Miracle-dz/UniFAR-FTUs huggingface dataset:
Arthroscopic Fixation of Traumatic Tibial Bone Avulsion of Posterior Cruciate Ligament Using Scorpion Suture Passer: A New Technique

Several operative techniques have been described for operative treatment of posterior cruciate ligament (PCL) avulsion injuries. Here we introduce a new arthroscopic suture technique for the treatment of PCL avulsion fracture using Scorpion suture passer. Three standard portals of anteromedial, anterolateral, and posteromedial are established along with the central trans-patellar tendon portal, if necessary. A Scorpion suture passer and No. 2 FiberWire were used to put two sutures at the base of the PCL-bone interface. After reducing the fragment, a tibial target guide for PCL was used to make a tunnel at the center of the fracture site and the fragment, if possible. An Endotack is used to fix the sutures at the anterior border of the tibia. This is a practical technique with a short learning curve and biomechanically stable fixation.
The Calendar Anomalies on Warsaw Stock Exchange

Calendar anomalies are defined as any seasonal tendency that occurs in stock markets on a monthly, daily or intra-daily basis. This paper is an attempt to verify if selected calendar effects are present on the Warsaw Stock Exchange (WSE) for each level of data aggregation and to compare their strength in the case of big cap and small cap listed companies, as well as the main indices. I use daily data from 2014–2019 for stock market indices and randomly chosen companies listed on the WIG20 and the sWIG80 and intraday data from March to June 2019 for the same companies. Later, I employ Markov-switching GARCH models in order to verify seasonal effects of each frequency. The conducted research proved that seasonal anomalies are present on the WSE but they mainly concern small cap companies and indices on which they are listed. On the basis of the obtained results I try to identify triggers of the calendar anomalies on the WSE.
Angular-Domain Massive MIMO Detection: Algorithm, Implementation, and Design Tradeoffs

In massive multiple-input multiple-output (MIMO) systems, the large size of channel state information (CSI) matrix significantly increases the computational complexity of uplink detection and size of required memory to store the channel data. To address these challenges, we propose to perform detection in the angular domain, where the channel information can be presented in a more condensed way. The underlying idea is to exploit the sparsity of massive MIMO channel in the angular domain to reduce the size of CSI matrix by selecting dominant beams. Then, an angular-domain linear detector followed by a non-linear post-processing scheme is proposed to perform detection using the reduced-size CSI. Evaluated using measured massive MIMO channels, our method results in 35%-73% reduction in complexity and required memory compared to traditional detectors while it achieves better performance. Moreover, this paper provides a framework, which trades between performance, complexity, and size of required memory. As a proof of concept, we implement the angular-domain detector in a 28 nm FD-SOI CMOS for a massive MIMO with 128 antennas communicating with up to 16 users. Synthesis result shows that our design attains a throughput of 2240 Mbps with an area of 829 k gates.
A CLASS OF S-STEP NON-LINEAR ITERATION SCHEME BASED ON PROJECTION METHOD FOR GAUSS METHOD

Various iteration schemes are proposed by various authors to solve nonlinear equations arising in the implementation of implicit Runge-Kutta methods. In this paper, a class of s-step non-linear scheme based on projection method is proposed to accelerate the convergence rate of those linear iteration schemes. In this scheme, sequence of numerical solutions is updated after each sub-step is completed. For 2-stage Gauss method, upper bound for the spectral radius of its iteration matrix was obtained in the left half complex plane. This result is extended to 3-stage and 4-stage Gauss methods by transforming the coefficient matrix and the iteration matrix to a block diagonal form. Finally, some numerical experiments are carried out to confirm the obtained theoretical results.
A Study on the Change of Manufacturing Design Process due to the Development of A.I Design and 3D Printing

The fourth industrial revolution brought about changes in various fields. The speed of the fourth industrial revolution will proceed faster than the previous ones. It is a new revolution in which new technologies are integrated. So the convergence of new technologies in the fourth industrial revolution will affect many areas. In particular, new technologies such as artificial intelligence and 3D printing technology are being used in the manufacturing industry. The fourth industrial revolution will change the manufacturing design process in the future. Predicted changes are as follows: First, existing management processes are divided into planning, design and manufacturing processes. The collection and analysis of many data are important in the planning process. This planning phase enabled data collection, processing and management through cloud computing and big data technologies. Based on these plans, artificial intelligence can produce thousands of design results. Next, based on the design plan, products can be produced in 3D printing. As such, the manufacturing process has been very simplified by 3D printing. The study can offer some solutions for social changing problems by predicting the future of manufacturing. And the results of the study can be used as a research base in the manufacturing design sector using artificial intelligence and 3D printing.
Foreign direct investment and pollution havens: evidence from African countries

This study examines the relationship between foreign direct investment (FDI) inflows and carbon dioxide emissions (CE) in order to investigate the validity of the pollution haven hypothesis for 54 African countries, using cointegration approach with dynamic panel data over the period 1960-2018. Based on the panel cointegration analysis, it was concluded that the variables are cointegrated. Moreover, the Dynamic Ordinary Least Square (DOLS) and Fully Modified Ordinary Least Square (FMOLS) results showed that foreign direct investment inflows have a long-run positive relationship with carbon dioxide emissions. Furthermore, according to Granger-Engle causality test results, FDI inflows and carbon dioxide emissions have a positive causal relationship, for both short-run and long-run. Thus, the results of this study validate the pollution haven hypothesis in the African countries. Nevertheless, it is recommended to keep attracting foreign direct investment inflows alongside of implementing mechanisms and instruments for reducing the CO2 emissions under strong environmental policies.
METHOD FOR REAL TIME FACE RECOGNITION APPLICATION IN UNMANNED AERIAL VEHICLES

Newly evolving threats to public safety and security, related to attacks in public spaces, are catching the attention of both law enforcement and the general public. Such threats range from the emotional misbehaviour of sports fans in sports venues to well-planned terrorist attacks. Moreover, tools are needed to assist in the search for wanted persons. Static solutions, such as closed circuit television (CCTV), exist, but there is a need for a highly-portable, on-demand solution. Unmanned aerial vehicles (UAVs) have evolved drastically over the past decade. Developments are observed not only with regards to flight mechanisms and extended flight times but also in the imaging and image stabilization capabilities. Although different methods for facial recognition have existed for some time, dealing with imaging from a moving source to detect the faces in the crowd and compare them to an existing face database is a scientific problem that requires a complex solution. This paper deals with real-time face recognition in the crowd using unmanned aerial vehicles. Face recognition was performed using OpenCV and Dlib libraries.
Selection parameters of a new “coerulea” multiflora hybrid: Cattlianthe aurora’s blue pride

Cattlianthe Aurora’s Blue Pride is a new hybrid with lavender-blue flower, higher floral count than Cattleya Memoria Jack Hayden and larger than Cattlianthe Portia Baronesa. For the first time, a floral trait is being used in a documented scientific approach to help in the selection of superior plants in a population.
Physicochemical composition and FTIR characterization of castor seed oil

Introduction. This paper provides the complete profile of physicochemical properties and fatty acid composition of local castor varieties from Sindh, Pakistan. Initially, physical characteristics of seeds were studied followed by detailed examination of oil. Materials and methods. Oil was extracted through Soxhlet extraction method followed by physico–chemical examination of necessary parameters (iodine value, peroxide value, saponification value, viscosity and moisture). For qualitative analysis of castor oil GCMS and FTIR instruments were used. Results and discussions. Oil content was observed in the range of 44–48%. Moisture and ash content of castor seeds were found to be 4.22–5.16% and 5.66–6.49%, respectively. Compositional analysis by GCMS has shown ricinoleic acid (88.5–93.1%) as a prominent fatty acid in all local varieties. Other fatty acids present were palmitic (0.4– 0.8%), stearic (0.8–1.0%), linoleic (2.8–3.3%), and ecosenoic (0.2–1.5%). Free fatty acid value of all castor oil varieties was found to be in the range of 0.16–0.53%. Other quality parameters such as IV, PV and SV of different castor oil varieties were determined in the range of 79.16– 90.03 gI 2 /100g, 1.62–1.89 meq/Kg, and 188.12–204.76 mgKOH
Iconic Product Advantage for Improving Marketing Performance of Indonesian Small and Medium Enterprises

Purpose: To examine the role of iconic product advantage to improve marketing performance. Design/Methodology/Approach: This study uses primary data obtained from interviews based on a list of questions to 103 respondents of Salted Egg SMEs in Brebes Regency, Central Java Province, Indonesia. Findings: All hypotheses are accepted, market orientation influences iconic product advantage, product innovation influences iconic product advantage, dynamic capability influences iconic product advantage, iconic product advantage influences marketing performance. Practical Implications: There is no research that examines the market orientation of marketing performance that is bridged by the iconic product advantage. This research proves that the iconic product advantage bridges the market orientation with the marketing performance of Brebes Salted Egg SMEs that is supported by product innovation and dynamic capability. Originality/Value: Iconic product advantage is novelty in this study. Iconic product advantage is the superiority of the company by making products that become icons or symbols that serve as a reminder for consumers with the symbols contained in the product.
Quantum chemical elucidation on corrosion inhibition efficiency of Schiff base: DFT investigations supported by weight loss and SEM techniques

The corrosion inhibition of Schiff base, namely 2-((2-hydroxy-5-methoxybenzylidene)amino)pyridine (HMAP), for mild steel (MS) in a 1 M hydrochloric acid environment was investigated by means of weight loss and scanning electron microscopy techniques. Quantum chemical calculation based on density functional theory (DFT) was carried out on HMAP. Results illustrated that HMAP is a superior inhibitor for the corrosion of MS in 1.0M hydrochloric acid environment, and inhibition efficiency is higher than 90.0% at 0.5 g/L HMAP. Inhibition performance increases with regard to concentration increase and inhibition performance decreases when raising temperature. Adsorption of the inhibitor on the MS surface followed Langmuir adsorption isotherm and the value of the free energy of adsorption; ΔGads indicated that the adsorption of HMAP was a physisorption/chemisorption process. The DFT refers to perfect correlation with methodological inhibition performance.
International audit of Virtual Environment for Radiotherapy Training usage

Abstract Introduction The Virtual Environment for Radiotherapy Training (VERT) is a high-fidelity simulation hardware and software resource that replicates the expensive and high-pressure clinical environment of a radiotherapy treatment machine. The simulation allows students to gain confidence with clinical techniques in a safe and unpressured academic environment before clinical placement. The aim of this study was to establish the current and future role of VERT and explore the potential for collaborative resource development and research. Methods An anonymous online survey was made available to all users of the software internationally (n=52). A mixture of fixed and open response questions gathered usage data and user feedback. Results The study had a 90% response rate (n=47). Most participants (78·5%) used the resource 1 day/week or less; around 8,000 hours worldwide. It was clear that most participants used the simulation resource to help student to either gain understanding of concepts and techniques or to gain practice with techniques and practical skills. There was good support for collaborative resource development, deployment and evaluation to help VERT users to fully exploit its range of pedagogical uses. Conclusions This audit demonstrated high levels of engagement and enthusiasm for collaborative resource development and ongoing research among the radiotherapy simulation community. Adoption of an international Academic Community of Practice for collaborative simulation resource deployment and support may be of significant value and is worthy of further discussion and consideration.
Seroepidemiology of pertussis disease in Asia: A literature review

Context: Pertussis is a highly communicable acute respiratory tract infection caused mainly by Bordetella pertussis. Since pertussis is life-threatening to young infants, it remains a growing public health concern in many countries in spite of vaccination coverage. Evidence Acquisition: We performed a selective literature search about the pertussis epidemiology in Asia over the past 15 years to provide a picture of the B. pertussis incidence rate in the area and help design an effective strategy for adolescent and adult vaccination. Results: The overall prevalence of B. pertussis seropositivity among the evaluated people (16,785) in Asia from 2000 to 2015 was 36%. The calculated prevalence rates were 38.4% for Iran, 29% for Japan, 29% for Turkey, 40% for Korea, 8% for China, 59% for Pakistan, 52.4% for Israel, 34% for Taiwan, and 97% for Singapore. The mean age of the total individuals was 27 ± 3 years. A high percentage of seropositivity was found in the warm months (between the early summer and early autumn). Conclusions: Results show that pertussis is endemic in Asia, particularly in adolescents and adults and in warm seasons. This study also shows the importance of laboratory diagnosis for pertussis, booster vaccinations for adolescents, development of a highly efficacious pertussis vaccine, and improving surveillance system.
Character mediation of story generation via protagonist insertion

ABSTRACT The current study set out to examine how the presence or absence of depicted characters in visual narratives influences the degree of character-related content in improvised stories. The experiment consisted of trials of oral storytelling that were prompted by wordless comics. The degree of character content in the storylines was varied from being character-based—showing people engaging in social interactions—to being characterless, for example scenes depicting natural phenomena. An intermediate “character-implied” condition was also investigated, exemplified by the scene of a tornado passing through a town, where no people were depicted but in which their presence was strongly suggested. Linguistic content analysis of 472 stories demonstrated indistinguishable use of third-person pronouns (she/he) between character-implied and character-containing scenarios. An analysis of character presence demonstrated that storytellers inserted protagonists into the character-implied stories as vehicles for the actions taking place. This phenomenon reveals the character-driven nature of story creation.
Kinetics of Cyanide Degradation by Azotobacter vinelandii

Cyanide is extremely toxic to living organisms. It is utilized in industries for gold and silver extraction, pharmaceuticals, plastic processing, electroplating, and agricultural chemistry. Cyanide can persevere for a long time in the soil and its bio-degradation is the best economical practice. A formerly isolated cyanide-degrading bacterium Azotobacter vinelandii exhibited substrate inhibition to degradation rate. Significant degradation inhibition constants were achieved reliably by means of non-linear regression modeling of the degradation rate profile utilizing models for substrate inhibition like Haldane, Teissier-Edward, Monod, Yano and Koga, Luong, Edward (Webb) Luong and Aiba models. Aiba model was selected as the top model established on statistical assessments like root mean square error, adjusted coefficient of determination, bias factor and accuracy factor. The calculated values for the Aiba constants qmax (the maximum specific substrate degradation rate (hâˆ’1), Ks (concentration of substrate at the half maximal degradation rate (mM) and Ki (inhibition constant (mM)) were 0.060 (95% CI, 0.024 to 0.096), 0.302 (95% CI, 0.381 to 0.222) and 0.953 (95% CI, 0.568 to 1.338), respectively. The novel constants gotten from the modeling application can be valuable for advanced secondary modeling implicating the influence of media conditions and some other dynamics on cyanide biodegradation by this bacterium.
Long-term clinical performance of flapless implant surgery compared to the conventional approach with flap elevation: A systematic review and meta-analysis

BACKGROUND The conventional implant approach involves flap elevation, which may result in increased soft tissue and bone loss and postoperative morbidity. The flapless surgical technique, aided by three-dimensional medical imaging equipment, is regarded as a possible alternative to the conventional approach to alleviate the above issues. Several studies have been performed regarding the role of flapless implant surgery. However, the results are inconsistent and there is no robust synthesis of long-term evidence to better inform surgeons regarding which type of surgical technique is more beneficial to the long-term prognosis of patients in need of implant insertion. AIM To compare the long-term clinical performance after flapless implant surgery to that after the conventional approach with flap elevation. METHODS PubMed, EMBASE, Cochrane Central Register of Controlled Trials, and grey literature databases were searched from inception to 23 September 2019. Randomised controlled trials (RCTs) and cohort studies comparing the long-term clinical performance after flapless implant surgery to that after the conventional approach over a follow-up of three years or more were included. Meta-analyses were conducted to estimate the odds ratios (ORs) or mean differences (MDs) and their 95% confidence intervals (CIs) between the long-term implant survival rate, marginal bone loss, and complication rate of the flapless and conventional groups. Subgroup analyses were carried out to account for the possible effects of the guided or free-hand method during flapless surgery. RESULTS Ten articles, including four RCTs and six cohort studies, satisfied the eligibility criteria and nine of them were included in the meta-analysis. There was no significant difference between the long-term implant survival rate [OR = 1.30, 95%CI (0.37, 4.54), P = 0.68], marginal bone loss [MD = 0.01, 95%CI (-0.42, 0.44), P = 0.97], and complication rate [OR = 1.44, 95%CI (0.77, 2.68), P = 0.25] after flapless implant surgery and the conventional approach. Moreover, subgroup analyses revealed that there was no statistically significant difference between the implant survival rate [guided: OR = 1.52, 95%CI (0.19, 12.35), P = 0.70]; free-hand: n = 1, could not be estimated), marginal bone loss [guided: MD = 0.22, 95%CI (-0.14, 0.59), P = 0.23; free-hand: MD = -0.27, 95%CI (-1.10, 0.57), P = 0.53], or complication rate [guided: OR = 1.16, 95%CI (0.52, 2.63), P = 0.71; free-hand: OR = 1.75, 95%CI (0.66, 4.63), P = 0.26] in the flapless and conventional groups either with use of the surgical guide or by the free-hand method. CONCLUSION The flapless surgery and conventional approach had comparable clinical performance over three years or more. The guided or free-hand technique does not significantly affect the long-term outcomes of flapless surgery.
Banking Customer Attitudes toward ATM Service in Nepal

This research aims to examine factors influencing customer attitudes toward ATM service. This research followed the descriptive research design for fact-finding and identifying adequate information about factors influencing customer attitudes towards ATM service in Nepalese commercial banks. This study is based on primary data. For the survey, 150 questionnaires were distributed to ATM user customers. Out of 150, only 121 (80.67%) usable questionnaires were returned. The results show that most of the customers have positive attitudes towards ATM services in terms of responsiveness, convenience, ease of use, and speed. It is evidenced that Nepalese commercial banks have adopted ATMs as the way for providing efficient and effective services to their customers.
ANNALS OF ANIMAL SCIENCE

Department of Epizootiology and Clinic of Infectious Diseases, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, Głęboka 30, 20-612 Lublin, Poland Sub-Department of Preventive Veterinary and Avian Diseases, Institute of Biological Bases of Animal Diseases, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, Głęboka 30, 20-612 Lublin, Poland Faculty of Biology and Animal Breeding, Institute of Animal Nutrition and Bromatology, Department of Animal Nutrition, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin, Poland
Plant‐Inspired Soft Bistable Structures Based on Hygroscopic Electrospun Nanofibers

The tissue composition and microstructures of plants have dynamic morphologies that change according to their environments. Recently, multifunctional responsive materials and smart structures also took inspiration from these plants' features. Dionaea muscipula leaves provide a remarkable example of an optimized structure that, owing to the synergistic integration of bistability, material, and geometrical properties, permits to overcome the performance limits of purely diffusive processes. In this paper, a hygroscopic bistable structure (HBS) inspired by the Venus flytrap leaves is presented, obtained by bonding prestretched poly(dimethylsiloxane) (PDMS) layers prior to depositing electrospun polyethylene oxide (PEO) nanofibers. A hygroresponsive bilayer (HBL) is also obtained by electrospinning of PEO on an unstretched PDMS layer. The hygroscopic material (Young's modulus and hygroscopic expansion) is mechanically characterized so as to predict the response time of a bending HBL in response to a step humidity variation. The HBS response time (≈1 s) is sensibly lower than the one of purely diffusive HBL (≈10 s) thanks to bistability. An illustrative implementation is also presented, exploiting an HBS to trigger the curvature of a PDMS optical focusing system. The developed plant‐inspired soft bistable structure can also be used for sensing (e.g., humidity), energy harvesting, as well as advanced soft robotics applications.