Miracle-dz/UniFAR-FTUs huggingface dataset:
Macronutrient, immunoglobulin A and total antioxidant capacity profiles of human milk: cross-sectional surveys at ages 6, 12, 18 and 24 months.

Background: An extended duration of breastfeeding of up to two years is encouraged by many health authorities, but information regarding the composition of milk after one year postpartum is limited. The goal of this study was to determine the associations of macronutrient contents, immunoglobulin A (IgA) levels, and the total antioxidant capacity (TAC) in human milk (HM) with the month of lactation from 1 to 24 months postpartum.Methods: Milk samples were collected from mothers with healthy full-term children who had been lactating from 1 to 24 months from January 2019 to April 2019. The HM was biochemically analyzed for protein and carbohydrate contents by colorimetric assays. The fat content was determined by capillary centrifugation, and the energy content was calculated from the results of centrifugation assays. IgA levels and the TAC were determined by ELISA and a Trolox equivalent antioxidant capacity (TEAC) assay, respectively. Pearson’s correlation coefficient and Spearman’s rank correlation coefficient were used to determine associations between milk composition and the month of lactation, and multiple regression analysis was used to assess the association between the covariates and milk composition. Differences were considered significant at p < 0.05. Results: One hundred eighty-four milk samples were analyzed. The month of lactation was positively associated with the fat concentration (B = 0.31, SE = 0.09, p = 0.001), energy content (B = 3.11, SE = 0.92, p = 0.001), and IgA (B = 4.17, SE = 1.08, p < 0.001) but negatively associated with the carbohydrate concentration (B = -0.22, SE = 0.01, p = 0.04). No association was observed between the month of lactation and the protein concentration and TAC after adjustment for maternal age, maternal BMI, birth order, and breastfeeding frequency.Conclusions: The month of lactation was found to be positively associated with the fat, energy, and IgA in HM for up to two years postpartum and slightly but significantly negatively associated with carbohydrate concentration. More prospective cohort studies are needed to obtain evidence-based knowledge regarding the changes in HM composition throughout the course of lactation.
STABILIZATION OF BILAYER STRUCTURE FOR UNSATURATED PHOSPHATIDYLETHANOLAMINES BY DETERGENTS

The structural preferences of mixed lipid systems containing egg yolk or 18:1~/18:1, phosphatidylethanolamine and representative detergents (Triton X-100, deoxycholate, octylglucoside and lyso-phosphatidylcholine) have been examined. It is shown that all these detergents exhibit an ability to stabilize a bilayer organization for the phosphatidylethanolamine at detergent to phosphatidylethanolamine molar ratios of 0.05 to 0.5, depending on the detergent and/or phosphatidylethanolamine species. These results are interpreted in terms of molecular shape, where the 'inverted cone' shape detergents combine in a compit~mentary fashion with 'cone shaped' phosphatidylethanolamine to result in net bilayer structure.
Toxicity of azo dyes

Toksicna priroda azo bojila i amina kao njihovih degradacijskih produkata nakon visegodisnjih istraživanja prepoznata je, te se preko prihvacenih mehanizama degradacije može odrediti potencijal tosicnosti pojedinog bojila temeljen na njegovoj strukturi. Rasprava oko moguce zamjene sintetickih bojila prirodnim bojilima cesto nije utemeljena na znanstvenim cinjenicama, vec na pretpostavkama o toksicnosti sintetickih bojila i na sveopcem trendu upotrebe prirodnih proizvoda. Cilj rada je prikazati nacin određivanja potencijalne toksicnosti azo bojila temeljen na njihovoj molekulskoj strukturi.
ANALISIS KELEMBAGAAN PENGELOLAAN OBYEK WISATA PUNTHUK NGEPOH DI DESA BANJARARUM, KECAMATAN KALIBAWANG, KABUPATEN KULONPROGO

Obyek Wisata Punthuk Ngepoh berada di lahan hutan rakyat Desa Banjararum, Kecamatan Kalibawang, Kabupaten Kulon Progo yang dikelola oleh masyarakat. Tujuan dari penelitian ini adalah untuk mengidentifikasi karakteristik kelembagaan dan stakeholder yang berperan dalam pengelolaan Obyek Wisata Punthuk Ngepoh. Pengumpulan data primer dilakukan dengan metode kualitatif melalui wawancara mendalam terhadap stakeholder. Teknik penentuan sampel dilakukan dengan purposive sampling. Pengumpulan data sekunder dilakukan dengan memahami data yang berkaitan dengan data monografi desa dan arsip lembaga pengelola ekowisata. Hasil penelitian menunjukkan bahwa lembaga pengelola Obyek Wisata Punthuk Ngepoh adalah Pokdarwis Arum Jaya yang memiliki karakteristik kelembagaan berupa: 1) legalitas kelembagaan lengkap berupa SK Desa Banjararum dan SK Dinas Pariwisata Kabupaten Kulon Progo; 2) struktur organisasi yang dilengkapi dengan job description yang jelas; 3) peraturan internal berupa AD/ART 4) pemimpin yang demokratis; 5) program kerja yang disepakati berdasarkan rapat anggota; 6) mekanisme resolusi konflik yang telah disepakati anggota. Stakeholder dan perannya dalam pengelolaan Obyek Wisata Punthuk Ngepoh adalah Pokdarwis Arum Jaya sebagai pengelola utama, Pemerintah Desa Banjararum sebagai pembina dan fasilitator, Dinas Pariwisata Kabupaten Kulon Progo sebagai pembina, regulator, dan fasilitator, pemuda Desa Banjararum sebagai penggerak dan inovator perintisan wisata, Sekolah Vokasi UGM sebagai pendamping pengembangan wisata berupa bantuan dana untuk pengembangan fasilitas wisata, Kepala Dukuh Brajan sebagai penasehat, pengunjung wisata sebagai media promosi wisata, dan pemilik lahan sebagai penyedia lahan untuk wisata.
Complementary information provided by simultaneous sequencing of CTC, cfDNA and metastatic tissue in endocrine-resistant metastatic breast cancer

Background: Endocrine resistance is a major cause of therapeutic failure in metastatic breast cancer (MBC). The information provided by DNA sequencing of plasma cell free DNA (cfDNA) and by the analysis of circulating tumor cells (CTC) may be useful to determine the occurrence and type of endocrine resistance. However, different levels of concordance between cfDNA and CTC, and also between liquid biopsy and tissue biopsy, have been reported. Thus, the best strategy for performing DNA sequencing in the setting of therapeutic decisions for luminal MBC patients is not well defined. The purpose of this study was to determine the concordance between DNA sequencing data from CTC, cfDNA, metastasis, and primary tumor in endocrine-resistant luminal MBC.Methods: Using the same panel (10 genes) we performed simultaneous sequencing of cfDNA, CTC, metastases and primary tumor in 38 patients with luminal MBC. CTC isolation was performed with an Epcam-based immunomagnetic system. Concordance of DNA sequencing data of the different types of sample was analyzed and correlated with clinical data. Results: CTC were detected in 21% of the patients. The rate of detection of genetic alterations was 87.5% for CTC, 61.5% for cfDNA, 63.2% for metastasis and 67.7% for primary tumor, and involved mainly TP53, PIK3CA, ESR1 and AKT1. A higher number of mutations was found in cfDNA of MBC patients with progressive disease (p=0.02) and the same trend was observed for endocrine resistance (p=0.08), especially for PIK3CA, ESR1 and AKT1 mutations. Global concordance was low to intermediate between CTC and cfDNA, but significantly higher between CTC and metastasis. Concordance also varied according to the specific genetic alteration, with no ESR1 mutations detected in CTC and with a low concordance for PIK3CA and AKT1 mutations between CTC and cfDNA samples.Conclusions: DNA sequencing of different types of tumor samples (cfDNA, CTC, metastasis and primary tumor) may provide different rates of genomic alterations detection in luminal endocrine-resistant MBC. A moderate to low concordance, with discordances depending both on the clinical situation and on the sequenced gene, support the complementarity of the different samples, with cfDNA and metastatic tissue as the preferred sources of tumor DNA.
Synthèse et caractérisation de nanomatériaux hybrides innovants pour le biomédical

Depuis quelques decennies, les nanomateriaux et tout particulierement les nanoparticules d’oxyde de fer (magnetite/maghemite) superparamagnetiques ont connus un interet croissant en nano-medecine. Leur biocompatibilite et leurs proprietes magnetiques permettent notamment leur utilisation a des fins de diagnostic (IRM, Imagerie optique et nucleaire…) et de therapie (Hyperthermie, nano vectorisation…). Au cours de cette these, la premiere etape a consiste a etudier en details l’influence de plusieurs parametres de synthese sur les proprietes finales des nanoparticules d’oxyde de fer magnetique. Cette etude avait pour but de developper et d’optimiser une methode de synthese derivee de la methode de synthese classique dite de co-precipitation mais modifiee par ajout de ligand citrates au cours de la synthese. Des nanoparticules d’oxyde de fer d’une taille pouvant etre controlee entre 4 et 13 nm recouvertes par une couronne de ligands citrates ont ainsi ete synthetisees, celles-ci presentent une aimantation a saturation atteignant jusqu’a 75 emu/g d’oxyde de fer qui est une valeur particulierement haute pour des nanoparticules de cette taille. Tout au long de ce travail, la caracterisation de ces nanoparticules par un panel etendu de techniques (MET, DRX, Mossbauer, IRTF, XPS, mesures magnetiques, DLS …) a permis notamment d’etudier de facon precise les relations existantes entre la taille, le taux de ligand, la composition et les proprietes magnetiques des nanoparticules synthetisees. Ces nanoparticules fonctionnalisees par des citrates ont ensuite ete testees en milieu biologique afin d’evaluer leur internalisation dans les cellules et leur cytotoxicite. Dans un deuxieme temps, d’autres travaux ont ete menes sur les nanoparticules d’oxyde de fer. Notamment le remplacement des ligands citrates par un polymere bio-inspire pouvant, selon les fonctions chimiques qui lui sont adjointes, avoir de multiples applications dans le domaine biomedical
Reconstructing the Initial Human Occupation of the Northern Tibetan Plateau

(1) University of Texas, Texas Archaeological Research Laboratory, 137 Garrett St., Austin, United States (dmadsen@austin.rr.com), (2) Department of Anthropology, 341 Haines Hall, University of California at Los Angeles, Los Angeles, CA 90095, USA, (3) Qinghai Salt Lakes Institute, Xining, 18 Xinning Rd., Xining, 810008, PR, (4) Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA, (5) School of History, Renmin University, 59 Zhongguan St., Beijing, 100872, PRC, (6) Department of Anthropology, Arizona State University, Tempe, AZ 85207, USA
Fake news and misinformation detection on headlines of COVID-19 using deep learning algorithms

This paper proposed a deep learning algorithm system to fulfil fake news and misinformation detection on COVID-19 related headlines. Long short-term memory (LSTM), convolutional neural network (CNN) and Deep belief networks (DBNs) are performed in order to determine the optimal algorithm. Based on the model performance measures, such as accuracy, AUC score, and F1 score, this study figures out the optimal models, which are CNN and LSTM with an accuracy of up to 94%, for the COVID-19 fake news detection. Finally, this paper provides an algorithm-based ranking method for mainstream media credibilities. The result indicates that mainstream media channels in the US are reliable for reporting the COVID-19 related news and information.
INFORMATION AND USER: SOCIAL MEDIA LITERACY IN DIGITAL SOCIETIES

The information flow in digital societies is discussed and analyzed for more than a decade with a close watch on social media networks. The shift from traditional forms of communication to social media enables users to gratify their daily needs of information digitally. The current paper builds on narrative analysis of selected social media active users and their digital social engagement to understand how a user and a network of users engagement with information. To understand the role of social media literacy, the current paper interviews the users and correlated the findings with contemporary literature on social media. The results show that social media literacy becomes the pillar of the information system, but it works in the micro-level of societies at the crossroads of online and offline spaces.
Living with Chronic Illness Scale: Validation in a Type 2 Diabetes Mellitus Population

Background: Worldwide, type 2 diabetes mellitus (T2DM) is one of the most prevalent chronic diseases and one of those producing greatest impact on patients’ day-to-day quality of life. Our study aim is to validate the “Living with Chronic Illness Scale” for a Spanish-speaking T2DM population.Methods: In this observational, international, cross-sectional study, 582 persons with T2DM were recruited in primary health care and outpatient hospital consultations, in Spain and Colombia, during the period from May 2018 to June 2019. The properties analysed were feasibility/acceptability, internal consistency, reliability, precision and (structural) content-construct validity. The COSMIN checklist was used to assess the methodological/psychometric quality of the instrument.Results: The instrument has adequate internal consistency and test retest reliability (Cronbach’s alpha = 0.90; intraclass correlation coefficient = 0.96, respectively). In addition, the instrument is accurate (standard error of measurement = 3.34, with values <½SD = 8.52 considered acceptable) and correlates positively with social support (DUFSS) (rs = 0.56), quality of life (WHOQOL) (rs = 0.51-0.30) and satisfaction (SLS-6) (rs = 0.50-0.38). The questionnaire discriminates by the level of severity of the illness (Patient Based Global Impression of Severity Scale), associating lower values with greater severity, and also by male gender. The COSMIN checklist is favourable for all the properties analysed, although some weaknesses are detected for content validity.Conclusions: “Living with T2DM” (LW-T2DM) is a valid, reliable and accurate instrument for use in clinical practice to determine how a person’s life is affected by the presence of diabetes. This instrument correlates well with the associated constructs of social support, quality of life and satisfaction. Additional research is needed to determine how well the questionnaire structure performs when robust factor analysis methods are applied.
Influence of wall material on production of spray dried Lactobacillus plantarum NRRL B-4496 and its viability at different storage conditions

ABSTRACT The objectives of this study were to evaluate the spray drying conditions to produce Lactobacillus plantarum powders and to investigate their viability at different storage conditions. L. plantarum NRRL B-4496 was spray dried with high maize starch, maltodextrin, or gum arabic and stored under 97 and 10% vacuum at refrigerated (4°C) and room (23°C) temperatures. Probiotic solutions mixed with the different wall materials had different mass flow rates (kg/h) which produced as a result different evaporation rate values for the production of the probiotic powders. High maize starch and gum arabic were better protective agents than maltodextrin. L. plantarum encapsulated with high maize starch, packed under 97% vacuum, and stored at refrigerated temperature maintained the highest cell viability during 60 days of storage (0.14 log reduction).
Spray-flamelet approach by means of a monotonic cumulative mixture fraction variable

The external structure of the spray-flamelet can be described using the Schvab-Zel’dovich-Liñan formulation. The mixture-fraction variable Z normally employed for the description of gaseous diffusion flames leads to nonmonotonicity behavior for spray flames due to extra fuel supplied by vaporization of droplets distributed into the flow. Therefore, spray flames depend not only on Z and the scalar dissipation rate, but also on the spray source term. Since the mixture fraction is locally normal to the surface of stoichiometric mixture, its cumulative value, ZC = ∫ z −∞ Z(t)dt/Z T C , can also be considered as a coordinate variable that guarantees monotonicity. This new quantity includes spatial information about the whole mixture fraction due to gaseous phase and droplet vaporization. For pure gaseous flow, the well-established description in terms of Z is recovered. The spray-flamelet structure and the new equations of temperature and mass fractions in terms of ZC are derived. The proposed formulation is applied in a counterflow configuration. The numerical results are obtained for ethanol spray and presented for the temperature and mass fractions in terms of ZC . The accuracy of the results confirms the validity of the proposed formulation.
The Impact of M1775K Variant in BRCA1 Regulation

The missense mutations of the BRCT domain of human BRCA1 have been argued to be associated with predisposition to hereditary breast/ovarian cancer. Mutations at the C-terminus of the protein are critical for function and structural excellence. This mutation has been associated with changes in the structure of the protein and loss of interaction with other peptides involved in cell cycle control. In previous studies we have shown that the modification of various mutants in BRCT domain, such as Met1775K is strongly affecting the functional and structural integrity of the domain and the binding affinity with phospopeptides. In the present study we have attempted to determine the effect of the M1775K mutation on the intracellular localization of the protein. For this purpose, GFPBRCA1-BRCT M1775K mutant was created and expressed in MCF-7 cell lines. Due to fluorescence microscopy determined that the mutation affects the protein’s mislocalization in relation to wtBRCA1-BRCT protein. Mutant EGFP-BRCA1-BRCT M1775K form is mainly determined in the cytoplasm in contrast to the EGFPwtBRCA1-BRCT protein that localizes into nucleus and cytoplasm. Cytoplasmic mislocalization of M1775K mutation, presented here, may be related to disruption of BRCA1-BRCT folding. The M1775K mutation influences the nuclear transport of BRCA1-BRCT domain to the nucleus, suggesting that the impact of the integrity of the BRCA1-BRCT domain is crucial in functional and structural level.
The Development of Analytical Method for the Determination of Azelaic Acid Content in Cosmetic Cream Products

Azelaic acid is one of the substances that has anti-acne and skin lightening effects which is often added to cosmetics. In the acne treatment, the azelaic acid is generally used with a concentration of 20% in cream formulation and 15% in gel. The use at concentrations below 10% is not recommended because it does not work effectively. While the use of above 10% is categorized as a medical treatment. In Indonesia, the Head of the National Agency of Drug and Food Control (BPOM) has issued Regulation No. 18 of 2015 on the Technical Requirements of Cosmetics Ingredients Annex V stating that the azelaic acid is banned in cosmetics. However, until this research began the BPOM has not had a valid method to identify it in cosmetics. Consequently, surveillance of such ingredient in products is hard to do. In this research, the fatty acid standard analysis method of AOAC International was modified and validated to be used in the laboratory. The method of analysis involves heating the cream preparations dissolved with methanol and then added BF3-methanol catalyst, followed by extraction and analysis using GCMS. The validation of method shows that the calibration curve is linear with correlative value of 0.9997. The method is fairly sensitive with 0.02% detection limit, and fairly precision with relative standard deviation (RSD) of between 0.626-0.961% and fairly accurate which the recovery percentage is 99.85% at range 98.27-100.72%. In sum the results demonstrate that the method can be used as a routine analysis method for laboratory testing.
Indoor Scene Semantic Segmentation Based on RGB-D Image and Convolution Neural Network

In recent years, convolutional neural network has been widely used in image semantic segmentation and achieved great success. In this paper, a semantic segmentation network of indoor scene based on rgb-d image is proposed: SRNET (Strong supervision Residual Net). In this network model, the original data is processed by separate training and gradual fusion, and the mandatory supervision module is added in the decoding stage, which effectively improves the accuracy of semantic segmentation. At the same time, anti residual decoding method and jump structure are introduced to reduce information loss. Experimental results show that the segmentation accuracy of this model is better than most of the current segmentation algorithms.
Quantifying Efficiency Loss of Perovskite Solar Cells by a Modified Detailed Balance Model

A modified detailed balance model is built to understand and quantify efficiency loss of perovskite solar cells. The modified model captures the light‐absorption‐dependent short‐circuit current, contact and transport‐layer‐modified carrier transport, as well as recombination and photon‐recycling‐influenced open‐circuit voltage. The theoretical and experimental results show that for experimentally optimized perovskite solar cells with the power conversion efficiency of 19%, optical loss of 25%, nonradiative recombination loss of 35%, and ohmic loss of 35% are the three dominant loss factors for approaching the 31% efficiency limit of perovskite solar cells. It is also found that the optical loss climbs up to 40% for a thin‐active‐layer design. Moreover, a misconfigured transport layer introduces above 15% of energy loss. Finally, the perovskite‐interface‐induced surface recombination, ohmic loss, and current leakage should be further reduced to upgrade device efficiency and eliminate hysteresis effect. This work contributes to fundamental understanding of device physics of perovskite solar cells. The developed model offers a systematic design and analysis tool to photovoltaic science and technology.
Community Assembly as the Basis for Species Selection for Tropical Forest Restoration in Global Change Scenario

Background Tropical forests hold high biodiversity, which challenges the selection of species for forest restoration. For a site-specific restoration is required the understanding of the main influences ruling the assemblages. We aimed to answer three questions. 1) how do environmental variables influence taxonomic, phylogenetic diversities, and the phylogenetic structure in the of Rio Doce Basin (TFRD)? 2) How do environmental variables, phylogenetic structure and the main types of seed dispersal relate to each other? 3) Which information of the TFRD assemblages can be used for ecological restoration and conservation in global change scenario? We used 78 sites with their checklists to calculate taxonomic, and phylogenetic diversities, phylogenetic structures, and dispersal proportions. Then, we related the diversities of the sites to their bioclimatic variables and built GLM models.Results Species richness was influenced negatively by water excess duration, by water deficit duration, and positively by maximum temperature, and temperature seasonality. Water regime drives diversity and phylogenetic community structure in the TFRD more than other variables. Annual precipitation and maximum temperature presented the clearer influences on diversity and phylogenetic structure. Zoochory was positively, and anemochory, autochory were negatively related to sesMPD. Conclusions By choosing the lineages with high fitness for each site, the functioning and the stability of ecosystems should increase. The addition of species with anemochory and autochory increases functional and phylogenetic diversity in areas with extreme water excess or water deficit, important in a global change scenario. A high proportion of zoochory allows the communities to function conserving dispersers, biodiversity, and services.