Miracle-dz/UniFAR-FTUs huggingface dataset:
Underfoot pressure distribution in patients after surgical treatment of proximal end of femoral bone

Aim: The aim of this study was to estimate the underfoot pressure distribution in patients after fractures of the proximal end of femoral bone. Material and methods: We examined 22 patients, both sexes, aged 58-76 after an operative treatment of a fracture of the neck of femoral bone (9 patients,) or a pertrochanteric fracture (13 patients) and finishing of the rehabilitation. The examinations were performed av. 2,8 y after surgical treatment. The control group consisted of 40 healthy subjects. We used physical examination, Xray, and underfoot pressure measurements using static and postural pedobarographic tests. The plantar pressure was determined at foot regions distinguished on the ground of classification of Blomgren’s. Results: In all patients we found the reduction of the hip joint movement range (mainly hyperextension, internal rotation), in radiological study the total healing of the fracture, and in 7 cases moderately advanced degenerative changes of the hip joint. Pedobarographic examination revealed that on the operated side in 12 patients was a decreased pressure under T and H foot regions on the operated side, in 6 - a decreased pressure under MT1-MT5 foot regions, in 3 - a decreased pressure under all foot regions and in 1 patient an increased pressure under T and H foot regions. Conclusion: Pedobarography revealed lack of complete return of normal weight-bearing of the plantar surface of the foot av. 2,8 years after surgery because of the femur bone proximal end fracture.
The status of the Oberländer’s Ground-Thrush Zoothera oberlaenderi in Uganda Final Report

For a huge number of rare or threatened bird species, no population estimates are available because they are difficult to detect or live in remote areas. As an example, we show for one of the least studied African birds, the Oberländer’s Ground-Thrush Zoothera oberlaenderi, how a rapid population estimation can be conducted if a short-term bird census is combined with a predictive species–habitat model. The study aims at analysing habitat preferences and clarifying the status of the Oberländer’s Ground-Thrush in Uganda. This was done by conducting intensive field surveys using point counts and mist-netting in Semliki National Park and Bwindi Impenetrable National Park between 9 February and 14 March 2008. While in Semliki the species was not recorded, in Bwindi seven singing Oberländer’s GroundThrushes were heard. For the first time habitat preferences of the species were analysed. The Oberländer’s Ground-Thrush preferred dense forest types especially of Newtonia dominant forests in close distance to rivers within an altitude of 1506 m and 1935 m. We predicted 28 km of suitable habitat containing a minimum number of 27 males out of the 331 km of Bwindi Impenetrable National Park. Successively enlarging the park to increase this unique isolated population is recommended in the long-term. The small Ugandan population solely restricted to Bwindi Impenetrable National Park and the ongoing degradation and deforestation of forests within its potential distributional range suggests the need to reconsider Oberländer’s Ground-Thrushes’ current IUCN Red List category. Oberländer’s Ground-Thrush 2
Canine Parvo Enteritis Infection in Egypt : Isolation , Molecular Characterization and Sequencing

| Regular updating of our knowledge regarding canine parvovirus infection (CPV) diagnosis is crucial to increase the awareness of disease significance and subsequently to improve vaccination programs. This work aimed for isolation, identification, molecular characterization and sequencing of the CPV strain of naturally infected dogs in Egypt. A total of 120 dogs of different ages and breeds suffering from vomiting, bloody diarrhea, dehydration, and ruffled hair were clinically examined. The Rapid Immune Chromatographic Test (IC) and culturing on Vero cell were used to test fecal samples (n=120). The findings revealed that (69 and 48/ 120) samples (57.5 and 40 %) were positive for CPV using IC test and CPV’s specific cytopathic effect on Vero cell respectively. The virus identified by Rapid Slide Agglutination (RAT), Virus Neutralization Test (VNT) and Direct Fluorescent Antibody Technique (FAT). Molecular characterization was performed by using the Hfor/Hrev primers for 3 positive samples by IC alone and 3 positive samples by both IC and cell culturing in addition to 6 negative samples. The positive samples were detected at 630 bp for CPV and 427 bp for CPV-2a. Three molecularly positive samples were genotyped using specific primers for CPV-2a, CPV-2b, and CPV-2c. Current study findings revealed that the three sequenced samples are strongly close to the CPV type 2a. We could conclude that CPV-2a is the current type of CPV circulating in Egyptian dog’s population.
Sustainable Development: Examining the Impacts of Built-Environment and Transportation on Public Health

Urban transportation planning and land-use policies play a pivotal role in every society and are the subject of interest in many academic fields. Creating a tool that measures the benefits and costs associated with the built environment, which includes the surrounding land-use and transportation system, would allow decision makers to choose the best option available to them when deciding on those important issues. In addition to travel time, congestion, safety, energy and environment, public health is an important subject that can be affected by transportation system. Planners are interested to know if transit usage could decrease the risk of heart attack, high blood pressure, or obesity. They also like to know how different the health conditions of people living in urbanized areas are from those living in rural areas, or how pedestrian-friendly environments could decrease the chance of asthma infection. The primary objective of this study is to develop models for different healthrelated variables including General Health, High Blood Pressure, High Blood Cholesterol, Asthma, Obesity, and Heart Attack to investigate the effect of transportation, land-use, and the built environment variables along with demographic and socioeconomic factors on the healthiness of people. The results of the analysis showed that increasing the transit-use and decreasing the auto-use have significant positive impact on all the health variables except for asthma. In addition to the transit-oriented development, making the environment more pedestrian friendly (e.g., smaller block size) could motivate people to be more physically active in their daily routines and have a healthier lifestyle.
TOWARD UNDERSTANDING SYNTAX IN READING COMPREHENSION: REVIEW OF RESOUkCES

The purpose of this review article is to survey some cf the current research in linguistic syntax and. the reading process. It also presents a summary of-recent developments in applied linguistics. Readingcomprehension is viewed As at interactive communication-process where the reader uses his knowledge and cognitive-linguistic, processes, especially his knowledge of.syntax, lo construct meaning from the printed page. Linguistic research on reading is reviewed, illustrating the parallel development of studies in syntacticsemantic theory and research on the reading process. The information is grouped under the following. headings: (1) Modern 7rends in Reading Education TheOry; (2) Evolution of Syntactic and Semantid Theory; and (3) On Aspects of the Reading Process and Applied Linguistics. A bibliography is given for both general linguistics and reading education research until early 1975. (Author/AM).
Very high frequency design and modeling for radar interface: A Review

Design modeling of vey high frequency interface in radar application has been an area of interest in recent past. Developments toward improving the performance of high frequency interface in radar design is been focused. Various works in this approaches were developed where focus were made on developing coding precision and performance improvement in terms of computing overhead and resource utilization. This paper present the past development in this area towards radar designing and interfacing in high frequency applications used for target monitoring. The developed approaches of radar interfacing using various approaches of signal processing and tuning operation is outlined. The past developments, and their possible enhancements were outlined.
Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection

In this paper, we introduce the ‘Reverse Variational Autoencoder" (Reverse-VAE) which is a generative network. On the one hand, visual attributes can be manipulated and combined while generating images. On the other hand, anomalies, meaning deviations from the data space used for training, can be detected. During training the generator network maps samples from stochastic latent vectors to the data space. Meanwhile the encoder network takes these generated images to reconstruct the latent vector. The generator and discriminator are trained adversarially. The discriminator is trained to distinguish between real and generated data. Overall, our model tries to match the joint latent/data-space distribution of the generator and the latent/data-space joint distribution of the encoder by minimizing their Kullback-Leibler divergence. Desired visual attributes of CelebA images are successfully manipulated. The performance of anomaly detection is competitive with state-of-the-art on MNIST.
A System to Filter Unwanted Messages using Summarization and Classification Techniques

: Social Network is one of the most popular interactive medium to share, communicate and distribute information. Social Network is the platform to build social relations among people. Users have the ability to keep in touch with friends by exchanging different types of information or messages. Sometimes people post messages which cause a serious problem like harassing or blackmailing to users. The message content may be impolite. The words like offensive, hate, vulgar etc are available in the message. Those messages are detect as spam using information filtering. The Summarization and Machine learning text classification techniques are used for information filtering. The summary of message generated then classification is applied using List Based classification and Neural text classifier. On the basis of text classification checked that whether the messages is spam or spam free.
Toxigenicity and Antimicrobial Resistance of Bacillus cereus Isolated from Raw and Pasteurized Milk

| Bacillus cereus (B. cereus) is an aerobic spore-forming bacterium that has a great public health hazards due to its high distribution in the environment, especially in dairy products in addition to its production to toxins. A total of 25 each of raw and pasteurized milk samples were examined for the presence of B. cereus. Microscopic examination, biochemical tests followed by detection of virulence genes and the antimicrobial susceptibility patterns of recovered B. cereus isolates were performed. From 37 samples that yielded bacillus like growth, there were 15 positives for B. cereus group. All Gram-positive B. cereus isolates were positive for glucose utilization test but were negative for indole test. The distribution of emetic cereulide gene (ces) among the examined isolates was 66.67% (10 ̸ 15), while the enterotoxigenic non haemolytic gene (nhe) was not detected in any of the tested isolates. B. cereus isolates showed an absolute resistance to penicillin (10 U) (100%), followed by ampicillin (10 mg) (93.33%), cefoxitin (30 mg) and amoxicillin (20 mg) (80% each). The isolates were susceptible to enrofloxacin (5 mg) and erythromycin (15 mg) (100 % each), vancomycin (30 mg) (93.33%) and doxycycline (30 mg) (80%). In conclusion, the presence of toxigenic and resistant B. cereus in raw milk and pasteurized milk samples indicates a potential risk to food safety and, therefore, monitoring of the dairy items is suggested.
Effect of Moringa oleifera (Moringa) Supplementation via Urea

| The objective of the study was to determine the effect of Moringa oleifera supplementation via Urea Molasses Multi-nutrient moringa Block (UM3B) on consumption and digestibility of dry matter and organic matter in the Bali cattle. A total of 16 Bali cattle aged 2-4 years, of same sex ratio, body weight around 200-250kg was used in this study. The cows were allotted to four equal groups that were placed in individual cages rendered to the distribution of treatment groups. The feed was given in the form of field grass and concentrate. The treatment in the first group (P0) was given UMMB (Urea Molasses Multi-nutrient Block) without moringa, while the second (P1), third (P2) and fourth (P3) groups were given UM3B with 5, 10 and 15% of moringa respectively. The consumption of dry matter and organic matter in the Bali cattle was not significantly different (P>0.05) between control (P0) and all treatment groups. Whereas, the percentage of digestibility of organic matter, as well as, percentage of digestibility of dry matter were significantly different (P<0.05) between control (P0) and treatments of P2 or P3.It is concluded that the consumption, as well as the digestibility of dry matter and organic matter were improved by supplementation of moringa and the best results were obtained at 15% inclusion of moringa in UM3B.
Design and Implementation of Inter-operable and Secure Agent Migration Protocol

Mobile agent technology is an active research topic and has found its uses in various diverse areas ranging from simple personal assistance to complex distributed big data systems. Its usage permits offline and autonomous execution as compared to classical distributed systems. The free roaming nature of agents makes it prone to several security threats during its transit state, with an added overhead in its interoperability among different types of platforms. To address these problems, both software and hardware based approaches have been proposed to ensure protection at various transit points. However, these approaches do not ensure interoperability and protection to agents during transit over a channel, simultaneously. In this regard, an agent requires a trustworthy, interoperable, and adaptive protocol for secure migration. In this paper, to answer these research issues, we first analyse security flaws in existing agent protection frameworks. Second, we implemented a novel migration architecture which is: 1) fully inter-operable compliance to the Foundation for Intelligent Physical Agents (FIPA) and 2) trustworthy based on Computing Trusted Platform Module (TPM). The proposed approach is validated by testing on software TPM of IBM, JSR321, and jTPMTools as TPM and Trusted Computing Software Stack (TSS) interfaces, JADE-agent framework and 7Mobility Service (JIPMS). Validation is also performed on systems bearing physical TPM-chips. Moreover, some packages of JIPMS are also modified by embedding our proposed approach into their functions. Our performance results show that our approach merely adds an execution overhead during the binding and unbinding phases
Log-singularities for studying capacities of quantum channels.

A small linear increase from zero in some eigenvalue of a density operator makes the derivative of its von-Neumann entropy logarithmic. We call this logarithmic derivative a $\log$-singularity and use it develop methods for checking non-additivity and positivity of the coherent information $\mathcal{Q}^{(1)}$ of a noisy quantum channel. One concrete application of our method leads to a novel type of non-additivity where a zero quantum capacity qubit amplitude damping channel in parallel with a simple qutrit channel is shown to have larger $\mathcal{Q}^{(1)}$ than the sum of $\mathcal{Q}^{(1)}$'s of the two individual channels. Another application shows that any noisy quantum channel has positive $\mathcal{Q}^{(1)}$ if its output dimension is larger than its complementary output (environment) dimension and this environment dimension equals the rank of some output state obtained from a pure input state. Special cases of this result prove $\mathcal{Q}^{(1)}$ is positive for a variety of channels, including the complement of a qubit channel, and a large family of incomplete erasure channels where the positivity of $\mathcal{Q}^{(1)}$ comes as a surprise.
Fast Cross-domain Data Augmentation through Neural Sentence Editing

Data augmentation promises to alleviate data scarcity. This is most important in cases where the initial data is in short supply. This is, for existing methods, also where augmenting is the most difficult, as learning the full data distribution is impossible. For natural language, sentence editing offers a solution - relying on small but meaningful changes to the original ones. Learning which changes are meaningful also requires large amounts of training data. We thus aim to learn this in a source domain where data is abundant and apply it in a different, target domain, where data is scarce - cross-domain augmentation. We create the Edit-transformer, a Transformer-based sentence editor that is significantly faster than the state of the art and also works cross-domain. We argue that, due to its structure, the Edit-transformer is better suited for cross-domain environments than its edit-based predecessors. We show this performance gap on the Yelp-Wikipedia domain pairs. Finally, we show that due to this cross-domain performance advantage, the Edit-transformer leads to meaningful performance gains in several downstream tasks.
Ultralow effective interfacial tension between miscible molecular fluids

We exploit the deformation of drops spinning in a denser background fluid to investigate the effective interfacial tension (EIT) between miscible molecular fluids. We find that for sufficiently low interfacial tension, spinning drops develop dumbbell shapes, with two large heads connected by a thinner central body. We show that this shape depends not only on the density and viscosity contrast between the drop and background fluids, but also on the fluid molecular structure, and hence on the stresses developing at their interface due to different molecular interaction. We systematically investigate the dynamics of dumbbell-shaped drops of water-glycerol mixtures spinning in a pure glycerol reservoir. By developing a model for the deformation based on the balance of the shear stress opposing the deformation, the imposed normal stress on the drop and an effective interfacial tension, we exploit the time evolution of the drop shape to measure the EIT. Our results show that the EIT in water-glycerol systems is orders of magnitude lower than that reported in previous experimental measurements, and in excellent agreement with values calculated via the phase field model proposed in [Phys. Rev. X 6, 041057, 2016].
A Time Series Approach To Player Churn and Conversion in Videogames

Players of a free-to-play game are divided into three main groups: non-paying active users, paying active users and inactive users. A State Space time series approach is then used to model the daily conversion rates between the different groups, i.e., the probability of transitioning from one group to another. This allows, not only for predictions on how these rates are to evolve, but also for a deeper understanding of the impact that in-game planning and calendar effects have. It is also used in this work for the detection of marketing and promotion campaigns about which no information is available. In particular, two different State Space formulations are considered and compared: an Autoregressive Integrated Moving Average process and an Unobserved Components approach, in both cases with a linear regression to explanatory variables. Both yield very close estimations for covariate parameters, producing forecasts with similar performances for most transition rates. While the Unobserved Components approach is more robust and needs less human intervention in regards to model definition, it produces significantly worse forecasts for non-paying user abandonment probability. More critically, it also fails to detect a plausible marketing and promotion campaign scenario.
What is the optimal depth for deep-unfolding architectures at deployment?

Recently, many iterative algorithms proposed for various applications such as compressed sensing, MIMO Detection, etc. have been unfolded and presented as deep networks; these networks are shown to produce better results than the algorithms in their iterative forms. However, deep networks are highly sensitive to the hyperparameters chosen. Especially for a deep unfolded network, using more layers may lead to redundancy and hence, excessive computation during deployment. In this work, we consider the problem of determining the optimal number of layers required for such unfolded architectures. We propose a method that treats the networks as experts and measures the relative importance of the expertise provided by layers using a variant of the popular Hedge algorithm. Based on the importance of the different layers, we determine the optimal layers required for deployment. We study the effectiveness of this method by applying it to two recent and popular deep-unfolding architectures, namely DetNet and TISTANet.
Merger-inspired rotation laws and the low-T/W instability in neutron stars

Implementing a family of differential rotation laws inspired by binary neutron-star merger remnants, we consider the impact of the rotation profile on the low-T/W instability. We use time evolutions of the linearised dynamical equations, in Newtonian gravity, to study non-axisymmetric oscillations and identify the unstable modes. The presence and evolution of the low-T/W instability is monitored with the canonical energy and angular momentum, while the growth time is extracted from the evolved kinetic energy. The results for the new rotation laws highlight similarities with the commonly considered j-constant law. The instability sets in when an oscillation mode co-rotates with the star (i.e. whenever there is a point where the mode’s pattern speed matches the bulk angular velocity) and grows faster deep inside the co-rotation region. However, the new profiles add features, like an additional co-rotation point to the problem, which affect the onset of instability. The rotation laws influence more drastically the oscillation frequencies of the l = m = 2 f-mode in fast rotating models, but affect the instability growth time at any rotation rate. We also identify models where the low-T/W instability appears to be triggered by inertial modes. We discuss to what extent the inferred qualitative behaviour is likely to be of observational relevance.