Miracle-dz/UniFAR-FTUs huggingface dataset:
Robot-Aided Motion Analysis in Neurorehabilitation: Benefits and Challenges

In the neurorehabilitation field, robot-aided motion analysis (R-AMA) could be helpful for two main reasons: (1) it allows the registration and monitoring of patients’ motion parameters in a more accurate way than clinical scales (clinical purpose), and (2) the multitude of data produced using R-AMA can be used to build machine learning algorithms, detecting prognostic and predictive factors for better motor outcomes (research purpose). Despite their potential in clinical settings, robotic assessment tools have not gained widespread clinical acceptance. Some barriers remain to their clinical adoption, such as their reliability and validity compared to the existing standardized scales. In this narrative review, we sought to investigate the usefulness of R-AMA systems in patients affected by neurological disorders. We found that the most used R-AMA tools are the Lokomat (an exoskeleton device used for gait and balance rehabilitation) and the Armeo (both Power and Spring, used for the rehabilitation of upper limb impairment). The motion analysis provided by these robotic devices was used to tailor rehabilitation sessions based on the objective quantification of patients’ functional abilities. Spinal cord injury and stroke patients were the most investigated individuals with these common exoskeletons. Research on the use of robotics as an assessment tool should be fostered, taking into account the biomechanical parameters able to predict the accuracy of movements.
Forecasting Conversion Rate for Real Time CPC Bidding With Target ROAS

For bidding in real time, the rate of customer conversion needs to be predicted in real time. Using the rate prediction and the target return on ad spend, a competitive CPC bid can be computed. In our study, we built two models, i.e., MoM and MCI namely, for forecasting the rate of conversion. The results we obtained by applying our models on the marketing campaigns of two startups were promising. Both MoM and MCI run in constant <inline-formula> <tex-math notation="LaTeX">$O(1)$ </tex-math></inline-formula> time, and require <inline-formula> <tex-math notation="LaTeX">$O(n)$ </tex-math></inline-formula> space for <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula> observations. Furthermore, both models can be updated with fresh data in <inline-formula> <tex-math notation="LaTeX">$O(1)$ </tex-math></inline-formula> time; hence, they are suitable for a data streaming application where new data arrives continuously in an online manner.
Properties of Dissolved Organic Carbon(DOC) released by Three Species of Blue-green Algae

The amount, chemical composition and optical property of extracellular dissolved organic carbon (EOC) by phytoplankton were examined using axenic cultures of Microcystis aeruginosa, Anabaena f los-aquae, and Oscillatoria agardhii. The extracellular organic matter was categorized into five fractions (hydrophobic acids; AHSs, hydrophobic neutrals; HoNs, hydrophilic acids; HiAs, hydrophilic bases; HiBs, and hydrophilic neutrals; HiNs) using three adsorbent resins (XAD-8, cation, and anion). The release pattern and chemical composition of EOC varied with algal species and their growth phases. Percentage of extracellular release increased with age in all cultures. HiAs were the dominant component of EOC in all cultures, whereas the proportion of HiAs decreased with age in all cultures. In contrast, the proportions of HiBs and HiNs increased as cultures aged. In particular, the HiN fraction increased from 0% to 44% of EOC in M. aeruginosa and from 3.0% to 28% in A. f los-aquae, respectively. The proportion of AHSs was higher in the cultures of A. flos-aquae (7.5~16%) and O. agardhii (8.7~16%) than M. aeruginosa (0.2~2.5%). The proportions of AHSs increased with culture age in M. aeruginosa and O. agardhii, but decreased in A. f los-aquae. The specific UV absorbance also varied among species; 1.9 Abs∙cm1/mgC∙L1 for M. aeruginosa, 3.7 Abs∙cm1/mgC∙L1 for A. f los-aquae, and 13.0 Abs∙cm1/mgC∙L1 for O. agardhii. The results of this study indicates that DOC excreted by three blue-green algae differed with species and the growth phase.
A Single Nonsteroidal Anti-Inflammatory Drugs-Induced Anaphylaxis to Diclofenac Confirmed by Skin Testing

Anaphylaxis is a serious acute systemic allergic reaction that can lead to death, thus requiring immediate diagnosis and treatment. In particular, food is the most common cause of anaphylaxis in children, adolescents, and young adults. In addition to physical contact with food, anaphylaxis can also be induced by exposures other than ingestion, such as the inhalation of aerosolized food proteins. Korean males undergo medical screening prior to a compulsory military service. A history of possible food allergy requires referral to a specialized allergy clinic. It was reported in 2021 that a 19-year-old male patient enlisted in the military was referred to the allergy clinic for an oral provocation test. That case confirmed that anaphylaxis was caused not only by walnut intake, but also by skin contact or by inhaling walnut particles, which will be reviewed in this paper.
Manipulation of Seed Water Relations Via Osmotic Priming to Improve Germination Under Stress Conditions

For annual crops, the time from planting to seedling establishment is a crucial phase in the production cycle. Uniformity and percentage of emergence of direct-seeded crops can have a major impact on final yield and quality, particularly for vegetables (84). Techniques of precision planting to achieve desired plant populations depend on a high probability of successful establishment for each seed planted (26). Furthermore, increasing use of expensive hybrid seed has placed additional emphasis on the performance of each seed planted. The soil environment often, however, is not conducive to rapid germination and seedling growth. Physical stresses, such as extreme temperatures, excess or deficit of water, salinity, or soil crusting; and biological stresses, including pathogens and insects, can all adversely affect germination and seedling growth. These problems are compounded by the increased susceptibility of plants to many of these stresses during germination and emergence. It is not surprising, therefore, that there have been many attempts to devise presowing treatments to improve seed performance in the field. The wide range of such treatments has been thoroughly reviewed and categorized by Heydecker and Coolbear (38).
Pyrolysis and Dioxin Production Characteristics of Mineralized Waste in Landfills

Compared with original municipal solid waste (MSW), mineralized waste (MW) has a lower moisture content, higher calorific value, and better energy utilization potential. However, due to the high chlorine content of MW and the presence of heavy metals, dioxin and other harmful substances are easily produced during pyrolysis. Therefore, this study investigated the effects of different external chlorine sources and pretreatment methods on the pyrolysis characteristics of MW and the formation of polychlorinated dibenzo-p -dioxins/polychloro dibenzofurans (PCDD/Fs) in pyrolysis fuel gas. This study also compared the heavy metal speciation in char formed during MW pyrolysis using in situ X-ray photoelectron spectroscopy. The results show that carbon and chlorine mainly exist in the form of C and organic chlorine and CuCl 2 , respectively. Based on thermogravimetric analysis, MW pyrolysis is completed at 200–850 ° C. The char ignition loss rate is ~ 20%, and the maximum calorific value is 14,217 kJ kg –1 . The gaseous heavy metals in fuel gas is relatively stable, but the heavy metal concentration slightly decreases. Compared with other external chlorine sources (NaCl and PVC), CuCl 2 has the strongest catalytic effect to promote the gaseous PCDD/Fs formation during pyrolysis. During MW pyrolysis, the PCDD/F concentration is 49.13 ng m –3 . When the soil content of MW is high, the concentration of PCDD/Fs is low; it decreases from 10.46 to 7.21 ng m –3 . During the pyrolysis, the PCDD/F concentration of MW is higher than that of the original MSW. After the addition of 30% biomass, the PCDD/F content increases to 16.92 ng m –3 . The experimental results of this study provide novel technical guidance for the resource utilization of MW.
Job security in the apparel industry in Sri Lanka

Due to a lack of job security, many employees in Sri Lanka’s garment industry – which is important to the country’s economy – experience irritation and fear. Most employees fear the unexpected, and the loss of workplace security exacerbates these fears. This study aimed to pinpoint factors that affect the job security of office-based employees in Sri Lanka’s garment sector. A cross-sectional survey, using a structured questionnaire, was used to determine the factors affecting job security using stepwise multiple regression analysis. Government policies, skill level and the status of employment were found to be significantly associated with job security while collective bargaining and the working environment were not statistically significant. The research identified a set of factors that are suitable for assessing job security. The article concludes by exploring the implications of the results for decision-makers and making recommendations to employers, government bodies, and trade unions for measures whose implementation might bolster employees’ assurance of job stability for garment workers.
Enzyme Databases in the Era of Omics and Artificial Intelligence

Enzyme research is important for the development of various scientific fields such as medicine and biotechnology. Enzyme databases facilitate this research by providing a wide range of information relevant to research planning and data analysis. Over the years, various databases that cover different aspects of enzyme biology (e.g., kinetic parameters, enzyme occurrence, and reaction mechanisms) have been developed. Most of the databases are curated manually, which improves reliability of the information; however, such curation cannot keep pace with the exponential growth in published data. Lack of data standardization is another obstacle for data extraction and analysis. Improving machine readability of databases is especially important in the light of recent advances in deep learning algorithms that require big training datasets. This review provides information regarding the current state of enzyme databases, especially in relation to the ever-increasing amount of generated research data and recent advancements in artificial intelligence algorithms. Furthermore, it describes several enzyme databases, providing the reader with necessary information for their use.
Recent strong inter-decadal change of Meiyu in 121-year variations

The strongest change in Meiyu periods in the mid-lower Yangtze Basin (MLY) since 1885 occurred in the late 1970s: a stage of weak Meiyu from 1958 to 1978 abruptly transformed into a stage of plentiful Meiyu from 1979 to 1999. The average Meiyu amount of the latter 21 years increased by 66% compared with that of the former 21 years, accompanied by a significant increase in the occurrence of summer floods in the MLY. This change was closely related with the frequent phenomenon of postponed Meiyu ending dates (MED) and later onset dates of high summer (ODHS) in the MLY. To a considerable degree, this reflects an abrupt change of the summer climate in East China. Further analysis showed that the preceding factors contributing to inter-annual changes in Meiyu in the two 21-year stages delimited above were also very different from each other. The causes of change were associated with the following: China's industrialization has greatly accelerated since the 1970s, accompanied by an increase in atmospheric pollution and a reduction of the solar radiation reaching the ground. The sand area of North China has also expanded due to overgrazing. The enhanced greenhouse effect is manifested in warm winters (especially in February). Meanwhile, the January precipitation of the MLY has for the most part increased, and El Nino events have occurred more frequently since the late 1970s. A correlative scatter diagram consisting of these five factors mentioned above clearly shows that the two stages with opposite Meiyu characteristics are grouped in two contrasting locations with very different environmental (land-atmosphere) conditions. It is quite possible that we are now entering a new stage of lesser Meiyu, beginning in 2000.
EVALUATING SPATIAL DISTRIBUTION OF SOIL EROSION USING WEPP EROSION MODEL AND GIS TOOLS: A REVIEW

Soil water erosion is a major global environmental problem. In order to develop a comprehensive soil and water conservation plan, it is essential to estimate runoff and soil loss. Simulation models are important available tools for soil erosion assessment without costly and time consuming field tests. In this paper, the capability of the WEPP (Water Erosion Prediction Project) watershed model for simulating runoff and soil lossisreviewed. Monthly and event-by-event runoff and sediment yieldcan be simulated by the WEPP model.The geo-spatial interface of the WEPP model (GeoWEPP) is used in preparing the database with WEPP. The breakpoint climate data generator (BPCDG) and climate component of the WEPP model (CLIGEN) can be used to generate the climate file. The overall results of the model calibration may show over-predictions or under-predictions.The model may predict sediment yield for selected events with a low ENS but the model performance may be poor for continuous simulating and vice versa. The sensitivity analysis and calibration process can show that the sediment yield and runoff are sensitive in some parameters such as inter-rill erosion and effective hydraulic conductivity. The review indicates that the WEPP model can be used for developing soil and water conservation management plan.
HUBUNGAN KEPATUHAN DIIT HIPERTENSI DENGAN KEJADIAN HIPERTENSI PADA LANSIA DI POSBINDU PTM DESA RAMAN ENDRA KABUPATEN LAMPUNG TIMUR TAHUN 2021

Hipertensi atau biasa disebut “Silent Killer” tanpa disadari dapat menyebabkan kematian karena merupakan penyakit yang terkadang tidak memiliki gejala atau tanda-tanda dan dapat terjadi pada siapa saja baik pria maupun wanita. Di Indonesia prevelensi hipertensi berdasarkan usia mengalami peningkatan yang signifikan dari 31,6 % pada rentang usia 35-44 tahun meningkat sebanyak 13,7% menjadi 45,3% pada rentang usia 45-54 tahun. Upaya yang dapat dilakukan untuk menurunkan tekanan darah ada dengan menjalani diit hipertensi. Tujuan penelitian ini untuk mengetahui mengetahui hubungan kepatuhan diit hipertensi dengan kejadian hipertensi pada lansia di Posbindu PTM Desa Raman Endra Kabupaten Lampung Timur tahun 2021. Jenis penelitian ini yaitu kuantitatif dengan rancangan penelitian cross sectional. Populasi dalam penelitian ini adalah seluruh lansia di Posbindu PTM Desa Raman Endra Kabupaten Lampung Timur tahun 2020 berjumlah 60 orang dengan sampel 30 orang. Teknik sampling yang digunakan adalah purposive sampling. Analisis data yang digunakan adalah uji chi square. Hasil penelitian ini menunjukkan bahwa 17 (56,7%) responden tidak patuh diit hipertensi dan 13 (43,3%) responden patuh diit hipertensi. Distribusi frekuensi kejadian hipertensi terdapat 18 (60%) responden mengalami hipertensi dan 12 (40%) responden tidak mengalami hipertensi. Hasil analisis data didapatkan ada hubungan kepatuhan diit hipertensi dengan kejadian hipertensi pada lansia di Posbindu PTM Desa Raman Endra Kabupaten Lampung Timur tahun 2021 dengan p value 0,013. Saran Lansia hendaknya selalu menerapkan pola hidup yang baik dengan menghindari rokok dan asap rokok, melakukan aktivitas fisik sebanyak minimal 3 kali dalam seminggu selama 30 menit sehari, dan dapat diit hipertensi dalam kehidupan sehari-hari agar tekanan darah tetap normal.
Long-Term Dynamics of Ozone in Surface Atmosphere at Remote Mountain, Rural and Urban Sites of South-East Siberia, Russia

Long-term monitoring of near-ground ozone concentration was performed in the remote mountain area as well as at rural and urban sites of South-East Siberia. Ozone concentrations at all three sites had similar seasonal dynamics with its maximum in spring and minimum in autumn. Such seasonal trends were characteristic of many areas of the Northern Hemisphere. Diurnal fluctuations of ozone concentrations were caused by photochemical generation of ozone at daytime and its partial depletion at night. Diurnal fluctuations were maximal in spring and summer and minimal in December and January in accordance with solar radiation intensity. At the urban site, mean ozone concentrations were significantly lower (about 2 times) than those in the rural and background areas. This was likely attributed to the increased consumption of ozone for oxidation of air pollutants in the urbanized area. A tendency to the decrease of mean annual ozone concentrations was recorded during long-term observations at the mountain site Mondy.
Eocene-Miocene magnetostratigraphy of the southeast Greenland Margin and western Irminger Basin

Shore-based paleomagnetic investigations were conducted on Eocene‐Miocene sediments recovered during Ocean Drilling Program Leg 152 drilling of the southeast Greenland Margin and the western Irminger Basin. A total of 147 specimens was analyzed. In general, the magnetostratigraphy obtained from the shipboard whole-core magnetometer studies (spot demagnetization at 25 mT) has been confirmed. However, a number of specimens yielded polarities different from those obtained by the shipboard magnetometer, calling for some caution in the interpretation of the magnetostratigraphy. During Leg 152, it proved difficult to correlate the polarity records with the geomagnetic polarity time scale because of core recovery and the limited b iostratigraphic information available at the time. Since then, the shore-based biostratigraphic studies have yielded many datum points useful for correlating the refined magnetozone sequences to the polarity time scale. In terms of seaward dipping reflect or formation, the new data are particularly valuable in determining their subsidence history. At Sites 915 and 917, close to the southeast Greenland ocean/continent transition, intervals of 13 m.y. and 4 m.y. , respectively, elapsed before marine sedimentation commenced. Sedimentation at Site 918, in the western part of the Irminger Basin, commenced almost immediately after seaward dipping reflector formation at about 54 Ma.
Supercobalancing Numbers

A natural number n is called cobalancing number (with cobalancer r) if it satisfies the Diophantine equation 1+2+·· ·+n = (n+1)+(n+2)+·· ·+(n+r). However, if for some pair of natural numbers (n, r), 1+2+· · ·+n > (n+1)+(n+2)+· · ·+(n+r) and equality is achieved after adding a natural number D to the right hand side then we call n a D-supercobalancing number with D-supercobalaner number r. In this paper, such numbers are studied for certain values of D.
3D‐visualization and analysis of macro‐ and meso‐porosity of the upper horizons of a sodic, texture‐contrast soil

The lower E and upper B horizons of sodic, texture‐contrast soils are a formidable barrier to most annual and many perennial crops. The research presented here is part of a wider study into the nature of subsoil constraints to root exploration. The aim of this study was to characterize in three dimensions the macro‐ and meso‐porosity across the E horizon–Btn horizon interface of a sodic, texture‐contrast soil using X‐ray computed tomography (CT). Intact soil cores of 50‐cm length and 15‐cm diameter were scanned with a medical CT X‐ray machine. The pore volume reconstructed from these scans had a resolution of 0.3 × 0.3 × 0.4 cm (in the x, y, z dimensions, respectively). This resolution allowed visualization and quantification of the macroporosity of the intact cores. Undisturbed samples of 1.5‐cm diameter and 4‐cm length were carefully excised from the interface and scanned with micro‐CT X‐ray equipment. The reconstructed pore volumes had an isotropic resolution of 19 μm that allowed analysis of the mesoporosity just on the boundary between the E and Btn horizons. Mesoporosity decreased across the interface and increased lower in the Btn horizon. The distribution of the pores at the macro‐ and meso‐scales showed the importance of the smaller pores in the A and E horizons, whereas most of the porosity in the Btn horizon was attributed to the larger pores. Pores in this sodic, texture‐contrast soil were not distributed homogeneously at either the macro‐ or meso‐scale. A greater proportion of the pores in the E–B interface were horizontal than in the upper A1, upper E and lower Btn horizons. Some ‘coiling’ of the pores was also apparent in the interface. The shape of some pores (long tubular pores) suggested formation by roots as they drilled through the soil. The orientation of these pores was a function of physical (and possibly chemical) impedance at the interface.
Anomaly detection using deep learning based model with feature attention

Anomaly detection is a difficult problem with numerous industrial applications, such as analyzing the quality of objects using images. Anomaly detection is the process of identifying outliers in a given dataset. Recently, machine learning approaches to computer vision problems have outperformed classical state-of-the-art approaches. Anomaly detection problems can be solved using supervised approaches. However, labelled datasets are hard to obtain. Thus, many researchers have taken an unsupervised approach to solving the problem of anomaly detection. In this study, we use an adversarial auto encoder model as a base model and create a custom model to detect anomalies in images and videos. The model was trained exclusively on normal data. The modified national institute of standards and technology database (MNIST) dataset achieved an area under curve (AUC) score of 0.872 for anomaly detection, while the University of California San Diego (UCSD) anomaly dataset (Video dataset) achieved an AUC score of 0.74 for Ped1 and 0.87 for Ped2. To calculate the anomaly score, the concept of attention weights is combined with the reconstruction loss, and the proposed method outperformed other similar methods designed for the same problem. However, the usefulness of the proposed model was demonstrated through the detection of anomalies, and the model is still being improved for use in real-world situations.