) the observation of KIEs kH/kD of 25.4(0.3) in water-acetonitrile (1:1 v/v) without tetraethylammonium ions and 23.3(0.1) in presence of teraethylammonium ions; c) the observation of kH/kD of 21.9(0.2) in water in presence of tetraethylammonium ions; d) the observation of isotope effect on the Arrhenius pre-factor, AH/AD of 0.82(0.10) in the reaction in water-acetonitrile (1:1 v/v) without tetraethylammonium ions; e) the observation of isotope effect on the Arrhenius pre-factor, AH/AD of 0.22(0.03) in the reaction in water-acetonitrile (1:1 v/v) in the presence of tetraethylammonium ions; f) the observation of isotope effect on the Arrhenius pre-factor, AH/AD of 1.34(0.15) in the reaction in water in the presence of tetraethylammonium ions; g) the observation of isotope differences in the enthalpies of activation in water and D2O, in presence of tetraethylammonium ions ΔrH‡ (in H2O) = 33.7(0.4) kJ/mol, Δ rH‡ (in D2O) = 40.7(0.1) kJ/mol; h) the observation of isotope differences in the enthalpies of activation in water-acetonitrile (1:1 v/v) and D2O-acetonitrile (1:1 v/v) in absence of tetraethylammonium ions, Δ rH‡ (in H2O-acetonitrile) = 31.1(0.1) kJ/mol, Δ rH‡ (in D2O-acetonitrile) = 39.5(0.4) kJ/mol; i) the observation of isotope differences in the enthalpies of activation in water-acetonitrile (1:1 v/v) and D2O-acetonitrile (1:1 v/v) in presence of tetraethylammonium ions, Δ rH‡ (in H2O-acetonitrile) = 29.4(0.3) kJ/mol, Δ rH‡ (in D2O-acetonitrile) = 41.0(0.4) kJ/mol. These results were discussed following a framework of Marcus-like tunnelling model, taking into account dynamical features of the systems.
Capital Adequacy Ratio Mediates the Effect of Non-Performing Loan on Returns on Assets in Public Commercial Banks

The purpose of this study is to analyze the effect of non-performing loans on return on assets with a capital adequacy ratio as a mediator. This research is conducted at banking companies listed on the Indonesia Stock Exchange, with a total sample of 24 banks. Collecting data by observing the company's financial statements. The analysis technique used is path analysis. The results show that there is a negative and significant relationship between non-performing loans and capital adequacy ratio. The capital adequacy ratio has a positive and significant relationship with return on assets. Non-performing loan has a negative and significant relationship with return on assets. Based on the research results, it is proven that the Capital Adequacy Ratio mediates the effect of non-performing loans on return on assets.
A spatial exploratory study on COVID-19 disaster - current outbreak in Tamil Nadu, India

Background: The COVID -19 which is also called as Novel Coronavirus Pneumonia (NCP) is a serious disease which got emerged on December 2019 in China. In the context of India, the first case was diagnosed and reported in the state of Kerala during the month of January 2020.The distribution of virus inflated gradually to the different parts of the country. The overall cases recorded in India surged more than 600nos till March 2019. The concept of medical geography is an emerging tool to identify the spatial distribution, pattern, concentration of the virus spread and also it determines health status of the local community. The main aim of the current research work is to figure out the prevailing situation and further to delineate the COVID Vulnerability Zone (CVZ) for the districts of Tamil Nadu. Methods: The researchers in the current study categorized the non-spatial data as COVID cases (Till March 28th, 2020). COVID -19 quarantine follow-up cases, Population data, COVID-19 testing centres and travellers log of the victims. The weighted overlay analysis was performed to identify the COVID Vulnerability Zone (CVZ) with the inclusion of four thematic layers such as COVID-cases, quadrant ine follow up cases population density and COVID -19 testing centres. Additionally, the travellers log was also analysed to determine the source of virus to the state. Results: As a result, the study highlighted the COVID – 19 Vulnerability Zone (CVZ) which was categorized into five vulnerability classes such as Very low, Low, Moderate, High and Very high vulnerability. Conclusion: Additionally the authors concluded the flow of victims with the travel history to trace out the spread of diseases in the state of Tamil Nadu. As a conclusion, the GIS have the potential to identify the spatial distribution, pattern, concentration of the virus spread and also it determines health status of the local community.
Acute Coronary Syndrome During Chemotherapy

The use of modern chemotherapeutic drugs in the treatment of cancer is associated with various side effects. Cardiovascular complications include various heart rhythm disorders, heart failure, arterial and venous thrombosis of various localizations. This review article describes the pathophysiological features of various groups of chemotherapeutic drugs that are actively used in everyday practice, which lead to the occurrence of acute coronary syndrome. It also describes the features of percutaneous coronary interventions in patients undergoing chemotherapy.
Applying 5G and Edge Processing in Smart Manufacturing

This paper presents a concept for next generation collaborative assembly stations for manufacturing industry. It applies a collaborative mobile platform, AI and 5G technologies. Feasibility of the 5G and Edge processing was studied in this paper. Remote operations and data processing were realized with 5G New Radio wireless connection together with edge processing in order to support low latency communication for data transfer.
Developing and validating instrument to assess teachers’ involvement in decision-making

Introduction Participative management only received its momentum in recent years, even though this concept has been around for a long time. The theme was formalised and popularised by behavioural scientists such as Blake and Mouton (Managerial Grid), Mac Gregor (Theory X and Theory Y), and Likert (Four Model System). The central thrust of this theory is that, empowered employees will feel better about their jobs and this will enhance their productivity. Participative management refers to regular and significant employee involvement in organisational decision-making. The type of decision-making approach used in an organisation depends very much on the culture of the organisation and the leadership style of the administrator. In any organisation, these aspects vary according to the decisional situation. At the core of any effort to involve employees in decision making is their expertise and knowledge regarding the decision and the operation of the organisation in general. There are a number of decision-making styles, which vary from being highly participative to being purely autocratic. Lawler(1986) classified decision-making approach as: 1. Top-Down: Top-level individuals in the organisation make the decisions and tell the people at lower levels what the decisions are. 2. Consultative: People at the top level make a tentative decision, announce it to the organisation and ask for opinion. 3. Consultative-Upward Communication: Individuals at the lower level of the organisation are expected to propose ideas and potential decisions to higher levels, but the ultimate decision-making power is always held by the people at the top. 4. Consensus: Decisions are widely discussed in the organisation and considered final only when everyone agrees that it is the right decision. 5. Delegation with Veto: Decisions are given to the lower-level employees to be made but the high-level manager has the power to accept or reject it. 6. Delegation with Policy Philosophy Guidelines: Choices are given to lower-level employees and they make the decision within certain constrains. 7. Pure Delegation: Decisions are left to the lower-level employees and they are free to make them in whatever way they wish. Decision Making According to Mintzberg (1976), as quoted by Gore (1992), decision is defined as a specific commitment to action; and therefore it includes all purposeful behaviour that concludes with a commitment to do something rather than merely talking about it. A decision is defined as the moment of choice and the type of decisions vary, depending on the level. Decisions that are made at the lower level differ from those that are made at top management level. Holt (1987) and Simon (1960) in Gore (1992) grouped decisions mainly into two types: programmed