Miracle-dz/UniFAR-FTUs huggingface dataset:
Biogeochemical Coring and Preservation Method for Unconsolidated Soil Samples

Developing an accurate conceptual site model (CSM) is an important process before a decision can be made regarding effective remedial actions. A critical aspect of an accurate CSM is thoroughly understanding the biogeochemistry occurring at the site in the area of concern. To collect media samples that accurately preserve the in situ biogeochemistry, a new Rotosonic core barrel and core preservation protocol was developed. The new biogeochemical core barrel (BCB) successfully isolated and preserved the in situ biogeochemical conditions of the soil core and minimized the soil core's exposure pathways to air. The BCB's success was achieved by a modified Rotosonic core barrel, a specialized drive shoe, an internal BCB core barrel piston, hydraulic extrusion of the soil core into a stainless core tube with an internal piston, and specialized core tube sealing, handling, and subsampling methods. Detailed subsampling of 65‐foot (nominally 20 m) soil core in 2‐inch (nominally 51 mm) increments within a specialized anaerobic glovebox confirmed the presence of five biogeochemical redox transition zones within the soil core. The BCB also allowed for split soil core samples for detailed mineralogical and live microbiological studies. Success of the BCB method is further evidenced by the presence of the highly redox‐sensitive surface bound iron sulfide mineral mackinawite. The BCB allowed detailed analysis of the soil core including Fe and S concentration gradients, oxidation–reduction potential gradients, volatile organic compound analysis, and live microbiological assessments.
Neonatal Outcome of Late Preterm Infants Delivered in a Tertiary Care Hospital

Introduction: Infant born beforen37 weeks of gestation known as Preterm. Previously called Near term I.e infant born in gestation week 34 to 37 week known as Late Preterm . Preterm are more prone for increased morbidity and mortality as compared to Term. It is also associated with hospital readmission in 1 st year of life. The available literature in late preterm is limited and need to conduct study to know the outcome of late preterm in tertiary care hospital with respect to morbidity and mortality in late preterm. Methodology: It is a single centric ,observational, prospective, descriptive study conducted at tertiary care hospital on Late Preterm admitted in NICU ,Duration of study is 18 month with 195 patient were included. Inclusion Criteria: 1.Late Preterm(34 to 37 week) 2.Large for Gestational age and Appropriate for Gestational age Exclusion Criteria: 1.Late Preterm with Small for Gestational age 2.Outborn delivery 3.Congenital Anomalies Patient who were willing to participate and sign the informed consent were enrolled in study. Gestational age was assessed by Modified New Ballard Score. Result: In total study population 69.7% kept with mother and 30.3% need NICU admission. Higher percentage of neonates with NBS score 34 week require NICU admission as compared to 36 weeks. (P<0.007). Most common indication of admission is Hyperbilirubinemia followed by HIE followed by TTN. Preterm with morbidity noted in only 2.6 % most probably with Neonatal seizure . Mortality is 1%. Conclusion: In studied population of gestational age 34 to 37 weeks have higher magnitude of morbidities and mortality as compared to term neonates with increase in magnitude of severity as gestational age decreased.
Suprascapular Nerve Radiofrequency versus Intraarticular Steroid Injection in Chronic Shoulder Pain

Background: Chronic shoulder pain is a frequent clinical condition that often reduces patient’s function and rehabilitation. Objectives: We aimed to compare efficacy of pulsed radiofrequency (PRF) to intra-articular steroid (triamcinolone acetonide) injection in controlling chronic shoulder pain as regard improvement of pain and function in six-month duration. Patients and Methods: We carried out a prospective, randomized, controlled, single-blinded study enrolled 60 patients with shoulder pain randomly divided into 2 groups. Group I: PRF group enrolled 30 patients who were treated by PRF neuromodulation to the suprascapular nerve under fluoroscopy and Group II: steroid group enrolled 30 patients who were treated with intra-articular injection of 5 ml of 2% lidocaine with triamcinolone acetonide 40 mg. Results: In Group 1 (PRF group) we reported statistically significant improvement of VAS, these positive effects lasted at least 6 months and the VAS decreased through 6 months from 6.5 to 3.5. In Group 2 VAS decreased through 6 months from 7 to 3.5. Both groups showed significant Oxford Shoulder Scale (OSS) improvement. Conclusion: Intra articular injection of triamcinolone acetonide is more effective in improvement of chronic shoulder pain and function than PRF.
A feature‐based approach for guiding the selection of Internet of Things cybersecurity standards using text mining

Cybersecurity is critical in realizing Internet of Things (IoT) applications and many different standards have been introduced specifically for this purpose. However, selecting relevant standards is not trivial and requires a broad understanding of cybersecurity and knowledge about the available standards. In this study, we present a systematic approach that guides IoT system developers in selecting relevant cybersecurity standards for their IoT projects. The systematic approach has been developed in four stages. First, the common and variant features of IoT cybersecurity have been modeled using a feature model. Second, an up‐to‐date overview of the IoT cybersecurity standards landscape has been mapped by combining existing overviews. Third, a text mining algorithm has been implemented. Fourth, the systematic approach has been modeled using business process modeling notation. Our case study demonstrated that this approach is effective and efficient for guiding the selection of IoT cybersecurity standards.
Identity lost and found: Self-concept clarity in social network site contexts

ABSTRACT Social network sites (SNSs) allow young people to experiment with and present different aspects of themselves during important periods of self-concept development. Interestingly, whether SNSs have negative or positive effects on self-concept clarity (SCC) is inconclusive. We propose that SNS use may simultaneously produce negative and positive effects on SCC, depending on how people use it and the social connection quality created on-line. Specifically, the suppressing mediation model reveals that the direct effect of SNS use intensity on SCC is negative, whereas the indirect effects via perceived social support and self-esteem are positive, suggesting these variables may suppress the negative effect of SNS use on SCC. Our framework helps to explain how SNS contexts influence identity development in young people.
FIELD COMPARISON OF AUTOCIDAL GRAVID OVITRAPS AND IN2CARE TRAPS AGAINST AEDES AEGYPTI IN DOWNTOWN SAINT AUGUSTINE, NORTHEASTERN FLORIDA

Mosquito Control programs are utilizing cost-effective long term autocidal gravid traps because they minimize labor needs while targeting the gravid population of container-breeding mosquitoes. This field study compared the efficacy of the In2Care Mosquito Trap and the Centers for Disease Control and Prevention autocidal gravid ovitrap (CDC-AGO). The study consisted of two control and two treatment sites, and each treatment site had either 100 In2Care Mosquito Traps or 100 CDC-AGOs. Aedes aegypti populations in each site were monitored using Biogent (BG) Sentinel 2 mosquito traps and ovitraps. Analysis of pre- and post-treatment data indicated no significant difference in adult mosquito populations detected by BG traps from either the In2Care or CDC-AGO sites. However, the mean number of eggs collected by ovitraps showed significant reduction in both trap type treated areas posttreatment, compared to pre-treatment. Furthermore, the mean number of egg collections from the In2Care mosquito trap treated area was much less than the collection from the CDC-AGO trap treated area post-treatment.
Slowing down the heat in thermoelectrics

Heat transport has various applications in solid materials. In particular, the thermoelectric technology provides an alternative approach to traditional methods for waste heat recovery and solid-state refrigeration by enabling direct and reversible conversion between heat and electricity. For enhancing the thermoelectric performance of the materials, attempts must be made to slow down the heat transport by minimizing their thermal conductivity ( κ ). In this study, a continuously developing heat transport model is reviewed first. Theoretical models for predicting the lattice thermal conductivity ( κ lat ) of materials are summarized, which are significant for the rapid screening of thermoelectric materials with low κ lat . Moreover, typical strategies, including the introduction of extrinsic phonon scattering centers with multidimensions and internal physical mechanisms of materials with intrinsically low κ lat , for slowing down the heat transport are outlined. Extrinsic defect centers with multidimensions substantially scatter various-frequency phonons; the intrinsically low κ lat in materials with various crystal structures can be attributed to the strong anharmonicity resulting from weak chemical bonding, resonant bonding, low-lying optical modes, liquid-like sublattices, off-center atoms, and complex crystal structures. This review provides an overall understanding of heat transport in thermoelectric materials and proposes effective approaches for slowing down the heat transport to depress κ lat for the enhancement of thermoelectric performance.
Improving Intelligent Decision Making in Urban Planning

Generally, decision making in urban planning has progressively become difficult due to the uncertain, convoluted, and multi-criteria nature of urban issues. Even though there has been a growing interest to this domain, traditional decision support systems are no longer able to effectively support the decision process. This paper aims to elaborate an intelligent decision support system (IDSS) that provides relevant assistance to urban planners in urban projects. This research addresses the use of new techniques that contribute to intelligent decision making: machine learning classifiers, naïve Bayes classifier, and agglomerative clustering. Finally, a prototype is being developed to concretize the proposition.
Teaching algorithms in upper secondary education: a study of teachers’ pedagogical content knowledge

ABSTRACT Background and Context Computing education is expanding, while the teaching of algorithms is less well studied. Objective The aim of this study was to examine teachers’ pedagogical content knowledge (PCK) for teaching algorithms. Method We conducted semi-structured interviews with seven computer science (CS) teachers in upper secondary education (students aged 15–18). The data were analyzed qualitatively. Findings We found two patterns of variation in teachers’ PCK. First, we detected variation in the teachers’ goals related to their view of algorithms: they either focused on “thinking” about the algorithm as an object, or focused on “thinking and making”, where the algorithm is also regarded as a program. Second, we found variation in teachers’ knowledge about responding to differences between students, which may be generic or topic-specific. Furthermore, our findings reveal that teachers consider class discussions to play a significant role as an instructional method for provoking reflection. Implications Our findings regarding PCK may be beneficial for the development of teacher education and professionalization activities for CS teachers.
Self-Seeded Growth of Poly(3-hexylthiophene) (P3HT) Nanofibrils by a Cycle of Cooling and Heating in Solutions

In spite of the recent successes in transistors and solar cells utilizing poly(3-hexylthiophene) (P3HT) nanofibrils, systematic analysis on the growth kinetics has not been reported due to the lack of analytical tools. This study proposed a simple spectroscopic method to obtain the crystallinity of P3HT in solutions. On the basis of the analytical approach, we found that the crystallinity hysteresis upon temperature is a simple function of the solubility parameter difference (Δδ) between the P3HT and the solvents. When Δδ ≥ 0.7, a cooling (−20 °C)-and-heating (25 °C) process allowed the preparation of solutions including 1D crystal seeds dispersed in the solution. Simple coating of the seeded solutions completed the growth of the seeds into long nanofibrils at the early stage of the coating and thereby achieved almost 100% crystallinity in the resulting films without any postannealing process. The existence of PCBM for bulk-heterojunction (BHJ) solar cells did not affect the nucleation and growth of the n.
Price decomposition of laser treatment for port‐wine stain using the hedonic pricing model

Port‐wine stain (PWS) is a congenital capillary malformation associated with negative effects on the quality of life and psychological health of the patients. Pulsed dye laser (PDL) is the current treatment of choice for PWS; however, there is little information on the factors determining the treatment price of PWS. We aim to explore the factors determining the treatment price of PWS.
Whole body muscle activity during weightlifting exercise evaluated by positron emission tomography

BackgroundThis study investigated the whole-body skeletal muscle activity pattern of hang power clean (HPC), a major weight training exercise, using positron emission tomography (PET). MethodTwelve college weightlifting athletes performed three sets of HPC 20 times with a barbell set to 40 kg both before and after an intravenous injection of 37 MBq 18F-fluorodeoxyglucose (FDG). PET-computed tomography images were obtained 50 min after FDG injection. Regions of interest were defined within 71 muscles. The standardized uptake value was calculated to examine the FDG uptake of muscle tissue per unit volume, and FDG accumulation was compared to the control group. The Mann–Whitney U-test was used to evaluate the differences in the mean SUV between groups. The difference between SUVs of the right and left muscles was evaluated by a paired t-test. A P-value < 0.05 was considered statistically significant.ResultsFDG accumulation within the vastus lateralis, vastus intermedius, and vastus medialis was higher than that of the rectus femoris. FDG accumulation within the triceps surae muscle was significantly higher only in the soleus. In the trunk and hip muscles, FDG accumulation of only the erector spinae was significantly increased. In all skeletal muscles, there was no difference between SUVs of the right and left muscles.ConclusionsThe monoarticular muscles in the lower limbs were active in HPC. In contrast, deep muscles in the trunk and hip were not active during HPC. HPC is not suitable for core training and needs to be supplemented with other training.
Robust Active Damping Strategy for DFIG Wind Turbines

Doubly fed induction generators (DFIGs) with an LCL filter are widely used for wind power generation. In these energy conversion systems, there is an interaction between the grid-side converter (GSC) and the rotor-side converter (RSC) control loops, the generator and the LCL filter that must be properly modeled. Such interaction between the GSC and the RSC proves to have a significant influence on the stability. Several active damping (AD) methods for grid-connected converters with an LCL filter have been proposed, nevertheless, the application of these techniques to a DFIG wind turbine is not straightforward, as revealed in this article. To achieve a robust damping irrespective of the grid inductance, this article proposes an AD strategy based on the capacitor current feedback and the adjustment of the control delays to emulate a virtual impedance, in parallel with the filter capacitor, with a dominant resistive component in the range of possible resonance frequencies. This work also proves that, by applying the AD strategy in both converters simultaneously, the damping of the system resonant poles is maximized when a specific value of the grid inductance is considered. Experimental results show the interaction between the GSC and the RSC and validate the proposed AD strategy.
High prevalence of Sarcocystis funereus sp. nov. (Apicomplexa, Sarcocystidae) in offspring of Tengmalm’s owls Aegolius funereus (Aves, Strigidae)

Background Birds act as intermediate or definitive hosts of cyst-forming coccidia parasites of the genus Sarcocystis Lankester, 1882. However, the spectrum of species of Sarcocystis in birds and the role of the latter in the transmission of coccidia are still incomplete for many avian species including Tengmalm’s owl Aegolius funereus (Linnaeus, 1758). During a research of Tengmalm’s owls in Finland some fledglings were found dead and subsequently parasitologically examined. Therefore, this study is focused on the morphological and molecular description of a new Sarcocystis species found in the intestine of the Tengmalm’s owl and its possible role as definitive host. Methods Eleven fledgling owls from the Kauhava region of west-central Finland were found dead and subsequently were submitted for necropsy, parasitologically examined through flotation-centrifugation coprological technique for the presence of oocysts/sporocysts of genus Sarcocystis by light microscopy. Wet mounts were used for the examination of muscle samples (breast, legs, heart). Polymerase chain reaction and nested-PCR were carried out by using primers for 18S rRNA, 28S rRNA, ITS1 region and cox1 genes. Results All eleven examined birds were parasitized by numerous sporocysts and oocysts in the intestinal mucosa scrapings (prevalence 100%). Sporulated oocysts and sporocysts measured 16.34 − 16.96 × 11.47 − 12.09 µm and 11.85 − 13.52 × 7.77 − 9.25 µm, respectively. Skeletal and heart muscles were negative for sarcocysts. The phylogenetic analysis revealed that Sarcocystis funereus sp. nov. is closely related to Sarcocystis strixi from the barred owl (Strix varia Barton, 1799) from the USA and Sarcocystis sp. isolate 5 from the European shrew (Sorex araneus Linnaeus, 1758) from the Czech Republic, but a valid species. Conclusions This work provided the first and the most comprehensive record on Sarcocystis from owls obtained in Finland, thus highlighting the importance of molecular data in the species identification.
A new framework for examining creditworthiness of borrowers: the mover-stayer model with covariate and macroeconomic effects

We develop a novel extension of the mover-stayer model to allow for time-dependent variables such as macroeconomic factors and apply it to the repayment process for car loans. The MS model postulates a simple form of population heterogeneity, which is particularly well suited to describing the repayment process: a proportion of borrowers always repay on time (stayers), and a complementary proportion evolves according to a discrete-time Markov chain (movers), with an absorbing default state. In contrast to the literatures focus on the determinants of defaults, our extension examines the determinants of creditworthy borrowers (stayers). We model the probability of borrowers being stayers as a logistic function of their time-fixed covariates as well as of macroeconomic variables. The car-loans data set, obtained from a Polish bank, contains a large number of characteristics for each borrower and their repayment histories. The MS models' estimation from these data indicates that annual GDP growth is the only macroeconomic variable exerting a substantial effect on the stayers' probability: as GDP increases, so does the proportion of stayers. Because stayers are the most desirable borrowers, the proposed model should be useful to institutional lenders.
Pharmaceutical Salts of Biologically Active Hydrazone Compound Salinazid: Crystallographic, Solubility, and Thermodynamic Aspects

The crystal structures of salts of the active pharmaceutical ingredient (API) called salinazid with dicarboxylic acids and acesulfame were determined by single-crystal X-ray diffraction method. The crystals contain hydrogen bond motifs of different structure and complexity, the energies of which were estimated by using the quantum theory of atoms in molecules and crystals (QTAIMC) methodology. It was found that the driving force for facile the oxalate and malate salts formation is the bifurcated N+–H···O– and N+–H···O hydrogen bond synthon, while salinazid malonate is mainly stabilized via a “classic” pyridinium-carboxylate heterosynthon. The oxalate and acesulfame salts of salinazid were found to be stable during aqueous dissolution experiments, providing a substantial solubility improvement compared to pure API (33 and 18 times, respectively). However, the malonate and malate salts dissolved incongruently and rapidly underwent a solution-mediated transformation to form pure salinazid. Based on the solub.
Optimization for Data-Driven Preventive Control Using Model Interpretation and Augmented Dataset

Transient stability preventive control (TSPC) ensures that power systems have a sufficient stability margin by adjusting power flow before faults occur. The generation of TSPC measures requires accuracy and efficiency. In this paper, a novel model interpretation-based multi-fault coordinated data-driven preventive control optimization strategy is proposed. First, an augmented dataset covering the fault information is constructed, enabling the transient stability assessment (TSA) model to discriminate the system stability under different fault scenarios. Then, the adaptive synthetic sampling (ADASYN) method is implemented to deal with the imbalanced instances of power systems. Next, an instance-based machine model interpretation tool, Shapley additive explanations (SHAP), is embedded to explain the TSA model’s predictions and to find out the most effective control objects, thus narrowing the number of control objects. Finally, differential evolution is deployed to optimize the generation of TSPC measures, taking into account the security and economy of TSPC. The proposed method’s efficiency and robustness are verified on the New England 39-bus system and the IEEE 54-machine 118-bus system.
Territorial disparities in labour productivity, wages and prices in Italy: What does the data show?

In Italy, both at the regional and sub-regional levels, labour productivity and average wages are strongly correlated. Overall, in industry and services, the gap (about 30%) in productivity between Southern and Central-Northern regions is almost offset by that in the average wage: unit labour costs are similar. Since, in Italy, in each sector, nominal wages are set through national collective agreements – and therefore are the same throughout the country – regional differences in wage per employee depend solely on the composition of the occupational structures. The small difference in the unit labour cost suggests that also the North–South disparity in labour productivity is largely due to the characteristics of the respective productive structures. Across Italian regions, average wages and price levels are positively correlated. Spatial price differentials mainly depend on the prices of services and housing. In turn, prices influence regional nominal productivity in sectors producing non-tradable goods. The North–South difference in price levels substantially equalises the average real wage in the two areas. Nevertheless, thanks to the lower prices and the equality in nominal wages, in the South employees enjoy a greater purchasing power than their colleagues in the rest of the country with analogous job positions. The Italian case suggests that, at the regional level, labour productivity, average wages and prices are interrelated. The analysis of their mutual relationships is of great importance for regional policies.