Miracle-dz/UniFAR-FTUs huggingface dataset:
Educating Teens about the Risks on Social Network Sites. An intervention study in Secondary Education Enseñar a los adolescentes los riesgos de las redes sociales: Una propuesta de intervención en Secundaria

The growing popularity of social network sites (SNS) is causing concerns about privacy and security, especially with teenagers since they show various forms of unsafe behavior on SNS. Media literacy emerges as a priority, and researchers, teachers, parents and teenagers all point towards the responsibility of the school to educate teens about risks on SNS and to teach youngsters how to use SNS safely. However, existing educational materials are not theoretically grounded, do not tackle all the specific risks that teens might encounter on SNS and lack rigorous outcome evaluations. Additionally, general media education research indicates that although changes in knowledge are often obtained, changes in attitudes and behavior are much more difficult to achieve. Therefore, new educational packages were developed ‐ taking into account instructional guidelines- and a quasi-experimental intervention study was set up to find out whether these materials are effective in changing the awareness, attitudes or the behavior of teenagers on SNS. It was found that all three courses obtained their goal in raising the awareness about the risks tackled in this course. However, no impact was found on attitudes towards the risks, and only a limited impact was found on teenagers’ behavior concerning these risks. RESUMEN La creciente popularidad de las redes sociales (RS) esta causando preocupacion por la privacidad y la seguridad de los usuarios, particularmente de los adolescentes que muestran diversas formas de conductas de riesgo en las redes sociales. En este contexto, la alfabetizacion mediatica emerge como una prioridad e investigadores, profesores, padres y adolescentes enfatizan la responsabilidad de la escuela de ensenar a los adolescentes acerca de los riesgos en RS y como utilizarlas sin peligro. Sin embargo, los materiales educativos existentes no estan teoricamente fundamentados, no abordan todos los riesgos especificos que los adolescentes pueden encontrar en las redes y carecen de evaluaciones de resultados. Ademas, estudios acerca de la educacion mediatica indican que, mientras los cambios a nivel de conocimientos suelen obtenerse facilmente cambios en las actitudes y el comportamiento son mucho mas dificiles de lograr. Por este motivo, nuevos paquetes educativos han sido desarrollados teniendo en cuenta directrices educativas. Posteriormente se llevo a cabo un estudio de intervencion cuasi-experimental a fin de verificar si estos materiales son eficaces para cambiar el conocimiento, las actitudes y el comportamiento de los adolescentes en las redes sociales. El estudio constato que los cursos obtienen su objetivo en la sensibilizacion de los riesgos tratados. Sin embargo, no se observo ningun impacto en las actitudes hacia el riesgo, y el impacto en el comportamiento de los adolescentes en relacion con estos riesgos fue limitado.
Nonlocal Low-Rank Residual Modeling for Image Compressive Sensing Reconstruction

The nonlocal low-rank (LR) modeling has proven to be an effective approach in image compressive sensing (CS) reconstruction, which starts by clustering similar patches using the nonlocal self-similarity (NSS) prior into nonlocal image groups and then imposes an L-R penalty on each nonlocal image group. However, most existing methods only approximate the LR matrix directly from the degraded nonlocal image group, which may lead to suboptimal LR matrix approximation and thus obtain unsatisfactory reconstruction results. This paper proposes a novel nonlocal low-rank residual (NLRR) approach for image CS reconstruction, which progressively approximates the underlying LR matrix by minimizing the LR residual. To do this, we first use the NSS prior to obtain a good estimate of the original nonlocal image group, and then the LR residual between the degraded nonlocal image group and the estimated nonlocal image group is minimized to derive a more accurate LR matrix. To ensure the optimization is both feasible and reliable, we employ an alternative direction multiplier method (ADMM) to solve the NLRR-based image CS reconstruction problem. Our experimental results show that the proposed NLRR algorithm achieves superior performance against many popular or state-of-the-art image CS reconstruction methods, both in objective metrics and subjective perceptual quality.
Fibrillization Process of Human Amyloid-Beta Protein (1–40) under a Molecular Crowding Environment Mimicking the Interior of Living Cells Using Cell Debris

Molecular crowding environments play a crucial role in understanding the mechanisms of biological reactions. Inside living cells, a diverse array of molecules coexists within a volume fraction ranging from 10% to 30% v/v. However, conventional spectroscopic methods often face difficulties in selectively observing the structures of particular proteins or membranes within such molecularly crowded environments due to the presence of high background signals. Therefore, it is crucial to establish in vitro measurement conditions that closely resemble the intracellular environment. Meanwhile, the neutron scattering method offers a significant advantage in selectively observing target biological components, even within crowded environments. Recently, we have demonstrated a novel scattering method capable of selectively detecting the structures of targeted proteins or membranes in a closely mimicking intracellular milieu achieved utilizing whole-cell contents (deuterated-cell debris). This method relies on the inverse contrast matching technique in neutron scattering. By employing this method, we successfully observed the fibrillization process of human amyloid beta-protein (Aβ 1–40) under a molecular crowding environment (13.1% w/v cell debris, Aβ/cell debris = ~1/25 w/w) that closely mimics the interior of living cells. Aβ protein is well known as a major pathogenic component of Alzheimer’s disease. The present results combining model simulation analyses clearly show that the intracellular environment facilitates the potential formation of even more intricate higher-order aggregates of Aβ proteins than those previously reported.
The Quality of Pasta with the Addition of Buckwheat Microgreens or Sprouts

Sprouts and microgreens are important functional foods used as nutrition supplements. The aim of this work was to test the possibility of pasta production with different proportions of buckwheat sprouts or microgreens and evaluate their selected qualitative properties. Semolina pasta containing different proportions of flour from buckwheat sprouts (10-20%) and buckwheat microgreens (10%) were produced. Optimal cooking time, cooking water absorption, swelling, cooking losses, adhesion, color, overall look, surface, elasticity, translucency, flavour, taste, and the overall impression were evaluated. For pasta production, buckwheat sprout flour can be recommended in a portion of up to 10%.
Late Cretaceous terrestrial vertebrate fauna, North Slope, Alaska

Closely related terrestrial vertebrates in Cretaceous mid-latitude (30/sup 0/ to 50/sup 0/) faunas of North America and Asia as well as scattered occurrences of footprints and skin impressions suggested that in the Late Mesozoic the Alaskan North Slope supported a diverse fauna. In 1961 abundant skeletal elements of Cretaceous, Alaskan dinosaurs (hadrosaurids) were discovered by the late R.L. Liscomb. This material is being described by K.L. Davies. Additional fossils collected by E.M. Brouwers and her associates include skeletal elements of hadrosaurid and carnosaurian (.tyrannosaurid) dinosaurs and other vertebrates. The fossil locality on the North Slope is not at about 70/sup 0/N. In the Late Cretaceous the members of this fauna were subject to the daylight regime and environment at a paleolatitude closer to 80/sup 0/N. Current hypotheses attributing extinctions of dinosaurs and some other terrestrial vertebrates to impact of an extraterrestrial object cite periods of darkness, decreased temperature (possibly followed by extreme warming) and acid rain as the direct causes of their demise. Unless members of this North Slope fauna undertook long-distance migrations, their high latitude occurrence indicates groups of dinosaurs and other terrestrial vertebrates regularly tolerated months of darkness.
Cell-Free Massive MIMO Enabled Wireless Communication With UAVs in Underlay Spectrum Access Networks

We investigate the use of cell-free massive multiple input multiple output (MIMO) systems in serving unmanned aerial vehicles (UAVs) and ground user equipments (GUEs) in underlay spectrum access mode by considering UAVs as secondary users and GUEs as primary users. We derive a novel lower bound on complement of interference violation probability (IVP). This result helps determine the power margin required at secondary access points (APs) to meet the IVP constraint. We deduce new analytical expressions for spectral efficiency (SE) and bit error rate (BER) of UAVs and GUEs. This analysis entails finding expectation of secondary AP transmit power based on order statistics of the strongest interference channel between secondary APs and GUEs. We prove that for lower pilot power, a larger power margin is required to keep IVP fixed. We show that for a given IVP, the larger the interference threshold is, the greater (lower) the likelihood for the UAVs (GUEs) to obtain higher SE is. For a given interference threshold, probability that UAVs attain higher SE increases as IVP increases for a fixed number of secondary APs (<inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula>) or as <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> increases for a given IVP. Impact of interference threshold and height of UAVs on BER is elucidated.
Risk factors for adverse pregnancy outcomes in Chinese women: a meta-analysis

Objective This study examined the associated risk factors of adverse pregnancy outcomes among Chinese females and furnished some fundamental principles and recommendations for enhanced prevention of adverse pregnancy and preservation of women’s well-being. Methods A systematic review was conducted by retrieving the MEDLINE (The National Library of Medicine), Embase, PubMed, and Cochrane databases. The relevant risk factors for adverse pregnancy in Chinese women were retrieved from May 2017 to April 2023. Use Review Manager for data analysis. Calculate the merge effect based on data attributes using mean difference (MD) or odds ratio (or) and 95% confidence interval (CI). The meta-analysis was registered at INPLASY (International Platform of Registered Systematic Review and Meta-analysis Protocols, 202340090). Results A total of 15 articles were included, with a total of 946,818 Chinese pregnant women. Moreover, all the literature was scored by the NOS (Newcastle-Ottawa Scale), and all literatures were ≥7 points, which were evaluated as high quality. There are seven risk factors related to adverse pregnancy in Chinese women: parity, pregnancy frequency, education level, smoking, gestational diabetes, gestational weeks, and age. Moreover, the main risk factors for adverse pregnancy are pregnancy frequency, education level, gestational diabetes mellitus, and age. Conclusion The pregnancy frequency, education level, gestational diabetes mellitus, and age were significantly associated with the adverse pregnancy in Chinese women, whereas gestational weeks, smoking, and parity had no significant effect on adverse pregnancy.
: as a new method for providing insight into peptide fragmentation: The influence of the side-chain and inter-side-chain interactions

The identification of peptides and proteins from tandem mass spectra is a difficult task and multiple tools have been developed to aid this identification. We present a new method, called Quantum Chemical Mass Spectrometry for Materials Science (QCMS 2 ), which is based on quantum chemical calculations of bond orders, reaction and transition-state energies at the DFT/B3LYP/6-311+G* level of theory. The method was used to describe the fragmentation pathways of five X-His-Ser tripeptides with X = Asn, Asp, Glu, Ser and Trp, thereby focusing on the influence of the side chain and inter-side-chain interaction on the fragmentation. The main features in the mass spectra of the five tripeptides were correctly reproduced and a number of fragments were assigned to fragmentations involving the side chain and the influence of inter-side-chain interactions. Product ion spectra were recorded to evaluate the capabilities and limitations of QCMS 2 and a number of conventional tools.
Remote Working in Indonesian Securities Companies: The Power of Innovative Work Behaviour

Thisstudyaimstoinvestigatetheimpactoftransformationalleadership and innovative work behaviour on virtual team performance in Indonesian securities companies. A questionnaire was used to collect data from 233 work unit leaders who have implemented remote working policies in the last 3 years. Structural Equation Modelling was used to examine the causal relationship between variables. The results show that virtual team performance is inﬂuenced by innovative work behaviour, while transformational leadership cannot directly affect it. However, transformational leadership can indirectly affect virtual team performance by enhancing innovative work behaviour. Thus, to maintain and improve virtual team performance in a remote working environment, innovative work behaviour is crucial, and transformational leadership can promote such behaviour. This study’s ﬁndings have practical implications for securities companies in Indonesia to adapt to a remote working environment.
Effect of adjuvants on physicochemical properties of lime sulfur on flower/paraffin and application on flower thinning

Introduction Adjuvants can effectively enhance the utilization rate of pesticides, but the application of adjuvants in plant growth regulators is rarely studied. Methods This work explored the effects of adjuvants dioctyl sulfosuccinate sodium salt (AOT) and methyl oleate (MO) on lime sulfur (LS), especially the drop behavior on flower and paraffin surface. Results The results showed that the addition of AOT and AOT+MO can significantly reduce the static and dynamic surface tension of LS from 72mN/m to 28mN/m and 32mN/m respectively, and increase the spreading factor from 0.18 to 1.83 and 3.10 respectively, reduce the bounce factor from 2.72 to 0.37 and 0.27 respectively. The fluorescence tracer test showed that the addition of adjuvants could promote the spreading and permeation of droplets. The field test results revealed that the flower thinning rate of adjuvant and non-adjuvant were 80.55% and 54.4% respectively, and the flower thinning effect of adding adjuvant was the same as that of artificial which the flower thinning rate was 84.77%. The quality of apples treated with adjuvants was similar to that treated with artificial, and the weight of single fruit increased by 24.08% compared with CK (spray water). Discussion The application of tank-mixture adjuvant could reduce the dosage of LS for thinning agent application, improve apple’s quality, and decrease labor cost and improve the economic benefits of fruit planting and the environmental benefits of plant growth regulators.
Fractura femoral en paciente portador de un clavo intramedular

espanolLos autores presentan el caso de un paciente con una fractura femoral tratado con un clavo intramedular cerrojado que sufrio una nueva fractura antes de extraer el material de osteosintesis. EnglishThe authors present a patient with a femoral fracture treated by interlocking nail who underwent a new fracture of the femoral shaft before removal of the nail.
ASSESSMENT OF NEONATAL CARE STANDARD BY THE PREDICTIVE MODEL FOR RETINOPATHY OF PREMATURITY BASED ON WEIGHT GAIN

SUMMARY Care of extremely premature infants is in constant need for evaluation and progress. WINROP, a predictive model based on weight gain, has been developed to reduce the number of stressful examinations for retinopathy for prematurity. Validation studies of WINROP emphasize the difference of applicability in neonatal units of various practice. The aim of the study was to assess the standard of neonatal care by WINROP. Data on extremely premature infants were collected from medical records and entered in WINROP. High- and low-risk WINROP distribution and retinopathy of prematurity outcomes were analyzed. Fifty-four infants, gestational age ≤28 weeks, were included in the study after exclusion of weight related comorbidities. High risk was noted in 74% (n=40) of infants with 24% (n=13) developing retinopathy of prematurity requiring treatment. In low alarm group, there were 3 cases with severe disease. In conclusion, WINROP is not just a provider of predictive information on the severity of retinopathy of prematurity. High-risk alarm indicates the need of adjustment of nutritional strategies. Infants without pathological growth morbidities who develop severe retinopathy of prematurity in low-risk group point to other risk factors for retinopathy of prematurity to be evaluated and changed in future practice.
Multi-Misconfiguration Diagnosis via Identifying Correlated Configuration Parameters

Software configuration requires that the user sets appropriate values to specified variables, known as configuration parameters, which potentially affect the behaviors of software system. It is an essential means for software reliability, but how to ensure correct configurations remains a great challenge, especially when a large number of parameter settings are involved. Existing studies on misconfiguration diagnosis treat all configurations independently, ignoring the constraints and correlations among different configurations. In this article, we reveal the phenomenon of multi-misconfigurations and present a tool, MMD, for multi-misconfigurations diagnosis. Specifically, MMD consists of two modules: Correlated Configurations Analysis and Primary Misconfigurations Diagnosis. The former determines the correlation among each pair of configurations by analyzing the control and data flows related to each configuration. The latter is responsible for collecting a list of configurations ranked according to their suspiciousness. Combining the outputs of two modules, MMD is able to assist the user in multi-misconfigurations diagnosis. We evaluate MMD on seven popular Java projects: Randoop, Soot, Synoptic, Hdfs, Hbase, Yarn, and Zookeeper. MMD identifies 510 configuration correlations with a 4.9% false positive rate. Furthermore, it effectively diagnoses 22 multi-misconfigurations collected from StackOverflow, outperforming two state-of-the-art baselines.
Conveying conversational cues through video

Visual conversational cues such as hand gestures, lip movements, and eye contact can be conveyed through a video medium. However, existing videoconferencing systems often subtly distort these conversational cues such that the person, rather than the medium, is viewed with negative attributes. For example, a delayed response due to video transmission may cause the person to be viewed as slow. Lip movements not synchronized with speech due to video compression may cause the person to be viewed as less credible. And difficulties with eye contact due to camera placement may cause the person to be viewed as unfriendly. In this dissertation, we describe empirical findings and novel algorithms for conveying floor control hand gestures, lip movements, and eye contact over the video medium. We describe (1) a variable frame rate streaming algorithm based on our finding that the average video frame rate can be reduced to one frame every few seconds and still allow effective floor control if hand movements are transmitted without delay; (2) a low latency lip synchronization algorithm based on our finding that audio can temporarily lead video and still be perceived as synchronized if the audio and video are brought into synchrony within a short period; and (3) an eye contact algorithm based on our finding that the sensitivity to eye contact is asymmetric, in that we are less sensitive to eye contact when people look below our eyes than when they look to the left, right, or above our eyes. We implemented our algorithms in a scalable software-based visual communication system called the Video Auditorium. The implementation of Video Auditorium is motivated by our 6-month classroom observational study of Stanford Online that found that when the instructor cannot see the remote students, there is essentially no interaction with them. We used Video Auditorium to visually connect students in Germany, Sweden, Slovenia, and Berkeley with Stanford in a 4-month pilot class, and found that when the instructor can see the remote students, the remote interaction is as rich and rewarding as the interaction with the local students.
Deteksi Anomali Menggunakan Extended Isolation Forest (Eif)

Tujuan Utama: Tujuan dari penelitian ini adalah untuk mengembangkan algoritma deteksi anomali yang lebih efektif dan akurat menggunakan Extended Isolation Forest (EIF) dan mengimplementasikannya ke dalam platform sumber terbuka Machine Learning (ML) H2O-3. Background problem: Algoritma Isolation Forest (IF) asli menghadirkan bentuk deteksi baru, meskipun algoritme mengalami bias yang berasal dari percabangan pohon. Perpanjangan algoritme menghilangkan bias dengan menyesuaikan percabangan, dan algoritme asli hanya menjadi kasus khusus. EIF diimplementasikan ke dalam platform sumber terbuka ML H2O-3. kebaharuan: Kebaruan dari penelitian ini adalah penggunaan algoritma EIF dalam deteksi anomali. Selain itu, penelitian ini juga mengimplementasikan EIF ke dalam platform sumber terbuka ML H2O-3 untuk dijalankan pada sistem komputasi terdistribusi dengan pustaka Map/Reduce. Research Method: Penelitian ini menggunakan metode deteksi anomali dengan fokus pada algoritma EIF. temuan: Hasil pengujian menunjukkan bahwa Extended Isolation Model perlu disesuaikan. Tes kinerja deteksi anomali mengungkapkan sedikit ketidaksempurnaan dalam deteksi struktur data jika dibandingkan dengan satu-satunya implementasi algoritma Python yang tersedia. Hasil ujian untuk tahap evaluasi dinyatakan lulus dan waktu komputasi secara logaritmik lebih kecil dengan jumlah utas. Kesimpulan: pada penelitian selanjutnya, algoritma dapat ditingkatkan lebih lanjut dengan menskalakan anomali deteksi untuk data dimensi tinggi. Ini dapat diimplementasikan dengan menambahkan parameter lain yang memungkinkan metode pemilihan fitur dalam perhitungan.
The Price of Hate : Household Finance and Non-Pecuniary Preferences October 2018

Airbnb hosts in college towns increase their listing prices more than hotels on home football games against rival teams. As a result of setting listing prices too high, rental income is approximately 30% lower. The overestimation of demand and the possibility of damage cannot explain the inverse relation between listing prices and rental incomes on games against rival teams. Instead, nancial constraints are associated with hosts setting smaller listing price increases and earning higher rental incomes on rival games.
First record of occurrence and injury of Anomala testaceipennis Blanchard, 1851 (Coleoptera: Scarabaeidae: Rutelinae) in arabica coffee in Brazil

The objective of this study is to record the injury of Anomala testaceipennis Blanchard, 1851 (Coleoptera: Scarabaeidae: Rutelinae) adults in coffee Coffea arabica L. in municipality of Piumhi, Minas Gerais, Brazil. This is the first reported of the A. testaceipennis attacking coffee.