Miracle-dz/UniFAR-FTUs huggingface dataset:
What's Missing: The Role of Instructional Design in Children's Games-Based Learning

Learning games that address targeted curriculum areas are widely used in schools. Within games, productive learning episodes can result from breakdowns when followed by a breakthrough, yet their role in children's learning has not been investigated. This paper examines the role of game and instructional design during and after breakdowns. We observed 26 young children playing several popular learning games and conducted a moment-by-moment analysis of breakdown episodes. Our findings show children achieve productive breakthroughs independently less than half of the time. In particular, breakdowns caused by game actions are difficult for children to overcome independently and prevent engagement with the domain skills. Importantly, we identify specific instructional game components and their role in fostering strategies that result in successful breakthroughs. We conclude with intrinsic and extrinsic instructional design implications for both game designers and primary teachers to better enable children's games-based learning.
Database server workload characterization in an e-commerce environment

In an e-commerce system, the database server performance is crucial. A dynamic cache is often used to reduce the load on the database server, which reduces the need for scalability. A good understanding of the workload characteristics of the database server in an e-commerce environment is important to the design, tuning, and capacity planning of the database server. We characterize the database server workloads in a benchmark e-commerce system. We focus on the response time, CPU utilization, the database page reference characteristics, and disk I/Os of the database server. We find that using a dynamic cache can substantially reduce the CPU utilization but not always the number of disk I/Os of the database server. In most cases, using a dynamic cache reduces the temporal locality in database page references, but to a smaller degree than that reported in file servers and Web proxies. Interestingly, in certain e-commerce workloads, using a dynamic cache results in better temporal locality.
Benzene Exposure Alters Expression of Enzymes Involved in Fatty Acid β-Oxidation in Male C3H/He Mice

Benzene is a well-known hematotoxic carcinogen that can cause leukemia and a variety of blood disorders. Our previous study indicated that benzene disturbs levels of metabolites in the fatty acid β-oxidation (FAO) pathway, which is crucial for the maintenance and function of hematopoietic and leukemic cells. The present research aims to investigate the effects of benzene on changes in the expression of key enzymes in the FAO pathway in male C3H/He mice. Results showed that benzene exposure caused reduced peripheral white blood cell (WBC), red blood cell (RBC), platelet (Pit) counts, and hemoglobin (Hgb) concentration. Investigation of the effects of benzene on the expression of FA transport- and β-oxidation-related enzymes showed that expression of proteins Cpt1a, Crat, Acaa2, Aldh1l2, Acadvl, Crot, Echs1, and Hadha was significantly increased. The ATP levels and mitochondrial membrane potential decreased in mice exposed to benzene. Meanwhile, reactive oxygen species (ROS), hydrogen peroxide (H2O2), and malondialdehyde (MDA) levels were significantly increased in the benzene group. Our results indicate that benzene induces increased expression of FA transport and β-oxidation enzymes, mitochondrial dysfunction, and oxidative stress, which may play a role in benzene-induced hematotoxicity.
Two-step methodology for high-yield routine radiohalogenation of peptides: (18)F-labeled RGD and octreotide analogs.

UNLABELLED Routine application of (18)F-labeled peptides for quantitative in vivo receptor imaging of receptor-expressing tissues and quantification of receptor status using PET is limited by the lack of appropriate radiofluorination methods for routine large-scale synthesis of (18)F-labeled peptides. To satisfy this demand, a new (18)F-labeling methodology based on the chemoselective oxime formation between an unprotected aminooxy-functionalized peptide and an (18)F-labeled aldehyde or ketone was investigated and optimized with respect to peptide conjugation. METHODS 4-[(18)F]Fluorobenzaldehyde ([(18)F]FB-CHO) was prepared from the 4-formyl-N,N,N-trimethylanilinium precursor via direct no-carrier-added (18)F-fluorination (dimethyl sulfoxide, 60 degrees C, 15 min) and purified using a cation-exchange/reversed-phase cartridge system. Radiochemical yields (RCYs) of N-(4-[(18)F]fluorobenzylidene)oxime ([(18)F]FBOA) formation with various aminooxy-modified peptides such as minigastrin, RGD, and octreotate analogs were investigated as a function of reaction time and temperature, peptide concentration, and pH. Biodistribution studies were performed with an [(18)F]FBOA-RGD dimer ((c(RGDfE)HEG)(2)-K-Dpr-[(18)F]FBOA, 60 and 120 min after injection) and a gylcosylated [(18)F]FB-Tyr(3)-octreotate (Gluc-S-Dpr([(18)F]FBOA)TOCA), 10 and 60 min after injection) using M21 and M21L human melanoma and AR42J rat pancreatic tumor-bearing nude mice, respectively. RESULTS [(18)F]FB-CHO was obtained in a nonoptimized RCY of 50% within 30 min. At low peptide concentrations (0.5 mmol/L), optimal [(18)F]FBOA-labeling efficiencies (60%-80%) were obtained within 15 min at 60 degrees C and pH 2-3, independently of the peptide used, affording the [(18)F]FBOA-peptides in overall RCYs of up to 40% (from end of bombardment) after purification. Both (c(RGDfE)HEG)(2)-K-Dpr-[(18)F]FBOA and Gluc-S-Dpr([(18)F]FBOA)TOCA showed pharmacokinetics suitable for early (<or=60 min) high-contrast PET imaging, high tumor uptake (2.48 +/- 0.15 %ID/g [RGD] and 21.8 +/- 1.4 %ID/g [TOCA] at 60 min after injection, where %ID/g = percentage injected dose per gram), and tumor-to-organ ratios that compared well with the corresponding [(18)F]fluoropropionyl analogs [(18)F] Galacto-RGD and Gluc-Lys([(18)F]FP)TOCA, which are prepared via multistep procedures. CONCLUSION Oxime formation between aminooxy-functionalized peptides and an (18)F-labeled aldehyde or ketone-in this case, [(18)F]FB-CHO-combines fast 1-step, high-yield synthesis of an (18)F-labeled prosthetic group stable against in vivo defluorination with rapid, 1-step chemoselective conjugation to unprotected peptides under mild conditions. Thus, it allows fast and straightforward large-scale production of (18)F-labeled peptides for clinical routine PET application. Furthermore, it opens new perspectives to peptide radiohalogenation in general, permitting labeling of the same precursor both with diagnostic ((18)F, (124)I, (120 g)I, (123)I) and therapeutic ((211)At, (131)I) radiohalogens.
An hierarchical artificial neural network system for the classification of transmembrane proteins.

This work presents a simple artificial neural network which classifies proteins into two classes from their sequences alone: the membrane protein class and the non-membrane protein class. This may be important in the functional assignment and analysis of open reading frames (ORF's) identified in complete genomes and, especially, those ORF's that correspond to proteins with unknown function. The network described here has a simple hierarchical feed-forward topology and a limited number of neurons which makes it very fast. By using only information contained in 11 protein sequences, the method was able to identify, with 100% accuracy, all membrane proteins with reliable topologies collected from several papers in the literature. Applied to a test set of 995 globular, water-soluble proteins, the neural network classified falsely 23 of them in the membrane protein class (97.7% of correct assignment). The method was also applied to the complete SWISS-PROT database with considerable success and on ORF's of several complete genomes. The neural network developed was associated with the PRED-TMR algorithm (Pasquier,C., Promponas,V.J., Palaios,G.A., Hamodrakas,J.S. and Hamodrakas,S.J., 1999) in a new application package called PRED-TMR2. A WWW server running the PRED-TMR2 software is available at http://o2.db. uoa.gr/PRED-TMR2
Power analysis of multiplier blocks

In this study, three multiplier-blocks generated by different algorithms are analyzed for their power consumption via transition count based on their implementation on the Xilinx Virtex device. The high level Glitch-Path method, which is used for estimating the relative figures of transitions occurring at the outputs of the adders, has been refined for more accurate estimation and a new method GP Score is proposed. Several design issues are discussed regarding ways of reducing the transitions.
Robotic gastrectomy as an oncologically sound alternative to laparoscopic resections for the treatment of early-stage gastric cancers.

OBJECTIVE To evaluate the comparative safety and efficacy of robotic vs laparoscopic gastrectomy for early-stage gastric cancer. DESIGN Retrospective analysis. SETTING Tertiary hospital. PATIENTS Eight hundred twenty-seven patients with gastric cancer. INTERVENTIONS Between July 2005 and April 2009, 827 patients with gastric cancer underwent 236 robotic and 591 laparoscopic radical gastrectomies with curative intent. The patients' data were prospectively collected and retrospectively analyzed. MAIN OUTCOME MEASURES We performed a comparative analysis between the robotic surgery group and laparoscopic surgery group for preoperative patient characteristics, intraoperative factors, and postoperative morbidity and mortality. RESULTS The robotic group was younger than the laparoscopic group, but other preoperative patient characteristics did not differ. The mean operative time for the robotic group (219.5 minutes) was on average 49 minutes longer than the laparoscopic group (170.7 minutes) (P < .001), while mean blood loss was significantly less in the robotic group (91.6 mL vs 147.9 mL; P = .002). The robotic group had mortality of 0.4% and morbidity of 11.0%, comparable with those of the laparoscopic group (P > .05). The number of lymph nodes retrieved per level was adequate in both groups and did not differ significantly. Robotic D1+α (n = 5), D1+β (n = 126), and D2 (n = 105) dissections retrieved 27.2, 36.7, and 42.4 mean numbers of lymph nodes, respectively. Except for 3 cases in the laparoscopic group, all specimens had negative margins. CONCLUSIONS Our largest comparative study demonstrates robotic gastrectomy to have better short-term and comparable oncologic outcomes compared with laparoscopic gastrectomy. A robotic approach to gastric cancer is a promising alternative to laparoscopic surgery.
A new method for real power transfer allocation using modified nodal equations

This paper proposes a new method to identify the real power transfer between generators and load using modified nodal equations. Based on solved load flow results, the method partitions the Y-bus matrix to decompose the current of the load buses as a function of the generatorspsila current and load voltages. Then it uses the modified admittance matrix to decompose the load voltage dependent term into components of generator dependent terms. Finally using these two decompositions of current and voltage terms, the real power transfer between loads and generators are obtained. The effectiveness of the proposed method is demonstrated by using a simple 5-bus system and the practical 25-bus equivalent power system of south Malaysia. The proposed methodology provides reasonable and acceptable results to real power transfer allocation.
Microbial Dynamics and Caries: The Role of Antimicrobials

The advancement of technology through the application of molecular techniques for identification and analysis of complex bacterial communities have demonstrated the diversity of the oral microbiota and the presence of numerous strains not previously described. Dental plaque is formed by the initial adhesion of pioneer bacterial species to film acquired from enamel, followed by secondary co-aggregation of these bacteria to other microorganisms of different genera and species. This mature dental plaque has some characteristics of multicellular organisms, such as cooperation mechanisms to obtain nutrients, resistance to environmental and communication stresses in order to regulate their growth (Marsh and Martin, 2009).
Performance of Electropun Polyacrylonitrile Nanofibrous Phases, Shown for the Separation of Water-Soluble Food Dyes via UTLC-Vis-ESI-MS

Research in the miniaturization of planar chromatography led to various approaches in manufacturing ultrathin-layer chromatography (UTLC) layers of reduced thickness (<50 µm) along with smaller instrumentation, as targeted in Office Chromatography. This novel concept merges 3D print & media technologies with miniaturized planar chromatography to realize an all-in-one instrument, in which all steps of UTLC are automated and integrated in the same tiny device. In this context, the development of electrospun polyacrylonitrile (PAN) nanofiber phases was investigated as well as its performance. A nanofibrous stationary phase with fiber diameters of 150–225 nm and a thickness of ca. 25 µm was manufactured. Mixtures of water-soluble food dyes were printed on it using a modified office printer, and successfully separated to illustrate the capabilities of such UTLC media. The separation took 8 min for 30 mm and was faster (up to a factor of 2) than on particulate layers. The mean hRF values ranging from 25 to 90 for the five food dyes were well spread over the migration distance, with an overall reproducibility of 7% (mean %RSD over 5 different plates for 5 dyes). The individual mean plate numbers over 5 plates ranged between 8286 and 22,885 (mean of 11,722 over all 5 dyes). The single mean resolutions RS were between 1.7 and 6.5 (for the 5 food dyes over 5 plates), with highly satisfying reproducibilities (0.3 as mean deviation of RS). Using videodensitometry, different amounts separated in parallel led to reliable linear calibrations for each dye (sdv of 3.1–9.1% for peak heights and 2.4–9.3% for peak areas). Coupling to mass spectrometry via an elution head-based interface was successfully demonstrated for such ultrathin layers, showing several advantages such as a reduced cleaning process and a minimum zone distance. All these results underline the potential of electrospun nanofibrous phases to succeed as affordable stationary phase for quantitative UTLC.
Understanding Perceptions of Problematic Facebook Use: When People Experience Negative Life Impact and a Lack of Control

While many people use social network sites to connect with friends and family, some feel that their use is problematic, seriously affecting their sleep, work, or life. Pairing a survey of 20,000 Facebook users measuring perceptions of problematic use with behavioral and demographic data, we examined Facebook activities associated with problematic use as well as the kinds of people most likely to experience it. People who feel their use is problematic are more likely to be younger, male, and going through a major life event such as a breakup. They spend more time on the platform, particularly at night, and spend proportionally more time looking at profiles and less time browsing their News Feeds. They also message their friends more frequently. While they are more likely to respond to notifications, they are also more likely to deactivate their accounts, perhaps in an effort to better manage their time. Further, they are more likely to have seen content about social media or phone addiction. Notably, people reporting problematic use rate the site as more valuable to them, highlighting the complex relationship between technology use and well-being. A better understanding of problematic Facebook use can inform the design of context-appropriate and supportive tools to help people become more in control.
Downlink Power Optimization for Heterogeneous Networks With Time Reversal-Based Transmission Under Backhaul Limitation

In this paper, we investigate an application of two different beamforming techniques and propose a novel downlink power minimization scheme for a two-tier heterogeneous network (HetNet) model. In this context, we employ the time reversal (TR) technique to a femtocell base station, whereby we assume that a macrocell base station uses a zero-forcing-based algorithm, and the communication channels are subject to frequency selective fading. Additionally, the HetNet backhaul connection is unable to support a sufficient throughput for signaling an information exchange between two tiers. Given the considered HetNet model, a downlink power minimization scheme is proposed, and closed-form expressions concerning the optimal solution are provided by taking this constraint into account. Furthermore, considering imperfect channel estimation at TR-employed femtocell, a worst-case robust power minimization problem is formulated. By devising TR worst-case analysis, this robust problem is transformed into an equivalent formulation that is tractable to solve. The results presented in our paper, show that the TR technique outperforms the zero-forcing one from the perspective of beamforming methods for femtocell working environments. Finally, we validate the proposed power loading strategy for both cases of perfect and imperfect channel estimations.
Pharmacokinetics and physiologic effects of intramuscularly administered xylazine hydrochloride-ketamine hydrochloride-butorphanol tartrate alone or in combination with orally administered sodium salicylate on biomarkers of pain in Holstein calves following castration and dehorning.

OBJECTIVE To determine the pharmacokinetic parameters of xylazine, ketamine, and butorphanol (XKB) administered IM and sodium salicylate (SAL) administered PO to calves and to compare drug effects on biomarkers of pain and distress following sham and actual castration and dehorning. ANIMALS 40 Holstein bull calves from 3 farms. PROCEDURES Calves weighing 108 to 235 kg (n = 10 calves/group) received one of the following treatments prior to sham (period 1) and actual (period 2) castration and dehorning: saline (0.9% NaCl) solution IM (placebo); SAL administered PO through drinking water at concentrations from 2.5 to 5 mg/mL from 24 hours prior to period 1 to 48 hours after period 2; butorphanol (0.025 mg/kg), xylazine (0.05 mg/kg), and ketamine (0.1 mg/kg) coadministered IM immediately prior to both periods; and a combination of SAL and XKB (SAL+XKB). Plasma drug concentrations, average daily gain (ADG), chute exit velocity, serum cortisol concentrations, and electrodermal activity were evaluated. RESULTS ADG (days 0 to 13) was significantly greater in the SAL and SAL+XKB groups than in the other 2 groups. Calves receiving XKB had reduced chute exit velocity in both periods. Serum cortisol concentrations increased in all groups from period 1 to period 2. However, XKB attenuated the cortisol response for the first hour after castration and dehorning and oral SAL administration reduced the response from 1 to 6 hours. Administration of XKB decreased electrodermal activity scores in both periods. CONCLUSIONS AND CLINICAL RELEVANCE SAL administered PO through drinking water decreased cortisol concentrations and reduced the decrease in ADG associated with castration and dehorning in calves.
Predicting Absenteeism at Work Using Tree-Based Learners

Absenteeism at workplace acts as a crucial role in demonstrating the productive and profitable capacity of a company. Thus the knowledge of absenteeism of employees' becomes the foundation for an organization in its multiple dimensions. Because the proper determination of employees' profile allows the identification of excesses of occurrences of certain morbidities. The early absenteeism research primarily focused on predicting the characteristics and the categories of diseases of employees that make them perform higher absenteeism at workplace. However, predicting the absenteeism time of employees using different machine learning classifiers is able to give the researches a new dimension in line with the intention of revealing the underlying causes and patterns of absenteeism. In this paper, we have applied 4 prominent machine learning algorithms namely Decision Tree, Gradient Boosted Tree, Random Forest, and Tree Ensemble on the absenteeism dataset of a courier company in Brazil in order to predict the absenteeism time of employees at work as well as the best classifier. Based on the 7 evaluation metrics such as True Positive, True Negative, False Positive, False Negative, Sensitivity, Specificity, and Accuracy we found that Gradient Boosted Tree produced the best result with an accuracy rate of 82% whereas Tree Ensemble performed the lowest with the accuracy rate of 79%.
Dual regulation of the native ClC-K2 chloride channel in the distal nephron by voltage and pH

ClC-K2 is present on the basolateral membrane of kidney epithelial cells, but little is known about its single channel properties. Pinelli et al. record unitary ClC-K2 currents from intercalated cells of mouse connecting tubules and investigate their regulation by voltage, pH, Cl−, and Ca2+.
Maternal smoking in pregnancy and birth defects: a systematic review based on 173 687 malformed cases and 11.7 million controls

BACKGROUND There is uncertainty over whether maternal smoking is associated with birth defects. We conducted the first ever comprehensive systematic review to establish which specific malformations are associated with smoking. METHODS Observational studies published 1959–2010 were identified (Medline), and included if they reported the odds ratio (OR) for having a non-chromosomal birth defect among women who smoked during pregnancy compared with non-smokers. ORs adjusted for potential confounders were extracted (e.g. maternal age and alcohol), otherwise unadjusted estimates were used. One hundred and seventy-two articles were used in the meta-analyses: a total of 173 687 malformed cases and 11 674 332 unaffected controls. RESULTS Significant positive associations with maternal smoking were found for: cardiovascular/heart defects [OR 1.09, 95% confidence interval (CI) 1.02–1.17]; musculoskeletal defects (OR 1.16, 95% CI 1.05–1.27); limb reduction defects (OR 1.26, 95% CI 1.15–1.39); missing/extra digits (OR 1.18, 95% CI 0.99–1.41); clubfoot (OR 1.28, 95% CI 1.10–1.47); craniosynostosis (OR 1.33, 95% CI 1.03–1.73); facial defects (OR 1.19, 95% CI 1.06–1.35); eye defects (OR 1.25, 95% CI 1.11–1.40); orofacial clefts (OR 1.28, 95% CI 1.20–1.36); gastrointestinal defects (OR 1.27, 95% CI 1.18–1.36); gastroschisis (OR 1.50, 95% CI 1.28–1.76); anal atresia (OR 1.20, 95% CI 1.06–1.36); hernia (OR 1.40, 95% CI 1.23–1.59); and undescended testes (OR 1.13, 95% CI 1.02–1.25). There was a reduced risk for hypospadias (OR 0.90, 95% CI 0.85–0.95) and skin defects (OR 0.82, 0.75–0.89). For all defects combined the OR was 1.01 (0.96–1.07), due to including defects with a reduced risk and those with no association (including chromosomal defects). CONCLUSIONS Birth defects that are positively associated with maternal smoking should now be included in public health educational materials to encourage more women to quit before or during pregnancy.
The Identity Crisis Within the IS Discipline: Defining and Communicating the Discipline's Core Properties

We are concerned that the IS research community is making the discipline's central identity ambiguous by, all too frequently, under-investigating phenomena intimately associated with IT-based systems and over-investigating phenomena distantly associated with IT-based systems. In this commentary, we begin by discussing why establishing an identity for the IS field is important. We then describe what such an identity may look like by proposing a core set of properties, i.e., concepts and phenomena, that define the IS field. Next, we discuss research by IS scholars that either fails to address this core set of properties (labeled as error of exclusion) or that addresses concepts/phenomena falling outside this core set (labeled as error of inclusion). We conclude by offering suggestions for redirecting IS scholarship toward the concepts and phenomena that we argue define the core of the IS discipline.