Miracle-dz/UniFAR-FTUs huggingface dataset:
IDENTIFIKASI MORFOMETRI DAERAH ALIRAN SUNGAI DENGAN ANALISIS DIGITAL ELEVATION MODEL SRTM (DEM SRTM) MENGGUNAKAN SOFTWARE ARCGIS 10.3 ( Studi Kasus: DAS Way Sekampung )

Pada era teknologi yang berkembang pesat sekarang ini, metode yang digunakan untuk menganalisis daerah aliran sungai (DAS) semakin berkembang pesat sesuai perkembangan teknologi. Salah satu bukti perkembangan metode yang digunakan untuk menganalisis DAS yakni dengan memanfaatkan SIG ( Sistem Informasi Geografi ) sehingga analisis dari pengolahan data spasial dapat dilakukan lebih mudah, efisien, dan ekonomis. Salah satunya yakni analisis morfometri DAS di mana menurut (Supangat, 2012) morfometri DAS sendiri merupakan karakteristik dasar alami suatu DAS. Analisis morfometri DAS yang memanfaatkan sistem informasi geografis dan data dasar atau model berupa DEM pada dasarnya bertujuan untuk mengidentifkasi parameter kuantitatif DAS yang dianalisis seperti yang telah disebutkan seperti, luas, keliling, dan batas DAS. Penelitian dilakukan untuk mengidentifikasi morfometri daerah aliran sungai ( DAS ) Way Sekampung, menggunakan data DEM SRTM (Digital Elevation Model Shuttle Radar Thopography Mission) yang mana data tersebut kemudian di analisis menggunakan software ArcGIS 10.3. Hasil dari analisis kemudian direkap sebagai hasil untuk menjawab permasalahan pada penelitian ini. Dari hasil dari analisis yang telah dilakukan, diperoleh hasil parameter morfometri DAS Way Sekampung yaitu luas sebesar 4795.73 km2 dengan keliling sepanjang 621.91 km . Untuk parameter morfometri sungai diperoleh panjang sungai utama Way Sekampung sebesar 189.99 km dengan koordinat di hulu sungai adalah x = 475251.030 m dan y = 9419393.882 m serta koordinat di hilirnya adalah x = 590844.999 m dan y = 9379076.134 m. Data morfometri DAS Way sekampung hasil analisis tersebut kemudian dibandingkan dengan data dari BPDASHL Way Seputih Sekampung. Dan untuk data mormofetri sungai dibandingkan dengan data dari BIG ( Badan Informasi Gospasial ). Hasilnya menunjukan bahwa data DEM SRTM memiliki akurasi sebesar 93.69 % dalam mengidentifikasi morfometri DAS.
Modelling the effect of sowing date on the emergence, silking and yield of maize (Zea mays L.) in a moderately warm and dry production area

This research focused on accurately modelling emergence (VEEmergence) and silking (R1) dates using 5 cm deep soil temperature (ST) and how sowing date (SD) affects VEEmergence and R1 date of different maturity hybrids and which is the optimum sowing date in the changed climate. Three sowing dates were used between 4th April and 10th May. The same maize hybrids (FAO 290, FAO 350, FAO 420) were involved in the experiment between 2011–2013. The 5 cm deep soil temperature could be used for simulating the date of VEEmergence and R1 and the Percentage of Predicted Deviation (PD) was below 10%. When calculating the effective heat units (HU) at 5 cm depth, setting 6 °C as base temperature leads to better modelling. SD did not clearly affect yield since due to the influence of genotype and crop years. The FAO 290 hybrid had the lowest yield (11.534 t ha) and it responded sensitively to sowing date. Its highest yield (12.788 t ha; P < 0.05) could be obtained with SD3. FAO 350 and FAO 420 hybrids provided stable yields without any significant effect of SD. The highest yield was provided by the FAO 420 hybrid (13.494 t ha) with a wide SD interval (4th April – 10th May). The obtained findings help farmers in making grounded decisions to obtain high and stable yield under the changed climatic circumstances. The obtained findings help farmers in making grounded decisions to obtain high and stable yield under the changed climatic circumstances.
Association of OLR1 Polymorphism with Lipid Profile Levels and lipid ratio of Iraqi Awassi Ewes

sheep and is consisting of 6 Abstract | Oxidized low-density lipoprotein receptor 1 (OLR1) is the major scavenger endothelial receptor that is involved in the binding and degradation of oxidized low-density lipoproteins (Ox-LDL), hence it is responsible in controlling lipid metabolism. Genetic polymorphism in the OLR1 gene is associated with the variation in Ox-LDL of livestock. Therefore, this study aimed to investigate the association of OLR1 polymorphism with the lipid profile levels in Awassi ewes. A total of 200 sexually mature ewes, non-pregnant and non-lactation, aged between 2.5 to 5 years were included in this study. Blood samples were collected from the sheep for extracting genomic DNA, genotyping and the sequencing reaction were subsequently used to confirm the variants in amplified fragments. Blood sera were harvested to determine lipid profile assay. The result referred to the significant differences (P < 0.05) in total cholesterol, HDL-c, LDL-c levels and lipid ratio between the CC genotype compared to the CA genotype. The genotype CC correlated positively with total cholesterol (r= 0.51, P= 0.02), HDL-c (r= 0.63, P= 0.02) and negatively with LDL-c (r= -0.34, P= 0.03), TC/HDL-c (r= -0.43, P= 0.01), LDL-c/HDL-c (r= -0.38, P= 0.04), LDL-c/ TG (r= -0.58, P= 0.02), and TG/ HDL-c (r= -0.64, P= 0.02). Sheep with the CC genotype had higher levels of total cholesterol and HDL-c but lower levels of LDL-c and lipid ratio thus are more favored for human consumption. In conclusion, OLR1 gene has a key functions in the regulation of lipid metabolism and affect many economic traits. Based on these outcomes, OLR1 gene represented one of the important candidate genes for fat deposition-related traits in livestock.
The impact of nutrition optimization on crop yield and grain quality of spring barley varieties (Hordeum vulgare L.)

Saabunud / Received 31.03. 2021 ; Aktsepteeritud / Accepted 21.06. 2021 ; Avaldatud veebis / Published online 22.06. 2021 ; Vastutav autor / Corresponding author: Antonina Panfilova panfilovaantonina@ukr.net
Comparing the Effects of Acceptance and Commitment Group Therapy and Social Skills Training on Metacognition, Self-Esteem, Self-Focused Attention, and Social Phobia

Author Address 1. PhD Student of Psychology, Department Psychology, Borujerd Branch, Islamic Azad University, Borujerd, Iran; 2. PhD in Clinical Psychology, Department Social Medicine, Khoram Abad Branch, Lorestan University of Medical Sciences, Khoramabad, Iran; 3. PhD in Educational Psychology, Department Psychology, Borujerd Branch, Islamic Azad University, Borujerd, Iran. *Corresponding author’s email: farhadi@lums.ac. ir
 A Qualitative Examination of the Preparedness of African American Pastors to Address Issues of Addictions

This study qualitatively explored the preparedness of African American pastors to meet the needs of parishioners with addictions. Findings indicated that African American pastors do not always perceive themselves to be prepared to address issues of addiction, and existing cultural barriers challenge collaboration between human services practitioners and African American pastors. Findings also revealed that despite existing cultural barriers, African American pastors are willing to collaborate with professionals who offer educational opportunities in culturally relevant ways. Human services professionals’ ability to understand cultural nuances of African American pastors is of paramount concern to effectively enhance the quality of life for clients utilizing faith-based interventions to meet the needs of individuals with addiction. Recommendations for strategies for human service professionals to build collaborations with pastors of African American churches are provided.
An Enhanced Time-Delay-Based Reference Current Identification Method for Single-Phase System

This article proposes an enhanced time-delay-based current component identification method for single-phase systems to overcome the absence of filtering and poor grid frequency response of conventional method. The proposed technique integrates a delayed signal cancellation with a time-delay unit, to incorporate a dc offset rejection feature, while maintaining speedy and precise extraction of orthogonal current components. The frequency adaption is also developed through the incorporation of linear interpolation. The dynamic and steady-state performance of the proposed method is analyzed and compared with two advanced second-order generalized integrator (SOGI) based methods, namely, modified SOGI and cascaded SOGI under different operating scenarios. The simulation and experimental results substantiate the advantage of zero steady-state error and lower settling time of the proposed solution while exhibiting comparable overshoot with advanced SOGI-based methods.
Supplemental Material for “Nurturing Parents”–Mindfulness-Based Parent Well-Being Group in Pediatric Cystic Fibrosis

Objectives: Parents of a child with Cystic Fibrosis (CF) are at increased risk of anxiety and depression. We examine the feasibility and acceptability of Nurturing Parents (NP) mindfulness-based parent well-being group in CF using a mixed methods design. NP is an 8 week group designed to help parents cultivate 1) resilience to stress, 2) kindness towards themselves, and 3) awareness of self when communicating. Methods: Mothers (N = 12) rated individual and group goals and completed measures of dispositional mindfulness, interpersonal mindfulness in parenting, anxiety, depression, and parenting stress, pre-NP and post-NP. Qualitative data from semi-structured interviews were analyzed using thematic analysis. Results: Participants who completed the NP group (n = 9; 75%) reported improvements post-NP in dispositional and interpersonal mindfulness and in at least one group goal. Clinically significant improvements were found for mothers reporting pre-NP anxiety (n = 2) or depression (n = 2) in the clinical range. Qualitative themes included: 1)gaining self-awareness and choice, 2) connection to others not defined by CF, and 3) validating self-care. Conclusions: Mothers reported psychological benefits of NP group and preferences that may promote retention. Findings may inform clinical practice. A future pilot trial of efficacy in CF may be feasible.
A Size-Matching Strategy to Differentiate Flexible Conformers for the Discovery of Novel Cages with Twin Cavities

Considerable efforts have been made to characterize the meaningful conformers that a molecule can adopt, which is of great significance for understanding the structure-property correlation in the fileds of molecular biology, drug discovery, catalysis, materials science, etc. It is however challenging to differentiate and make use of the flexible conformers in solution, as they often experience rapid interconversion due to low isomerization barrier. We herein present a novel yet simple size-matching strategy for conformation identification. As a proof of concept, we rationally designed a three-dimensional model compound, namely hexaformyl molecule 1 exhibiting two types of conformers, i.e. Conformer-1 and -2 with different cleft positions and sizes. Aided by DFT calculations, we selected two triamino conformation capturers (denoted CC). Small-sized CC-1 selectively captured Conformer-1 by matching its cleft size, while large-sized CC-2 was able to match and capture both conformers. It therefore allowed facile differentiation of the two conformations by conventional NMR and X-ray analyses. These two erstwhile inverconverting and indistinguishable conformational isomers were made use of, leading to the discovery of two novel configurational isomers, namely two novel cage-like compounds with twin cavities, one exhibiting a sandglass-shaped and another with a dumbbell form, which we coined diphane.
Temporal and spatial variability of phytoplankton and mixotrophs in a temperate estuary

: A significant proportion of phototrophic species are known to be mixotrophs: cells that obtain nutrients through a combination of photosynthesis and prey ingestion. Current methods to estimate mixotroph abundance in situ are known to be limited in their ability to help identify conditions that favor mixotrophs over strict autotrophs. For the first time, we combine microscopic analysis of phototrophic taxa with immunoprecipitated bromodeoxyuridine (BrdU)-labeled DNA amplicon sequencing to identify and quantify active and putative mixotrophs at 2 locations in a microtidal temperate estuary. We analyze these data to examine spatial and temporal variability of phytoplankton and mixotrophs. Microscopy-based phototrophic diversity and abundances reveal expected seasonal patterns for our 2 stations, with the start of growth in winter and highest abundances in summer. Diatoms tend to dominate at the site with less stratification, while dinoflagellates and euglenids are usually more prominent at the stratified station. The BrdU-based mixotroph identifications are translated to the microscopy identification and abundances to estimate the proportion of mixotrophs (cells >10 μm in size) at both sites. The average proportion of potential mixotrophs is higher at the station with higher stratification (51%) compared to the station with lower stratification (30%), and potential mixotrophs tend to be higher in summer, although we did not conduct BrdU experiments in any of the other seasons. Combining the identification of active mixotrophs through the uptake of BrdU-labeled bacteria with robust abundance measurements can expand our understanding of mixotrophs across systems.
Reference Genes for Quantitative qPCR Analyses in Monocytes of Septic Patients

Background: Monocytes and macrophages are essential components of the innate and adaptive immune responses and play a critical role in sepsis. Sepsis is a life-threatening organ dysfunction associated with an unregulated host response to infection. About 20 million people develop sepsis annually, and up to 50% die. There is a lack of studies regarding human monocytes and sepsis. This study aimed to determine the most stable internal gene (s) to investigate gene expression in monocytes/macrophages of septic patients.Methods: The expression stability of fifteen commonly used reference genes was analyzed by determining the comparative threshold cycle (Ct) values, using the BestKeeper, GeNorm, and NormFinder algorithms.Results: BestKeeper analysis revealed that the syntaxin 5 (STX5A) and hypoxanthine phosphoribosyltransferase 1 (HPRT1) genes were highly stable. GeNorm pointed out STX5A and phosphoglycerate kinase 1 (PGK1) as the most suitable combination whereas through NormFinder glyceraldehyde 3- phosphate dehydrogenase (GAPDH) and 14-3-3 zeta/delta protein (YWHAZ) was the most stable combination. All programs analysis discarded the use of heterogeneous nuclear ribonucleoprotein A/B (HNRNPAB). GeNorm and NormFinder indicated actin-beta (ACTB) as the least stable gene.Conclusions: The combined data indicated that STX5A, PGK1, GAPDH, and HPRT1 are highly suitable reference genes for qPCR analysis of septic patients monocytes. In the case of choosing one single reference gene, the results point out to STX5A (first place by GeNorm and BestKeeper and third place by NormFinder). This study is the first report on reference genes in monocytes/macrophages from septic patients.
An Examination of the Catalyst for Tapping into Mobile Financial Services in the Post-COVID-19 World

Amid the widespread impact of COVID-19, mobile financial services (MFS) have experienced extensive requests due to the failure to perform physical installments and the need for secure transactions. This trend cannot end the utility of cash but it may promote portable monetary administration toward a cashless world. MFS is anticipated to have a bright future as m-commerce increasingly becomes widely known. This study proposes the choice of making a trial and assessment research facility by using a fuzzy model as the most expository device. General forms of a triangular fuzzy number are subjective categories for a linguistic variable. Linguistic variables take on values defined in their term set, that is, the set of linguistic terms. The essential components, including personal innovativeness, transaction completeness, user-friendliness, anonymity, and privacy, are causal competitive advantages of the mobile payment system framework and may play a critical part in reacting to MFS. This study shows that transaction completeness, innovative interface design, privacy, and security facilitate MFS adoption. Furthermore, reliability is necessary to enhance trust in the MFS technology. This study draws on the outcomes of administrative suggestions and recommends a few observational strategies to improve the monetary administration in the MFS industry.
Comparison of the Pathological Response and Adverse Effects of Oxaliplatin and Capecitabine versus Paclitaxel and Carboplatin in the Neoadjuvant Chemoradiotherapy Treatment Approach for Esophageal and Gastroesophageal Junction Cancer: A Randomized Control Trial Study

Background: Neoadjuvant chemoradiation is one of the main treatment approaches in esophageal cancer treatment, which can improve outcomes of a patient with esophageal cancer. In the current study, we aimed to compare the response rate and side effects of 2 distinctive neoadjuvant chemoradiation protocols. Methods: The study was a randomized clinical trial that was performed on 70 patients with esophageal and gastroesophageal junction cancer in Iran. The study participants were randomly assigned to 1 of our treatment groups. The first group received capecitabine (625 mg/m2/TID) and oxaliplatin (50 mg/m2/weekly), while the second group was given a combination of carboplatin (AUC:2/weekly) and paclitaxel (75mg/m2/weekly). Both groups were given weekly 50.4-54 Gy dose of RT. Chi square and Fisher exact tests have been used for data analysis. All statistical tests were performed using SPSS software Version 22.0 and the significance level was set at 0.05. Results: Complete pathological response was detected in 18(51.4%) of patients in group I and 8 (22.8%) in group II (p=0.013). We also observed higher thrombocytopenia in CarTax arm 19 (54.2%) in comparison to CapOX arm 8(22.8%), and the difference was statistically significant (p=0.007). No statistical difference was found regarding neutropenia, fatigue, anorexia, esophagitis, and diarrhea. Conclusion: The CapOxRT regime provides more favorable outcomes and also it is more tolerated by patients.
A Novel Linear Calibration Model for Three-Axis Fluxgate Magnetometer

With low cost, simple structure and high accuracy, the three-axis fluxgate magnetometer (TFM) has been frequently used in many fields. However, the systematic errors are a major obstacle to the performance of TFM. Based on Taylor expansion and Cholesky decomposition, a new linear error calibration model is proposed from the general error model of TFM. In our new model, the parameter matrix can be decomposed to two parts: one is completely equivalent to the parameter matrix of the traditional linear model, and the other is a matrix containing second-order terms composed of error parameters, which was neglected in the traditional linear model. Thus, compared with the traditional model, our new linear model can acquire better calibration performances. In simulations, the functional link artificial neural network algorithm is provided to solve the model parameters. Simulation results show that the new model improves the calibration effect by 32.9 to 33.8% compared with the existing linear calibration model. After that, a single three-axis fluxgate magnetometer experimental platform is set up and related physical experiment is carried out. The results further prove the advantages and the practical value of the proposed model. Compared with the reference method, the effect is improved by 79.3%. The conclusions of this paper can expand the linear calibration method of three-axis magnetometer and improve the accuracy of such methods.
Design of Efficient Human Head Statistics System in the Large-Angle Overlooking Scene

Human head statistics is widely used in the construction of smart cities and has great market value. In order to solve the problem of missing pedestrian features and poor statistics results in a large-angle overlooking scene, in this paper we propose a human head statistics system that consists of head detection, head tracking and head counting, where the proposed You-Only-Look-Once-Head (YOLOv5-H) network, improved from YOLOv5, is taken as the head detection benchmark, the DeepSORT algorithm with the Fusion-Hash algorithm for feature extraction (DeepSORT-FH) is proposed to track heads, and heads are counted by the proposed cross-boundary counting algorithm based on scene segmentation. Specifically, Complete-Intersection-over-Union (CIoU) is taken as the loss function of YOLOv5-H to make the predicted boxes more in line with the real boxes. The results demonstrate that the recall rate and mAP@. 5 of the proposed YOLOv5-H can reach up to 94.3% and 93.1%, respectively, on the SCUT_HEAD dataset. The statistics system has an extremely low error rate of 3.5% on the TownCentreXVID dataset while maintaining a frame rate of 18FPS, which can meet the needs of human head statistics in monitoring scenarios and has a good application prospect.
Determinants of Use of the Care Information Exchange Portal: Cross-sectional Study

Background Sharing electronic health records with patients has been shown to improve patient safety and quality of care. Patient portals represent a convenient tool to enhance patient access to their own health care data. However, the success of portals will only be possible through sustained adoption by its end users: the patients. A better understanding of the characteristics of users and nonusers is critical for understanding which groups remain excluded from using such tools. Objective This study aims to identify the determinants of the use of the Care Information Exchange, a shared patient portal program in the United Kingdom. Methods A cross-sectional study was conducted using a web-based questionnaire. Information collected included age, gender, ethnicity, educational level, health status, postcode, and digital literacy. Registered individuals were defined as having had an account created in the portal, independent of their actual use of the platform; users were defined as having ever used the portal. Multivariate logistic regression was used to model the probability of being a user. Statistical analysis was performed in R and Tableau was used to create maps of the proportion of Care Information Exchange users by postcode area. Results A total of 1083 participants replied to the survey (186% of the estimated minimum target sample). The proportion of users was 61.58% (667/1083). Among these, most (385/667, 57.7%) used the portal at least once a month. To characterize the system’s users and nonusers, we performed a subanalysis of the sample, including only participants who had provided at least information regarding gender and age. The subanalysis included 650 individuals (389/650, 59.8% women; 551/650, 84.8% >40 years). Most participants were White (498/650, 76.6%) and resided in London (420/650, 64.6%). Individuals with a higher educational degree (undergraduate and professional, or postgraduate and higher) had higher odds of being a portal user (adjusted odds ratio [OR] 1.58, 95% CI 1.04-2.39 and OR 2.38, 95% CI 1.42-4.02, respectively) compared with those with a secondary degree or below. Higher digital literacy scores (≥30) were associated with higher odds of being a user (adjusted OR 2.96, 95% CI 2.02-4.35). Those with a good overall health status had lower odds of being a user (adjusted OR 0.58, 95% CI 0.37-0.91). Conclusions This work adds to the growing body of evidence highlighting the importance of educational aspects (educational level and digital literacy) in the adoption of patient portals. Further research should not only describe but also systematically address these inequalities through patient-centered interventions aimed at reducing the digital divide. Health care providers and policy makers must partner in investing and delivering strategic programs that improve access to technology and digital literacy in an effort to improve digital inclusion and reduce inequities in the delivery of care.