Miracle-dz/UniFAR-FTUs huggingface dataset:
Early labial compensation for lingual sounds post partial glossectomy

Speech errors are commonly reported in the literature for postsurgical treatment in lingual carcinomas. The degree of errors relate to the extent of resection and reconstruction. Residual organ compensation is reported in partial glossectomy, while adjacent articulator compensation in total glossectomy. This case report describes an early atypical labial compensation for lingual sounds in a young female postpartial glossectomy and free flap reconstruction. Speech articulation errors were specific to distortion of tongue tip stops, laterals, and liquids. Bilabial flicker like movements were noted during the production of alveolar stops which subsequently developed into a bilabial compensatory articulation. This error indicates that compensation for the affected articulator function may begin at a very early postsurgical stage. The compensation needs to be identified and intervened at an early stage where facilitation must be sought as a modality for speech correction in smaller surgeries to achieve new or near normal speech.
Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma

Introduction: Optimal patient selection plays a vital role in management of renal tumors with the introduction of nephron-sparing approaches and active surveillance. A reliable and accurate diagnostic biomarker will be a useful adjunct to decision-making. We studied the diagnostic accuracy of urinary aquaporin-1 (uAQP-1), an upcoming urinary biomarker, for renal cell carcinoma. Materials and Methods: In this prospective biomarker study, urine samples were obtained preoperatively from 36 patients with an imaged renal mass suggestive of RCC and 24 healthy age-matched controls, chosen from among voluntary kidney donors. uAQP-1 concentrations were estimated with a sensitive and specific enzyme-linked immunosorbent assay (ELISA) and normalized by estimation of urinary creatinine. The Mann–Whitney U-test was used to compare differences between any two groups. A receiver operator characteristic (ROC) curve was plotted to analyze the diagnostic accuracy of uAQP-1 for RCC. Results: The median uAQP-1 concentration among the cases and controls was 8.78 ng/mg creatinine (interquartile range [IQR]: 5.56–12.67) and 9.52 ng/mg creatinine (IQR: 5.55–12.45), respectively. There was no significant difference in uAQP-1 concentrations between the two groups. ROC analysis showed that, for a cutoff value of 8 ng/mg creatinine, the sensitivity and specificity of uAQP-1 as a diagnostic test were 47.2% and 66.7%, respectively, and area under the curve was 0.52 (95% confidence interval: 0.42–0.62). Conclusions: uAQP-1 concentrations did not discriminate between healthy individuals and patients with RCC. The results of this study suggest that uAQP-1 may not be a suitable diagnostic biomarker for RCC in the study population.
Exploring the utility of neuro-monitoring in neurosurgery: The users’ perspective in a single center

Background: The purpose of intraoperative neuro-monitoring (IONM) is to minimize injury to eloquent neural structures and optimize tumor resection. Method: We explored the utility of IONM using a qualitative approach in a single center. Eight experienced users of its use in spinal and cranial surgery in adults and children were the informants. Using a constant comparative method, the findings were collated by thematic analysis. Results: The user perspective is that of caution to minimize adverse effects whilst empowering the need for formal training to enhance its efficacy. The process of IONM needs standardization as practices vary amongst users. Most users expressed limited trust on its current capabilities but hoped for its advancement to achieve higher sensitivity and specificity. None were however prepared to abandon its use. Conclusion: IONM needs optimization. Its utility depends on user vigilance, multi-disciplinary validation, and individual expertise. This study draws out key issues from the user perspective that need to be addressed in order to enhance the utility of IONM.
Use of posterior radial nephrotomy in laparoscopic enucleation of renal hilar tumors

Centrally located completely endophytic renal hilar tumors pose a technical challenge, especially during a minimally invasive surgery. Relation of the tumor to the renal vasculature decides the approach. Tumors placed anterior to the vasculature can be approached in the anterior trans-hilar manner. However, tumors placed posterior to the vasculature need a posterior approach, which is quite a difficult maneuver during transperitoneal laparoscopy. Adequate exposure to access the resection plane is the key principle. We describe a laparoscopic technique for enucleation of such tumors, applying the surgical principle of radial nephrotomy in the intersegmental plane which is usually performed to remove renal stones.
EDIBLE COATING OF SOY PROTEIN OR GELATIN AS A CARRIER OF THYME OIL FOR MAINTAINING QUALITY OF ‘BARHEE’ DATES FRUITS DURING COLD STORAGE

A critical challenge is the preservation of the high quality of Barhi dates for the longest possible period after harvesting and during the marketing process. This study aimed to evaluate the effectiveness of edible coating with soy protein or gelatin at 6, 9 and 12% as a carrier of thyme oil to maintaining fruits quality and extending storage period of Barhi dates during cold storage at 50C with 85-90% relative humidity for 4 weeks compared with control fruit (water only) during two successive seasons 2018 and 2019. Fruit quality attributes were studied such as weight loss (%), rutab percentage (%), firmness (Ib/ inch2), total soluble solids (TSS %), total acidity (TA %), ascorbic acid content (vitamin C, mg\100g F.W.), total carotenoids content (TCC,mg\g F.W.), total flavonoid content (TFC, mg\g F.W.) and pectinase enzyme activity (PE,u/gF.W.) during the two seasons under study. Treated fruits with soy protein (6%) resulted the least fruit weight loss and highest fruit volume, length, diameter and ascorbic acid content. Soy protein at 9% as a Carrier of thyme oil treatment gave the lowest level of pectinase enzyme activity and the highest fruit firmness after 28 days of cold storage at 50C. Meanwhile, the highest TSS% values were noticed by soy protein at 9% or gelatin at 12% treatments. Coated fruits by gelatin at 6% as a carrier of thyme oil showed the minimum total acidity after 28 days of cold storage. likewise, gelatinat 9% treatment obtained the lowest fruit rutab percentages. Finally, soy protein treatment showed a remarkable superiority in preserving the fruit quality of Barhi dates during cold storage in comparing with gelatin treatment.
FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications

—An emerging trend in network security consists in the adoption of programmable switches for performing various security tasks in large-scale, high-speed networks. However, since existing solutions are tailored to speciﬁc tasks, they cannot accommodate a growing variety of ML-based security applications, i.e., security-focused tasks that perform targeted ﬂow classiﬁcation based on packet size or inter-packet frequency distributions with the help of supervised machine learning algorithms. We present FlowLens, a system that leverages programmable switches to efﬁciently support multi-purpose ML-based security applications. FlowLens collects features of packet distributions at line speed and classiﬁes ﬂows directly on the switches, enabling network operators to re-purpose this measurement primitive at run-time to serve a different ﬂow classiﬁcation task. To cope with the resource constraints of programmable switches, FlowLens computes for each ﬂow a memory-efﬁcient representation of relevant features, named “ﬂow marker”. Despite its small size, a ﬂow marker
Dental Implant Treatment Features in Patients with Type 1 Diabetes Mellitus: A Systematic Review

Aim to determine the impact of diabetes mellitus, particularly the type one, on the success of dental implant treatment. Electronic search of publications in the databases such as Google Scholar, PubMed, Embase in the course of a systematic review of the literature was conducted. Included articles contain information about the impact of type 1 diabetes mellitus (T1DM) on the quality of dental implantation, bone tissue and osteointergation of implants. 88 articles were viewed during the review. After analyzing the literature for inclusion criteria, the total number of publications has become 35. According to the reviewed literature, uncontrolled type 1 diabetes can negatively affect the quality of implantation. Constant monitoring of glucose levels in compromised patients can increase the success rate of dental implantation. Review (J Int Dent Med Res 2020; 13(4): 1611-1618)
The spacing pattern of reintroduced tigers in human-dominated Sariska Tiger Reserve

This study aimed to estimate the tiger home range size and obtain information on the movement pattern of reintroduced tigers in the human-dominated Sariska Tiger Reserve. The observed extensive home ranges (100% MCP method) of tigresses ST3 (172.75 km²), ST9 (85.25 km²), and ST10 (80.10 km²) can be attributed to low prey base and very high anthropogenic forces. Similarly, the observed small home range of tigresses ST7, ST2, ST14, and ST8 viz. 16.59 km², 19.34 km², 36.58 km², and 43.04 km² respectively is due to high prey abundance in their respective areas. The high home ranges of subadult ST13 & ST15, respectively, up to 687.58 km² and189.46 km² is due to the initial exploration of their territory. After settling in their respective territories, ST13 in North of STR and ST15 in the south, their mean monthly home ranges respectively decreased to 61.37 km² and 47.67 km². The observed larger mean home ranges (based on 100% MCP method) of ST4 (85.40 km²) and ST6 (79.94 km²) as compared to young ST13 (61.369 km²), ST11 (57.63 km²), and ST15 (47.67 km²) may be due the reason of early occupancy of the respective areas by these old tigers. Non-expansion of the home ranges of any of the remaining four male tigers (ST4, 6, 13, and 15) after the killing of ST11male tiger in STR suggests non-exploratory behavior of already settled male tigers. The observed high average monthly displacement of the home range for sub-adult ST15 can be justified regarding its dispersal from the natal area to the south of STR. Exploring the southern part of the reserve and finally settling in a smaller area with minimum displacement of monthly home ranges can be other justification as well.
Sealing Ability of Injectable Dental Composites, Biodentine and MTA in Repairing Furcal Perforation of Permanent Molar Teeth

Furcal perforation is one of the most common undesired complications during dental treatment. It requires immediate seal to ensure the prognosis of the involved tooth. The aim of this study is to compare the sealing ability of injectable dental composites, namely G-aenial Universal Flo (GAUF) and Paracore with Biodentine and Mineral Trioxide Aggregate (MTA) as furcal perforation materials. This study was conducted on 68 extracted teeth. Upon decoronation of the tooth 4mm above cementoenamel junction, endodontic access cavity was done followed by the creation of furcal perforation in the pulp chamber floor. The teeth were assigned randomly into four experimental and two control groups. These perforations were then repaired with the intended materials. The teeth were submerged in 2% basic fuchsin for 24 hours then sectioned and evaluated for dye leakage. The data were analysed using Median’s Test and Mann Whitney U Test. One specimen for each test group were inspected under scanning electron microscope (SEM). The results showed that the percentage of dye penetrations were significantly lower in Paracore and GAUF compared to Biodentine and MTA groups (p<0.001). Paracore demonstrated less gap at material tooth interface under SEM. Both Paracore and GAUF sealed furcal perforation better than Biodentine and MTA. Clinical article (J Int Dent Med Res 2020; 13(4): 1428-1434)
Architecture and implementation of a Text Mining application for financial documents for Early Warning Systems

- Early warning systems are typically used by Banks and other financial institutions to provide advanced alerting and prediction of credit risk, to prevent borrower default, based on multiple data sources within and outside banks. The data used by analysis can be both in structured or unstructured format. We provide the architecture and implementation of a Text Mining application that can detect adverse credit risk signals in unstructured documents like Annual Reports or Stock Audit Reports and other financial documents. This solution has been deployed at multiple public sector banks in India. Also, given the high cost or proprietary software, and as per the Banks consent, the solution is based out of open and extensible free software. The application is modular and is also able to process these documents in parallel. It is also able to scale horizontally and vertically to handle big data workloads. The application has provided a reasonable accuracy in detecting adverse signals and also provides an extensible interface to constantly evolve in the future. This paper is useful to architects and designers of text mining applications who face similar concerns in designing their systems.
Nhận dạng 26 bậc tự do của bàn tay sử dụng phương pháp mô hình với ảnh màu – độ sâu

Tóm tắt— Trong báo cáo này, chúng tôi trình bày hướng tiếp cận mô hình để nhận dạng đầy đủ 26 bậc tự do của bàn tay. Thông tin vào bao gồm ảnh quan sát màu – độ sâu (RGB-D) thu được từ cảm biến ảnh Kinect và ảnh mô hình 3 chiều của bàn tay xây dựng từ cấu trúc giải phẫu học và ma trận đồ họa. Một hàm mục tiêu sau đó được thiết lập sao cho hàm đạt giá trị cực tiểu khi ảnh mô hình và ảnh quan sát là trùng nhau. Để giải bài toán tối ưu 26 chiều này, giải thuật tối ưu bầy đàn (PSO) được sử dụng với một số cải tiến. Đồng thời, những tác vụ đòi hỏi tính toán lớn được chúng tôi đưa vào khối xử lý đồ họa GPU để thực hiện tính toán song song. Kết quả mô phỏng và thực nghiệm cho thấy hệ thống có thể nhận dạng được 26 bậc tự do của bàn tay với tốc độ xử lý 0,8 giây/hình. Giải thuật kém nhạy với nhiễu môi trường. Phần cứng yêu cầu đơn giản với một camera.
Arabic Language Teachers’ Perceptions of Learners’ Motivation in South Korean Universities

It is crucial for second language (L2) teachers to understand L2 learners’ motivation in order to meet learners’ learning needs and improve their performance. This study investigated Arabic language teachers’ perceptions of their students’ L2 learning motivation change patterns and sociocultural factors that affect motivation by conducting interviews with seven teachers. Also, five graduates and six students in Arabic language departments were recruited as interview participants for the purpose of data triangulation. The analysis showed that Arabic teachers recognize job expectations, parents or teachers’ advice, cultural interest, and desire to go to college as major motivating factors for their students to learn Arabic. All the teachers believed that the motives for Arabic learning went through some remarkable changes after the September 11, 2001 attacks, contributing to increasing the employment expectations of learners. In particular, this study identified media, Confucian culture, and academic elitism as sociocultural factors influencing motivation to learn the Arabic language, which is categorized as a Less Commonly Taught Language in South Korea.
A Review on Eco-Restoration of Rivers with Special Focus on Industrial Wastewater Treatment

Rivers are the lifeline of an ecosystem, since every member of the ecosystem depends directly or indirectly upon them for their sustenance. Changes in the riparian conditions would strongly impact the ecosystem-to-organism interactions and inter-organism interactions. Due to lack of regulations and widespread use of technology for industrial wastewater treatment, most of the industrial discharge ends up in the river. This leads to increased toxicity and river pollution and can be remedied only through restoring the ecological conditions of the river. Eco-restoration of rivers is meaningless without addressing the reason behind river pollution hence feasible industrial wastewater treatment methods are discussed in this study, with emphasis on their practicality and effectiveness.
The risk of racial bias while tracking influenza-related content on social media using machine learning

OBJECTIVE Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore the biases of different machine learning methods for the specific task of detecting influenza-related content. We compare the performance of each model on tweets written in Standard American English (SAE) vs African American English (AAE). MATERIALS AND METHODS Two influenza-related datasets are used to train 3 text classification models (support vector machine, convolutional neural network, bidirectional long short-term memory) with different feature sets. The datasets match real-world scenarios in which there is a large imbalance between SAE and AAE examples. The number of AAE examples for each class ranges from 2% to 5% in both datasets. We also evaluate each model's performance using a balanced dataset via undersampling. RESULTS We find that all of the tested machine learning methods are biased on both datasets. The difference in false positive rates between SAE and AAE examples ranges from 0.01 to 0.35. The difference in the false negative rates ranges from 0.01 to 0.23. We also find that the neural network methods generally has more unfair results than the linear support vector machine on the chosen datasets. CONCLUSIONS The models that result in the most unfair predictions may vary from dataset to dataset. Practitioners should be aware of the potential harms related to applying machine learning to health-related social media data. At a minimum, we recommend evaluating fairness along with traditional evaluation metrics.
ApproxTuner: a compiler and runtime system for adaptive approximations

Manually optimizing the tradeoffs between accuracy, performance and energy for resource-intensive applications with flexible accuracy or precision requirements is extremely difficult. We present ApproxTuner, an automatic framework for accuracy-aware optimization of tensor-based applications while requiring only high-level end-to-end quality specifications. ApproxTuner implements and manages approximations in algorithms, system software, and hardware. The key contribution in ApproxTuner is a novel three-phase approach to approximation-tuning that consists of development-time, install-time, and run-time phases. Our approach decouples tuning of hardware-independent and hardware-specific approximations, thus providing retargetability across devices. To enable efficient autotuning of approximation choices, we present a novel accuracy-aware tuning technique called predictive approximation-tuning, which significantly speeds up autotuning by analytically predicting the accuracy impacts of approximations. We evaluate ApproxTuner across 10 convolutional neural networks (CNNs) and a combined CNN and image processing benchmark. For the evaluated CNNs, using only hardware-independent approximation choices we achieve a mean speedup of 2.1x (max 2.7x) on a GPU, and 1.3x mean speedup (max 1.9x) on the CPU, while staying within 1 percentage point of inference accuracy loss. For two different accuracy-prediction models, ApproxTuner speeds up tuning by 12.8x and 20.4x compared to conventional empirical tuning while achieving comparable benefits.
Para‐hydrogen enrichment and hyperpolarization

This article begins with general considerations about enrichment of hydro- gen gas into its para isomer (corresponding to nuclear spins in the singlet state); this is a necessary condition to obtain hyperpolarization from transfer of the relevant population excess. This transfer is generally mediated by a hydrogenation reaction such that the two protons become nonequivalent. The energy level populations of this new spin system can be calculated unambiguously using a density matrix formalism. This formalism is reviewed, and the authors propose a simple method that leads to the spin state after the hydroge- nation reaction and the insertion of the sample in the NMR magnet. The effect of radio- frequency pulses is also considered. © 2006 Wiley Periodicals, Inc. Concepts Magn Reson Part A 28A: 321-330, 2006
Influence of nonlinear production on the global solvability of an attraction‐repulsion chemotaxis system

This paper is dedicated to the attraction‐repulsion chemotaxis‐system ⋄$\Diamond$ ut=Δu−χ∇·(u∇v)+ξ∇·(u∇w)inΩ×(0,Tmax),0=Δv+f(u)−βvinΩ×(0,Tmax),0=Δw+g(u)−δwinΩ×(0,Tmax),\begin{equation} \hspace*{65pt}\left\{ \def\eqcellsep{&}\begin{array}{ll} u_{ t}=\Delta u -\chi \nabla \cdot (u\nabla v)+\xi \nabla \cdot (u\nabla w) & \text{in }\Omega \times (0,T_{\mathrm{max}}), \\ 0=\Delta v+f(u)-\beta v & \text{in } \Omega \times (0,T_{\mathrm{max}}), \\ 0=\Delta w+g(u)-\delta w & \text{in } \Omega \times (0,T_{\mathrm{max}}), \end{array} \right. \end{equation}defined in Ω, a smooth and bounded domain of Rn$\mathbb {R}^n$ , with n≥2$n\ge 2$ . Moreover, β,δ,χ,ξ>0$\beta ,\delta ,\chi ,\xi >0$ and f,g$f, g$ are suitably regular functions generalizing, for u≥0$u\ge 0$ and α, γ>0$\gamma >0$ the prototypes f(u)=αus$f(u)=\alpha u^s$ , s>0$s>0$ , and g(u)=γur$g(u)=\gamma u^r$ , r≥1$r\ge 1$ . We focus our analysis on the value Tmax∈(0,∞]$T_{\mathrm{max}}\in (0,\infty ]$ , establishing the temporal interval of existence of solutions (u,v,w)$(u,v,w)$ to problem ( ⋄$\Diamond$ ). When zero‐flux boundary conditions are fixed, we prove the following results, all excluding chemotactic collapse scenarios under certain correlations between the attraction and repulsive effects describing the model. To be precise, for every α,β,γ,δ,χ>0$\alpha ,\beta ,\gamma ,\delta ,\chi >0$ , and r>s≥1$r>s\ge 1$ (resp. s>r≥1$s>r\ge 1$ ), there exists ξ∗>0$\xi ^*>0$ (resp. ξ∗>0$\xi _*>0$ ) such that if ξ>ξ∗$\xi >\xi ^*$ (resp. ξ≥ξ∗$\xi \ge \xi _*$ ), any sufficiently regular initial datum u0(x)≥0$u_0(x)\ge 0$ (resp. u0(x)≥0$u_0(x)\ge 0$ enjoying some smallness assumptions) produces a unique classical solution (u,v,w)$(u,v,w)$ to problem ( ⋄$\Diamond$ ) which is global, i.e. Tmax=∞$T_{\mathrm{max}}=\infty$ , and such that u, v and w are uniformly bounded. Conversely, the same conclusion holds true for every α,β,γ,δ,χ,ξ>0$\alpha ,\beta ,\gamma ,\delta ,\chi ,\xi >0$ , 0
The MorfFlex Dictionary of Czech as a Source of Linguistic Data

In this paper we describe MorfFlex, the Morphological Dictionary of Czech, as an invaluable resource for exploring the formal behavior of words. We demonstrate that MorfFlex provides valuable and rich data allowing to elaborate on various morphological issues in depth, which is also connected with the fact that the MorfFlex dictionary includes words throughout the whole vocabulary range, including non-standard units, proper nouns, abbreviations, etc. Moreover, in comparison with typical monolingual dictionaries of Czech, MorfFlex also captures non-standard wordforms, which is very important for Czech as a language with a rich inflection. In the paper we also demonstrate how particular information on lemmas and wordforms (e.g. variants, homonymy, style information) is marked and structured. The dictionary is provided as a digital open access source available to all scholars via the LINDAT/CLARIAH-CZ language resource repository. It is available in an electronic format, and also in a more human-readable, browsable and partly searchable