Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Neurologic Deficits in Combined Facial and Cervical Spine Injuries: A Retrospective Analysis

Study design: A retrospective data analysis of maxillofacial trauma patients with combined cervical spine injuries. Objective: This study is based on investigating the importance of timely diagnosis of patients who suffer with cervical spine injuries along with maxillofacial trauma by estimating the prevalence of neurologic deficits and its relation with etiology. Methods: A database of 4460 patients suffering from maxillofacial injuries and admitted in specialized environment surgery of Government Medical College, Trivandrum, Kerala was taken under consideration. The prevalence and types of neurologic deficits and its relation with etiology were assessed in patients with combined facial and cervical spine injuries. Results: Of 4460 patients, 48 were having cervical spine injury along with facial damage with the prevalence of 0.01%. Neurologic deficits were seen highest with etiology of road traffic accidents followed by falls from height. Most of the accidents occurred in bike riders and helmets were absent. Conclusions: It was concluded that most of the accidents engage bike riders and drivers, due to unethical and unsafe driving. There was no significant correlation found between facial and cervical spine injuries.
PERFORMANCE EVALUATION OF THE THERMOELECTRIC GENERATOR

The energy produced by the thermoelectric generators is clean and it can be used for the niches application. The paper presents the characterization of the commercial Bi2Te3 thermoelectric generator in function of the temperature. The temperature difference between the two parts of the thermoelectric generator is increased using an additional thermoelectric device to heat the hot part, and an aluminum cooler for maintaining the cold part at quasi constant temperature. The I-V and the P-V characteristics of the thermoelectric element are measured at different temperatures. The maxim power, the Seebeck coefficient and the internal electric resistance are calculated. The software to control the devices, to perform the measurements and analyse the data is created.
Modelling and Forecasting Cash Withdrawals in the Bank

The goal of the paper is searching for the optimal forecasting model estimating the amount of cash withdrawn daily by the customers of one of the Polish banks by means of statistical and machine learning methods. The methodology of model creation and assessment criteria are significantly different for the models considered in the paper — i.e., for ARMAX and MLP. However, the comparison of forecasts generated by both models seems to be useful. Variables and attributes reflecting the calendar effects, used in both models, in case of obtained errors of forecasts less than 20%, showed a significant, non-linear influence of this type of predictors on the amount of the daily cash withdrawals at the bank, and hence on the amount of the daily declared cash limit.
Sex and age-specific differences in the performance of harvest indices as proxies of population abundance under selective harvesting

Harvest indices are commonly used as proxies to direct population monitoring but sources of variability, including harvest effort and factors influencing detectability of animals to hunters, are rarely considered. Harvest indices may further be influenced by selective harvesting with regulatory differences in harvest effort across sex and age-classes. To evaluate how sex and age-specific harvests vary as proxies of abundance under selective harvesting, we assessed harvest–abundance relationships (H–A) for moose Alces alces bulls, cows and calves across 58 wildlife management units (WMUs) in Ontario, Canada. Selective harvesting in our study area resulted in more regulated harvest of bulls and cows than calves. We therefore predicted more proportional H–A for calves than bulls and cows, with variability in H–A influenced by harvest effort, in addition to weather and landscape features that may influence moose detectability to hunters. In contrast to our expectation, we found that H–A was more proportional for adult moose than calves. Additionally, we found harvest was proportionally highest for bulls, despite greater harvest effort for calves. A positive effect of harvest effort on harvest as moose abundance increased helped to explain proportional H–A for adult moose. However, the effect of harvest effort on harvest was curvilinear at high effort levels, indicating that harvest will underestimate abundance when effort by hunters is high. Additionally, we found evidence of lower harvest in relation to abundance in WMUs with higher levels of recent disturbance from wildfire burns and clear-cuts. We demonstrate that the relationship between harvest and abundance can vary across selectively harvested sex and age-classes, while variability in H–A can be attributed to spatial variability in harvest effort and the landscape. We caution that sources of variability in H–A, both across and among sex and age-classes, should not be ignored when using harvest indices, especially for selectively harvested species.
Perception of School Management Committees on Community Participation in Education among Primary Schools in Tanzania

This study focused on the perceptions of school committee members on the importance of community participation in education among public primary schools in Rorya District. The study employed a mixed research methods design which included structured questionnaires and focus group discussions to be able to collect both quantitative and qualitative data. The questionnaires were validated by the experts in the field, and the pilot study was conducted in order to establish the acceptable reliability. As a result, a Cronbach’s Alpha of above 0.7 was established in each variable. The study revealed that community participation was not making a meaningful impact in education among public primary schools for Rorya District; the role played by the community was ineffective and therefore, inadequate to provide sustainability in public primary. The challenges community participation faced were mainly due to the factors related to the inadequate capacity of the SMCs to carry out their responsibilities effectively. Therefore, the study concluded that the SMCs have limited knowledge: of the importance of engaging community in education; of the role played by community in education; and the challenges community faced in engaging in education for public primary schools in Rorya District; further the study revealed that there was a positive relationship between the perceptions of the SMCs on the role played by the community and their perceptions on the challenges they faced as pertained to participation in education. The study recommends that the local government should raise awareness among the SMCs and the community for effective engagement in education.
Double-planed deep seismic zone and upper-mantle structure in the northeastern Japan arc

Summary. The ScSp wave converted from the ScS wave at the boundary between the descending lithospheric slab and the mantle above it was clearly observed from a nearby deep earthquake with magnitude 7.7 at some stations of the seismic network of Tohoku University which covers the Tohoku District, the northeastern part of Honshu, Japan. By applying the threedimensional seismic-ray tracing method, the location of this boundary was determined from the difference in arrival time between the ScS and ScSp waves. The result shows that the upper boundary of the descending slab lies exactly on the upper plane of the double-planed deep seismic zone found in the Northeastern Japan Arc. There is an additional evidence that the boundary is located on the upper plane of the double-planed deep seismic zone. The hypocentre distribution of intermediate-depth earthquakes located by the small-scale seismic-array observation is extremely different from that obtained by the relatively largescale seismic network. The discrepancy in the distribution of hypocentres of the same earthquake independently located is well explained by the inclined lithospheric slab model derived from the difference in arrival time between the ScS and ScSp waves. The earthquakes with reverse faulting or with down-dip compressional stresses occur at the upper boundary of the descending slab. Within the descending slab, the earthquakes with down-dip extensional stresses also occur in a very narrow zone from 30 to 40 km below the dipping boundary in the depth range from 50 to about 200 km, and these shocks form the lower plane of the double-planed deep seismic zone.
Subchronic Toxicological Assessment of Dr Iguedo Goko Cleanser® on Lipid Profile and Serum Antioxidant Enzymes in Exposed Wistar Rats

Dr Iguedo Goko Cleanser® is a polyherbal mixture promoted as an effective herbal remedy for numerous diseases. Study aimed to evaluate the toxicity concern of the polyherbal mixture (PHM) on lipid profile and oxidative status in Wistar rats of both gender. Acute toxicity study was conducted using modified method of Lorke. Thirty Wistar rats of bother gender were randomly divided into six groups (5/group) and exposed to the polyherbal mixture for 60 days via oral gavage. Control groups (1 and 4) received 10 mL/kg distilled water, while groups 2-3 and 5-6 received 476.24 and 158.75 mg/kg body weight of Dr Iguedo Goko Cleanser® respectively. On 62nd day, animals were Original Research Article Udom et al.; AJOB, 9(4): 16-25, 2020; Article no.AJOB. 59044 17 sacrificed under diethyl ether anaesthesia; blood samples were collected by cardiac puncture for biochemical analysis. PHM significantly (p < 0.05) increased high density lipoproteins (HDL) levels in male rats as well as high dose female rats relative to control. However, low dose female rats recorded low HDL levels relative to control. Total cholesterol, triglycerides, low density and very low density lipoprotein levels were significantly reduced in all test groups relative to controls. The low dose males (LDM) had reduced serum glutathione peroxidase (GPX) activity; while increased and decreased GPX and glutathione (GSH) activities were respectively recorded for female rats. Male rats had dose-dependent increase in malondialdehyde. The recorded reductions in serum lipids suggest that the polyherbal mixture may have hypolipidemic potentials. While the increased malondialdehyde as well as decreased GPX and GSH indicate lipid peroxidation and oxidative stress inducing potentials of the PHM. Despite the positive modulation on lipid profile, findings suggest utmost caution on chronic use as its oxidative stress inducing potentials is considerable.
Low-Cost Implementation of a Named Entity Recognition System for Voice-Activated Human-Appliance Interfaces in a Smart Home

When we develop voice-activated human-appliance interface systems in smart homes, named entity recognition (NER) is an essential tool for extracting execution targets from natural language commands. Previous studies on NER systems generally include supervised machine-learning methods that require a substantial amount of human-annotated training corpus. In the smart home environment, categories of named entities should be defined according to voice-activated devices (e.g., food names for refrigerators and song titles for music players). The previous machine-learning methods make it difficult to change categories of named entities because a large amount of the training corpus should be newly constructed by hand. To address this problem, we present a semi-supervised NER system to minimize the time-consuming and labor-intensive task of constructing the training corpus. Our system uses distant supervision methods with two kinds of auto-labeling processes: auto-labeling based on heuristic rules for single-class named entity corpus generation and auto-labeling based on a pre-trained single-class NER model for multi-class named entity corpus generation. Then, our system improves NER accuracy by using a bagging-based active learning method. In our experiments that included a generic domain that featured 11 named entity classes and a context-specific domain about baseball that featured 21 named entity classes, our system demonstrated good performances in both domains, with F1-measures of 0.777 and 0.958, respectively. Since our system was built from a relatively small human-annotated training corpus, we believe it is a viable alternative to current NER systems in smart home environments.
Matching Methods for Observational Studies Derived from Large Administrative Databases

We propose new optimal matching techniques for large administrative data sets. In current practice, very large matched samples are constructed by subdividing the population and solving a series of smaller problems, for instance, matching men to men and separately matching women to women. Without simplification of some kind, the time required to optimally match T treated individuals to T controls selected from C≥T potential controls grows much faster than linearly with the number of people to be matched—the required time is of order O{(T+C)3}—so splitting one large problem into many small problems greatly accelerates the computations. This common practice has several disadvantages that we describe. In its place, we propose a single match, using everyone, that accelerates the computations in a different way. In particular, we use an iterative form of Glover’s algorithm for a doubly convex bipartite graph to determine an optimal caliper for the propensity score, radically reducing the number of candidate matches; then we optimally match in a large but much sparser graph. In this graph, a modified form of near-fine balance can be used on a much larger scale, improving its effectiveness. We illustrate the method using data from US Medicaid, matching children receiving surgery at a children’s hospital to similar children receiving surgery at a hospital that mostly treats adults. In the example, we form 38,841 matched pairs from 159,527 potential controls, controlling for 29 covariates plus 463 Principal Surgical Procedures, plus 973 Principal Diagnoses. The method is implemented in an R package bigmatch available from CRAN.
A Cumulative Error Suppression Method for UAV Visual Positioning System based on Historical Visiting Information

The cumulative error is one of the main factors affecting the accuracy of visual positioning system. How to effectively suppress it has become a key issue for indoor navigation of unmanned aerial vehicle(UAV). In this paper, a new cumulative error suppression method based on historical visiting information (CES-HVI for short) is proposed, which uses the historical visiting points in flight as virtual landmarks to correct the positioning result of UAV. Experiment results show that the CES-HVI method can suppress the cumulative error in effect, improve the accuracy of visual positioning without pre-deploying landmarks in advance.
Validation and Application of Two New Core Stability Tests in Professional Football

The purpose of the first study was to validate two newly proposed core stability tests; Prone Plank test (PPT) and Closed Kinetic Chain test (CCT), for evaluating the strength of the body core. Subsequently, these tests were employed in a longitudinal prospective study implementing a core stability training program with a professional Spanish football team. For the validation study, 22 physically active men (Tegner Scale 6–7) performed three trials of the PPT and CCT tests in two different testing sessions separated by one week. In the longitudinal study, 13 male professional football players were equally evaluated (PPT and CCT) before and after the competitive session in which they completed a core training program. Intra-/intersession, and intertester, reliability was analyzed. PPT and CCT demonstrated excellent to good test–retest reliability and acceptable error measurement (ICCs for intratester and intrasession reliability ranged from 0.77 to 0.94 for the PPT, and 0.8–0.9 for the CCT) in all but one of the testing conditions (female tester for CCT test; ICC = 0.38). Significant improvements on core strength were found from pre to post evaluation in both the PPT (p < 0.01) and CCT (p < 0.01) after the implementation of a core training program in professional football players.
An End-to-End Vehicle Trajcetory Prediction Framework

Anticipating the motion of neighboring vehicles is crucial for autonomous driving, especially on congested highways where even slight motion variations can result in catastrophic collisions. An accurate prediction of a future trajectory does not just rely on the previous trajectory, but also, more importantly, a simulation of the complex interactions between other vehicles nearby. Most state-of-the-art networks built to tackle the problem assume readily available past trajectory points, hence lacking a full end-to-end pipeline with direct video-to-output mechanism. In this article, we thus propose a novel end-to-end architecture that takes raw video inputs and outputs future trajectory predictions. It first extracts and tracks the 3D location of the nearby vehicles via multi-head attention-based regression networks as well as non-linear optimization. This provides the past trajectory points which then feeds into the trajectory prediction algorithm consisting of an attention-based LSTM encoder-decoder architecture, which allows it to model the complicated interdependence between the vehicles and make an accurate prediction of the future trajectory points of the surrounding vehicles. The proposed model is evaluated on the large-scale BLVD dataset, and has also been implemented on CARLA. The experimental results demonstrate that our approach outperforms various state-of-the-art models.
Accuracy and Reliability of Data in IoT System for Smart Agriculture

practise namely as smart agriculture or smart farm. Smart agriculture utilised Internet of Things (IoT) technology. IoT term was first coined in 1999 which describe a system where the internet is connected to the physical world via universal sensors [5]. Internet of Things (IoT) is a hot concept newly emerged that will influence how farmers manage and pursue modern farming. IoT provides automation and wireless communication between devices to devices. IoT is made possible due to the decrease of cost of technologies such as cellular network, smartphones, short range wireless communication, and sensors. IoT carry out smart function that are not able to be performed efficiently by human. Abstract: This paper presents the design and development of low-cost Internet of Things (IoT) system for remote monitoring of agriculture ecosystem. The aims of the research are to evaluate the accuracy and reliability of data collected and transmitted with developed IoT system and access from remote location. These data are then compared with the readings of the conventional stand-alone sensors or meters. The system is set in the laboratory and utilises low cost microcontroller, sensors, Wi-Fi network communication, cloud storage, mobile and web application. Microcontroller Arduino Uno ATMega328P is used with ESP8266 Wi-Fi module to enable the device to be connected to the Internet. The sensors used in this system are selected base on the plant’s growth factor. All data collected from the sensors are sent to the Cloud platform such as ThingSpeak and Blynk. Periodical monitoring is carried out on laptop and mobile phone. The results showed that the data taken from the soil moisture, soil temperature, light intensity, surrounding temperature and humidity are accurate and reliable.
Open star clusters in the Milky Way. Comparison of photometric and trigonometric distance scales based on Gaia TGAS data

The global survey of star clusters in the Milky Way (MWSC) is a comprehensive list of 3061 objects that provides, among other parameters, distances to clusters based on isochrone fitting. The Tycho-Gaia Astrometric Solution (TGAS) catalogue, which is a part of Gaia data release 1 (Gaia DR1), delivers accurate trigonometric parallax measurements for more than 2 million stars, including those in star clusters. We compare the open cluster photometric distance scale with the measurements given by the trigonometric parallaxes from TGAS to evaluate the consistency between these values. The average parallaxes of probable cluster members available in TGAS provide the trigonometric distance scale of open clusters, while the photometric scale is given by the distances published in the MWSC. Sixty-four clusters are suited for comparison as they have more than 16 probable members with parallax measurements in TGAS. We computed the average parallaxes of the probable members and compared these to the photometric parallaxes derived within the MWSC. We find a good agreement between the trigonometric TGAS-based and the photometric MWSC-based distance scales of open clusters, which for distances less than 2.3 kpc coincide at a level of about 0.1 mas with no dependence on the distance. If at all, there is a slight systematic offset along the Galactic equator between $30^\circ$ and $160^\circ$ galactic longitude.
Parental Alienation ( Syndrome )-A serious form of psychological child abuse

Induced parental alienation is a specific form of psychological child abuse, which is listed in DSM-5, the current Diagnostic and Statistical Manual of the American Psychiatric Association (APA), under diagnostic code V 995.51 “child psychological abuse”. Untreated induced parental alienation can lead to long-term traumatic psychological and physical effects in the children concerned. This fact is still not given sufficient attention in family court cases. The article gives a condensed overview of parental alienation, summarising its definition, the symptoms and the various levels of severity. It also describes some major alienation techniques and possible psychosomatic and psychiatric effects of induced parental alienation. Finally, attention is drawn to programmes of prevention and intervention now used and evaluated in some countries. The article concludes with two real-life examples from psychiatric practice, and a comprehensive list of international references.
Yeasts and filamentous fungi inhabiting guts of three insect species in Assiut, Egypt

This work aimed to evaluate for the first time in Egypt the biodiversity of mycobiota that inhabit the guts of three insect species collected from Assiut Governorate. 50 adult insect samples (28 worker honey bees, 11 black beetles and 11 red palm weevils) were analyzed. 68 species and three varieties were recovered of which 49 species and 2 varieties were filamentous fungi and 19 species + one variety were yeasts. The number of taxa recovered from red-palm weevils and honey bees was almost equal, while lower number was isolated from beetles. However, a higher number of yeast species was obtained from the gut of red-palm weevils than those obtained from honey bees or black beetles. Some filamentous species were recovered from the guts of the three insect species (Aspergillus niger, A. parasiticus, A. terreus, Cladosporium cladosporioides, Penicillium chrysogenum), while others were reported from one or two insect species. However, none of yeast species was regularly recovered from the three insect guts, but two insect species may share the same yeast species in their guts. Other yeast species were restrictedly isolated from guts of one insect species. Some gut samples were fungi-free. To our knowledge, some of the isolated yeast species are being reported here for the first time from insect guts. On the other hand, ITS sequence data from several strains did not match well with those of known described species, and are probably new