Miracle-dz/UniFAR-FTUs huggingface dataset:
Metagenomic evidence for antibiotic-associated actinomycetes in the Karamay Gobi region

Due to the misuse of antibiotics, there is an increasing emergence and spread of multidrug-resistant (MDR) bacteria, leading to a human health crisis. To address clinical antibiotic resistance and prevent/control pathogenic microorganisms, the development of novel antibiotics is essential. This also offers a new approach to discovering valuable actinobacterial flora capable of producing natural bioactive products. In this study, we employed bioinformatics and macro-genome sequencing to collect 15 soil samples from three different locations in the Karamay Gobi region. First, we assessed the diversity of microorganisms in soil samples from different locations, analyzing the content of bacteria, archaea, actinomycetes, and fungi. The biodiversity of soil samples from outside the Gobi was found to be higher than that of soil samples from within and in the center of the Gobi. Second, through microbial interaction network analysis, we identified actinomycetes as the dominant group in the system. We have identified the top four antibiotic genes, such as Ecol_fabG_TRC, Efac_liaR_DAP, tetA (58), and macB, by CARD. These genes are associated with peptide antibiotics, disinfecting agents and antiseptics, tetracycline antibiotics, and macrolide antibiotics. In addition, we also obtained 40 other antibiotic-related genes through CARD alignment. Through in-depth analysis of desert soil samples, we identified several unstudied microbial species belonging to different families, including Erythrobacteriaceae, Solirubrobacterales, Thermoleophilaceae, Gaiellaceae, Nocardioidaceae, Actinomycetia, Egibacteraceae, and Acidimicrobiales. These species have the capability to produce peptide antibiotics, macrolide antibiotics, and tetracycline antibiotics, as well as disinfectants and preservatives. This study provides valuable theoretical support for future in-depth research.
Improving Digital Literacy on Business for Adolescents in SMP Muhammadiyah Daarul Arqom Klaten

This community service (PKM) objectives are to discover how these adolescents utilize digital platforms and their obstacles for their businesses and to find out how to improve digital literacy on business for adolescents in SMP Muhammadiyah Daarul Arqom Klaten . This activity employs qualitative research using four steps in collecting the data; observation and interview, preparation of material, implementation of activities, and evaluation. This community service (PKM) was held from March 11-13, 2023 in SMP Muhammadiyah Daarul Arqom Klaten with the total of 40 adolescent participants. The first result, the majority students use internet and social media for entertainment and pleasure, not business interest. Second, the students faced obstacles in improving digital literacy and starting business using digital media. Third, the community service (PKM) team create solution to improve digital literacy on business for adolescent such as increasing the knowledge of digital literacy and its utilization, arranging schedules for individual target or business, learning more about the product strategy and marketing, upgrading and escalating new information every day, finding networks to level up their spread of communication, and being confident and independent, especially on financial life.
Effect of maternal serum albumin level on birthweight and gestational age: an analysis of 39200 singleton newborns

Background Serum albumin plays a pivotal role in regulating plasma oncotic pressure and modulating fluid distribution among various body compartments. Previous research examining the association between maternal serum albumin levels and fetal growth yielded limited and inconclusive findings. Therefore, the specific influence of serum albumin on fetal growth remains poorly understood and warrants further investigation. Methods A retrospective study involved 39200 women who had a singleton live birth at a tertiary-care academic medical center during the period from January 2017 to December 2020. Women were categorized into four groups according to the quartile of albumin concentration during early pregnancy: Q1 group, ≤41.0 g/L; Q2 group, 41.1-42.6 g/L; Q3 group, 42.7-44.3 g/L and Q4 group, >44.3 g/L. The main outcome measures were mid-term estimated fetal weight, birthweight and gestational age. Multivariate linear and logistic regression analysis were performed to detect the independent effect of maternal serum albumin level on fetal growth after adjusting for important confounding variables. Results In the crude analysis, a significant inverse correlation was found between early pregnancy maternal serum albumin levels and fetal growth status, including mid-term ultrasound measurements, mid-term estimated fetal weight, birthweight, and gestational age. After adjustment for a number of confounding factors, mid-term estimated fetal weight, birthweight, and birth height decreased significantly with increasing albumin levels. Compared to the Q2 group, the Q4 group had higher rates of preterm birth (aOR, 1.16; 95% CI, 1.01–1.34), small-for-gestational-age (aOR, 1.27; 95% CI, 1.11–1.45) and low birthweight (aOR, 1.41; 95% CI, 1.18–1.69), and lower rate of large-for-gestational-age (aOR, 0.85; 95% CI, 0.78–0.94). Moreover, to achieve the optimal neonatal outcome, women with higher early pregnancy albumin levels required a greater reduction in albumin levels in later pregnancy stages. Conclusions A higher maternal serum albumin level during early pregnancy was associated with poor fetal growth, with the detrimental effects becoming apparent as early as the mid-gestation period. These findings provided vital information for clinicians to predict fetal growth status and identify cases with a high risk of adverse neonatal outcomes early on.
Nivolumab-Induced Cytokine Release Syndrome: A Case Report and Literature Review

infusion of hydrocortisone. Conclusions: The use of ICIs is expanding. Nivolumab-induced CRS is rarely described but can be severe and lead to multiple organ dysfunction; therefore, intensive care practitioners should be informed about this adverse effect. More studies are needed to better understand this condition and establish treatment guidelines.
Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach

A comprehensive and reliable assessment of the water resources in China's transboundary river basins is vital for water resources management and peaceful development. In this study, we built machine learning (random forest, gradient boosting, and stacking) and traditional linear models to identify the relation between the runoff coefficient and its influencing factors, including topography, climate, land cover, and soil. The cross‐validation results show that the machine learning models greatly outperform the traditional linear model in predicting runoff coefficient. High‐resolution (0.1°) runoff coefficient and runoff maps for the China's transboundary river basins riparian countries were produced and compared with other estimates at the country level. The best water resources estimates achieved from the machine learning model are consistent with the Food and Agriculture Organization of the United Nations AQUASTAT database (root‐mean‐square error = 76.97 km3/year, normalized root‐mean‐square error = 12%) at the country level. This outperformed two currently available runoff products: the UNH/GRDC Global Composite Runoff Fields and the Global Streamflow Characteristics Dataset. The study also demonstrated that accurate precipitation data can improve runoff and water resources estimation accuracy and that climate and topographic factors have a controlling role in prediction, whereas the influences of land cover and soils are weak. Finally, China's transboundary water resources were calculated and thoroughly assessed at basin and country levels.
Prototype of Water Turbidity Monitoring System

Along with the increasing use of water by the community, the quality of water needs to be considered, especially for human consumption. Water quality is determined based on the value of turbidity of water. This project develops an Arduino Uno-based water turbidity monitoring system, which is aimed to measure water level and water turbidity levels. The turbidity sensor consists of a photodiode and infrared LED. Measurements of water turbidity using principles of light scattering in the water. The turbidity sensor to detect the intensity of light passing through the scattering of particles and the results of the analog signal voltage. The signal entering Arduino Uno of the ultrasonic sensor and the turbidity sensor will be processed. The measurement results is converted to NTU (Nephelometric Turbidity Units) and liter, then are shown on the LCD display 2x16. The turbidity measurement limits on this system are designed between 0 NTU to 40 NTU. This system can potentially help PDAM in monitoring water tanks and it is hoped that water quality monitoring system can be applied online.
Wrist-Based Fall Detection: Towards Generalization across Datasets

Increasing age is related to a decrease in independence of movement and with this decrease comes falls, millions of falls occur every year and the most affected people are the older adults. These falls usually have a big impact on health and independence of the older adults, as well as financial impact on the health systems. Thus, many studies have developed fall detectors from several types of sensors. Previous studies related to the creation of fall detection systems models use only one dataset that usually has a small number of samples. Training and testing machine learning models in this small scope: (i) yield overoptimistic classification rates, (ii) do not generalize to real-life situations and (iii) have very high rate of false positives. Given this, the proposal of this research work is the creation of a new dataset that encompasses data from three different datasets, with more than 1300 fall samples and 28 K negative samples. Our new dataset includes a standard way of adding samples, which allow the future addition of other data sources. We evaluate our dataset by using classic cost-sensitive Machine Leaning methods that deal with class imbalance. For the training and validation of this model, a set of temporal and frequency features were extracted from the raw data of an accelerometer and a gyroscope using a sliding window of 2 s with an overlap of 50%. We study the generalization properties of each dataset, by testing on the other datasets and also the performance of our new dataset. The model showed a good ability to distinguish between activities of daily living and falls, achieving a recall of 90.57%, a specificity of 96.91% and an Area Under the Receiver Operating Characteristic curve (AUC-ROC) value of 98.85% against the combination of three datasets.
Improving Shape Transformations for RGB Cameras Using Photometric Stereo

The emergence of low-cost red, green, and blue (RGB) cameras has significantly impacted various computer vision tasks. However, these cameras often produce depth maps with limited object details, noise, and missing information. These limitations can adversely affect the quality of 3D reconstruction and the accuracy of camera trajectory estimation. Additionally, existing depth refinement methods struggle to distinguish shape from complex albedo, leading to visible artifacts in the refined depth maps. In this paper, we address these challenges by proposing two novel methods based on the theory of photometric stereo. The first method, the RGB ratio model, tackles the nonlinearity problem present in previous approaches and provides a closed-form solution. The second method, the robust multi-light model, overcomes the limitations of existing depth refinement methods by accurately estimating shape from imperfect depth data without relying on regularization. Furthermore, we demonstrate the effectiveness of combining these methods with image super-resolution to obtain high-quality, high-resolution depth maps. Through quantitative and qualitative experiments, we validate the robustness and effectiveness of our techniques in improving shape transformations for RGB cameras.
Adaptation of Stadier's apparatus for electrophoresis of main milk proteins

The object of research is a Stadier-type apparatus for analytical electrophoresis of proteins. In the milk proteins research, in addition, there is a need to carry out serial express analyzes of their various groups, as well as the isolation of individual homogeneous fractions. The dimensions of working chambers for analytical, express, and micro preparative electrophoresis of caseins and milk whey proteins were proposed to solve this task. For each type of electrophoresis, different chambers and formers are used without changing the design of the apparatus. The apparatus is suitable for electrophoretic systems used for the analysis of milk proteins. Analysis of casein in the anodic system of a homogeneous polyacrylamide gel in the presence of urea allows identification of the main fractions: αS1-CN-8P, αS1-CN-9P, αS2-CN-10P, αS2-CN-11P, αS2-CN-12P, αS2-CN-13P, β-CN-5P, ϰ-CN-1P and three β-casein fragments f(29-209), f(106-209) and f(108-209). Express electrophoresis in the presence of urea reveals four fractions of caseins: αS1-CN, αS2-CN, β-CN, and ϰ-CN. The analysis of whey proteins in the Davis native disc electrophoresis system allows identification of β-Lg A, β-Lg B, α-La, BSA fractions, and a group of immunoglobulin fractions. The express electrophoregram differs by a common band A and B variants of β-Lg. Due to an adequate selection of electrophoretic systems, it is possible to identify semi-quantitatively all the main fractions of milk proteins under analytical or express mode. The adapted apparatus also makes it possible to conduct micro preparative electrophoresis and obtain the main fractions of milk proteins. In this case, the yield of electrophoretically pure proteins is: β-CN-5P (23±5 %), β-Lg (A+B) (27±6 %), α-La (11±3 %), and purified groups of αS1-CN-8P+αS1-CN-9P (25±6 %), αS2-CN-(10-13P) (6±1.5 %) and ϰ-CN-1P (7±2 %). The apparatus could be used at enterprises producing dairy protein products
Macroeconomic and Financial Consequences of the After Crisis Government-Driven Credit Expansion in Brazil

The Working Papers should not be reported as representing the views of the Banco Central do Brasil. The views expressed in the papers are those of the author(s) and do not necessarily reflect those of the Banco Central do Brasil. Government-driven credit had an important role in countervailing private credit crunch in Brazil during the recent financial crisis. However, government credit concessions continued to expand after the economy recovered. This paper investigates some important features of this expansion using a huge repository of loan contracts between banks and firms, composing an unbalanced panel of almost 1 million firms between 2004 and 2012. We show that earmarked funds have been particularly important for sectors intensive in positive social externalities. However, those sectors were not the main beneficiaries of the strong expansion in earmarked credit observed since the crisis. Our results also show that larger, older and less risky firms have benefited most from the government sponsored credit expansion. Additionally, although a higher access to earmarked credit tends to lead to higher leverage, the effect on investment appears to be insignificant for publicly traded firms. Since interest rates on earmarked loans are lower than the market interest rates, firms with higher access to this type of loan tend to lower cost of debt.
Synthesis and Comprehensive Analytical Study of β-Li3PS4 Stabilization by Ca- and Ba-Codoped Li3PS4

Sulfide-based solid electrolytes with high Li+ conductivity, such as Li3PS4, are key materials for the realization of all-solid-state Li+ batteries. One approach to achieving high Li+ conductivity is to combine crystalline-phase stabilization at high temperatures with the introduction of defects at room temperature. In this work, this approach was verified by codoping Li3PS4 with two kinds of divalent cations. The resulting structural changes were comprehensively investigated both experimentally and computationally. The high-temperature β-Li3PS4 phase of Li3PS4 could be stabilized at room temperature by adjusting the amount of Ca or Ba doping. The synthesized samples doped with divalent cations were found to have conductivities about 2 orders of magnitude higher than that of the γ-Li3PS4 phase at room temperature. The resultant Li+ conductivity at room temperature was also higher than that expected from interpolation of results for nondoped β-Li3PS4. It is believed that the structural changes produced by the divalent cation doping contribute to this increase in conductivity. The stability of the β-Li3PS4 phase with divalent cation doping was also demonstrated using density-functional-theory calculations for models with equivalent compositions to the synthesized samples. The Li+ positions obtained by structural optimization calculations showed the presence of diverse and disordered Li sites in the Ca-doped lattice. Such structural changes can contribute to cascade processes involving Li+ collisions, referred to as the “billiard-ball” mechanism, which cannot occur in nondoped β-Li3PS4. This series of experiments involving the synthesis and analyses of β-Li3PS4 with divalent cation doping provides a way to enhance Li+ conductivity through structural modification and optimization.
KOMUNIKASI KELOMPOK PURWOKERTO CREATOR ACADEMY DALAM INDUSTRI CONTENT CREATOR

Geliat perkembangan teknologi 4.0 mendorong tumbuh kembangnya industri content creator. Purwokerto Creator Academy merupakan komunitas yang dibentuk untuk mewadahi insan kreatif di Kota Purwokerto. Penelitian ini bertujuan untuk memahami interaksi dan komunikasi kelompok yang terbangun dalam komunitas Purwokerto Creator Academy. Subjek penelitian ini adalah 13 insan kreatif terpilih dan 5 orang inisiator. Proses penelitian dilakukan menggunakan metode kualitatif dengan pendekatan studi kasus. Pengumpulan data dilakukan melalui observasi, dokumentasi dan wawancara mendalam menggunakan purposive sampling pada anggota Purwokerto Creator Academy. Hasil penelitian menunjukkan bahwa rangkaian academy membuat anggotanya saling berkomunikasi guna menciptakan komunitas yang bergerak di bidang content creator. Komunikasi kelompok yang digunakan Purwokerto Creator Academy berbentuk mentoring, coaching dan practicing dalam proses academy. Perluasan kegiatan komunikasi yang terbangun membuat komunitas ini berkembang dalam bentuk lain yaitu agency. Perkembangan yang ada membuat perubahan peran dan status anggota. Komunitas ini cenderung menggunakan komunikasi kelompok secara tatap muka untuk saling bertukar ide kreatif dan menggunakan bahasa nonverbal dalam aktivitas kelompok berupa weekly meeting dan produksi konten kreatif. Keywords: komunikasi kelompok, purwokerto creator academy, content creator, kreatif.
Odonata of Wadi Bouarroug (northeastern Algeria), and environmental determinants of their distribution

The present paper describes odonates recorded over an extended period at wadi Bouarroug, south of lake Mellah, in the national reserve of Brabtia (North-east Algeria). In all, 42 weekly visits were made to four stations at wadi Bouarroug between March 2015 and February 2016. A total of 19 species of odonates comprising seven families (Calopterygidae, Lestidae, Plactycnemidae, Coenagrionidae, Gomphidae, Aeshnidae, Libellulidae) was recorded. Among the 19 species, autochthonous status was confirmed for 12 species. Two Maghrebian endemics species, Platycnemis subdilatata, Gomphus lucasii (“Data Deficient” species in the Mediterranean IUCN Red-List) were recorded. In the latest check-list of the odonates fauna of wadi Bouarroug, 11 species were reported,during 1993 and 1994. Eight species have been recently added ( Lestes virens, Erythromma lindinii, Erythromma viridulu, Paragomphus geneii, Onychogomphus uncatus, Crocothemis erythraea, Trithemis arteriosa, Trithemis annulata ) of which Paragomphus genei was recorded for the first time in the reserve of Brabtia in 2014 and its autochthonous status is confirmed at wadi Bouarroug from June 2015. Species richness along the wadi Bouarroug is positively correlated with density of riverine vegetation and with weak to moderate water flow during all the year. By contrast, species richness varies negatively with habitat fragmentation and the destruction caused by urbanization and pollution. As a result of this study, we do not propose any change of the "Red List of the IUCN" classification of the recorded species recorded at wadi Bouarroug. However, the presence of some taxa like Calopteryx haemorrhoidalis and Para gomphus geneii at wadi Bouarroug, testifies to the persistence of high-quality natural environments which are able to still support an important diversity of aquatic species.
The Neutrophil-to-Lymphocyte Ratio as a Biomarker in Cutaneous Oncology: A Systematic Review of Evidence beyond Malignant Melanoma

Simple Summary This systematic review concludes that a higher neutrophil-to-lymphocyte ratio (NLR), a robust indicator of adverse prognosis across the common metastatic cancers including malignant melanoma, is also a promising biomarker of tumor aggressiveness in all advanced stage non-melanoma skin cancers. A distinct exception with still inconclusive evidence is the cutaneous T-cell lymphoma, although there are some data indicating that higher NLR may predict poorer prognosis in patients with earlier stages mycosis fungoides. Finally, given the promising data concerning the impact of NLR as a prognosticator of the outcome of the treatment with the current immunotherapies, there is presently a need for studies focusing on the role of NLR in the framework of the treatment of advanced non-melanoma skin cancer. Abstract With the ongoing progress of basic research along with the introduction of new pharmaceutical options spanning almost all therapeutic areas, the need for biomarkers that will be implemented into the personalized medical approach is higher than ever. Their use can be incorporated into clinical practice and can be applied to the classification of disorders and the evaluation of disease severity but also to the monitoring of the progress of therapeutic/pharmaceutical interventions. This systematic review collects the findings of hematologic biomarkers in various cutaneous malignancies, excluding malignant melanoma, to support their potential use in the prognosis but also in the assessment of therapeutic strategies for the specific category of skin disorders.