Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of nutritional recovery status and survival time among children from 0 to 14 years old with acute malnutrition admitted to a therapeutic feeding center in Oromia, Southern Ethiopia: A retrospective cohort study

Some studies have been conducted in Ethiopia to analyze the predictive factors associated with recovery or mortality in children with acute malnutrition, but no recent studies carried out in Oromia have analyze nutritional recovery status in this children. we studied the factors affecting nutritional recovery for survival in acutely malnourished children Southern Ethiopia. cohort study that included the children admitted to the (blinded for review) hospital (Oromia, Ethiopia) for acute malnutrition from January 2015 to December 2016 (n = 440). Kaplan–Meier tests and log-rank tests were used to describe the survival. Chi-squared tests and Spearman and Mann–Whitney U correlation tests were also employed. The mean survival time was shorter in children with severe versus moderate malnutrition at admission (49 days vs. 101 days; log-rank p = 0.042). The survival time was shorter in children with severe acute malnutrition at the time of admission. Survival time of children with moderate acute malnutrition was shorter in children who came from rural areas compared to urban areas. Severe acute malnutrition was associated with hospital stays, death rates, or transfer to another hospital. Practical implications: the results of this study may improve the care of children with malnutrition.
Comment on Critique of the foundations of time-dependent density-functional theory

Neepa T. Maitra,* Robert van Leeuwen, and Kieron Burke Department of Physics and Astronomy, Hunter College and City University of New York, 695 Park Avenue, New York, New York 10065, USA Department of Physics, University of Jyvaskyla, Survontie 9, FI 40014 Jyvaskyla, Finland Department of Chemistry, 1102 Natural Sciences 2, University of California Irvine, California 92697, USA Received 26 September 2007; published 3 November 2008
On revealing graph cycles via boundary measurements

This paper deals with boundary value inverse problems on a metric graph, the structure of the graph being assumed unknown. The question under consideration is how to detect from the dynamical and/or spectral inverse data whether the graph contains cycles (is not a tree). For any graph Ω, the dynamical as well as spectral boundary inverse data determine the so-called wave diameter defined on functionals supported in the graph. The known fact is that if Ω is a tree then dw ⩾ 0 holds and, in this case, the inverse data determine Ω up to isometry. A graph Ω is said to be coordinate if the functions {distΩ(⋅, γ)}γ∊∂Ω constitute a coordinate system on Ω. For such graphs, we propose a procedure, which reveals the presence/absence of cycles. The hypothesis is that Ω contains cycles if and only if dw takes negative values. We do not justify this hypothesis in the general case but reduce it to a certain special class of graphs (suns).
Large‐eddy simulations of plane impinging jets

The methods used for the study of the impingement of a thermally inhomogeneous plane jet on a solid plate, using large-eddy simulation, are described. Innovative numerical methods have been introduced to produce the thermally inhomogeneous jet, to study the transmission or thermal fluctuations into the solid plate, and to prevent overshoot in the thermal computation. We have studied the impingement of water on a perspex plate in three different geometries, and also one case of the impingement of liquid sodium on a steel plate. Comparison is made with available experimental data and closure calculations
CASPER: Covert Channel Using Internal Speakers

In recent years, researchers have studied various methods for transferring data in a network-separated environment, and the most representative method is the use of inaudible frequency signals like ultrasonic waves. This method has the advantage of being able to transfer data without other people noticing, but it has the disadvantage that speakers must exist. In a laboratory or company, external speakers may not be attached to each computer. Therefore, this paper presents a new covert channel attack that transfers data using internal speakers on the computer’s motherboard. The internal speaker can also produce a sound of the desired frequency, and, therefore, data can be transferred using high frequency sounds. We encode data into Morse code or binary code and transfer it. Then we record it using a smartphone. At this time, the location of the smartphone can be any distance within 1.5 m when the length per bit is longer than 50 ms, such as on the computer body or on the desk. Data are obtained by analyzing the recorded file. Our results show that data is transferred from a network-separated computer using an internal speaker with 20 bits/s in maximum.
Geomorphology, Land-Use, and Hemeroby of Foothills in Colombian Orinoquia: Classification and Correlation at a Regional Scale

Abstract In the management of ecosystem services, it is significant to relate land use with the physical characteristics of the terrain, which allows establishing the conditioning factors of human activities and planning their distribution. These analyzes are based on thematic cartography, usually generated with visual classifications of satellite images. Traditional mapping techniques involve limiting the timely availability of information by taking extended periods for interpretation and integration of multiple data sets. This article presents a methodology to overcome these difficulties, implements machine learning and cloud computing to generate timely thematic cartography and spatial analysis to support land use planning. The study area was delimited according to altitudinal levels that define braided and anastomosed river systems. Acquisition, processing, and classification of input data for modeling were performed on the Google Earth Engine platform. The spatial correlation between hemeroby and geomorphology was calculated with the odds ratio and its respective confidence interval. Maps of 27 geomorphological units, 11 types of land use, and six hemeroby levels are presented at a scale of 1:50,000. Confusion matrices of implemented classification models were also reported, allowed evaluating global, user’s, and producer’s accuracy. Correlations between relict of natural areas with the structural environment and urban infrastructure with alluvial fans stand out. The information generated by these procedures is essential for planning land use and prioritizing the maintenance of ecosystem services.
Assessment of Genetic and Health Management of Tunisian Holstein Dairy Herds with a Focus on Longevity

In Tunisia, the recognition of the possibility of including longevity and disease resistance in dairy cattle selection objectives has been hypothesized as a useful strategy by both researchers and producers. However, in this paper, the state of the art, with a focus on health and longevity, is reviewed. Along the same lines, the heritability for the milk traits, fertility traits, and longevity of Tunisian Holstein dairy cows complies with the literature. Therefore, the influence of genetics on some diseases of the dairy cow was investigated. In addition, a decreasing efficiency in cow fertility has been observed over the last few years. The results showed that the risk of culling increased with common diseases. When analyzed with the Weibull model, functional lifespan was strongly influenced by milk yield; therefore, the risk increased with a reduced milk yield. In her first three lactations, the relative risk of selection increased gradually with lactation. Thus, the risk of thinning is highest at the beginning and end of the first feeding and the end of her second feeding. In conclusion, the risk of culling was reduced in parity. The factors that influence the life of the herd, such as health, husbandry, environmental conditions, and management, are often ignored when evaluating longevity.
Identification and Control of Taylor-Görtler Vortices in Turbulent Curved Channel Flow

Direct numerical simulations of turbulent flows in a curved channel are performed. The drifting Taylor-Gortler vortices are identified by applying a conditional averaging. A new algorithm is proposed for identifying the drifting Taylor-Gortler vortices based on the wavelet transform of wall information. A continuous wavelet transform with Marr wavelets is employed to decompose the flow signals at a chosen length scale. An active cancellation is applied to attenuate the Taylor-Gortler vortices and to reduce the wall skin friction
A slotted and OFDM federated protocol for safety message broadcasting in VANETs

MAC protocol design is an important task for safety message broadcasting in VANETs. Previous research works have solved many basic problems. They have a poor performance in the high dynamic and dense vehicle environment. This paper proposes a slotted and OFDM federated protocol in which the control channel of IEEE 1609.4 is divided into many sub-channels for all nodes in the network to avoid conflicts and improve packet delivery ratio. Simulation results show that the proposed protocol has a higher performance of packet delivery ratio.
A Developed IoT Platform-Based Data Repository for Smart Farming Applications

Generally, it is possible to increase agricultural output while decreasing the time required for human oversight by automating routine tasks. In this work, the Internet of things (IoT) played a vital role in designing a platform to monitor a farm wirelessly, reducing human involvement, allowing remote observing, and remote control of the design using a public IP address based cross-platform, Apache, MySQL, PHP and Perl (XAMPP) Apache package. A cloud is appealing when a wireless sensor network generates a lot of data. Cloud-based wireless communication systems are being tested to monitor and manage a set of sensors and actuators to estimate paddy (rice) water requirements in a particular location. The proposed design shows robust interaction between two microcontrollers to deal with different sensors and simultaneously act as a WiFi unit. The row data obtained from the sensors is uploaded to the cloud through specific Hypertext Preprocessor (PHP) files to store and fetch the data from the database. Through the programming method, the system focuses on tracking the paddy growing value and the amount of water available in the soil, which should be around (10 Kpa) for an optimum paddy environment. The results emphasized that 80% of water is retained when a maximal 10 Kpa of soil moisture is achieved.
Immunogenic cell death in cancer immunotherapy

Cancer immunotherapy has been acknowledged as a new paradigm for cancer treatment, with notable therapeutic effects on certain cancer types. Despite their significant potential, clinical studies over the past decade have revealed that cancer immunotherapy has low response rates in the majority of solid tumors. One of the key causes for poor responses is known to be the relatively low immunogenicity of solid tumors. Because most solid tumors are immune desert ‘cold tumors’ with antitumor immunity blocked from the onset of innate immunity, combination therapies that combine validated T-based therapies with approaches that can increase tumor-immunogenicity are being considered as relevant therapeutic options. This review paper focuses on immunogenic cell death (ICD) as a way of enhancing immunogenicity in tumor tissues. We will thoroughly review how ICDs such as necroptosis, pyroptosis, and ferroptosis can improve anti-tumor immunity and outline clinical trials targeting ICD. Finally, we will discuss the potential of ICD inducers as an adjuvant for cancer immunotherapy.
Internationalization Motives of Emerging Market Firms: A View from Chinese State-Owned Enterprises

—The dynamic business environment drives us to revisit the existing typologies and frameworks of internationalization motives. This study examines Chinese state-owned enterprises’ motivational factors behind their internationalization. The qualitative research adopts the case study method of in-depth semi-structured interviews. Seven interviews have been conducted with managers of Chinese state-owned enterprises. Results show that Chinese state-owned enterprises’ internationalization is motivated by several drivers, including end customer market seeking, natural resource seeking, knowledge seeking, efficiency seeking, global value consolidation seeking, geopolitical influence seeking, reactive motives, network seeking, brand reputation seeking, and other triggers of internal conditions. Besides, the findings explain that external crisis like the COVID-19 pandemic has relatively small or even no effects on Chinese state-owned companies’ internationalization motives. The contribution of this study can enrich scholars’ understanding of emerging market firms’ internationalization motives and provide managerial implementations for practitioners.
Large-Eddy Boundary Layer Entrainment.

Abstract A series of large-eddy simulations have been performed to explore boundary layer entrainment under conditions of a strongly capped inversion layer with the boundary layer dynamics driven dominantly by buoyant forcing. Different conditions explored include cloud-top cooling versus surface heating, smoke clouds versus water clouds, variations in cooling height and optical depth of longwave radiation, degree of cloud-top evaporative instability, and modest wind shear. Boundary layer entrainment involves transport and mixing over a full range of length scales, as warm fluid from the region of the capping inversion is first transported into the boundary layer and then mixed throughout. While entrainment is often viewed as the small-scale process of capturing warm fluid from the inversion into the top of the boundary layer, this need not be the physics that ultimately determines the entrainment rate. In these simulations the authors find instead that the entrainment rate is often limited by the boundar.
Case report: Successful anterior temporal lobectomy in drug-resistant temporal lobe epilepsy associated with Sotos syndrome

The Sotos syndrome is an autosomal dominant disorder characterized by haploinsufficiency of NSD1 gene, with some individuals affected by epilepsy and, rarely, drug-resistant seizures. A 47-years-old female patient with Sotos syndrome was diagnosed with focal-onset seizures in left temporal lobe, left-side hippocampal atrophy, and neuropsychological testing with decreased performance in several cognitive domains. Patient was treated with left-side temporal lobe resection and developed complete awake seizure control in 3-years of follow-up, with marked improvement in quality-of-life. In selected, clinically concordant patients, resective surgeries may play a significant role in improving patient's quality of life and seizure control.
Effective detection of COVID-19 outbreak in chest X-Rays using fusionnet model

ABSTRACT The worldwide pandemic of coronavirus disease 2019 (COVID-19) triggers acute respiratory difficulties and breathing disorders in humans. The reverse transcription-polymerasssse chain reaction (RT–PCR) examination is generally done for the primary diagnosis of COVID-19. Though, it realizes a high false-alarm rate because the test is done during the first five days of disclosure. But still, the medical field hugely relies on the skill of healthcare professionals to interpret the results. Hence, an automatic chest X-ray-based COVID-19 detection system is more essential in recent times. To fulfil this requirement, a novel FusionNet Model is proposed in this paper for the precise classification of COVID-19 diseases. The CXR (Chest X-Ray) images are initially gathered from Cohen CXR Dataset and COVID-CT-MD dataset. The collected data is pre-processed through image resizing, ROI (Region of Interest) extraction, and noise filtering through Improved Anisotropic Filtering (IAF) to attain an enhanced image. The feature extraction process extracts the global and local features by adopting the Parallel Attention Layer (PAL) module. The optimal features are selected based on the Entropy Correlation score – ESA (Emperor Salp Algorithm) based feature selection process. Finally, the selected features are fed into the SoftMax classifier for COVID-19 detection from chest X-ray images. The implementation of the proposed model has been executed on Cohen CXR Dataset and COVID-CT-MD dataset using the Python platform. The classification accuracy of 99.82% is attained in the case of the Cohen CXR Dataset, and 99.02%. In the case of the COVID-CT-MD dataset is obtained in the proposed FusionNet model.
Risk of Lower Extremity Ligamentous Injury Following Concussion Diagnosis: A TriNetX Database Study

Background Concussion is one of the most frequently reported sports-related injuries in the United States; there is evidence that residual deficits in neurocognition may increase the risk of lower extremity musculoskeletal injury after concussion in high school, college, and professional athletes. The purpose of this study is to identify whether similar trends are identified in community-based populations. Methods The TriNetX Research Network database was queried for patients 10-60 years old who experienced an ambulatory or emergency visit from 2018-2020. Cohorts were defined by patients seen for concussion and patients seen for other reasons. These cohorts were then propensity score matched based on significant differences in demographics; after matching, each cohort included 97,708 patients. The propensity score-matched cohorts were then evaluated to identify patients who experienced subsequent lower extremity ligamentous injury within 12 months. Results Patients with a history of concussion were more likely to experience posterior cruciate ligament (PCL) sprain (0.04% vs. 0.02%, risk ratio (RR)=1.79, p=. 039), medial collateral ligament (MCL) sprain (0.18% vs. 0.08%, RR=2.355, p<.001), lateral collateral ligament (LCL) sprain (0.05% vs. 0.02%, RR=2.202, p=.003) and ankle sprain (1.05% vs. 0.47%, RR=2.265, p<.001). Conclusion Patients diagnosed with concussion were more likely to experience a lower extremity ligamentous injury when compared with patients who did not have concussion. Patients should be counseled regarding this increased risk and additional neuromuscular evaluation and injury prevention education may be indicated following concussion diagnosis.
Graph-Based Change-Point Analysis

Recent technological advances allow for the collection of massive data in the study of complex phenomena over time and/or space in various fields. Many of these data involve sequences of high-dimensional or non-Euclidean measurements, where change-point analysis is a crucial early step in understanding the data. Segmentation, or offline change-point analysis, divides data into homogeneous temporal or spatial segments, making subsequent analysis easier; its online counterpart detects changes in sequentially observed data, allowing for real-time anomaly detection. This article reviews a nonparametric change-point analysis framework that utilizes graphs representing the similarity between observations. This framework can be applied to data as long as a reasonable dissimilarity distance among the observations can be defined. Thus, this framework can be applied to a wide range of applications, from high-dimensional data to non-Euclidean data, such as imaging data or network data. In addition, analytic formulas can be derived to control the false discoveries, making them easy off-the-shelf data analysis tools.
PENGETAHUAN, SIKAP DAN EFEK SAMPING KEMOTERAPI PADA PASIEN DENGAN KANKER PAYUDARA

Knowledge and attitudes about breast cancer are very important and have a big influence on the treatment and side effects of chemotherapy felt by breast cancer patients. The purpose of this study was to determine the relationship between knowledge and attitudes with chemotherapy side effects felt by breast cancer patients in Banda Aceh City in 2021. The method of this study was cross-sectional. Sampling using purposive sampling technique amounted to 43 breast cancer patients undergoing chemotherapy. Data collection from 27 April 2021 to 21 May 2021 using a standard questionnaire adopted from BMC Woman's Health in 2019 and the Breast Cancer Module: QLQ-BR23 questionnaire. Data analysis using chi-square. The results showed that the respondent's knowledge was in the moderate category (51.2%), the respondent's attitude was in the positive category (97.3%), and the perceived side effects of chemotherapy were in the mild category (88.4%). From the bivariate results, it was found that there was a relationship between knowledge of p value (P = 0.001) and attitude (P = 0.032) with chemotherapy side effects felt by breast cancer patients. It is hoped that patients with a medical diagnosis of breast cancer can deepen their knowledge about the treatment to be undertaken such as chemotherapy, so that the effectiveness of the treatment runs smoothly and all side effects of treatment can be passed properly.
Magnolol Loaded on Carboxymethyl Chitosan Particles Improved the Antimicrobial Resistance and Storability of Kiwifruits

Magnolol is a natural compound extracted from the traditional Chinese medicine Magnolia officinalis, which exhibits antimicrobial properties. However, magnolol is insoluble in water and consists of a phenolic hydroxyl group, which is volatile; these factors hinder its application. In this study, a safe and environmentally friendly method to improve the microbial resistance and storability of harvested fruits is developed using the water-soluble carrier carboxymethyl chitosan (CMCS) and magnolol. Magnolol was loaded on CMCS particles to form Magnolol@CMCS antimicrobial particles, a preservation coating agent. Magnolol@CMCS particles effectively solved the problems of water insolubility and agglomeration of magnolol and reduced the size distribution D50 value of magnolol from 0.749 to 0.213 μm. Magnolol@CMCS particles showed greater toxicity against Staphylococcus aureus, Escherichia coli, and Botryosphaeria dothidea than that of magnolol alone, with effective medium concentration (EC50) values of 0.9408, 142.4144, and 8.8028 μg/mL, respectively. Kiwifruit treated with the Magnolol@CMCS solution showed delayed changes in fruit hardness and soluble solid and dry matter contents and significantly higher ascorbic acid (vitamin C) and soluble total sugar contents and sugar:acid ratios compared with that of the control fruit. In addition, no disease spots were observed on fruit treated with the Magnolol@CMCS solution within 7 days after inoculation with B. dothidea. In conclusion, Magnolol@CMCS particles showed antimicrobial activity on harvested fruits, effectively delayed the hardness and nutritional changes of fruits during storage, and improved the storability of kiwifruit.